From e35ea9e708feaf6c424923029d6a89b61270b386 Mon Sep 17 00:00:00 2001
From: nicolotognoni <nicolo.tognoni1@gmail.com>
Date: Sun, 17 May 2026 23:42:02 +0200
Subject: [PATCH 01/11] ci: grant security-events:write to bandit SARIF upload
 + bump action to v4

The `bandit` job in `.github/workflows/audit.yml` was failing on the
`github/codeql-action/upload-sarif` step with `Resource not accessible
by integration`, leaving Bandit findings out of the GitHub Security tab.
Root cause: the job inherited the repo-default read-only GITHUB_TOKEN
permissions, but the SARIF upload requires `security-events: write`.

Add an explicit per-job `permissions:` block (`contents: read`,
`security-events: write`) and bump `codeql-action/upload-sarif` from
@v3 to @v4 to clear the December 2026 deprecation warning at the same
time.
---
 .github/workflows/audit.yml |  9 ++++++++-
 CHANGELOG.md                | 12 ++++++++++++
 2 files changed, 20 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/audit.yml b/.github/workflows/audit.yml
index e73ddf02..a1afcf6f 100644
--- a/.github/workflows/audit.yml
+++ b/.github/workflows/audit.yml
@@ -87,6 +87,13 @@ jobs:
   bandit:
     name: Python static analysis (bandit)
     runs-on: ubuntu-latest
+    # `security-events: write` is required by `codeql-action/upload-sarif`
+    # to push findings into the GitHub Security tab. Without it the upload
+    # step fails with "Resource not accessible by integration". `contents:
+    # read` is the minimum the checkout step needs.
+    permissions:
+      contents: read
+      security-events: write
     steps:
       - uses: actions/checkout@v6
       - name: Set up Python 3.12
@@ -112,7 +119,7 @@ jobs:
           bandit -r libraries/python/getpatter -ll -iii \
             --exclude libraries/python/getpatter/dashboard/ui.py \
             -f sarif -o bandit.sarif || true
-      - uses: github/codeql-action/upload-sarif@v3
+      - uses: github/codeql-action/upload-sarif@v4
         # Only upload when the SARIF file was actually produced — if the
         # formatter install fails on a future bandit version the step
         # shouldn't fail the job, it just skips the Security-tab upload.
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 7310d9ae..4caef5a5 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,17 @@
 ## Unreleased
 
+### Fixed
+
+- **CI: Security Audit workflow could not upload Bandit SARIF to the GitHub
+  Security tab.** The `bandit` job in `.github/workflows/audit.yml` was
+  failing on `github/codeql-action/upload-sarif` with `Resource not
+  accessible by integration` because the job inherited the repo-default
+  read-only `GITHUB_TOKEN` permissions. Added an explicit
+  `permissions: { contents: read, security-events: write }` block on the
+  job so SARIF findings reach the Security tab as intended. Bumped the
+  action from `@v3` to `@v4` to drop the deprecation warning ahead of the
+  December 2026 sunset.
+
 ## 0.6.1 (2026-05-15)
 
 ### Fixed — `OpenAIRealtime2`: audio transcoding for Twilio + outbound chunking + VAD tuning (TypeScript only)

From 7bc143ad812f68e7bcffb909f6cb87a12b1f9f66 Mon Sep 17 00:00:00 2001
From: nicolotognoni <nicolo.tognoni1@gmail.com>
Date: Mon, 18 May 2026 11:40:19 +0200
Subject: [PATCH 02/11] fix(metrics): drop late recordTurnComplete after
 recordTurnInterrupted on same turn
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Pipeline `transcript.jsonl` rows after a barge-in carried an empty
`user_text` even when the user had clearly spoken. Root cause was a
race between the two turn-close paths:

  1. The VAD-driven barge-in fires `recordTurnInterrupted` synchronously
     inside the audio handler. `_resetTurnState` clears `_turnUserText`.
  2. The in-flight pipeline LLM stream keeps unwinding on its own task
     (we already abort it via `llmAbort`, but `processTranscript` only
     unwinds back to its top-level `recordTurnComplete` call after the
     `for await` loop exits).
  3. That late `recordTurnComplete` pushed a SECOND turn for the same
     logical exchange — `agent_text=<partial cancelled text>`,
     `user_text=""`. The first interrupted turn was emitted to the event
     bus (correctly) but only `recordTurnComplete` is forwarded to the
     `transcript.jsonl` writer, so the operator-facing JSON showed the
     phantom row.

Fix: both SDKs gain a `_turnAlreadyClosed` / `_turn_already_closed`
guard flipped inside `recordTurnInterrupted` (after the existing
`_resetTurnState`). `recordTurnComplete` now returns `null` / `None`
when the flag is set, until the next `startTurn` / `start_turn`
re-arms the accumulator. `emitTurnMetrics` / `_emit_turn_metrics`
were already null-safe, so the late call becomes a silent no-op
end-to-end.

Regression tests pin the bargein → llmAbort → late-complete ordering
and the start_turn re-arm path in both libraries.

See `patter-sdk-acceptance/BUGS.md` (2026-05-05 entry — was tagged
NEEDS RE-VERIFICATION; the code-path analysis stands and the fix is
additive + behind a flag that defaults to the existing behaviour for
turns that never barge-in, so it is safe to land ahead of a fresh
matrix run).
---
 CHANGELOG.md                                  | 19 +++++++
 .../python/getpatter/services/metrics.py      | 31 ++++++++++-
 libraries/python/tests/test_metrics.py        | 51 +++++++++++++++++-
 libraries/typescript/src/metrics.ts           | 33 +++++++++++-
 libraries/typescript/tests/metrics.test.ts    | 54 +++++++++++++++++++
 5 files changed, 183 insertions(+), 5 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 4caef5a5..ae0f5101 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,6 +2,25 @@
 
 ### Fixed
 
+- **Pipeline metrics: `transcript.jsonl` rows after a barge-in carried an
+  empty `user_text` even when the user had clearly spoken.** Root cause
+  was a race between the two turn-close paths: a VAD-driven barge-in
+  fired `record_turn_interrupted` / `recordTurnInterrupted` synchronously
+  inside the audio handler and `_reset_turn_state` cleared
+  `_turn_user_text`, while the in-flight pipeline LLM stream kept
+  unwinding on its own task and eventually reached
+  `record_turn_complete` / `recordTurnComplete` — which then pushed a
+  second turn for the same logical exchange carrying `user_text=""`.
+  Both SDKs now flip a `_turn_already_closed` / `_turnAlreadyClosed`
+  guard on `record_turn_interrupted` and have `record_turn_complete`
+  return `None` / `null` until the next `start_turn` re-arms the
+  accumulator. `_emit_turn_metrics` / `emitTurnMetrics` were already
+  null-safe, so the late call becomes a silent no-op end-to-end.
+  Regression tests pinning the bargein → llmAbort → late-complete
+  ordering live in `libraries/python/tests/test_metrics.py` and
+  `libraries/typescript/tests/metrics.test.ts`. See
+  `patter-sdk-acceptance/BUGS.md` (2026-05-05 entry).
+
 - **CI: Security Audit workflow could not upload Bandit SARIF to the GitHub
   Security tab.** The `bandit` job in `.github/workflows/audit.yml` was
   failing on `github/codeql-action/upload-sarif` with `Resource not
diff --git a/libraries/python/getpatter/services/metrics.py b/libraries/python/getpatter/services/metrics.py
index 1637816b..1c0a794e 100644
--- a/libraries/python/getpatter/services/metrics.py
+++ b/libraries/python/getpatter/services/metrics.py
@@ -90,6 +90,18 @@ def __init__(
         self._bargein_stopped_at: float | None = None
         self._turn_user_text: str = ""
         self._turn_stt_audio_seconds: float = 0.0
+        # Guard against the record_turn_interrupted / record_turn_complete
+        # race. A VAD-path barge-in fires ``record_turn_interrupted``
+        # synchronously inside the handler while the in-flight pipeline
+        # LLM stream keeps unwinding on its own task. When the LLM stream
+        # eventually exits, the pipeline path falls through to
+        # ``record_turn_complete``, which would push a second turn for
+        # the same logical exchange (this time carrying ``user_text=""``
+        # because the field was already reset). The flag is flipped by
+        # ``record_turn_interrupted`` and read by ``record_turn_complete``
+        # so the late ``record_turn_complete`` becomes a no-op until the
+        # next ``start_turn`` re-arms the accumulator.
+        self._turn_already_closed: bool = False
         # Cross-turn TTFT storage so _emit_turn_metrics can read it after reset
         self._last_turn_llm_ttft_ms: float = 0.0
 
@@ -201,6 +213,7 @@ def start_turn(self) -> None:
         self._bargein_stopped_at = None
         self._turn_user_text = ""
         self._turn_stt_audio_seconds = 0.0
+        self._turn_already_closed = False
         # Reset per-turn TTFB guard flags
         self._llm_ttfb_emitted = False
         self._tts_ttfb_emitted = False
@@ -397,8 +410,18 @@ def record_tts_stopped(self, ts: float | None = None) -> None:
         """
         self._bargein_stopped_at = ts if ts is not None else time.monotonic()
 
-    def record_turn_complete(self, agent_text: str) -> TurnMetrics:
-        """Finalize the current turn and return its metrics."""
+    def record_turn_complete(self, agent_text: str) -> TurnMetrics | None:
+        """Finalize the current turn and return its metrics.
+
+        Returns ``None`` when ``record_turn_interrupted`` has already
+        closed the current turn — this protects against the VAD-barge-in
+        / pipeline-LLM race where both paths try to finalise the same
+        logical turn and the second would otherwise push a phantom entry
+        with ``user_text=''``. The caller treats ``None`` as "nothing to
+        emit"; ``_emit_turn_metrics`` is already null-safe.
+        """
+        if self._turn_already_closed:
+            return None
         latency = self._compute_turn_latency()
         turn = TurnMetrics(
             turn_index=len(self._turns),
@@ -455,6 +478,10 @@ def record_turn_interrupted(self) -> TurnMetrics | None:
                 {"call_id": self.call_id, "turn": turn},
             )
         self._reset_turn_state()
+        # Mark the turn as closed so a late record_turn_complete from
+        # the pipeline-LLM unwind path becomes a no-op (see
+        # _turn_already_closed).
+        self._turn_already_closed = True
         # Extra paranoia: explicitly null out anchors that have caused leaks
         # into subsequent turns when a barge-in is in flight. _reset_turn_state
         # already clears them, but keep this belt-and-braces line so future
diff --git a/libraries/python/tests/test_metrics.py b/libraries/python/tests/test_metrics.py
index 604e1557..a2f33a7d 100644
--- a/libraries/python/tests/test_metrics.py
+++ b/libraries/python/tests/test_metrics.py
@@ -1,6 +1,5 @@
 """Tests for the CallMetricsAccumulator."""
 
-
 import pytest
 
 from getpatter.models import CallMetrics, CostBreakdown, LatencyBreakdown, TurnMetrics
@@ -89,6 +88,56 @@ def test_interrupted_turn_no_active_turn(self):
         turn = acc.record_turn_interrupted()
         assert turn is None
 
+    def test_record_turn_complete_is_noop_after_interrupted(self):
+        """Late ``record_turn_complete`` after ``record_turn_interrupted`` on
+        the same turn must be a no-op.
+
+        Repro of the VAD-barge-in / pipeline-LLM race documented in
+        ``BUGS.md`` (2026-05-05). The barge-in path closes the turn with
+        ``record_turn_interrupted`` while the in-flight pipeline LLM
+        stream eventually unwinds and reaches ``record_turn_complete``.
+        Without the guard, the late call would push a phantom turn with
+        ``user_text=''`` (since ``_reset_turn_state`` cleared the field)
+        and ``agent_text`` from the cancelled LLM stream.
+        """
+        acc = self._make_accumulator()
+
+        acc.start_turn()
+        acc.record_stt_complete("Hello", audio_seconds=1.0)
+        interrupted = acc.record_turn_interrupted()
+        assert interrupted is not None
+        assert interrupted.user_text == "Hello"
+        assert interrupted.agent_text == "[interrupted]"
+
+        # Late pipeline-LLM unwind reaches record_turn_complete with the
+        # cancelled responseText — must be silently dropped.
+        late = acc.record_turn_complete("partial LLM output")
+        assert late is None
+
+        # Only the interrupted turn is recorded.
+        result = acc.end_call()
+        assert len(result.turns) == 1
+        assert result.turns[0].agent_text == "[interrupted]"
+        assert result.turns[0].user_text == "Hello"
+
+    def test_record_turn_complete_rearms_after_start_turn(self):
+        """A fresh ``start_turn`` must re-arm the accumulator so the next
+        ``record_turn_complete`` is allowed again."""
+        acc = self._make_accumulator()
+
+        acc.start_turn()
+        acc.record_stt_complete("Hello")
+        acc.record_turn_interrupted()
+        assert acc.record_turn_complete("dropped") is None
+
+        # New turn begins.
+        acc.start_turn()
+        acc.record_stt_complete("Second turn")
+        completed = acc.record_turn_complete("Reply")
+        assert completed is not None
+        assert completed.user_text == "Second turn"
+        assert completed.agent_text == "Reply"
+
     def test_stt_audio_bytes_tracking(self):
         acc = self._make_accumulator()
         # Twilio mulaw: 8kHz, 1 byte/sample → 8000 bytes = 1 second
diff --git a/libraries/typescript/src/metrics.ts b/libraries/typescript/src/metrics.ts
index 96c3dce9..c1d205a5 100644
--- a/libraries/typescript/src/metrics.ts
+++ b/libraries/typescript/src/metrics.ts
@@ -245,6 +245,21 @@ export class CallMetricsAccumulator {
   private _bargeinStoppedAt: number | null = null;
   private _turnUserText = '';
   private _turnSttAudioSeconds = 0;
+  /**
+   * Guard against the recordTurnInterrupted / recordTurnComplete race.
+   *
+   * A VAD-path barge-in fires ``recordTurnInterrupted`` synchronously
+   * inside ``handleAudioAsync`` while the in-flight pipeline LLM stream
+   * keeps unwinding on its own task. When the LLM stream eventually
+   * exits, the existing pipeline path falls through to
+   * ``recordTurnComplete``, which would push a second turn for the same
+   * logical exchange (this time carrying ``user_text=''`` because the
+   * field was already reset). ``_turnAlreadyClosed`` is flipped by
+   * ``recordTurnInterrupted`` and read by ``recordTurnComplete`` so the
+   * late ``recordTurnComplete`` becomes a no-op until the next
+   * ``startTurn`` re-arms the accumulator.
+   */
+  private _turnAlreadyClosed = false;
 
   // Cumulative usage counters
   private _totalSttAudioSeconds = 0;
@@ -371,6 +386,7 @@ export class CallMetricsAccumulator {
     this._bargeinStoppedAt = null;
     this._turnUserText = '';
     this._turnSttAudioSeconds = 0;
+    this._turnAlreadyClosed = false;
     // Reset EOU state for this turn
     this._vadStoppedAt = null;
     this._sttFinalAt = null;
@@ -569,8 +585,18 @@ export class CallMetricsAccumulator {
     this._bargeinStoppedAt = ts ?? hrTimeMs();
   }
 
-  /** Close the current turn cleanly and append a `TurnMetrics` record. */
-  recordTurnComplete(agentText: string): TurnMetrics {
+  /**
+   * Close the current turn cleanly and append a `TurnMetrics` record.
+   *
+   * Returns ``null`` when ``recordTurnInterrupted`` has already closed
+   * the current turn — this protects against the VAD-barge-in /
+   * pipeline-LLM race where both paths try to finalise the same logical
+   * turn and the second would otherwise push a phantom entry with
+   * ``user_text=''``. The caller treats ``null`` as "nothing to emit";
+   * ``emitTurnMetrics`` is already null-safe.
+   */
+  recordTurnComplete(agentText: string): TurnMetrics | null {
+    if (this._turnAlreadyClosed) return null;
     const latency = this._computeTurnLatency();
     const turn: TurnMetrics = {
       turn_index: this._turns.length,
@@ -607,6 +633,9 @@ export class CallMetricsAccumulator {
     this._eventBus?.emit('turn_ended', { callId: this.callId, turn });
     this._eventBus?.emit('metrics_collected', { callId: this.callId, turn });
     this._resetTurnState();
+    // Mark the turn as closed so a late recordTurnComplete from the
+    // pipeline-LLM unwind path becomes a no-op (see _turnAlreadyClosed).
+    this._turnAlreadyClosed = true;
     // Extra paranoia: explicitly null out anchors that have caused leaks
     // into subsequent turns when a barge-in is in flight. _resetTurnState
     // already clears them, but keep this belt-and-braces line so future
diff --git a/libraries/typescript/tests/metrics.test.ts b/libraries/typescript/tests/metrics.test.ts
index befaa651..82d2ebdd 100644
--- a/libraries/typescript/tests/metrics.test.ts
+++ b/libraries/typescript/tests/metrics.test.ts
@@ -58,6 +58,60 @@ describe('CallMetricsAccumulator', () => {
     expect(turn!.tts_characters).toBe(0);
   });
 
+  it('recordTurnComplete is a no-op after recordTurnInterrupted on the same turn', () => {
+    // Repro of the VAD-barge-in / pipeline-LLM race documented in
+    // BUGS.md (2026-05-05). The barge-in path closes the turn with
+    // recordTurnInterrupted while the in-flight pipeline LLM stream
+    // eventually unwinds and reaches recordTurnComplete. Without the
+    // guard, the late call would push a phantom turn with user_text=''
+    // (since _resetTurnState cleared the field) and agent_text from
+    // the cancelled LLM stream.
+    const acc = new CallMetricsAccumulator({
+      callId: 'race1',
+      providerMode: 'pipeline',
+      telephonyProvider: 'twilio',
+    });
+
+    acc.startTurn();
+    acc.recordSttComplete('Hello');
+    const interrupted = acc.recordTurnInterrupted();
+    expect(interrupted).not.toBeNull();
+    expect(interrupted!.user_text).toBe('Hello');
+    expect(interrupted!.agent_text).toBe('[interrupted]');
+
+    // Late pipeline-LLM unwind reaches recordTurnComplete with the
+    // cancelled responseText — must be silently dropped.
+    const late = acc.recordTurnComplete('partial LLM output');
+    expect(late).toBeNull();
+
+    // Only the interrupted turn is recorded.
+    const result = acc.endCall();
+    expect(result.turns).toHaveLength(1);
+    expect(result.turns[0].agent_text).toBe('[interrupted]');
+    expect(result.turns[0].user_text).toBe('Hello');
+  });
+
+  it('startTurn re-arms the accumulator after an interrupted turn', () => {
+    const acc = new CallMetricsAccumulator({
+      callId: 'race2',
+      providerMode: 'pipeline',
+      telephonyProvider: 'twilio',
+    });
+
+    acc.startTurn();
+    acc.recordSttComplete('Hello');
+    acc.recordTurnInterrupted();
+    expect(acc.recordTurnComplete('dropped')).toBeNull();
+
+    // New turn begins.
+    acc.startTurn();
+    acc.recordSttComplete('Second turn');
+    const completed = acc.recordTurnComplete('Reply');
+    expect(completed).not.toBeNull();
+    expect(completed!.user_text).toBe('Second turn');
+    expect(completed!.agent_text).toBe('Reply');
+  });
+
   it('computes cost for pipeline mode', () => {
     const acc = new CallMetricsAccumulator({
       callId: 'c4',

From 20ffbac12990b5afc53f4d9d52608ac0f48e3e49 Mon Sep 17 00:00:00 2001
From: nicolotognoni <nicolo.tognoni1@gmail.com>
Date: Mon, 18 May 2026 12:00:18 +0200
Subject: [PATCH 03/11] feat(pipeline): enable prewarmFirstMessage by default
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Every pipeline acceptance run hit a 1.5-2.5 s p95 on the first turn
because the TTS first-byte latency (200-700 ms cold) was serialised with
the carrier's media-start event. Pre-rendering the greeting during the
ringing window and streaming the cached buffer at pickup collapses that
to a single Buffer.copy / bytes write — first-turn p95 returns to the
same band as subsequent turns.

Trade-off: paying the TTS bill on calls that ring and never answer
(~$0.001-$0.005 each depending on TTS provider). Opt out with
``prewarmFirstMessage: false`` (TS) / ``prewarm_first_message=False``
(Py) for very high-volume outbound where un-answered TTS spend matters.

Changes:
- libraries/python/getpatter/models.py — Agent dataclass field default
  flipped from False to True; docstring updated.
- libraries/typescript/src/client.ts — Patter.agent() factory now
  defaults the field to true when provider === 'pipeline' and the
  caller didn't pass an explicit value. Realtime / ConvAI modes
  unchanged (those handlers never consume the prewarm cache).
- libraries/typescript/src/types.ts — docstring updated.

Tests added in both SDKs covering the new default and the opt-out path.
---
 CHANGELOG.md                                  | 23 ++++++++++++
 libraries/python/getpatter/models.py          | 16 +++++----
 libraries/python/tests/test_prewarm.py        | 18 ++++++++--
 libraries/typescript/src/client.ts            | 13 +++++++
 libraries/typescript/src/types.ts             | 19 +++++-----
 .../typescript/tests/unit/prewarm.test.ts     | 35 ++++++++++++++++++-
 6 files changed, 105 insertions(+), 19 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index ae0f5101..4151c170 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,28 @@
 ## Unreleased
 
+### Changed
+
+- **Pipeline `prewarmFirstMessage` / `prewarm_first_message` now defaults
+  to `true`.** Every pipeline acceptance run had a 1.5-2.5 s `p95` on the
+  first turn because the TTS first-byte latency (200-700 ms cold) was
+  serialised with the carrier's `media-start` event. Pre-rendering the
+  greeting during the ringing window and streaming the cached buffer at
+  pickup collapses that to a single `Buffer.copy` / `bytes` write —
+  first-turn `p95` on the regenerated matrix scripts drops back into the
+  same band as subsequent turns.
+
+  The trade-off is paying the TTS bill on calls that ring and never
+  answer (~$0.001-$0.005 each depending on TTS provider). Restore the
+  prior behaviour by passing `prewarmFirstMessage: false` (TS) /
+  `prewarm_first_message=False` (Py) on `phone.agent({...})` — useful
+  for very high-volume outbound where un-answered TTS spend matters.
+
+  Default applied at: `libraries/python/getpatter/models.py:Agent`
+  (dataclass field default) and
+  `libraries/typescript/src/client.ts:Patter.agent()` (factory default
+  for `provider === 'pipeline'`). Realtime / ConvAI provider modes are
+  not affected — those handlers never consume the prewarm cache.
+
 ### Fixed
 
 - **Pipeline metrics: `transcript.jsonl` rows after a barge-in carried an
diff --git a/libraries/python/getpatter/models.py b/libraries/python/getpatter/models.py
index e3c036cc..9a546a73 100644
--- a/libraries/python/getpatter/models.py
+++ b/libraries/python/getpatter/models.py
@@ -214,21 +214,23 @@ class Agent:
     # call. See ``docs/python-sdk/latency.mdx`` for the cold-start latency
     # rationale.
     prewarm: bool = True
-    # When ``True`` (default ``False``), ``Patter.call`` also pre-renders
+    # When ``True`` (default since 0.6.2), ``Patter.call`` pre-renders
     # ``first_message`` to TTS audio bytes during the ringing window and
     # streams the cached buffer immediately when the carrier emits ``start``.
-    # Eliminates the 200-700 ms TTS first-byte latency on the greeting at the
-    # cost of paying the TTS bill even if the call is never answered (silently
-    # logged at WARN level when the call fails). Off by default to preserve
-    # the prior cost surface; opt-in for production outbound where every
-    # millisecond of greeting latency hurts conversion.
+    # Eliminates the 200-700 ms TTS first-byte latency on the greeting that
+    # dominated the first-turn ``p95`` on every pipeline acceptance run.
+    # The trade-off is paying the TTS bill even if the call is never
+    # answered (silently logged at WARN level when the call fails) —
+    # typically $0.001-$0.005 per ringing call depending on TTS provider.
+    # Opt out by passing ``prewarm_first_message=False`` (e.g. for very
+    # high-volume outbound where un-answered TTS spend matters).
     #
     # **Pipeline mode only.** Realtime / ConvAI provider modes never
     # consume the prewarm cache (the StreamHandler for those modes runs
     # its first-message emit through the provider's own audio path), so
     # ``Patter.call`` refuses to spawn the prewarm task and emits a WARN
     # when ``provider != "pipeline"``.
-    prewarm_first_message: bool = False
+    prewarm_first_message: bool = True
 
 
 @dataclass(frozen=True)
diff --git a/libraries/python/tests/test_prewarm.py b/libraries/python/tests/test_prewarm.py
index 65376b77..0f9bbf98 100644
--- a/libraries/python/tests/test_prewarm.py
+++ b/libraries/python/tests/test_prewarm.py
@@ -122,10 +122,24 @@ async def _wait_for_tasks(phone: Patter, timeout: float = 1.0) -> None:
 
 
 async def test_default_prewarm_flag_is_true() -> None:
-    """``Agent.prewarm`` defaults to True; ``prewarm_first_message`` defaults
-    to False to preserve the prior cost surface (opt-in for the TTS bill)."""
+    """``Agent.prewarm`` and ``Agent.prewarm_first_message`` both default to
+    True since 0.6.2 — first-turn p95 on pipeline mode was dominated by
+    the 200-700 ms TTS first-byte latency on the greeting, eliminated by
+    pre-rendering during the ringing window."""
     agent = Agent(system_prompt="hi", first_message="hello")
     assert agent.prewarm is True
+    assert agent.prewarm_first_message is True
+
+
+async def test_prewarm_first_message_opt_out() -> None:
+    """Callers can disable greeting pre-rendering with
+    ``prewarm_first_message=False`` to restore the pre-0.6.2 cost surface
+    (no TTS bill on un-answered calls)."""
+    agent = Agent(
+        system_prompt="hi",
+        first_message="hello",
+        prewarm_first_message=False,
+    )
     assert agent.prewarm_first_message is False
 
 
diff --git a/libraries/typescript/src/client.ts b/libraries/typescript/src/client.ts
index 2138df15..2ee2ae29 100644
--- a/libraries/typescript/src/client.ts
+++ b/libraries/typescript/src/client.ts
@@ -520,6 +520,19 @@ export class Patter {
       validateAllToolSchemas(working.tools as ToolDefinition[]);
     }
 
+    // Default `prewarmFirstMessage` to true in pipeline mode (0.6.2).
+    // First-turn p95 on every pipeline acceptance run was dominated by
+    // the 200-700 ms TTS first-byte latency on the greeting; pre-rendering
+    // during the ringing window collapses that to a single buffer-copy at
+    // pickup. Opt-out by passing `prewarmFirstMessage: false` explicitly
+    // — high-volume outbound where un-answered TTS spend matters can
+    // restore the pre-0.6.2 behaviour. Realtime / ConvAI modes never
+    // consume the cache; leave them unchanged so we don't pay TTS for a
+    // synth no caller will hear.
+    if (working.prewarmFirstMessage === undefined && working.provider === 'pipeline') {
+      working = { ...working, prewarmFirstMessage: true };
+    }
+
     return working;
   }
 
diff --git a/libraries/typescript/src/types.ts b/libraries/typescript/src/types.ts
index b1561c83..3551aca2 100644
--- a/libraries/typescript/src/types.ts
+++ b/libraries/typescript/src/types.ts
@@ -470,15 +470,16 @@ export interface AgentOptions {
    */
   prewarm?: boolean;
   /**
-   * When ``true`` (default ``false``), ``Patter.call`` also pre-renders
-   * ``firstMessage`` to TTS audio bytes during the ringing window and
-   * streams the cached buffer immediately when the carrier emits
-   * ``start``. Eliminates the 200-700 ms TTS first-byte latency on the
-   * greeting at the cost of paying the TTS bill even if the call is
-   * never answered (silently logged at warn level when the call
-   * fails). Off by default to preserve the prior cost surface; opt-in
-   * for production outbound where every millisecond of greeting
-   * latency hurts conversion. Default: ``false``.
+   * When ``true`` (default since 0.6.2 in pipeline mode), ``Patter.call``
+   * pre-renders ``firstMessage`` to TTS audio bytes during the ringing
+   * window and streams the cached buffer immediately when the carrier
+   * emits ``start``. Eliminates the 200-700 ms TTS first-byte latency
+   * on the greeting that dominated first-turn ``p95`` on every pipeline
+   * acceptance run. The trade-off is paying the TTS bill even if the
+   * call is never answered (silently logged at warn level when the call
+   * fails) — typically $0.001-$0.005 per ringing call depending on TTS
+   * provider. Opt out by passing ``prewarmFirstMessage: false`` (e.g.
+   * for very high-volume outbound where un-answered TTS spend matters).
    *
    * **Pipeline mode only.** Realtime / ConvAI provider modes never
    * consume the prewarm cache (the StreamHandler for those modes runs
diff --git a/libraries/typescript/tests/unit/prewarm.test.ts b/libraries/typescript/tests/unit/prewarm.test.ts
index 5d5c8096..eba5b222 100644
--- a/libraries/typescript/tests/unit/prewarm.test.ts
+++ b/libraries/typescript/tests/unit/prewarm.test.ts
@@ -96,7 +96,40 @@ describe('[unit] prewarm — Agent flag defaults', () => {
     expect(agent.prewarmFirstMessage).toBeUndefined();
     // Default behaviour: prewarm is on unless user explicitly set false.
     expect(agent.prewarm !== false).toBe(true);
-    expect(Boolean(agent.prewarmFirstMessage)).toBe(false);
+  });
+
+  it('phone.agent() defaults prewarmFirstMessage to true in pipeline mode', () => {
+    const phone = makePatter();
+    const stt = new StubSTT();
+    const tts = new StubTTS();
+    const llm = new StubLLM();
+    const agent = phone.agent({ systemPrompt: 'hi', stt, tts, llm });
+    expect(agent.provider).toBe('pipeline');
+    expect(agent.prewarmFirstMessage).toBe(true);
+  });
+
+  it('phone.agent() does NOT default prewarmFirstMessage in realtime mode', () => {
+    // Realtime / ConvAI handlers never consume the prewarm cache; setting
+    // the flag would only waste TTS spend, so the default stays off when
+    // the caller didn't explicitly pick pipeline.
+    const phone = makePatter();
+    const agent = phone.agent({ systemPrompt: 'hi', provider: 'openai_realtime' });
+    expect(agent.prewarmFirstMessage).toBeUndefined();
+  });
+
+  it('phone.agent() preserves explicit prewarmFirstMessage=false in pipeline mode (opt-out)', () => {
+    const phone = makePatter();
+    const stt = new StubSTT();
+    const tts = new StubTTS();
+    const llm = new StubLLM();
+    const agent = phone.agent({
+      systemPrompt: 'hi',
+      stt,
+      tts,
+      llm,
+      prewarmFirstMessage: false,
+    });
+    expect(agent.prewarmFirstMessage).toBe(false);
   });
 });
 

From 5574997c13573a5bd4ffc3834d604634f4683199 Mon Sep 17 00:00:00 2001
From: nicolotognoni <nicolo.tognoni1@gmail.com>
Date: Mon, 18 May 2026 17:01:39 +0200
Subject: [PATCH 04/11] fix(prewarm): burst-deliver prewarmed first-message
 bytes, drop the slow per-chunk sleep
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

sendPacedFirstMessageBytes (TS) / _send_paced_first_message_bytes (Py)
were pacing each prewarm chunk with setTimeout / asyncio.sleep of one
chunk-equivalent of playout time (~40 ms for the 1280-byte chunk).
Combined with the waitForMarkWindow back-pressure and JavaScript /
asyncio timer jitter, effective delivery dropped BELOW Twilio's 8 kHz
playout clock on the typical 2-4 s prewarmed greeting, producing
repeated carrier-side underruns. The caller heard the firstMessage as
slow, gravelly, intermittent — even though `p95 wait` reported 0 ms
(the prewarm cache hit was correct; it was the downstream pacing that
was broken).

Twilio's Media Streams docs (websocket-messages) explicitly state media
messages "of any size" are "buffered and played in the order received"
by the carrier-side media server — the carrier is the source of truth
for the 8 kHz playout clock, not our send loop. The live-TTS streaming
path (synthesizeSentence + first-message live fallback) has always
bursted chunks back-to-back without any sleep, and has always worked.

Bring the prewarm path in line with the live path: drop the per-chunk
sleep + the burst-vs-paced switch (initialFillComplete). Per-chunk
marks are still emitted so a barge-in's sendClear keeps fine-grained
granularity to cut, and the existing PREWARM_CHUNK_BYTES (1280 B ≈
40 ms @ 16 kHz PCM16) bounds the worst-case mid-flush amount that
sendClear has to drop.

Cleaned up the now-unused PCM16_16K_BYTES_PER_MS constant in both SDKs.
---
 CHANGELOG.md                                 | 27 ++++++++++++
 libraries/python/getpatter/stream_handler.py | 39 +++++++----------
 libraries/typescript/src/stream-handler.ts   | 44 +++++++-------------
 3 files changed, 57 insertions(+), 53 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 4151c170..028b2c31 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,32 @@
 ## Unreleased
 
+### Fixed
+
+- **First-message prewarm playback was slow + gravelly + intermittent on
+  Twilio.** `sendPacedFirstMessageBytes` (TS) /
+  `_send_paced_first_message_bytes` (Py) paced each prewarm chunk with a
+  `setTimeout` / `asyncio.sleep` of one chunk-equivalent of playout time
+  (~40 ms for the 1280-byte default chunk). Combined with the
+  `waitForMarkWindow` back-pressure await and JavaScript/asyncio timer
+  jitter, effective delivery dropped BELOW Twilio's 8 kHz playout clock
+  on the 2-4 s prewarmed greeting buffer, producing repeated carrier-
+  side underruns. Caller heard the message "slow, gravelly, and
+  arriving more slowly than the rest". Twilio's docs (Media Streams →
+  WebSocket Messages) explicitly state "media messages of any size" are
+  "buffered and played in the order received" by the carrier-side media
+  server — the carrier is the source of truth for the playout clock,
+  not our send loop. Removed the per-chunk sleep + the burst-vs-paced
+  switch (`initialFillComplete`) so the prewarm path now bursts all
+  chunks back-to-back, matching the live-TTS streaming path that has
+  always worked. Per-chunk marks are still emitted, so a barge-in's
+  `sendClear` keeps fine-grained granularity to cut.
+
+  Verified against `outbound-openai-transcribe-openai-openai`:
+  pre-fix the same acceptance scenario produced slow/gravelly first-
+  message playback with `p95 wait=0 ms` (prewarm cache hit was correct,
+  but downstream pacing was broken). Files: `libraries/typescript/src/
+  stream-handler.ts`, `libraries/python/getpatter/stream_handler.py`.
+
 ### Changed
 
 - **Pipeline `prewarmFirstMessage` / `prewarm_first_message` now defaults
diff --git a/libraries/python/getpatter/stream_handler.py b/libraries/python/getpatter/stream_handler.py
index a75c42dc..f4b11b01 100644
--- a/libraries/python/getpatter/stream_handler.py
+++ b/libraries/python/getpatter/stream_handler.py
@@ -3455,10 +3455,6 @@ async def _flush_inbound_audio_ring(self) -> None:
     # deadlock window when a carrier (or a test double) never echoes —
     # playout may glitch by one chunk on timeout but the call stays alive.
     _MARK_AWAIT_TIMEOUT_S: float = 0.5
-    # Bytes-per-millisecond for a 16 kHz PCM16 mono stream — used by the
-    # non-Twilio firstMessage pacing path to translate chunk size into a
-    # playout-duration sleep. 16000 samples/sec × 2 bytes = 32 bytes/ms.
-    _PCM16_16K_BYTES_PER_MS: int = 32
 
     def _drain_pending_marks(self) -> None:
         """Resolve every entry in ``_pending_marks`` and empty the FIFO.
@@ -3588,15 +3584,23 @@ async def _send_paced_first_message_bytes(self, bytes_: bytes) -> bool:
             self._drain_pending_marks()
         self._first_message_mark_counter = 0
         first_chunk_sent = False
-        # Once the mark window is first filled we switch to playout-time pacing
-        # to prevent batch-ACK bursts. Before that we send in burst so the first
-        # _FIRST_MESSAGE_MARK_WINDOW chunks pre-fill the PSTN jitter buffer.
-        initial_fill_complete = False
+        # Burst delivery: send all chunks back-to-back, exactly like the live
+        # TTS path (synthesize_sentence / first_message live fallback).
+        # Twilio explicitly accepts "media messages of any size" — frames
+        # are "buffered and played in the order received" by the carrier-
+        # side media server, which is the source of truth for the 8 kHz
+        # playout clock. Earlier revisions paced each chunk by
+        # ``playout_ms`` via ``asyncio.sleep`` to "throttle to the playout
+        # rate", but the cumulative ``_wait_for_mark_window`` wait pushed
+        # effective delivery BELOW Twilio's playout rate on long intros
+        # (the prewarm cache is typically 2-4 s of audio), producing
+        # periodic carrier-side buffer underruns audible to the caller as
+        # slow, gravelly, intermittent playback. Marks are still emitted
+        # per chunk so a barge-in's ``send_clear`` still has fine-grained
+        # granularity to cut.
         for i in range(0, len(bytes_), self._PREWARM_CHUNK_BYTES):
             if not self._is_speaking:
                 break  # barge-in mid-buffer — stop now
-            # Back-pressure: if too many marks are unconfirmed, wait.
-            # Drains immediately on cancel.
             await self._wait_for_mark_window()
             if not self._is_speaking:
                 break
@@ -3607,20 +3611,7 @@ async def _send_paced_first_message_bytes(self, bytes_: bytes) -> bool:
                 self._aec.push_far_end(chunk)
             await self.audio_sender.send_audio(chunk)
             self._mark_first_audio_sent()
-            mark_future = await self._send_mark_awaitable()
-            if (
-                not initial_fill_complete
-                and len(self._pending_marks) >= self._FIRST_MESSAGE_MARK_WINDOW
-            ):
-                initial_fill_complete = True
-            # Telnyx has no mark concept — always pace by playout time.
-            # Twilio: the first _FIRST_MESSAGE_MARK_WINDOW chunks go out in burst
-            # to pre-fill the PSTN jitter buffer (250–1500 ms), then playout-time
-            # pacing kicks in (via the sticky initial_fill_complete flag) to prevent
-            # batch-ACK bursts from draining the buffer → crackling.
-            if mark_future is None or initial_fill_complete:
-                playout_ms = max(1, len(chunk) // self._PCM16_16K_BYTES_PER_MS)
-                await asyncio.sleep(playout_ms / 1000.0)
+            await self._send_mark_awaitable()
         return first_chunk_sent
 
     async def cleanup(self) -> None:
diff --git a/libraries/typescript/src/stream-handler.ts b/libraries/typescript/src/stream-handler.ts
index 3c68078d..52817b03 100644
--- a/libraries/typescript/src/stream-handler.ts
+++ b/libraries/typescript/src/stream-handler.ts
@@ -565,13 +565,6 @@ export class StreamHandler {
     }
   }
 
-  /**
-   * Bytes-per-millisecond for a 16 kHz PCM16 mono stream. Used by the
-   * non-Twilio firstMessage pacing path to translate chunk size into a
-   * playout-duration sleep. 16000 samples/sec × 2 bytes = 32 bytes/ms.
-   */
-  private static readonly PCM16_16K_BYTES_PER_MS = 32;
-
   /** Cancel and clear the pending grace timer, if any. */
   private clearGraceTimer(): void {
     if (this.graceTimer !== null) {
@@ -1527,14 +1520,22 @@ export class StreamHandler {
     if (this.pendingMarks.length > 0) this.drainPendingMarks();
     this.firstMessageMarkCounter = 0;
     let firstChunkSent = false;
-    // Once the mark window is first filled we switch to playout-time pacing
-    // to prevent batch-ACK bursts. Before that we send in burst so the first
-    // FIRST_MESSAGE_MARK_WINDOW chunks pre-fill the PSTN jitter buffer.
-    let initialFillComplete = false;
+    // Burst delivery: send all chunks back-to-back, exactly like the live
+    // TTS path (synthesizeSentence / firstMessage live fallback). Twilio
+    // explicitly accepts "media messages of any size" — frames are
+    // "buffered and played in the order received" by the carrier-side
+    // media server, which is the source of truth for the 8 kHz playout
+    // clock. Earlier revisions paced each chunk by ``playoutMs`` via
+    // setTimeout to "throttle to the playout rate", but JavaScript
+    // setTimeout drift + the cumulative ``waitForMarkWindow`` wait
+    // pushed effective delivery BELOW Twilio's playout rate on long
+    // intros (the prewarm cache is typically 2-4 s of audio), producing
+    // periodic carrier-side buffer underruns audible to the caller as
+    // slow, gravelly, intermittent playback. Marks are still emitted
+    // per chunk so a barge-in's ``sendClear`` still has fine-grained
+    // granularity to cut.
     for (let i = 0; i < bytes.length; i += StreamHandler.PREWARM_CHUNK_BYTES) {
       if (!this.isSpeaking) break; // barge-in mid-buffer — stop now
-      // Back-pressure: if too many marks are unconfirmed, wait. Drains
-      // immediately on cancelSpeaking.
       await this.waitForMarkWindow();
       if (!this.isSpeaking) break;
       const chunk = bytes.subarray(i, i + StreamHandler.PREWARM_CHUNK_BYTES);
@@ -1543,22 +1544,7 @@ export class StreamHandler {
       const encoded = this.encodePipelineAudio(chunk);
       this.deps.bridge.sendAudio(this.ws, encoded, this.streamSid);
       this.markFirstAudioSent();
-      const markPromise = this.sendMarkAwaitable();
-      if (!initialFillComplete && this.pendingMarks.length >= StreamHandler.FIRST_MESSAGE_MARK_WINDOW) {
-        initialFillComplete = true;
-      }
-      // Telnyx has no mark concept — always pace by playout time.
-      // Twilio: the first FIRST_MESSAGE_MARK_WINDOW chunks go out in burst
-      // to pre-fill the PSTN jitter buffer (250–1500 ms), then playout-time
-      // pacing kicks in (via the sticky initialFillComplete flag) to prevent
-      // batch-ACK bursts from draining the buffer → crackling.
-      if (markPromise === null || initialFillComplete) {
-        const playoutMs = Math.max(
-          1,
-          Math.floor(chunk.length / StreamHandler.PCM16_16K_BYTES_PER_MS),
-        );
-        await new Promise<void>((resolve) => setTimeout(resolve, playoutMs));
-      }
+      this.sendMarkAwaitable();
     }
     return firstChunkSent;
   }

From d77223e4ad18fa81012464960e55d0d006768558 Mon Sep 17 00:00:00 2001
From: nicolotognoni <nicolo.tognoni1@gmail.com>
Date: Mon, 18 May 2026 17:39:10 +0200
Subject: [PATCH 05/11] fix+docs: post-quality-gate cleanup for 0.6.2
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Surfaced by a parallel review pass (code-reviewer + sdk-parity + docs-sync
+ code-simplifier agents on the release/0.6.2 diff).

1. **Parity fix — Python ``_reset_turn_state`` now clears
   ``_turn_committed_mono``** (libraries/python/getpatter/services/metrics.py).
   TS ``_resetTurnState`` already clears the equivalent field on every
   turn close (metrics.ts), but Python only cleared it inside
   ``start_turn`` and ``record_turn_interrupted``. After a cleanly
   completed turn the field remained set until the next ``start_turn``;
   ``anchor_user_speech_start`` (which guards on
   ``self._turn_committed_mono is not None``) would falsely no-op on a
   VAD ``speech_start`` arriving between ``record_turn_complete`` and
   the next ``start_turn`` on back-to-back turns. Single-line additive
   fix; no behaviour change on already-aligned flows.

2. **Docs — document the prewarm_first_message / prewarmFirstMessage
   default flip** (docs/python-sdk/agents.mdx,
   docs/typescript-sdk/agents.mdx). Added a row in each AgentOptions
   table calling out the 0.6.2 default change and the opt-out
   (``prewarm_first_message=False`` / ``prewarmFirstMessage: false``),
   plus a "Pre-warming the first message" narrative section in the
   Python page explaining the latency vs un-answered-TTS trade-off.

3. **Inventory — appended ``Prewarm first message`` row to
   ``patter-assets/patter_sdk_features.xlsx``** (out-of-tree, not in
   this commit) so the daily docs-drift cron sees the feature as
   covered in both SDKs.

Skipped findings (with rationale):
- "Python prewarm default is unconditional vs TS provider-gated" — flagged
  HIGH by code-reviewer, classified PASS-WITH-NOTE by sdk-parity. The
  Python ``_spawn_prewarm_first_message`` WARN guard makes end-to-end
  behaviour identical, and moving the default off the dataclass would
  break users who instantiate ``Agent(...)`` directly. Documented
  divergence accepted.
- "TS ``sendMarkAwaitable()`` not awaited in prewarm loop" — Python
  ``await`` is needed because ``send_mark`` is async; TS ``ws.send`` is
  sync void. The returned ``Promise<void> | null`` is the ACK future
  consumed later by ``onMark`` / ``drainPendingMarks``, NOT a write
  await. Behaviourally equivalent.
- "Missing Py test for non-pipeline prewarm default" — coverage already
  exists at libraries/python/tests/test_prewarm.py:702 and :725
  (``test_prewarm_skipped_for_realtime_provider`` and
  ``..._for_convai_provider``).
- "recordTurnInterrupted not guarded against late recordTurnComplete"
  inverse race — MEDIUM latent trap but no current caller can trigger
  it (the existing ``interrupted`` flag in ``processTranscript`` guards
  the recordTurnComplete call site). Tracked for a future hardening
  pass.

Tests: Python 58/58 (test_metrics.py + test_prewarm.py), TypeScript
lint clean.
---
 docs/python-sdk/agents.mdx                     | 17 +++++++++++++++++
 docs/typescript-sdk/agents.mdx                 |  1 +
 libraries/python/getpatter/services/metrics.py |  7 +++++++
 3 files changed, 25 insertions(+)

diff --git a/docs/python-sdk/agents.mdx b/docs/python-sdk/agents.mdx
index 26df9d32..f276cb29 100644
--- a/docs/python-sdk/agents.mdx
+++ b/docs/python-sdk/agents.mdx
@@ -89,6 +89,7 @@ agent = phone.agent(
 | `barge_in_threshold_ms` | `int` | `300` | Sustained-voice window (ms) before treating caller audio as barge-in. Set to `0` to disable. |
 | `aggressive_first_flush` | `bool` | `False` | Opt-in low-latency mode: emits the first clause on a soft punctuation boundary (`,`, em-dash, en-dash) once the buffer reaches ~40 chars. Saves 200–500 ms TTFA on the first sentence at the cost of slightly clipped prosody. **Hard-disabled when `language` starts with `"it"`** (Italian decimal commas would split mid-number). Pipeline mode only. |
 | `disable_phone_preamble` | `bool` | `False` | When `False` (default), Patter prepends a phone-friendly preamble to `system_prompt` that instructs the LLM to avoid markdown, emojis, bullet lists, and code blocks; spell out numbers and dates; and keep replies short. Set to `True` to ship `system_prompt` verbatim. |
+| `prewarm_first_message` | `bool` | `True` since 0.6.2 | Pre-render `first_message` to TTS audio bytes during the ringing window and stream the cached buffer the instant the call connects, eliminating the 200–700 ms TTS first-byte latency on the greeting. Pipeline mode only — the flag is silently ignored (with a `WARN` log) on Realtime / ConvAI engines. Trade-off: pays for the greeting's TTS even when the call rings out unanswered (~$0.001–$0.005 per ring). Set `False` to restore the pre-0.6.2 behaviour. |
 
 ## Agent Dataclass
 
@@ -153,6 +154,22 @@ agent = phone.agent(
 )
 ```
 
+### Pre-warming the first message
+
+Since 0.6.2, pipeline-mode agents pre-render the `first_message` audio during the ringing window and stream the cached buffer the instant the call connects — eliminating the 200–700 ms TTS first-byte latency on the greeting.
+
+This is enabled by default (`prewarm_first_message=True`). The trade-off is paying for the greeting's TTS even when the call rings out unanswered (typically $0.001–$0.005 per ring depending on TTS provider). Opt out for very high-volume outbound where un-answered TTS spend matters:
+
+```python
+agent = phone.agent(
+    system_prompt="...",
+    first_message="Hello!",
+    prewarm_first_message=False,  # disable pre-rendering
+)
+```
+
+Realtime / ConvAI engines don't consume the pre-rendered cache (their first message goes through the engine's own audio path); the flag is silently ignored with a `WARN` log when set on a non-pipeline agent.
+
 ## Voice Selection
 
 Voice is usually inferred from the engine or TTS instance — e.g. `OpenAIRealtime(voice="nova")` or `ElevenLabsTTS(voice_id="rachel")`. Available voices depend on the provider.
diff --git a/docs/typescript-sdk/agents.mdx b/docs/typescript-sdk/agents.mdx
index bf13f68c..428b0af0 100644
--- a/docs/typescript-sdk/agents.mdx
+++ b/docs/typescript-sdk/agents.mdx
@@ -78,6 +78,7 @@ Available LLM providers: `OpenAILLM`, `AnthropicLLM`, `GroqLLM`, `CerebrasLLM`,
 | `bargeInThresholdMs` | `number` | No | `300` | Barge-in hang-over window (ms). Set to `0` to disable. |
 | `aggressiveFirstFlush` | `boolean` | No | `false` | Opt-in low-latency mode: emits the first clause on soft punctuation (`,`, em-dash) once the buffer reaches ≥40 chars. Saves 200–500 ms TTFA. Hard-disabled when `language="it"` (Italian punctuation patterns are incompatible). |
 | `disablePhonePreamble` | `boolean` | No | `false` | When `false` (default), Patter prepends a phone-friendly preamble to `systemPrompt` that instructs the LLM to avoid markdown, emojis, bullet lists, and code blocks; spell out numbers and dates; and keep replies short. Set to `true` to ship `systemPrompt` verbatim. |
+| `prewarmFirstMessage` | `boolean` | No | `true` since 0.6.2 (pipeline mode only) | Pre-render `firstMessage` to TTS audio bytes during the ringing window and stream the cached buffer the instant the call connects, eliminating the 200–700 ms TTS first-byte latency on the greeting. Realtime / ConvAI engines silently ignore the flag (with a `WARN` log) — only pipeline mode consumes the cache. Trade-off: pays for the greeting's TTS even when the call rings out unanswered (~$0.001–$0.005 per ring). Set `false` to restore the pre-0.6.2 behaviour. |
 | `provider` | `'openai_realtime' \| 'elevenlabs_convai' \| 'pipeline'` | No | derived | Provider mode. Normally derived from `engine` / `stt` + `tts`. Pass `'pipeline'` explicitly when building a pipeline-mode agent without an engine instance. |
 
 ## Validation Rules
diff --git a/libraries/python/getpatter/services/metrics.py b/libraries/python/getpatter/services/metrics.py
index 1c0a794e..230b91a8 100644
--- a/libraries/python/getpatter/services/metrics.py
+++ b/libraries/python/getpatter/services/metrics.py
@@ -750,6 +750,13 @@ def _reset_turn_state(self) -> None:
         self._tts_first_byte = None
         self._tts_last_byte = None
         self._endpoint_signal_at = None
+        # Parity with TS ``metrics.ts:_resetTurnState`` — without clearing
+        # ``_turn_committed_mono`` here, the ``anchor_user_speech_start``
+        # guard (``if self._turn_committed_mono is not None: return``)
+        # falsely no-ops on a VAD ``speech_start`` arriving between
+        # ``record_turn_complete`` and the next ``start_turn`` on
+        # back-to-back turns.
+        self._turn_committed_mono = None
         self._bargein_detected_at = None
         self._bargein_stopped_at = None
         self._turn_user_text = ""

From 9930bd6479dec568ef8d9eecc5c2fba620f42487 Mon Sep 17 00:00:00 2001
From: nicolotognoni <nicolo.tognoni1@gmail.com>
Date: Mon, 18 May 2026 18:22:08 +0200
Subject: [PATCH 06/11] fix: address HIGH parity + bidirectional race guard
 from quality gate
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Two follow-ups on the parallel quality-gate review the user requested
should NOT be skipped:

1. HIGH (code-reviewer): Python prewarm_first_message default flipped
   the dataclass to True unconditionally, while TypeScript only applied
   True at the Patter.agent() factory when provider==='pipeline'. End-
   to-end behaviour matched (Python WARN guard suppressed prewarm on
   non-pipeline modes), but users inspecting agent.prewarm_first_message
   programmatically saw the asymmetry — Realtime/ConvAI Python agents
   advertised True even though the cache was never consumed.

   Fix:
   - libraries/python/getpatter/models.py — dataclass default restored
     to False (back-compat for direct Agent(...) construction).
   - libraries/python/getpatter/client.py — Patter.agent() factory now
     accepts an explicit prewarm_first_message kwarg, and when omitted
     applies True iff provider == 'pipeline'. Exact mirror of the
     TypeScript factory in client.ts.
   - libraries/python/tests/test_prewarm.py — three new tests pin the
     factory-level behaviour (pipeline → True, realtime → False,
     explicit kwarg always wins). The existing
     test_default_prewarm_flag_is_true was updated to assert the new
     dataclass default (False).

2. MEDIUM (code-reviewer): the race guard added in commit 7bc143a was
   one-directional — late recordTurnComplete after
   recordTurnInterrupted was correctly dropped, but the inverse ordering
   (late interrupt after a completed turn) could still overwrite an
   emitted turn. No current caller path produces that ordering, but a
   future refactor reordering bargein vs LLM-unwind could.

   Fix: both recordTurnComplete (libraries/python/getpatter/services/
   metrics.py + libraries/typescript/src/metrics.ts) and
   recordTurnInterrupted now read AND write _turn_already_closed /
   _turnAlreadyClosed — bidirectional symmetry. Regression tests added
   in libraries/python/tests/test_metrics.py and libraries/typescript/
   tests/metrics.test.ts.

CHANGELOG entry on the prewarm default flip consolidated into a single
'Changed' section reflecting the final factory-level wiring.

Tests: Python 62/62 (test_metrics.py + test_prewarm.py), TypeScript
37/37 (metrics.test.ts + prewarm.test.ts), lint clean.
---
 CHANGELOG.md                                  | 64 ++++++++++-------
 libraries/python/getpatter/client.py          | 13 ++++
 libraries/python/getpatter/models.py          | 28 +++++---
 .../python/getpatter/services/metrics.py      | 16 ++++-
 libraries/python/tests/test_metrics.py        | 29 ++++++++
 libraries/python/tests/test_prewarm.py        | 69 +++++++++++++++++--
 libraries/typescript/src/metrics.ts           | 18 ++++-
 libraries/typescript/tests/metrics.test.ts    | 32 +++++++++
 8 files changed, 228 insertions(+), 41 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 028b2c31..ab0a9130 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,6 +2,47 @@
 
 ### Fixed
 
+- **Bidirectional race guard on `recordTurnComplete` / `recordTurnInterrupted`.**
+  The original guard (added earlier in this release) was one-directional:
+  a late `recordTurnComplete` after `recordTurnInterrupted` was dropped,
+  but the inverse ordering (a late interrupt after a completed turn)
+  could still overwrite a just-emitted turn record. The current caller
+  paths can't produce that ordering, but the symmetric guard hardens
+  the accumulator against future refactors. Both `recordTurnComplete`
+  and `recordTurnInterrupted` now set `_turnAlreadyClosed`/`
+  _turn_already_closed` and check it on entry. Same fix in
+  `libraries/python/getpatter/services/metrics.py` and
+  `libraries/typescript/src/metrics.ts`; regression tests added in both
+  suites.
+
+### Changed
+
+- **Pipeline `prewarmFirstMessage` / `prewarm_first_message` now defaults
+  to `true` in pipeline mode** via the `phone.agent()` / `Patter.agent()`
+  factory in both SDKs. Every pipeline acceptance run had a 1.5-2.5 s
+  `p95` on the first turn because the TTS first-byte latency (200-700 ms
+  cold) was serialised with the carrier's `media-start` event.
+  Pre-rendering the greeting during the ringing window and streaming
+  the cached buffer at pickup collapses that to a single buffer copy —
+  first-turn `p95` drops back into the same band as subsequent turns.
+
+  Trade-off: paying the TTS bill on calls that ring and never answer
+  (~$0.001-$0.005 each depending on TTS provider). Opt out by passing
+  `prewarmFirstMessage: false` (TS) / `prewarm_first_message=False`
+  (Py) to `phone.agent({...})` — useful for very high-volume outbound
+  where un-answered TTS spend matters.
+
+  Default applied at the factory level for parity between SDKs:
+  `libraries/python/getpatter/client.py:Patter.agent()` and
+  `libraries/typescript/src/client.ts:Patter.agent()`. The Python
+  `Agent` dataclass field default stays `False` to preserve
+  backwards-compatible behaviour for direct `Agent(...)` construction
+  (advanced usage outside the recommended factory path). Realtime /
+  ConvAI provider modes are unaffected in either SDK — those handlers
+  never consume the prewarm cache.
+
+### Fixed
+
 - **First-message prewarm playback was slow + gravelly + intermittent on
   Twilio.** `sendPacedFirstMessageBytes` (TS) /
   `_send_paced_first_message_bytes` (Py) paced each prewarm chunk with a
@@ -27,29 +68,6 @@
   but downstream pacing was broken). Files: `libraries/typescript/src/
   stream-handler.ts`, `libraries/python/getpatter/stream_handler.py`.
 
-### Changed
-
-- **Pipeline `prewarmFirstMessage` / `prewarm_first_message` now defaults
-  to `true`.** Every pipeline acceptance run had a 1.5-2.5 s `p95` on the
-  first turn because the TTS first-byte latency (200-700 ms cold) was
-  serialised with the carrier's `media-start` event. Pre-rendering the
-  greeting during the ringing window and streaming the cached buffer at
-  pickup collapses that to a single `Buffer.copy` / `bytes` write —
-  first-turn `p95` on the regenerated matrix scripts drops back into the
-  same band as subsequent turns.
-
-  The trade-off is paying the TTS bill on calls that ring and never
-  answer (~$0.001-$0.005 each depending on TTS provider). Restore the
-  prior behaviour by passing `prewarmFirstMessage: false` (TS) /
-  `prewarm_first_message=False` (Py) on `phone.agent({...})` — useful
-  for very high-volume outbound where un-answered TTS spend matters.
-
-  Default applied at: `libraries/python/getpatter/models.py:Agent`
-  (dataclass field default) and
-  `libraries/typescript/src/client.ts:Patter.agent()` (factory default
-  for `provider === 'pipeline'`). Realtime / ConvAI provider modes are
-  not affected — those handlers never consume the prewarm cache.
-
 ### Fixed
 
 - **Pipeline metrics: `transcript.jsonl` rows after a barge-in carried an
diff --git a/libraries/python/getpatter/client.py b/libraries/python/getpatter/client.py
index 32b942f1..fff1d8e0 100644
--- a/libraries/python/getpatter/client.py
+++ b/libraries/python/getpatter/client.py
@@ -1122,6 +1122,7 @@ def agent(
         engine: Any = None,
         llm: LLMProvider | None = None,
         mcp_servers: list | None = None,
+        prewarm_first_message: bool | None = None,
     ) -> Agent:
         """Create an ``Agent`` configuration.
 
@@ -1262,6 +1263,17 @@ def agent(
                 self._guardrail_to_dict(g, index=i) for i, g in enumerate(guardrails)
             ]
 
+        # Default ``prewarm_first_message`` to True in pipeline mode (since
+        # 0.6.2). Greeting TTS pre-rendering during the ringing window
+        # collapses the 200-700 ms first-byte latency that dominated the
+        # first-turn p95 on every pipeline call. Realtime / ConvAI modes
+        # never consume the prewarm cache (the engine drives the first-
+        # message audio path itself), so the default stays False there to
+        # avoid silent TTS spend on un-answered rings. Parity with TS
+        # ``Patter.agent()`` factory (see ``client.ts``).
+        if prewarm_first_message is None:
+            prewarm_first_message = provider == "pipeline"
+
         return Agent(
             system_prompt=system_prompt,
             voice=voice,
@@ -1285,6 +1297,7 @@ def agent(
             echo_cancellation=echo_cancellation,
             llm=llm,
             mcp_servers=mcp_servers,
+            prewarm_first_message=prewarm_first_message,
             openai_realtime_reasoning_effort=openai_realtime_reasoning_effort,
             openai_realtime_input_audio_transcription_model=openai_realtime_input_audio_transcription_model,
         )
diff --git a/libraries/python/getpatter/models.py b/libraries/python/getpatter/models.py
index 9a546a73..8fead1d0 100644
--- a/libraries/python/getpatter/models.py
+++ b/libraries/python/getpatter/models.py
@@ -214,23 +214,29 @@ class Agent:
     # call. See ``docs/python-sdk/latency.mdx`` for the cold-start latency
     # rationale.
     prewarm: bool = True
-    # When ``True`` (default since 0.6.2), ``Patter.call`` pre-renders
-    # ``first_message`` to TTS audio bytes during the ringing window and
-    # streams the cached buffer immediately when the carrier emits ``start``.
-    # Eliminates the 200-700 ms TTS first-byte latency on the greeting that
-    # dominated the first-turn ``p95`` on every pipeline acceptance run.
-    # The trade-off is paying the TTS bill even if the call is never
-    # answered (silently logged at WARN level when the call fails) —
-    # typically $0.001-$0.005 per ringing call depending on TTS provider.
-    # Opt out by passing ``prewarm_first_message=False`` (e.g. for very
-    # high-volume outbound where un-answered TTS spend matters).
+    # When ``True``, ``Patter.call`` pre-renders ``first_message`` to TTS
+    # audio bytes during the ringing window and streams the cached buffer
+    # immediately when the carrier emits ``start``. Eliminates the
+    # 200-700 ms TTS first-byte latency on the greeting that dominates
+    # the first-turn ``p95`` on pipeline calls.
+    #
+    # Dataclass default stays ``False`` to preserve backwards-compatible
+    # behaviour for callers who construct ``Agent(...)`` directly without
+    # going through :meth:`Patter.agent`. The recommended factory
+    # :meth:`Patter.agent` flips the default to ``True`` automatically
+    # when ``provider == "pipeline"`` (since 0.6.2) — parity with the
+    # TypeScript ``phone.agent({...})`` factory. Opt out from the factory
+    # by passing ``prewarm_first_message=False`` (e.g. for very
+    # high-volume outbound where un-answered TTS spend matters); cost
+    # trade-off is typically $0.001-$0.005 per ringing call depending on
+    # TTS provider.
     #
     # **Pipeline mode only.** Realtime / ConvAI provider modes never
     # consume the prewarm cache (the StreamHandler for those modes runs
     # its first-message emit through the provider's own audio path), so
     # ``Patter.call`` refuses to spawn the prewarm task and emits a WARN
     # when ``provider != "pipeline"``.
-    prewarm_first_message: bool = True
+    prewarm_first_message: bool = False
 
 
 @dataclass(frozen=True)
diff --git a/libraries/python/getpatter/services/metrics.py b/libraries/python/getpatter/services/metrics.py
index 230b91a8..4316f0e8 100644
--- a/libraries/python/getpatter/services/metrics.py
+++ b/libraries/python/getpatter/services/metrics.py
@@ -443,16 +443,30 @@ def record_turn_complete(self, agent_text: str) -> TurnMetrics | None:
                 {"call_id": self.call_id, "turn": turn},
             )
         self._reset_turn_state()
+        # Bidirectional guard: mark the turn as closed so a late
+        # record_turn_interrupted (e.g. from a future refactor that
+        # reorders the bargein + LLM-unwind paths) becomes a no-op
+        # instead of overwriting the just-emitted turn record. Mirrors
+        # the inverse guard in ``record_turn_interrupted`` and keeps
+        # the two close paths symmetric.
+        self._turn_already_closed = True
         return turn
 
     def record_turn_interrupted(self) -> TurnMetrics | None:
         """Handle a barge-in / interrupted turn.
 
         Returns partial ``TurnMetrics`` if a turn was in progress, else
-        ``None``.
+        ``None``. Also returns ``None`` when ``record_turn_complete`` has
+        already finalised the current turn — bidirectional parity with
+        the guard in :meth:`record_turn_complete`. Prevents an out-of-
+        order interruption (e.g. a future refactor that reorders the
+        bargein + LLM-unwind paths) from overwriting a turn that the
+        complete path already emitted.
         """
         if self._turn_start is None:
             return None
+        if self._turn_already_closed:
+            return None
 
         latency = self._compute_turn_latency()
         turn = TurnMetrics(
diff --git a/libraries/python/tests/test_metrics.py b/libraries/python/tests/test_metrics.py
index a2f33a7d..1ebe33db 100644
--- a/libraries/python/tests/test_metrics.py
+++ b/libraries/python/tests/test_metrics.py
@@ -120,6 +120,35 @@ def test_record_turn_complete_is_noop_after_interrupted(self):
         assert result.turns[0].agent_text == "[interrupted]"
         assert result.turns[0].user_text == "Hello"
 
+    def test_record_turn_interrupted_is_noop_after_complete(self):
+        """Bidirectional parity: a late ``record_turn_interrupted`` after
+        ``record_turn_complete`` on the same turn must also be a no-op.
+
+        The current caller ordering can't trigger this (the VAD bargein
+        path fires the interrupt FIRST and the LLM-unwind path then
+        calls complete second, guarded by the existing one-directional
+        guard). The symmetric guard hardens the accumulator against a
+        future refactor that reorders those paths.
+        """
+        acc = self._make_accumulator()
+
+        acc.start_turn()
+        acc.record_stt_complete("Hello", audio_seconds=1.0)
+        completed = acc.record_turn_complete("Hi there")
+        assert completed is not None
+        assert completed.user_text == "Hello"
+        assert completed.agent_text == "Hi there"
+
+        # Late VAD-bargein interruption arrives after the complete —
+        # must be silently dropped.
+        late = acc.record_turn_interrupted()
+        assert late is None
+
+        # Only the completed turn is recorded.
+        result = acc.end_call()
+        assert len(result.turns) == 1
+        assert result.turns[0].agent_text == "Hi there"
+
     def test_record_turn_complete_rearms_after_start_turn(self):
         """A fresh ``start_turn`` must re-arm the accumulator so the next
         ``record_turn_complete`` is allowed again."""
diff --git a/libraries/python/tests/test_prewarm.py b/libraries/python/tests/test_prewarm.py
index 0f9bbf98..4d016bf5 100644
--- a/libraries/python/tests/test_prewarm.py
+++ b/libraries/python/tests/test_prewarm.py
@@ -122,13 +122,16 @@ async def _wait_for_tasks(phone: Patter, timeout: float = 1.0) -> None:
 
 
 async def test_default_prewarm_flag_is_true() -> None:
-    """``Agent.prewarm`` and ``Agent.prewarm_first_message`` both default to
-    True since 0.6.2 — first-turn p95 on pipeline mode was dominated by
-    the 200-700 ms TTS first-byte latency on the greeting, eliminated by
-    pre-rendering during the ringing window."""
+    """``Agent.prewarm`` defaults to True; ``prewarm_first_message``
+    defaults to False at the dataclass level to preserve backwards-
+    compatible behaviour for direct ``Agent(...)`` construction. The
+    recommended :meth:`Patter.agent` factory flips it to True for
+    pipeline mode — see ``test_factory_defaults_prewarm_first_message_*``
+    below.
+    """
     agent = Agent(system_prompt="hi", first_message="hello")
     assert agent.prewarm is True
-    assert agent.prewarm_first_message is True
+    assert agent.prewarm_first_message is False
 
 
 async def test_prewarm_first_message_opt_out() -> None:
@@ -143,6 +146,62 @@ async def test_prewarm_first_message_opt_out() -> None:
     assert agent.prewarm_first_message is False
 
 
+async def test_factory_defaults_prewarm_first_message_true_in_pipeline_mode() -> None:
+    """``Patter.agent(...)`` factory auto-enables prewarm in pipeline
+    mode (since 0.6.2). Parity with the TypeScript factory in
+    ``client.ts``."""
+    phone = _make_patter()
+    stt = StubSTT()
+    tts = StubTTS()
+    llm = StubLLM()
+    agent = phone.agent(system_prompt="hi", stt=stt, tts=tts, llm=llm)
+    assert agent.provider == "pipeline"
+    assert agent.prewarm_first_message is True
+
+
+async def test_factory_does_not_default_prewarm_in_realtime_mode() -> None:
+    """``Patter.agent(...)`` factory leaves prewarm OFF on realtime /
+    ConvAI provider modes — those handlers never consume the cache, so
+    enabling it would only burn TTS spend on un-answered rings."""
+    from getpatter.engines.openai import Realtime as OpenAIRealtime
+
+    phone = _make_patter()
+    agent = phone.agent(
+        system_prompt="hi",
+        engine=OpenAIRealtime(api_key="sk-test"),
+    )
+    assert agent.provider == "openai_realtime"
+    assert agent.prewarm_first_message is False
+
+
+async def test_factory_respects_explicit_prewarm_first_message_value() -> None:
+    """Explicit kwarg always wins over the factory's mode-derived default."""
+    from getpatter.engines.openai import Realtime as OpenAIRealtime
+
+    phone = _make_patter()
+    stt = StubSTT()
+    tts = StubTTS()
+    llm = StubLLM()
+    # Pipeline mode, but caller explicitly opts out.
+    pipeline_opted_out = phone.agent(
+        system_prompt="hi",
+        stt=stt,
+        tts=tts,
+        llm=llm,
+        prewarm_first_message=False,
+    )
+    assert pipeline_opted_out.prewarm_first_message is False
+    # Realtime mode, but caller explicitly opts in (the WARN guard in
+    # ``_spawn_prewarm_first_message`` will still suppress the synth,
+    # but the flag stays at the user's chosen value).
+    realtime_opted_in = phone.agent(
+        system_prompt="hi",
+        engine=OpenAIRealtime(api_key="sk-test"),
+        prewarm_first_message=True,
+    )
+    assert realtime_opted_in.prewarm_first_message is True
+
+
 async def test_provider_warmup_default_is_noop() -> None:
     """The bare ``STTProvider`` / ``TTSProvider`` subclasses inherit a no-op
     ``warmup`` so providers that don't override it never raise."""
diff --git a/libraries/typescript/src/metrics.ts b/libraries/typescript/src/metrics.ts
index c1d205a5..0abac23f 100644
--- a/libraries/typescript/src/metrics.ts
+++ b/libraries/typescript/src/metrics.ts
@@ -609,14 +609,30 @@ export class CallMetricsAccumulator {
     };
     this._turns.push(turn);
     this._resetTurnState();
+    // Bidirectional guard: mark the turn as closed so a late
+    // recordTurnInterrupted (e.g. from a future refactor that reorders
+    // the bargein + LLM-unwind paths) becomes a no-op instead of
+    // overwriting the just-emitted turn record. Mirrors the inverse
+    // guard in recordTurnInterrupted and keeps the two close paths
+    // symmetric.
+    this._turnAlreadyClosed = true;
     this._eventBus?.emit('turn_ended', { callId: this.callId, turn });
     this._eventBus?.emit('metrics_collected', { callId: this.callId, turn });
     return turn;
   }
 
-  /** Close the current turn as interrupted (barge-in) and return the recorded metrics. */
+  /**
+   * Close the current turn as interrupted (barge-in) and return the
+   * recorded metrics. Returns ``null`` when no turn is open, OR when
+   * ``recordTurnComplete`` has already finalised the current turn —
+   * bidirectional parity with the guard at the top of
+   * ``recordTurnComplete``. Prevents an out-of-order interruption (e.g.
+   * a future refactor that reorders the bargein + LLM-unwind paths)
+   * from overwriting a turn that the complete path already emitted.
+   */
   recordTurnInterrupted(): TurnMetrics | null {
     if (this._turnStart === null) return null;
+    if (this._turnAlreadyClosed) return null;
     const latency = this._computeTurnLatency();
     const turn: TurnMetrics = {
       turn_index: this._turns.length,
diff --git a/libraries/typescript/tests/metrics.test.ts b/libraries/typescript/tests/metrics.test.ts
index 82d2ebdd..b6c47f83 100644
--- a/libraries/typescript/tests/metrics.test.ts
+++ b/libraries/typescript/tests/metrics.test.ts
@@ -91,6 +91,38 @@ describe('CallMetricsAccumulator', () => {
     expect(result.turns[0].user_text).toBe('Hello');
   });
 
+  it('recordTurnInterrupted is a no-op after recordTurnComplete on the same turn', () => {
+    // Bidirectional parity: a late recordTurnInterrupted after
+    // recordTurnComplete on the same turn must also be a no-op. The
+    // current caller ordering can't trigger this (the VAD bargein path
+    // fires the interrupt FIRST and the LLM-unwind path then calls
+    // complete second, guarded by the existing one-directional guard).
+    // The symmetric guard hardens the accumulator against a future
+    // refactor that reorders those paths.
+    const acc = new CallMetricsAccumulator({
+      callId: 'race-bi',
+      providerMode: 'pipeline',
+      telephonyProvider: 'twilio',
+    });
+
+    acc.startTurn();
+    acc.recordSttComplete('Hello');
+    const completed = acc.recordTurnComplete('Hi there');
+    expect(completed).not.toBeNull();
+    expect(completed!.user_text).toBe('Hello');
+    expect(completed!.agent_text).toBe('Hi there');
+
+    // Late VAD-bargein interruption arrives after the complete —
+    // must be silently dropped.
+    const late = acc.recordTurnInterrupted();
+    expect(late).toBeNull();
+
+    // Only the completed turn is recorded.
+    const result = acc.endCall();
+    expect(result.turns).toHaveLength(1);
+    expect(result.turns[0].agent_text).toBe('Hi there');
+  });
+
   it('startTurn re-arms the accumulator after an interrupted turn', () => {
     const acc = new CallMetricsAccumulator({
       callId: 'race2',

From 0fc461544127a0759721859dc32eb9844276ba24 Mon Sep 17 00:00:00 2001
From: nicolotognoni <nicolo.tognoni1@gmail.com>
Date: Fri, 22 May 2026 14:45:25 +0200
Subject: [PATCH 07/11] fix(0.6.2): 14-bug fix wave + GA Realtime adapter +
 dashboard hardening
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Bundled fix wave landed after live PSTN validation across outbound and
inbound flows on the OpenAI Realtime GA path (gpt-realtime-2). Every
behaviour change is mirrored in both SDKs and verified via sdk-parity.

OpenAI Realtime GA (gpt-realtime-2)
- New ``OpenAIRealtime2`` engine + ``OpenAIRealtime2Adapter`` (Python).
  Speaks the GA ``session.update`` shape (``session.type = "realtime"``,
  ``output_modalities``, nested ``audio.{input,output}``) and bidirectionally
  transcodes mulaw 8 kHz ↔ PCM 24 kHz because the GA audio engine silently
  drops mulaw even though the protocol accepts ``audio/pcmu``.
- ``turn_detection.threshold`` raised 0.1 → 0.5 to stop the runaway loop
  where carrier-loopback echo of the agent's own audio kept tripping the
  server VAD and auto-creating new responses.
- ``turn_detection.create_response: false`` + ``interrupt_response: false``.
  Patter now drives ``response.create`` explicitly via ``request_response()``
  after the hallucination filter accepts the user transcript, so a
  Whisper-on-silence hallucination ("Thank you for watching.", "[music]")
  no longer materialises as a phantom assistant turn.
- ``_STT_HALLUCINATIONS`` extended with the 15 most common Whisper
  YouTube-caption fallback phrases; the filter is now applied to the
  Realtime ``transcript_input`` event before LLM commit.

Prewarm + adoption
- Liveness check rewritten to handle current ``websockets`` lib (``state``
  enum + ``close_code`` checks; legacy ``closed`` fallback). The previous
  ``getattr(ws, "closed", True)`` defaulted to "dead" on the new client and
  silently aborted every adoption.
- Application-level keepalive on the parked GA Realtime WS (``session.update``
  every 3 s + WS PING every 4 s) — empirically OpenAI's GA edge closes idle
  sockets within ~6-7 s, so a single PING was never reaching the wire before
  pickup on cellular ringing windows.
- ``adopt_websocket`` cancels the parked keepalive task before the live
  adapter starts so the heartbeat doesn't race ``input_audio_buffer.append``.

Barge-in
- Realtime ``speech_started`` now consults ``_current_response_first_audio_at``
  on the adapter (proxy for "agent is mid-turn") and applies the same
  anti-flicker gate the pipeline mode uses. Without this the firstMessage
  was repeatedly truncated by the loopback echo VAD.
- ``cancel_response`` is now a no-op when no item is in flight — eliminates
  the ``response_cancel_not_active`` ERROR spam every phantom VAD trigger
  emitted.

Dashboard + persistence
- Persistence default flipped from opt-in to ON. ``persist=None`` now
  resolves to the platform user-data dir (``~/Library/Application
  Support/patter`` on macOS / XDG data dir on Linux / ``%LOCALAPPDATA%``
  on Windows). Set ``persist=False`` to opt out.
- ``log_call_start`` / ``logCallStart`` now persists ``direction`` in
  ``metadata.json``. Hydrated outbound calls were rendering as inbound
  (default fallback) and ``pickPhoneNumber`` ended up returning the callee
  (caller's personal number) instead of the Patter number in the topbar.
- ``PATTER_LOG_REDACT_PHONE`` default flipped ``mask`` → ``full``. The UI
  reveal toggle has no source data when the on-disk record is already
  masked, so storing raw is required for the toggle to actually do
  something. ``~/Library/Application Support/patter`` is user-private.
- ``record_call_end`` / ``recordCallEnd`` now preserves the live ``turns``
  array and falls back to active/existing transcript when the SDK's
  end-of-call snapshot is empty. Mirrors TS fix that was never ported.
- Python ``hydrate()`` now backfills the flat ``transcript`` from the
  sibling ``transcript.jsonl`` when ``metadata.json`` has no transcript
  array (the JSONL is the authoritative per-turn record). Parity with TS
  ``loadTranscriptJsonl``.
- New ``aggregates.sdk_version`` field surfaces the runtime package
  version (Python ``getpatter.__version__`` / TS ``package.json`` read at
  runtime via the dist-relative path). Dashboard SPA reads it from the
  aggregates payload instead of an inline constant.
- Standalone dashboard (``patter dashboard``) now sees outbound dials in
  real time: ``client`` fires ``notify_dashboard`` with ``status="initiated"``
  alongside ``record_call_initiated``, and the standalone ``cli`` ingest
  handler routes that status to ``record_call_initiated`` instead of
  treating every payload as ``record_call_start``.

Inbound carrier metadata
- Twilio Media Streams strips the query string from ``<Stream url=...>``
  before opening the WS, so the inbound bridge has been reading empty
  caller / callee since forever. ``generate_stream_twiml`` now accepts
  optional ``parameters`` and emits ``<Parameter name=... value=.../>``
  children of ``<Stream>``; ``twilio_stream_bridge`` falls back to
  ``start.customParameters`` when WS query params are empty.

Test scripts
- Acceptance scripts under ``releases/0.6.1/python`` (in the personal
  acceptance repo, not in this repo) drove the live validation. ``inbound.py``
  and ``outbound_amd_ringtimeout.py`` updated locally to surface ``INFO``
  logging for the new prewarm / hallucination diagnostics.
---
 CHANGELOG.md                                  | 254 ++++--
 README.md                                     |   4 +-
 dashboard-app/src/App.tsx                     |  16 +-
 dashboard-app/src/lib/api.ts                  |   8 +
 docs/dev-tools/tunneling.mdx                  |  10 +-
 docs/python-sdk/agents.mdx                    |  16 +-
 docs/python-sdk/carrier.mdx                   |  10 +
 docs/python-sdk/engines.mdx                   |   1 +
 docs/python-sdk/local-mode.mdx                |  39 +-
 docs/python-sdk/providers/elevenlabs-tts.mdx  |  12 +
 docs/python-sdk/providers/silero-vad.mdx      |  16 +-
 docs/python-sdk/quickstart.mdx                |  30 +
 docs/typescript-sdk/agents.mdx                |   6 +-
 .../providers/elevenlabs-tts.mdx              |  12 +
 docs/typescript-sdk/providers/silero-vad.mdx  |  16 +-
 libraries/python/getpatter/__init__.py        |   4 +
 libraries/python/getpatter/cli.py             |  17 +-
 libraries/python/getpatter/client.py          | 311 +++++--
 libraries/python/getpatter/dashboard/store.py | 123 ++-
 libraries/python/getpatter/dashboard/ui.html  |  16 +-
 .../python/getpatter/engines/__init__.py      |   2 +-
 libraries/python/getpatter/engines/openai.py  |   2 +-
 .../getpatter/engines/openai_realtime_2.py    |  64 ++
 .../getpatter/providers/elevenlabs_tts.py     |  49 +-
 .../getpatter/providers/elevenlabs_ws_tts.py  |  56 ++
 .../getpatter/providers/openai_realtime.py    |  82 +-
 .../getpatter/providers/openai_realtime_2.py  | 775 ++++++++++++++++++
 .../python/getpatter/providers/silero_vad.py  |  14 +
 .../getpatter/providers/twilio_adapter.py     |  48 +-
 libraries/python/getpatter/server.py          |   5 +
 .../python/getpatter/services/call_log.py     |  14 +-
 libraries/python/getpatter/stream_handler.py  | 360 +++++++-
 .../python/getpatter/telephony/telnyx.py      |   6 +-
 .../python/getpatter/telephony/twilio.py      |  25 +-
 libraries/python/getpatter/tts/elevenlabs.py  |  14 +-
 libraries/python/tests/test_new_features.py   | 124 ++-
 libraries/python/tests/test_prewarm.py        |  10 +-
 .../python/tests/unit/test_client_unit.py     | 131 +++
 .../tests/unit/test_stream_handler_unit.py    |  25 +-
 .../test_twilio_adapter_snake_case_kwargs.py  | 321 ++++++++
 .../test_twilio_status_and_ring_timeout.py    |  56 +-
 libraries/typescript/src/cli.ts               |  14 +-
 libraries/typescript/src/client.ts            | 171 +++-
 libraries/typescript/src/dashboard/store.ts   |   8 +
 libraries/typescript/src/dashboard/ui.html    |  16 +-
 .../src/providers/elevenlabs-tts.ts           |  48 +-
 .../src/providers/elevenlabs-ws-tts.ts        |  53 ++
 .../src/providers/openai-realtime-2.ts        | 208 ++++-
 .../src/providers/openai-realtime.ts          |  56 +-
 .../typescript/src/providers/silero-vad.ts    |  13 +
 .../src/providers/twilio-adapter.ts           |  40 +-
 libraries/typescript/src/server.ts            |   5 +
 libraries/typescript/src/services/call-log.ts |  13 +-
 libraries/typescript/src/stream-handler.ts    | 414 +++++++---
 libraries/typescript/src/tts/elevenlabs-ws.ts |   8 +-
 libraries/typescript/src/tts/elevenlabs.ts    |  14 +-
 libraries/typescript/src/version.ts           |  26 +-
 57 files changed, 3630 insertions(+), 581 deletions(-)
 create mode 100644 libraries/python/getpatter/engines/openai_realtime_2.py
 create mode 100644 libraries/python/getpatter/providers/openai_realtime_2.py
 create mode 100644 libraries/python/tests/unit/test_twilio_adapter_snake_case_kwargs.py

diff --git a/CHANGELOG.md b/CHANGELOG.md
index ab0a9130..f27e633b 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,7 +1,208 @@
 ## Unreleased
 
+### Added
+
+- **`OpenAIRealtime2` / `OpenAIRealtime2Adapter` — Python GA Realtime API
+  adapter (parity with TypeScript `OpenAIRealtime2` / `OpenAIRealtime2Adapter`
+  in `libraries/typescript/src/engines/openai-2.ts` /
+  `libraries/typescript/src/providers/openai-realtime-2.ts`).** The GA
+  endpoint rejects the legacy `OpenAI-Beta: realtime=v1` header and speaks a
+  different `session.update` wire shape (`output_modalities`, nested
+  `audio.{input,output}` with MIME type strings, `session.type = "realtime"`).
+  `OpenAIRealtime2Adapter` (in
+  `libraries/python/getpatter/providers/openai_realtime_2.py`) subclasses
+  `OpenAIRealtimeAdapter` and overrides `connect()`, `send_audio()`,
+  `receive_events()`, and `send_first_message()` to speak the GA wire shape
+  and perform bidirectional transcoding (mulaw 8 kHz ↔ PCM 24 kHz) required
+  because the GA audio engine silently drops mulaw frames. `OpenAIRealtime2`
+  engine marker (in `libraries/python/getpatter/engines/openai_realtime_2.py`)
+  defaults to `gpt-realtime-2`. Both are exported from the top-level package:
+  `from getpatter import OpenAIRealtime2, OpenAIRealtime2Adapter`. Wire up via
+  `phone.agent(engine=OpenAIRealtime2(reasoning_effort="low"), ...)`.
+
+### Changed
+
+- **`OpenAIRealtime` default model changed from `gpt-4o-mini-realtime-preview`
+  to `gpt-realtime-mini`** in
+  `libraries/python/getpatter/engines/openai.py` and the `agent()` sentinel
+  in `libraries/python/getpatter/client.py`. The beta
+  `gpt-4o-mini-realtime-preview` model is deprecated on the GA endpoint as of
+  2026-05. `gpt-realtime-mini` is the equivalent GA model. Existing callers
+  that do not pin a model are automatically upgraded; callers that explicitly
+  pass `model="gpt-4o-mini-realtime-preview"` should migrate to
+  `model="gpt-realtime-mini"` or switch to `OpenAIRealtime2`.
+
+- **`phone.ready` and `phone.tunnel_ready` — serve-ready awaitables for
+  outbound call orchestration (Python parity with TypeScript).** Both
+  SDKs have always exposed these futures on the `Patter` class, but the
+  Python docs showed the `asyncio.sleep(2)` anti-pattern instead of the
+  correct `await phone.ready` pattern. Updated `docs/python-sdk/local-mode.mdx`
+  to replace the `asyncio.sleep` example with `await phone.ready`, document
+  the reject-on-failure guarantee, and add a note on `await phone.tunnel_ready`
+  for hostname-only use cases. Added 15 unit tests covering lazy creation,
+  idempotent access, resolution, rejection, idempotent resolve/reject guards,
+  static-webhook pre-resolution, and post-`disconnect()` future recreation —
+  mirroring the TS `client.test.ts` ready/tunnelReady coverage.
+
 ### Fixed
 
+- **TypeScript `TwilioAdapter.generateStreamTwiml` now accepts an optional
+  `parameters` argument (parity with Python `generate_stream_twiml`).** The
+  static method previously ignored caller/callee context — passing
+  `parameters: Record<string, string>` now emits
+  `<Parameter name="..." value="..."/>` children of `<Stream>`, which is the
+  only reliable path for pre-populating `start.customParameters` on the WS
+  `start` frame (Twilio strips query-string params from the `<Stream url=...>`
+  before the WebSocket handshake). The inbound webhook path in `server.ts`
+  already inlined this TwiML directly; `generateStreamTwiml` is now brought
+  into full API-surface parity so callers who construct TwiML via the adapter
+  get the same behaviour. File: `libraries/typescript/src/providers/twilio-adapter.ts`.
+
+- **Python outbound Twilio calls crashed with `TypeError: unexpected
+  keyword argument 'StatusCallback'` (and similar for `Timeout`,
+  `MachineDetection`, `AsyncAmd`).** `libraries/python/getpatter/client.py`
+  was building the `extra_params` dict with PascalCase keys matching
+  Twilio's REST wire protocol, but `twilio-python`'s
+  `Client.calls.create(**kwargs)` only accepts snake_case — it
+  translates internally to PascalCase before hitting the wire. Every
+  outbound call using machine detection, `ring_timeout`, or status
+  callbacks crashed at the SDK boundary (reported externally on
+  zenn.dev for SDK 0.5.4). Fixed at source: all keys in `extra_params`
+  are now snake_case (`status_callback`, `machine_detection`,
+  `timeout`, `async_amd`, `async_amd_status_callback`,
+  `status_callback_method`). Added a defensive PascalCase →
+  snake_case normalisation pass in
+  `libraries/python/getpatter/providers/twilio_adapter.py` so any
+  future caller passing the wire-protocol spelling is auto-corrected
+  before reaching the SDK. TypeScript SDK is unaffected — it sends raw
+  `URLSearchParams` directly to Twilio's REST endpoint where
+  PascalCase is the correct on-wire form. Regression locked in by
+  `libraries/python/tests/unit/test_twilio_adapter_snake_case_kwargs.py`.
+
+- **Phantom barge-in: cellular noise within 100 ms post-pickup was
+  triggering self-cancellation of the prewarmed greeting.** Bumped
+  `MIN_AGENT_SPEAKING_MS_BEFORE_BARGE_IN_NO_AEC` from 100 ms → 500 ms
+  in `libraries/typescript/src/stream-handler.ts` and
+  `libraries/python/getpatter/stream_handler.py`. The 100 ms window was
+  too tight — Twilio's media stream can emit background carrier noise
+  (clicks, handshake tones, audio codec initialization) within the first
+  100 ms after pickup, which the VAD read as speech-like energy and
+  triggered a barge-in cancel. Extending to 500 ms allows the carrier
+  audio path to stabilise before the agent's greeting becomes cancelable.
+
+- **VAD telephony preset too sensitive: background room voices tripping
+  barge-in.** `SileroVAD.forPhoneCall()` factory (TS) /
+  `SileroVAD.for_phone_call` (Py) now raises activation threshold 0.5 →
+  0.8 and deactivation threshold 0.35 → 0.65. The Silero model's
+  upstream defaults (0.5 / 0.35) are tuned for studio audio; when
+  running on 8 kHz telephony-band upsampled to 16 kHz, non-speech room
+  noise (HVAC, background chatter, line buzz) was accumulating energy
+  above the 0.5 threshold. Real-call acceptance testing showed natural
+  pauses in the user's speech no longer trigger false barge-ins at the
+  higher thresholds. Files: `libraries/typescript/src/providers/
+  silero-vad.ts`, `libraries/python/getpatter/providers/silero_vad.py`.
+
+- **`prewarmFirstMessage` default reverted to `false`.** An earlier
+  0.6.2 attempt defaulted the flag to `true` in the factory; this
+  proved incompatible with the above barge-in fixes. When the greeting
+  is prewarmed but the phantom-barge-in (or VAD sensitivity) fires
+  incorrectly on carrier-side noise, the agent cancels the cached
+  audio without having spoken a character, leaving the caller in silence
+  for 1–2 s while the agent recovers from the false cancel-and-restart
+  cycle. Reverting to `prewarmFirstMessage: false` (TS) /
+  `prewarm_first_message=False` (Py) at the factory level in
+  `libraries/typescript/src/client.ts:Patter.agent()` and
+  `libraries/python/getpatter/client.py:Patter.agent()`. Users who
+  *want* the latency reduction should opt in explicitly: `phone.agent({
+  prewarmFirstMessage: true })` — recommended for inbound calls and
+  low-noise deployments. Realtime / ConvAI modes unaffected.
+
+- **ElevenLabs HTTP TTS now auto-detects carrier and sets
+  `outputFormat`.** Added `setTelephonyCarrier(carrierHint: string)`
+  method to `ElevenLabsTTS` (TS) / `ElevenLabsTTS.set_telephony_carrier`
+  (Py). When constructing `ElevenLabsTTS()` without an explicit
+  `outputFormat` on Twilio, the factory `ElevenLabsTTS.forTwilio()`
+  calls `setTelephonyCarrier("twilio")` to flip `outputFormat` to
+  `"ulaw_8000"`, eliminating the per-frame resample + mulaw encode
+  overhead. The plain constructor now only forwards `outputFormat` when
+  the caller passed one explicitly — was unconditionally forwarding a
+  `"pcm_16000"` fallback that disabled the carrier auto-flip logic.
+  This matches the existing `ElevenLabsWebSocketTTS` carrier-aware
+  behaviour. Files: `libraries/typescript/src/providers/elevenlabs-tts.ts`,
+  `libraries/python/getpatter/providers/elevenlabs_tts.py`.
+
+- **ElevenLabs WebSocket TTS now exposes `cancelActiveStream()` for
+  barge-in cleanup.** The WebSocket variant held a live `activeStreamWs`
+  reference but had no public way to abort it. `StreamHandler.cancelSpeaking`
+  / `handleStop` / `handleWsClose` now call `tts.cancelActiveStream()`,
+  unblocking the synthesizeStream generator's inner `await Promise<frame>`
+  loop immediately when the carrier ends the call or the user barges in.
+  Root cause of the post-hangup 30 s timeout error logs and stale token
+  billing. Files: `libraries/typescript/src/providers/elevenlabs-ws-tts.ts`,
+  `libraries/python/getpatter/providers/elevenlabs_ws_tts.py`.
+
+- **Wrapper class TTS `outputFormat` field now conditional.** When an
+  `ElevenLabsTTS` or `ElevenLabsWebSocketTTS` wrapper receives a carrier
+  hint (e.g. Twilio), the wrapper's `outputFormat` field is set only if
+  the caller passed it explicitly. Previous logic always forwarded a
+  fallback value, which caused the carrier auto-flip to treat
+  `outputFormat` as explicit and skip the optimization. Now the carrier
+  auto-flip logic runs correctly: if no `outputFormat` was passed, the
+  wrapper field remains `undefined`/`None` and the carrier-specific Twilio
+  path activates naturally. Files: `libraries/typescript/src/tts/elevenlabs.ts`,
+  `libraries/typescript/src/tts/elevenlabs-ws.ts`,
+  `libraries/python/getpatter/tts/elevenlabs.py`.
+
+- **`sendPacedFirstMessageBytes` timing rewritten: burst mode, no per-chunk
+  sleep.** The original implementation paced each prewarm chunk with a
+  `setTimeout` / `asyncio.sleep` of one chunk-equivalent of playout time
+  (~40 ms for the 1280-byte default chunk). Combined with the
+  `waitForMarkWindow` back-pressure await and JavaScript/asyncio timer
+  jitter, effective delivery dropped BELOW Twilio's 8 kHz playout clock,
+  producing repeated carrier-side underruns. Caller heard "slow, gravelly,
+  and arriving more slowly than the rest". Twilio's docs (Media Streams →
+  WebSocket Messages) state "media messages of any size" are "buffered
+  and played in the order received" by the carrier-side media server — the
+  carrier owns the playout clock. Rewrote to burst all prewarm chunks
+  back-to-back with 20 ms frame granularity (no per-chunk sleep), matching
+  the live-TTS streaming path that always worked. Per-chunk marks still
+  emitted for fine-grained barge-in cut. Files: `libraries/typescript/src/
+  stream-handler.ts`, `libraries/python/getpatter/stream_handler.py`.
+
+- **Mulaw native fast path in audio encode: skip resample + encode when
+  TTS outputs `ulaw_8000` natively.** When pipeline mode detects
+  `tts.outputFormat === "ulaw_8000"` on Twilio, `encodePipelineAudio`
+  skips the resample (16 kHz → 8 kHz) + mulaw encode chain entirely and
+  base64-encodes the raw bytes. Probed once in `initPipeline` and cached
+  as `ttsOutputFormatNativeForCarrier`. Saves ~1–2 ms per 20 ms frame,
+  cumulative ~5–10 % CPU when deployed at scale. Files:
+  `libraries/typescript/src/stream-handler.ts`, `libraries/python/
+  getpatter/stream_handler.py`.
+
+- **`handleStop` / `handleWsClose` now abort in-flight LLM and cancel TTS
+  immediately.** When the carrier ends a call or the StreamHandler is torn
+  down, both paths now call `llmAbort()` (to unblock any pending LLM stream)
+  and `tts.cancelActiveStream()` (to unblock any pending TTS stream).
+  Prevents stale token billing and 30 s timeout error logs from post-hangup
+  tasks trying to drain a closed WebSocket. Files: `libraries/typescript/src/
+  stream-handler.ts`, `libraries/python/getpatter/stream_handler.py`.
+
+- **Python SDK parity sync for 2026-05-20 acceptance session.** All TS
+  fixes landed during PSTN acceptance testing are now ported to Python:
+  `ElevenLabsTTS.set_telephony_carrier` (HTTP variant, mirrors WS),
+  `ElevenLabsWebSocketTTS.cancel_active_stream` + `_active_stream_ws`
+  tracking, `_do_cancel_for_barge_in` / `cleanup` calling
+  `cancel_active_stream` (duck-typed), `_is_tts_output_format_native_for_carrier`
+  probe + `_tts_output_format_native_for_carrier` flag + audio-sender bypass
+  in `PipelineStreamHandler.start`, `_spawn_prewarm_first_message` accepting
+  `carrier=` and calling `set_telephony_carrier` before synthesis, and the
+  `tts/elevenlabs.py` wrapper only forwarding `output_format` when explicitly
+  passed. Files: `libraries/python/getpatter/providers/elevenlabs_tts.py`,
+  `libraries/python/getpatter/providers/elevenlabs_ws_tts.py`,
+  `libraries/python/getpatter/stream_handler.py`,
+  `libraries/python/getpatter/tts/elevenlabs.py`,
+  `libraries/python/getpatter/client.py`.
+
 - **Bidirectional race guard on `recordTurnComplete` / `recordTurnInterrupted`.**
   The original guard (added earlier in this release) was one-directional:
   a late `recordTurnComplete` after `recordTurnInterrupted` was dropped,
@@ -15,59 +216,6 @@
   `libraries/typescript/src/metrics.ts`; regression tests added in both
   suites.
 
-### Changed
-
-- **Pipeline `prewarmFirstMessage` / `prewarm_first_message` now defaults
-  to `true` in pipeline mode** via the `phone.agent()` / `Patter.agent()`
-  factory in both SDKs. Every pipeline acceptance run had a 1.5-2.5 s
-  `p95` on the first turn because the TTS first-byte latency (200-700 ms
-  cold) was serialised with the carrier's `media-start` event.
-  Pre-rendering the greeting during the ringing window and streaming
-  the cached buffer at pickup collapses that to a single buffer copy —
-  first-turn `p95` drops back into the same band as subsequent turns.
-
-  Trade-off: paying the TTS bill on calls that ring and never answer
-  (~$0.001-$0.005 each depending on TTS provider). Opt out by passing
-  `prewarmFirstMessage: false` (TS) / `prewarm_first_message=False`
-  (Py) to `phone.agent({...})` — useful for very high-volume outbound
-  where un-answered TTS spend matters.
-
-  Default applied at the factory level for parity between SDKs:
-  `libraries/python/getpatter/client.py:Patter.agent()` and
-  `libraries/typescript/src/client.ts:Patter.agent()`. The Python
-  `Agent` dataclass field default stays `False` to preserve
-  backwards-compatible behaviour for direct `Agent(...)` construction
-  (advanced usage outside the recommended factory path). Realtime /
-  ConvAI provider modes are unaffected in either SDK — those handlers
-  never consume the prewarm cache.
-
-### Fixed
-
-- **First-message prewarm playback was slow + gravelly + intermittent on
-  Twilio.** `sendPacedFirstMessageBytes` (TS) /
-  `_send_paced_first_message_bytes` (Py) paced each prewarm chunk with a
-  `setTimeout` / `asyncio.sleep` of one chunk-equivalent of playout time
-  (~40 ms for the 1280-byte default chunk). Combined with the
-  `waitForMarkWindow` back-pressure await and JavaScript/asyncio timer
-  jitter, effective delivery dropped BELOW Twilio's 8 kHz playout clock
-  on the 2-4 s prewarmed greeting buffer, producing repeated carrier-
-  side underruns. Caller heard the message "slow, gravelly, and
-  arriving more slowly than the rest". Twilio's docs (Media Streams →
-  WebSocket Messages) explicitly state "media messages of any size" are
-  "buffered and played in the order received" by the carrier-side media
-  server — the carrier is the source of truth for the playout clock,
-  not our send loop. Removed the per-chunk sleep + the burst-vs-paced
-  switch (`initialFillComplete`) so the prewarm path now bursts all
-  chunks back-to-back, matching the live-TTS streaming path that has
-  always worked. Per-chunk marks are still emitted, so a barge-in's
-  `sendClear` keeps fine-grained granularity to cut.
-
-  Verified against `outbound-openai-transcribe-openai-openai`:
-  pre-fix the same acceptance scenario produced slow/gravelly first-
-  message playback with `p95 wait=0 ms` (prewarm cache hit was correct,
-  but downstream pacing was broken). Files: `libraries/typescript/src/
-  stream-handler.ts`, `libraries/python/getpatter/stream_handler.py`.
-
 ### Fixed
 
 - **Pipeline metrics: `transcript.jsonl` rows after a barge-in carried an
diff --git a/README.md b/README.md
index dbb51759..9cfe96cc 100644
--- a/README.md
+++ b/README.md
@@ -72,7 +72,9 @@ await phone.serve({ agent, tunnel: true });
 
 </details>
 
-`tunnel: true` spawns a Cloudflare tunnel and points your Twilio number at it. In production, pass `webhook_url` / `webhookUrl` to the constructor instead. Every carrier and provider reads its credentials from environment variables by default; see each SDK's README for the full catalog.
+`tunnel: true` spawns a Cloudflare quick tunnel and points your Twilio number at it — great for dev / acceptance. For production outbound calls (especially on Twilio), replace it with [ngrok](https://ngrok.com) or a static `webhook_url` to avoid WSS upgrade races on first call. See [Tunneling](/docs/dev-tools/tunneling) for details.
+
+Every carrier and provider reads its credentials from environment variables by default; see each SDK's README for the full catalog.
 
 ## How Patter compares
 
diff --git a/dashboard-app/src/App.tsx b/dashboard-app/src/App.tsx
index dd21ea6e..2564ff80 100644
--- a/dashboard-app/src/App.tsx
+++ b/dashboard-app/src/App.tsx
@@ -18,7 +18,11 @@ import {
   type SparklineResult,
 } from './lib/mappers';
 
-const SDK_VERSION = '0.6.0';
+// Fallback when the server-side ``aggregates.sdk_version`` field is missing
+// (older backend, transient fetch error). Both SDKs (Python + TS) now ship
+// the live ``getpatter.__version__`` / ``package.json#version`` in every
+// ``/api/dashboard/aggregates`` response.
+const SDK_VERSION_FALLBACK = 'dev';
 const RANGE_LABEL: Record<RangeKey, string> = {
   '1h': '1h',
   '24h': '24h',
@@ -128,6 +132,12 @@ export function App() {
   const rangeAvgP95 = avgP95(filteredCalls) || aggregates?.avg_latency_ms || 0;
   const rangeSpend = totalSpend(filteredCalls) || aggregates?.total_cost || 0;
   const phoneNumber = pickPhoneNumber(calls);
+  // Server-derived SDK version (single source of truth: ``getpatter.__version__``
+  // in Python / ``package.json#version`` in TS, surfaced via the aggregates
+  // payload). Falls back when the server side is older than this SPA build.
+  const sdkVersion =
+    (typeof aggregates?.sdk_version === 'string' && aggregates.sdk_version) ||
+    SDK_VERSION_FALLBACK;
 
   const sparkTotalCalls = useMemo(
     () => computeSparkline(filteredCalls, 'totalCalls', strategy),
@@ -183,7 +193,7 @@ export function App() {
         liveCount={liveCount}
         todayCount={totalCount}
         phoneNumber={phoneNumber}
-        sdkVersion={SDK_VERSION}
+        sdkVersion={sdkVersion}
         revealed={revealed}
         dark={dark}
         onToggleRevealed={toggleRevealed}
@@ -262,7 +272,7 @@ export function App() {
             <span className={isStreaming ? 'green' : ''}>
               {isStreaming ? 'streaming · sse' : error ? `error · ${error}` : 'idle'}
             </span>
-            <span>SDK · {SDK_VERSION}</span>
+            <span>SDK · {sdkVersion}</span>
           </div>
           <div className="group">
             <span>
diff --git a/dashboard-app/src/lib/api.ts b/dashboard-app/src/lib/api.ts
index b5e79f94..edee21fe 100644
--- a/dashboard-app/src/lib/api.ts
+++ b/dashboard-app/src/lib/api.ts
@@ -74,6 +74,12 @@ export interface Aggregates {
   readonly avg_latency_ms: number;
   readonly cost_breakdown: CostBreakdown;
   readonly active_calls: number;
+  /**
+   * SDK version reported by the server (auto-derived from
+   * ``getpatter.__version__`` in Python / ``package.json#version`` in TS).
+   * Optional — older backends omit it; the SPA falls back gracefully.
+   */
+  readonly sdk_version?: string;
 }
 
 const isObject = (value: unknown): value is Record<string, unknown> =>
@@ -204,6 +210,7 @@ function parseAggregates(raw: unknown): Aggregates {
       active_calls: 0,
     };
   }
+  const sdkVersion = asString(raw.sdk_version);
   return {
     total_calls: asNumber(raw.total_calls),
     total_cost: asNumber(raw.total_cost),
@@ -211,6 +218,7 @@ function parseAggregates(raw: unknown): Aggregates {
     avg_latency_ms: asNumber(raw.avg_latency_ms),
     cost_breakdown: parseCostBreakdown(raw.cost_breakdown),
     active_calls: asNumber(raw.active_calls),
+    ...(sdkVersion ? { sdk_version: sdkVersion } : {}),
   };
 }
 
diff --git a/docs/dev-tools/tunneling.mdx b/docs/dev-tools/tunneling.mdx
index 851fb066..4c37f817 100644
--- a/docs/dev-tools/tunneling.mdx
+++ b/docs/dev-tools/tunneling.mdx
@@ -8,9 +8,11 @@ icon: "cloud"
 
 Patter needs a public URL so your telephony provider can send webhooks to the local server. There are three options, all configured via the `tunnel=` argument on `Patter()` (or `new Patter({ tunnel })`).
 
-## CloudflareTunnel (recommended)
+## CloudflareTunnel (dev / acceptance only)
 
-The built-in Cloudflare Quick Tunnel creates a public `*.trycloudflare.com` URL. No account or setup required — just the `cloudflared` binary on `PATH` (or the `cloudflared` npm package).
+The built-in Cloudflare Quick Tunnel creates a public `*.trycloudflare.com` URL with zero setup. No account required — just the `cloudflared` binary on `PATH` (or the `cloudflared` npm package).
+
+**Warning (Twilio outbound calls):** Cloudflare Quick Tunnel routes traffic through a different edge pool than Twilio's Media Streams WebSocket upgrade path. On **first outbound call**, the WSS upgrade can race and drop ~1 % of calls. For production Twilio outbound use, replace this with [ngrok](#static-user-managed-tunnel) or a pre-provisioned named Cloudflare tunnel instead.
 
 <CodeGroup>
 ```python Python
@@ -99,7 +101,9 @@ If auto-configuration fails (for example the Twilio auth token doesn't have perm
 
 ## Static (user-managed tunnel)
 
-Running ngrok or some other public hostname yourself? Use `Static(hostname=...)` — Patter will skip process management and just trust the hostname you provide.
+For production, especially with Twilio outbound calls, manage your own tunnel using ngrok or a pre-provisioned Cloudflare Named Tunnel. Patter will skip process management and trust the hostname you provide.
+
+**Recommended for Twilio outbound:** ngrok stabilizes the WSS upgrade path and eliminates the Quick Tunnel race. Sign up free at [ngrok.com](https://ngrok.com), then:
 
 ```bash
 ngrok http 8000
diff --git a/docs/python-sdk/agents.mdx b/docs/python-sdk/agents.mdx
index f276cb29..44521c2a 100644
--- a/docs/python-sdk/agents.mdx
+++ b/docs/python-sdk/agents.mdx
@@ -89,7 +89,7 @@ agent = phone.agent(
 | `barge_in_threshold_ms` | `int` | `300` | Sustained-voice window (ms) before treating caller audio as barge-in. Set to `0` to disable. |
 | `aggressive_first_flush` | `bool` | `False` | Opt-in low-latency mode: emits the first clause on a soft punctuation boundary (`,`, em-dash, en-dash) once the buffer reaches ~40 chars. Saves 200–500 ms TTFA on the first sentence at the cost of slightly clipped prosody. **Hard-disabled when `language` starts with `"it"`** (Italian decimal commas would split mid-number). Pipeline mode only. |
 | `disable_phone_preamble` | `bool` | `False` | When `False` (default), Patter prepends a phone-friendly preamble to `system_prompt` that instructs the LLM to avoid markdown, emojis, bullet lists, and code blocks; spell out numbers and dates; and keep replies short. Set to `True` to ship `system_prompt` verbatim. |
-| `prewarm_first_message` | `bool` | `True` since 0.6.2 | Pre-render `first_message` to TTS audio bytes during the ringing window and stream the cached buffer the instant the call connects, eliminating the 200–700 ms TTS first-byte latency on the greeting. Pipeline mode only — the flag is silently ignored (with a `WARN` log) on Realtime / ConvAI engines. Trade-off: pays for the greeting's TTS even when the call rings out unanswered (~$0.001–$0.005 per ring). Set `False` to restore the pre-0.6.2 behaviour. |
+| `prewarm_first_message` | `bool` | `False` | Pre-render `first_message` to TTS audio bytes during the ringing window and stream the cached buffer the instant the call connects, eliminating the 200–700 ms TTS first-byte latency on the greeting. Pipeline mode only — the flag is silently ignored (with a `WARN` log) on Realtime / ConvAI engines. Trade-off: pays for the greeting's TTS even when the call rings out unanswered (~$0.001–$0.005 per ring). Opt in explicitly for inbound calls and low-noise deployments: `prewarm_first_message=True`. |
 
 ## Agent Dataclass
 
@@ -156,18 +156,18 @@ agent = phone.agent(
 
 ### Pre-warming the first message
 
-Since 0.6.2, pipeline-mode agents pre-render the `first_message` audio during the ringing window and stream the cached buffer the instant the call connects — eliminating the 200–700 ms TTS first-byte latency on the greeting.
-
-This is enabled by default (`prewarm_first_message=True`). The trade-off is paying for the greeting's TTS even when the call rings out unanswered (typically $0.001–$0.005 per ring depending on TTS provider). Opt out for very high-volume outbound where un-answered TTS spend matters:
+Pipeline-mode agents can pre-render the `first_message` audio during the ringing window and stream the cached buffer the instant the call connects — eliminating the 200–700 ms TTS first-byte latency on the greeting. Opt in explicitly:
 
 ```python
 agent = phone.agent(
     system_prompt="...",
     first_message="Hello!",
-    prewarm_first_message=False,  # disable pre-rendering
+    prewarm_first_message=True,  # enable pre-rendering
 )
 ```
 
+The trade-off is paying for the greeting's TTS even when the call rings out unanswered (typically $0.001–$0.005 per ring depending on TTS provider). Good for inbound calls and low-noise deployments; disable for very high-volume outbound where un-answered TTS spend matters.
+
 Realtime / ConvAI engines don't consume the pre-rendered cache (their first message goes through the engine's own audio path); the flag is silently ignored with a `WARN` log when set on a non-pipeline agent.
 
 ## Voice Selection
@@ -206,12 +206,12 @@ agent = phone.agent(
 )
 ```
 
-`SileroVAD.for_phone_call(**overrides)` is identical to `SileroVAD.load(...)` but pins `sample_rate` to 16 000 Hz — the only sample rate Patter's pipeline-mode audio bus uses (8 kHz mulaw from Twilio is upsampled to 16 kHz PCM before reaching the VAD). All other parameters use the upstream `snakers4/silero-vad` defaults:
+`SileroVAD.for_phone_call(**overrides)` is identical to `SileroVAD.load(...)` but pins `sample_rate` to 16 000 Hz — the only sample rate Patter's pipeline-mode audio bus uses (8 kHz mulaw from Twilio is upsampled to 16 kHz PCM before reaching the VAD). Parameters are tuned for telephony-band audio (not the upstream Silero studio defaults):
 
 | Field | Default | Upstream equivalent |
 |-------|---------|---------------------|
-| `activation_threshold` | `0.5` | `threshold` |
-| `deactivation_threshold` | `0.35` | `neg_threshold = threshold − 0.15` |
+| `activation_threshold` | `0.8` | `threshold` (tuned for telephony, not studio) |
+| `deactivation_threshold` | `0.65` | `neg_threshold = threshold − 0.15` (tuned for telephony) |
 | `min_speech_duration` | `0.25` s | `min_speech_duration_ms = 250` |
 | `min_silence_duration` | `0.1` s | `min_silence_duration_ms = 100` |
 | `prefix_padding_duration` | `0.03` s | `speech_pad_ms = 30` |
diff --git a/docs/python-sdk/carrier.mdx b/docs/python-sdk/carrier.mdx
index 1a5fa8bc..d62fb329 100644
--- a/docs/python-sdk/carrier.mdx
+++ b/docs/python-sdk/carrier.mdx
@@ -41,6 +41,16 @@ carrier = twilio.Carrier(account_sid="AC...", auth_token="...")
 
 On `serve()`, Patter automatically sets the `voice_url` on the Twilio number to `https://<webhook_url>/webhooks/twilio/voice` via the Twilio REST API — no manual Console configuration needed.
 
+### Twilio trial account limitations
+
+Twilio trial accounts apply a few platform-level restrictions that affect first-time testing. None of these are Patter limitations — they're Twilio platform rules:
+
+1. **Verified Caller IDs required for outbound** — trial accounts can only call numbers you've added under **Phone Numbers › Verified Caller IDs** in the Twilio Console. Verifying via the CLI is also restricted; do it from the Console.
+2. **Trial announcement prepended on outbound calls** — Twilio plays an English trial-account message before connecting the call to your agent; the callee has to press a key to continue.
+3. **Trial caller-ID restrictions** — the caller-ID shown to the recipient may be masked or labelled differently than your purchased number until the account is upgraded.
+
+Upgrading the account in the Twilio Console clears all three. Refer to the Twilio docs (search: "trial account") for the current exact behaviour — Twilio may change these over time.
+
 ### Signature verification
 
 The Auth Token is also used to verify every Twilio webhook with HMAC-SHA1 against the `X-Twilio-Signature` header. Requests with invalid signatures are rejected with HTTP 403.
diff --git a/docs/python-sdk/engines.mdx b/docs/python-sdk/engines.mdx
index da27894b..c7183597 100644
--- a/docs/python-sdk/engines.mdx
+++ b/docs/python-sdk/engines.mdx
@@ -42,6 +42,7 @@ asyncio.run(main())
 | Parameter | Type | Default | Description |
 |-----------|------|---------|-------------|
 | `api_key` | `str` | `""` | OpenAI API key. Reads from `OPENAI_API_KEY` when empty. |
+| `language` | `str` | `"en"` | BCP-47 language code (e.g., `"ja"`, `"es"`, `"fr"`). Seeds the auto-generated fallback system prompt (`"Respond in {language}"`). Has no effect when you supply your own `system_prompt` — write the prompt in the target language and OpenAI Realtime will auto-detect from the audio. |
 | `voice` | `str` | `"alloy"` | One of `"alloy"`, `"echo"`, `"fable"`, `"onyx"`, `"nova"`, `"shimmer"`. |
 | `model` | `str` | `"gpt-4o-mini-realtime-preview"` | OpenAI Realtime model ID. See [supported models](/python-sdk/providers/openai-realtime#models). |
 
diff --git a/docs/python-sdk/local-mode.mdx b/docs/python-sdk/local-mode.mdx
index ad1ebb85..5505280d 100644
--- a/docs/python-sdk/local-mode.mdx
+++ b/docs/python-sdk/local-mode.mdx
@@ -80,32 +80,41 @@ await phone.serve(agent, port=8000)
 
 ## Making Outbound Calls
 
-In local mode, use `call()` to make outbound calls while the server is running:
+In local mode, use `call()` to make outbound calls while the server is running.
+
+**Important:** the server must be fully initialized before you call `phone.call()`. Use `await phone.ready` — it resolves once the tunnel is up, the embedded server is in `listen` state, and the carrier webhook is configured. This is the reliable replacement for `asyncio.sleep()` guesswork:
 
 ```python
 import asyncio
 
 async def main():
-    # Start the server in background
+    # Start the server in the background — don't await it yet.
     server_task = asyncio.create_task(phone.serve(agent, port=8000))
 
-    # Wait a moment for the server to be ready
-    await asyncio.sleep(1)
-
-    # Make an outbound call
-    await phone.call(
-        to="+15550009876",
-        agent=agent,
-        machine_detection=True,
-        voicemail_message="Please call us back at 555-000-1234.",
-    )
-
-    # Keep the server running
-    await server_task
+    # Block until tunnel + HTTP server + carrier webhook are all wired up.
+    # Resolves to the public webhook hostname as a string.
+    await phone.ready
+
+    try:
+        # Now safe to make outbound calls
+        await phone.call(
+            to="+15550009876",
+            agent=agent,
+            machine_detection=True,
+            voicemail_message="Please call us back at 555-000-1234.",
+        )
+    finally:
+        # Clean shutdown
+        await phone.disconnect()
+        server_task.cancel()
 
 asyncio.run(main())
 ```
 
+`phone.ready` rejects with the underlying exception if `serve()` fails before the server reaches `listen` state, so you get an immediate error instead of a hanging `await`.
+
+**Advanced — tunnel hostname only:** if you only need the public URL (for example, to register a webhook manually) without waiting for the HTTP server to be in `listen` state, use `await phone.tunnel_ready` instead. It resolves earlier but a `phone.call()` placed immediately afterwards can race the WebSocket upgrade path and produce a dropped call on answer.
+
 ### call() Parameters (Local Mode)
 
 | Parameter | Type | Default | Description |
diff --git a/docs/python-sdk/providers/elevenlabs-tts.mdx b/docs/python-sdk/providers/elevenlabs-tts.mdx
index 514682dc..8f79c9b9 100644
--- a/docs/python-sdk/providers/elevenlabs-tts.mdx
+++ b/docs/python-sdk/providers/elevenlabs-tts.mdx
@@ -86,6 +86,18 @@ const ttsTelnyx = ElevenLabsTTS.forTelnyx({ voiceId: "rachel" });
 
 `for_twilio` / `forTwilio` saves ~30–80 ms first-byte plus per-frame CPU and removes a potential aliasing source. If your Telnyx profile is pinned to PCMU/8000 instead, construct directly with `output_format='ulaw_8000'`.
 
+### Carrier auto-detect — `set_telephony_carrier`
+
+When you don't know the carrier at construction time, `StreamHandler` calls `set_telephony_carrier(carrier)` at call start to advise the provider of the wire format:
+
+```python
+tts = ElevenLabsTTS()                  # output_format defaults to pcm_16000
+tts.set_telephony_carrier("twilio")    # auto-flips to ulaw_8000
+tts.set_telephony_carrier("telnyx")    # keeps pcm_16000 (Telnyx default)
+```
+
+When `output_format` was passed explicitly to the constructor (or via `for_twilio` / `for_telnyx`), `set_telephony_carrier` is a no-op — the user's choice always wins. Calling with an unknown carrier (`""` / `"custom"`) is also a no-op.
+
 ## Constructor
 
 <CodeGroup>
diff --git a/docs/python-sdk/providers/silero-vad.mdx b/docs/python-sdk/providers/silero-vad.mdx
index 1c8fcfff..321632b7 100644
--- a/docs/python-sdk/providers/silero-vad.mdx
+++ b/docs/python-sdk/providers/silero-vad.mdx
@@ -48,8 +48,8 @@ vad = await asyncio.to_thread(SileroVAD.for_phone_call)
 
 # Or, full control:
 vad = SileroVAD.load(
-    activation_threshold=0.5,        # Silero `threshold`
-    deactivation_threshold=0.35,     # `neg_threshold = threshold - 0.15`
+    activation_threshold=0.8,        # Silero `threshold`; 0.8 tuned for telephony
+    deactivation_threshold=0.65,     # `neg_threshold = threshold - 0.15`
     min_speech_duration=0.25,        # seconds, `min_speech_duration_ms = 250`
     min_silence_duration=0.1,        # seconds, `min_silence_duration_ms = 100`
     prefix_padding_duration=0.03,    # seconds, `speech_pad_ms = 30`
@@ -66,8 +66,8 @@ const vad = await SileroVAD.forPhoneCall();
 
 // Or, full control:
 const vad2 = await SileroVAD.load({
-  activationThreshold: 0.5,
-  deactivationThreshold: 0.35,
+  activationThreshold: 0.8,
+  deactivationThreshold: 0.65,
   minSpeechDuration: 0.25,
   minSilenceDuration: 0.1,
   prefixPaddingDuration: 0.03,
@@ -79,15 +79,15 @@ const vad2 = await SileroVAD.load({
 
 ### Phone-call preset (`for_phone_call` / `forPhoneCall`)
 
-Identical to `load()` but pins `sample_rate` to 16000 Hz — the only sample rate Patter's pipeline-mode audio bus uses (8 kHz mulaw from Twilio is upsampled to 16 kHz PCM before reaching the VAD). All other parameters mirror the upstream Silero defaults from `snakers4/silero-vad`:
+Identical to `load()` but pins `sample_rate` to 16000 Hz — the only sample rate Patter's pipeline-mode audio bus uses (8 kHz mulaw from Twilio is upsampled to 16 kHz PCM before reaching the VAD). Parameters are tuned for telephony-band audio (not the upstream Silero studio defaults):
 
-- `activation_threshold = 0.5` — upstream `threshold`
-- `deactivation_threshold = 0.35` — upstream `neg_threshold = threshold - 0.15`
+- `activation_threshold = 0.8` — raised from upstream default 0.5 to filter background noise on telephony
+- `deactivation_threshold = 0.65` — raised from upstream default 0.35 to match activation with no hysteresis gap
 - `min_speech_duration = 0.25` — upstream `min_speech_duration_ms = 250`
 - `min_silence_duration = 0.1` — upstream `min_silence_duration_ms = 100`
 - `prefix_padding_duration = 0.03` — upstream `speech_pad_ms = 30`
 
-Override any field via keyword arguments. Deployments that experience truncation on natural pauses can raise `min_silence_duration` (e.g. 0.5–1.0 s):
+Override any field via keyword arguments. Deployments that experience truncation on natural pauses can raise `min_silence_duration` (e.g. 0.5–1.0 s). To restore the upstream Silero defaults for studio audio, pass `activation_threshold=0.5, deactivation_threshold=0.35`:
 
 <CodeGroup>
 ```python Python
diff --git a/docs/python-sdk/quickstart.mdx b/docs/python-sdk/quickstart.mdx
index db97c7a6..4bd7d717 100644
--- a/docs/python-sdk/quickstart.mdx
+++ b/docs/python-sdk/quickstart.mdx
@@ -146,6 +146,36 @@ Swap `AnthropicLLM()` for `OpenAILLM()`, `GroqLLM()`, `CerebrasLLM()`, or `Googl
 
 ---
 
+## Non-English agents
+
+OpenAI Realtime auto-detects the spoken language from the inbound audio and matches the language of your `system_prompt`. Writing the prompt in the target language is the primary control:
+
+```python
+# Japanese — write the prompt in Japanese.
+agent = phone.agent(
+    engine=OpenAIRealtime(),
+    system_prompt="あなたは丁寧な日本語のアシスタントです。",
+    first_message="お電話ありがとうございます。ご用件をお伺いします。",
+)
+```
+
+The `language="ja"` parameter on `OpenAIRealtime` only seeds the auto-generated fallback prompt (`"Respond in {language}"`) when you don't supply your own `system_prompt`. It does not configure the Realtime API session itself.
+
+For pipeline mode the STT needs the language code so it can pick the right acoustic model:
+
+```python
+agent = phone.agent(
+    stt=DeepgramSTT(language="ja"),        # required: Deepgram needs the JP model
+    llm=AnthropicLLM(),                    # LLM responds in whatever language you prompt it in
+    tts=ElevenLabsTTS(voice_id="..."),     # ElevenLabs auto-detects from text; pick a voice that supports JP
+    system_prompt="あなたは丁寧な日本語のアシスタントです。",
+)
+```
+
+**E.164 formatting for international calls:** outbound `to=` values must be E.164. Many regions drop the trunk-zero — Japanese numbers like `090-xxxx-xxxx` are dialled as `+81XXXXXXXXX` (drop the leading `0`).
+
+---
+
 ## What's next
 
 <CardGroup cols={2}>
diff --git a/docs/typescript-sdk/agents.mdx b/docs/typescript-sdk/agents.mdx
index 428b0af0..8ea84ca4 100644
--- a/docs/typescript-sdk/agents.mdx
+++ b/docs/typescript-sdk/agents.mdx
@@ -78,7 +78,7 @@ Available LLM providers: `OpenAILLM`, `AnthropicLLM`, `GroqLLM`, `CerebrasLLM`,
 | `bargeInThresholdMs` | `number` | No | `300` | Barge-in hang-over window (ms). Set to `0` to disable. |
 | `aggressiveFirstFlush` | `boolean` | No | `false` | Opt-in low-latency mode: emits the first clause on soft punctuation (`,`, em-dash) once the buffer reaches ≥40 chars. Saves 200–500 ms TTFA. Hard-disabled when `language="it"` (Italian punctuation patterns are incompatible). |
 | `disablePhonePreamble` | `boolean` | No | `false` | When `false` (default), Patter prepends a phone-friendly preamble to `systemPrompt` that instructs the LLM to avoid markdown, emojis, bullet lists, and code blocks; spell out numbers and dates; and keep replies short. Set to `true` to ship `systemPrompt` verbatim. |
-| `prewarmFirstMessage` | `boolean` | No | `true` since 0.6.2 (pipeline mode only) | Pre-render `firstMessage` to TTS audio bytes during the ringing window and stream the cached buffer the instant the call connects, eliminating the 200–700 ms TTS first-byte latency on the greeting. Realtime / ConvAI engines silently ignore the flag (with a `WARN` log) — only pipeline mode consumes the cache. Trade-off: pays for the greeting's TTS even when the call rings out unanswered (~$0.001–$0.005 per ring). Set `false` to restore the pre-0.6.2 behaviour. |
+| `prewarmFirstMessage` | `boolean` | No | `false` (pipeline mode only) | Pre-render `firstMessage` to TTS audio bytes during the ringing window and stream the cached buffer the instant the call connects, eliminating the 200–700 ms TTS first-byte latency on the greeting. Realtime / ConvAI engines silently ignore the flag (with a `WARN` log) — only pipeline mode consumes the cache. Trade-off: pays for the greeting's TTS even when the call rings out unanswered (~$0.001–$0.005 per ring). Opt in explicitly for inbound calls and low-noise deployments: `prewarmFirstMessage: true`. |
 | `provider` | `'openai_realtime' \| 'elevenlabs_convai' \| 'pipeline'` | No | derived | Provider mode. Normally derived from `engine` / `stt` + `tts`. Pass `'pipeline'` explicitly when building a pipeline-mode agent without an engine instance. |
 
 ## Validation Rules
@@ -137,8 +137,8 @@ const agent = phone.agent({
 
 | Field | Default | Upstream equivalent |
 |-------|---------|---------------------|
-| `activationThreshold` | `0.5` | `threshold` |
-| `deactivationThreshold` | `0.35` | `neg_threshold = threshold − 0.15` |
+| `activationThreshold` | `0.8` | `threshold` (tuned for telephony, not studio) |
+| `deactivationThreshold` | `0.65` | `neg_threshold = threshold − 0.15` (tuned for telephony) |
 | `minSpeechDuration` | `0.25` s | `min_speech_duration_ms = 250` |
 | `minSilenceDuration` | `0.1` s | `min_silence_duration_ms = 100` |
 | `prefixPaddingDuration` | `0.03` s | `speech_pad_ms = 30` |
diff --git a/docs/typescript-sdk/providers/elevenlabs-tts.mdx b/docs/typescript-sdk/providers/elevenlabs-tts.mdx
index 4fb10e8b..2275a3d9 100644
--- a/docs/typescript-sdk/providers/elevenlabs-tts.mdx
+++ b/docs/typescript-sdk/providers/elevenlabs-tts.mdx
@@ -86,6 +86,18 @@ tts_telnyx = ElevenLabsTTS.for_telnyx(voice_id="rachel")
 
 `forTwilio` saves ~30–80 ms first-byte plus per-frame CPU and removes a potential aliasing source. If your Telnyx profile is pinned to PCMU/8000 instead, construct directly with `outputFormat: "ulaw_8000"`.
 
+### Carrier auto-detect — `setTelephonyCarrier`
+
+When you don't know the carrier at construction time, `StreamHandler` calls `setTelephonyCarrier(carrier)` at call start to advise the provider of the wire format:
+
+```typescript
+const tts = new ElevenLabsTTS();         // outputFormat defaults to pcm_16000
+tts.setTelephonyCarrier("twilio");       // auto-flips to ulaw_8000
+tts.setTelephonyCarrier("telnyx");       // keeps pcm_16000 (Telnyx default)
+```
+
+When `outputFormat` was passed explicitly to the constructor (or via `forTwilio` / `forTelnyx`), `setTelephonyCarrier` is a no-op — the user's choice always wins. Calling with an unknown carrier (`""` / `"custom"`) is also a no-op.
+
 ## Constructor
 
 ```typescript
diff --git a/docs/typescript-sdk/providers/silero-vad.mdx b/docs/typescript-sdk/providers/silero-vad.mdx
index 2097e22f..0452bdae 100644
--- a/docs/typescript-sdk/providers/silero-vad.mdx
+++ b/docs/typescript-sdk/providers/silero-vad.mdx
@@ -51,8 +51,8 @@ const vad = await SileroVAD.forPhoneCall();
 
 // Or, full control:
 const vad2 = await SileroVAD.load({
-  activationThreshold: 0.5,        // Silero `threshold`
-  deactivationThreshold: 0.35,     // `neg_threshold = threshold - 0.15`
+  activationThreshold: 0.8,        // Silero `threshold`; 0.8 tuned for telephony
+  deactivationThreshold: 0.65,     // `neg_threshold = threshold - 0.15`
   minSpeechDuration: 0.25,         // seconds, `min_speech_duration_ms = 250`
   minSilenceDuration: 0.1,         // seconds, `min_silence_duration_ms = 100`
   prefixPaddingDuration: 0.03,     // seconds, `speech_pad_ms = 30`
@@ -68,8 +68,8 @@ from getpatter.providers.silero_vad import SileroVAD
 vad = await asyncio.to_thread(SileroVAD.for_phone_call)
 
 vad2 = SileroVAD.load(
-    activation_threshold=0.5,
-    deactivation_threshold=0.35,
+    activation_threshold=0.8,
+    deactivation_threshold=0.65,
     min_speech_duration=0.25,
     min_silence_duration=0.1,
     prefix_padding_duration=0.03,
@@ -81,15 +81,15 @@ vad2 = SileroVAD.load(
 
 ### Phone-call preset (`forPhoneCall`)
 
-Identical to `load()` but pins `sampleRate` to 16000 Hz — the only sample rate Patter's pipeline-mode audio bus uses (8 kHz mulaw from Twilio is upsampled to 16 kHz PCM before reaching the VAD). All other parameters mirror the upstream Silero defaults from `snakers4/silero-vad`:
+Identical to `load()` but pins `sampleRate` to 16000 Hz — the only sample rate Patter's pipeline-mode audio bus uses (8 kHz mulaw from Twilio is upsampled to 16 kHz PCM before reaching the VAD). Parameters are tuned for telephony-band audio (not the upstream Silero studio defaults):
 
-- `activationThreshold = 0.5` — upstream `threshold`
-- `deactivationThreshold = 0.35` — upstream `neg_threshold = threshold - 0.15`
+- `activationThreshold = 0.8` — raised from upstream default 0.5 to filter background noise on telephony
+- `deactivationThreshold = 0.65` — raised from upstream default 0.35 to match activation with no hysteresis gap
 - `minSpeechDuration = 0.25` — upstream `min_speech_duration_ms = 250`
 - `minSilenceDuration = 0.1` — upstream `min_silence_duration_ms = 100`
 - `prefixPaddingDuration = 0.03` — upstream `speech_pad_ms = 30`
 
-Override any field via the options object. Deployments that experience truncation on natural pauses can raise `minSilenceDuration` (e.g. 0.5–1.0 s):
+Override any field via the options object. Deployments that experience truncation on natural pauses can raise `minSilenceDuration` (e.g. 0.5–1.0 s). To restore the upstream Silero defaults for studio audio, pass `activationThreshold: 0.5, deactivationThreshold: 0.35`:
 
 <CodeGroup>
 ```typescript TypeScript
diff --git a/libraries/python/getpatter/__init__.py b/libraries/python/getpatter/__init__.py
index 058319d9..4d8b62f4 100644
--- a/libraries/python/getpatter/__init__.py
+++ b/libraries/python/getpatter/__init__.py
@@ -77,7 +77,9 @@
 from getpatter.carriers.twilio import Carrier as Twilio
 from getpatter.carriers.telnyx import Carrier as Telnyx
 from getpatter.engines.openai import Realtime as OpenAIRealtime
+from getpatter.engines.openai_realtime_2 import Realtime2 as OpenAIRealtime2
 from getpatter.engines.elevenlabs import ConvAI as ElevenLabsConvAI
+from getpatter.providers.openai_realtime_2 import OpenAIRealtime2Adapter
 
 # STT flat aliases — parity with libraries/typescript/src/index.ts.
 from getpatter.stt.deepgram import STT as DeepgramSTT
@@ -407,6 +409,8 @@ def mix_pcm(agent: bytes, bg: bytes, ratio: float) -> bytes:
     "Twilio",
     "Telnyx",
     "OpenAIRealtime",
+    "OpenAIRealtime2",
+    "OpenAIRealtime2Adapter",
     "ElevenLabsConvAI",
     "DeepgramSTT",
     "WhisperSTT",
diff --git a/libraries/python/getpatter/cli.py b/libraries/python/getpatter/cli.py
index 7461e186..09ea2d7d 100644
--- a/libraries/python/getpatter/cli.py
+++ b/libraries/python/getpatter/cli.py
@@ -21,7 +21,10 @@ def main() -> None:
         help="Start the standalone call monitoring dashboard",
     )
     dash.add_argument(
-        "--port", type=int, default=8000, help="Port to serve dashboard on (default: 8000)"
+        "--port",
+        type=int,
+        default=8000,
+        help="Port to serve dashboard on (default: 8000)",
     )
 
     # patter eval run <suite>
@@ -74,13 +77,23 @@ async def _run_dashboard(port: int) -> None:
     async def health():
         return {"status": "ok", "mode": "dashboard"}
 
-    # Ingest endpoint — SDK POSTs completed call data here for live updates
+    # Ingest endpoint — SDK POSTs call lifecycle events here so a
+    # standalone dashboard surfaces them live. Three event kinds:
+    #   * status="initiated" — outbound dial handed off to carrier,
+    #     callee hasn't picked up yet. Surfaces the row immediately so
+    #     the user sees the attempt during ringing.
+    #   * default (no status) — call_start, media stream began.
+    #   * ended_at present — call_end, final metrics + transcript.
     @app.post("/api/dashboard/ingest")
     async def ingest(request: Request):
         data = await request.json()
         call_id = data.get("call_id", "")
         if not call_id:
             return {"ok": False, "error": "missing call_id"}
+        status = data.get("status")
+        if status == "initiated":
+            store.record_call_initiated(data)
+            return {"ok": True, "call_id": call_id, "event": "initiated"}
         store.record_call_start(data)
         if data.get("ended_at"):
             store.record_call_end(data, metrics=data.get("metrics"))
diff --git a/libraries/python/getpatter/client.py b/libraries/python/getpatter/client.py
index fff1d8e0..0d4f7dc9 100644
--- a/libraries/python/getpatter/client.py
+++ b/libraries/python/getpatter/client.py
@@ -19,6 +19,7 @@
 
 import asyncio
 import logging
+import os
 import time
 from collections.abc import Awaitable, Callable
 from typing import TYPE_CHECKING, Any
@@ -71,9 +72,12 @@ def _resolve_persist_root(persist: bool | str | None) -> str | None:
     - ``persist is False`` → ``None`` (force off, even if env var is set)
     - ``persist is True`` → platform default (``resolve_log_root("auto")``)
     - ``persist`` is a string → exactly that path (after ``~`` expansion)
-    - ``persist is None`` → fall back to ``PATTER_LOG_DIR`` env var, or
-      ``None`` if the env is also unset (preserves the prior opt-in
-      behaviour where persistence required setting the env explicitly)
+    - ``persist is None`` → ``PATTER_LOG_DIR`` env var if set, else platform
+      default (``resolve_log_root("auto")``). Changed from the prior
+      opt-in behaviour on 2026-05-21: the dashboard's hydrate path
+      requires on-disk records to survive process restarts, so persistence
+      now defaults to ON. Set ``persist=False`` to keep the old
+      ephemeral-RAM-only behaviour.
     """
     from getpatter.services.call_log import resolve_log_root
 
@@ -86,6 +90,11 @@ def _resolve_persist_root(persist: bool | str | None) -> str | None:
         result = resolve_log_root(persist)
         return str(result) if result is not None else None
     result = resolve_log_root()
+    if result is not None:
+        return str(result)
+    # No explicit persist + no env var → fall back to platform default so
+    # the dashboard hydrate path always has something to read.
+    result = resolve_log_root("auto")
     return str(result) if result is not None else None
 
 
@@ -135,7 +144,15 @@ async def _safe_close_handle(handle: Any) -> None:
         if ws is not None:
             await ws.close()
             return
-        # Bare websocket
+        # Bare websocket — may have a parked keepalive task attached by
+        # the GA Realtime parker. Cancel it before closing so the loop
+        # doesn't race the close handshake with another send().
+        ka = getattr(handle, "_parked_keepalive_task", None)
+        if ka is not None:
+            try:
+                ka.cancel()
+            except Exception:
+                pass
         await handle.close()
     except Exception:
         pass
@@ -624,39 +641,41 @@ async def call(
                 # penalty on human pickups — the call connects immediately
                 # and the result arrives via the ``/webhooks/twilio/amd``
                 # callback. Twilio best-practice default.
-                extra_params["MachineDetection"] = "DetectMessageEnd"
-                extra_params["AsyncAmd"] = "true"
-                extra_params["AsyncAmdStatusCallback"] = (
+                #
+                # NOTE: All keys here MUST be snake_case. The twilio-python
+                # SDK's ``client.calls.create(**kwargs)`` accepts snake_case
+                # arguments and internally translates them to the PascalCase
+                # form Twilio's REST API requires on the wire. Passing
+                # ``MachineDetection`` / ``StatusCallback`` etc. directly to
+                # ``calls.create`` raises ``TypeError: unexpected keyword
+                # argument`` and crashes every outbound call (the bug that
+                # shipped through 0.5.x and was reported externally).
+                extra_params["machine_detection"] = "DetectMessageEnd"
+                extra_params["async_amd"] = "true"
+                extra_params["async_amd_status_callback"] = (
                     f"https://{config.webhook_url}/webhooks/twilio/amd"
                 )
             if ring_timeout is not None:
-                extra_params["Timeout"] = int(ring_timeout)
+                extra_params["timeout"] = int(ring_timeout)
             # Status callback so the dashboard sees ringing/failed/
             # no-answer transitions before any media webhook fires.
             extra_params.setdefault(
-                "StatusCallback",
+                "status_callback",
                 f"https://{config.webhook_url}/webhooks/twilio/status",
             )
-            extra_params.setdefault("StatusCallbackMethod", "POST")
-            # ``StatusCallbackEvent`` must be a list (twilio-python
+            extra_params.setdefault("status_callback_method", "POST")
+            # ``status_callback_event`` must be a list (twilio-python
             # serialises it as repeated query params), NOT a
-            # space-separated single string. Pass via the snake_case key
-            # ``status_callback_event`` that the twilio-python SDK
-            # documents — the space-separated form triggered Twilio
-            # notification 21626 ("invalid statusCallbackEvents") and on
-            # some ingestion paths also broke the answer-handler webhook
-            # (root cause of intermittent 11100 WS-upgrade failures).
+            # space-separated single string. The space-separated form
+            # triggered Twilio notification 21626 ("invalid
+            # statusCallbackEvents") and on some ingestion paths also
+            # broke the answer-handler webhook (root cause of intermittent
+            # 11100 WS-upgrade failures).
             # See https://www.twilio.com/docs/voice/api/call-resource#statuscallbackevent
-            if (
-                "StatusCallbackEvent" not in extra_params
-                and "status_callback_event" not in extra_params
-            ):
-                extra_params["status_callback_event"] = [
-                    "initiated",
-                    "ringing",
-                    "answered",
-                    "completed",
-                ]
+            extra_params.setdefault(
+                "status_callback_event",
+                ["initiated", "ringing", "answered", "completed"],
+            )
             call_id = await adapter.initiate_call(
                 config.phone_number or from_number,
                 to,
@@ -666,28 +685,41 @@ async def call(
             logger.info("Outbound call initiated: %s", call_id)
             # Pre-register the call so the dashboard surfaces attempts
             # that never reach media (no-answer, busy, carrier-reject).
+            initiated_payload = {
+                "call_id": call_id,
+                "caller": config.phone_number or from_number,
+                "callee": to,
+                "direction": "outbound",
+                "status": "initiated",
+            }
             if (
                 self._server is not None
                 and getattr(self._server, "_metrics_store", None) is not None
             ):
                 try:
-                    self._server._metrics_store.record_call_initiated(
-                        {
-                            "call_id": call_id,
-                            "caller": config.phone_number or from_number,
-                            "callee": to,
-                            "direction": "outbound",
-                        }
-                    )
+                    self._server._metrics_store.record_call_initiated(initiated_payload)
                 except Exception as exc:
                     logger.debug("record_call_initiated: %s", exc)
-            self._spawn_prewarm_first_message(agent, call_id, ring_timeout=ring_timeout)
+            # Relay to a standalone dashboard (``patter dashboard`` running
+            # in a separate process) so it surfaces the dial attempt the
+            # moment we hand off to the carrier, not only when media arrives
+            # on pickup. Fire-and-forget — silent when no standalone
+            # dashboard is listening.
+            try:
+                from getpatter.dashboard.persistence import notify_dashboard
+
+                asyncio.create_task(notify_dashboard(initiated_payload))
+            except Exception:
+                pass
+            self._spawn_prewarm_first_message(
+                agent, call_id, ring_timeout=ring_timeout, carrier="twilio"
+            )
             # Park provider WebSockets in parallel so the per-call
             # StreamHandler can adopt them at ``start`` instead of
             # paying the cold-handshake on first turn. Off when the
             # user explicitly sets ``agent.prewarm=False``.
             if getattr(agent, "prewarm", True) is not False:
-                self._park_provider_connections(agent, call_id)
+                self._park_provider_connections(agent, call_id, carrier="twilio")
         elif config.telephony_provider == "telnyx":
             from getpatter.providers.telnyx_adapter import TelnyxAdapter  # type: ignore[import]
 
@@ -704,28 +736,36 @@ async def call(
                 machine_detection=wants_amd,
             )
             logger.info("Outbound call initiated: %s", call_id)
+            initiated_payload = {
+                "call_id": call_id,
+                "caller": config.phone_number or from_number,
+                "callee": to,
+                "direction": "outbound",
+                "status": "initiated",
+            }
             if (
                 self._server is not None
                 and getattr(self._server, "_metrics_store", None) is not None
             ):
                 try:
-                    self._server._metrics_store.record_call_initiated(
-                        {
-                            "call_id": call_id,
-                            "caller": config.phone_number or from_number,
-                            "callee": to,
-                            "direction": "outbound",
-                        }
-                    )
+                    self._server._metrics_store.record_call_initiated(initiated_payload)
                 except Exception as exc:
                     logger.debug("record_call_initiated: %s", exc)
-            self._spawn_prewarm_first_message(agent, call_id, ring_timeout=ring_timeout)
+            try:
+                from getpatter.dashboard.persistence import notify_dashboard
+
+                asyncio.create_task(notify_dashboard(initiated_payload))
+            except Exception:
+                pass
+            self._spawn_prewarm_first_message(
+                agent, call_id, ring_timeout=ring_timeout, carrier="telnyx"
+            )
             # Park provider WebSockets in parallel so the per-call
             # StreamHandler can adopt them at ``start`` instead of
             # paying the cold-handshake on first turn. Off when the
             # user explicitly sets ``agent.prewarm=False``.
             if getattr(agent, "prewarm", True) is not False:
-                self._park_provider_connections(agent, call_id)
+                self._park_provider_connections(agent, call_id, carrier="telnyx")
 
     # === Pre-warm helpers ===
 
@@ -802,7 +842,13 @@ def close_prewarmed_connections(self, call_id: str) -> None:
         if slot is not None:
             _close_parked_slot(slot)
 
-    def _park_provider_connections(self, agent: Agent, call_id: str) -> None:
+    def _park_provider_connections(
+        self,
+        agent: Agent,
+        call_id: str,
+        *,
+        carrier: str | None = None,
+    ) -> None:
         """Open and park provider WebSockets in parallel with the
         carrier-side ``initiate_call``. Unlike :meth:`_spawn_provider_warmup`
         (which closes the WS after a brief idle), the sockets opened here
@@ -824,7 +870,9 @@ def _park_provider_connections(self, agent: Agent, call_id: str) -> None:
         tts = getattr(agent, "tts", None)
         stt_open = getattr(stt, "open_parked_connection", None) if stt else None
         tts_open = getattr(tts, "open_parked_connection", None) if tts else None
-        if stt_open is None and tts_open is None:
+        provider = getattr(agent, "provider", None)
+        wants_realtime_park = provider in ("openai_realtime", "openai_realtime_2")
+        if stt_open is None and tts_open is None and not wants_realtime_park:
             return
 
         slot: dict[str, Any] = {}
@@ -867,8 +915,93 @@ async def _park_tts() -> None:
             except Exception as exc:  # noqa: BLE001 - best-effort
                 logger.debug("Park TTS failed for %s: %s", call_id, exc)
 
+        async def _park_openai_realtime() -> None:
+            if not wants_realtime_park:
+                return
+            # Build a throw-away adapter instance JUST to call
+            # ``open_parked_connection`` and produce a primed WS. The
+            # per-call StreamHandler builds its own adapter and adopts
+            # the returned WS via ``adopt_websocket``. Constructed with
+            # the same agent-derived kwargs the StreamHandler would use,
+            # so the parked session.update matches what the live session
+            # expects — no second session.update round-trip on adopt.
+            from getpatter.providers.openai_realtime_2 import (  # type: ignore[import]
+                OpenAIRealtime2Adapter,
+            )
+
+            # The OpenAI key lives on ``LocalConfig.openai_key`` (set by
+            # the user when constructing ``Patter()``); fall back to
+            # ``OPENAI_API_KEY`` env var when not explicitly configured.
+            api_key = getattr(self._local_config, "openai_key", None) or os.environ.get(
+                "OPENAI_API_KEY"
+            )
+            if not api_key:
+                logger.info(
+                    "[PREWARM] callId=%s provider=openai_realtime SKIPPED — "
+                    "no OPENAI_API_KEY available",
+                    call_id,
+                )
+                return
+            try:
+                adapter_kwargs: dict[str, Any] = {
+                    "api_key": api_key,
+                    "model": agent.model,
+                    "voice": agent.voice,
+                    "instructions": agent.system_prompt or "",
+                    "language": agent.language,
+                    "tools": [],
+                    # Carrier-derived placeholder; the GA adapter's session
+                    # always emits ``audio/pcm @ 24000`` regardless of this
+                    # value (it transcodes mulaw↔pcm internally), so any
+                    # non-None value keeps the parent class happy.
+                    "audio_format": "g711_ulaw" if carrier == "twilio" else "pcm16",
+                }
+                reasoning_effort = getattr(
+                    agent, "openai_realtime_reasoning_effort", None
+                )
+                if reasoning_effort is not None:
+                    adapter_kwargs["reasoning_effort"] = reasoning_effort
+                transcription_model = getattr(
+                    agent,
+                    "openai_realtime_input_audio_transcription_model",
+                    None,
+                )
+                if transcription_model is not None:
+                    adapter_kwargs["input_audio_transcription_model"] = (
+                        transcription_model
+                    )
+                tmp_adapter = OpenAIRealtime2Adapter(**adapter_kwargs)
+                ws = await tmp_adapter.open_parked_connection()
+                if self._prewarmed_connections.get(call_id) is not slot:
+                    try:
+                        await ws.close()
+                    except Exception:
+                        pass
+                    return
+                slot["openai_realtime"] = ws
+                logger.info(
+                    "[PREWARM] callId=%s provider=openai_realtime ms=%d",
+                    call_id,
+                    int((time.monotonic() - started_at) * 1000),
+                )
+            except Exception as exc:  # noqa: BLE001 - best-effort
+                # Bumped to INFO so prewarm failures surface in normal
+                # logs — they're best-effort but invisible failures make
+                # the latency optimisation hard to debug. Callers can
+                # silence with a logging filter if they really want.
+                logger.info(
+                    "[PREWARM] callId=%s provider=openai_realtime FAILED: %s",
+                    call_id,
+                    exc,
+                )
+
         async def _run_all() -> None:
-            await asyncio.gather(_park_stt(), _park_tts(), return_exceptions=True)
+            await asyncio.gather(
+                _park_stt(),
+                _park_tts(),
+                _park_openai_realtime(),
+                return_exceptions=True,
+            )
 
         task = asyncio.create_task(_run_all())
         self._prewarm_tasks.add(task)
@@ -915,7 +1048,12 @@ async def _evict_parked_after(self, call_id: str, ttl_s: float) -> None:
             )
 
     def _spawn_prewarm_first_message(
-        self, agent: Agent, call_id: str, *, ring_timeout: int | None
+        self,
+        agent: Agent,
+        call_id: str,
+        *,
+        ring_timeout: int | None,
+        carrier: str | None = None,
     ) -> None:
         """Pre-render ``agent.first_message`` to TTS bytes during the
         ringing window and stash them in ``_prewarm_audio[call_id]``.
@@ -935,6 +1073,12 @@ def _spawn_prewarm_first_message(
         **Capped at ``_PREWARM_CACHE_MAX`` concurrent entries.** Refused
         with a WARN when the cap is reached (the call still proceeds —
         StreamHandler falls back to live TTS).
+
+        ``carrier`` — when provided (``"twilio"`` / ``"telnyx"``), the TTS
+        adapter's ``set_telephony_carrier`` hook is called BEFORE synthesis
+        so it can produce wire-native bytes (``ulaw_8000`` for Twilio,
+        ``pcm_16000`` for Telnyx) and skip the client-side transcode.
+        Parity with TS ``Patter.spawnPrewarmFirstMessage(carrier)``.
         """
         if not getattr(agent, "prewarm_first_message", False):
             return
@@ -957,6 +1101,26 @@ def _spawn_prewarm_first_message(
         if synthesize is None or not callable(synthesize):
             return
 
+        # Advise the TTS adapter of the telephony carrier BEFORE we trigger
+        # the synth so it can produce wire-native bytes (``ulaw_8000`` for
+        # Twilio, ``pcm_16000`` for Telnyx) — skipping the client-side
+        # resample + mulaw encode that produced audible artifacts on the
+        # prewarmed firstMessage during 0.6.2 acceptance. The hook is opt-in
+        # per-adapter; adapters that don't expose it (or that the user
+        # configured with an explicit output_format) keep their format.
+        # Parity with TS ``Patter.spawnPrewarmFirstMessage``.
+        if carrier:
+            set_carrier = getattr(tts, "set_telephony_carrier", None)
+            if callable(set_carrier):
+                try:
+                    set_carrier(carrier)
+                except Exception as _exc:
+                    logger.debug(
+                        "Prewarm TTS set_telephony_carrier failed for %s: %s",
+                        call_id,
+                        _exc,
+                    )
+
         # FIX #96 — refuse to spawn when the cache (live entries +
         # in-flight synth tasks) would exceed the cap. Counting both
         # active entries AND pending tasks keeps the bound honest under
@@ -1102,7 +1266,7 @@ def agent(
         self,
         system_prompt: str,
         voice: str = "alloy",
-        model: str = "gpt-4o-mini-realtime-preview",
+        model: str = "gpt-realtime-mini",
         language: str = "en",
         first_message: str = "",
         tools: list[Tool] | None = None,
@@ -1180,9 +1344,9 @@ def agent(
             # users sometimes pass the engine AND a specific voice.
             if voice == "alloy" and engine_fields.get("voice"):
                 voice = engine_fields["voice"]
-            if model == "gpt-4o-mini-realtime-preview" and engine_fields.get("model"):
+            if model == "gpt-realtime-mini" and engine_fields.get("model"):
                 model = engine_fields["model"]
-            if engine_kind == "openai_realtime":
+            if engine_kind in ("openai_realtime", "openai_realtime_2"):
                 openai_engine_key = engine_fields.get("api_key", "")
                 openai_realtime_reasoning_effort = engine_fields.get("reasoning_effort")
                 openai_realtime_input_audio_transcription_model = engine_fields.get(
@@ -1213,7 +1377,10 @@ def agent(
                 self._local_config, elevenlabs_key=elevenlabs_engine_key
             )
 
-        if provider == "openai_realtime" and not self._local_config.openai_key:
+        if (
+            provider in ("openai_realtime", "openai_realtime_2")
+            and not self._local_config.openai_key
+        ):
             raise ValueError(
                 "OpenAI Realtime mode requires an OpenAI API key. Pass "
                 "engine=OpenAIRealtime(api_key='sk-...') or set OPENAI_API_KEY "
@@ -1263,16 +1430,19 @@ def agent(
                 self._guardrail_to_dict(g, index=i) for i, g in enumerate(guardrails)
             ]
 
-        # Default ``prewarm_first_message`` to True in pipeline mode (since
-        # 0.6.2). Greeting TTS pre-rendering during the ringing window
-        # collapses the 200-700 ms first-byte latency that dominated the
-        # first-turn p95 on every pipeline call. Realtime / ConvAI modes
-        # never consume the prewarm cache (the engine drives the first-
-        # message audio path itself), so the default stays False there to
-        # avoid silent TTS spend on un-answered rings. Parity with TS
-        # ``Patter.agent()`` factory (see ``client.ts``).
+        # ``prewarm_first_message`` is opt-in (default False) — reverted
+        # from 2026-05-18's default-on attempt after the 0.6.2 acceptance
+        # run surfaced a phantom-barge-in interaction: prewarm bursts
+        # audio at pickup, the very first inbound carrier frame triggered
+        # Silero VAD speech_start, the firstMessage was cancelled
+        # mid-playback and the user heard a clipped (graffiante) fragment.
+        # Until the root cause (anchoring the barge-in gate on
+        # first-mark-echo rather than ``first_audio_sent_at = begin_speaking
+        # time``) is fully addressed, default it off so most pipeline calls
+        # take the live-streaming path that the user is happy with. Opt in
+        # explicitly per agent when willing to pay the trade-off.
         if prewarm_first_message is None:
-            prewarm_first_message = provider == "pipeline"
+            prewarm_first_message = False
 
         return Agent(
             system_prompt=system_prompt,
@@ -1307,7 +1477,16 @@ def _unpack_engine(engine: Any) -> tuple[str, dict]:
         """Convert an engine instance to ``(kind, {voice, model, api_key, agent_id})``."""
         from getpatter.engines.elevenlabs import ConvAI as _ConvAI
         from getpatter.engines.openai import Realtime as _Realtime
+        from getpatter.engines.openai_realtime_2 import Realtime2 as _Realtime2
 
+        if isinstance(engine, _Realtime2):
+            return "openai_realtime_2", {
+                "api_key": engine.api_key,
+                "voice": engine.voice,
+                "model": engine.model,
+                "reasoning_effort": engine.reasoning_effort,
+                "input_audio_transcription_model": engine.input_audio_transcription_model,
+            }
         if isinstance(engine, _Realtime):
             return "openai_realtime", {
                 "api_key": engine.api_key,
@@ -1323,8 +1502,8 @@ def _unpack_engine(engine: Any) -> tuple[str, dict]:
                 "voice": engine.voice,
             }
         raise TypeError(
-            "engine= must be an OpenAIRealtime(...) or ElevenLabsConvAI(...) "
-            f"instance, got {type(engine).__name__}"
+            "engine= must be an OpenAIRealtime(...), OpenAIRealtime2(...), or "
+            f"ElevenLabsConvAI(...) instance, got {type(engine).__name__}"
         )
 
     @staticmethod
diff --git a/libraries/python/getpatter/dashboard/store.py b/libraries/python/getpatter/dashboard/store.py
index 634f377c..61a2bc20 100644
--- a/libraries/python/getpatter/dashboard/store.py
+++ b/libraries/python/getpatter/dashboard/store.py
@@ -5,9 +5,12 @@
 __all__ = ["MetricsStore", "MetricsStoreProtocol"]
 
 import asyncio
+import json
 import threading
 import time
 from dataclasses import asdict
+from datetime import datetime
+from pathlib import Path
 from typing import Any, Protocol, runtime_checkable
 
 from getpatter.models import CallMetrics
@@ -277,10 +280,36 @@ def record_call_end(
                         existing = self._calls[idx]
                         break
 
+            # Resolve the final transcript and turns. ``data["transcript"]``
+            # from the SDK is the authoritative ``conversation_history``
+            # snapshot at hang-up; when it's missing or empty (e.g.
+            # webhook-rejected inbound, Realtime adopted path where
+            # ``conversation.item.input_audio_transcription.completed`` raced
+            # a ``response.cancel`` and never fired, or the active record
+            # was already moved to ``self._calls`` by an earlier
+            # statusCallback), fall back to the running transcript /
+            # turns we accumulated on the active record via ``record_turn``.
+            # This keeps the live-transcript pane stable across the
+            # ``call_status (completed)`` → ``call_end`` gap, and matches
+            # the TS parity (``dashboard/store.ts`` resolvedTranscript /
+            # resolvedTurns). See dashboard BUG D.
+            data_transcript = data.get("transcript") or []
+            resolved_transcript: list[Any]
+            if data_transcript:
+                resolved_transcript = list(data_transcript)
+            elif active is not None and active.get("transcript"):
+                resolved_transcript = list(active["transcript"])
+            elif existing is not None and existing.get("transcript"):
+                resolved_transcript = list(existing["transcript"])
+            else:
+                resolved_transcript = []
+            source_for_turns = active or existing or {}
+            preserved_turns = list(source_for_turns.get("turns") or [])
             entry: dict[str, Any] = {
                 "call_id": call_id,
                 "ended_at": time.time(),
-                "transcript": data.get("transcript", []),
+                "transcript": resolved_transcript,
+                "turns": preserved_turns,
             }
             source = active or existing
             if source:
@@ -498,6 +527,7 @@ def get_aggregates(self) -> dict[str, Any]:
                         "telephony": 0.0,
                     },
                     "active_calls": len(self._active_calls),
+                    "sdk_version": _sdk_version(),
                 }
 
             total_cost = 0.0
@@ -543,6 +573,7 @@ def get_aggregates(self) -> dict[str, Any]:
                     "telephony": round(cost_tel, 6),
                 },
                 "active_calls": len(self._active_calls),
+                "sdk_version": _sdk_version(),
             }
 
     def get_calls_in_range(
@@ -663,6 +694,18 @@ def hydrate(self, log_root: str | None) -> int:
                                 meta_path,
                             )
                             continue
+                        # Backfill transcript from sibling ``transcript.jsonl``
+                        # when ``metadata.json`` doesn't carry the flat
+                        # transcript array (CallLogger writes one turn per
+                        # line; ``metadata.json`` only carries the aggregate
+                        # count). Without this, hydrated past calls render
+                        # with an empty transcript pane on click. Parity
+                        # with TS ``loadTranscriptJsonl`` (store.ts:780).
+                        if not record.get("transcript"):
+                            jsonl_path = call_dir / "transcript.jsonl"
+                            from_jsonl = _load_transcript_jsonl(jsonl_path)
+                            if from_jsonl:
+                                record["transcript"] = from_jsonl
                         collected.append(record)
                         seen.add(call_id)
 
@@ -786,3 +829,81 @@ def _to_seconds(raw: Any) -> float | None:
     if ended is not None:
         record["ended_at"] = ended
     return record
+
+
+def _sdk_version() -> str:
+    """Resolve the installed ``getpatter`` package version at runtime.
+
+    Single source of truth: ``getpatter.__version__``. Surfaced via the
+    dashboard ``/api/dashboard/aggregates`` payload so the SPA top-bar
+    pill / footer always tracks the package version that's actually
+    serving the dashboard — no manual sync needed when bumping versions.
+    """
+    try:
+        from getpatter import __version__
+
+        return str(__version__)
+    except Exception:
+        return ""
+
+
+def _load_transcript_jsonl(file_path: Path) -> list[dict[str, Any]]:
+    """Reconstruct a flat ``[{role, text, timestamp}, ...]`` transcript
+    array from a per-call ``transcript.jsonl`` file written by
+    ``CallLogger.log_turn``. Parity with TS ``loadTranscriptJsonl``
+    (libraries/typescript/src/dashboard/store.ts:780).
+
+    Each JSONL line carries ``user_text`` / ``agent_text`` plus a
+    timestamp (``ts`` ISO-8601 or ``timestamp`` numeric seconds). Splits
+    the row into one or two entries so the dashboard's transcript pane
+    renders user + assistant turns interleaved. Filters the
+    ``[interrupted]`` placeholder agent text (cancelled barge-in turns).
+    """
+    if not file_path.is_file():
+        return []
+    out: list[dict[str, Any]] = []
+    try:
+        with open(file_path, encoding="utf-8") as fh:
+            for raw_line in fh:
+                line = raw_line.strip()
+                if not line:
+                    continue
+                try:
+                    row = json.loads(line)
+                except json.JSONDecodeError:
+                    continue
+                if not isinstance(row, dict):
+                    continue
+                ts_iso = row.get("ts")
+                ts_num = row.get("timestamp")
+                timestamp: float = 0.0
+                if isinstance(ts_iso, str):
+                    try:
+                        timestamp = datetime.fromisoformat(
+                            ts_iso.replace("Z", "+00:00")
+                        ).timestamp()
+                    except ValueError:
+                        timestamp = 0.0
+                if timestamp == 0.0 and isinstance(ts_num, (int, float)):
+                    timestamp = float(ts_num)
+                user_text = row.get("user_text") or ""
+                agent_text = row.get("agent_text") or ""
+                if isinstance(user_text, str) and user_text:
+                    out.append(
+                        {"role": "user", "text": user_text, "timestamp": timestamp}
+                    )
+                if (
+                    isinstance(agent_text, str)
+                    and agent_text
+                    and agent_text != "[interrupted]"
+                ):
+                    out.append(
+                        {
+                            "role": "assistant",
+                            "text": agent_text,
+                            "timestamp": timestamp,
+                        }
+                    )
+    except OSError:
+        return out
+    return out
diff --git a/libraries/python/getpatter/dashboard/ui.html b/libraries/python/getpatter/dashboard/ui.html
index 50347d38..29a02214 100644
--- a/libraries/python/getpatter/dashboard/ui.html
+++ b/libraries/python/getpatter/dashboard/ui.html
@@ -15,7 +15,7 @@
       href="https://fonts.googleapis.com/css2?family=Instrument+Sans:wght@400;500;600;700&family=JetBrains+Mono:wght@400;500;600&display=swap"
       rel="stylesheet"
     />
-    <script type="module" crossorigin>(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const l of document.querySelectorAll('link[rel="modulepreload"]'))r(l);new MutationObserver(l=>{for(const s of l)if(s.type==="childList")for(const o of s.addedNodes)o.tagName==="LINK"&&o.rel==="modulepreload"&&r(o)}).observe(document,{childList:!0,subtree:!0});function n(l){const s={};return l.integrity&&(s.integrity=l.integrity),l.referrerPolicy&&(s.referrerPolicy=l.referrerPolicy),l.crossOrigin==="use-credentials"?s.credentials="include":l.crossOrigin==="anonymous"?s.credentials="omit":s.credentials="same-origin",s}function r(l){if(l.ep)return;l.ep=!0;const s=n(l);fetch(l.href,s)}})();function Oc(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}var hu={exports:{}},vl={},mu={exports:{}},D={};/**
+    <script type="module" crossorigin>(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const l of document.querySelectorAll('link[rel="modulepreload"]'))r(l);new MutationObserver(l=>{for(const s of l)if(s.type==="childList")for(const o of s.addedNodes)o.tagName==="LINK"&&o.rel==="modulepreload"&&r(o)}).observe(document,{childList:!0,subtree:!0});function n(l){const s={};return l.integrity&&(s.integrity=l.integrity),l.referrerPolicy&&(s.referrerPolicy=l.referrerPolicy),l.crossOrigin==="use-credentials"?s.credentials="include":l.crossOrigin==="anonymous"?s.credentials="omit":s.credentials="same-origin",s}function r(l){if(l.ep)return;l.ep=!0;const s=n(l);fetch(l.href,s)}})();function Ac(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}var pu={exports:{}},vl={},hu={exports:{}},R={};/**
  * @license React
  * react.production.min.js
  *
@@ -23,7 +23,7 @@
  *
  * This source code is licensed under the MIT license found in the
  * LICENSE file in the root directory of this source tree.
- */var sr=Symbol.for("react.element"),Fc=Symbol.for("react.portal"),$c=Symbol.for("react.fragment"),Vc=Symbol.for("react.strict_mode"),Uc=Symbol.for("react.profiler"),Hc=Symbol.for("react.provider"),Bc=Symbol.for("react.context"),Wc=Symbol.for("react.forward_ref"),Qc=Symbol.for("react.suspense"),Kc=Symbol.for("react.memo"),Yc=Symbol.for("react.lazy"),qo=Symbol.iterator;function Xc(e){return e===null||typeof e!="object"?null:(e=qo&&e[qo]||e["@@iterator"],typeof e=="function"?e:null)}var vu={isMounted:function(){return!1},enqueueForceUpdate:function(){},enqueueReplaceState:function(){},enqueueSetState:function(){}},yu=Object.assign,gu={};function vn(e,t,n){this.props=e,this.context=t,this.refs=gu,this.updater=n||vu}vn.prototype.isReactComponent={};vn.prototype.setState=function(e,t){if(typeof e!="object"&&typeof e!="function"&&e!=null)throw Error("setState(...): takes an object of state variables to update or a function which returns an object of state variables.");this.updater.enqueueSetState(this,e,t,"setState")};vn.prototype.forceUpdate=function(e){this.updater.enqueueForceUpdate(this,e,"forceUpdate")};function wu(){}wu.prototype=vn.prototype;function no(e,t,n){this.props=e,this.context=t,this.refs=gu,this.updater=n||vu}var ro=no.prototype=new wu;ro.constructor=no;yu(ro,vn.prototype);ro.isPureReactComponent=!0;var bo=Array.isArray,xu=Object.prototype.hasOwnProperty,lo={current:null},ku={key:!0,ref:!0,__self:!0,__source:!0};function Su(e,t,n){var r,l={},s=null,o=null;if(t!=null)for(r in t.ref!==void 0&&(o=t.ref),t.key!==void 0&&(s=""+t.key),t)xu.call(t,r)&&!ku.hasOwnProperty(r)&&(l[r]=t[r]);var u=arguments.length-2;if(u===1)l.children=n;else if(1<u){for(var a=Array(u),f=0;f<u;f++)a[f]=arguments[f+2];l.children=a}if(e&&e.defaultProps)for(r in u=e.defaultProps,u)l[r]===void 0&&(l[r]=u[r]);return{$$typeof:sr,type:e,key:s,ref:o,props:l,_owner:lo.current}}function Gc(e,t){return{$$typeof:sr,type:e.type,key:t,ref:e.ref,props:e.props,_owner:e._owner}}function so(e){return typeof e=="object"&&e!==null&&e.$$typeof===sr}function Zc(e){var t={"=":"=0",":":"=2"};return"$"+e.replace(/[=:]/g,function(n){return t[n]})}var ei=/\/+/g;function Rl(e,t){return typeof e=="object"&&e!==null&&e.key!=null?Zc(""+e.key):t.toString(36)}function zr(e,t,n,r,l){var s=typeof e;(s==="undefined"||s==="boolean")&&(e=null);var o=!1;if(e===null)o=!0;else switch(s){case"string":case"number":o=!0;break;case"object":switch(e.$$typeof){case sr:case Fc:o=!0}}if(o)return o=e,l=l(o),e=r===""?"."+Rl(o,0):r,bo(l)?(n="",e!=null&&(n=e.replace(ei,"$&/")+"/"),zr(l,t,n,"",function(f){return f})):l!=null&&(so(l)&&(l=Gc(l,n+(!l.key||o&&o.key===l.key?"":(""+l.key).replace(ei,"$&/")+"/")+e)),t.push(l)),1;if(o=0,r=r===""?".":r+":",bo(e))for(var u=0;u<e.length;u++){s=e[u];var a=r+Rl(s,u);o+=zr(s,t,n,a,l)}else if(a=Xc(e),typeof a=="function")for(e=a.call(e),u=0;!(s=e.next()).done;)s=s.value,a=r+Rl(s,u++),o+=zr(s,t,n,a,l);else if(s==="object")throw t=String(e),Error("Objects are not valid as a React child (found: "+(t==="[object Object]"?"object with keys {"+Object.keys(e).join(", ")+"}":t)+"). 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o.componentDidUpdate!="function"||u===e.memoizedProps&&m===e.memoizedState||(t.flags|=4),typeof o.getSnapshotBeforeUpdate!="function"||u===e.memoizedProps&&m===e.memoizedState||(t.flags|=1024),r=!1)}return Bs(e,t,n,r,s,l)}function Bs(e,t,n,r,l,s){nc(e,t);var o=(t.flags&128)!==0;if(!r&&!o)return l&&zi(t,n,!1),nt(e,t,s);r=t.stateNode,Ud.current=t;var u=o&&typeof n.getDerivedStateFromError!="function"?null:r.render();return t.flags|=1,e!==null&&o?(t.child=dn(t,e.child,null,s),t.child=dn(t,null,u,s)):ue(e,t,u,s),t.memoizedState=r.state,l&&zi(t,n,!0),t.child}function rc(e){var t=e.stateNode;t.pendingContext?Ti(e,t.pendingContext,t.pendingContext!==t.context):t.context&&Ti(e,t.context,!1),To(e,t.containerInfo)}function Xi(e,t,n,r,l){return fn(),_o(l),t.flags|=256,ue(e,t,n,r),t.child}var Ws={dehydrated:null,treeContext:null,retryLane:0};function Qs(e){return{baseLanes:e,cachePool:null,transitions:null}}function lc(e,t,n){var 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a={mode:"hidden",children:r.children};return!(o&1)&&t.child!==l?(r=t.child,r.childLanes=0,r.pendingProps=a,t.deletions=null):(r=wt(l,a),r.subtreeFlags=l.subtreeFlags&14680064),u!==null?s=wt(u,s):(s=Rt(s,o,n,null),s.flags|=2),s.return=t,r.return=t,r.sibling=s,t.child=r,r=s,s=t.child,o=e.child.memoizedState,o=o===null?Qs(n):{baseLanes:o.baseLanes|n,cachePool:null,transitions:o.transitions},s.memoizedState=o,s.childLanes=e.childLanes&~n,t.memoizedState=Ws,r}return s=e.child,e=s.sibling,r=wt(s,{mode:"visible",children:r.children}),!(t.mode&1)&&(r.lanes=n),r.return=t,r.sibling=null,e!==null&&(n=t.deletions,n===null?(t.deletions=[e],t.flags|=16):n.push(e)),t.child=r,t.memoizedState=null,r}function $o(e,t){return t=El({mode:"visible",children:t},e.mode,0,null),t.return=e,e.child=t}function jr(e,t,n,r){return r!==null&&_o(r),pn(t,e.child,null,n),e=$o(t,t.pendingProps.children),e.flags|=2,t.memoizedState=null,e}function Ud(e,t,n,r,l,s,o){if(n)return t.flags&256?(t.flags&=-257,r=ts(Error(k(422))),jr(e,t,o,r)):t.memoizedState!==null?(t.child=e.child,t.flags|=128,null):(s=r.fallback,l=t.mode,r=El({mode:"visible",children:r.children},l,0,null),s=Rt(s,l,o,null),s.flags|=2,r.return=t,s.return=t,r.sibling=s,t.child=r,t.mode&1&&pn(t,e.child,null,o),t.child.memoizedState=Qs(o),t.memoizedState=Ws,s);if(!(t.mode&1))return jr(e,t,o,null);if(l.data==="$!"){if(r=l.nextSibling&&l.nextSibling.dataset,r)var u=r.dgst;return r=u,s=Error(k(419)),r=ts(s,r,void 0),jr(e,t,o,r)}if(u=(o&e.childLanes)!==0,me||u){if(r=ee,r!==null){switch(o&-o){case 4:l=2;break;case 16:l=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:l=32;break;case 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n=t.child;n!==null;){if(n.tag===5||n.tag===6)e.appendChild(n.stateNode);else if(n.tag!==4&&n.child!==null){n.child.return=n,n=n.child;continue}if(n===t)break;for(;n.sibling===null;){if(n.return===null||n.return===t)return;n=n.return}n.sibling.return=n.return,n=n.sibling}};Ks=function(){};oc=function(e,t,n,r){var l=e.memoizedProps;if(l!==r){e=t.stateNode,Pt(We.current);var s=null;switch(n){case"input":l=hs(e,l),r=hs(e,r),s=[];break;case"select":l=Y({},l,{value:void 0}),r=Y({},r,{value:void 0}),s=[];break;case"textarea":l=ys(e,l),r=ys(e,r),s=[];break;default:typeof l.onClick!="function"&&typeof r.onClick=="function"&&(e.onclick=qr)}ws(n,r);var o;n=null;for(f in l)if(!r.hasOwnProperty(f)&&l.hasOwnProperty(f)&&l[f]!=null)if(f==="style"){var u=l[f];for(o in u)u.hasOwnProperty(o)&&(n||(n={}),n[o]="")}else 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En(e,t){if(!B)switch(e.tailMode){case"hidden":t=e.tail;for(var n=null;t!==null;)t.alternate!==null&&(n=t),t=t.sibling;n===null?e.tail=null:n.sibling=null;break;case"collapsed":n=e.tail;for(var r=null;n!==null;)n.alternate!==null&&(r=n),n=n.sibling;r===null?t||e.tail===null?e.tail=null:e.tail.sibling=null:r.sibling=null}}function se(e){var t=e.alternate!==null&&e.alternate.child===e.child,n=0,r=0;if(t)for(var l=e.child;l!==null;)n|=l.lanes|l.childLanes,r|=l.subtreeFlags&14680064,r|=l.flags&14680064,l.return=e,l=l.sibling;else for(l=e.child;l!==null;)n|=l.lanes|l.childLanes,r|=l.subtreeFlags,r|=l.flags,l.return=e,l=l.sibling;return e.subtreeFlags|=r,e.childLanes=n,t}function Bd(e,t,n){var r=t.pendingProps;switch(jo(t),t.tag){case 2:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return se(t),null;case 1:return ye(t.type)&&br(),se(t),null;case 3:return 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s=t.memoizedProps;switch(r[He]=t,r[qn]=s,e=(t.mode&1)!==0,n){case"dialog":$("cancel",r),$("close",r);break;case"iframe":case"object":case"embed":$("load",r);break;case"video":case"audio":for(l=0;l<zn.length;l++)$(zn[l],r);break;case"source":$("error",r);break;case"img":case"image":case"link":$("error",r),$("load",r);break;case"details":$("toggle",r);break;case"input":li(r,s),$("invalid",r);break;case"select":r._wrapperState={wasMultiple:!!s.multiple},$("invalid",r);break;case"textarea":oi(r,s),$("invalid",r)}ws(n,s),l=null;for(var o in s)if(s.hasOwnProperty(o)){var u=s[o];o==="children"?typeof u=="string"?r.textContent!==u&&(s.suppressHydrationWarning!==!0&&kr(r.textContent,u,e),l=["children",u]):typeof 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r.is=="string"?e=o.createElement(n,{is:r.is}):(e=o.createElement(n),n==="select"&&(o=e,r.multiple?o.multiple=!0:r.size&&(o.size=r.size))):e=o.createElementNS(e,n),e[He]=t,e[qn]=r,sc(e,t,!1,!1),t.stateNode=e;e:{switch(o=xs(n,r),n){case"dialog":$("cancel",e),$("close",e),l=r;break;case"iframe":case"object":case"embed":$("load",e),l=r;break;case"video":case"audio":for(l=0;l<zn.length;l++)$(zn[l],e);l=r;break;case"source":$("error",e),l=r;break;case"img":case"image":case"link":$("error",e),$("load",e),l=r;break;case"details":$("toggle",e),l=r;break;case"input":li(e,r),l=hs(e,r),$("invalid",e);break;case"option":l=r;break;case"select":e._wrapperState={wasMultiple:!!r.multiple},l=Y({},r,{value:void 0}),$("invalid",e);break;case"textarea":oi(e,r),l=ys(e,r),$("invalid",e);break;default:l=r}ws(n,l),u=l;for(s in u)if(u.hasOwnProperty(s)){var a=u[s];s==="style"?Fu(e,a):s==="dangerouslySetInnerHTML"?(a=a?a.__html:void 0,a!=null&&Au(e,a)):s==="children"?typeof 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t.flags&128?(t.lanes=n,t):(r=r!==null,r!==(e!==null&&e.memoizedState!==null)&&r&&(t.child.flags|=8192,t.mode&1&&(e===null||Q.current&1?q===0&&(q=3):Qo())),t.updateQueue!==null&&(t.flags|=4),se(t),null);case 4:return hn(),Ks(e,t),e===null&&Zn(t.stateNode.containerInfo),se(t),null;case 10:return Mo(t.type._context),se(t),null;case 17:return ye(t.type)&&br(),se(t),null;case 19:if(V(Q),s=t.memoizedState,s===null)return 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t=e.turns;return{duration_seconds:ae(e.duration_seconds),provider_mode:Xe(e.provider_mode),telephony_provider:Xe(e.telephony_provider),stt_provider:Xe(e.stt_provider),tts_provider:Xe(e.tts_provider),llm_provider:Xe(e.llm_provider),stt_model:Xe(e.stt_model),tts_model:Xe(e.tts_model),llm_model:Xe(e.llm_model),cost:Qp(e.cost),latency_avg:Pr(e.latency_avg),latency_p50:Pr(e.latency_p50),latency_p95:Pr(e.latency_p95),latency_p99:Pr(e.latency_p99),turns:Array.isArray(t)?t:void 0}}function Yp(e){if(!Array.isArray(e))return;const t=[];for(const n of e)Ut(n)&&t.push({role:Tt(n.role),text:Tt(n.text),timestamp:Ae(n.timestamp)});return t}function Pc(e){if(!Ut(e))return null;const t=Tt(e.call_id);if(t.length===0)return null;const n=e.turns;return{call_id:t,caller:Tt(e.caller),callee:Tt(e.callee),direction:Tt(e.direction),started_at:Ae(e.started_at),ended_at:ae(e.ended_at),status:Xe(e.status),transcript:Yp(e.transcript),turns:Array.isArray(n)?n:void 0,metrics:Kp(e.metrics)}}function Tc(e){if(!Array.isArray(e))return[];const t=[];for(const n of e){const r=Pc(n);r&&t.push(r)}return t}function Xp(e){return Ut(e)?{stt:Ae(e.stt),tts:Ae(e.tts),llm:Ae(e.llm),telephony:Ae(e.telephony)}:{stt:0,tts:0,llm:0,telephony:0}}function Gp(e){if(!Ut(e))return{total_calls:0,total_cost:0,avg_duration:0,avg_latency_ms:0,cost_breakdown:{stt:0,tts:0,llm:0,telephony:0},active_calls:0};const t=Tt(e.sdk_version);return{total_calls:Ae(e.total_calls),total_cost:Ae(e.total_cost),avg_duration:Ae(e.avg_duration),avg_latency_ms:Ae(e.avg_latency_ms),cost_breakdown:Xp(e.cost_breakdown),active_calls:Ae(e.active_calls),...t?{sdk_version:t}:{}}}async function Jo(e){const t=await fetch(e,{headers:{Accept:"application/json"}});if(!t.ok)throw new Error(`Request to ${e} failed with status ${t.status}`);return t.json()}async function Zp(e=50,t=0){const n=`/api/dashboard/calls?limit=${encodeURIComponent(e)}&offset=${encodeURIComponent(t)}`,r=await Jo(n);return Tc(r)}async function Jp(){const e=await 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t=e.metrics?.cost;if(!t)return{};const n={};return typeof t.telephony=="number"&&(n.telco=t.telephony),typeof t.llm=="number"&&(n.llm=t.llm),typeof t.stt=="number"&&(n.stt=t.stt),typeof t.tts=="number"&&(n.tts=t.tts),typeof t.llm_cached_savings=="number"&&(n.cached=t.llm_cached_savings),(n.stt!==void 0||n.tts!==void 0)&&(n.sttTts=(n.stt??0)+(n.tts??0)),n.telco===void 0&&n.llm===void 0&&n.sttTts===void 0&&typeof t.total=="number"&&(n.total=t.total),n}function uh(e,t){if(t)return;const n=e.metrics?.duration_seconds;return typeof n=="number"?n:typeof e.ended_at=="number"&&typeof e.started_at=="number"?Math.max(0,e.ended_at-e.started_at):0}function ah(e){if(typeof e.ended_at=="number")return Math.round(Date.now()/1e3-e.ended_at)}function cu(e){const t=nh(e.status),n=t==="live"||e.status!==void 0&&th.has(e.status),r=e.metrics?.latency_avg,l=e.metrics?.latency_p50,s=e.metrics?.latency_p95,o=(Array.isArray(e.metrics?.turns)?e.metrics?.turns?.length:void 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   <body>
diff --git a/libraries/python/getpatter/engines/__init__.py b/libraries/python/getpatter/engines/__init__.py
index 02fe530e..21e588d3 100644
--- a/libraries/python/getpatter/engines/__init__.py
+++ b/libraries/python/getpatter/engines/__init__.py
@@ -12,4 +12,4 @@
 
 from __future__ import annotations
 
-__all__ = ["openai", "elevenlabs"]
+__all__ = ["openai", "openai_realtime_2", "elevenlabs"]
diff --git a/libraries/python/getpatter/engines/openai.py b/libraries/python/getpatter/engines/openai.py
index d3bb237f..bc33de62 100644
--- a/libraries/python/getpatter/engines/openai.py
+++ b/libraries/python/getpatter/engines/openai.py
@@ -31,7 +31,7 @@ class Realtime:
 
     api_key: str = ""
     voice: str = "alloy"
-    model: str = "gpt-4o-mini-realtime-preview"
+    model: str = "gpt-realtime-mini"
     # Reasoning-effort tier for ``gpt-realtime-2``. ``None`` leaves the
     # ``session.reasoning`` field unset (server default applies). OpenAI
     # recommends ``"low"`` for production voice flows — higher tiers add
diff --git a/libraries/python/getpatter/engines/openai_realtime_2.py b/libraries/python/getpatter/engines/openai_realtime_2.py
new file mode 100644
index 00000000..fefcb885
--- /dev/null
+++ b/libraries/python/getpatter/engines/openai_realtime_2.py
@@ -0,0 +1,64 @@
+"""OpenAI Realtime 2 engine marker for Patter.
+
+Wraps ``gpt-realtime-2`` (GA Realtime API). Separate marker from
+:class:`getpatter.engines.openai.Realtime` because the GA endpoint speaks a
+different ``session.update`` wire shape; the client dispatches to
+:class:`getpatter.providers.openai_realtime_2.OpenAIRealtime2Adapter` when
+this marker is passed to ``Patter.agent(engine=...)``.
+"""
+
+from __future__ import annotations
+
+import os
+from dataclasses import dataclass
+from typing import Literal
+
+__all__ = ["Realtime2"]
+
+
+@dataclass(frozen=True)
+class Realtime2:
+    """OpenAI GA Realtime API engine config — selects ``gpt-realtime-2``.
+
+    Holds the minimal settings needed by the Patter server to instantiate
+    :class:`getpatter.providers.openai_realtime_2.OpenAIRealtime2Adapter` at
+    call time.
+
+    Example::
+
+        from getpatter import Patter, Twilio, OpenAIRealtime2
+
+        phone = Patter(carrier=Twilio(), phone_number="+1...")
+        agent = phone.agent(
+            engine=OpenAIRealtime2(reasoning_effort="low"),
+            system_prompt="You are a friendly receptionist.",
+            first_message="Hello! How can I help?",
+        )
+    """
+
+    api_key: str = ""
+    voice: str = "alloy"
+    model: str = "gpt-realtime-2"
+    # Reasoning-effort tier. ``None`` leaves the field unset (server default
+    # applies). OpenAI recommends ``"low"`` for production voice flows —
+    # higher tiers add measurable per-turn latency. Has no effect on models
+    # that don't support the ``reasoning`` field.
+    reasoning_effort: Literal["minimal", "low", "medium", "high"] | None = None
+    # Override for ``audio.input.transcription.model``. ``None`` keeps the
+    # adapter default (``whisper-1``). Use ``"gpt-realtime-whisper"`` for
+    # low-latency transcript partials.
+    input_audio_transcription_model: str | None = None
+
+    def __post_init__(self) -> None:
+        key = self.api_key or os.environ.get("OPENAI_API_KEY", "")
+        if not key:
+            raise ValueError(
+                "OpenAI Realtime 2 engine requires an api_key. Pass "
+                "api_key='sk-...' or set OPENAI_API_KEY in the environment."
+            )
+        object.__setattr__(self, "api_key", key)
+
+    @property
+    def kind(self) -> str:
+        """Stable discriminator used for engine dispatch."""
+        return "openai_realtime_2"
diff --git a/libraries/python/getpatter/providers/elevenlabs_tts.py b/libraries/python/getpatter/providers/elevenlabs_tts.py
index 0e226680..6adbb604 100644
--- a/libraries/python/getpatter/providers/elevenlabs_tts.py
+++ b/libraries/python/getpatter/providers/elevenlabs_tts.py
@@ -168,9 +168,7 @@ def __init__(
         api_key: str,
         voice_id: str = "21m00Tcm4TlvDq8ikWAM",
         model_id: Union[ElevenLabsModel, str] = ElevenLabsModel.FLASH_V2_5,
-        output_format: Union[
-            ElevenLabsOutputFormat, str
-        ] = ElevenLabsOutputFormat.PCM_16000,
+        output_format: Union[ElevenLabsOutputFormat, str, None] = None,
         voice_settings: Optional[dict] = None,
         language_code: Optional[str] = None,
         chunk_size: int = 4096,
@@ -178,7 +176,20 @@ def __init__(
         self.api_key = api_key
         self.voice_id = resolve_voice_id(voice_id)
         self.model_id = model_id
-        self.output_format = output_format
+        # Track whether the caller explicitly chose an ``output_format``. When
+        # left unset (``None``), we default to PCM 16 kHz for backward-compat
+        # but allow ``set_telephony_carrier`` to auto-flip to the carrier's
+        # native format (``ulaw_8000`` for Twilio) so ElevenLabs encodes
+        # server-side and we skip a client-side mulaw transcode. When the
+        # caller passed an explicit value, ``set_telephony_carrier`` is a
+        # no-op — the user's choice is respected.
+        # Parity with ElevenLabsWebSocketTTS._output_format_explicit.
+        self._output_format_explicit = output_format is not None
+        self.output_format: Union[ElevenLabsOutputFormat, str] = (
+            output_format
+            if output_format is not None
+            else ElevenLabsOutputFormat.PCM_16000
+        )
         self.voice_settings = voice_settings
         self.language_code = language_code
         self.chunk_size = chunk_size
@@ -268,6 +279,36 @@ def for_telnyx(
             chunk_size=chunk_size,
         )
 
+    # Map of telephony carrier → ElevenLabs HTTP-native ``output_format`` for
+    # zero-transcode delivery to the carrier wire. Mirrors the WS variant's
+    # ``_CARRIER_NATIVE_FORMAT`` so both adapters behave identically when the
+    # stream-handler calls ``set_telephony_carrier``.
+    _CARRIER_NATIVE_FORMAT: dict = {
+        "twilio": ElevenLabsOutputFormat.ULAW_8000,
+        "telnyx": ElevenLabsOutputFormat.PCM_16000,
+    }
+
+    def set_telephony_carrier(self, carrier: str) -> None:
+        """Hook called by ``StreamHandler`` to advise the carrier wire format.
+
+        When the user did NOT pass an explicit ``output_format`` to
+        ``__init__``, this flips the format to the carrier's native wire
+        codec — saving a client-side transcode step. Calling with an
+        unknown carrier (``""`` / ``"custom"``) is a no-op.
+
+        When ``output_format`` was explicitly passed (incl. via the
+        ``for_twilio`` / ``for_telnyx`` factories), this method is a no-op
+        — the user's choice always wins.
+
+        Parity with :meth:`ElevenLabsWebSocketTTS.set_telephony_carrier`.
+        """
+        if self._output_format_explicit:
+            return
+        native = self._CARRIER_NATIVE_FORMAT.get(carrier)
+        if native is None:
+            return
+        self.output_format = native
+
     def _record_synthesis_cost(self, text: str) -> None:
         """Emit ``patter.cost.tts_chars`` for the synthesised text."""
         try:
diff --git a/libraries/python/getpatter/providers/elevenlabs_ws_tts.py b/libraries/python/getpatter/providers/elevenlabs_ws_tts.py
index 426d523b..ae1f969f 100644
--- a/libraries/python/getpatter/providers/elevenlabs_ws_tts.py
+++ b/libraries/python/getpatter/providers/elevenlabs_ws_tts.py
@@ -226,6 +226,13 @@ def __init__(
         # send) instead of opening a fresh socket. The slot is
         # consumed exactly once.
         self._adopted_connection: Optional[ElevenLabsParkedWS] = None
+        # Holds a reference to the currently open synthesis WebSocket so
+        # ``cancel_active_stream`` can force-close it from outside the
+        # generator.  Set just before the ``while True`` receive loop in
+        # ``synthesize``; cleared in the generator's ``finally`` block.
+        # ``None`` when no synthesis is in progress.
+        # Parity with TS ``ElevenLabsWebSocketTTS.activeStreamWs``.
+        self._active_stream_ws: object = None
 
     @property
     def api_key(self) -> str:
@@ -338,6 +345,44 @@ def set_telephony_carrier(self, carrier: str) -> None:
             return
         self.output_format = native
 
+    def cancel_active_stream(self) -> None:
+        """Force-close the currently open synthesis WebSocket (if any).
+
+        Called by ``StreamHandler`` from ``_do_cancel_for_barge_in``,
+        ``on_stop``, and ``on_ws_close`` to unblock the in-flight
+        ``synthesize`` generator's ``await ws.recv()`` immediately.
+        Without this the generator stays blocked in the receive loop
+        for up to ``frame_timeout`` (default 30 s) — ``_init_pipeline``
+        would never return, the STT ``on_transcript`` callback would
+        never register, and every subsequent user turn would be silently
+        dropped.
+
+        No-op when no synthesis is in progress.  Thread-safe: the close
+        is idempotent on an already-closed websocket.
+
+        Parity with TS ``ElevenLabsWebSocketTTS.cancelActiveStream``.
+        """
+        ws = self._active_stream_ws
+        if ws is None:
+            return
+        self._active_stream_ws = None
+        try:
+            # ``websockets`` connection objects are asyncio-aware; close()
+            # schedules the close on the running event loop.  We fire-and-
+            # forget here because cancel_active_stream is called from sync
+            # context (signal handler / barge-in cancel path).
+            import asyncio
+
+            loop = asyncio.get_event_loop()
+            if loop.is_running():
+                loop.call_soon_threadsafe(
+                    lambda: asyncio.ensure_future(ws.close())  # type: ignore[attr-defined]
+                )
+            else:
+                asyncio.run(ws.close())  # type: ignore[attr-defined]
+        except Exception:
+            pass  # defensive — socket may already be closed
+
     # ------------------------------------------------------------------
     # Streaming
     # ------------------------------------------------------------------
@@ -445,6 +490,12 @@ async def synthesize(self, text: str) -> AsyncGenerator[bytes, None]:
 
             from websockets.exceptions import ConnectionClosedOK
 
+            # Expose the in-flight WS so ``cancel_active_stream`` (called
+            # from the stream-handler barge-in / stop / ws-close paths) can
+            # force-close it and unblock the ``await ws.recv()`` below.
+            # Parity with TS ``ElevenLabsWebSocketTTS.activeStreamWs``.
+            self._active_stream_ws = ws
+
             while True:
                 try:
                     raw = await asyncio.wait_for(ws.recv(), timeout=self.frame_timeout)
@@ -507,6 +558,11 @@ async def synthesize(self, text: str) -> AsyncGenerator[bytes, None]:
                 if msg.get("isFinal"):
                     return
         finally:
+            # Clear the active-stream slot. A concurrent ``cancel_active_stream``
+            # call may have already set it to None; that is safe — ``ws`` is a
+            # local binding and the close below is idempotent.
+            if self._active_stream_ws is ws:
+                self._active_stream_ws = None
             # Best-effort: tell the server to stop synthesising any
             # buffered text the consumer is no longer interested in.
             # Failure to send is non-fatal — the socket close below
diff --git a/libraries/python/getpatter/providers/openai_realtime.py b/libraries/python/getpatter/providers/openai_realtime.py
index d9462b38..657b2851 100644
--- a/libraries/python/getpatter/providers/openai_realtime.py
+++ b/libraries/python/getpatter/providers/openai_realtime.py
@@ -240,7 +240,6 @@ async def warmup(self) -> None:
                     url,
                     additional_headers={
                         "Authorization": f"Bearer {self.api_key}",
-                        "OpenAI-Beta": "realtime=v1",
                     },
                     ping_interval=20,
                     ping_timeout=20,
@@ -345,7 +344,6 @@ async def connect(self) -> None:
             url,
             additional_headers={
                 "Authorization": f"Bearer {self.api_key}",
-                "OpenAI-Beta": "realtime=v1",
             },
             # Keep the connection alive on long conversational pauses; a
             # dropped WS mid-call is the single most common failure on
@@ -360,7 +358,14 @@ async def connect(self) -> None:
             response = await self._ws.recv()
             data = json.loads(response)
             if data.get("type") != "session.created":
-                raise RuntimeError(f"Expected session.created, got {data.get('type')}")
+                # Surface the actual server-side error so callers see the
+                # OpenAI message (auth, model not available, quota, etc.)
+                # rather than the bare "got error" wrapper.
+                err = data.get("error") or {}
+                msg = err.get("message") or err.get("code") or str(data)
+                raise RuntimeError(
+                    f"Expected session.created, got {data.get('type')!r}: {msg}"
+                )
 
             await self._ws.send(
                 json.dumps(
@@ -404,7 +409,6 @@ async def open_parked_connection(self):  # type: ignore[no-untyped-def]
                 url,
                 additional_headers={
                     "Authorization": f"Bearer {self.api_key}",
-                    "OpenAI-Beta": "realtime=v1",
                 },
                 ping_interval=20,
                 ping_timeout=20,
@@ -415,7 +419,11 @@ async def open_parked_connection(self):  # type: ignore[no-untyped-def]
             response = await asyncio.wait_for(ws.recv(), timeout=2.0)
             data = json.loads(response)
             if data.get("type") != "session.created":
-                raise RuntimeError(f"Expected session.created, got {data.get('type')}")
+                err = data.get("error") or {}
+                msg = err.get("message") or err.get("code") or str(data)
+                raise RuntimeError(
+                    f"Expected session.created, got {data.get('type')!r}: {msg}"
+                )
             await ws.send(
                 json.dumps(
                     {
@@ -644,28 +652,35 @@ async def cancel_response(self) -> None:
         """
         if self._ws is None:
             return
-        if self._current_response_item_id:
-            audio_end_ms = self._current_response_audio_ms
-            if self._current_response_first_audio_at is not None:
-                # Cap by wall-clock playback time. Subtracting from the
-                # generated total keeps audio_end_ms ≥ 0 and ≤ generated_ms.
-                elapsed_ms = int(
-                    (time.monotonic() - self._current_response_first_audio_at) * 1000
-                )
-                audio_end_ms = min(audio_end_ms, max(elapsed_ms, 0))
-            try:
-                await self._ws.send(
-                    json.dumps(
-                        {
-                            "type": "conversation.item.truncate",
-                            "item_id": self._current_response_item_id,
-                            "content_index": 0,
-                            "audio_end_ms": audio_end_ms,
-                        }
-                    )
+        if not self._current_response_item_id:
+            # No response in flight — nothing to cancel. OpenAI Realtime
+            # GA rejects unconditional ``response.cancel`` with
+            # ``response_cancel_not_active``, which surfaces as ERROR-level
+            # log spam on every phantom VAD ``speech_started`` (echo of
+            # agent audio, voicemail beep, line noise). Silent no-op here
+            # keeps the cancel idempotent across stale callers.
+            return
+        audio_end_ms = self._current_response_audio_ms
+        if self._current_response_first_audio_at is not None:
+            # Cap by wall-clock playback time. Subtracting from the
+            # generated total keeps audio_end_ms ≥ 0 and ≤ generated_ms.
+            elapsed_ms = int(
+                (time.monotonic() - self._current_response_first_audio_at) * 1000
+            )
+            audio_end_ms = min(audio_end_ms, max(elapsed_ms, 0))
+        try:
+            await self._ws.send(
+                json.dumps(
+                    {
+                        "type": "conversation.item.truncate",
+                        "item_id": self._current_response_item_id,
+                        "content_index": 0,
+                        "audio_end_ms": audio_end_ms,
+                    }
                 )
-            except Exception as exc:  # pragma: no cover
-                logger.debug("conversation.item.truncate failed: %s", exc)
+            )
+        except Exception as exc:  # pragma: no cover
+            logger.debug("conversation.item.truncate failed: %s", exc)
         await self._ws.send(json.dumps({"type": "response.cancel"}))
         # Reset per-response tracking so subsequent audio chunks (post-cancel
         # late frames) and the next response.create start clean.
@@ -691,6 +706,21 @@ async def send_text(self, text: str) -> None:
         )
         await self._ws.send(json.dumps({"type": "response.create"}))
 
+    async def request_response(self) -> None:
+        """Trigger ``response.create`` with no new user item.
+
+        Used by the Realtime stream-handler to drive a response after the
+        client-side hallucination filter accepts an
+        ``input_audio_transcription.completed`` event. The server VAD
+        config sets ``create_response: false`` so OpenAI no longer
+        auto-creates a response on every ``input_audio_buffer.committed``;
+        Patter is now responsible for triggering it explicitly when a
+        real user turn lands.
+        """
+        if self._ws is None:
+            return
+        await self._ws.send(json.dumps({"type": "response.create"}))
+
     async def send_first_message(self, text: str) -> None:
         """Make the AI speak ``text`` as its opening line.
 
diff --git a/libraries/python/getpatter/providers/openai_realtime_2.py b/libraries/python/getpatter/providers/openai_realtime_2.py
new file mode 100644
index 00000000..fb73ac50
--- /dev/null
+++ b/libraries/python/getpatter/providers/openai_realtime_2.py
@@ -0,0 +1,775 @@
+"""OpenAI Realtime adapter for the GA Realtime API (``gpt-realtime-2``).
+
+``gpt-realtime-2`` is served from the same ``wss://api.openai.com/v1/realtime``
+endpoint as the v1-beta family, but the GA endpoint:
+
+- REJECTS the legacy ``OpenAI-Beta: realtime=v1`` header.
+- REQUIRES ``session.type == "realtime"`` at the root of ``session.update``.
+- Uses ``output_modalities`` (was ``modalities``).
+- Nests audio config under ``audio.{input,output}`` with MIME ``type``
+  strings (``audio/pcm``) instead of the v1 enum strings (``g711_ulaw``,
+  ``pcm16``) and moves ``voice`` under ``audio.output.voice``,
+  ``transcription`` + ``turn_detection`` under ``audio.input``.
+
+Everything ELSE (event names, audio delta dispatch, barge-in / truncate
+semantics, tool calling) is API-compatible with the v1 family — modulo a
+small set of renamed events the GA API ships — so this adapter subclasses
+:class:`OpenAIRealtimeAdapter` and overrides only :meth:`connect`,
+:meth:`send_audio`, :meth:`send_first_message`, and the event-translation
+layer. The runtime behaviour (``cancel_response``, ``send_text``,
+``send_function_result``, ``close``) is inherited unchanged.
+
+Note on audio transport
+-----------------------
+The GA endpoint accepts only PCM-16-LE with rate >= 24000 for both
+``session.audio.input.format`` and ``session.audio.output.format``.
+The ``audio/pcmu`` MIME type is accepted at the protocol level but the
+server's audio engine silently drops mulaw frames — ``input_audio_buffer.commit``
+returns "buffer only has 0.00ms of audio" and the call ends up muted.
+Until OpenAI documents native g711_ulaw on the GA endpoint we transcode
+on both directions on the Patter side:
+
+- Inbound (Twilio/Telnyx → model): mulaw 8 kHz → PCM 24 kHz
+- Outbound (model → Twilio/Telnyx): PCM 24 kHz → mulaw 8 kHz
+
+The outbound path uses a stateful two-stage resampler (24k → 16k → 8k)
+so phase carries across chunk boundaries and eliminates the click artefact
+that a stateless helper would produce at every audio-delta boundary.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import base64
+import json
+import logging
+import struct
+from typing import Any, AsyncGenerator
+
+import websockets
+
+from getpatter.audio.transcoding import (
+    StatefulResampler,
+    mulaw_to_pcm16,
+    pcm16_to_mulaw,
+)
+from getpatter.providers.openai_realtime import (
+    OpenAIRealtimeAdapter,
+    OpenAIRealtimeVADType,
+    OpenAITranscriptionModel,
+)
+
+logger = logging.getLogger("getpatter.openai_realtime_2")
+
+__all__ = ["OpenAIRealtime2Adapter"]
+
+# ---------------------------------------------------------------------------
+# GA event name translation
+# ---------------------------------------------------------------------------
+# Mapping from GA Realtime event names back to the v1 names the rest of
+# Patter (StreamHandler, metrics, dashboard) listens for. The GA API
+# renamed several events but kept payload shapes identical, so we can
+# translate at the WebSocket boundary and reuse the v1 event handler
+# untouched.
+_GA_TO_V1_EVENT_NAMES: dict[str, str] = {
+    "response.output_audio.delta": "response.audio.delta",
+    "response.output_audio.done": "response.audio.done",
+    "response.output_audio_transcript.delta": "response.audio_transcript.delta",
+    "response.output_audio_transcript.done": "response.audio_transcript.done",
+}
+
+# 20 ms of mulaw at 8 kHz = 160 bytes. Splitting large GA deltas into
+# 160-byte frames gives the StreamHandler → bridge.send_audio chain the
+# natural cadence it expects.
+_MULAW_FRAME_BYTES = 160
+
+# Gain boost applied to inbound telephony audio before upsampling to 24 kHz.
+# The GA server VAD is calibrated against studio-quality 24 kHz audio;
+# telephony-band mulaw typically sits at ~-12 dB peak relative to that.
+# 2x gain lifts the signal into the VAD's expected range so speech_started
+# fires reliably on phone-band input.
+_INBOUND_GAIN = 2
+
+
+class OpenAIRealtime2Adapter(OpenAIRealtimeAdapter):
+    """Realtime WebSocket adapter speaking OpenAI's GA Realtime API.
+
+    Subclasses :class:`OpenAIRealtimeAdapter` and overrides:
+
+    - :meth:`connect` — omits ``OpenAI-Beta`` header; sends GA-shape
+      ``session.update`` with nested ``audio.{input,output}`` and
+      ``output_modalities``.
+    - :meth:`send_audio` — transcodes inbound mulaw 8 kHz → PCM 24 kHz
+      before appending to the input audio buffer.
+    - :meth:`receive_events` — translates GA event names back to v1 names
+      and decodes outbound PCM 24 kHz → mulaw 8 kHz in 20 ms slices.
+    - :meth:`send_first_message` — uses ``output_modalities`` and re-injects
+      ``audio.output.voice`` for the first response.create.
+
+    Everything else (``cancel_response``, ``send_text``,
+    ``send_function_result``, ``close``) is inherited unchanged.
+    """
+
+    def __init__(self, *args: Any, **kwargs: Any) -> None:
+        super().__init__(*args, **kwargs)
+        # Stateful two-stage outbound resampler: 24k → 16k → 8k.
+        # Created lazily on the first audio delta so each session has its own state.
+        self._outbound_resampler_24to16: StatefulResampler | None = None
+        self._outbound_resampler_16to8: StatefulResampler | None = None
+        # Last 8 kHz input sample carried across chunk boundaries for the
+        # direct 3x linear upsample. The carry guarantees the first output of
+        # each chunk interpolates from the real preceding sample, not from a
+        # replicated first sample — without it every 20 ms Twilio frame
+        # boundary becomes a small DC step that the GA server VAD interprets
+        # as constant low-energy noise.
+        self._inbound_8k_carry: int | None = None
+
+    # ------------------------------------------------------------------
+    # Private helpers
+    # ------------------------------------------------------------------
+
+    def _build_ga_session_config(self) -> dict[str, Any]:
+        """Build the GA-shape session.update body."""
+        # The GA endpoint requires audio/pcm with rate >= 24000 for both
+        # directions. mulaw is not honoured by the audio engine even though
+        # the protocol accepts the MIME type.
+        fmt: dict[str, Any] = {"type": "audio/pcm", "rate": 24000}
+        config: dict[str, Any] = {
+            "type": "realtime",
+            "output_modalities": self.modalities or ["audio"],
+            "audio": {
+                "input": {
+                    "format": fmt,
+                    "transcription": {
+                        "model": self.input_audio_transcription_model
+                        or OpenAITranscriptionModel.WHISPER_1.value,
+                    },
+                    # VAD threshold raised back to the OpenAI default (0.5)
+                    # on 2026-05-22. The earlier 0.1 tuning (motivated by
+                    # the upsampled telephony-band loss in high frequencies)
+                    # made the server VAD trigger on the carrier-loopback
+                    # echo of the agent's OWN outbound audio in PSTN no-AEC
+                    # scenarios. Combined with the default
+                    # ``turn_detection.create_response: true``, every phantom
+                    # ``speech_started`` ended a turn early and auto-created
+                    # a new response that the agent immediately spoke over,
+                    # leading to a runaway loop where the first message was
+                    # repeatedly cut and re-generated.
+                    "turn_detection": {
+                        "type": self.vad_type or OpenAIRealtimeVADType.SERVER_VAD.value,
+                        "threshold": 0.5,
+                        "prefix_padding_ms": 300,
+                        "silence_duration_ms": self.silence_duration_ms,
+                        # Defer ``response.create`` to the application: when
+                        # OpenAI's server VAD commits an
+                        # ``input_audio_buffer.committed`` segment that turns
+                        # out to be a Whisper hallucination on silence/echo,
+                        # auto-creating a response would generate a phantom
+                        # turn (the model reads the hallucinated text as user
+                        # input). Patter triggers ``response.create``
+                        # explicitly in the Realtime stream-handler AFTER
+                        # validating ``transcript_input`` against the
+                        # hallucination filter. Pair with
+                        # ``interrupt_response: false`` so server VAD also
+                        # leaves in-flight responses alone — barge-in is
+                        # gated client-side.
+                        "create_response": False,
+                        "interrupt_response": False,
+                    },
+                },
+                "output": {
+                    "format": fmt,
+                    "voice": self.voice,
+                },
+            },
+            "instructions": self.instructions
+            or f"You are a helpful voice assistant. Respond in {self.language}. Be concise and natural.",
+        }
+        if self.temperature is not None:
+            config["temperature"] = self.temperature
+        if self.max_response_output_tokens is not None:
+            config["max_output_tokens"] = self.max_response_output_tokens
+        if self.tool_choice is not None:
+            config["tool_choice"] = self.tool_choice
+        if self.reasoning_effort is not None:
+            config["reasoning"] = {"effort": self.reasoning_effort}
+        if self.tools:
+            config["tools"] = [self._build_tool_wire_format(t) for t in self.tools]
+        return config
+
+    def _transcode_inbound_mulaw8_to_pcm24(self, mulaw: bytes) -> bytes:
+        """mulaw 8 kHz → PCM-16-LE 24 kHz via direct 3x linear interpolation.
+
+        For every consecutive pair of 8 kHz samples (s_a, s_b) we emit three
+        24 kHz samples::
+
+            out_0 = s_a
+            out_1 = round(2/3·s_a + 1/3·s_b)
+            out_2 = round(1/3·s_a + 2/3·s_b)
+
+        A one-sample carry across chunk boundaries eliminates the DC step at
+        every 20 ms Twilio frame boundary that otherwise causes the GA server
+        VAD to read constant low-energy noise and never fire speech_started.
+        The first chunk (no carry yet) loses 3 output samples at the leading
+        edge (~375 µs), which is well below any audible artefact and well
+        below the VAD's 300 ms prefix-padding window.
+
+        A 2x gain boost lifts telephony-band audio (~-12 dB peak) into the
+        range the GA VAD was calibrated against. Int16 values are clamped to
+        ±32767 to avoid wrap-around.
+        """
+        pcm8 = mulaw_to_pcm16(mulaw)
+        num_samples = len(pcm8) // 2
+        if num_samples == 0:
+            return b""
+
+        # Unpack all 8 kHz samples at once and apply gain.
+        samples8 = [
+            max(
+                -32768,
+                min(32767, struct.unpack_from("<h", pcm8, i * 2)[0] * _INBOUND_GAIN),
+            )
+            for i in range(num_samples)
+        ]
+
+        # Prepend carry from previous chunk.
+        if self._inbound_8k_carry is not None:
+            inputs = [self._inbound_8k_carry] + samples8
+        else:
+            inputs = samples8
+
+        # Save last sample for the next chunk.
+        self._inbound_8k_carry = inputs[-1]
+
+        num_pairs = len(inputs) - 1
+        if num_pairs <= 0:
+            return b""
+
+        # Emit 3 output samples per input pair.
+        out = bytearray(num_pairs * 3 * 2)
+        for i in range(num_pairs):
+            s0 = inputs[i]
+            s1 = inputs[i + 1]
+            offset = i * 6
+            struct.pack_into("<h", out, offset, s0)
+            struct.pack_into("<h", out, offset + 2, round((s0 * 2 + s1) / 3))
+            struct.pack_into("<h", out, offset + 4, round((s0 + s1 * 2) / 3))
+        return bytes(out)
+
+    def _transcode_outbound_pcm24_to_mulaw8(self, delta_b64: str) -> bytes:
+        """Base64 PCM-16-LE 24 kHz → mulaw 8 kHz.
+
+        Uses a stateful two-stage resampler (24k → 16k → 8k) to eliminate
+        boundary clicks. The 16k→8k stage uses audioop's built-in anti-alias
+        filter which removes energy above 4 kHz before decimation, preventing
+        aliasing artefacts that a direct 3:1 decimator would produce on the
+        voice content emitted by gpt-realtime-2.
+        """
+        if self._outbound_resampler_24to16 is None:
+            self._outbound_resampler_24to16 = StatefulResampler(
+                src_rate=24000, dst_rate=16000
+            )
+            self._outbound_resampler_16to8 = StatefulResampler(
+                src_rate=16000, dst_rate=8000
+            )
+        pcm24 = base64.b64decode(delta_b64)
+        pcm16 = self._outbound_resampler_24to16.process(pcm24)
+        pcm8 = self._outbound_resampler_16to8.process(pcm16)  # type: ignore[union-attr]
+        if not pcm8:
+            return b""
+        return pcm16_to_mulaw(pcm8)
+
+    def _translate_ga_event(self, raw: str) -> list[str]:
+        """Translate a raw GA JSON frame to a list of v1-compatible JSON frames.
+
+        For ``response.output_audio.delta`` frames the outbound PCM 24 kHz
+        audio is transcoded to mulaw 8 kHz and split into 20 ms slices
+        (160 bytes each), each yielded as a separate ``response.audio.delta``
+        frame. All other GA-renamed events are rewritten to their v1 name.
+        Returns the unmodified raw string if no translation is needed.
+        """
+        try:
+            data = json.loads(raw)
+        except Exception:
+            return [raw]
+
+        event_type = data.get("type", "")
+
+        if event_type == "response.output_audio.delta":
+            delta_b64: str = data.get("delta", "")
+            if not isinstance(delta_b64, str):
+                return [raw]
+            mulaw = self._transcode_outbound_pcm24_to_mulaw8(delta_b64)
+            if not mulaw:
+                return []  # resampler warmup — no output yet
+            frames: list[str] = []
+            for off in range(0, len(mulaw), _MULAW_FRAME_BYTES):
+                chunk = mulaw[off : off + _MULAW_FRAME_BYTES]
+                frame = dict(data)
+                frame["type"] = "response.audio.delta"
+                frame["delta"] = base64.b64encode(chunk).decode("ascii")
+                frames.append(json.dumps(frame))
+            return frames
+
+        v1_name = _GA_TO_V1_EVENT_NAMES.get(event_type)
+        if v1_name is not None:
+            data["type"] = v1_name
+            return [json.dumps(data)]
+
+        return [raw]
+
+    # ------------------------------------------------------------------
+    # Overridden public methods
+    # ------------------------------------------------------------------
+
+    async def connect(self) -> None:
+        """Connect to the GA Realtime endpoint and apply the GA session config.
+
+        Differences from the v1 ``connect()``:
+
+        - Header ``OpenAI-Beta: realtime=v1`` is OMITTED.
+        - ``session.update`` uses the GA shape: nested ``audio.{input,output}``,
+          ``output_modalities``, ``session.type == "realtime"``.
+        - Surfaces real GA-side rejection errors (``invalid_model``,
+          ``missing_required_parameter``) immediately instead of timing out.
+        """
+        url = f"{self.OPENAI_REALTIME_URL}?model={self.model}"
+        self._ws = await websockets.connect(
+            url,
+            additional_headers={
+                "Authorization": f"Bearer {self.api_key}",
+            },
+            ping_interval=20,
+            ping_timeout=20,
+        )
+        self._running = True
+
+        try:
+            # Wait for session.created.
+            raw = await asyncio.wait_for(self._ws.recv(), timeout=15.0)
+            data = json.loads(raw)
+            if data.get("type") == "error":
+                err = data.get("error") or {}
+                msg = err.get("message") or err.get("code") or str(data)
+                raise RuntimeError(f"OpenAI Realtime 2 setup error: {msg}")
+            if data.get("type") != "session.created":
+                err = data.get("error") or {}
+                msg = err.get("message") or err.get("code") or str(data)
+                raise RuntimeError(
+                    f"Expected session.created, got {data.get('type')!r}: {msg}"
+                )
+
+            await self._ws.send(
+                json.dumps(
+                    {
+                        "type": "session.update",
+                        "session": self._build_ga_session_config(),
+                    }
+                )
+            )
+
+            # Wait for session.updated, surface any error immediately.
+            await self._await_session_updated_ga()
+
+        except Exception:
+            await self._ws.close()
+            self._ws = None
+            self._running = False
+            raise
+
+    async def _await_session_updated_ga(self) -> None:
+        """Wait for ``session.updated``, raising on ``error`` events."""
+        deadline = asyncio.get_event_loop().time() + self._SESSION_UPDATE_TIMEOUT
+        while True:
+            remaining = deadline - asyncio.get_event_loop().time()
+            if remaining <= 0:
+                logger.warning(
+                    "OpenAI Realtime 2: no session.updated received after %.1fs; "
+                    "continuing anyway",
+                    self._SESSION_UPDATE_TIMEOUT,
+                )
+                return
+            try:
+                raw = await asyncio.wait_for(self._ws.recv(), timeout=remaining)
+            except TimeoutError:
+                logger.warning(
+                    "OpenAI Realtime 2: no session.updated received after %.1fs; "
+                    "continuing anyway",
+                    self._SESSION_UPDATE_TIMEOUT,
+                )
+                return
+            try:
+                data = json.loads(raw)
+            except Exception:
+                continue
+            if data.get("type") == "session.updated":
+                return
+            if data.get("type") == "error":
+                err = data.get("error") or {}
+                msg = err.get("message") or err.get("code") or str(data)
+                raise RuntimeError(f"OpenAI Realtime 2 setup error: {msg}")
+            # Any other event gets buffered for the normal receive loop.
+            self._pending_events.append(raw)
+
+    async def open_parked_connection(self):  # type: ignore[no-untyped-def]
+        """Open a fresh GA Realtime WS during ringing, prime
+        ``session.update`` / ``session.updated``, and return the OPEN
+        socket WITHOUT taking it on ``self._ws``.
+
+        Used by the prewarm pipeline to park a Realtime connection
+        during the carrier ringing window so the per-call StreamHandler
+        can adopt a fully-primed session at carrier ``start`` —
+        eliminating the TCP + TLS + HTTP-101 + ``session.update`` ack
+        round-trip from the critical path. Saves ~300-600 ms of
+        first-audible-word latency on outbound.
+
+        Bounded by 8 s (matches the legacy v1 adapter). Raises on
+        timeout / handshake failure / GA-side rejection — the prewarm
+        pipeline treats any error as a cache miss and the call falls
+        through to the cold :meth:`connect` path.
+
+        Billing safety: confirmed by OpenAI's Managing Realtime Costs
+        guide — ``session.update`` does NOT invoke the model and bills
+        no tokens. An idle parked socket costs $0. Call-completion /
+        no-answer paths drain the slot via ``_close_parked_slot``.
+
+        Override of the legacy v1 adapter's parker so the GA shape
+        (``session.type == "realtime"``, ``output_modalities``, nested
+        ``audio.{input,output}``) is sent instead of the v1-beta flat
+        shape.
+        """
+        url = f"{self.OPENAI_REALTIME_URL}?model={self.model}"
+        # Aggressive ping cadence on the parked socket. OpenAI's GA
+        # Realtime endpoint closes idle sockets within ~5-7 s when no
+        # frames are seen — the protocol-level WS PING is enough to
+        # keep the session alive between park (~T0) and adopt (whenever
+        # the callee picks up, typically T+3-15 s on cellular). 4 s
+        # cadence guarantees at least one ping reaches the server
+        # before the idle-disconnect window fires. The live session
+        # keeps the parent's 20 / 20 default — once the call is live,
+        # bidirectional audio frames are themselves the keepalive.
+        ws = await asyncio.wait_for(
+            websockets.connect(
+                url,
+                additional_headers={
+                    "Authorization": f"Bearer {self.api_key}",
+                },
+                ping_interval=4,
+                ping_timeout=4,
+            ),
+            timeout=8.0,
+        )
+        try:
+            raw = await asyncio.wait_for(ws.recv(), timeout=2.0)
+            data = json.loads(raw)
+            if data.get("type") != "session.created":
+                err = data.get("error") or {}
+                msg = err.get("message") or err.get("code") or str(data)
+                raise RuntimeError(
+                    f"Expected session.created on parked GA WS, "
+                    f"got {data.get('type')!r}: {msg}"
+                )
+            await ws.send(
+                json.dumps(
+                    {
+                        "type": "session.update",
+                        "session": self._build_ga_session_config(),
+                    }
+                )
+            )
+            # Drain frames until session.updated (or 1.5 s timeout).
+            deadline = asyncio.get_event_loop().time() + 1.5
+            while True:
+                remaining = deadline - asyncio.get_event_loop().time()
+                if remaining <= 0:
+                    break
+                try:
+                    raw = await asyncio.wait_for(ws.recv(), timeout=remaining)
+                except Exception:
+                    break
+                try:
+                    data = json.loads(raw)
+                except Exception:
+                    continue
+                if isinstance(data, dict) and data.get("type") == "session.updated":
+                    break
+                if isinstance(data, dict) and data.get("type") == "error":
+                    err = data.get("error") or {}
+                    msg = err.get("message") or err.get("code") or str(data)
+                    raise RuntimeError(f"OpenAI Realtime 2 parked-setup error: {msg}")
+        except Exception:
+            try:
+                await ws.close()
+            except Exception:
+                pass
+            raise
+        # Application-level keepalive. Empirically, OpenAI's GA Realtime
+        # edge closes idle parked sockets within ~6-7 s even with a 4 s
+        # WS-level ping — protocol PINGs alone are not counted as
+        # activity. Sending an idempotent ``session.update`` every 3 s
+        # is the documented "ping" pattern (re-affirms session config,
+        # bills no tokens) and reliably keeps the socket alive across
+        # the 3-15 s ringing window. Task also drains incoming acks so
+        # the receive buffer doesn't back-pressure the writer. Cancelled
+        # by :meth:`adopt_websocket` when the live adapter takes over.
+        keepalive_task = asyncio.create_task(
+            self._parked_keepalive_loop(ws),
+            name=f"openai-realtime-parked-keepalive:{id(ws)}",
+        )
+        attached = False
+        try:
+            ws._parked_keepalive_task = keepalive_task  # type: ignore[attr-defined]
+            attached = True
+        except Exception as exc:
+            keepalive_task.cancel()
+            logger.info("[PREWARM-KA] setattr failed: %s — task cancelled", exc)
+        logger.info(
+            "[PREWARM-KA] task scheduled attached=%s ws_id=%s", attached, id(ws)
+        )
+        return ws
+
+    async def _parked_keepalive_loop(self, ws) -> None:  # type: ignore[no-untyped-def]
+        """Drain incoming frames and emit a no-op ``session.update``
+        every 3 s on the parked GA Realtime WS until cancelled."""
+        logger.info("[PREWARM-KA] loop started ws_id=%s", id(ws))
+        next_ping = asyncio.get_event_loop().time() + 3.0
+        pings_sent = 0
+        try:
+            while True:
+                now = asyncio.get_event_loop().time()
+                wait_for = max(0.0, next_ping - now)
+                try:
+                    await asyncio.wait_for(ws.recv(), timeout=wait_for)
+                    continue
+                except asyncio.TimeoutError:
+                    pass
+                except Exception as exc:
+                    logger.info(
+                        "[PREWARM-KA] recv died after %d pings: %s",
+                        pings_sent,
+                        exc,
+                    )
+                    return
+                try:
+                    await ws.send(
+                        json.dumps(
+                            {
+                                "type": "session.update",
+                                "session": self._build_ga_session_config(),
+                            }
+                        )
+                    )
+                    pings_sent += 1
+                    logger.info(
+                        "[PREWARM-KA] sent session.update #%d ws_closed=%s",
+                        pings_sent,
+                        getattr(ws, "closed", "?"),
+                    )
+                except Exception as exc:
+                    logger.info(
+                        "[PREWARM-KA] send failed after %d pings: %s",
+                        pings_sent,
+                        exc,
+                    )
+                    return
+                next_ping = asyncio.get_event_loop().time() + 3.0
+        except asyncio.CancelledError:
+            logger.info(
+                "[PREWARM-KA] cancelled after %d pings (adopted or closed)",
+                pings_sent,
+            )
+            raise
+
+    def adopt_websocket(self, ws) -> None:  # type: ignore[no-untyped-def]
+        """Adopt a pre-opened, already-``session.updated`` GA Realtime WS
+        produced by the prewarm pipeline. Skips the cold-connect path —
+        saves ~300-600 ms on first audible word.
+
+        Caller MUST verify the WS is still alive before calling and
+        MUST have already received ``session.updated`` on the parked
+        socket. If the parked WS died between park and adopt, fall back
+        to :meth:`connect`. Parity with parent ``adopt_websocket`` but
+        explicit here so the override surfaces in the GA adapter's
+        public API (and so tooling that introspects the adapter sees
+        the method without walking the MRO).
+        """
+        # Cancel the parked keepalive loop — the live receive_events()
+        # owns the WS from here on. Awaiting cancellation isn't possible
+        # in a sync method; the loop tolerates abrupt cancellation
+        # (it raises CancelledError out of its single recv()/send()).
+        ka = getattr(ws, "_parked_keepalive_task", None)
+        if ka is not None:
+            try:
+                ka.cancel()
+            except Exception:
+                pass
+            try:
+                delattr(ws, "_parked_keepalive_task")
+            except Exception:
+                pass
+        self._ws = ws
+        self._running = True
+
+    async def send_audio(self, audio: bytes) -> None:
+        """Send audio to the GA Realtime API.
+
+        Transcodes inbound mulaw 8 kHz (from Twilio/Telnyx) to PCM-16-LE
+        24 kHz before appending to the input audio buffer. The GA server's
+        audio engine ignores mulaw frames even though it accepts ``audio/pcmu``
+        at the protocol level — raw mulaw results in "buffer only has 0.00ms
+        of audio" and a muted call.
+        """
+        if self._ws is None:
+            return
+        pcm24 = self._transcode_inbound_mulaw8_to_pcm24(audio)
+        if not pcm24:
+            return
+        encoded = base64.b64encode(pcm24).decode("ascii")
+        await self._ws.send(
+            json.dumps({"type": "input_audio_buffer.append", "audio": encoded})
+        )
+
+    async def receive_events(self) -> AsyncGenerator[tuple[str, Any], None]:
+        """Yield events from the GA Realtime API, translating event names to v1.
+
+        Outbound audio deltas (``response.output_audio.delta``) are:
+        1. Transcoded from PCM 24 kHz → mulaw 8 kHz.
+        2. Split into 20 ms / 160-byte slices and emitted as individual
+           ``("audio", bytes)`` events so StreamHandler's cadence is
+           preserved.
+
+        Other GA-renamed events are translated to their v1 equivalents
+        before dispatch.
+        """
+        if self._ws is None:
+            return
+
+        import websockets.exceptions as _ws_exc
+
+        async def _iter_raw():
+            while self._pending_events:
+                yield self._pending_events.popleft()
+            async for msg in self._ws:
+                yield msg
+
+        try:
+            async for raw in _iter_raw():
+                # Translate GA event names / audio format.
+                translated_frames = self._translate_ga_event(raw)
+                for frame in translated_frames:
+                    # Delegate actual event parsing to a helper so we don't
+                    # duplicate the full dispatch table from the parent class.
+                    async for event in self._dispatch_frame(frame):
+                        yield event
+        except _ws_exc.ConnectionClosed as exc:
+            if self._running and getattr(exc, "code", 1000) != 1000:
+                yield (
+                    "error",
+                    {
+                        "type": "connection_closed",
+                        "code": getattr(exc, "code", None),
+                        "reason": getattr(exc, "reason", ""),
+                    },
+                )
+        finally:
+            self._running = False
+
+    async def _dispatch_frame(self, raw: str) -> AsyncGenerator[tuple[str, Any], None]:
+        """Parse and dispatch a single (already translated) JSON frame.
+
+        This is a subset of the parent's ``receive_events`` dispatch table,
+        re-used after GA→v1 name translation so we don't duplicate logic.
+        """
+        import time as _time
+
+        try:
+            data = json.loads(raw)
+        except Exception:
+            return
+        event_type = data.get("type", "")
+
+        if event_type == "response.audio.delta":
+            audio_bytes = base64.b64decode(data.get("delta", ""))
+            # For GA path the audio is already mulaw 8 kHz (transcoded in
+            # _translate_ga_event). Use the mulaw estimator (8 bytes/ms).
+            self._current_response_audio_ms += len(audio_bytes) // 8
+            if self._current_response_first_audio_at is None:
+                self._current_response_first_audio_at = _time.monotonic()
+            yield ("audio", audio_bytes)
+
+        elif event_type == "response.audio_transcript.delta":
+            yield ("transcript_output", data.get("delta", ""))
+
+        elif event_type in (
+            "response.content_part.added",
+            "response.output_item.added",
+        ):
+            item = data.get("item") or {}
+            item_id = item.get("id") or data.get("item_id")
+            if item_id:
+                self._current_response_item_id = item_id
+                self._current_response_audio_ms = 0
+                self._current_response_first_audio_at = None
+
+        elif event_type == "input_audio_buffer.speech_started":
+            yield ("speech_started", None)
+
+        elif event_type == "input_audio_buffer.speech_stopped":
+            yield ("speech_stopped", None)
+
+        elif event_type == "conversation.item.input_audio_transcription.completed":
+            yield ("transcript_input", data.get("transcript", ""))
+
+        elif event_type == "response.function_call_arguments.done":
+            yield (
+                "function_call",
+                {
+                    "call_id": data.get("call_id", ""),
+                    "name": data.get("name", ""),
+                    "arguments": data.get("arguments", "{}"),
+                },
+            )
+
+        elif event_type == "response.done":
+            self._current_response_item_id = None
+            self._current_response_audio_ms = 0
+            self._current_response_first_audio_at = None
+            yield ("response_done", data.get("response", {}))
+
+        elif event_type == "error":
+            err = data.get("error", {})
+            logger.error("OpenAI Realtime 2 error: %s", err)
+            yield ("error", err)
+
+    async def send_first_message(self, text: str) -> None:
+        """Make the AI speak ``text`` as its opening line using GA-shape fields.
+
+        Two differences from the v1 path:
+
+        1. Uses ``output_modalities`` (the GA endpoint rejects
+           ``response.modalities``).
+        2. Re-injects ``audio.output.voice`` — the GA ``response.create``
+           does NOT inherit voice from the session for this explicit request;
+           it falls back to the server-side default (``marin``, female) when
+           the field is omitted.
+        """
+        if self._ws is None:
+            return
+        response_body: dict[str, Any] = {
+            "output_modalities": ["audio"],
+            "audio": {"output": {"voice": self.voice}},
+            "instructions": (
+                f"Say exactly the following sentence as your first turn "
+                f'and nothing else: "{text}"'
+            ),
+        }
+        # ``reasoning.effort`` is only accepted by the flagship GA
+        # variants (``gpt-realtime``, ``gpt-realtime-2``, …) — the
+        # cost-tier ``gpt-realtime-mini`` rejects it as "Unsupported
+        # option for this model". Forward the field only when the
+        # caller explicitly configured it.
+        if self.reasoning_effort is not None:
+            response_body["reasoning"] = {"effort": self.reasoning_effort}
+        await self._ws.send(
+            json.dumps({"type": "response.create", "response": response_body})
+        )
diff --git a/libraries/python/getpatter/providers/silero_vad.py b/libraries/python/getpatter/providers/silero_vad.py
index a0b813bf..9be17df8 100644
--- a/libraries/python/getpatter/providers/silero_vad.py
+++ b/libraries/python/getpatter/providers/silero_vad.py
@@ -212,6 +212,20 @@ def for_phone_call(cls, **overrides) -> "SileroVAD":
         """
         defaults: dict = {
             "sample_rate": SileroSampleRate.HZ_16000,
+            # Telephony bumps the activation threshold from the upstream
+            # 0.5 → 0.8 (with deactivation 0.65) so background voices
+            # and low-volume audio in the caller's room don't trip
+            # barge-in. Near-mic speech typically scores 0.85-0.98 on
+            # Silero — above 0.8 — while a distant second speaker
+            # through a phone's noise-suppression pipeline lands around
+            # 0.4-0.6 and is now correctly ignored. Bumped twice during
+            # 2026-05-20 acceptance: first 0.5 → 0.7 (still triggered on
+            # quiet voices), then 0.7 → 0.8. Trade-off: a whispered
+            # legitimate input may not trigger; typical phone-call
+            # speakers are unaffected. Pass an explicit
+            # ``activation_threshold`` to override per call site.
+            "activation_threshold": 0.8,
+            "deactivation_threshold": 0.65,
         }
         defaults.update(overrides)
         return cls.load(**defaults)
diff --git a/libraries/python/getpatter/providers/twilio_adapter.py b/libraries/python/getpatter/providers/twilio_adapter.py
index 0ed71026..f8441ce3 100644
--- a/libraries/python/getpatter/providers/twilio_adapter.py
+++ b/libraries/python/getpatter/providers/twilio_adapter.py
@@ -6,6 +6,7 @@
 
 import asyncio
 import logging
+import re
 from functools import partial
 from twilio.rest import Client as TwilioClient
 from twilio.twiml.voice_response import VoiceResponse, Connect
@@ -14,6 +15,22 @@
 logger = logging.getLogger("getpatter.providers.twilio_adapter")
 
 
+_PASCAL_TO_SNAKE_RE = re.compile(r"(?<!^)(?=[A-Z])")
+
+
+def _to_snake_case(name: str) -> str:
+    """Translate a PascalCase / camelCase Twilio param to snake_case.
+
+    The ``twilio-python`` SDK's ``client.calls.create(**kwargs)`` accepts
+    snake_case keyword arguments only — it translates them to the
+    PascalCase form Twilio's REST wire protocol requires. Passing a
+    PascalCase key directly raises ``TypeError: unexpected keyword
+    argument``. This helper normalises both shapes so the adapter is
+    robust regardless of how the caller spelled the param.
+    """
+    return _PASCAL_TO_SNAKE_RE.sub("_", name).lower()
+
+
 class TwilioAdapter(TelephonyProvider):
     """:class:`TelephonyProvider` implementation backed by the Twilio REST API."""
 
@@ -68,7 +85,14 @@ async def initiate_call(
         twiml.append(connect)
         call_kwargs: dict = {"to": to_number, "from_": from_number, "twiml": str(twiml)}
         if extra_params:
-            call_kwargs.update(extra_params)
+            # Defensive normalisation: the ``twilio-python`` SDK rejects
+            # PascalCase kwargs (``StatusCallback``, ``MachineDetection``,
+            # …) with ``TypeError: unexpected keyword argument``.
+            # ``getpatter.client`` already builds the dict in snake_case
+            # form; this guard catches any third-party caller (or future
+            # regression) that still passes the wire-protocol spelling.
+            for key, value in extra_params.items():
+                call_kwargs[_to_snake_case(key)] = value
         call = await self._run_sync(self._twilio_client.calls.create, **call_kwargs)
         return call.sid
 
@@ -98,10 +122,26 @@ def record_call_end_cost(self, *, duration_seconds: float, direction: str) -> No
             logger.debug("record_call_end_cost failed", exc_info=True)
 
     @staticmethod
-    def generate_stream_twiml(stream_url: str) -> str:
-        """Return TwiML that connects the inbound call to the given media stream URL."""
+    def generate_stream_twiml(
+        stream_url: str,
+        parameters: dict[str, str] | None = None,
+    ) -> str:
+        """Return TwiML that connects the inbound call to the media stream URL.
+
+        ``parameters`` is forwarded as ``<Parameter name="..." value="..."/>``
+        children of ``<Stream>``. Twilio Media Streams ignores query-string
+        params on the ``<Stream url=...>`` (they are stripped before the WS
+        handshake), so ``<Parameter>`` tags are the supported way to
+        pre-populate ``start.customParameters`` on the WS payload. Used by
+        the inbound path to carry caller / callee through to the bridge.
+        """
         response = VoiceResponse()
         connect = Connect()
-        connect.stream(url=stream_url)
+        stream = connect.stream(url=stream_url)
+        if parameters:
+            for name, value in parameters.items():
+                if value is None:
+                    continue
+                stream.parameter(name=name, value=str(value))
         response.append(connect)
         return str(response)
diff --git a/libraries/python/getpatter/server.py b/libraries/python/getpatter/server.py
index e02ac74c..7b23b723 100644
--- a/libraries/python/getpatter/server.py
+++ b/libraries/python/getpatter/server.py
@@ -349,6 +349,11 @@ async def _on_call_start(data):
                     call_id_str,
                     caller=resolved_caller,
                     callee=resolved_callee,
+                    direction=(
+                        data.get("direction")
+                        or active_record.get("direction")
+                        or "inbound"
+                    ),
                     telephony_provider=data.get("telephony_provider", "") or "",
                     provider_mode=getattr(agent, "provider", "") or "",
                     agent=_agent_snapshot(),
diff --git a/libraries/python/getpatter/services/call_log.py b/libraries/python/getpatter/services/call_log.py
index 26b283a6..0c467364 100644
--- a/libraries/python/getpatter/services/call_log.py
+++ b/libraries/python/getpatter/services/call_log.py
@@ -104,10 +104,18 @@ def _retention_days() -> int:
 
 
 def _redact_mode() -> str:
-    raw = (os.environ.get("PATTER_LOG_REDACT_PHONE") or "mask").strip().lower()
+    # Default ``full`` (changed from ``mask`` on 2026-05-21): the dashboard
+    # UI's reveal toggle (``revealed=true`` in ``format.ts:fmtPhone``)
+    # cannot reconstruct a raw number once the persisted record has
+    # already been masked, so storing raw on disk is required for the
+    # toggle to actually work. The on-disk path
+    # (``~/Library/Application Support/patter/`` on macOS / XDG data dir
+    # on Linux) is user-private. Override with ``PATTER_LOG_REDACT_PHONE=mask``
+    # for setups that ship logs off-host.
+    raw = (os.environ.get("PATTER_LOG_REDACT_PHONE") or "full").strip().lower()
     if raw in {"full", "mask", "hash_only"}:
         return raw
-    return "mask"
+    return "full"
 
 
 def _redact_phone(raw: str) -> str:
@@ -211,6 +219,7 @@ def log_call_start(
         *,
         caller: str = "",
         callee: str = "",
+        direction: str = "",
         telephony_provider: str = "",
         provider_mode: str = "",
         agent: dict[str, Any] | None = None,
@@ -233,6 +242,7 @@ def log_call_start(
             "status": "in_progress",
             "caller": _redact_phone(caller),
             "callee": _redact_phone(callee),
+            "direction": direction or "inbound",
             "telephony_provider": telephony_provider,
             "provider_mode": provider_mode,
             "agent": agent or {},
diff --git a/libraries/python/getpatter/stream_handler.py b/libraries/python/getpatter/stream_handler.py
index f4b11b01..2ed4ef51 100644
--- a/libraries/python/getpatter/stream_handler.py
+++ b/libraries/python/getpatter/stream_handler.py
@@ -47,13 +47,42 @@
 logger = logging.getLogger("getpatter")
 
 
+def _is_parked_ws_alive(ws: object) -> bool:
+    """Best-effort liveness check across ``websockets`` library versions.
+
+    The legacy client (``websockets<11``) exposes ``ws.closed: bool``.
+    The current asyncio client (``websockets>=12``) exposes ``ws.state``
+    (an ``IntEnum`` with ``OPEN == 1``) and ``ws.close_code`` (``None``
+    while still open). Return ``True`` only when we can confirm the
+    socket is OPEN — never default to True on unknown shapes, otherwise
+    we'd hand a dead socket to the live adapter.
+    """
+    state = getattr(ws, "state", None)
+    if state is not None:
+        try:
+            return int(state) == 1
+        except Exception:
+            return getattr(state, "name", "").upper() == "OPEN"
+    close_code = getattr(ws, "close_code", "__unset__")
+    if close_code != "__unset__":
+        return close_code is None
+    closed = getattr(ws, "closed", None)
+    if closed is None:
+        return False
+    return not bool(closed)
+
+
 # Minimum wall-clock duration (seconds) the agent must have been speaking
 # before barge-in is allowed to fire. AEC variant (1.0 s) covers the
-# filter convergence window. NO_AEC variant (0.25 s) is anti-flicker
-# only — used on PSTN where AEC is a no-op so there is no warmup to
-# protect, and a long gate just suppresses real-user barge-in.
+# filter convergence window. NO_AEC variant raised 0.1 → 0.5 s on
+# 2026-05-19 after the 0.6.2 acceptance run showed a phantom VAD
+# speech_start firing on the very first inbound frame, cancelling the
+# prewarmed firstMessage and leaving the turn-state machine wedged
+# (``_turn_already_closed=True``). 0.5 s filters those phantoms while
+# still allowing real interruptions to land within half a second of
+# agent onset.
 MIN_AGENT_SPEAKING_S_BEFORE_BARGE_IN_AEC = 1.0
-MIN_AGENT_SPEAKING_S_BEFORE_BARGE_IN_NO_AEC = 0.1
+MIN_AGENT_SPEAKING_S_BEFORE_BARGE_IN_NO_AEC = 0.5
 # Backwards-compat alias used by tests; matches AEC variant.
 MIN_AGENT_SPEAKING_S_BEFORE_BARGE_IN = MIN_AGENT_SPEAKING_S_BEFORE_BARGE_IN_AEC
 
@@ -66,6 +95,14 @@
 # emit when fed silence or TTS echo on mulaw 8 kHz. Dropping them as turns
 # prevents the caller from entering a feedback loop where every silent frame
 # triggers a new LLM+TTS turn. Parity with TS ``HALLUCINATIONS``.
+#
+# Whisper-specific full-phrase hallucinations (the model's training set
+# was dominated by YouTube captions — on silence / echo it falls back to
+# the most common training-set closers). These fire HARD on PSTN echo
+# loopback when the agent's outbound audio bleeds into the input buffer
+# and the upstream VAD commits a "non-empty" segment to transcription.
+# Comparison happens against the lower-cased + stripped form, so add
+# the canonical lowercase spelling here.
 _STT_HALLUCINATIONS: frozenset[str] = frozenset(
     {
         "you",
@@ -84,6 +121,22 @@
         "bye",
         "right",
         "cool",
+        # Whisper YouTube-caption hallucinations
+        "thank you for watching",
+        "thanks for watching",
+        "thank you for watching!",
+        "thanks for watching!",
+        "thank you so much for watching",
+        "thanks for listening",
+        "please subscribe",
+        "subscribe",
+        "music",
+        "[music]",
+        "♪",
+        "[no audio]",
+        "[silence]",
+        "[blank_audio]",
+        "(silence)",
     }
 )
 
@@ -251,7 +304,7 @@ def create_metrics_accumulator(
             tts_model = str(getattr(agent.tts, "model", "") or "")
         else:
             tts_name = "elevenlabs" if elevenlabs_key else ""
-    elif provider == "openai_realtime":
+    elif provider in ("openai_realtime", "openai_realtime_2"):
         stt_name = "openai"
         tts_name = "openai"
         # Realtime collapses STT+LLM+TTS into one model — capture it so the
@@ -262,7 +315,7 @@ def create_metrics_accumulator(
     elif provider == "elevenlabs_convai":
         stt_name = "elevenlabs"
         tts_name = "elevenlabs"
-    if provider == "openai_realtime":
+    if provider in ("openai_realtime", "openai_realtime_2"):
         llm_name = "openai"
     elif provider == "elevenlabs_convai":
         llm_name = "elevenlabs"
@@ -744,6 +797,7 @@ def __init__(
         audio_format: str = "pcm16",
         input_transcode: str | None = None,
         speech_events=None,
+        pop_prewarmed_connections=None,
     ) -> None:
         super().__init__(
             agent=agent,
@@ -763,6 +817,11 @@ def __init__(
         self._transfer_fn = transfer_fn
         self._hangup_fn = hangup_fn
         self._audio_format = audio_format
+        # Callback supplied by the telephony adapter so we can adopt a
+        # Realtime WS that ``Patter._park_provider_connections`` opened
+        # during the ringing window. ``None`` skips adoption — we fall
+        # back to a cold ``connect()``.
+        self._pop_prewarmed_connections = pop_prewarmed_connections
         # OpenAI Realtime API uses a single codec for both input and output
         # (``audio_format`` becomes both ``input_audio_format`` and
         # ``output_audio_format`` in the session). When the telephony leg
@@ -902,10 +961,20 @@ async def _emit_tool_event(
 
     async def start(self) -> None:
         """Connect to OpenAI Realtime, register tools, and begin event forwarding."""
-        from getpatter.providers.openai_realtime import (
-            OpenAIRealtimeAdapter,  # type: ignore[import]
+        # Both ``openai_realtime`` and ``openai_realtime_2`` engines now
+        # route through the GA-compatible ``OpenAIRealtime2Adapter`` —
+        # OpenAI deprecated the Beta Realtime API on 2026-05, returning
+        # `invalid_model` to the legacy ``session.update`` shape and the
+        # ``OpenAI-Beta: realtime=v1`` header. Only the default model
+        # string differs between the two engines (mini vs flagship);
+        # everything else (session shape, MIME types, event names) is
+        # identical and lives in the GA adapter.
+        from getpatter.providers.openai_realtime_2 import (  # type: ignore[import]
+            OpenAIRealtime2Adapter,
         )
 
+        _adapter_cls = OpenAIRealtime2Adapter
+
         # Resolve MCP servers BEFORE the adapter is built so the
         # discovered tools are visible in the first ``session.update``.
         # Failures are logged but not fatal — a dead MCP server should
@@ -947,9 +1016,87 @@ async def start(self) -> None:
         )
         if transcription_model is not None:
             adapter_kwargs["input_audio_transcription_model"] = transcription_model
-        self._adapter = OpenAIRealtimeAdapter(**adapter_kwargs)
-        await self._adapter.connect()
-        logger.debug("OpenAI Realtime connected")
+        self._adapter = _adapter_cls(**adapter_kwargs)
+
+        # Try to adopt a Realtime WebSocket parked during the ringing
+        # window. When present we skip the cold ``connect()`` — the
+        # parked socket has already paid the TCP + TLS + HTTP-101 +
+        # ``session.update`` ack round-trip (~300-600 ms saved on first
+        # audible word). Fall back transparently on cache miss / dead
+        # socket / adapter missing ``adopt_websocket``.
+        parked: dict | None = None
+        pop_cb = self._pop_prewarmed_connections
+        if pop_cb is None:
+            logger.info(
+                "[PREWARM] callId=%s provider=openai_realtime SKIPPED adoption: "
+                "pop_prewarmed_connections callback not wired",
+                self.call_id,
+            )
+        else:
+            try:
+                parked = pop_cb(self.call_id)
+            except Exception as exc:  # noqa: BLE001 - best-effort
+                logger.info(
+                    "[PREWARM] callId=%s provider=openai_realtime FAILED pop: %s",
+                    self.call_id,
+                    exc,
+                )
+                parked = None
+            if parked is None:
+                logger.info(
+                    "[PREWARM] callId=%s provider=openai_realtime no slot present "
+                    "(cache miss / parked task still in flight)",
+                    self.call_id,
+                )
+        parked_realtime_ws = (parked or {}).get("openai_realtime")
+        adopt_ok = False
+        if parked_realtime_ws is not None:
+            adopt = getattr(self._adapter, "adopt_websocket", None)
+            # Liveness check robust across ``websockets`` versions. The
+            # legacy client exposes a ``closed`` bool, the new asyncio
+            # client exposes ``state`` (websockets.protocol.State enum)
+            # and ``close_code`` (None while OPEN). Pre-2025-04 we used
+            # ``getattr(ws, "closed", True)`` which defaulted to True
+            # when the attribute didn't exist — causing the GA-shape
+            # parked WS to be treated as dead and forcibly closed
+            # right before adoption.
+            ws_alive = _is_parked_ws_alive(parked_realtime_ws)
+            ws_closed = not ws_alive
+            if not callable(adopt):
+                logger.info(
+                    "[PREWARM] callId=%s provider=openai_realtime adopter missing "
+                    "adopt_websocket method",
+                    self.call_id,
+                )
+            elif not ws_alive:
+                logger.info(
+                    "[PREWARM] callId=%s provider=openai_realtime parked WS died "
+                    "between park and adopt (closed=%s)",
+                    self.call_id,
+                    ws_closed,
+                )
+            else:
+                try:
+                    adopt(parked_realtime_ws)
+                    logger.info(
+                        "[CONNECT] callId=%s provider=openai_realtime source=adopted ms=0",
+                        self.call_id,
+                    )
+                    adopt_ok = True
+                except Exception as exc:  # noqa: BLE001
+                    logger.info(
+                        "[PREWARM] callId=%s provider=openai_realtime adopt FAILED: %s",
+                        self.call_id,
+                        exc,
+                    )
+            if not adopt_ok:
+                try:
+                    await parked_realtime_ws.close()
+                except Exception:
+                    pass
+        if not adopt_ok:
+            await self._adapter.connect()
+        logger.debug("OpenAI Realtime connected (adapter=%s)", _adapter_cls.__name__)
 
         if self.agent.first_message:
             # Start measuring latency for the firstMessage turn (sendText →
@@ -1020,6 +1167,24 @@ async def _forward_events(self) -> None:
 
                 elif ev_type == "transcript_input":
                     logger.debug("User: %s", sanitize_log_value(ev_data))
+                    # Filter known Whisper-on-silence hallucinations. The
+                    # Realtime API's input_audio_transcription is Whisper,
+                    # and Whisper's training-set bias means PSTN echo /
+                    # silence segments often transcribe as
+                    # "Thank you for watching." / "Thanks for watching." /
+                    # "[music]" etc. — feeding those back to the LLM
+                    # produces phantom user turns the caller never spoke.
+                    _ev_stripped = (
+                        (ev_data or "").strip().rstrip(".,!?;: ").strip().lower()
+                    )
+                    if _ev_stripped in _STT_HALLUCINATIONS or not _ev_stripped:
+                        logger.info(
+                            "Realtime transcript_input dropped (likely "
+                            "Whisper hallucination on silence/echo): %r",
+                            sanitize_log_value((ev_data or "")[:60]),
+                        )
+                        self._user_transcript_pending = False
+                        continue
                     if self.metrics is not None:
                         # Fallback: start turn here if speech_stopped was missed
                         # (server VAD disabled or custom config).
@@ -1048,6 +1213,20 @@ async def _forward_events(self) -> None:
                                 "history": list(self.conversation_history),
                             }
                         )
+                    # Drive the assistant response. The session config sets
+                    # ``turn_detection.create_response: false`` so OpenAI's
+                    # server VAD no longer auto-creates a response on every
+                    # ``input_audio_buffer.committed`` — that path triggers
+                    # phantom assistant turns on Whisper-hallucinated input
+                    # ("Thank you for watching." etc.). Patter now requests
+                    # the response explicitly here, AFTER the
+                    # hallucination filter accepts the transcript above.
+                    request_response = getattr(self._adapter, "request_response", None)
+                    if callable(request_response):
+                        try:
+                            await request_response()
+                        except Exception as exc:  # noqa: BLE001
+                            logger.debug("Realtime request_response failed: %s", exc)
                     # User transcript landed — flush any assistant turn
                     # that was buffered waiting for it.
                     self._user_transcript_pending = False
@@ -1084,6 +1263,33 @@ async def _forward_events(self) -> None:
                             current_agent_text += response_text
 
                 elif ev_type == "speech_started":
+                    # Gate the cancel/flush path with an anti-flicker window
+                    # similar to the pipeline mode. OpenAI's server VAD
+                    # fires ``speech_started`` on echo of the agent's own
+                    # audio in PSTN no-AEC scenarios (carrier loopback
+                    # feeds our outbound mulaw back into the input buffer).
+                    # Without this gate every phantom ``speech_started``
+                    # cancels the response — most visibly, the
+                    # firstMessage gets truncated mid-sentence.
+                    #
+                    # ``OpenAIRealtimeStreamHandler`` doesn't carry the
+                    # full pipeline TTS-tracking state (no
+                    # ``_is_speaking`` / ``_first_audio_sent_at``), so
+                    # we use the adapter's own response-tracking
+                    # attributes as a proxy.
+                    response_started_at = getattr(
+                        self._adapter,
+                        "_current_response_first_audio_at",
+                        None,
+                    )
+                    if response_started_at is not None:
+                        elapsed = time.monotonic() - response_started_at
+                        if elapsed < MIN_AGENT_SPEAKING_S_BEFORE_BARGE_IN_NO_AEC:
+                            logger.info(
+                                "Realtime barge-in suppressed (response < gate, %.2fs)",
+                                elapsed,
+                            )
+                            continue
                     await self.audio_sender.send_clear()
                     await self._adapter.cancel_response()
                     if self.metrics is not None:
@@ -1814,6 +2020,13 @@ def __init__(
         # generic ``audio_*`` marks the Realtime path sends so the two paths
         # can coexist without name collisions.
         self._first_message_mark_counter: int = 0
+        # Cached result of ``_is_tts_output_format_native_for_carrier()``
+        # — settled once at ``start()`` time after ``set_telephony_carrier``
+        # has run on the TTS adapter. ``True`` means
+        # ``_encode_pipeline_audio`` can take the bypass path (raw bytes
+        # → base64, no resample/encode). Parity with TS
+        # ``StreamHandler.ttsOutputFormatNativeForCarrier``.
+        self._tts_output_format_native_for_carrier: bool = False
 
     async def start(self) -> None:
         """Initialize STT/TTS providers, hooks, and start the STT receive loop."""
@@ -1862,6 +2075,25 @@ async def start(self) -> None:
                     "TTS set_telephony_carrier failed; using construction-time format",
                     exc_info=True,
                 )
+        # Re-evaluate after set_telephony_carrier so the _encode_pipeline_audio
+        # fast path is enabled for the current carrier when the adapter
+        # auto-flipped (or the user constructed with a native format).
+        # Parity with TS ``StreamHandler.ttsOutputFormatNativeForCarrier``.
+        self._tts_output_format_native_for_carrier = (
+            self._is_tts_output_format_native_for_carrier()
+        )
+        if self._tts_output_format_native_for_carrier:
+            logger.debug(
+                "TTS outputFormat matches %s wire codec — bypassing client-side transcode",
+                "twilio" if self._for_twilio else "telnyx",
+            )
+            # Flip the audio sender into pass-through mode so it stops
+            # transcoding (16 kHz PCM → mulaw) bytes that are already in
+            # the carrier's wire format. Mirrors the ConvAI handler's
+            # ``_native_mulaw_8k`` fast-path and TS ``encodePipelineAudio``
+            # bypass. Parity with TS ``StreamHandler.ttsOutputFormatNativeForCarrier``.
+            if hasattr(self.audio_sender, "_input_is_mulaw_8k"):
+                self.audio_sender._input_is_mulaw_8k = True  # type: ignore[attr-defined]
 
         if self._stt is None:
             logger.warning("Pipeline mode: no STT configured")
@@ -2696,6 +2928,22 @@ async def _do_cancel_for_barge_in(self, transcript_text: str) -> None:
             cancel_event = getattr(self, "_llm_cancel_event", None)
             if cancel_event is not None:
                 cancel_event.set()
+            # Force-close any in-flight TTS streaming socket. Without this,
+            # the firstMessage live ``synthesize`` path (used when the prewarm
+            # accumulator hadn't completed before pickup) would block on its
+            # inner ``await ws.recv()`` for up to ``frame_timeout`` (30 s) —
+            # ``_init_pipeline`` would never return, the STT ``on_transcript``
+            # callback would never register, and every subsequent user turn
+            # would be silently dropped. Provider-duck-typed: adapters that
+            # don't expose ``cancel_active_stream`` are no-ops here.
+            # Parity with TS ``StreamHandler.cancelSpeaking``.
+            _tts = getattr(self, "_tts", None)
+            _cancel_fn = getattr(_tts, "cancel_active_stream", None)
+            if callable(_cancel_fn):
+                try:
+                    _cancel_fn()
+                except Exception as _exc:
+                    logger.debug("TTS cancel_active_stream raised: %s", _exc)
             try:
                 await self.audio_sender.send_clear()
             except Exception as exc:
@@ -3438,6 +3686,28 @@ async def _flush_inbound_audio_ring(self) -> None:
             replayed * 20,
         )
 
+    def _is_tts_output_format_native_for_carrier(self) -> bool:
+        """Return True when the TTS adapter's output_format is already in the
+        carrier's wire codec — meaning no client-side resample/transcode is
+        needed in ``TwilioAudioSender.send_audio``.
+
+        Twilio expects ``ulaw_8000``; Telnyx expects ``pcm_16000``. Anything
+        else goes through the normal resample-and-encode path.
+
+        Parity with TS ``StreamHandler.isTtsOutputFormatNativeForCarrier``.
+        """
+        if self._tts is None:
+            return False
+        fmt = getattr(self._tts, "output_format", None)
+        if not isinstance(fmt, str):
+            return False
+        carrier = "twilio" if self._for_twilio else "telnyx"
+        if carrier == "twilio":
+            return fmt == "ulaw_8000"
+        if carrier == "telnyx":
+            return fmt == "pcm_16000"
+        return False
+
     # 40 ms @ 16 kHz mono PCM16 = 1280 bytes. Sized to mirror the smallest
     # live-TTS chunk boundary so cancel granularity (mark/clear bookkeeping)
     # is identical regardless of whether the firstMessage came from the
@@ -3455,6 +3725,13 @@ async def _flush_inbound_audio_ring(self) -> None:
     # deadlock window when a carrier (or a test double) never echoes —
     # playout may glitch by one chunk on timeout but the call stays alive.
     _MARK_AWAIT_TIMEOUT_S: float = 0.5
+    # Bytes-per-millisecond for a 16 kHz PCM16 mono stream. Used by
+    # ``_send_paced_first_message_bytes`` to translate chunk size into a
+    # playout-duration sleep so we never deliver faster than the carrier
+    # can decode + play out (which manifested as severe crackling on the
+    # HTTP-TTS path with client-side resampling). 16000 samples/sec × 2
+    # bytes/sample = 32 bytes/ms.
+    _PCM16_16K_BYTES_PER_MS: int = 32
 
     def _drain_pending_marks(self) -> None:
         """Resolve every entry in ``_pending_marks`` and empty the FIFO.
@@ -3584,20 +3861,18 @@ async def _send_paced_first_message_bytes(self, bytes_: bytes) -> bool:
             self._drain_pending_marks()
         self._first_message_mark_counter = 0
         first_chunk_sent = False
-        # Burst delivery: send all chunks back-to-back, exactly like the live
-        # TTS path (synthesize_sentence / first_message live fallback).
-        # Twilio explicitly accepts "media messages of any size" — frames
-        # are "buffered and played in the order received" by the carrier-
-        # side media server, which is the source of truth for the 8 kHz
-        # playout clock. Earlier revisions paced each chunk by
-        # ``playout_ms`` via ``asyncio.sleep`` to "throttle to the playout
-        # rate", but the cumulative ``_wait_for_mark_window`` wait pushed
-        # effective delivery BELOW Twilio's playout rate on long intros
-        # (the prewarm cache is typically 2-4 s of audio), producing
-        # periodic carrier-side buffer underruns audible to the caller as
-        # slow, gravelly, intermittent playback. Marks are still emitted
-        # per chunk so a barge-in's ``send_clear`` still has fine-grained
-        # granularity to cut.
+        # Once the mark window is first filled we switch to playout-time
+        # pacing to prevent batch-ACK bursts from draining the carrier
+        # jitter buffer. Before that we send in burst so the first
+        # ``_FIRST_MESSAGE_MARK_WINDOW`` chunks pre-fill the PSTN jitter
+        # buffer (250–1500 ms). The earlier experiment of pure-burst
+        # delivery (no per-chunk sleep) produced severe carrier-side
+        # crackling on the HTTP TTS path (pcm_16000 → mulaw_8000 client-
+        # side resample) because the burst arrived at Twilio faster than
+        # its media-stream decoder could process — even though the docs
+        # say "of any size". The pace-by-playout path is the robust
+        # default; mark back-pressure remains as an extra guard.
+        initial_fill_complete = False
         for i in range(0, len(bytes_), self._PREWARM_CHUNK_BYTES):
             if not self._is_speaking:
                 break  # barge-in mid-buffer — stop now
@@ -3611,11 +3886,44 @@ async def _send_paced_first_message_bytes(self, bytes_: bytes) -> bool:
                 self._aec.push_far_end(chunk)
             await self.audio_sender.send_audio(chunk)
             self._mark_first_audio_sent()
-            await self._send_mark_awaitable()
+            mark_awaitable = await self._send_mark_awaitable()
+            if (
+                not initial_fill_complete
+                and len(self._pending_marks) >= self._FIRST_MESSAGE_MARK_WINDOW
+            ):
+                initial_fill_complete = True
+            # Telnyx has no mark concept — always pace by playout time.
+            # Twilio: the first ``_FIRST_MESSAGE_MARK_WINDOW`` chunks go
+            # out in burst to pre-fill the PSTN jitter buffer, then
+            # playout-time pacing kicks in (via the sticky
+            # ``initial_fill_complete`` flag) to prevent batch-ACK bursts
+            # from draining the buffer → crackling.
+            if mark_awaitable is None or initial_fill_complete:
+                playout_ms = max(
+                    1,
+                    len(chunk) // self._PCM16_16K_BYTES_PER_MS,
+                )
+                await asyncio.sleep(playout_ms / 1000.0)
         return first_chunk_sent
 
     async def cleanup(self) -> None:
         """Cancel the STT loop and close STT/TTS/remote-message adapters."""
+        # Abort any in-flight LLM stream and close any in-flight TTS WS so
+        # the run_pipeline_llm / synthesize awaits unblock immediately
+        # instead of waiting up to 30 s for their own watchdog timers.
+        # Without this, the carrier's stop event ends the call but a
+        # pending TTS WS frame-wait fires a stale "LLM loop error" /
+        # "TTS streaming error" log line tens of seconds later. Parity
+        # with TS ``StreamHandler.handleStop`` / ``handleWsClose``.
+        cancel_event = getattr(self, "_llm_cancel_event", None)
+        if cancel_event is not None:
+            cancel_event.set()
+        _tts_cancel = getattr(getattr(self, "_tts", None), "cancel_active_stream", None)
+        if callable(_tts_cancel):
+            try:
+                _tts_cancel()
+            except Exception:
+                pass
         # Drop any pending barge-in timeout BEFORE we tear down metrics /
         # adapters. Without this, a call that ends while a barge-in is
         # pending leaves an asyncio.Task scheduled to fire
diff --git a/libraries/python/getpatter/telephony/telnyx.py b/libraries/python/getpatter/telephony/telnyx.py
index 2d7dc8f1..4f9b5a37 100644
--- a/libraries/python/getpatter/telephony/telnyx.py
+++ b/libraries/python/getpatter/telephony/telnyx.py
@@ -402,8 +402,9 @@ async def telnyx_stream_bridge(
                 # 8 kHz to match the `streaming_start` PCMU bidirectional
                 # stream — forward bytes as-is. Pipeline and ConvAI still
                 # produce PCM16 that Telnyx accepts when L16 is negotiated.
-                _input_is_mulaw = (
-                    getattr(agent, "provider", "openai_realtime") == "openai_realtime"
+                _input_is_mulaw = getattr(agent, "provider", "openai_realtime") in (
+                    "openai_realtime",
+                    "openai_realtime_2",
                 )
                 audio_sender = TelnyxAudioSender(
                     websocket, input_is_mulaw_8k=_input_is_mulaw
@@ -623,6 +624,7 @@ async def _telnyx_stop_recording() -> None:
                         # 20 ms → PCMU 8 kHz. OpenAI Realtime with this
                         # codec forwards bytes pass-through on both legs.
                         audio_format="g711_ulaw",
+                        pop_prewarmed_connections=pop_prewarmed_connections,
                     )
 
                 # Inherit patter.side from the parent Patter instance so all
diff --git a/libraries/python/getpatter/telephony/twilio.py b/libraries/python/getpatter/telephony/twilio.py
index 4b8f34c3..075f2508 100644
--- a/libraries/python/getpatter/telephony/twilio.py
+++ b/libraries/python/getpatter/telephony/twilio.py
@@ -9,7 +9,6 @@
 import re
 import time
 from collections import deque
-from urllib.parse import quote
 
 from getpatter.observability.attributes import patter_call_scope
 from getpatter.stream_handler import (
@@ -91,11 +90,15 @@ def twilio_webhook_handler(
     # Lazy import — provider adapter may be created by the parallel agent
     from getpatter.providers.twilio_adapter import TwilioAdapter  # type: ignore[import]
 
-    stream_url = (
-        f"wss://{webhook_base_url}/ws/stream/{call_sid}"
-        f"?caller={quote(caller)}&callee={quote(callee)}"
+    # Twilio Media Streams strips the query string from ``<Stream url=...>``
+    # before opening the WS, so caller/callee must travel as
+    # ``<Parameter>`` children — the bridge then reads them from
+    # ``start.customParameters`` on the WS ``start`` frame.
+    stream_url = f"wss://{webhook_base_url}/ws/stream/{call_sid}"
+    return TwilioAdapter.generate_stream_twiml(
+        stream_url,
+        parameters={"caller": caller, "callee": callee},
     )
-    return TwilioAdapter.generate_stream_twiml(stream_url)
 
 
 # ---------------------------------------------------------------------------
@@ -317,6 +320,15 @@ async def twilio_stream_bridge(
                 start_data = data.get("start", {})
                 call_sid_actual = start_data.get("callSid", "")
                 custom_params: dict = start_data.get("customParameters", {})
+                # Inbound path: caller / callee travel via TwiML
+                # ``<Parameter>`` tags (Twilio strips query params from
+                # ``<Stream url=...>``), so the WS-level query-param read
+                # above lands empty. Fall back to ``customParameters`` on
+                # the ``start`` frame.
+                if not caller:
+                    caller = custom_params.get("caller", "") or caller
+                if not callee:
+                    callee = custom_params.get("callee", "") or callee
 
                 # Single INFO line per call-start — full context in one place.
                 _mode = (
@@ -405,7 +417,7 @@ async def twilio_stream_bridge(
                 # to emit g711_ulaw @ 8 kHz directly (see below), so for that
                 # provider we skip the built-in PCM→mulaw transcoding path.
                 # Pipeline / ConvAI still produce PCM16 @ 16 kHz.
-                _input_is_mulaw = provider == "openai_realtime"
+                _input_is_mulaw = provider in ("openai_realtime", "openai_realtime_2")
                 audio_sender = TwilioAudioSender(
                     websocket, stream_sid, input_is_mulaw_8k=_input_is_mulaw
                 )
@@ -516,6 +528,7 @@ async def _twilio_hangup():
                         # produces a deep, slurred voice.
                         audio_format="g711_ulaw",
                         speech_events=speech_events,
+                        pop_prewarmed_connections=pop_prewarmed_connections,
                     )
 
                 # Inherit patter.side from the parent Patter instance so all
diff --git a/libraries/python/getpatter/tts/elevenlabs.py b/libraries/python/getpatter/tts/elevenlabs.py
index 2a13f3a3..d4e5957f 100644
--- a/libraries/python/getpatter/tts/elevenlabs.py
+++ b/libraries/python/getpatter/tts/elevenlabs.py
@@ -57,7 +57,7 @@ def __init__(
         *,
         voice_id: str = "EXAVITQu4vr4xnSDxMaL",
         model_id: str = "eleven_flash_v2_5",
-        output_format: str = "pcm_16000",
+        output_format: str | None = None,
         language_code: str | None = None,
         voice_settings: dict | None = None,
         auto_mode: bool = True,
@@ -68,13 +68,23 @@ def __init__(
         # (chunking is driven by ``chunk_length_schedule`` on that path).
         chunk_size: int | None = None,
     ) -> None:
+        # CRITICAL: only forward ``output_format`` when the caller actually
+        # passed one.  Forwarding a fallback (``"pcm_16000"``) would flip the
+        # parent's ``_output_format_explicit`` flag to ``True`` and disable the
+        # carrier-aware auto-flip in ``set_telephony_carrier`` — the prewarm
+        # path on Twilio would keep emitting PCM16 16 kHz and pay the
+        # client-side resample/encode that produced the "audio a scatti"
+        # user report.  Leaving the field out lets the parent default to
+        # PCM_16000 with the explicit-flag cleared so the carrier hook can
+        # flip to ulaw_8000 at call time.  Parity with TS ``tts/elevenlabs.ts``.
         kwargs: dict = {
             "api_key": _resolve_api_key(api_key),
             "voice_id": voice_id,
             "model_id": model_id,
-            "output_format": output_format,
             "auto_mode": auto_mode,
         }
+        if output_format is not None:
+            kwargs["output_format"] = output_format
         if voice_settings is not None:
             kwargs["voice_settings"] = voice_settings
         if language_code is not None:
diff --git a/libraries/python/tests/test_new_features.py b/libraries/python/tests/test_new_features.py
index b3a9967c..c3ebf3e6 100644
--- a/libraries/python/tests/test_new_features.py
+++ b/libraries/python/tests/test_new_features.py
@@ -8,7 +8,7 @@
 
 import pytest
 
-from getpatter import OpenAIRealtime, Patter, Twilio, tool
+from getpatter import OpenAIRealtime, Patter, Twilio
 from getpatter.models import Agent
 
 
@@ -24,6 +24,8 @@ def _local_phone(webhook_url="abc.ngrok.io"):
 def _local_agent(phone: Patter) -> Agent:
     """Build an OpenAI Realtime agent for the tests below."""
     return phone.agent(engine=OpenAIRealtime(api_key="sk_test"), system_prompt="Test")
+
+
 from getpatter.telephony.twilio import _TRANSFER_CALL_TOOL, _END_CALL_TOOL
 
 
@@ -65,11 +67,20 @@ def test_transfer_call_tool_injected_when_no_agent_tools():
 
 def test_transfer_call_tool_injected_alongside_agent_tools():
     """transfer_call is appended after agent-defined tools."""
-    user_tool = {"name": "lookup", "description": "Look up", "parameters": {}, "webhook_url": "https://x.com"}
+    user_tool = {
+        "name": "lookup",
+        "description": "Look up",
+        "parameters": {},
+        "webhook_url": "https://x.com",
+    }
     agent = Agent(system_prompt="Test", tools=[user_tool])
     # Simulate what the handler does
     agent_tools = [
-        {"name": t["name"], "description": t.get("description", ""), "parameters": t.get("parameters", {})}
+        {
+            "name": t["name"],
+            "description": t.get("description", ""),
+            "parameters": t.get("parameters", {}),
+        }
         for t in (agent.tools or [])
     ]
     openai_tools = agent_tools + [_TRANSFER_CALL_TOOL]
@@ -127,9 +138,8 @@ def test_serve_passes_recording_to_server():
         MockServer.return_value = mock_instance
 
         import asyncio
-        asyncio.run(
-            phone.serve(agent, recording=True)
-        )
+
+        asyncio.run(phone.serve(agent, recording=True))
 
         MockServer.assert_called_once()
         call_args = MockServer.call_args
@@ -167,6 +177,7 @@ def test_call_accepts_machine_detection_param():
     agent = _local_agent(phone)
     # Verify the parameter is accepted by the function signature
     import inspect
+
     sig = inspect.signature(phone.call)
     assert "machine_detection" in sig.parameters
 
@@ -182,16 +193,18 @@ def test_machine_detection_adds_params_to_twilio_call():
         MockAdapter.return_value = mock_instance
 
         import asyncio
-        asyncio.run(
-            phone.call(to="+39123456789", agent=agent, machine_detection=True)
-        )
+
+        asyncio.run(phone.call(to="+39123456789", agent=agent, machine_detection=True))
 
         mock_instance.initiate_call.assert_called_once()
         _, kwargs = mock_instance.initiate_call.call_args
         extra = kwargs.get("extra_params", {})
-        assert extra.get("MachineDetection") == "DetectMessageEnd"
-        assert extra.get("AsyncAmd") == "true"
-        assert "AsyncAmdStatusCallback" in extra
+        # twilio-python's ``calls.create(**kwargs)`` accepts snake_case
+        # only — PascalCase raises ``TypeError: unexpected keyword
+        # argument``. Defaults must therefore be snake_case at the source.
+        assert extra.get("machine_detection") == "DetectMessageEnd"
+        assert extra.get("async_amd") == "true"
+        assert "async_amd_status_callback" in extra
 
 
 def test_amd_callback_url_uses_webhook_host():
@@ -205,13 +218,12 @@ def test_amd_callback_url_uses_webhook_host():
         MockAdapter.return_value = mock_instance
 
         import asyncio
-        asyncio.run(
-            phone.call(to="+39123456789", agent=agent, machine_detection=True)
-        )
+
+        asyncio.run(phone.call(to="+39123456789", agent=agent, machine_detection=True))
 
         _, kwargs = mock_instance.initiate_call.call_args
         extra = kwargs.get("extra_params", {})
-        assert "my.ngrok.io" in extra.get("AsyncAmdStatusCallback", "")
+        assert "my.ngrok.io" in extra.get("async_amd_status_callback", "")
 
 
 def test_amd_webhook_endpoint_exists():
@@ -244,17 +256,18 @@ def test_machine_detection_false_no_extra_params():
         MockAdapter.return_value = mock_instance
 
         import asyncio
-        asyncio.run(
-            phone.call(to="+39123456789", agent=agent, machine_detection=False)
-        )
+
+        asyncio.run(phone.call(to="+39123456789", agent=agent, machine_detection=False))
 
         _, kwargs = mock_instance.initiate_call.call_args
         extra = kwargs.get("extra_params", {})
         # AMD-specific params must be absent when machine_detection=False.
-        assert "MachineDetection" not in extra
-        assert "AsyncAmd" not in extra
-        # StatusCallback is always wired (BUG #06 — dashboard sees failures).
-        assert extra.get("StatusCallback", "").endswith("/webhooks/twilio/status")
+        assert "machine_detection" not in extra
+        assert "async_amd" not in extra
+        # status_callback is always wired (BUG #06 — dashboard sees failures).
+        # Snake_case is mandatory: twilio-python's ``calls.create``
+        # rejects PascalCase with ``TypeError: unexpected keyword``.
+        assert extra.get("status_callback", "").endswith("/webhooks/twilio/status")
 
 
 # ---------------------------------------------------------------------------
@@ -280,10 +293,19 @@ def test_end_call_tool_reason_is_optional():
 
 def test_end_call_tool_injected_in_openai_tools():
     """_END_CALL_TOOL is injected alongside _TRANSFER_CALL_TOOL in OpenAI tool list."""
-    user_tool = {"name": "lookup", "description": "Look up", "parameters": {}, "webhook_url": "https://x.com"}
+    user_tool = {
+        "name": "lookup",
+        "description": "Look up",
+        "parameters": {},
+        "webhook_url": "https://x.com",
+    }
     agent = Agent(system_prompt="Test", tools=[user_tool])
     agent_tools = [
-        {"name": t["name"], "description": t.get("description", ""), "parameters": t.get("parameters", {})}
+        {
+            "name": t["name"],
+            "description": t.get("description", ""),
+            "parameters": t.get("parameters", {}),
+        }
         for t in (agent.tools or [])
     ]
     openai_tools = agent_tools + [_TRANSFER_CALL_TOOL, _END_CALL_TOOL]
@@ -308,6 +330,7 @@ def test_end_call_tool_injected_with_no_agent_tools():
 def test_voicemail_message_param_on_call():
     """Patter.call() accepts voicemail_message parameter."""
     import inspect
+
     phone = _local_phone()
     sig = inspect.signature(phone.call)
     assert "voicemail_message" in sig.parameters
@@ -316,6 +339,7 @@ def test_voicemail_message_param_on_call():
 def test_voicemail_message_param_on_serve():
     """Patter.serve() accepts voicemail_message parameter."""
     import inspect
+
     phone = _local_phone()
     sig = inspect.signature(phone.serve)
     assert "voicemail_message" in sig.parameters
@@ -334,7 +358,9 @@ def test_embedded_server_accepts_voicemail_message():
         webhook_url="abc.ngrok.io",
     )
     agent = Agent(system_prompt="Test")
-    server = EmbeddedServer(config=config, agent=agent, voicemail_message="Please call back.")
+    server = EmbeddedServer(
+        config=config, agent=agent, voicemail_message="Please call back."
+    )
     assert server.voicemail_message == "Please call back."
 
 
@@ -366,9 +392,8 @@ def test_serve_passes_voicemail_message_to_server():
         MockServer.return_value = mock_instance
 
         import asyncio
-        asyncio.run(
-            phone.serve(agent, voicemail_message="Hi, please call back.")
-        )
+
+        asyncio.run(phone.serve(agent, voicemail_message="Hi, please call back."))
 
         MockServer.assert_called_once()
         call_kwargs = MockServer.call_args.kwargs
@@ -480,7 +505,9 @@ def test_resolve_variables_replaces_placeholders():
     """_resolve_variables substitutes {key} with corresponding values."""
     from getpatter.telephony.twilio import _resolve_variables
 
-    result = _resolve_variables("Hello {name}, order #{order_id}!", {"name": "Mario", "order_id": "42"})
+    result = _resolve_variables(
+        "Hello {name}, order #{order_id}!", {"name": "Mario", "order_id": "42"}
+    )
     assert result == "Hello Mario, order #42!"
 
 
@@ -530,11 +557,13 @@ async def on_message(data):
     ws.query_params = {"caller": "+1", "callee": "+2"}
 
     events = [
-        json.dumps({
-            "event": "start",
-            "streamSid": "SID",
-            "start": {"callSid": "CA1", "customParameters": {}},
-        }),
+        json.dumps(
+            {
+                "event": "start",
+                "streamSid": "SID",
+                "start": {"callSid": "CA1", "customParameters": {}},
+            }
+        ),
         json.dumps({"event": "stop"}),
     ]
     ws.receive_text = AsyncMock(side_effect=events)
@@ -555,9 +584,12 @@ async def fake_receive():
 
     mock_stt.receive_transcripts = fake_receive
 
-    with patch("getpatter.telephony.twilio._create_stt_from_config", return_value=None), \
-         patch("getpatter.telephony.twilio._create_tts_from_config", return_value=None):
+    with (
+        patch("getpatter.telephony.twilio._create_stt_from_config", return_value=None),
+        patch("getpatter.telephony.twilio._create_tts_from_config", return_value=None),
+    ):
         from getpatter.telephony.twilio import twilio_stream_bridge
+
         try:
             await asyncio.wait_for(
                 twilio_stream_bridge(
@@ -597,11 +629,13 @@ async def on_call_end(data):
     ws.query_params = {"caller": "+1", "callee": "+2"}
 
     events = [
-        json.dumps({
-            "event": "start",
-            "streamSid": "SID",
-            "start": {"callSid": "CA1", "customParameters": {}},
-        }),
+        json.dumps(
+            {
+                "event": "start",
+                "streamSid": "SID",
+                "start": {"callSid": "CA1", "customParameters": {}},
+            }
+        ),
         json.dumps({"event": "stop"}),
     ]
     ws.receive_text = AsyncMock(side_effect=events)
@@ -620,8 +654,12 @@ async def fake_receive_events():
 
     mock_adapter.receive_events = fake_receive_events
 
-    with patch("getpatter.providers.openai_realtime.OpenAIRealtimeAdapter", return_value=mock_adapter):
+    with patch(
+        "getpatter.providers.openai_realtime.OpenAIRealtimeAdapter",
+        return_value=mock_adapter,
+    ):
         from getpatter.telephony.twilio import twilio_stream_bridge
+
         try:
             await asyncio.wait_for(
                 twilio_stream_bridge(
diff --git a/libraries/python/tests/test_prewarm.py b/libraries/python/tests/test_prewarm.py
index 4d016bf5..ee013f03 100644
--- a/libraries/python/tests/test_prewarm.py
+++ b/libraries/python/tests/test_prewarm.py
@@ -146,17 +146,17 @@ async def test_prewarm_first_message_opt_out() -> None:
     assert agent.prewarm_first_message is False
 
 
-async def test_factory_defaults_prewarm_first_message_true_in_pipeline_mode() -> None:
-    """``Patter.agent(...)`` factory auto-enables prewarm in pipeline
-    mode (since 0.6.2). Parity with the TypeScript factory in
-    ``client.ts``."""
+async def test_factory_defaults_prewarm_first_message_false_in_pipeline_mode() -> None:
+    """``Patter.agent(...)`` factory defaults prewarm_first_message to False
+    (reverted from True in 0.6.2 acceptance — opt-in only).
+    Parity with the TypeScript factory in ``client.ts``."""
     phone = _make_patter()
     stt = StubSTT()
     tts = StubTTS()
     llm = StubLLM()
     agent = phone.agent(system_prompt="hi", stt=stt, tts=tts, llm=llm)
     assert agent.provider == "pipeline"
-    assert agent.prewarm_first_message is True
+    assert agent.prewarm_first_message is False
 
 
 async def test_factory_does_not_default_prewarm_in_realtime_mode() -> None:
diff --git a/libraries/python/tests/unit/test_client_unit.py b/libraries/python/tests/unit/test_client_unit.py
index 23f317da..65cc8536 100644
--- a/libraries/python/tests/unit/test_client_unit.py
+++ b/libraries/python/tests/unit/test_client_unit.py
@@ -365,6 +365,137 @@ async def test_disconnect_is_idempotent(self) -> None:
         await client.disconnect()  # should not raise
 
 
+# ---------------------------------------------------------------------------
+# ready / tunnel_ready — serve-ready futures (parity with TS phone.ready)
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.unit
+class TestReadyFuture:
+    """phone.ready and phone.tunnel_ready — lazy futures that track serve() state."""
+
+    # --- lazy creation -------------------------------------------------------
+
+    async def test_ready_creates_future_on_first_access(self) -> None:
+        """Accessing phone.ready before serve() returns a pending Future."""
+        import asyncio
+
+        client = _local_phone()
+        fut = client.ready
+        assert isinstance(fut, asyncio.Future)
+        assert not fut.done()
+
+    async def test_tunnel_ready_creates_future_on_first_access(self) -> None:
+        """Accessing phone.tunnel_ready before serve() returns a pending Future.
+
+        Use webhook_url="" so there is no static pre-resolution — the tunnel
+        must call _resolve_tunnel_ready() before the future is done.
+        """
+        import asyncio
+
+        client = _local_phone(webhook_url="")
+        fut = client.tunnel_ready
+        assert isinstance(fut, asyncio.Future)
+        assert not fut.done()
+
+    async def test_ready_returns_same_future_on_repeated_access(self) -> None:
+        """Repeated accesses return the same Future object (idempotent)."""
+        client = _local_phone()
+        assert client.ready is client.ready
+
+    async def test_tunnel_ready_returns_same_future_on_repeated_access(self) -> None:
+        client = _local_phone(webhook_url="")
+        assert client.tunnel_ready is client.tunnel_ready
+
+    # --- resolution ----------------------------------------------------------
+
+    async def test_ready_resolves_when_server_listening(self) -> None:
+        """_resolve_ready() fulfils phone.ready with the webhook hostname."""
+        client = _local_phone()
+        fut = client.ready
+        assert not fut.done()
+
+        client._resolve_ready("my-tunnel.trycloudflare.com")
+
+        assert fut.done()
+        assert await fut == "my-tunnel.trycloudflare.com"
+
+    async def test_tunnel_ready_resolves_when_tunnel_known(self) -> None:
+        client = _local_phone(webhook_url="")
+        fut = client.tunnel_ready
+        client._resolve_tunnel_ready("tunnel.example.com")
+
+        assert fut.done()
+        assert await fut == "tunnel.example.com"
+
+    async def test_ready_rejects_on_serve_failure(self) -> None:
+        """_reject_ready() causes phone.ready to raise the propagated error."""
+        import asyncio
+
+        client = _local_phone()
+        fut = client.ready
+
+        err = RuntimeError("port already in use")
+        client._reject_ready(err)
+
+        assert fut.done()
+        with pytest.raises(RuntimeError, match="port already in use"):
+            await asyncio.shield(fut)
+
+    # --- idempotence (safe to call resolve/reject multiple times) -----------
+
+    async def test_resolve_ready_is_idempotent(self) -> None:
+        """Calling _resolve_ready() twice does not raise FutureDoneError."""
+        client = _local_phone()
+        client._resolve_ready("host-a.com")
+        client._resolve_ready("host-b.com")  # should be a no-op, not raise
+        assert await client.ready == "host-a.com"
+
+    async def test_reject_ready_after_resolve_is_noop(self) -> None:
+        client = _local_phone()
+        client._resolve_ready("host.com")
+        client._reject_ready(RuntimeError("ignored"))  # must not raise
+        assert await client.ready == "host.com"
+
+    # --- static-webhook pre-resolution (no tunnel) --------------------------
+
+    async def test_tunnel_ready_pre_resolved_for_static_webhook(self) -> None:
+        """With an explicit webhookUrl, tunnel_ready is resolved immediately."""
+        client = _local_phone(webhook_url="static.example.com")
+        fut = client.tunnel_ready
+        assert fut.done()
+        assert fut.result() == "static.example.com"
+
+    # --- disconnect recreates the futures -----------------------------------
+
+    async def test_disconnect_recreates_ready_future(self) -> None:
+        """After disconnect(), phone.ready is a fresh pending Future.
+
+        Mirrors the TS test:
+          'recreates ready / tunnelReady so a follow-up serve() can resolve them'
+        """
+        client = _local_phone()
+        before = client.ready
+        client._resolve_ready("host.com")
+
+        await client.disconnect()
+
+        after = client.ready
+        assert after is not before
+        assert not after.done()
+
+    async def test_disconnect_recreates_tunnel_ready_future(self) -> None:
+        client = _local_phone(webhook_url="")
+        before = client.tunnel_ready
+        client._resolve_tunnel_ready("t.example.com")
+
+        await client.disconnect()
+
+        after = client.tunnel_ready
+        assert after is not before
+        assert not after.done()
+
+
 # ---------------------------------------------------------------------------
 # Module-level factories (guardrail, tool)
 # ---------------------------------------------------------------------------
diff --git a/libraries/python/tests/unit/test_stream_handler_unit.py b/libraries/python/tests/unit/test_stream_handler_unit.py
index 92f9a533..3f4aa01a 100644
--- a/libraries/python/tests/unit/test_stream_handler_unit.py
+++ b/libraries/python/tests/unit/test_stream_handler_unit.py
@@ -519,13 +519,17 @@ async def test_barge_in_fires_after_warmup_window(self) -> None:
             "barge-in must fire normally after the AEC warmup gate elapses"
         )
 
-    async def test_barge_in_fires_at_400ms_when_aec_off(self) -> None:
-        """The bug fix: on PSTN deployments AEC is OFF and the gate
-        collapses to 0.1 s anti-flicker. A user saying "stop" 400 ms
-        into the agent's turn must cancel the agent — pre-fix this was
-        silently suppressed by the hardcoded 1.0 s gate.
+    async def test_barge_in_fires_at_600ms_when_aec_off(self) -> None:
+        """On PSTN deployments AEC is OFF and the gate is
+        MIN_AGENT_SPEAKING_S_BEFORE_BARGE_IN_NO_AEC (0.5 s, bumped from
+        0.1 s in 0.6.2 acceptance to filter phantom speech_start on first
+        inbound frame). A user saying "stop" 600 ms into the agent's turn
+        must cancel the agent — just past the 0.5 s gate.
         """
-        from getpatter.stream_handler import PipelineStreamHandler
+        from getpatter.stream_handler import (
+            MIN_AGENT_SPEAKING_S_BEFORE_BARGE_IN_NO_AEC,
+            PipelineStreamHandler,
+        )
         from getpatter.providers.base import Transcript
         import time
 
@@ -536,17 +540,18 @@ async def test_barge_in_fires_at_400ms_when_aec_off(self) -> None:
         handler.audio_sender = MagicMock()
         handler.audio_sender.send_clear = AsyncMock()
         handler._llm_cancel_event = asyncio.Event()
-        # AEC OFF (PSTN default) — gate is 0.25 s.
+        # AEC OFF (PSTN default) — gate is 0.5 s.
         handler._aec = None
-        handler._speaking_started_at = time.time() - 0.4
-        handler._first_audio_sent_at = time.time() - 0.4
+        past_gate = MIN_AGENT_SPEAKING_S_BEFORE_BARGE_IN_NO_AEC + 0.1
+        handler._speaking_started_at = time.time() - past_gate
+        handler._first_audio_sent_at = time.time() - past_gate
 
         await handler._handle_barge_in(
             Transcript(text="stop", is_final=True, speech_final=True)
         )
 
         assert handler._llm_cancel_event.is_set(), (
-            "barge-in must fire on PSTN at 400 ms — past the 0.1 s anti-flicker gate"
+            "barge-in must fire on PSTN at 600 ms — past the 0.5 s gate"
         )
 
     async def test_barge_in_suppressed_within_anti_flicker_when_aec_off(
diff --git a/libraries/python/tests/unit/test_twilio_adapter_snake_case_kwargs.py b/libraries/python/tests/unit/test_twilio_adapter_snake_case_kwargs.py
new file mode 100644
index 00000000..2c070188
--- /dev/null
+++ b/libraries/python/tests/unit/test_twilio_adapter_snake_case_kwargs.py
@@ -0,0 +1,321 @@
+"""Regression test for the PascalCase → snake_case Twilio kwarg bug.
+
+The ``twilio-python`` SDK's ``client.calls.create(**kwargs)`` accepts
+**snake_case** keyword arguments and translates them internally to the
+PascalCase form Twilio's REST wire protocol expects. Passing
+PascalCase keys (``StatusCallback``, ``MachineDetection``, ``Timeout``)
+directly raises ``TypeError: unexpected keyword argument`` and crashes
+every outbound call.
+
+This file locks in two behaviours:
+
+1. ``getpatter.client.Patter.call`` builds ``extra_params`` for the
+   Twilio adapter using snake_case keys only (fix at source).
+2. ``TwilioAdapter.initiate_call`` invokes the underlying
+   ``calls.create`` with snake_case kwargs even if a caller passes
+   PascalCase (defensive normalisation in the adapter).
+
+Both behaviours are exercised end-to-end against the real adapter
+with a real ``TwilioClient`` whose ``.calls.create`` raises ``TypeError``
+on PascalCase — mirroring the production failure mode.
+"""
+
+from __future__ import annotations
+
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from getpatter.client import Patter
+from getpatter.local_config import LocalConfig
+from getpatter.providers.twilio_adapter import TwilioAdapter, _to_snake_case
+
+from tests.conftest import make_agent
+
+
+# ---------------------------------------------------------------------------
+# Helper: a ``calls.create`` stand-in that enforces snake_case kwargs.
+# ---------------------------------------------------------------------------
+
+# These are the Twilio params the SDK explicitly accepts in snake_case.
+# A real ``twilio.rest.Client.calls.create(...)`` has a typed signature
+# that rejects anything else — we replicate that contract here so the
+# test fails the same way production does.
+_ACCEPTED_SNAKE_KWARGS = frozenset(
+    {
+        "to",
+        "from_",
+        "twiml",
+        "url",
+        "method",
+        "fallback_url",
+        "status_callback",
+        "status_callback_event",
+        "status_callback_method",
+        "send_digits",
+        "timeout",
+        "record",
+        "recording_channels",
+        "recording_status_callback",
+        "machine_detection",
+        "machine_detection_timeout",
+        "machine_detection_speech_threshold",
+        "machine_detection_speech_end_threshold",
+        "machine_detection_silence_timeout",
+        "async_amd",
+        "async_amd_status_callback",
+        "async_amd_status_callback_method",
+        "byoc",
+        "trunk_sid",
+    }
+)
+
+
+def _strict_create(**kwargs):
+    """Drop-in for ``twilio.rest.Client.calls.create`` that rejects
+    PascalCase keys exactly the way the real SDK does."""
+    bad = [k for k in kwargs if k not in _ACCEPTED_SNAKE_KWARGS]
+    if bad:
+        raise TypeError(f"calls.create() got an unexpected keyword argument {bad[0]!r}")
+    resp = MagicMock()
+    resp.sid = "CA" + "f" * 32
+    return resp
+
+
+# ---------------------------------------------------------------------------
+# Unit: the snake_case helper.
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.unit
+class TestToSnakeCase:
+    def test_pascal_to_snake(self) -> None:
+        assert _to_snake_case("StatusCallback") == "status_callback"
+        assert _to_snake_case("AsyncAmdStatusCallback") == "async_amd_status_callback"
+        assert _to_snake_case("MachineDetection") == "machine_detection"
+        assert _to_snake_case("Timeout") == "timeout"
+
+    def test_snake_passthrough(self) -> None:
+        assert _to_snake_case("timeout") == "timeout"
+        assert _to_snake_case("status_callback_event") == "status_callback_event"
+
+    def test_camel_to_snake(self) -> None:
+        assert _to_snake_case("asyncAmd") == "async_amd"
+
+
+# ---------------------------------------------------------------------------
+# Adapter-level: TwilioAdapter.initiate_call invokes calls.create with
+# snake_case kwargs ONLY. The strict stub raises TypeError otherwise —
+# making this an authentic test that would catch the production bug.
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.unit
+class TestAdapterPassesSnakeCaseKwargs:
+    @pytest.mark.asyncio
+    async def test_initiate_call_with_snake_case_extra_params(self) -> None:
+        # ``twilio.rest.Client.calls`` is a read-only property — we
+        # cannot patch it on a real instance. Replace the constructor
+        # so the adapter wraps a MagicMock whose ``calls.create`` is
+        # the strict validator. Everything else (TwiML construction,
+        # ``_run_sync`` threading, kwarg normalisation) runs the actual
+        # production code path.
+        with patch(
+            "getpatter.providers.twilio_adapter.TwilioClient"
+        ) as MockTwilioClient:
+            client_instance = MagicMock()
+            client_instance.calls = MagicMock()
+            client_instance.calls.create = _strict_create
+            MockTwilioClient.return_value = client_instance
+
+            adapter = TwilioAdapter(
+                account_sid="ACtest000000000000000000000000000",
+                auth_token="tok_test",
+            )
+
+            sid = await adapter.initiate_call(
+                "+15551234567",
+                "+15559876543",
+                "wss://test.ngrok.io/ws/stream/outbound",
+                extra_params={
+                    "timeout": 25,
+                    "machine_detection": "DetectMessageEnd",
+                    "async_amd": "true",
+                    "async_amd_status_callback": "https://test.ngrok.io/webhooks/twilio/amd",
+                    "status_callback": "https://test.ngrok.io/webhooks/twilio/status",
+                    "status_callback_method": "POST",
+                    "status_callback_event": [
+                        "initiated",
+                        "ringing",
+                        "answered",
+                        "completed",
+                    ],
+                },
+            )
+        assert sid == "CA" + "f" * 32
+
+    @pytest.mark.asyncio
+    async def test_initiate_call_translates_pascal_case_defensively(self) -> None:
+        """Belt-and-braces: even if a future caller forgets and passes
+        PascalCase, the adapter must normalise before invoking the SDK.
+        Without the fix this raises ``TypeError`` (production crash)."""
+        captured: dict = {}
+
+        def _capture(**kwargs):
+            # Re-use the strict validator so any leakage explodes here.
+            _strict_create(**kwargs)
+            captured.update(kwargs)
+            resp = MagicMock()
+            resp.sid = "CA" + "a" * 32
+            return resp
+
+        with patch(
+            "getpatter.providers.twilio_adapter.TwilioClient"
+        ) as MockTwilioClient:
+            client_instance = MagicMock()
+            client_instance.calls = MagicMock()
+            client_instance.calls.create = _capture
+            MockTwilioClient.return_value = client_instance
+
+            adapter = TwilioAdapter(
+                account_sid="ACtest000000000000000000000000000",
+                auth_token="tok_test",
+            )
+
+            await adapter.initiate_call(
+                "+15551234567",
+                "+15559876543",
+                "wss://test.ngrok.io/ws/stream/outbound",
+                extra_params={
+                    "Timeout": 30,
+                    "MachineDetection": "DetectMessageEnd",
+                    "StatusCallback": "https://test.ngrok.io/webhooks/twilio/status",
+                },
+            )
+
+        # Adapter must have rewritten all three to snake_case before
+        # the SDK call — and the strict validator must have accepted them.
+        assert captured["timeout"] == 30
+        assert captured["machine_detection"] == "DetectMessageEnd"
+        assert (
+            captured["status_callback"]
+            == "https://test.ngrok.io/webhooks/twilio/status"
+        )
+        # PascalCase keys must NOT survive into the SDK call.
+        assert "Timeout" not in captured
+        assert "MachineDetection" not in captured
+        assert "StatusCallback" not in captured
+
+
+# ---------------------------------------------------------------------------
+# Client-level: Patter.call() routes through the adapter with snake_case
+# keys. Hooking the adapter to the strict stub asserts the entire path is
+# wire-correct — not just the dict shape.
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.unit
+class TestPatterCallEndToEnd:
+    @pytest.mark.asyncio
+    async def test_outbound_call_does_not_raise_typeerror(self) -> None:
+        """Reproduce the user-reported zenn.dev bug: an outbound call with
+        machine_detection + ring_timeout must NOT raise ``TypeError`` from
+        twilio-python's ``calls.create``. Pre-fix, this test fails."""
+        cfg = LocalConfig(
+            telephony_provider="twilio",
+            twilio_sid="ACtest000000000000000000000000000",
+            twilio_token="tok_test",
+            openai_key="sk-test",
+            webhook_url="test.ngrok.io",
+            phone_number="+15551234567",
+        )
+        phone = Patter.__new__(Patter)
+        phone._local_config = cfg
+        phone._server = None
+
+        # Patch the TwilioClient constructor so the adapter wraps a real
+        # TwilioAdapter instance but the underlying SDK is replaced by
+        # our strict validator. Everything else (URL/TwiML construction,
+        # ring_timeout propagation, status callback wiring, AMD params)
+        # runs the actual production code path.
+        captured: dict = {}
+
+        def _capture(**kwargs):
+            _strict_create(**kwargs)
+            captured.update(kwargs)
+            resp = MagicMock()
+            resp.sid = "CA" + "b" * 32
+            return resp
+
+        with patch(
+            "getpatter.providers.twilio_adapter.TwilioClient"
+        ) as MockTwilioClient:
+            client_instance = MagicMock()
+            client_instance.calls = MagicMock()
+            client_instance.calls.create = _capture
+            MockTwilioClient.return_value = client_instance
+
+            await phone.call(
+                to="+15559876543",
+                agent=make_agent(),
+                machine_detection=True,
+                ring_timeout=30,
+            )
+
+        # All the params Twilio cares about landed under snake_case keys.
+        assert captured["to"] == "+15559876543"
+        assert captured["from_"] == "+15551234567"
+        assert captured["timeout"] == 30
+        assert captured["machine_detection"] == "DetectMessageEnd"
+        assert captured["async_amd"] == "true"
+        assert "async_amd_status_callback" in captured
+        assert (
+            captured["status_callback"]
+            == "https://test.ngrok.io/webhooks/twilio/status"
+        )
+        assert captured["status_callback_method"] == "POST"
+        assert "ringing" in captured["status_callback_event"]
+        assert "completed" in captured["status_callback_event"]
+
+    @pytest.mark.asyncio
+    async def test_outbound_call_without_amd_still_snake_case(self) -> None:
+        """``machine_detection=False`` must still produce a snake_case
+        StatusCallback wiring — the dashboard relies on it."""
+        cfg = LocalConfig(
+            telephony_provider="twilio",
+            twilio_sid="ACtest000000000000000000000000000",
+            twilio_token="tok_test",
+            openai_key="sk-test",
+            webhook_url="test.ngrok.io",
+            phone_number="+15551234567",
+        )
+        phone = Patter.__new__(Patter)
+        phone._local_config = cfg
+        phone._server = None
+
+        captured: dict = {}
+
+        def _capture(**kwargs):
+            _strict_create(**kwargs)
+            captured.update(kwargs)
+            resp = MagicMock()
+            resp.sid = "CA" + "c" * 32
+            return resp
+
+        with patch(
+            "getpatter.providers.twilio_adapter.TwilioClient"
+        ) as MockTwilioClient:
+            client_instance = MagicMock()
+            client_instance.calls = MagicMock()
+            client_instance.calls.create = _capture
+            MockTwilioClient.return_value = client_instance
+
+            await phone.call(
+                to="+15559876543",
+                agent=make_agent(),
+                machine_detection=False,
+            )
+
+        assert "machine_detection" not in captured
+        assert "async_amd" not in captured
+        assert captured["status_callback"].endswith("/webhooks/twilio/status")
diff --git a/libraries/python/tests/unit/test_twilio_status_and_ring_timeout.py b/libraries/python/tests/unit/test_twilio_status_and_ring_timeout.py
index 51e0ea85..209f04e0 100644
--- a/libraries/python/tests/unit/test_twilio_status_and_ring_timeout.py
+++ b/libraries/python/tests/unit/test_twilio_status_and_ring_timeout.py
@@ -10,7 +10,8 @@
      in-memory metrics store.
   2. **IMP2** — callers may set ``ring_timeout`` on ``Patter.call()`` to
      control how long the phone rings before the carrier gives up. It
-     must land as ``Timeout`` on Twilio's REST payload and ``timeout_secs``
+     must land as ``timeout`` on the twilio-python kwarg payload
+     (translated to Twilio's ``Timeout`` REST param) and as ``timeout_secs``
      on Telnyx's — the old code silently dropped it.
 
 The tests exercise the endpoint directly via the ASGI layer, and exercise
@@ -254,9 +255,7 @@ async def test_twilio_ring_timeout_becomes_timeout_param(self) -> None:
             "getpatter.providers.twilio_adapter.TwilioAdapter"
         ) as mock_adapter_cls:
             mock_adapter = mock_adapter_cls.return_value
-            mock_adapter.initiate_call = AsyncMock(
-                return_value="CA" + "9" * 32
-            )
+            mock_adapter.initiate_call = AsyncMock(return_value="CA" + "9" * 32)
 
             await phone.call(
                 to="+15559876543",
@@ -265,10 +264,8 @@ async def test_twilio_ring_timeout_becomes_timeout_param(self) -> None:
             )
 
             mock_adapter.initiate_call.assert_awaited_once()
-            extra_params = mock_adapter.initiate_call.await_args.kwargs[
-                "extra_params"
-            ]
-            assert extra_params["Timeout"] == 45
+            extra_params = mock_adapter.initiate_call.await_args.kwargs["extra_params"]
+            assert extra_params["timeout"] == 45
 
     @pytest.mark.asyncio
     async def test_twilio_ring_timeout_default_is_25(self) -> None:
@@ -292,16 +289,12 @@ async def test_twilio_ring_timeout_default_is_25(self) -> None:
             "getpatter.providers.twilio_adapter.TwilioAdapter"
         ) as mock_adapter_cls:
             mock_adapter = mock_adapter_cls.return_value
-            mock_adapter.initiate_call = AsyncMock(
-                return_value="CA" + "8" * 32
-            )
+            mock_adapter.initiate_call = AsyncMock(return_value="CA" + "8" * 32)
 
             await phone.call(to="+15559876543", agent=make_agent())
 
-            extra_params = mock_adapter.initiate_call.await_args.kwargs[
-                "extra_params"
-            ]
-            assert extra_params["Timeout"] == 25
+            extra_params = mock_adapter.initiate_call.await_args.kwargs["extra_params"]
+            assert extra_params["timeout"] == 25
 
     @pytest.mark.asyncio
     async def test_twilio_ring_timeout_omitted_when_none(self) -> None:
@@ -324,18 +317,16 @@ async def test_twilio_ring_timeout_omitted_when_none(self) -> None:
             "getpatter.providers.twilio_adapter.TwilioAdapter"
         ) as mock_adapter_cls:
             mock_adapter = mock_adapter_cls.return_value
-            mock_adapter.initiate_call = AsyncMock(
-                return_value="CA" + "8" * 32
-            )
+            mock_adapter.initiate_call = AsyncMock(return_value="CA" + "8" * 32)
 
             await phone.call(
-                to="+15559876543", agent=make_agent(), ring_timeout=None,
+                to="+15559876543",
+                agent=make_agent(),
+                ring_timeout=None,
             )
 
-            extra_params = mock_adapter.initiate_call.await_args.kwargs[
-                "extra_params"
-            ]
-            assert "Timeout" not in extra_params
+            extra_params = mock_adapter.initiate_call.await_args.kwargs["extra_params"]
+            assert "timeout" not in extra_params
 
     @pytest.mark.asyncio
     async def test_twilio_statuscallback_always_registered(self) -> None:
@@ -359,24 +350,23 @@ async def test_twilio_statuscallback_always_registered(self) -> None:
             "getpatter.providers.twilio_adapter.TwilioAdapter"
         ) as mock_adapter_cls:
             mock_adapter = mock_adapter_cls.return_value
-            mock_adapter.initiate_call = AsyncMock(
-                return_value="CA" + "7" * 32
-            )
+            mock_adapter.initiate_call = AsyncMock(return_value="CA" + "7" * 32)
 
             await phone.call(to="+15559876543", agent=make_agent())
 
-            extra = mock_adapter.initiate_call.await_args.kwargs[
-                "extra_params"
-            ]
+            extra = mock_adapter.initiate_call.await_args.kwargs["extra_params"]
+            # Keys are snake_case — the twilio-python SDK's
+            # ``calls.create(**kwargs)`` rejects PascalCase with
+            # ``TypeError: unexpected keyword argument``.
             assert (
-                extra["StatusCallback"]
+                extra["status_callback"]
                 == "https://test.ngrok.io/webhooks/twilio/status"
             )
-            assert extra["StatusCallbackMethod"] == "POST"
-            # Events we care about for BUG #06. Now passed as a list under
+            assert extra["status_callback_method"] == "POST"
+            # Events we care about for BUG #06. Passed as a list under
             # the snake_case key the twilio-python SDK expects (see
             # 2026-04-29 fix for Twilio notification 21626).
-            events = extra.get("status_callback_event") or extra.get("StatusCallbackEvent")
+            events = extra["status_callback_event"]
             assert "ringing" in events
             assert "completed" in events
 
diff --git a/libraries/typescript/src/cli.ts b/libraries/typescript/src/cli.ts
index 8cb332a3..fd837799 100644
--- a/libraries/typescript/src/cli.ts
+++ b/libraries/typescript/src/cli.ts
@@ -76,7 +76,13 @@ async function main(): Promise<void> {
     res.json({ status: 'ok', mode: 'dashboard' });
   });
 
-  // Ingest endpoint — SDK POSTs completed call data here for live updates
+  // Ingest endpoint — SDK POSTs call lifecycle events here so a
+  // standalone dashboard surfaces them live. Three event kinds:
+  //   * status="initiated" — outbound dial handed off to carrier,
+  //     callee hasn't picked up yet. Surfaces the row immediately so
+  //     the user sees the attempt during ringing.
+  //   * default (no status) — call_start, media stream began.
+  //   * ended_at present — call_end, final metrics + transcript.
   app.post('/api/dashboard/ingest', (req, res) => {
     const data = req.body as Record<string, unknown>;
     const callId = (data.call_id as string) || '';
@@ -84,6 +90,12 @@ async function main(): Promise<void> {
       res.json({ ok: false, error: 'missing call_id' });
       return;
     }
+    const status = data.status as string | undefined;
+    if (status === 'initiated') {
+      store.recordCallInitiated(data);
+      res.json({ ok: true, call_id: callId, event: 'initiated' });
+      return;
+    }
     store.recordCallStart(data);
     if (data.ended_at) {
       store.recordCallEnd(data, (data.metrics as Record<string, unknown>) ?? null);
diff --git a/libraries/typescript/src/client.ts b/libraries/typescript/src/client.ts
index 2ee2ae29..87288120 100644
--- a/libraries/typescript/src/client.ts
+++ b/libraries/typescript/src/client.ts
@@ -124,14 +124,27 @@ function resolvePersistRoot(persist: boolean | string | undefined): string | nul
   if (persist === false) return null;
   if (persist === true) return resolveLogRoot('auto');
   if (typeof persist === 'string') return resolveLogRoot(persist);
-  return resolveLogRoot();
+  // Changed from the prior opt-in behaviour on 2026-05-21: the dashboard's
+  // hydrate path requires on-disk records to survive process restarts, so
+  // persistence now defaults to ON when `persist` is omitted. Set
+  // `persist: false` to keep the old ephemeral-RAM-only behaviour.
+  const envRoot = resolveLogRoot();
+  if (envRoot !== null) return envRoot;
+  return resolveLogRoot('auto');
 }
 
 /** Close every parked socket inside a ``ParkedProviderConnections`` slot. */
 function closeParkedConnections(slot: ParkedProviderConnections): void {
   if (slot.stt) { try { slot.stt.close(); } catch { /* ignore */ } }
   if (slot.tts) { try { slot.tts.ws.close(); } catch { /* ignore */ } }
-  if (slot.openaiRealtime) { try { slot.openaiRealtime.close(); } catch { /* ignore */ } }
+  if (slot.openaiRealtime) {
+    const wsAny = slot.openaiRealtime as unknown as { _parkedKeepalive?: NodeJS.Timeout };
+    if (wsAny._parkedKeepalive) {
+      clearInterval(wsAny._parkedKeepalive);
+      delete wsAny._parkedKeepalive;
+    }
+    try { slot.openaiRealtime.close(); } catch { /* ignore */ }
+  }
 }
 
 /** Top-level SDK entry point — wraps a carrier + embedded server + agent loop. */
@@ -520,19 +533,17 @@ export class Patter {
       validateAllToolSchemas(working.tools as ToolDefinition[]);
     }
 
-    // Default `prewarmFirstMessage` to true in pipeline mode (0.6.2).
-    // First-turn p95 on every pipeline acceptance run was dominated by
-    // the 200-700 ms TTS first-byte latency on the greeting; pre-rendering
-    // during the ringing window collapses that to a single buffer-copy at
-    // pickup. Opt-out by passing `prewarmFirstMessage: false` explicitly
-    // — high-volume outbound where un-answered TTS spend matters can
-    // restore the pre-0.6.2 behaviour. Realtime / ConvAI modes never
-    // consume the cache; leave them unchanged so we don't pay TTS for a
-    // synth no caller will hear.
-    if (working.prewarmFirstMessage === undefined && working.provider === 'pipeline') {
-      working = { ...working, prewarmFirstMessage: true };
-    }
-
+    // ``prewarmFirstMessage`` is opt-in (default false) — reverted from
+    // 2026-05-18's default-on attempt after the 0.6.2 acceptance run
+    // surfaced a phantom-barge-in interaction: prewarm bursts audio
+    // at pickup, the very first inbound carrier frame triggered Silero
+    // VAD speech_start, the firstMessage was cancelled mid-playback
+    // and the user heard a clipped (graffiante) fragment. Until the
+    // root cause (anchoring the barge-in gate on first-mark-echo
+    // rather than ``firstAudioSentAt = beginSpeaking time``) is fully
+    // addressed, default it off so most pipeline calls take the
+    // live-streaming path that the user is happy with. Opt in
+    // explicitly per agent when willing to pay the trade-off.
     return working;
   }
 
@@ -874,7 +885,19 @@ export class Patter {
     const tts = agent.tts as { openParkedConnection?: () => Promise<import('./providers/elevenlabs-ws-tts').ElevenLabsParkedWS> } | undefined;
     const sttOpen = typeof stt?.openParkedConnection === 'function' ? stt.openParkedConnection.bind(stt) : null;
     const ttsOpen = typeof tts?.openParkedConnection === 'function' ? tts.openParkedConnection.bind(tts) : null;
-    if (!sttOpen && !ttsOpen) return;
+    // Detect OpenAI Realtime agents (provider == 'openai_realtime' or
+    // 'openai_realtime_2'). The adapter isn't constructed yet — the
+    // per-call StreamHandler builds it at `start`. We instantiate a
+    // throw-away one here just long enough to call openParkedConnection
+    // and produce a primed WS, then store the WS in the slot. The live
+    // adapter (built per-call) adopts it via `adoptWebSocket`. Cast
+    // through `string` because the public ``AgentOptions.provider``
+    // literal union doesn't yet enumerate ``openai_realtime_2`` (the
+    // GA engine carries it through internally).
+    const providerStr = (agent.provider as unknown as string | undefined) ?? '';
+    const wantsRealtimePark =
+      providerStr === 'openai_realtime' || providerStr === 'openai_realtime_2';
+    if (!sttOpen && !ttsOpen && !wantsRealtimePark) return;
 
     const slot: ParkedProviderConnections = {};
     this.prewarmedConnections.set(callId, slot);
@@ -918,6 +941,47 @@ export class Patter {
         }
       })());
     }
+    if (wantsRealtimePark) {
+      tasks.push((async () => {
+        // Defer the import so users that don't use Realtime don't pay
+        // the load-time cost of the adapter + ws module.
+        const { OpenAIRealtime2Adapter } = await import('./providers/openai-realtime-2');
+        const apiKey = process.env.OPENAI_API_KEY ?? '';
+        if (!apiKey) {
+          getLogger().debug(`Park OpenAI Realtime skipped for ${callId}: no OPENAI_API_KEY`);
+          return;
+        }
+        try {
+          // Build a throw-away adapter just to call openParkedConnection.
+          // The session.update payload mirrors what the per-call
+          // StreamHandler would send so no second session.update is
+          // needed after adoption. The constructor signature is
+          // positional (inherited from OpenAIRealtimeAdapter).
+          const tmpAdapter = new OpenAIRealtime2Adapter(
+            apiKey,
+            (agent.model as string | undefined) ?? 'gpt-realtime-mini',
+            (agent.voice as string | undefined) ?? 'alloy',
+            (agent.systemPrompt as string | undefined) ?? '',
+            [],
+            // audioFormat — the GA adapter always emits audio/pcm@24000
+            // internally regardless of this value, but it's a required
+            // positional param. Default to g711_ulaw (Twilio wire format).
+            undefined,
+          );
+          const ws = await tmpAdapter.openParkedConnection();
+          if (this.prewarmedConnections.get(callId) !== slot) {
+            try { ws.close(); } catch { /* ignore */ }
+            return;
+          }
+          slot.openaiRealtime = ws;
+          getLogger().info(
+            `[PREWARM] callId=${callId} provider=openai_realtime ms=${Date.now() - startedAt}`,
+          );
+        } catch (err) {
+          getLogger().debug(`Park OpenAI Realtime failed for ${callId}: ${String(err)}`);
+        }
+      })());
+    }
 
     const task = (async () => {
       await Promise.allSettled(tasks);
@@ -1005,6 +1069,7 @@ export class Patter {
     agent: AgentOptions,
     callId: string,
     ringTimeout: number | null | undefined,
+    carrier?: 'twilio' | 'telnyx',
   ): void {
     if (!agent.prewarmFirstMessage) return;
     // FIX #94 — Realtime / ConvAI never consume the cache. Refuse early
@@ -1023,6 +1088,28 @@ export class Patter {
     if (!firstMessage || !tts) return;
     if (typeof tts.synthesizeStream !== 'function') return;
 
+    // Advise the TTS adapter of the telephony carrier BEFORE we trigger
+    // the synth so it can produce wire-native bytes (``ulaw_8000`` for
+    // Twilio, ``pcm_16000`` for Telnyx) — skipping the client-side
+    // resample + mulaw encode that produced audible artifacts on the
+    // prewarmed firstMessage during 0.6.2 acceptance. The hook is opt-in
+    // per-adapter; adapters that don't expose it (or that the user
+    // configured with an explicit outputFormat) keep their format.
+    if (carrier) {
+      const carrierAware = tts as unknown as {
+        setTelephonyCarrier?: (c: string) => void;
+      };
+      if (typeof carrierAware.setTelephonyCarrier === 'function') {
+        try {
+          carrierAware.setTelephonyCarrier(carrier);
+        } catch (err) {
+          getLogger().debug(
+            `Prewarm TTS setTelephonyCarrier failed for ${callId}: ${String(err)}`,
+          );
+        }
+      }
+    }
+
     // FIX #96 — refuse to spawn when the cache (live entries +
     // in-flight synth tasks) would exceed the cap. Counting both
     // active entries AND pending tasks keeps the bound honest under
@@ -1198,16 +1285,30 @@ export class Patter {
       } catch {
         /* non-fatal */
       }
-      if (this.embeddedServer && telnyxCallId) {
-        this.embeddedServer.metricsStore.recordCallInitiated({
+      if (telnyxCallId) {
+        const initiatedPayload = {
           call_id: telnyxCallId,
           caller: phoneNumber,
           callee: options.to,
           direction: 'outbound',
-        });
+          status: 'initiated',
+        } as const;
+        if (this.embeddedServer) {
+          this.embeddedServer.metricsStore.recordCallInitiated(initiatedPayload);
+        }
+        // Relay to a standalone dashboard (running in a separate process)
+        // so it surfaces the dial attempt during ringing, not only when
+        // media arrives on pickup. Fire-and-forget — silent when no
+        // standalone dashboard is listening.
+        try {
+          const { notifyDashboard } = await import('./dashboard/persistence');
+          notifyDashboard(initiatedPayload);
+        } catch {
+          /* ignore */
+        }
       }
       if (telnyxCallId) {
-        this.spawnPrewarmFirstMessage(options.agent, telnyxCallId, effectiveRingTimeout);
+        this.spawnPrewarmFirstMessage(options.agent, telnyxCallId, effectiveRingTimeout, 'telnyx');
         // Park provider WebSockets in parallel so the per-call
         // StreamHandler can adopt them at ``start`` instead of paying
         // the cold-handshake on first turn. Off when the user
@@ -1293,23 +1394,33 @@ export class Patter {
     } catch {
       /* non-fatal — the statusCallback will register anyway */
     }
-    if (this.embeddedServer && twilioCallSid) {
-      this.embeddedServer.metricsStore.recordCallInitiated({
+    if (twilioCallSid) {
+      const initiatedPayload = {
         call_id: twilioCallSid,
         caller: phoneNumber,
         callee: options.to,
         direction: 'outbound',
-      });
-      if (twilioNotificationsPath) {
-        getLogger().info(
-          `Outbound call ${twilioCallSid} placed. ` +
-            `Twilio notifications: https://api.twilio.com${twilioNotificationsPath} ` +
-            '(check here if the call drops with no audio).',
-        );
+        status: 'initiated',
+      } as const;
+      if (this.embeddedServer) {
+        this.embeddedServer.metricsStore.recordCallInitiated(initiatedPayload);
+        if (twilioNotificationsPath) {
+          getLogger().info(
+            `Outbound call ${twilioCallSid} placed. ` +
+              `Twilio notifications: https://api.twilio.com${twilioNotificationsPath} ` +
+              '(check here if the call drops with no audio).',
+          );
+        }
+      }
+      try {
+        const { notifyDashboard } = await import('./dashboard/persistence');
+        notifyDashboard(initiatedPayload);
+      } catch {
+        /* ignore */
       }
     }
     if (twilioCallSid) {
-      this.spawnPrewarmFirstMessage(options.agent, twilioCallSid, effectiveRingTimeout);
+      this.spawnPrewarmFirstMessage(options.agent, twilioCallSid, effectiveRingTimeout, 'twilio');
       // Park provider WebSockets in parallel so the per-call
       // StreamHandler can adopt them at ``start`` instead of paying
       // the cold-handshake on first turn. Off when the user
diff --git a/libraries/typescript/src/dashboard/store.ts b/libraries/typescript/src/dashboard/store.ts
index f1be69a4..8ce5c9cc 100644
--- a/libraries/typescript/src/dashboard/store.ts
+++ b/libraries/typescript/src/dashboard/store.ts
@@ -15,6 +15,12 @@ import { EventEmitter } from 'events';
 import * as fs from 'node:fs';
 import * as path from 'node:path';
 import { getLogger } from '../logger';
+import { VERSION } from '../version';
+
+/** Resolved SDK version (single source of truth: ``package.json``). */
+function sdkVersion(): string {
+  return VERSION;
+}
 
 /** Snapshot of a call as held by the dashboard store. */
 export interface CallRecord {
@@ -482,6 +488,7 @@ export class MetricsStore extends EventEmitter {
         avg_latency_ms: 0,
         cost_breakdown: { stt: 0, tts: 0, llm: 0, telephony: 0 },
         active_calls: this.activeCalls.size,
+        sdk_version: sdkVersion(),
       };
     }
 
@@ -529,6 +536,7 @@ export class MetricsStore extends EventEmitter {
         telephony: Math.round(costTel * 1e6) / 1e6,
       },
       active_calls: this.activeCalls.size,
+      sdk_version: sdkVersion(),
     };
   }
 
diff --git a/libraries/typescript/src/dashboard/ui.html b/libraries/typescript/src/dashboard/ui.html
index 50347d38..29a02214 100644
--- a/libraries/typescript/src/dashboard/ui.html
+++ b/libraries/typescript/src/dashboard/ui.html
@@ -15,7 +15,7 @@
       href="https://fonts.googleapis.com/css2?family=Instrument+Sans:wght@400;500;600;700&family=JetBrains+Mono:wght@400;500;600&display=swap"
       rel="stylesheet"
     />
-    <script type="module" crossorigin>(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const l of document.querySelectorAll('link[rel="modulepreload"]'))r(l);new MutationObserver(l=>{for(const s of l)if(s.type==="childList")for(const o of s.addedNodes)o.tagName==="LINK"&&o.rel==="modulepreload"&&r(o)}).observe(document,{childList:!0,subtree:!0});function n(l){const s={};return l.integrity&&(s.integrity=l.integrity),l.referrerPolicy&&(s.referrerPolicy=l.referrerPolicy),l.crossOrigin==="use-credentials"?s.credentials="include":l.crossOrigin==="anonymous"?s.credentials="omit":s.credentials="same-origin",s}function r(l){if(l.ep)return;l.ep=!0;const s=n(l);fetch(l.href,s)}})();function Oc(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}var hu={exports:{}},vl={},mu={exports:{}},D={};/**
+    <script type="module" crossorigin>(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const l of document.querySelectorAll('link[rel="modulepreload"]'))r(l);new MutationObserver(l=>{for(const s of l)if(s.type==="childList")for(const o of s.addedNodes)o.tagName==="LINK"&&o.rel==="modulepreload"&&r(o)}).observe(document,{childList:!0,subtree:!0});function n(l){const s={};return l.integrity&&(s.integrity=l.integrity),l.referrerPolicy&&(s.referrerPolicy=l.referrerPolicy),l.crossOrigin==="use-credentials"?s.credentials="include":l.crossOrigin==="anonymous"?s.credentials="omit":s.credentials="same-origin",s}function r(l){if(l.ep)return;l.ep=!0;const s=n(l);fetch(l.href,s)}})();function Ac(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}var pu={exports:{}},vl={},hu={exports:{}},R={};/**
  * @license React
  * react.production.min.js
  *
@@ -23,7 +23,7 @@
  *
  * This source code is licensed under the MIT license found in the
  * LICENSE file in the root directory of this source tree.
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o.componentDidUpdate!="function"||u===e.memoizedProps&&m===e.memoizedState||(t.flags|=4),typeof o.getSnapshotBeforeUpdate!="function"||u===e.memoizedProps&&m===e.memoizedState||(t.flags|=1024),r=!1)}return Bs(e,t,n,r,s,l)}function Bs(e,t,n,r,l,s){nc(e,t);var o=(t.flags&128)!==0;if(!r&&!o)return l&&zi(t,n,!1),nt(e,t,s);r=t.stateNode,Ud.current=t;var u=o&&typeof n.getDerivedStateFromError!="function"?null:r.render();return t.flags|=1,e!==null&&o?(t.child=dn(t,e.child,null,s),t.child=dn(t,null,u,s)):ue(e,t,u,s),t.memoizedState=r.state,l&&zi(t,n,!0),t.child}function rc(e){var t=e.stateNode;t.pendingContext?Ti(e,t.pendingContext,t.pendingContext!==t.context):t.context&&Ti(e,t.context,!1),To(e,t.containerInfo)}function Xi(e,t,n,r,l){return fn(),_o(l),t.flags|=256,ue(e,t,n,r),t.child}var Ws={dehydrated:null,treeContext:null,retryLane:0};function Qs(e){return{baseLanes:e,cachePool:null,transitions:null}}function lc(e,t,n){var 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a={mode:"hidden",children:r.children};return!(o&1)&&t.child!==l?(r=t.child,r.childLanes=0,r.pendingProps=a,t.deletions=null):(r=wt(l,a),r.subtreeFlags=l.subtreeFlags&14680064),u!==null?s=wt(u,s):(s=Rt(s,o,n,null),s.flags|=2),s.return=t,r.return=t,r.sibling=s,t.child=r,r=s,s=t.child,o=e.child.memoizedState,o=o===null?Qs(n):{baseLanes:o.baseLanes|n,cachePool:null,transitions:o.transitions},s.memoizedState=o,s.childLanes=e.childLanes&~n,t.memoizedState=Ws,r}return s=e.child,e=s.sibling,r=wt(s,{mode:"visible",children:r.children}),!(t.mode&1)&&(r.lanes=n),r.return=t,r.sibling=null,e!==null&&(n=t.deletions,n===null?(t.deletions=[e],t.flags|=16):n.push(e)),t.child=r,t.memoizedState=null,r}function $o(e,t){return t=El({mode:"visible",children:t},e.mode,0,null),t.return=e,e.child=t}function jr(e,t,n,r){return r!==null&&_o(r),pn(t,e.child,null,n),e=$o(t,t.pendingProps.children),e.flags|=2,t.memoizedState=null,e}function Ud(e,t,n,r,l,s,o){if(n)return t.flags&256?(t.flags&=-257,r=ts(Error(k(422))),jr(e,t,o,r)):t.memoizedState!==null?(t.child=e.child,t.flags|=128,null):(s=r.fallback,l=t.mode,r=El({mode:"visible",children:r.children},l,0,null),s=Rt(s,l,o,null),s.flags|=2,r.return=t,s.return=t,r.sibling=s,t.child=r,t.mode&1&&pn(t,e.child,null,o),t.child.memoizedState=Qs(o),t.memoizedState=Ws,s);if(!(t.mode&1))return jr(e,t,o,null);if(l.data==="$!"){if(r=l.nextSibling&&l.nextSibling.dataset,r)var u=r.dgst;return r=u,s=Error(k(419)),r=ts(s,r,void 0),jr(e,t,o,r)}if(u=(o&e.childLanes)!==0,me||u){if(r=ee,r!==null){switch(o&-o){case 4:l=2;break;case 16:l=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:l=32;break;case 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n=t.child;n!==null;){if(n.tag===5||n.tag===6)e.appendChild(n.stateNode);else if(n.tag!==4&&n.child!==null){n.child.return=n,n=n.child;continue}if(n===t)break;for(;n.sibling===null;){if(n.return===null||n.return===t)return;n=n.return}n.sibling.return=n.return,n=n.sibling}};Ks=function(){};oc=function(e,t,n,r){var l=e.memoizedProps;if(l!==r){e=t.stateNode,Pt(We.current);var s=null;switch(n){case"input":l=hs(e,l),r=hs(e,r),s=[];break;case"select":l=Y({},l,{value:void 0}),r=Y({},r,{value:void 0}),s=[];break;case"textarea":l=ys(e,l),r=ys(e,r),s=[];break;default:typeof l.onClick!="function"&&typeof r.onClick=="function"&&(e.onclick=qr)}ws(n,r);var o;n=null;for(f in l)if(!r.hasOwnProperty(f)&&l.hasOwnProperty(f)&&l[f]!=null)if(f==="style"){var u=l[f];for(o in u)u.hasOwnProperty(o)&&(n||(n={}),n[o]="")}else 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En(e,t){if(!B)switch(e.tailMode){case"hidden":t=e.tail;for(var n=null;t!==null;)t.alternate!==null&&(n=t),t=t.sibling;n===null?e.tail=null:n.sibling=null;break;case"collapsed":n=e.tail;for(var r=null;n!==null;)n.alternate!==null&&(r=n),n=n.sibling;r===null?t||e.tail===null?e.tail=null:e.tail.sibling=null:r.sibling=null}}function se(e){var t=e.alternate!==null&&e.alternate.child===e.child,n=0,r=0;if(t)for(var l=e.child;l!==null;)n|=l.lanes|l.childLanes,r|=l.subtreeFlags&14680064,r|=l.flags&14680064,l.return=e,l=l.sibling;else for(l=e.child;l!==null;)n|=l.lanes|l.childLanes,r|=l.subtreeFlags,r|=l.flags,l.return=e,l=l.sibling;return e.subtreeFlags|=r,e.childLanes=n,t}function Bd(e,t,n){var r=t.pendingProps;switch(jo(t),t.tag){case 2:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return se(t),null;case 1:return ye(t.type)&&br(),se(t),null;case 3:return 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s=t.memoizedProps;switch(r[He]=t,r[qn]=s,e=(t.mode&1)!==0,n){case"dialog":$("cancel",r),$("close",r);break;case"iframe":case"object":case"embed":$("load",r);break;case"video":case"audio":for(l=0;l<zn.length;l++)$(zn[l],r);break;case"source":$("error",r);break;case"img":case"image":case"link":$("error",r),$("load",r);break;case"details":$("toggle",r);break;case"input":li(r,s),$("invalid",r);break;case"select":r._wrapperState={wasMultiple:!!s.multiple},$("invalid",r);break;case"textarea":oi(r,s),$("invalid",r)}ws(n,s),l=null;for(var o in s)if(s.hasOwnProperty(o)){var u=s[o];o==="children"?typeof u=="string"?r.textContent!==u&&(s.suppressHydrationWarning!==!0&&kr(r.textContent,u,e),l=["children",u]):typeof 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r.is=="string"?e=o.createElement(n,{is:r.is}):(e=o.createElement(n),n==="select"&&(o=e,r.multiple?o.multiple=!0:r.size&&(o.size=r.size))):e=o.createElementNS(e,n),e[He]=t,e[qn]=r,sc(e,t,!1,!1),t.stateNode=e;e:{switch(o=xs(n,r),n){case"dialog":$("cancel",e),$("close",e),l=r;break;case"iframe":case"object":case"embed":$("load",e),l=r;break;case"video":case"audio":for(l=0;l<zn.length;l++)$(zn[l],e);l=r;break;case"source":$("error",e),l=r;break;case"img":case"image":case"link":$("error",e),$("load",e),l=r;break;case"details":$("toggle",e),l=r;break;case"input":li(e,r),l=hs(e,r),$("invalid",e);break;case"option":l=r;break;case"select":e._wrapperState={wasMultiple:!!r.multiple},l=Y({},r,{value:void 0}),$("invalid",e);break;case"textarea":oi(e,r),l=ys(e,r),$("invalid",e);break;default:l=r}ws(n,l),u=l;for(s in u)if(u.hasOwnProperty(s)){var a=u[s];s==="style"?Fu(e,a):s==="dangerouslySetInnerHTML"?(a=a?a.__html:void 0,a!=null&&Au(e,a)):s==="children"?typeof 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t.flags&128?(t.lanes=n,t):(r=r!==null,r!==(e!==null&&e.memoizedState!==null)&&r&&(t.child.flags|=8192,t.mode&1&&(e===null||Q.current&1?q===0&&(q=3):Qo())),t.updateQueue!==null&&(t.flags|=4),se(t),null);case 4:return hn(),Ks(e,t),e===null&&Zn(t.stateNode.containerInfo),se(t),null;case 10:return Mo(t.type._context),se(t),null;case 17:return ye(t.type)&&br(),se(t),null;case 19:if(V(Q),s=t.memoizedState,s===null)return 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t=e.turns;return{duration_seconds:ae(e.duration_seconds),provider_mode:Xe(e.provider_mode),telephony_provider:Xe(e.telephony_provider),stt_provider:Xe(e.stt_provider),tts_provider:Xe(e.tts_provider),llm_provider:Xe(e.llm_provider),stt_model:Xe(e.stt_model),tts_model:Xe(e.tts_model),llm_model:Xe(e.llm_model),cost:Qp(e.cost),latency_avg:Pr(e.latency_avg),latency_p50:Pr(e.latency_p50),latency_p95:Pr(e.latency_p95),latency_p99:Pr(e.latency_p99),turns:Array.isArray(t)?t:void 0}}function Yp(e){if(!Array.isArray(e))return;const t=[];for(const n of e)Ut(n)&&t.push({role:Tt(n.role),text:Tt(n.text),timestamp:Ae(n.timestamp)});return t}function Pc(e){if(!Ut(e))return null;const t=Tt(e.call_id);if(t.length===0)return null;const n=e.turns;return{call_id:t,caller:Tt(e.caller),callee:Tt(e.callee),direction:Tt(e.direction),started_at:Ae(e.started_at),ended_at:ae(e.ended_at),status:Xe(e.status),transcript:Yp(e.transcript),turns:Array.isArray(n)?n:void 0,metrics:Kp(e.metrics)}}function Tc(e){if(!Array.isArray(e))return[];const t=[];for(const n of e){const r=Pc(n);r&&t.push(r)}return t}function Xp(e){return Ut(e)?{stt:Ae(e.stt),tts:Ae(e.tts),llm:Ae(e.llm),telephony:Ae(e.telephony)}:{stt:0,tts:0,llm:0,telephony:0}}function Gp(e){if(!Ut(e))return{total_calls:0,total_cost:0,avg_duration:0,avg_latency_ms:0,cost_breakdown:{stt:0,tts:0,llm:0,telephony:0},active_calls:0};const t=Tt(e.sdk_version);return{total_calls:Ae(e.total_calls),total_cost:Ae(e.total_cost),avg_duration:Ae(e.avg_duration),avg_latency_ms:Ae(e.avg_latency_ms),cost_breakdown:Xp(e.cost_breakdown),active_calls:Ae(e.active_calls),...t?{sdk_version:t}:{}}}async function Jo(e){const t=await fetch(e,{headers:{Accept:"application/json"}});if(!t.ok)throw new Error(`Request to ${e} failed with status ${t.status}`);return t.json()}async function Zp(e=50,t=0){const n=`/api/dashboard/calls?limit=${encodeURIComponent(e)}&offset=${encodeURIComponent(t)}`,r=await Jo(n);return Tc(r)}async function Jp(){const e=await 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t=e.metrics?.cost;if(!t)return{};const n={};return typeof t.telephony=="number"&&(n.telco=t.telephony),typeof t.llm=="number"&&(n.llm=t.llm),typeof t.stt=="number"&&(n.stt=t.stt),typeof t.tts=="number"&&(n.tts=t.tts),typeof t.llm_cached_savings=="number"&&(n.cached=t.llm_cached_savings),(n.stt!==void 0||n.tts!==void 0)&&(n.sttTts=(n.stt??0)+(n.tts??0)),n.telco===void 0&&n.llm===void 0&&n.sttTts===void 0&&typeof t.total=="number"&&(n.total=t.total),n}function uh(e,t){if(t)return;const n=e.metrics?.duration_seconds;return typeof n=="number"?n:typeof e.ended_at=="number"&&typeof e.started_at=="number"?Math.max(0,e.ended_at-e.started_at):0}function ah(e){if(typeof e.ended_at=="number")return Math.round(Date.now()/1e3-e.ended_at)}function cu(e){const t=nh(e.status),n=t==="live"||e.status!==void 0&&th.has(e.status),r=e.metrics?.latency_avg,l=e.metrics?.latency_p50,s=e.metrics?.latency_p95,o=(Array.isArray(e.metrics?.turns)?e.metrics?.turns?.length:void 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diff --git a/libraries/typescript/src/providers/elevenlabs-tts.ts b/libraries/typescript/src/providers/elevenlabs-tts.ts
index 36a0b8bb..2dfd4a0b 100644
--- a/libraries/typescript/src/providers/elevenlabs-tts.ts
+++ b/libraries/typescript/src/providers/elevenlabs-tts.ts
@@ -179,11 +179,21 @@ export class ElevenLabsTTS {
   private readonly apiKey: string;
   private readonly voiceId: string;
   private readonly modelId: string;
-  private readonly outputFormat: ElevenLabsOutputFormat;
+  private _outputFormat: ElevenLabsOutputFormat;
+  private readonly _outputFormatExplicit: boolean;
   private readonly voiceSettings: ElevenLabsVoiceSettings | undefined;
   private readonly languageCode: string | undefined;
   private readonly chunkSize: number;
 
+  /**
+   * Public view of the (possibly auto-flipped) wire format. Read by the
+   * stream-handler to decide whether to skip the client-side resample +
+   * mulaw encode when the bytes are already in the carrier's wire codec.
+   */
+  get outputFormat(): ElevenLabsOutputFormat {
+    return this._outputFormat;
+  }
+
   // Overloads: positional form (back-compat, accepts `string` for
   // outputFormat so existing callers passing arbitrary strings keep
   // compiling) and options-object form (strongly typed).
@@ -205,20 +215,50 @@ export class ElevenLabsTTS {
       const o = voiceIdOrOptions;
       this.voiceId = resolveVoiceId(o.voiceId ?? '21m00Tcm4TlvDq8ikWAM');
       this.modelId = o.modelId ?? ElevenLabsModel.FLASH_V2_5;
-      this.outputFormat = o.outputFormat ?? ElevenLabsOutputFormat.PCM_16000;
+      this._outputFormatExplicit = o.outputFormat !== undefined;
+      this._outputFormat = o.outputFormat ?? ElevenLabsOutputFormat.PCM_16000;
       this.voiceSettings = o.voiceSettings;
       this.languageCode = o.languageCode;
       this.chunkSize = o.chunkSize ?? 4096;
     } else {
       this.voiceId = resolveVoiceId(voiceIdOrOptions);
       this.modelId = modelId;
-      this.outputFormat = outputFormat as ElevenLabsOutputFormat;
+      // Positional 4th-arg form: treat as explicit only when the caller
+      // passed something different from the default. Mirrors the WS
+      // variant's _outputFormatExplicit semantics.
+      this._outputFormatExplicit =
+        outputFormat !== ElevenLabsOutputFormat.PCM_16000;
+      this._outputFormat = outputFormat as ElevenLabsOutputFormat;
       this.voiceSettings = undefined;
       this.languageCode = undefined;
       this.chunkSize = 4096;
     }
   }
 
+  /**
+   * Hook called by ``StreamHandler.initPipeline`` to advise the carrier
+   * wire format. When the user did NOT pass an explicit ``outputFormat``,
+   * auto-flip to the carrier's native codec so the audio bytes ElevenLabs
+   * returns are already in Twilio/Telnyx wire format — eliminating the
+   * client-side 16 kHz → 8 kHz resample and PCM → μ-law encode. The
+   * resample/encode chain was a source of audible artifacts on the
+   * prewarmed firstMessage (see 0.6.2 acceptance notes — burst delivery
+   * of resampled audio crackled on the carrier-side jitter buffer).
+   *
+   * No-op when the caller passed an explicit ``outputFormat`` (incl. via
+   * the ``forTwilio`` / ``forTelnyx`` factories) — user wins.
+   *
+   * Parity with {@link ElevenLabsWebSocketTTS.setTelephonyCarrier}.
+   */
+  setTelephonyCarrier(carrier: string): void {
+    if (this._outputFormatExplicit) return;
+    if (carrier === 'twilio') {
+      this._outputFormat = ElevenLabsOutputFormat.ULAW_8000;
+    } else if (carrier === 'telnyx') {
+      this._outputFormat = ElevenLabsOutputFormat.PCM_16000;
+    }
+  }
+
   /**
    * Construct an instance pre-configured for Twilio Media Streams.
    *
@@ -293,7 +333,7 @@ export class ElevenLabsTTS {
    * good choice for low-latency telephony.
    */
   async *synthesizeStream(text: string): AsyncGenerator<Buffer> {
-    const url = `${ELEVENLABS_BASE_URL}/text-to-speech/${encodeURIComponent(this.voiceId)}/stream?output_format=${encodeURIComponent(this.outputFormat)}`;
+    const url = `${ELEVENLABS_BASE_URL}/text-to-speech/${encodeURIComponent(this.voiceId)}/stream?output_format=${encodeURIComponent(this._outputFormat)}`;
 
     const body: Record<string, unknown> = {
       text,
diff --git a/libraries/typescript/src/providers/elevenlabs-ws-tts.ts b/libraries/typescript/src/providers/elevenlabs-ws-tts.ts
index 30fe67c1..7685831c 100644
--- a/libraries/typescript/src/providers/elevenlabs-ws-tts.ts
+++ b/libraries/typescript/src/providers/elevenlabs-ws-tts.ts
@@ -160,6 +160,21 @@ export class ElevenLabsWebSocketTTS implements TTSAdapter {
    */
   private adoptedConnection: ElevenLabsParkedWS | null = null;
 
+  /**
+   * Active WS for the in-flight ``synthesizeStream`` call, if any. Set
+   * when a stream starts, cleared in its ``finally`` block. The
+   * stream-handler calls ``cancelActiveStream()`` from ``cancelSpeaking``
+   * to unblock the generator's inner ``await Promise<frame>`` — without
+   * it, a barge-in on the firstMessage live path leaves the for-await
+   * stuck waiting for the next frame; ElevenLabs never sends
+   * ``isFinal=true`` after the consumer breaks, the 30 s frame timeout
+   * fires post-call, and meanwhile ``initPipeline`` never returns so
+   * the STT ``onTranscript`` callback never registers and subsequent
+   * user turns are silently dropped (root cause of the 2026-05-20
+   * "first message OK, then no response" symptom).
+   */
+  private activeStreamWs: WebSocket | null = null;
+
   /**
    * The wire format requested over the ElevenLabs WS. Initially set from
    * the constructor; ``setTelephonyCarrier`` may auto-flip it to the
@@ -219,6 +234,34 @@ export class ElevenLabsWebSocketTTS implements TTSAdapter {
     this._outputFormat = native;
   }
 
+  /**
+   * Force-close the WebSocket of any in-flight ``synthesizeStream`` call.
+   * Called by the stream-handler from ``cancelSpeaking`` (barge-in) so
+   * the generator's inner ``await Promise<frame>`` loop unblocks cleanly
+   * via the ``onClose`` handler — instead of waiting up to 30 s for the
+   * ``FRAME_TIMEOUT_MS`` watchdog to fire. No-op when no stream is in
+   * flight or when the WS is already closing.
+   *
+   * Without this, a barge-in during the firstMessage live path left the
+   * for-await stuck (ElevenLabs never sends ``isFinal=true`` after the
+   * consumer breaks), ``initPipeline`` never returned, the STT
+   * ``onTranscript`` callback never registered, and the entire remainder
+   * of the call was silent for the user. Surfaced during the 2026-05-20
+   * acceptance run.
+   */
+  cancelActiveStream(): void {
+    const ws = this.activeStreamWs;
+    if (!ws) return;
+    this.activeStreamWs = null;
+    try {
+      if (ws.readyState === WebSocket.OPEN || ws.readyState === WebSocket.CONNECTING) {
+        ws.close();
+      }
+    } catch {
+      /* best-effort — finally block in synthesizeStream will also try */
+    }
+  }
+
   /** Pre-configured for Twilio Media Streams (`ulaw_8000`). */
   static forTwilio(opts: Omit<ElevenLabsWebSocketTTSOptions, 'outputFormat'>): ElevenLabsWebSocketTTS {
     return new ElevenLabsWebSocketTTS({
@@ -311,6 +354,11 @@ export class ElevenLabsWebSocketTTS implements TTSAdapter {
         headers: { 'xi-api-key': this.apiKey },
       });
     }
+    // Expose the in-flight WS so ``cancelActiveStream`` (called from
+    // the stream-handler's ``cancelSpeaking``) can force a clean exit
+    // out of the inner ``await Promise<frame>`` loop. Cleared in the
+    // outer finally so a stale reference can't leak across calls.
+    this.activeStreamWs = ws;
 
     const queue: Buffer[] = [];
     let done = false;
@@ -462,6 +510,11 @@ export class ElevenLabsWebSocketTTS implements TTSAdapter {
       }
     } finally {
       if (connectTimer) clearTimeout(connectTimer);
+      // Clear the active-stream reference BEFORE we close, so a
+      // concurrent ``cancelActiveStream`` call from the stream-handler
+      // observes that the stream is already cleaning itself up and
+      // avoids a double-close.
+      if (this.activeStreamWs === ws) this.activeStreamWs = null;
       // Best-effort EOS so the server stops billing for unconsumed audio.
       try {
         if (ws.readyState === WebSocket.OPEN) {
diff --git a/libraries/typescript/src/providers/openai-realtime-2.ts b/libraries/typescript/src/providers/openai-realtime-2.ts
index 61943daf..ac693516 100644
--- a/libraries/typescript/src/providers/openai-realtime-2.ts
+++ b/libraries/typescript/src/providers/openai-realtime-2.ts
@@ -113,17 +113,33 @@ export class OpenAIRealtime2Adapter extends OpenAIRealtimeAdapter {
           transcription: {
             model: opts.inputAudioTranscriptionModel ?? OpenAITranscriptionModel.WHISPER_1,
           },
-          // Lower threshold (0.3 vs the 0.5 default) because the inbound
-          // audio is telephony-band (8 kHz) linearly upsampled to 24 kHz —
-          // the upper 4-12 kHz band is interpolation, not real harmonics,
-          // and the GA server VAD's default tuning was calibrated against
-          // studio-quality 24 kHz audio. A more permissive threshold
-          // recovers reliable speech detection on phone-band input.
+          // VAD threshold raised back to the OpenAI default (0.5) on
+          // 2026-05-22. The earlier 0.1 tuning (motivated by the
+          // upsampled telephony-band loss in high frequencies) made the
+          // server VAD trigger on the carrier-loopback echo of the
+          // agent's OWN outbound audio in PSTN no-AEC scenarios.
+          // Combined with the default ``turn_detection.create_response:
+          // true``, every phantom ``speech_started`` ended a turn early
+          // and auto-created a new response that the agent immediately
+          // spoke over, leading to a runaway loop where the first
+          // message was repeatedly cut and re-generated.
           turn_detection: {
             type: opts.vadType ?? OpenAIRealtimeVADType.SERVER_VAD,
-            threshold: 0.1,
+            threshold: 0.5,
             prefix_padding_ms: 300,
             silence_duration_ms: opts.silenceDurationMs ?? 500,
+            // Defer ``response.create`` to the application: when OpenAI's
+            // server VAD commits an ``input_audio_buffer.committed`` segment
+            // that turns out to be a Whisper hallucination on silence/echo,
+            // auto-creating a response would generate a phantom turn (the
+            // model reads the hallucinated text as user input). Patter
+            // triggers ``response.create`` explicitly in the Realtime
+            // stream-handler AFTER validating ``transcript_input`` against
+            // the hallucination filter. Pair with ``interrupt_response:
+            // false`` so server VAD also leaves in-flight responses alone —
+            // barge-in is gated client-side.
+            create_response: false,
+            interrupt_response: false,
           },
         },
         output: {
@@ -292,6 +308,152 @@ export class OpenAIRealtime2Adapter extends OpenAIRealtimeAdapter {
     this.armHeartbeatAndListener();
   }
 
+  /**
+   * GA-API variant of {@link OpenAIRealtimeAdapter.openParkedConnection}.
+   * Opens a fresh Realtime WS against the GA endpoint, exchanges
+   * `session.created` → GA-shape `session.update` → `session.updated`
+   * so the upstream session is fully primed, and returns the OPEN
+   * socket WITHOUT taking it on `this.ws` or arming the heartbeat /
+   * message listener.
+   *
+   * Used by `Patter.parkProviderConnections` during the carrier
+   * ringing window so the per-call `StreamHandler` can adopt the
+   * primed socket at carrier `start` — eliminating the TCP + TLS +
+   * HTTP-101 + `session.update` ack round-trip from the critical path.
+   * Saves ~300-600 ms of first-audible-word latency.
+   *
+   * Bounded by 8 s. Throws on timeout / handshake failure / GA-side
+   * rejection. Callers treat any error as a cache miss and fall
+   * through to the cold {@link connect} path.
+   *
+   * Billing safety: confirmed by OpenAI's Managing Realtime Costs
+   * guide — `session.update` does NOT invoke the model and bills no
+   * tokens. An idle parked socket costs $0.
+   */
+  override async openParkedConnection(): Promise<WebSocket> {
+    const url = `wss://api.openai.com/v1/realtime?model=${encodeURIComponent(this.model)}`;
+    const ws = new WebSocket(url, {
+      headers: { Authorization: `Bearer ${this.apiKey}` },
+    });
+    await new Promise<void>((resolve, reject) => {
+      let sessionCreated = false;
+      let settled = false;
+      const onMessage = (raw: Buffer | string): void => {
+        let msg: { type?: string; error?: { message?: string } };
+        try {
+          msg = JSON.parse(raw.toString()) as { type?: string; error?: { message?: string } };
+        } catch {
+          return;
+        }
+        if (msg.type === 'session.created' && !sessionCreated) {
+          sessionCreated = true;
+          try {
+            ws.send(JSON.stringify({ type: 'session.update', session: this.buildGASessionConfig() }));
+          } catch (err) {
+            cleanup();
+            reject(err instanceof Error ? err : new Error(String(err)));
+          }
+        } else if (msg.type === 'session.updated') {
+          cleanup();
+          resolve();
+        } else if (msg.type === 'error') {
+          cleanup();
+          reject(new Error(`OpenAI Realtime 2 parked-setup error: ${msg.error?.message ?? JSON.stringify(msg)}`));
+        }
+      };
+      const onError = (err: Error): void => {
+        cleanup();
+        reject(err);
+      };
+      const cleanup = (): void => {
+        if (settled) return;
+        settled = true;
+        clearTimeout(timer);
+        ws.off('message', onMessage);
+        ws.off('error', onError);
+      };
+      const timer = setTimeout(() => {
+        cleanup();
+        reject(new Error('OpenAI Realtime 2 park connect timeout'));
+      }, 8000);
+      ws.on('message', onMessage);
+      ws.on('error', onError);
+    });
+    // Application-level keepalive. Empirically, OpenAI's GA Realtime
+    // edge closes idle parked sockets within ~6-7 s — WS-level PINGs
+    // alone are not counted as activity. Re-sending the (idempotent)
+    // `session.update` every 3 s keeps the session alive across the
+    // 3-15 s ringing window. Cancelled in `adoptWebSocket` when the
+    // live adapter takes over. Billing safety: `session.update` bills
+    // no tokens (no model invocation).
+    const keepalive = setInterval(() => {
+      if (ws.readyState !== ws.OPEN) {
+        clearInterval(keepalive);
+        return;
+      }
+      try {
+        ws.send(JSON.stringify({ type: 'session.update', session: this.buildGASessionConfig() }));
+      } catch {
+        clearInterval(keepalive);
+      }
+    }, 3000);
+    (ws as unknown as { _parkedKeepalive?: NodeJS.Timeout })._parkedKeepalive = keepalive;
+    return ws;
+  }
+
+  /**
+   * GA-API variant of {@link OpenAIRealtimeAdapter.adoptWebSocket}. Takes
+   * over a WS that {@link openParkedConnection} produced (already through
+   * `session.created` + `session.update` + `session.updated`) and arms
+   * the heartbeat + message listener so the GA event-translation shim
+   * is wired up. Skips the cold-connect path — saves ~300-600 ms on
+   * first audible word.
+   *
+   * Caller MUST verify `ws.readyState === OPEN` before calling. If the
+   * parked WS died between park and adopt, fall back to {@link connect}.
+   */
+  override adoptWebSocket(ws: WebSocket): void {
+    // Cancel the parked keepalive before the live adapter starts
+    // sending its own frames — otherwise the interval would race
+    // input_audio_buffer.append writes on the same socket.
+    const wsAny = ws as unknown as { _parkedKeepalive?: NodeJS.Timeout };
+    if (wsAny._parkedKeepalive) {
+      clearInterval(wsAny._parkedKeepalive);
+      delete wsAny._parkedKeepalive;
+    }
+    this.ws = ws;
+    // Re-attach the GA event-translation `ws.on` shim BEFORE
+    // `armHeartbeatAndListener` registers the persistent message
+    // listener — otherwise GA event names fall through to the v1
+    // dispatcher's no-op branch and audio is silently dropped. This
+    // mirrors the patch the parent `connect` installs on its
+    // freshly-opened socket; we apply it to the adopted one too.
+    const wsRef = ws as unknown as {
+      on: (event: string, handler: (...args: unknown[]) => void) => unknown;
+    };
+    const originalOn = wsRef.on.bind(ws);
+    wsRef.on = (event: string, handler: (...args: unknown[]) => void): unknown => {
+      if (event !== 'message') return originalOn(event, handler);
+      const wrapped = (raw: unknown, ...rest: unknown[]): void => {
+        try {
+          const text = typeof raw === 'string' ? raw : (raw as Buffer).toString();
+          const parsed = JSON.parse(text) as { type?: string };
+          const t = parsed.type;
+          if (t && Object.prototype.hasOwnProperty.call(GA_TO_V1_EVENT_NAMES, t)) {
+            (parsed as { type?: string }).type = GA_TO_V1_EVENT_NAMES[t];
+            handler(JSON.stringify(parsed), ...rest);
+            return;
+          }
+        } catch {
+          /* fall through */
+        }
+        handler(raw, ...rest);
+      };
+      return originalOn(event, wrapped);
+    };
+    this.armHeartbeatAndListener();
+  }
+
   /**
    * GA-API variant of {@link OpenAIRealtimeAdapter.sendFirstMessage}. Two
    * differences from the v1 path:
@@ -398,21 +560,21 @@ export class OpenAIRealtime2Adapter extends OpenAIRealtimeAdapter {
   }
 
   async sendFirstMessage(text: string): Promise<void> {
-    // Bypass reasoning for the first message: this is a literal "say
-    // exactly X" instruction, not an open question, so the reasoning
-    // tier inherited from the session (`reasoningEffort` — typically
-    // "low" for production voice) only adds time-to-first-audio without
-    // changing the output. Forcing `minimal` here lets the first message
-    // start streaming as fast as possible; subsequent VAD-triggered
-    // `response.create`s continue to use the session's reasoning tier.
-    this.ws?.send(JSON.stringify({
-      type: 'response.create',
-      response: {
-        output_modalities: ['audio'],
-        audio: { output: { voice: this.voice } },
-        reasoning: { effort: 'minimal' },
-        instructions: `Say exactly the following sentence as your first turn and nothing else: "${text}"`,
-      },
-    }));
+    // ``reasoning.effort`` is only accepted by the flagship GA variants
+    // (``gpt-realtime``, ``gpt-realtime-2``). The cost-tier
+    // ``gpt-realtime-mini`` rejects it with "Unsupported option for
+    // this model" and the first message never reaches the carrier.
+    // Forward the field only when the caller explicitly opted into a
+    // tier — the session.update already configured the inherited tier
+    // for subsequent VAD-driven turns.
+    const responseBody: Record<string, unknown> = {
+      output_modalities: ['audio'],
+      audio: { output: { voice: this.voice } },
+      instructions: `Say exactly the following sentence as your first turn and nothing else: "${text}"`,
+    };
+    if (this.options.reasoningEffort !== undefined) {
+      responseBody.reasoning = { effort: this.options.reasoningEffort };
+    }
+    this.ws?.send(JSON.stringify({ type: 'response.create', response: responseBody }));
   }
 }
diff --git a/libraries/typescript/src/providers/openai-realtime.ts b/libraries/typescript/src/providers/openai-realtime.ts
index 97dd20b6..57a539bb 100644
--- a/libraries/typescript/src/providers/openai-realtime.ts
+++ b/libraries/typescript/src/providers/openai-realtime.ts
@@ -247,7 +247,6 @@ export class OpenAIRealtimeAdapter {
         const sock = new WebSocket(url, {
           headers: {
             Authorization: `Bearer ${this.apiKey}`,
-            'OpenAI-Beta': 'realtime=v1',
           },
         });
         const timer = setTimeout(() => {
@@ -335,7 +334,6 @@ export class OpenAIRealtimeAdapter {
     this.ws = new WebSocket(url, {
       headers: {
         Authorization: `Bearer ${this.apiKey}`,
-        'OpenAI-Beta': 'realtime=v1',
       },
     });
 
@@ -437,7 +435,6 @@ export class OpenAIRealtimeAdapter {
     const ws = new WebSocket(url, {
       headers: {
         Authorization: `Bearer ${this.apiKey}`,
-        'OpenAI-Beta': 'realtime=v1',
       },
     });
     await new Promise<void>((resolve, reject) => {
@@ -610,22 +607,29 @@ export class OpenAIRealtimeAdapter {
    */
   cancelResponse(): void {
     if (!this.ws) return;
-    if (this.currentResponseItemId) {
-      let audioEndMs = this.currentResponseAudioMs;
-      if (this.currentResponseFirstAudioAt !== null) {
-        const elapsedMs = Date.now() - this.currentResponseFirstAudioAt;
-        audioEndMs = Math.min(audioEndMs, Math.max(elapsedMs, 0));
-      }
-      try {
-        this.ws.send(JSON.stringify({
-          type: 'conversation.item.truncate',
-          item_id: this.currentResponseItemId,
-          content_index: 0,
-          audio_end_ms: audioEndMs,
-        }));
-      } catch (err) {
-        getLogger().debug?.(`conversation.item.truncate failed: ${String(err)}`);
-      }
+    if (!this.currentResponseItemId) {
+      // No response in flight — nothing to cancel. OpenAI Realtime GA
+      // rejects an unconditional ``response.cancel`` with
+      // ``response_cancel_not_active``, which surfaces as ERROR-level
+      // log spam on every phantom VAD ``speech_started`` (echo of
+      // agent audio, voicemail beep, line noise). Silent no-op here
+      // keeps the cancel idempotent across stale callers.
+      return;
+    }
+    let audioEndMs = this.currentResponseAudioMs;
+    if (this.currentResponseFirstAudioAt !== null) {
+      const elapsedMs = Date.now() - this.currentResponseFirstAudioAt;
+      audioEndMs = Math.min(audioEndMs, Math.max(elapsedMs, 0));
+    }
+    try {
+      this.ws.send(JSON.stringify({
+        type: 'conversation.item.truncate',
+        item_id: this.currentResponseItemId,
+        content_index: 0,
+        audio_end_ms: audioEndMs,
+      }));
+    } catch (err) {
+      getLogger().debug?.(`conversation.item.truncate failed: ${String(err)}`);
     }
     this.ws.send(JSON.stringify({ type: 'response.cancel' }));
     // Reset per-response tracking so any post-cancel late frames and the
@@ -644,6 +648,20 @@ export class OpenAIRealtimeAdapter {
     this.ws?.send(JSON.stringify({ type: 'response.create' }));
   }
 
+  /**
+   * Trigger `response.create` with no new user item.
+   *
+   * Used by the Realtime stream-handler to drive a response after the
+   * client-side hallucination filter accepts an
+   * `input_audio_transcription.completed` event. The server VAD config
+   * sets `create_response: false` so OpenAI no longer auto-creates a
+   * response on every `input_audio_buffer.committed`; Patter is now
+   * responsible for triggering it explicitly when a real user turn lands.
+   */
+  async requestResponse(): Promise<void> {
+    this.ws?.send(JSON.stringify({ type: 'response.create' }));
+  }
+
   /**
    * Make the AI speak ``text`` as its opening line.
    *
diff --git a/libraries/typescript/src/providers/silero-vad.ts b/libraries/typescript/src/providers/silero-vad.ts
index e4a1261b..3ec5c63e 100644
--- a/libraries/typescript/src/providers/silero-vad.ts
+++ b/libraries/typescript/src/providers/silero-vad.ts
@@ -416,6 +416,19 @@ export class SileroVAD implements VADProvider {
   static forPhoneCall(options: SileroVADOptions = {}): Promise<SileroVAD> {
     return SileroVAD.load({
       sampleRate: 16000,
+      // Telephony bumps the activation threshold from the upstream
+      // 0.5 → 0.8 (with deactivation 0.65) so background voices and
+      // low-volume audio in the caller's room don't trip barge-in.
+      // Near-mic speech typically scores 0.85-0.98 on Silero — above
+      // 0.8 — while a distant second speaker through a phone's noise-
+      // suppression pipeline lands around 0.4-0.6 and is now correctly
+      // ignored. Bumped twice during 2026-05-20 acceptance: first 0.5
+      // → 0.7 (still triggered on quiet voices), then 0.7 → 0.8.
+      // Trade-off: a whispered legitimate input may not trigger;
+      // typical phone-call speakers are unaffected. Pass an explicit
+      // ``activationThreshold`` to override per call site.
+      activationThreshold: 0.8,
+      deactivationThreshold: 0.65,
       ...options,
     });
   }
diff --git a/libraries/typescript/src/providers/twilio-adapter.ts b/libraries/typescript/src/providers/twilio-adapter.ts
index 209fbb58..1a3d62e2 100644
--- a/libraries/typescript/src/providers/twilio-adapter.ts
+++ b/libraries/typescript/src/providers/twilio-adapter.ts
@@ -203,17 +203,37 @@ export class TwilioAdapter {
   }
 
   /**
-   * Build a minimal ``<Response><Connect><Stream url="..."/></Connect></Response>``
-   * TwiML document. Mirrors the Python adapter's ``generate_stream_twiml``.
+   * Build a ``<Response><Connect><Stream url="...">`` TwiML document.
+   *
+   * ``parameters`` is forwarded as ``<Parameter name="..." value="..."/>``
+   * children of ``<Stream>``. Twilio Media Streams strips query-string params
+   * from the ``<Stream url=...>`` before the WS handshake, so
+   * ``<Parameter>`` tags are the supported way to pre-populate
+   * ``start.customParameters`` on the WS ``start`` frame. Used by the
+   * inbound path to carry caller / callee through to the bridge.
+   *
+   * Mirrors the Python adapter's ``generate_stream_twiml``.
    */
-  static generateStreamTwiml(streamUrl: string): string {
-    const escaped = streamUrl
-      .replace(/&/g, '&amp;')
-      .replace(/</g, '&lt;')
-      .replace(/>/g, '&gt;')
-      .replace(/"/g, '&quot;')
-      .replace(/'/g, '&apos;');
-    return `<?xml version="1.0" encoding="UTF-8"?><Response><Connect><Stream url="${escaped}"/></Connect></Response>`;
+  static generateStreamTwiml(
+    streamUrl: string,
+    parameters?: Record<string, string>,
+  ): string {
+    const esc = (s: string): string =>
+      s
+        .replace(/&/g, '&amp;')
+        .replace(/</g, '&lt;')
+        .replace(/>/g, '&gt;')
+        .replace(/"/g, '&quot;')
+        .replace(/'/g, '&apos;');
+    const escapedUrl = esc(streamUrl);
+    let paramTags = '';
+    if (parameters) {
+      for (const [name, value] of Object.entries(parameters)) {
+        if (value == null) continue;
+        paramTags += `<Parameter name="${esc(name)}" value="${esc(String(value))}"/>`;
+      }
+    }
+    return `<?xml version="1.0" encoding="UTF-8"?><Response><Connect><Stream url="${escapedUrl}">${paramTags}</Stream></Connect></Response>`;
   }
 
   /** Force-complete an in-progress call. */
diff --git a/libraries/typescript/src/server.ts b/libraries/typescript/src/server.ts
index 2a409323..c3b71e85 100644
--- a/libraries/typescript/src/server.ts
+++ b/libraries/typescript/src/server.ts
@@ -1488,10 +1488,15 @@ export class EmbeddedServer {
         const resolvedCaller = dataCaller || active?.caller || '';
         const resolvedCallee = dataCallee || active?.callee || '';
         // Fire-and-forget: call logging must never block the voice flow.
+        const resolvedDirection =
+          (typeof data.direction === 'string' ? data.direction : '') ||
+          active?.direction ||
+          'inbound';
         void logger
           .logCallStart(callId, {
             caller: resolvedCaller,
             callee: resolvedCallee,
+            direction: resolvedDirection,
             telephonyProvider: bridge.telephonyProvider,
             providerMode: agent.provider ?? '',
             agent: agentSnapshot(),
diff --git a/libraries/typescript/src/services/call-log.ts b/libraries/typescript/src/services/call-log.ts
index 83f82f04..a08f5ed0 100644
--- a/libraries/typescript/src/services/call-log.ts
+++ b/libraries/typescript/src/services/call-log.ts
@@ -89,9 +89,16 @@ function retentionDays(): number {
 }
 
 function redactMode(): RedactMode {
-  const raw = (process.env.PATTER_LOG_REDACT_PHONE || 'mask').trim().toLowerCase();
+  // Default ``full`` (changed from ``mask`` on 2026-05-21): the dashboard
+  // UI's reveal toggle (``revealed=true`` in ``format.ts:fmtPhone``) cannot
+  // reconstruct a raw number once the persisted record has already been
+  // masked, so storing raw on disk is required for the toggle to actually
+  // work. The on-disk path (platform user data dir) is user-private.
+  // Override with ``PATTER_LOG_REDACT_PHONE=mask`` for setups that ship
+  // logs off-host.
+  const raw = (process.env.PATTER_LOG_REDACT_PHONE || 'full').trim().toLowerCase();
   if (raw === 'full' || raw === 'mask' || raw === 'hash_only') return raw;
-  return 'mask';
+  return 'full';
 }
 
 function redactPhone(raw: string): string {
@@ -146,6 +153,7 @@ async function appendJsonl(filePath: string, record: unknown): Promise<void> {
 export interface CallStartInput {
   readonly caller?: string;
   readonly callee?: string;
+  readonly direction?: string;
   readonly telephonyProvider?: string;
   readonly providerMode?: string;
   readonly agent?: Record<string, unknown>;
@@ -230,6 +238,7 @@ export class CallLogger {
       status: 'in_progress',
       caller: redactPhone(input.caller ?? ''),
       callee: redactPhone(input.callee ?? ''),
+      direction: input.direction || 'inbound',
       telephony_provider: input.telephonyProvider ?? '',
       provider_mode: input.providerMode ?? '',
       agent: input.agent ?? {},
diff --git a/libraries/typescript/src/stream-handler.ts b/libraries/typescript/src/stream-handler.ts
index 52817b03..0dfd21b3 100644
--- a/libraries/typescript/src/stream-handler.ts
+++ b/libraries/typescript/src/stream-handler.ts
@@ -121,12 +121,35 @@ function isValidE164(number: string): boolean {
  * Short words / phrases that Whisper (and, less often, Deepgram) routinely
  * emit when fed silence or TTS echo on mulaw 8 kHz. Dropping them as turns
  * prevents the caller from entering a feedback loop where every silent frame
- * triggers a new LLM+TTS turn.
+ * triggers a new LLM+TTS turn. Parity with Python `_STT_HALLUCINATIONS`.
+ *
+ * Whisper-specific full-phrase hallucinations: the model's training set was
+ * dominated by YouTube captions — on silence / echo it falls back to the most
+ * common training-set closers. These fire hard on PSTN echo loopback when the
+ * agent's outbound audio bleeds into the input buffer and the upstream VAD
+ * commits a "non-empty" segment to transcription.
+ * Comparison happens against the lower-cased + stripped form.
  */
 const HALLUCINATIONS = new Set([
   'you', 'thank you', 'thanks', 'yeah', 'yes', 'no',
   'okay', 'ok', 'uh', 'um', 'mmm', 'hmm', '.', 'bye',
   'right', 'cool',
+  // Whisper YouTube-caption hallucinations
+  'thank you for watching',
+  'thanks for watching',
+  'thank you for watching!',
+  'thanks for watching!',
+  'thank you so much for watching',
+  'thanks for listening',
+  'please subscribe',
+  'subscribe',
+  'music',
+  '[music]',
+  '♪',
+  '[no audio]',
+  '[silence]',
+  '[blank_audio]',
+  '(silence)',
 ]);
 
 // ---------------------------------------------------------------------------
@@ -316,13 +339,17 @@ export class StreamHandler {
    * Same as the AEC variant but for deployments where AEC is OFF
    * (default on PSTN — Twilio/Telnyx). Without an adaptive filter to
    * converge, the only justification for a gate is anti-flicker on
-   * micro-events (cough, click). 100 ms covers the first PSTN echo
-   * round-trip (~40-100 ms) while allowing barge-in from 100 ms into
-   * the agent's turn — covering nearly all of any response.
-   * Previously 250 ms, which blocked barge-in entirely on short (<500 ms)
-   * agent responses.
+   * micro-events (cough, click). Raised 100 → 500 ms on 2026-05-19
+   * after the 0.6.2 acceptance run showed a phantom VAD speech_start
+   * firing on the very first inbound frame (~500 ms into the call,
+   * which is past a 100 ms gate). The phantom barge-in cancelled the
+   * prewarmed firstMessage, the user heard a clipped (graffiante)
+   * audio fragment, and the SDK left ``_turnAlreadyClosed=true`` so
+   * subsequent ``recordTurnComplete`` calls were no-ops. 500 ms
+   * filters those phantoms while still letting a real interruption
+   * land within half a second of agent onset.
    */
-  private static readonly MIN_AGENT_SPEAKING_MS_BEFORE_BARGE_IN_NO_AEC = 100;
+  private static readonly MIN_AGENT_SPEAKING_MS_BEFORE_BARGE_IN_NO_AEC = 500;
   /** Handle for the pending grace-period timer, so it can be cleared on cleanup. */
   private graceTimer: ReturnType<typeof setTimeout> | null = null;
   /**
@@ -367,30 +394,12 @@ export class StreamHandler {
    * coexist without name collisions even when firstMessage finishes while
    * a Realtime turn is still streaming.
    */
-  private firstMessageMarkCounter = 0;
-  /**
-   * Maximum unconfirmed Twilio marks while streaming firstMessage. Each
-   * chunk is 40 ms of audio at 16 kHz PCM16, so a window of 3 caps
-   * the in-flight queue at ~120 ms. This means a barge-in's
-   * ``sendClear`` has at most 120 ms of already-buffered audio to flush
-   * — vs. ~2-5 s with the previous burst-send code, which was the
-   * root cause of "firstMessage non interrompibile". Higher values
-   * smooth playback under jittery RTT (each mark echo adds ~150-250 ms
-   * RTT on PSTN) at the cost of longer barge-in latency; lower values
-   * risk under-buffering. 3 hit the smallest barge-in cap without
-   * audible gaps in 2026-05 acceptance.
-   */
-  private static readonly FIRST_MESSAGE_MARK_WINDOW = 3;
-  /**
-   * Per-chunk soft timeout (ms) while awaiting a mark echo. Twilio's
-   * mark echoes typically arrive within 100-250 ms of audio playback.
-   * Capping at 500 ms guards against carriers (or test doubles) that
-   * never echo — without it a stalled echo would deadlock the loop and
-   * the agent would freeze mid-utterance. On timeout we drop the
-   * waiter from the queue and continue: playout may glitch by one
-   * chunk but the call stays alive.
-   */
-  private static readonly MARK_AWAIT_TIMEOUT_MS = 500;
+  // firstMessageMarkCounter / FIRST_MESSAGE_MARK_WINDOW /
+  // MARK_AWAIT_TIMEOUT_MS were retired with the move to the Twilio-FIFO-
+  // trusts model (sendPacedFirstMessageBytes no longer emits marks).
+  // Marks are still consumed via ``onMark`` for any adapter that wants
+  // to round-trip one, but the firstMessage path no longer back-pressures
+  // on them.
   /**
    * Minimum drain window (ms) between a ``cancelSpeaking`` and the next
    * ``beginSpeaking``. 150 ms covers a typical PSTN jitter buffer drain
@@ -490,6 +499,24 @@ export class StreamHandler {
         // No-op — abort() throws nothing in modern runtimes, but be defensive.
       }
     }
+    // Force-close any in-flight TTS streaming socket. Without this, the
+    // firstMessage live ``synthesizeStream`` path (used when the prewarm
+    // accumulator hadn't completed before pickup) would block on its
+    // inner ``await Promise<frame>`` for 30 s — ``initPipeline`` would
+    // never return, the STT ``onTranscript`` callback would never
+    // register, and every subsequent user turn would be silently
+    // dropped. Provider-duck-typed: adapters that don't expose
+    // ``cancelActiveStream`` are no-ops here.
+    const ttsCancelable = this.tts as
+      | { cancelActiveStream?: () => void }
+      | undefined;
+    if (typeof ttsCancelable?.cancelActiveStream === 'function') {
+      try {
+        ttsCancelable.cancelActiveStream();
+      } catch (err) {
+        getLogger().debug(`TTS cancelActiveStream raised: ${String(err)}`);
+      }
+    }
   }
 
   /**
@@ -509,61 +536,22 @@ export class StreamHandler {
     this.pendingMarks.length = 0;
   }
 
-  /**
-   * Push a Twilio ``mark`` event AFTER the corresponding audio chunk and
-   * return a promise that resolves when the mark is echoed back via
-   * ``onMark`` (or when ``cancelSpeaking`` drains the queue, or after
-   * ``MARK_AWAIT_TIMEOUT_MS``). Returns null on non-Twilio carriers — the
-   * caller is expected to fall back to time-based pacing in that case.
-   */
-  private sendMarkAwaitable(): Promise<void> | null {
-    if (this.deps.bridge.telephonyProvider !== 'twilio') return null;
-    this.firstMessageMarkCounter += 1;
-    const markName = `fm_${this.firstMessageMarkCounter}`;
-    let resolve!: () => void;
-    const promise = new Promise<void>((r) => {
-      resolve = r;
-    });
-    this.pendingMarks.push({ name: markName, resolve, promise });
-    try {
-      this.deps.bridge.sendMark(this.ws, markName, this.streamSid);
-    } catch (err) {
-      getLogger().debug(`sendMark failed (${markName}): ${String(err)}`);
-      // Drop the waiter immediately so the queue doesn't fill with
-      // never-resolving entries that block the window.
-      const idx = this.pendingMarks.findIndex((m) => m.name === markName);
-      if (idx >= 0) this.pendingMarks.splice(idx, 1);
-      return Promise.resolve();
-    }
-    return promise;
-  }
+  // Mark-based back-pressure (sendMarkAwaitable / waitForMarkWindow)
+  // was removed when sendPacedFirstMessageBytes switched to the
+  // Twilio-FIFO-trusts model — see that method's doc comment for
+  // rationale. ``pendingMarks`` and ``onMark`` are still kept so an
+  // adapter that wants to round-trip a mark for some other purpose can
+  // still do so without breaking the firstMessage path.
 
   /**
-   * If the in-flight mark queue is at or above ``FIRST_MESSAGE_MARK_WINDOW``
-   * entries, wait for the oldest entry to clear (mark echoed, agent
-   * cancelled, or per-mark timeout). Repeats until the queue depth is
-   * within the window — under high RTT the carrier may have several
-   * marks queued and we want every loop iteration to be naturally back-
-   * pressured by playback.
+   * Bytes-per-millisecond for a 16 kHz PCM16 mono stream. Used by
+   * ``sendPacedFirstMessageBytes`` to translate chunk size into a
+   * playout-duration sleep so we never deliver faster than the carrier
+   * can decode + play out (which manifested as severe crackling on the
+   * HTTP-TTS path with client-side resampling). 16000 samples/sec × 2
+   * bytes/sample = 32 bytes/ms.
    */
-  private async waitForMarkWindow(): Promise<void> {
-    while (
-      this.isSpeaking &&
-      this.pendingMarks.length >= StreamHandler.FIRST_MESSAGE_MARK_WINDOW
-    ) {
-      const oldest = this.pendingMarks[0];
-      const timeout = new Promise<void>((resolve) =>
-        setTimeout(resolve, StreamHandler.MARK_AWAIT_TIMEOUT_MS),
-      );
-      await Promise.race([oldest.promise, timeout]);
-      // Drop the head if it's still the same entry — onMark would
-      // have already removed it on echo; only a timeout leaves it
-      // in place.
-      if (this.pendingMarks[0] === oldest) {
-        this.pendingMarks.shift();
-      }
-    }
-  }
+  private static readonly PCM16_16K_BYTES_PER_MS = 32;
 
   /** Cancel and clear the pending grace timer, if any. */
   private clearGraceTimer(): void {
@@ -1375,6 +1363,23 @@ export class StreamHandler {
   /** Handle call stop / stream end. */
   /** Handle a carrier-emitted `stop` event signalling the call has ended. */
   async handleStop(): Promise<void> {
+    // Abort any in-flight LLM stream and close any in-flight TTS WS so
+    // the runPipelineLlm / synthesizeStream awaits unblock immediately
+    // instead of waiting up to 30 s for their own watchdog timers.
+    // Without this, the carrier's ``stop`` event ends the call but a
+    // pending TTS WS frame-wait fires a stale ``LLM loop error`` /
+    // ``TTS streaming error`` log line tens of seconds later, and in
+    // rapid-conversation scenarios where the user hangs up mid-response
+    // the in-flight call kept billing tokens after the carrier was gone.
+    if (this.llmAbort !== null) {
+      try { this.llmAbort.abort(); } catch { /* defensive */ }
+    }
+    const ttsCancelable = this.tts as
+      | { cancelActiveStream?: () => void }
+      | undefined;
+    if (typeof ttsCancelable?.cancelActiveStream === 'function') {
+      try { ttsCancelable.cancelActiveStream(); } catch { /* defensive */ }
+    }
     // Drop any pending barge-in timer BEFORE we tear down metrics /
     // adapters. Without this, a call that ends while a barge-in is
     // pending leaves a setTimeout scheduled to fire ``bargeInConfirmMs``
@@ -1391,7 +1396,6 @@ export class StreamHandler {
     // ``fm_<n>`` numbering at 1 on the next call. See
     // ``sendPacedFirstMessageBytes`` for the per-send reset that
     // protects the within-call path.
-    this.firstMessageMarkCounter = 0;
     this.clearGraceTimer();
     this.flushResamplers();
     await this.closeSttOnce();
@@ -1402,6 +1406,17 @@ export class StreamHandler {
   /** Handle WebSocket close event. */
   /** Tear down adapter, STT/TTS, and per-call state when the carrier WebSocket closes. */
   async handleWsClose(): Promise<void> {
+    // Mirror handleStop's in-flight cleanup so a carrier WebSocket drop
+    // unblocks LLM / TTS awaits immediately — see comment there.
+    if (this.llmAbort !== null) {
+      try { this.llmAbort.abort(); } catch { /* defensive */ }
+    }
+    const ttsCancelable = this.tts as
+      | { cancelActiveStream?: () => void }
+      | undefined;
+    if (typeof ttsCancelable?.cancelActiveStream === 'function') {
+      try { ttsCancelable.cancelActiveStream(); } catch { /* defensive */ }
+    }
     // See handleStop — drop pending barge-in timer before cleanup so a
     // dead handler can never fire a stale recordOverlapEnd callback.
     this.clearPendingBargeIn();
@@ -1409,7 +1424,6 @@ export class StreamHandler {
     // carrier WS drop during the paced sender cannot leak unresolved
     // promises owned by the send loop, and reset the counter.
     this.drainPendingMarks();
-    this.firstMessageMarkCounter = 0;
     this.clearGraceTimer();
     this.flushResamplers();
     // Drain STT first so in-flight transcripts fire before onCallEnd.
@@ -1444,14 +1458,50 @@ export class StreamHandler {
    * Maintains a 1-byte carry across calls so unaligned HTTP chunks from
    * streaming TTS providers never byte-swap the PCM16 samples downstream.
    */
-  private encodePipelineAudio(pcm16k: Buffer): string {
-    const aligned = this.alignPcm16(pcm16k);
+  private encodePipelineAudio(audioChunk: Buffer): string {
+    // Carrier-native fast path: when the TTS adapter is configured to
+    // emit ``ulaw_8000`` (Twilio wire codec) the bytes coming in are
+    // already in the format Twilio expects. Skip the 16 kHz → 8 kHz
+    // resample and the PCM → μ-law encode entirely — base64 the raw
+    // bytes and hand them to the carrier. This eliminates the client-
+    // side DSP chain that produced audible artifacts on the prewarmed
+    // firstMessage during 0.6.2 acceptance (the resampler-bursting
+    // crackle the user reported).
+    if (this.ttsOutputFormatNativeForCarrier === true) {
+      return audioChunk.toString('base64');
+    }
+    const aligned = this.alignPcm16(audioChunk);
     if (aligned.length === 0) return '';
     const pcm8k = this.outboundResampler.process(aligned);
     const mulaw = pcm16ToMulaw(pcm8k);
     return mulaw.toString('base64');
   }
 
+  /**
+   * Cached result of ``isTtsOutputFormatNativeForCarrier()`` — settled
+   * once at ``initPipeline`` time after ``setTelephonyCarrier`` has run
+   * on the TTS adapter. Stable for the call lifetime: changes to the
+   * adapter's output format mid-call would NOT flip this. ``true`` means
+   * ``encodePipelineAudio`` can take the bypass path.
+   */
+  private ttsOutputFormatNativeForCarrier: boolean = false;
+
+  /**
+   * Probe whether the TTS adapter is configured to emit bytes already in
+   * the carrier's wire codec. Currently: Twilio expects ``ulaw_8000``,
+   * Telnyx expects ``pcm_16000`` (no client transcode in either case if
+   * matched). Anything else takes the resample-and-encode path.
+   */
+  private isTtsOutputFormatNativeForCarrier(): boolean {
+    if (!this.tts) return false;
+    const fmt = (this.tts as { outputFormat?: string }).outputFormat;
+    if (typeof fmt !== 'string') return false;
+    const carrier = this.deps.bridge.telephonyProvider;
+    if (carrier === 'twilio') return fmt === 'ulaw_8000';
+    if (carrier === 'telnyx') return fmt === 'pcm_16000';
+    return false;
+  }
+
   /**
    * Prepend any carry byte from the previous chunk, return the even-length
    * portion, and stash the final odd byte (if any) for the next call.
@@ -1466,18 +1516,11 @@ export class StreamHandler {
     return combined.subarray(0, alignedLen);
   }
 
-  /**
-   * 40 ms @ 16 kHz mono PCM16 = 1280 bytes. Sized to mirror the smallest
-   * live-TTS chunk boundary so cancel granularity (mark/clear bookkeeping)
-   * is identical regardless of whether the firstMessage came from the
-   * prewarm cache or a live ``tts.synthesizeStream`` stream.
-   */
-  private static readonly PREWARM_CHUNK_BYTES = 1280;
-
   /**
    * Stream a cached firstMessage buffer in pacing-friendly chunks.
    *
-   * Splits ``prewarmBytes`` into ``PREWARM_CHUNK_BYTES`` slices and
+   * Splits ``prewarmBytes`` into 20 ms slices (matching Twilio's PSTN
+   * frame quantum) and
    * forwards each through ``deps.bridge.sendAudio`` exactly like the
    * live TTS path does — preserving Twilio mark/clear granularity. A
    * single multi-second sendAudio call would push the whole intro into
@@ -1494,7 +1537,7 @@ export class StreamHandler {
   }
 
   /**
-   * Iterate ``bytes`` as ``PREWARM_CHUNK_BYTES``-sized PCM16 slices and
+   * Iterate ``bytes`` in 20 ms slices (Twilio PSTN frame quantum) and
    * forward each via ``deps.bridge.sendAudio`` with mark-gated pacing
    * (Twilio) or playout-time-based pacing (Telnyx). Caps the carrier-
    * side buffer at ``FIRST_MESSAGE_MARK_WINDOW`` chunks so a barge-in's
@@ -1510,41 +1553,52 @@ export class StreamHandler {
    * metrics. See BUG #128 for the regression this fix targets.
    */
   private async sendPacedFirstMessageBytes(bytes: Buffer): Promise<boolean> {
-    // Reset the per-send mark counter so each invocation produces a
-    // fresh ``fm_1, fm_2, ...`` sequence. Without this the counter
-    // grows monotonically across turns on a re-used handler and a
-    // stale ``fm_N`` echo from an earlier turn could match a mark
-    // name issued later, corrupting the FIFO matching in ``onMark``.
-    // The queue is also expected empty here by ``cancelSpeaking`` /
-    // ``handleStop`` / ``handleWsClose``; drain defensively if not.
+    // Reset any stale mark state defensively — we don't emit marks on
+    // this path but ``onMark`` and the rest of the handler rely on the
+    // counter being monotonic across the call lifetime.
     if (this.pendingMarks.length > 0) this.drainPendingMarks();
-    this.firstMessageMarkCounter = 0;
     let firstChunkSent = false;
-    // Burst delivery: send all chunks back-to-back, exactly like the live
-    // TTS path (synthesizeSentence / firstMessage live fallback). Twilio
-    // explicitly accepts "media messages of any size" — frames are
-    // "buffered and played in the order received" by the carrier-side
-    // media server, which is the source of truth for the 8 kHz playout
-    // clock. Earlier revisions paced each chunk by ``playoutMs`` via
-    // setTimeout to "throttle to the playout rate", but JavaScript
-    // setTimeout drift + the cumulative ``waitForMarkWindow`` wait
-    // pushed effective delivery BELOW Twilio's playout rate on long
-    // intros (the prewarm cache is typically 2-4 s of audio), producing
-    // periodic carrier-side buffer underruns audible to the caller as
-    // slow, gravelly, intermittent playback. Marks are still emitted
-    // per chunk so a barge-in's ``sendClear`` still has fine-grained
-    // granularity to cut.
-    for (let i = 0; i < bytes.length; i += StreamHandler.PREWARM_CHUNK_BYTES) {
+    // Slice on the PSTN/G.711 packet quantum (20 ms). Twilio Media
+    // Streams emits and consumes 20 ms μ-law frames natively, so each
+    // ``sendAudio`` corresponds to exactly one carrier-side frame.
+    const PSTN_FRAME_MS = 20;
+    const bytesPerMs = this.ttsOutputFormatNativeForCarrier
+      ? 8 // μ-law 8 kHz native (one byte per sample, 8000 sps)
+      : StreamHandler.PCM16_16K_BYTES_PER_MS; // 32 bytes/ms for PCM16 16 kHz
+    const sliceBytes = bytesPerMs * PSTN_FRAME_MS;
+    // No pacing, no mark gating. Twilio's media-stream protocol
+    // explicitly buffers and plays frames in order received — its FIFO
+    // owns the 8 kHz playout clock, not our send loop. Every attempt
+    // we've made to "help" Twilio (per-chunk sleep, mark back-pressure,
+    // initial-fill burst, absolute-clock scheduling) introduced its own
+    // jitter source: setTimeout drift, mark-echo RTT > playout window,
+    // or burst-then-stall patterns. The result the user heard as
+    // "scatti" / "differenza di frequenza" was the side effect of our
+    // pacing fighting the carrier clock, not the carrier itself.
+    //
+    // Mirror the pattern used by Twilio's own call-gpt reference sample
+    // and Pipecat's TwilioFrameSerializer: dump every 20 ms slice into
+    // the WebSocket back-to-back, return, let Twilio drain. For prewarm
+    // this is ~250 sendAudio calls in <50 ms for a 5 s greeting; the
+    // WebSocket buffer absorbs them and the carrier plays at exactly
+    // 50 frames/s with no further intervention from us. Barge-in still
+    // works via ``sendClear`` which flushes whatever Twilio has queued
+    // regardless of marks.
+    for (let i = 0; i < bytes.length; i += sliceBytes) {
       if (!this.isSpeaking) break; // barge-in mid-buffer — stop now
-      await this.waitForMarkWindow();
-      if (!this.isSpeaking) break;
-      const chunk = bytes.subarray(i, i + StreamHandler.PREWARM_CHUNK_BYTES);
+      const chunk = bytes.subarray(i, i + sliceBytes);
       if (!firstChunkSent) firstChunkSent = true;
-      if (this.aec) this.aec.pushFarEnd(chunk);
+      // Far-end tap is only valid when the bytes are PCM16 — the AEC's
+      // ``int16BufferToFloat32`` ingest assumes int16 LE. On the mulaw
+      // native fast path we MUST NOT push the wire bytes or AEC's
+      // reference signal becomes garbage. AEC is opt-in (off by default
+      // on PSTN), so this guard only matters when the caller opted in.
+      if (this.aec && !this.ttsOutputFormatNativeForCarrier) {
+        this.aec.pushFarEnd(chunk);
+      }
       const encoded = this.encodePipelineAudio(chunk);
       this.deps.bridge.sendAudio(this.ws, encoded, this.streamSid);
       this.markFirstAudioSent();
-      this.sendMarkAwaitable();
     }
     return firstChunkSent;
   }
@@ -1578,6 +1632,15 @@ export class StreamHandler {
           getLogger().debug(`TTS setTelephonyCarrier failed (${label}): ${String(e)}`);
         }
       }
+      // Re-evaluate after setTelephonyCarrier so the encodePipelineAudio
+      // fast path is enabled for the current carrier when the adapter
+      // auto-flipped (or the user constructed with a native format).
+      this.ttsOutputFormatNativeForCarrier = this.isTtsOutputFormatNativeForCarrier();
+      if (this.ttsOutputFormatNativeForCarrier) {
+        getLogger().debug(
+          `TTS outputFormat matches ${this.deps.bridge.telephonyProvider} wire codec — bypassing client-side transcode`,
+        );
+      }
     }
 
     if (!this.stt) {
@@ -2513,14 +2576,52 @@ export class StreamHandler {
     const label = this.deps.bridge.label;
     this.adapter = this.deps.buildAIAdapter(resolvedPrompt);
 
-    try {
-      await this.adapter.connect();
-      getLogger().debug(`AI adapter connected (${label})`);
-    } catch (e) {
-      getLogger().error(`AI adapter connect FAILED (${label}):`, e);
-      // Hang up the telephony call so it doesn't stay connected billing
-      try { await this.deps.bridge.endCall(this.callId, this.ws); } catch { /* best effort */ }
-      return;
+    // Try to adopt a Realtime WS parked during the ringing window.
+    // When present we skip the cold ``adapter.connect()`` — the
+    // parked socket has already paid the TCP + TLS + HTTP-101 +
+    // ``session.update`` ack round-trip (~300-600 ms saved on first
+    // audible word). Falls back transparently on cache miss / dead
+    // socket / adapter missing ``adoptWebSocket``.
+    let parked: import('./client').ParkedProviderConnections | undefined;
+    if (typeof this.deps.popPrewarmedConnections === 'function') {
+      try {
+        parked = this.deps.popPrewarmedConnections(this.callId);
+      } catch (err) {
+        getLogger().debug(`popPrewarmedConnections raised: ${String(err)}`);
+      }
+    }
+    const parkedRealtimeWs = parked?.openaiRealtime;
+    let adoptOk = false;
+    if (parkedRealtimeWs !== undefined) {
+      const adapterAny = this.adapter as
+        | { adoptWebSocket?: (ws: import('ws').WebSocket) => void }
+        | undefined;
+      const wsAlive = parkedRealtimeWs.readyState === 1 /* OPEN */;
+      if (typeof adapterAny?.adoptWebSocket === 'function' && wsAlive) {
+        try {
+          adapterAny.adoptWebSocket(parkedRealtimeWs);
+          getLogger().info(
+            `[CONNECT] callId=${this.callId} provider=openai_realtime source=adopted ms=0`,
+          );
+          adoptOk = true;
+        } catch (err) {
+          getLogger().debug(`Realtime adoptWebSocket failed: ${String(err)}; falling back`);
+        }
+      }
+      if (!adoptOk) {
+        try { parkedRealtimeWs.close(); } catch { /* ignore */ }
+      }
+    }
+    if (!adoptOk) {
+      try {
+        await this.adapter.connect();
+        getLogger().debug(`AI adapter connected (${label})`);
+      } catch (e) {
+        getLogger().error(`AI adapter connect FAILED (${label}):`, e);
+        // Hang up the telephony call so it doesn't stay connected billing
+        try { await this.deps.bridge.endCall(this.callId, this.ws); } catch { /* best effort */ }
+        return;
+      }
     }
 
     if (this.deps.agent.firstMessage) {
@@ -2694,8 +2795,32 @@ export class StreamHandler {
   }
 
   private async onAdapterTranscriptInput(inputText: string): Promise<void> {
+    // Hallucination filter: drop Realtime transcript_input events whose text
+    // matches a known Whisper hallucination phrase (empty, common filler, or
+    // YouTube-caption closer). These fire on PSTN echo loopback — committing
+    // them to the LLM would create phantom user turns the caller never spoke.
+    // Parity with Python stream_handler.py `transcript_input` branch.
+    const stripped = inputText.trim().toLowerCase();
+    if (HALLUCINATIONS.has(stripped) || stripped === '') {
+      getLogger().debug(
+        `Realtime transcript_input dropped (likely Whisper hallucination on silence/echo): ${sanitizeLogValue(inputText.slice(0, 60))}`,
+      );
+      this.userTranscriptPending = false;
+      return;
+    }
     getLogger().debug(`User (${this.deps.bridge.label}): ${sanitizeLogValue(inputText)}`);
     this.history.push({ role: 'user', text: inputText, timestamp: Date.now() });
+    // Hallucination filter accepted — drive response.create explicitly now
+    // that server VAD is configured with create_response: false. Without
+    // this call the model never generates a reply (the server no longer
+    // auto-creates a response on input_audio_buffer.committed). Parity with
+    // Python stream_handler.py which calls
+    // ``await self._adapter.request_response()`` at this point.
+    if (this.adapter instanceof OpenAIRealtimeAdapter) {
+      void this.adapter.requestResponse().catch((err) =>
+        getLogger().debug(`Realtime requestResponse failed: ${String(err)}`),
+      );
+    }
     // Fallback: if speech_stopped was missed (server VAD disabled, custom
     // config, ...) still start the turn here so latency is non-zero.
     if (!this.metricsAcc.turnActive) {
@@ -2887,6 +3012,29 @@ export class StreamHandler {
   }
 
   private async onAdapterSpeechInterrupt(): Promise<void> {
+    // Gate the cancel/flush path with an anti-flicker window similar to
+    // the pipeline mode. OpenAI's server VAD fires ``speech_started`` on
+    // echo of the agent's own audio in PSTN no-AEC scenarios (carrier
+    // loopback feeds our outbound mulaw back into the input buffer).
+    // Without this gate every phantom ``speech_started`` cancels the
+    // response — most visibly, the firstMessage gets truncated
+    // mid-sentence. The Realtime adapter manages its own TTS span so
+    // ``isSpeaking`` (a pipeline-only flag) stays false; consult the
+    // adapter's own response-tracking timestamp as a proxy.
+    if (this.adapter instanceof OpenAIRealtimeAdapter) {
+      const startedAt = (
+        this.adapter as unknown as { currentResponseFirstAudioAt: number | null }
+      ).currentResponseFirstAudioAt;
+      if (startedAt !== null) {
+        const elapsedMs = Date.now() - startedAt;
+        if (elapsedMs < StreamHandler.MIN_AGENT_SPEAKING_MS_BEFORE_BARGE_IN_NO_AEC) {
+          getLogger().info(
+            `Realtime barge-in suppressed (response < gate, ${elapsedMs}ms)`,
+          );
+          return;
+        }
+      }
+    }
     this.deps.bridge.sendClear(this.ws, this.streamSid);
     if (this.adapter instanceof OpenAIRealtimeAdapter) this.adapter.cancelResponse();
     this.metricsAcc.recordTurnInterrupted();
diff --git a/libraries/typescript/src/tts/elevenlabs-ws.ts b/libraries/typescript/src/tts/elevenlabs-ws.ts
index 48bed9c9..4a6f1b70 100644
--- a/libraries/typescript/src/tts/elevenlabs-ws.ts
+++ b/libraries/typescript/src/tts/elevenlabs-ws.ts
@@ -41,12 +41,18 @@ function resolveApiKey(apiKey: string | undefined): string {
 function buildOpts(opts: ElevenLabsWebSocketOptions): ElevenLabsWebSocketTTSOptions {
   // Voice ID default is owned by the provider class — passing ``undefined``
   // here lets it apply its own default (parity Python ↔ TS).
+  //
+  // CRITICAL: only forward ``outputFormat`` when the caller actually
+  // passed one. Forwarding a fallback ("pcm_16000") flips the parent's
+  // ``_outputFormatExplicit`` flag and disables the carrier-aware
+  // auto-flip in ``setTelephonyCarrier`` — on Twilio the WS would keep
+  // negotiating PCM16 16 kHz and pay the client-side resample/encode.
   const out: ElevenLabsWebSocketTTSOptions = {
     apiKey: resolveApiKey(opts.apiKey),
     modelId: opts.modelId ?? 'eleven_flash_v2_5',
-    outputFormat: opts.outputFormat ?? 'pcm_16000',
     autoMode: opts.autoMode ?? true,
   };
+  if (opts.outputFormat !== undefined) out.outputFormat = opts.outputFormat;
   if (opts.voiceId !== undefined) out.voiceId = opts.voiceId;
   if (opts.voiceSettings !== undefined) out.voiceSettings = opts.voiceSettings;
   if (opts.languageCode !== undefined) out.languageCode = opts.languageCode;
diff --git a/libraries/typescript/src/tts/elevenlabs.ts b/libraries/typescript/src/tts/elevenlabs.ts
index f8f4c293..92746301 100644
--- a/libraries/typescript/src/tts/elevenlabs.ts
+++ b/libraries/typescript/src/tts/elevenlabs.ts
@@ -63,10 +63,22 @@ export class TTS extends _ElevenLabsTTS {
     // Use the parent's options-object overload so optional fields
     // (languageCode, voiceSettings) reach the underlying provider —
     // the legacy positional signature drops them silently.
+    //
+    // CRITICAL: only forward ``outputFormat`` when the caller actually
+    // passed one. Forwarding a fallback ("pcm_16000") would flip the
+    // parent's ``_outputFormatExplicit`` flag to true and disable the
+    // carrier-aware auto-flip in ``setTelephonyCarrier`` — the prewarm
+    // path on Twilio would keep emitting PCM16 16 kHz and pay the
+    // client-side resample/encode that produced the "audio a scatti"
+    // user report. Leaving the field out lets the parent default to
+    // PCM_16000 with the explicit-flag cleared so the carrier hook can
+    // flip to ulaw_8000 at call time.
     super(resolveApiKey(opts.apiKey), {
       voiceId: opts.voiceId ?? "EXAVITQu4vr4xnSDxMaL",
       modelId: opts.modelId ?? "eleven_flash_v2_5",
-      outputFormat: (opts.outputFormat ?? "pcm_16000") as ElevenLabsOutputFormat,
+      ...(opts.outputFormat !== undefined
+        ? { outputFormat: opts.outputFormat as ElevenLabsOutputFormat }
+        : {}),
       languageCode: opts.languageCode,
       voiceSettings: opts.voiceSettings as never,
     });
diff --git a/libraries/typescript/src/version.ts b/libraries/typescript/src/version.ts
index 5b6ec49d..81d74d2d 100644
--- a/libraries/typescript/src/version.ts
+++ b/libraries/typescript/src/version.ts
@@ -1,8 +1,24 @@
 /**
- * SDK version constant — kept in sync with ``package.json``.
+ * SDK version constant — auto-derived from ``package.json`` at runtime.
  *
- * Hard-coded (rather than imported from ``package.json``) so the SDK works in
- * both bundled (no JSON loader) and ESM/CJS dual-export environments without
- * platform-specific JSON-import flags.
+ * tsup builds with ``shims: true`` so ``__dirname`` resolves to the
+ * dist directory in both CJS and ESM. Reading ``../package.json``
+ * from there always lands on the installed package's manifest. The
+ * fallback covers the (unlikely) case where the file is missing.
+ *
+ * Source of truth: ``libraries/typescript/package.json#version``.
  */
-export const VERSION = '0.5.5';
+import * as fs from 'node:fs';
+import * as path from 'node:path';
+
+function readVersion(): string {
+  try {
+    const pkgPath = path.resolve(__dirname, '..', 'package.json');
+    const pkg = JSON.parse(fs.readFileSync(pkgPath, 'utf8')) as { version?: string };
+    return typeof pkg.version === 'string' && pkg.version.length > 0 ? pkg.version : '';
+  } catch {
+    return '';
+  }
+}
+
+export const VERSION: string = readVersion();

From f16bda0196b840c8315f9a55ea8c363b5c7d3bf5 Mon Sep 17 00:00:00 2001
From: nicolotognoni <nicolo.tognoni1@gmail.com>
Date: Mon, 25 May 2026 10:48:05 +0200
Subject: [PATCH 08/11] chore(release): 0.6.2

- Bump Python (``__init__.py`` + ``pyproject.toml``) and TypeScript
  (``package.json``) to ``0.6.2``.
- Promote ``## Unreleased`` to ``## 0.6.2 (2026-05-25)`` in CHANGELOG.
- Refresh ``docs/github-banner.png`` with the new branded artwork
  (Agent / Patter stack) used by the README and the GitHub social
  preview.

Bundles the 14-bug fix wave validated live in 0fc4615 (GA Realtime
adapter, prewarm + adoption hardening, dashboard persistence, inbound
caller/callee via ``<Parameter>``, Whisper hallucination filter,
deferred ``response.create`` + ``request_response()``, version
auto-derive, persist default ON, phone-redact default ``full``,
direction in ``metadata.json``, ring-buffer turns preservation, JSONL
transcript backfill, standalone-dashboard ``call_initiated`` relay).
---
 CHANGELOG.md                           |   2 ++
 docs/github-banner.png                 | Bin 769576 -> 1036687 bytes
 libraries/python/getpatter/__init__.py |   2 +-
 libraries/python/pyproject.toml        |   2 +-
 libraries/typescript/package.json      |   2 +-
 5 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index f27e633b..1239b4cb 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,7 @@
 ## Unreleased
 
+## 0.6.2 (2026-05-25)
+
 ### Added
 
 - **`OpenAIRealtime2` / `OpenAIRealtime2Adapter` — Python GA Realtime API
diff --git a/docs/github-banner.png b/docs/github-banner.png
index 866f3f6dd42c0c17a2faeee08d0cbe300be7bd5d..75fe96ac512f304948bb5ebf301b21f55f1edb24 100644
GIT binary patch
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diff --git a/libraries/python/getpatter/__init__.py b/libraries/python/getpatter/__init__.py
index 4d8b62f4..f36a9402 100644
--- a/libraries/python/getpatter/__init__.py
+++ b/libraries/python/getpatter/__init__.py
@@ -19,7 +19,7 @@
 See ``pyproject.toml`` and the top-level README for the full matrix.
 """
 
-__version__ = "0.6.1"
+__version__ = "0.6.2"
 
 from getpatter._speech_events import (
     AgentState,
diff --git a/libraries/python/pyproject.toml b/libraries/python/pyproject.toml
index 618e6ea0..083b2e41 100644
--- a/libraries/python/pyproject.toml
+++ b/libraries/python/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "getpatter"
-version = "0.6.1"
+version = "0.6.2"
 description = "Open-source voice AI SDK — connect any AI agent to real phone calls in 4 lines of code"
 readme = "README.md"
 license = { text = "MIT" }
diff --git a/libraries/typescript/package.json b/libraries/typescript/package.json
index 047b8aad..5dc27006 100644
--- a/libraries/typescript/package.json
+++ b/libraries/typescript/package.json
@@ -1,6 +1,6 @@
 {
   "name": "getpatter",
-  "version": "0.6.1",
+  "version": "0.6.2",
   "description": "Open-source voice AI SDK — connect any AI agent to real phone calls in 4 lines of code",
   "license": "MIT",
   "author": {

From 5d1c99cba66d4539f6cb55543029ae8d0a86b419 Mon Sep 17 00:00:00 2001
From: nicolotognoni <nicolo.tognoni1@gmail.com>
Date: Mon, 25 May 2026 11:04:39 +0200
Subject: [PATCH 09/11] test(0.6.2): align CI suite with 14-bug fix wave
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Updates the Python + TypeScript regression suites to reflect the public
behaviour changes that landed in 0fc4615 / f16bda0. No source-code
behaviour changes — only test scaffolding + one defensive ``getattr``
on ``_adapter_cls.__name__`` so the debug logger doesn't trip the
``MagicMock`` patch surface used by ``test_local_mode`` /
``test_validation_guardrails``.

Python (8 fixes)
- ``test_twilio_handler.test_stream_url_contains_caller_param`` /
  ``...callee_param`` / ``test_local_mode.test_twilio_webhook_handler_url``
  now assert caller/callee travel as TwiML ``<Parameter>`` children of
  ``<Stream>`` (the ``parameters`` kwarg on ``generate_stream_twiml``)
  instead of query-string params on the WS URL — Twilio strips the
  latter before the WebSocket handshake.
- ``test_providers_io_unit.test_cancel_response_sends_cancel`` now seeds
  ``_current_response_item_id`` before calling ``cancel_response`` since
  the method is a documented no-op when no item is in flight. Added
  ``test_cancel_response_noop_when_no_item_in_flight`` to pin that
  contract.
- ``test_local_mode.test_mark_events_sent_after_audio`` /
  ``test_validation_guardrails.test_guardrail_triggers_cancel_and_replacement``
  /
  ``test_providers_unit.test_realtime_engine_forwards_reasoning_and_transcription_to_adapter``
  now patch ``OpenAIRealtime2Adapter`` (the GA adapter) instead of the
  v1-beta class — both ``openai_realtime`` and ``openai_realtime_2``
  engines route through the GA adapter after the upstream Beta API
  deprecation.
- ``stream_handler`` debug log now wraps ``_adapter_cls.__name__`` in
  ``getattr`` so the three tests above (which patch the adapter class
  with a ``MagicMock``) don't crash on the missing dunder.

TypeScript (4 fixes + 3 skips)
- ``openai-realtime.cancelResponse()`` test seeds
  ``currentResponseItemId`` and added a ``no-op when no item in flight``
  test, mirroring Python.
- ``stream-handler`` barge-in gate tests aligned with the AEC-off gate
  raised from 100 ms to 500 ms on 2026-05-19. ``canBargeIn`` / handleBargeIn
  inputs bumped 50/200/400 ms → 250/700/600 ms accordingly.
- ``prewarm.test`` no longer asserts ``prewarmFirstMessage === true`` by
  default in pipeline mode — the 2026-05-18 default-on attempt was
  reverted on 2026-05-19 (phantom barge-in interaction). Test now pins
  the opt-in semantics described in ``client.ts:536-547``.
- Three ``describe`` blocks marked ``describe.skip``:
  ``firstMessage mark-gated pacing``, ``cleanup drains pending
  firstMessage marks``, ``firstMessage mark counter resets across sends
  + on cleanup`` — the mark-window pacing plumbing they exercised was
  replaced with burst-deliver in commit 5574997
  (``sendPacedFirstMessageBytes`` / ``firstMessageMarkCounter`` /
  ``sendMarkAwaitable`` no longer exist). Kept as ``skip`` rather than
  deleted to preserve the historical intent.
---
 libraries/python/getpatter/stream_handler.py  |   5 +-
 libraries/python/tests/test_local_mode.py     | 168 +++++++++------
 libraries/python/tests/test_twilio_handler.py |  19 +-
 .../tests/test_validation_guardrails.py       |  64 +++---
 .../tests/unit/test_providers_io_unit.py      | 192 ++++++++++++++----
 .../python/tests/unit/test_providers_unit.py  |   6 +-
 .../tests/unit/openai-realtime.test.ts        |  22 +-
 .../typescript/tests/unit/prewarm.test.ts     |   9 +-
 .../tests/unit/stream-handler.test.ts         |  44 ++--
 9 files changed, 373 insertions(+), 156 deletions(-)

diff --git a/libraries/python/getpatter/stream_handler.py b/libraries/python/getpatter/stream_handler.py
index 2ed4ef51..7f87983b 100644
--- a/libraries/python/getpatter/stream_handler.py
+++ b/libraries/python/getpatter/stream_handler.py
@@ -1096,7 +1096,10 @@ async def start(self) -> None:
                     pass
         if not adopt_ok:
             await self._adapter.connect()
-        logger.debug("OpenAI Realtime connected (adapter=%s)", _adapter_cls.__name__)
+        logger.debug(
+            "OpenAI Realtime connected (adapter=%s)",
+            getattr(_adapter_cls, "__name__", repr(_adapter_cls)),
+        )
 
         if self.agent.first_message:
             # Start measuring latency for the firstMessage turn (sendText →
diff --git a/libraries/python/tests/test_local_mode.py b/libraries/python/tests/test_local_mode.py
index bcf30fd5..08fc7b42 100644
--- a/libraries/python/tests/test_local_mode.py
+++ b/libraries/python/tests/test_local_mode.py
@@ -35,7 +35,9 @@ def _twilio_phone(**kwargs) -> Patter:
 
 
 def test_local_config_defaults():
-    cfg = LocalConfig(telephony_provider="twilio", phone_number="+1555", webhook_url="x.ngrok.io")
+    cfg = LocalConfig(
+        telephony_provider="twilio", phone_number="+1555", webhook_url="x.ngrok.io"
+    )
     assert cfg.telephony_provider == "twilio"
     assert cfg.openai_key == ""
     assert cfg.twilio_sid == ""
@@ -93,7 +95,9 @@ def test_agent_pipeline_provider():
     )
     assert a.provider == "pipeline"
     assert a.voice == "21m00Tcm4TlvDq8ikWAM"
-    assert a.model == "gpt-4o-mini-realtime-preview"  # model field still present, unused in pipeline mode
+    assert (
+        a.model == "gpt-4o-mini-realtime-preview"
+    )  # model field still present, unused in pipeline mode
 
 
 def test_agent_factory_pipeline_provider():
@@ -182,11 +186,18 @@ async def test_serve_calls_embedded_server():
     mock_server = MagicMock()
     mock_server.start = AsyncMock()
 
-    with patch("getpatter.server.EmbeddedServer", return_value=mock_server) as MockServer:
+    with patch(
+        "getpatter.server.EmbeddedServer", return_value=mock_server
+    ) as MockServer:
         await phone.serve(agent, port=9000)
 
         MockServer.assert_called_once_with(
-            config=phone._local_config, agent=agent, recording=False, voicemail_message="", pricing=None, dashboard=True,
+            config=phone._local_config,
+            agent=agent,
+            recording=False,
+            voicemail_message="",
+            pricing=None,
+            dashboard=True,
             dashboard_token="",
         )
         mock_server.start.assert_called_once_with(port=9000)
@@ -241,9 +252,13 @@ def test_twilio_webhook_handler_url():
 
     MockAdapter.generate_stream_twiml.assert_called_once()
     call_args = MockAdapter.generate_stream_twiml.call_args[0][0]
-    assert call_args.startswith("wss://abc.ngrok.io/ws/stream/CA123")
-    assert "caller=" in call_args
-    assert "callee=" in call_args
+    # Stream URL is the bare wss endpoint — caller/callee no longer ride
+    # as query params (Twilio strips them); they travel as a TwiML
+    # ``<Parameter>`` child of ``<Stream>`` via the ``parameters`` kwarg.
+    assert call_args == "wss://abc.ngrok.io/ws/stream/CA123"
+    params = MockAdapter.generate_stream_twiml.call_args.kwargs.get("parameters", {})
+    assert params.get("caller") == "+14155551234"
+    assert params.get("callee") == "+15550001111"
     assert result == "<Response/>"
 
 
@@ -267,7 +282,10 @@ def test_telnyx_webhook_handler_structure():
     assert any(c["command"] == "answer" for c in commands)
     stream_cmd = next((c for c in commands if c["command"] == "stream_start"), None)
     assert stream_cmd is not None
-    assert "wss://abc.ngrok.io/ws/telnyx/stream/ctrl_123" in stream_cmd["params"]["stream_url"]
+    assert (
+        "wss://abc.ngrok.io/ws/telnyx/stream/ctrl_123"
+        in stream_cmd["params"]["stream_url"]
+    )
 
 
 # ---------------------------------------------------------------------------
@@ -314,16 +332,20 @@ async def test_twilio_stream_bridge_pipeline_sends_audio_to_stt():
     agent = Agent(system_prompt="test", provider="pipeline")
 
     # Build a fake WebSocket that returns start then a media event then stop
-    start_payload = json.dumps({
-        "event": "start",
-        "streamSid": "SID123",
-        "start": {"callSid": "CA_test"},
-    })
+    start_payload = json.dumps(
+        {
+            "event": "start",
+            "streamSid": "SID123",
+            "start": {"callSid": "CA_test"},
+        }
+    )
     mulaw_bytes = b"\x00" * 160
-    media_payload = json.dumps({
-        "event": "media",
-        "media": {"payload": base64.b64encode(mulaw_bytes).decode()},
-    })
+    media_payload = json.dumps(
+        {
+            "event": "media",
+            "media": {"payload": base64.b64encode(mulaw_bytes).decode()},
+        }
+    )
     stop_payload = json.dumps({"event": "stop"})
 
     messages = [start_payload, media_payload, stop_payload]
@@ -351,7 +373,6 @@ async def send_text(self, data):
     fake_ws = FakeWS()
 
     # Patch DeepgramSTT and ElevenLabsTTS so no real connections are made
-    import getpatter.telephony.twilio as twilio_mod
 
     mock_stt = AsyncMock()
     mock_stt.connect = AsyncMock()
@@ -372,7 +393,9 @@ async def fake_receive():
     # bridge instantiates the plain DeepgramSTT constructor — not for_twilio.
     with (
         patch("getpatter.providers.deepgram_stt.DeepgramSTT", return_value=mock_stt),
-        patch("getpatter.providers.elevenlabs_tts.ElevenLabsTTS", return_value=mock_tts),
+        patch(
+            "getpatter.providers.elevenlabs_tts.ElevenLabsTTS", return_value=mock_tts
+        ),
     ):
         # Run with a short timeout — we only care that it starts up correctly
         try:
@@ -534,15 +557,19 @@ async def test_dtmf_event_fires_transcript_callback():
 
     agent = Agent(system_prompt="test", provider="pipeline")
 
-    start_payload = json.dumps({
-        "event": "start",
-        "streamSid": "SID_dtmf",
-        "start": {"callSid": "CA_dtmf"},
-    })
-    dtmf_payload = json.dumps({
-        "event": "dtmf",
-        "dtmf": {"track": "inbound_track", "digit": "5"},
-    })
+    start_payload = json.dumps(
+        {
+            "event": "start",
+            "streamSid": "SID_dtmf",
+            "start": {"callSid": "CA_dtmf"},
+        }
+    )
+    dtmf_payload = json.dumps(
+        {
+            "event": "dtmf",
+            "dtmf": {"track": "inbound_track", "digit": "5"},
+        }
+    )
     stop_payload = json.dumps({"event": "stop"})
 
     messages = [start_payload, dtmf_payload, stop_payload]
@@ -587,7 +614,9 @@ async def fake_receive():
 
     with (
         patch("getpatter.providers.deepgram_stt.DeepgramSTT", return_value=mock_stt),
-        patch("getpatter.providers.elevenlabs_tts.ElevenLabsTTS", return_value=mock_tts),
+        patch(
+            "getpatter.providers.elevenlabs_tts.ElevenLabsTTS", return_value=mock_tts
+        ),
     ):
         try:
             await asyncio.wait_for(
@@ -612,7 +641,9 @@ async def fake_receive():
 
 def test_dtmf_event_format():
     """DTMF event payload includes digit under dtmf.digit."""
-    raw = json.loads('{"event": "dtmf", "dtmf": {"track": "inbound_track", "digit": "1"}}')
+    raw = json.loads(
+        '{"event": "dtmf", "dtmf": {"track": "inbound_track", "digit": "1"}}'
+    )
     assert raw["event"] == "dtmf"
     assert raw["dtmf"]["digit"] == "1"
 
@@ -624,7 +655,9 @@ def test_dtmf_event_format():
 
 def test_mark_event_format():
     """Mark events from Twilio include mark.name."""
-    raw = json.loads('{"event": "mark", "streamSid": "SID", "mark": {"name": "audio_3"}}')
+    raw = json.loads(
+        '{"event": "mark", "streamSid": "SID", "mark": {"name": "audio_3"}}'
+    )
     assert raw["event"] == "mark"
     assert raw["mark"]["name"] == "audio_3"
 
@@ -637,11 +670,13 @@ async def test_mark_events_sent_after_audio():
 
     agent = Agent(system_prompt="test", provider="openai_realtime")
 
-    start_payload = json.dumps({
-        "event": "start",
-        "streamSid": "SID_mark",
-        "start": {"callSid": "CA_mark"},
-    })
+    start_payload = json.dumps(
+        {
+            "event": "start",
+            "streamSid": "SID_mark",
+            "start": {"callSid": "CA_mark"},
+        }
+    )
     stop_payload = json.dumps({"event": "stop"})
     messages = [start_payload, stop_payload]
     idx = 0
@@ -683,8 +718,11 @@ async def fake_events():
     mock_adapter.receive_events = MagicMock(return_value=fake_events())
     mock_adapter.send_text = AsyncMock()
 
+    # Both ``openai_realtime`` and ``openai_realtime_2`` engines now
+    # route through ``OpenAIRealtime2Adapter`` after the GA deprecation
+    # of the Beta endpoint — patch the GA adapter so the mock is reached.
     with patch(
-        "getpatter.providers.openai_realtime.OpenAIRealtimeAdapter",
+        "getpatter.providers.openai_realtime_2.OpenAIRealtime2Adapter",
         return_value=mock_adapter,
     ):
         try:
@@ -701,7 +739,9 @@ async def fake_events():
 
     sent_events = [json.loads(s) for s in fake_ws.sent]
     mark_events = [e for e in sent_events if e.get("event") == "mark"]
-    assert len(mark_events) >= 1, f"Expected at least one mark event, got: {sent_events}"
+    assert len(mark_events) >= 1, (
+        f"Expected at least one mark event, got: {sent_events}"
+    )
     assert mark_events[0]["mark"]["name"].startswith("audio_")
 
 
@@ -718,14 +758,16 @@ async def test_custom_params_passed_to_on_call_start():
 
     agent = Agent(system_prompt="test", provider="pipeline")
 
-    start_payload = json.dumps({
-        "event": "start",
-        "streamSid": "SID_params",
-        "start": {
-            "callSid": "CA_params",
-            "customParameters": {"agent_name": "Aria", "language": "it"},
-        },
-    })
+    start_payload = json.dumps(
+        {
+            "event": "start",
+            "streamSid": "SID_params",
+            "start": {
+                "callSid": "CA_params",
+                "customParameters": {"agent_name": "Aria", "language": "it"},
+            },
+        }
+    )
     stop_payload = json.dumps({"event": "stop"})
     messages = [start_payload, stop_payload]
     idx = 0
@@ -768,8 +810,13 @@ async def fake_receive():
     mock_tts.close = AsyncMock()
 
     with (
-        patch("getpatter.providers.deepgram_stt.DeepgramSTT.for_twilio", return_value=mock_stt),
-        patch("getpatter.providers.elevenlabs_tts.ElevenLabsTTS", return_value=mock_tts),
+        patch(
+            "getpatter.providers.deepgram_stt.DeepgramSTT.for_twilio",
+            return_value=mock_stt,
+        ),
+        patch(
+            "getpatter.providers.elevenlabs_tts.ElevenLabsTTS", return_value=mock_tts
+        ),
     ):
         try:
             await asyncio.wait_for(
@@ -786,7 +833,10 @@ async def fake_receive():
         except asyncio.TimeoutError:
             pass
 
-    assert call_start_data.get("custom_params") == {"agent_name": "Aria", "language": "it"}
+    assert call_start_data.get("custom_params") == {
+        "agent_name": "Aria",
+        "language": "it",
+    }
     assert call_start_data.get("call_id") == "CA_params"
 
 
@@ -800,14 +850,18 @@ def test_custom_params_in_call_start_format():
 
 def test_custom_params_extracted_from_start_event():
     """customParameters from the TwiML start event are parsed correctly."""
-    raw = json.loads(json.dumps({
-        "event": "start",
-        "streamSid": "SID",
-        "start": {
-            "callSid": "CA123",
-            "customParameters": {"foo": "bar", "baz": "42"},
-        },
-    }))
+    raw = json.loads(
+        json.dumps(
+            {
+                "event": "start",
+                "streamSid": "SID",
+                "start": {
+                    "callSid": "CA123",
+                    "customParameters": {"foo": "bar", "baz": "42"},
+                },
+            }
+        )
+    )
     start_data = raw.get("start", {})
     custom_params = start_data.get("customParameters", {})
     assert custom_params == {"foo": "bar", "baz": "42"}
diff --git a/libraries/python/tests/test_twilio_handler.py b/libraries/python/tests/test_twilio_handler.py
index f96100d2..7027b1bc 100644
--- a/libraries/python/tests/test_twilio_handler.py
+++ b/libraries/python/tests/test_twilio_handler.py
@@ -1,7 +1,6 @@
 """Tests for Twilio webhook handler."""
 
-import pytest
-from unittest.mock import patch, MagicMock
+from unittest.mock import patch
 
 
 # ---------------------------------------------------------------------------
@@ -74,25 +73,29 @@ def test_stream_url_has_ws_stream_path():
 
 
 def test_stream_url_contains_caller_param():
-    """Stream URL includes caller query param."""
+    """caller travels as a TwiML ``<Parameter>`` (Twilio strips URL query)."""
     with patch("getpatter.providers.twilio_adapter.TwilioAdapter") as MockAdapter:
         MockAdapter.generate_stream_twiml.return_value = "<Response/>"
         from getpatter.telephony.twilio import twilio_webhook_handler
 
         twilio_webhook_handler("CA123", "+39111", "+16592", "abc.ngrok.io")
-        url = MockAdapter.generate_stream_twiml.call_args[0][0]
-        assert "caller=" in url
+        params = MockAdapter.generate_stream_twiml.call_args.kwargs.get(
+            "parameters", {}
+        )
+        assert params.get("caller") == "+39111"
 
 
 def test_stream_url_contains_callee_param():
-    """Stream URL includes callee query param."""
+    """callee travels as a TwiML ``<Parameter>`` (Twilio strips URL query)."""
     with patch("getpatter.providers.twilio_adapter.TwilioAdapter") as MockAdapter:
         MockAdapter.generate_stream_twiml.return_value = "<Response/>"
         from getpatter.telephony.twilio import twilio_webhook_handler
 
         twilio_webhook_handler("CA123", "+39111", "+16592", "abc.ngrok.io")
-        url = MockAdapter.generate_stream_twiml.call_args[0][0]
-        assert "callee=" in url
+        params = MockAdapter.generate_stream_twiml.call_args.kwargs.get(
+            "parameters", {}
+        )
+        assert params.get("callee") == "+16592"
 
 
 # ---------------------------------------------------------------------------
diff --git a/libraries/python/tests/test_validation_guardrails.py b/libraries/python/tests/test_validation_guardrails.py
index c93486ba..d6a4a016 100644
--- a/libraries/python/tests/test_validation_guardrails.py
+++ b/libraries/python/tests/test_validation_guardrails.py
@@ -7,15 +7,12 @@
 import pytest
 
 from getpatter import (
-    DeepgramSTT,
     ElevenLabsTTS,
     OpenAIRealtime,
     Patter,
     Telnyx,
-    Tool,
     Twilio,
     guardrail,
-    tool,
 )
 from getpatter.models import Agent, Guardrail
 
@@ -215,9 +212,7 @@ def test_call_validates_e164_no_plus():
     phone = _local_phone()
     agent = phone.agent(engine=OpenAIRealtime(api_key="sk"), system_prompt="test")
     with pytest.raises(ValueError, match="E.164"):
-        asyncio.run(
-            phone.call(to="0039123456789", agent=agent)
-        )
+        asyncio.run(phone.call(to="0039123456789", agent=agent))
 
 
 def test_call_validates_e164_empty():
@@ -225,9 +220,7 @@ def test_call_validates_e164_empty():
     phone = _local_phone()
     agent = phone.agent(engine=OpenAIRealtime(api_key="sk"), system_prompt="test")
     with pytest.raises(ValueError, match="E.164"):
-        asyncio.run(
-            phone.call(to="", agent=agent)
-        )
+        asyncio.run(phone.call(to="", agent=agent))
 
 
 def test_call_validates_e164_non_string():
@@ -235,9 +228,7 @@ def test_call_validates_e164_non_string():
     phone = _local_phone()
     agent = phone.agent(engine=OpenAIRealtime(api_key="sk"), system_prompt="test")
     with pytest.raises(ValueError, match="E.164"):
-        asyncio.run(
-            phone.call(to=12345, agent=agent)
-        )
+        asyncio.run(phone.call(to=12345, agent=agent))
 
 
 def test_call_valid_e164_accepted():
@@ -252,9 +243,7 @@ def test_call_valid_e164_accepted():
         mock_instance.initiate_call = AsyncMock(return_value="CA123")
         MockAdapter.return_value = mock_instance
 
-        asyncio.run(
-            phone.call(to="+39123456789", agent=agent)
-        )
+        asyncio.run(phone.call(to="+39123456789", agent=agent))
 
         mock_instance.initiate_call.assert_called_once()
 
@@ -455,11 +444,13 @@ async def test_guardrail_triggers_cancel_and_replacement():
         ],
     )
 
-    start_payload = json.dumps({
-        "event": "start",
-        "streamSid": "SID_guard",
-        "start": {"callSid": "CA_guard", "customParameters": {}},
-    })
+    start_payload = json.dumps(
+        {
+            "event": "start",
+            "streamSid": "SID_guard",
+            "start": {"callSid": "CA_guard", "customParameters": {}},
+        }
+    )
     stop_payload = json.dumps({"event": "stop"})
     messages = [start_payload, stop_payload]
     idx = 0
@@ -498,7 +489,14 @@ async def fake_events():
 
     mock_adapter.receive_events = MagicMock(return_value=fake_events())
 
-    with patch("getpatter.providers.openai_realtime.OpenAIRealtimeAdapter", return_value=mock_adapter):
+    # ``stream_handler.OpenAIRealtimeStreamHandler.start`` routes both
+    # ``openai_realtime`` and ``openai_realtime_2`` engines through the
+    # GA adapter (the v1-beta API is deprecated server-side), so the
+    # patch target must be the GA adapter class.
+    with patch(
+        "getpatter.providers.openai_realtime_2.OpenAIRealtime2Adapter",
+        return_value=mock_adapter,
+    ):
         from getpatter.telephony.twilio import twilio_stream_bridge
 
         try:
@@ -528,15 +526,22 @@ async def test_guardrail_does_not_trigger_on_clean_response():
         system_prompt="test",
         provider="openai_realtime",
         guardrails=[
-            {"name": "no-bad", "blocked_terms": ["blocked_word"], "check": None, "replacement": "..."}
+            {
+                "name": "no-bad",
+                "blocked_terms": ["blocked_word"],
+                "check": None,
+                "replacement": "...",
+            }
         ],
     )
 
-    start_payload = json.dumps({
-        "event": "start",
-        "streamSid": "SID_clean",
-        "start": {"callSid": "CA_clean", "customParameters": {}},
-    })
+    start_payload = json.dumps(
+        {
+            "event": "start",
+            "streamSid": "SID_clean",
+            "start": {"callSid": "CA_clean", "customParameters": {}},
+        }
+    )
     stop_payload = json.dumps({"event": "stop"})
     messages = [start_payload, stop_payload]
     idx = 0
@@ -572,7 +577,10 @@ async def fake_events():
 
     mock_adapter.receive_events = MagicMock(return_value=fake_events())
 
-    with patch("getpatter.providers.openai_realtime.OpenAIRealtimeAdapter", return_value=mock_adapter):
+    with patch(
+        "getpatter.providers.openai_realtime.OpenAIRealtimeAdapter",
+        return_value=mock_adapter,
+    ):
         from getpatter.telephony.twilio import twilio_stream_bridge
 
         try:
diff --git a/libraries/python/tests/unit/test_providers_io_unit.py b/libraries/python/tests/unit/test_providers_io_unit.py
index 71ada0a3..166ff8da 100644
--- a/libraries/python/tests/unit/test_providers_io_unit.py
+++ b/libraries/python/tests/unit/test_providers_io_unit.py
@@ -80,6 +80,7 @@ async def _fake_ws_connect(mock_ws):
 def _ws_connect_side_effect(mock_ws):
     async def _connect(*a, **kw):
         return mock_ws
+
     return _connect
 
 
@@ -100,7 +101,10 @@ async def test_connect_sends_session_update(self) -> None:
         mock_ws = AsyncMock()
         mock_ws.recv.return_value = json.dumps({"type": "session.created"})
 
-        with patch("getpatter.providers.openai_realtime.websockets.connect", side_effect=_ws_connect_side_effect(mock_ws)):
+        with patch(
+            "getpatter.providers.openai_realtime.websockets.connect",
+            side_effect=_ws_connect_side_effect(mock_ws),
+        ):
             await adapter.connect()
 
         assert adapter._running is True
@@ -136,12 +140,21 @@ async def test_connect_honours_custom_silence_duration_ms(self) -> None:
     async def test_connect_with_tools(self) -> None:
         from getpatter.providers.openai_realtime import OpenAIRealtimeAdapter
 
-        tools = [{"name": "search", "description": "Search", "parameters": {"type": "object"}}]
+        tools = [
+            {
+                "name": "search",
+                "description": "Search",
+                "parameters": {"type": "object"},
+            }
+        ]
         adapter = OpenAIRealtimeAdapter(api_key="sk-test", tools=tools)
         mock_ws = AsyncMock()
         mock_ws.recv.return_value = json.dumps({"type": "session.created"})
 
-        with patch("getpatter.providers.openai_realtime.websockets.connect", side_effect=_ws_connect_side_effect(mock_ws)):
+        with patch(
+            "getpatter.providers.openai_realtime.websockets.connect",
+            side_effect=_ws_connect_side_effect(mock_ws),
+        ):
             await adapter.connect()
 
         sent = json.loads(mock_ws.send.call_args[0][0])
@@ -152,11 +165,16 @@ async def test_connect_with_tools(self) -> None:
     async def test_connect_default_instructions(self) -> None:
         from getpatter.providers.openai_realtime import OpenAIRealtimeAdapter
 
-        adapter = OpenAIRealtimeAdapter(api_key="sk-test", instructions="", language="fr")
+        adapter = OpenAIRealtimeAdapter(
+            api_key="sk-test", instructions="", language="fr"
+        )
         mock_ws = AsyncMock()
         mock_ws.recv.return_value = json.dumps({"type": "session.created"})
 
-        with patch("getpatter.providers.openai_realtime.websockets.connect", side_effect=_ws_connect_side_effect(mock_ws)):
+        with patch(
+            "getpatter.providers.openai_realtime.websockets.connect",
+            side_effect=_ws_connect_side_effect(mock_ws),
+        ):
             await adapter.connect()
 
         sent = json.loads(mock_ws.send.call_args[0][0])
@@ -170,7 +188,10 @@ async def test_connect_raises_on_unexpected_first_message(self) -> None:
         mock_ws = AsyncMock()
         mock_ws.recv.return_value = json.dumps({"type": "error"})
 
-        with patch("getpatter.providers.openai_realtime.websockets.connect", side_effect=_ws_connect_side_effect(mock_ws)):
+        with patch(
+            "getpatter.providers.openai_realtime.websockets.connect",
+            side_effect=_ws_connect_side_effect(mock_ws),
+        ):
             with pytest.raises(RuntimeError, match="Expected session.created"):
                 await adapter.connect()
 
@@ -195,9 +216,30 @@ async def test_cancel_response_sends_cancel(self) -> None:
 
         adapter = OpenAIRealtimeAdapter(api_key="sk-test")
         adapter._ws = AsyncMock()
+        # ``cancel_response`` is now a no-op when no item is in flight
+        # (avoids the ``response_cancel_not_active`` log spam every phantom
+        # VAD ``speech_started`` would otherwise trigger). Simulate an
+        # in-flight assistant item so the cancel path runs through.
+        adapter._current_response_item_id = "msg_test_001"
         await adapter.cancel_response()
-        sent = json.loads(adapter._ws.send.call_args[0][0])
-        assert sent["type"] == "response.cancel"
+        # The last send must be ``response.cancel`` (preceded by an
+        # optional ``conversation.item.truncate`` when an item id is set).
+        last_sent = json.loads(adapter._ws.send.call_args_list[-1][0][0])
+        assert last_sent["type"] == "response.cancel"
+
+    @pytest.mark.asyncio
+    async def test_cancel_response_noop_when_no_item_in_flight(self) -> None:
+        """Regression: ``cancel_response`` must silently no-op when no
+        response item is in flight — eliminates the
+        ``response_cancel_not_active`` ERROR spam every phantom VAD
+        ``speech_started`` triggered before 0.6.2."""
+        from getpatter.providers.openai_realtime import OpenAIRealtimeAdapter
+
+        adapter = OpenAIRealtimeAdapter(api_key="sk-test")
+        adapter._ws = AsyncMock()
+        adapter._current_response_item_id = None
+        await adapter.cancel_response()
+        adapter._ws.send.assert_not_called()
 
     @pytest.mark.asyncio
     async def test_send_text_creates_item_and_triggers_response(self) -> None:
@@ -248,7 +290,9 @@ async def test_receive_events_yields_transcript_output(self) -> None:
         from getpatter.providers.openai_realtime import OpenAIRealtimeAdapter
 
         adapter = OpenAIRealtimeAdapter(api_key="sk-test")
-        messages = [json.dumps({"type": "response.audio_transcript.delta", "delta": "Hello"})]
+        messages = [
+            json.dumps({"type": "response.audio_transcript.delta", "delta": "Hello"})
+        ]
         adapter._ws = _AsyncIterableWS(messages)
 
         events = []
@@ -261,7 +305,14 @@ async def test_receive_events_yields_transcript_input(self) -> None:
         from getpatter.providers.openai_realtime import OpenAIRealtimeAdapter
 
         adapter = OpenAIRealtimeAdapter(api_key="sk-test")
-        messages = [json.dumps({"type": "conversation.item.input_audio_transcription.completed", "transcript": "Hi"})]
+        messages = [
+            json.dumps(
+                {
+                    "type": "conversation.item.input_audio_transcription.completed",
+                    "transcript": "Hi",
+                }
+            )
+        ]
         adapter._ws = _AsyncIterableWS(messages)
 
         events = []
@@ -291,10 +342,16 @@ async def test_receive_events_yields_function_call(self) -> None:
         from getpatter.providers.openai_realtime import OpenAIRealtimeAdapter
 
         adapter = OpenAIRealtimeAdapter(api_key="sk-test")
-        messages = [json.dumps({
-            "type": "response.function_call_arguments.done",
-            "call_id": "fc1", "name": "search", "arguments": '{"q":"test"}',
-        })]
+        messages = [
+            json.dumps(
+                {
+                    "type": "response.function_call_arguments.done",
+                    "call_id": "fc1",
+                    "name": "search",
+                    "arguments": '{"q":"test"}',
+                }
+            )
+        ]
         adapter._ws = _AsyncIterableWS(messages)
 
         events = []
@@ -380,7 +437,10 @@ async def test_connect_with_agent_id(self) -> None:
         adapter = ElevenLabsConvAIAdapter(api_key="el-test", agent_id="agent_xyz")
         mock_ws = AsyncMock()
 
-        with patch("getpatter.providers.elevenlabs_convai.websockets.connect", side_effect=_ws_connect_side_effect(mock_ws)) as mc:
+        with patch(
+            "getpatter.providers.elevenlabs_convai.websockets.connect",
+            side_effect=_ws_connect_side_effect(mock_ws),
+        ) as mc:
             await adapter.connect()
 
         call_url = mc.call_args[0][0]
@@ -390,23 +450,36 @@ async def test_connect_with_agent_id(self) -> None:
     async def test_connect_with_first_message(self) -> None:
         from getpatter.providers.elevenlabs_convai import ElevenLabsConvAIAdapter
 
-        adapter = ElevenLabsConvAIAdapter(api_key="el-test", agent_id="agent-test", first_message="Hi there!")
+        adapter = ElevenLabsConvAIAdapter(
+            api_key="el-test", agent_id="agent-test", first_message="Hi there!"
+        )
         mock_ws = AsyncMock()
 
-        with patch("getpatter.providers.elevenlabs_convai.websockets.connect", side_effect=_ws_connect_side_effect(mock_ws)):
+        with patch(
+            "getpatter.providers.elevenlabs_convai.websockets.connect",
+            side_effect=_ws_connect_side_effect(mock_ws),
+        ):
             await adapter.connect()
 
         sent = json.loads(mock_ws.send.call_args[0][0])
-        assert sent["conversation_config_override"]["agent"]["first_message"] == "Hi there!"
+        assert (
+            sent["conversation_config_override"]["agent"]["first_message"]
+            == "Hi there!"
+        )
 
     @pytest.mark.asyncio
     async def test_connect_without_first_message(self) -> None:
         from getpatter.providers.elevenlabs_convai import ElevenLabsConvAIAdapter
 
-        adapter = ElevenLabsConvAIAdapter(api_key="el-test", agent_id="agent-test", first_message="")
+        adapter = ElevenLabsConvAIAdapter(
+            api_key="el-test", agent_id="agent-test", first_message=""
+        )
         mock_ws = AsyncMock()
 
-        with patch("getpatter.providers.elevenlabs_convai.websockets.connect", side_effect=_ws_connect_side_effect(mock_ws)):
+        with patch(
+            "getpatter.providers.elevenlabs_convai.websockets.connect",
+            side_effect=_ws_connect_side_effect(mock_ws),
+        ):
             await adapter.connect()
 
         sent = json.loads(mock_ws.send.call_args[0][0])
@@ -470,11 +543,13 @@ async def test_receive_events_yields_transcripts(self) -> None:
         adapter = ElevenLabsConvAIAdapter(api_key="el-test", agent_id="agent-test")
         await self._prime_adapter_with_ws(
             adapter,
-            _AsyncIterableWS([
-                json.dumps({"type": "user_transcript", "text": "Hi"}),
-                json.dumps({"type": "agent_response", "text": "Hello"}),
-                json.dumps({"type": "interruption"}),
-            ]),
+            _AsyncIterableWS(
+                [
+                    json.dumps({"type": "user_transcript", "text": "Hi"}),
+                    json.dumps({"type": "agent_response", "text": "Hello"}),
+                    json.dumps({"type": "interruption"}),
+                ]
+            ),
         )
 
         events = []
@@ -595,9 +670,13 @@ async def test_ping_triggers_pong(self) -> None:
         adapter = ElevenLabsConvAIAdapter(api_key="el-test", agent_id="agent-test")
         mock_ws = AsyncMock()
         # Iterable messages include a ping.
-        mock_ws.__aiter__ = lambda self: _AsyncIterHelper([
-            json.dumps({"type": "ping", "ping_event": {"event_id": "xyz", "ping_ms": 0}}),
-        ])
+        mock_ws.__aiter__ = lambda self: _AsyncIterHelper(
+            [
+                json.dumps(
+                    {"type": "ping", "ping_event": {"event_id": "xyz", "ping_ms": 0}}
+                ),
+            ]
+        )
         adapter._ws = mock_ws
         adapter._events = asyncio.Queue()
         adapter._reader_task = asyncio.create_task(adapter._read_loop())
@@ -830,7 +909,10 @@ async def test_connect(self) -> None:
         stt = DeepgramSTT(api_key="dg-test")
         mock_ws = AsyncMock()
 
-        with patch("getpatter.providers.deepgram_stt.websockets.connect", side_effect=_ws_connect_side_effect(mock_ws)) as mc:
+        with patch(
+            "getpatter.providers.deepgram_stt.websockets.connect",
+            side_effect=_ws_connect_side_effect(mock_ws),
+        ) as mc:
             await stt.connect()
 
         assert stt._ws is mock_ws
@@ -862,12 +944,18 @@ async def test_receive_transcripts_yields_results(self) -> None:
         from getpatter.providers.deepgram_stt import DeepgramSTT
 
         stt = DeepgramSTT(api_key="dg-test")
-        messages = [json.dumps({
-            "type": "Results",
-            "is_final": True,
-            "speech_final": True,
-            "channel": {"alternatives": [{"transcript": "Hello", "confidence": 0.9}]},
-        })]
+        messages = [
+            json.dumps(
+                {
+                    "type": "Results",
+                    "is_final": True,
+                    "speech_final": True,
+                    "channel": {
+                        "alternatives": [{"transcript": "Hello", "confidence": 0.9}]
+                    },
+                }
+            )
+        ]
         stt._ws = _AsyncIterableWS(messages)
 
         transcripts = []
@@ -979,7 +1067,7 @@ def test_resample_24k_to_16k_basic(self) -> None:
         samples = [100, 200, 300, 400, 500, 600]
         audio = struct.pack(f"<{len(samples)}h", *samples)
         result = OpenAITTS._resample_24k_to_16k(audio)
-        out_samples = struct.unpack(f"<{len(result)//2}h", result)
+        out_samples = struct.unpack(f"<{len(result) // 2}h", result)
         assert len(out_samples) == 4
 
     def test_resample_24k_to_16k_empty(self) -> None:
@@ -1092,7 +1180,9 @@ async def test_initiate_call(self) -> None:
         adapter._client = AsyncMock()
         adapter._client.post.return_value = mock_resp
 
-        call_id = await adapter.initiate_call("+15551111111", "+15552222222", "wss://stream.example.com")
+        call_id = await adapter.initiate_call(
+            "+15551111111", "+15552222222", "wss://stream.example.com"
+        )
         assert call_id == "v3:new-id"
 
     @pytest.mark.asyncio
@@ -1386,11 +1476,15 @@ async def test_provision_number(self) -> None:
         mock_number = MagicMock()
         mock_number.phone_number = "+15559999999"
         adapter._twilio_client = MagicMock()
-        adapter._twilio_client.available_phone_numbers.return_value.local.list.return_value = [mock_number]
+        adapter._twilio_client.available_phone_numbers.return_value.local.list.return_value = [
+            mock_number
+        ]
 
         mock_purchased = MagicMock()
         mock_purchased.phone_number = "+15559999999"
-        adapter._twilio_client.incoming_phone_numbers.create.return_value = mock_purchased
+        adapter._twilio_client.incoming_phone_numbers.create.return_value = (
+            mock_purchased
+        )
 
         number = await adapter.provision_number("US")
         assert number == "+15559999999"
@@ -1416,7 +1510,9 @@ async def test_configure_number(self) -> None:
         adapter._twilio_client.incoming_phone_numbers.list.return_value = [mock_num]
 
         await adapter.configure_number("+15551111111", "https://example.com/webhook")
-        mock_num.update.assert_called_once_with(voice_url="https://example.com/webhook", voice_method="POST")
+        mock_num.update.assert_called_once_with(
+            voice_url="https://example.com/webhook", voice_method="POST"
+        )
 
     @pytest.mark.asyncio
     async def test_configure_number_not_found(self) -> None:
@@ -1427,7 +1523,9 @@ async def test_configure_number_not_found(self) -> None:
         adapter._twilio_client.incoming_phone_numbers.list.return_value = []
 
         with pytest.raises(ValueError, match="not found"):
-            await adapter.configure_number("+15551111111", "https://example.com/webhook")
+            await adapter.configure_number(
+                "+15551111111", "https://example.com/webhook"
+            )
 
     @pytest.mark.asyncio
     async def test_initiate_call(self) -> None:
@@ -1439,7 +1537,9 @@ async def test_initiate_call(self) -> None:
         adapter._twilio_client = MagicMock()
         adapter._twilio_client.calls.create.return_value = mock_call
 
-        sid = await adapter.initiate_call("+15551111111", "+15552222222", "wss://stream.example.com")
+        sid = await adapter.initiate_call(
+            "+15551111111", "+15552222222", "wss://stream.example.com"
+        )
         assert sid == "CA_test_call_sid"
 
     @pytest.mark.asyncio
@@ -1453,7 +1553,9 @@ async def test_initiate_call_with_extra_params(self) -> None:
         adapter._twilio_client.calls.create.return_value = mock_call
 
         sid = await adapter.initiate_call(
-            "+15551111111", "+15552222222", "wss://stream.example.com",
+            "+15551111111",
+            "+15552222222",
+            "wss://stream.example.com",
             extra_params={"machine_detection": "Enable"},
         )
         assert sid == "CA_test_call_sid"
@@ -1468,7 +1570,9 @@ async def test_end_call(self) -> None:
         adapter._twilio_client = MagicMock()
 
         await adapter.end_call("CA_test_call_sid")
-        adapter._twilio_client.calls.return_value.update.assert_called_once_with(status="completed")
+        adapter._twilio_client.calls.return_value.update.assert_called_once_with(
+            status="completed"
+        )
 
     def test_generate_stream_twiml(self) -> None:
         from getpatter.providers.twilio_adapter import TwilioAdapter
diff --git a/libraries/python/tests/unit/test_providers_unit.py b/libraries/python/tests/unit/test_providers_unit.py
index a9c6a411..5b357882 100644
--- a/libraries/python/tests/unit/test_providers_unit.py
+++ b/libraries/python/tests/unit/test_providers_unit.py
@@ -393,8 +393,12 @@ def __init__(self, **kwargs: object) -> None:
             async def connect(self) -> None:
                 return None
 
+        # ``OpenAIRealtimeStreamHandler.start`` routes both
+        # ``openai_realtime`` and ``openai_realtime_2`` engines through the
+        # GA adapter (the v1-beta endpoint is deprecated server-side),
+        # so the patch target must be the GA adapter class.
         with patch(
-            "getpatter.providers.openai_realtime.OpenAIRealtimeAdapter",
+            "getpatter.providers.openai_realtime_2.OpenAIRealtime2Adapter",
             _FakeAdapter,
         ):
             await handler.start()
diff --git a/libraries/typescript/tests/unit/openai-realtime.test.ts b/libraries/typescript/tests/unit/openai-realtime.test.ts
index 40c3d928..22c6da9c 100644
--- a/libraries/typescript/tests/unit/openai-realtime.test.ts
+++ b/libraries/typescript/tests/unit/openai-realtime.test.ts
@@ -394,13 +394,31 @@ describe('OpenAIRealtimeAdapter (deep)', () => {
       const ws = await connectAdapter(adapter);
       ws.send.mockClear();
 
+      // ``cancelResponse`` is now a no-op when no response item is in
+      // flight (eliminates the ``response_cancel_not_active`` log spam
+      // every phantom VAD ``speech_started`` triggered before 0.6.2).
+      // Simulate an in-flight assistant item so the cancel path runs.
+      (adapter as unknown as { currentResponseItemId: string | null })
+        .currentResponseItemId = 'msg_test_001';
+
       adapter.cancelResponse();
 
-      expect(ws.send).toHaveBeenCalledOnce();
-      const sent = JSON.parse(ws.send.mock.calls[0][0] as string);
+      // truncate + cancel; ``response.cancel`` is the last frame.
+      const lastCall = ws.send.mock.calls[ws.send.mock.calls.length - 1];
+      const sent = JSON.parse(lastCall[0] as string);
       expect(sent.type).toBe('response.cancel');
     });
 
+    it('is a no-op when no response item is in flight', async () => {
+      const adapter = new OpenAIRealtimeAdapter('sk-test');
+      const ws = await connectAdapter(adapter);
+      ws.send.mockClear();
+
+      adapter.cancelResponse();
+
+      expect(ws.send).not.toHaveBeenCalled();
+    });
+
     it('does not throw when not connected', () => {
       const adapter = new OpenAIRealtimeAdapter('sk-test');
       expect(() => adapter.cancelResponse()).not.toThrow();
diff --git a/libraries/typescript/tests/unit/prewarm.test.ts b/libraries/typescript/tests/unit/prewarm.test.ts
index eba5b222..a4d04453 100644
--- a/libraries/typescript/tests/unit/prewarm.test.ts
+++ b/libraries/typescript/tests/unit/prewarm.test.ts
@@ -98,14 +98,19 @@ describe('[unit] prewarm — Agent flag defaults', () => {
     expect(agent.prewarm !== false).toBe(true);
   });
 
-  it('phone.agent() defaults prewarmFirstMessage to true in pipeline mode', () => {
+  it('phone.agent() leaves prewarmFirstMessage undefined in pipeline mode (opt-in)', () => {
+    // Default-on was reverted on 2026-05-19 after the 0.6.2 acceptance
+    // run showed a phantom-barge-in interaction: the prewarm burst at
+    // pickup tripped Silero VAD on the very first inbound frame and the
+    // firstMessage was cancelled mid-playback. Pipeline mode now leaves
+    // the flag opt-in; callers wanting the prewarm path set it explicitly.
     const phone = makePatter();
     const stt = new StubSTT();
     const tts = new StubTTS();
     const llm = new StubLLM();
     const agent = phone.agent({ systemPrompt: 'hi', stt, tts, llm });
     expect(agent.provider).toBe('pipeline');
-    expect(agent.prewarmFirstMessage).toBe(true);
+    expect(agent.prewarmFirstMessage).toBeUndefined();
   });
 
   it('phone.agent() does NOT default prewarmFirstMessage in realtime mode', () => {
diff --git a/libraries/typescript/tests/unit/stream-handler.test.ts b/libraries/typescript/tests/unit/stream-handler.test.ts
index 9a3789fb..67ee2ec2 100644
--- a/libraries/typescript/tests/unit/stream-handler.test.ts
+++ b/libraries/typescript/tests/unit/stream-handler.test.ts
@@ -437,35 +437,38 @@ describe('StreamHandler', () => {
     });
 
     // -----------------------------------------------------------------------
-    // AEC OFF (default — PSTN deployments). Gate is 100 ms.
+    // AEC OFF (default — PSTN deployments). Gate is 500 ms (raised 100 →
+    // 500 on 2026-05-19 after the 0.6.2 acceptance run showed phantom VAD
+    // ``speech_start`` events firing within the first ~250 ms of the
+    // prewarmed firstMessage and cancelling it).
     // -----------------------------------------------------------------------
     describe('AEC off (PSTN default)', () => {
-      it('canBargeIn() false within 100 ms anti-flicker window', () => {
+      it('canBargeIn() false within 500 ms anti-flicker window', () => {
         const h = new StreamHandler(makeDeps(), makeMockWs(), '+15551111111', '+15552222222');
         const p = priv(h);
         p.aec = null;
-        p.speakingStartedAt = Date.now() - 50;
-        p.firstAudioSentAt = Date.now() - 50; // 50 ms — still inside 100 ms gate
+        p.speakingStartedAt = Date.now() - 250;
+        p.firstAudioSentAt = Date.now() - 250; // 250 ms — still inside 500 ms gate
         expect(p.canBargeIn()).toBe(false);
       });
 
-      it('canBargeIn() true past 100 ms (well below the 1 s AEC gate)', () => {
+      it('canBargeIn() true past 500 ms (well below the 1 s AEC gate)', () => {
         const h = new StreamHandler(makeDeps(), makeMockWs(), '+15551111111', '+15552222222');
         const p = priv(h);
         p.aec = null;
-        p.speakingStartedAt = Date.now() - 200;
-        p.firstAudioSentAt = Date.now() - 200; // 200 ms — past 100 ms gate, under 1 s
+        p.speakingStartedAt = Date.now() - 700;
+        p.firstAudioSentAt = Date.now() - 700; // 700 ms — past 500 ms gate, under 1 s
         expect(p.canBargeIn()).toBe(true);
       });
 
-      it('handleBargeIn fires after 400 ms with AEC off (the bug fix)', () => {
+      it('handleBargeIn fires after 600 ms with AEC off (the bug fix)', () => {
         // Pre-fix this would have been suppressed by the hardcoded 1 s gate.
         const h = new StreamHandler(makeDeps(), makeMockWs(), '+15551111111', '+15552222222');
         const p = priv(h);
         p.aec = null;
         p.isSpeaking = true;
-        p.speakingStartedAt = Date.now() - 400;
-        p.firstAudioSentAt = Date.now() - 400;
+        p.speakingStartedAt = Date.now() - 600;
+        p.firstAudioSentAt = Date.now() - 600;
         const result = p.handleBargeIn({ text: 'stop' });
         expect(result).toBe(true);
         expect(p.isSpeaking).toBe(false);
@@ -538,7 +541,16 @@ describe('StreamHandler', () => {
   // chunks are unconfirmed. ``cancelSpeaking`` drains every pending mark
   // so the waiting loop exits on the next tick.
   // -------------------------------------------------------------------------
-  describe('firstMessage mark-gated pacing', () => {
+  // SKIPPED 2026-05-22: mark-gated per-chunk pacing was replaced with a
+  // burst-deliver model in commit 5574997
+  // (``fix(prewarm): burst-deliver prewarmed first-message bytes, drop the
+  // slow per-chunk sleep``). ``sendPacedFirstMessageBytes`` /
+  // ``firstMessageMarkCounter`` / ``sendMarkAwaitable`` no longer exist as
+  // public surface. Left as ``describe.skip`` to preserve the historical
+  // intent — the regression these tests pinned (audio buffered past
+  // barge-in on the WS edge) is now covered by the burst-deliver path's
+  // own ``cancelActiveStream`` plumbing.
+  describe.skip('firstMessage mark-gated pacing', () => {
     interface FmPriv {
       isSpeaking: boolean;
       speakingStartedAt: number | null;
@@ -702,7 +714,10 @@ describe('StreamHandler', () => {
     });
   });
 
-  describe('cleanup drains pending firstMessage marks', () => {
+  // SKIPPED 2026-05-22: see note on the ``firstMessage mark-gated pacing``
+  // block above — burst-deliver replaced the mark-window plumbing; pending
+  // marks no longer exist to drain.
+  describe.skip('cleanup drains pending firstMessage marks', () => {
     interface CleanupPriv {
       isSpeaking: boolean;
       speakingStartedAt: number | null;
@@ -777,7 +792,10 @@ describe('StreamHandler', () => {
     });
   });
 
-  describe('firstMessage mark counter resets across sends + on cleanup', () => {
+  // SKIPPED 2026-05-22: see note on the ``firstMessage mark-gated pacing``
+  // block above — burst-deliver replaced the mark-counter plumbing;
+  // ``firstMessageMarkCounter`` no longer exists.
+  describe.skip('firstMessage mark counter resets across sends + on cleanup', () => {
     interface CounterPriv {
       isSpeaking: boolean;
       speakingStartedAt: number | null;

From 573e209787b92a03d981237c1f7fcf59e693208d Mon Sep 17 00:00:00 2001
From: nicolotognoni <nicolo.tognoni1@gmail.com>
Date: Mon, 25 May 2026 11:28:58 +0200
Subject: [PATCH 10/11] docs(0.6.2): align Mintlify docs with 14-bug fix wave +
 new GA Realtime engine
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Audit ran via 3 parallel agents (Python SDK accuracy, TypeScript SDK
accuracy, navigation + cross-links) cross-referencing every public
identifier, default, and behaviour described in ``docs/`` against the
0.6.2 source. 31 pages updated; 2 brand-new provider pages created so
``OpenAIRealtime2`` ships with first-class documentation in both SDKs.

New pages
- ``docs/python-sdk/providers/openai-realtime-2.mdx``
- ``docs/typescript-sdk/providers/openai-realtime-2.mdx``
  Cover ``OpenAIRealtime2Adapter`` / ``OpenAIRealtime2Provider``: GA
  session-config (``session.type = "realtime"``, nested
  ``audio.{input,output}``, ``create_response: false`` /
  ``interrupt_response: false``), bidirectional mulaw 8 kHz ↔ PCM 24 kHz
  transcoding rationale, voice list, reasoning-effort tiers, and the
  direct-adapter constructor (positional, not options-object).
- ``docs/docs.json`` adds both pages to the Engines group in their
  respective SDKs.

Engines + providers
- ``OpenAIRealtime`` default model is now ``gpt-realtime-mini`` (was
  documented as ``gpt-4o-mini-realtime-preview``). Voice enum widened
  to include ``ash``/``ballad``/``coral``/``sage``/``verse``.
- Added ``reasoning_effort`` and ``input_audio_transcription_model``
  rows to the ``OpenAIRealtime`` constructor table.
- ``ElevenLabsTTS`` default voiceId fixed: ``EXAVITQu4vr4xnSDxMaL``
  (Sarah) → ``21m00Tcm4TlvDq8ikWAM`` (Rachel) — matches source default
  in both SDKs.
- Provider pages add the GA Realtime VAD threshold note (0.5, not 0.1)
  and the Whisper hallucination filter behaviour.

Persistence + dashboard
- ``persist`` default is now ON in both SDKs (was documented as opt-in).
  Flipped narrative + tables + env var notes across ``persist.mdx``,
  ``call-logging.mdx``, ``configuration.mdx``, ``quickstart.mdx``,
  ``reference.mdx``.
- ``PATTER_LOG_REDACT_PHONE`` default ``mask`` → ``full`` across
  ``configuration.mdx``.
- Added ``direction`` and ``aggregates.sdk_version`` fields to the
  dashboard / call-log schema docs.

Inbound carrier metadata
- ``local-mode.mdx`` + ``carrier.mdx`` (both SDKs) now correctly
  describe Twilio inbound caller/callee as travelling via TwiML
  ``<Parameter>`` (Twilio strips URL query params before the WS
  handshake). Telnyx still uses query string — distinction documented.

Call surface
- ``Patter.call()`` parameter signature updated to snake_case
  (``machine_detection=True``, ``ring_timeout=25``) — fixes the
  pre-0.6.2 PascalCase crash documentation.
- AMD narrative flipped to "default on" in ``features.mdx``.
- ``phone.serve()`` examples in TS docs fixed:
  ``phone.serve(agent)`` → ``phone.serve({ agent })`` (5 pages).

Known follow-ups out of scope for this docs audit
- Several TS docs ``import { OpenAIRealtimeModel, ... } from "getpatter"``
  but the const enums live in provider files and are NOT re-exported
  from ``src/index.ts``. Examples won't compile until the re-exports
  are added — flagged for a separate SDK-code commit.
- TS engine wrapper still defaults ``model`` to
  ``"gpt-4o-mini-realtime-preview"`` (Python moved to
  ``"gpt-realtime-mini"`` per CHANGELOG 0.6.2). Docs now describe the
  TS-side reality; parity bump is a separate SDK commit.

Inventory rows for 0.6.2 features appended to
``patter-assets/patter_sdk_features.xlsx`` (status=shipped, sdk=both):
``openai_realtime2_engine``, ``realtime_request_response_api``,
``realtime_whisper_hallucination_filter``, ``persist_default_on``,
``log_redact_phone_default_full``, ``call_metadata_direction_field``,
``aggregates_sdk_version_field``, ``dashboard_call_initiated_relay``,
``twilio_inbound_caller_callee_parameter``.
---
 docs/docs.json                                |   2 +
 docs/python-sdk/agents.mdx                    |   6 +-
 docs/python-sdk/call-logging.mdx              |  20 +--
 docs/python-sdk/carrier.mdx                   |  35 +++++
 docs/python-sdk/configuration.mdx             |  10 +-
 docs/python-sdk/engines.mdx                   |  57 +++++++-
 docs/python-sdk/features.mdx                  |  18 ++-
 docs/python-sdk/local-mode.mdx                |  13 +-
 .../providers/openai-realtime-2.mdx           | 122 ++++++++++++++++
 docs/python-sdk/providers/openai-realtime.mdx |   6 +-
 docs/python-sdk/quickstart.mdx                |   4 +
 docs/python-sdk/reference.mdx                 |  68 ++++++---
 docs/python-sdk/test-mode.mdx                 |   2 +-
 docs/python-sdk/tts.mdx                       |   2 +-
 docs/typescript-sdk/agents.mdx                |   2 +-
 docs/typescript-sdk/call-logging.mdx          |   8 +-
 docs/typescript-sdk/carrier.mdx               |   8 ++
 docs/typescript-sdk/configuration.mdx         |   4 +-
 docs/typescript-sdk/dashboard.mdx             |   6 +-
 docs/typescript-sdk/engines.mdx               |  46 +++++-
 docs/typescript-sdk/local-mode.mdx            |   9 +-
 docs/typescript-sdk/mcp.mdx                   |   4 +-
 docs/typescript-sdk/metrics.mdx               |  11 +-
 docs/typescript-sdk/providers/anthropic.mdx   |   2 +-
 docs/typescript-sdk/providers/cerebras.mdx    |   2 +-
 docs/typescript-sdk/providers/google.mdx      |   2 +-
 docs/typescript-sdk/providers/groq.mdx        |   2 +-
 .../providers/openai-realtime-2.mdx           | 134 ++++++++++++++++++
 .../providers/openai-realtime.mdx             |  11 +-
 docs/typescript-sdk/reference.mdx             |  42 +++++-
 docs/typescript-sdk/tts.mdx                   |   2 +-
 31 files changed, 566 insertions(+), 94 deletions(-)
 create mode 100644 docs/python-sdk/providers/openai-realtime-2.mdx
 create mode 100644 docs/typescript-sdk/providers/openai-realtime-2.mdx

diff --git a/docs/docs.json b/docs/docs.json
index 55b9152e..1346aa31 100644
--- a/docs/docs.json
+++ b/docs/docs.json
@@ -100,6 +100,7 @@
                     "pages": [
                       "python-sdk/engines",
                       "python-sdk/providers/openai-realtime",
+                      "python-sdk/providers/openai-realtime-2",
                       "python-sdk/providers/gemini-live",
                       "python-sdk/providers/ultravox-realtime",
                       "python-sdk/providers/elevenlabs-convai"
@@ -231,6 +232,7 @@
                     "pages": [
                       "typescript-sdk/engines",
                       "typescript-sdk/providers/openai-realtime",
+                      "typescript-sdk/providers/openai-realtime-2",
                       "typescript-sdk/providers/gemini-live",
                       "typescript-sdk/providers/ultravox-realtime",
                       "typescript-sdk/providers/elevenlabs-convai"
diff --git a/docs/python-sdk/agents.mdx b/docs/python-sdk/agents.mdx
index 44521c2a..adeb225c 100644
--- a/docs/python-sdk/agents.mdx
+++ b/docs/python-sdk/agents.mdx
@@ -70,12 +70,12 @@ agent = phone.agent(
 | Parameter | Type | Default | Description |
 |-----------|------|---------|-------------|
 | `system_prompt` | `str` | *required* | Instructions that define the agent's behavior. |
-| `engine` | `OpenAIRealtime \| ElevenLabsConvAI \| None` | `None` → OpenAI Realtime | End-to-end engine. See [Engines](/python-sdk/engines). Omit for pipeline mode. |
+| `engine` | `OpenAIRealtime \| OpenAIRealtime2 \| ElevenLabsConvAI \| None` | `None` → OpenAI Realtime | End-to-end engine. See [Engines](/python-sdk/engines). Omit for pipeline mode. |
 | `stt` | `STTProvider \| None` | `None` | STT instance for pipeline mode (`DeepgramSTT()`, `CartesiaSTT()`, ...). See [STT](/python-sdk/stt). |
 | `llm` | `LLMProvider \| None` | `None` | LLM instance for pipeline mode (`AnthropicLLM()`, `GroqLLM()`, ...). Mutually exclusive with `on_message` on `serve()`. Ignored when `engine` is set. See [LLM](/python-sdk/llm). |
 | `tts` | `TTSProvider \| None` | `None` | TTS instance for pipeline mode (`ElevenLabsTTS()`, `RimeTTS()`, ...). See [TTS](/python-sdk/tts). |
 | `voice` | `str` | `"alloy"` | Voice name. Usually inferred from the engine or TTS instance. |
-| `model` | `str` | `"gpt-4o-mini-realtime-preview"` | Model ID for OpenAI Realtime. Usually inferred from the engine. |
+| `model` | `str` | `"gpt-realtime-mini"` | Model ID for OpenAI Realtime. Usually inferred from the engine. |
 | `language` | `str` | `"en"` | BCP-47 language code. |
 | `first_message` | `str` | `""` | If set, the agent speaks this immediately when a call connects. |
 | `tools` | `list[Tool] \| None` | `None` | `Tool(...)` instances for function calling. See [Tools](/python-sdk/tools). |
@@ -176,7 +176,7 @@ Voice is usually inferred from the engine or TTS instance — e.g. `OpenAIRealti
 
 <Tabs>
   <Tab title="OpenAI Realtime">
-    `"alloy"`, `"echo"`, `"fable"`, `"onyx"`, `"nova"`, `"shimmer"`
+    `"alloy"`, `"ash"`, `"ballad"`, `"coral"`, `"echo"`, `"fable"`, `"nova"`, `"onyx"`, `"sage"`, `"shimmer"`, `"verse"`
   </Tab>
   <Tab title="ElevenLabs">
     Any ElevenLabs voice ID or name (e.g., `"rachel"`, `"adam"`).
diff --git a/docs/python-sdk/call-logging.mdx b/docs/python-sdk/call-logging.mdx
index 4a961b9e..cd38b6a3 100644
--- a/docs/python-sdk/call-logging.mdx
+++ b/docs/python-sdk/call-logging.mdx
@@ -4,7 +4,9 @@ description: "Opt-in per-call filesystem logs: metadata, transcripts, and operat
 icon: "folder-open"
 ---
 
-Patter can persist every call to a directory tree on disk so you can replay transcripts, audit tool calls, and track latency/cost trends without running a hosted dashboard. Logging is **opt-in and off by default** — nothing is written unless you ask for it.
+Patter can persist every call to a directory tree on disk so you can replay transcripts, audit tool calls, and track latency/cost trends without running a hosted dashboard.
+
+Persistence is **on by default since 0.6.2** — `Patter(...)` writes under the platform default location unless you pass `persist=False` (force-off) or override the path. The default was flipped from off→on because the dashboard's hydrate path needs on-disk records to survive process restarts.
 
 The same on-disk layout also backs the local dashboard's call history: when persistence is enabled, `phone.serve()` rebuilds the in-memory dashboard from disk on startup so call history survives process restarts without an external database.
 
@@ -26,7 +28,7 @@ phone = Patter(carrier=Twilio(), phone_number="+15555550100", persist="/var/log/
 
 | `persist` value | Behaviour |
 |-----------------|-----------|
-| omitted / `None` (default) | Falls back to `PATTER_LOG_DIR`; off when env is also unset (backward-compatible). |
+| omitted / `None` (default) | Reads `PATTER_LOG_DIR` if set; otherwise falls back to the platform default location. On by default since 0.6.2. |
 | `False` | Force-off, even if `PATTER_LOG_DIR` is set. |
 | `True` | Platform default location (see below). |
 | `"<path>"` | Use the supplied path (`~` expanded). |
@@ -49,7 +51,7 @@ Platform defaults for `auto` (and for `persist=True`):
 - Linux: `$XDG_DATA_HOME/patter` (falls back to `~/.local/share/patter`)
 - Windows: `%LOCALAPPDATA%\patter`
 
-When `persist` is unset and the env var is unset, the logger is a no-op — no directories are created, no files are written. When `persist` is set explicitly, the env var is ignored.
+When `persist` is unset and the env var is unset, Patter falls back to the platform default path (persistence is on by default since 0.6.2). When `persist` is set explicitly, the env var is ignored. Pass `persist=False` to force the logger to be a no-op.
 
 ## Layout
 
@@ -87,19 +89,21 @@ When `persist` is unset and the env var is unset, the logger is a no-op — no d
 
 ## Phone redaction
 
-Caller / callee numbers in `metadata.json` are masked by default (last 4 digits). Change via:
+Caller / callee numbers in `metadata.json` default to **full** (raw E.164) since 0.6.2 so the dashboard's reveal toggle has something to reconstruct from. The on-disk path under `~/Library/Application Support/patter/` (macOS) / XDG data dir (Linux) / `%LOCALAPPDATA%\patter` (Windows) is user-private. Override via:
 
 ```bash
-# Mask last 4 digits (default): "***4567"
-export PATTER_LOG_REDACT_PHONE=mask
-
-# Store the full E.164 number (disables redaction)
+# Store the full E.164 number (default since 0.6.2)
 export PATTER_LOG_REDACT_PHONE=full
 
+# Mask last 4 digits: "***4567"
+export PATTER_LOG_REDACT_PHONE=mask
+
 # Replace with a sha256 prefix for correlation without storing the number
 export PATTER_LOG_REDACT_PHONE=hash_only
 ```
 
+Set `PATTER_LOG_REDACT_PHONE=mask` for setups that ship logs off-host.
+
 `transcript.jsonl` is **not** redacted — it can contain customer PII spoken during the call. Gate access to the log root and/or wire up your own redaction pipeline before exporting.
 
 ## Retention
diff --git a/docs/python-sdk/carrier.mdx b/docs/python-sdk/carrier.mdx
index d62fb329..37cd99ab 100644
--- a/docs/python-sdk/carrier.mdx
+++ b/docs/python-sdk/carrier.mdx
@@ -102,6 +102,41 @@ The embedded server exposes these endpoints regardless of carrier choice:
 | `POST /webhooks/twilio/amd` | Async AMD (answering machine detection) results. |
 | `POST /webhooks/telnyx/voice` | Incoming Telnyx call → returns Call Control commands. |
 
+## Outbound calls
+
+Use `phone.call(...)` to place an outbound call on either carrier. Every keyword argument is **snake_case**:
+
+```python
+import asyncio
+from getpatter import Patter, Twilio, OpenAIRealtime
+
+phone = Patter(carrier=Twilio(), phone_number="+15550001234")
+agent = phone.agent(engine=OpenAIRealtime(), system_prompt="You are a friendly receptionist.")
+
+async def main():
+    server = asyncio.create_task(phone.serve(agent, tunnel=True))
+    await phone.ready                                   # wait until tunnel + listener are up
+
+    await phone.call(
+        to="+15550009876",
+        agent=agent,
+        first_message="Hi! This is a courtesy call from Acme.",
+        machine_detection=True,                          # default since 0.6.2
+        ring_timeout=25,                                 # default since 0.6.2
+        voicemail_message="Please call us back at +15550001234.",
+    )
+
+asyncio.run(main())
+```
+
+Key defaults changed in 0.6.2:
+
+- `machine_detection` defaults to `True`. On Twilio Patter sends `MachineDetection=DetectMessageEnd` + Async AMD so there is no answer-latency penalty on human pickups. Pass `False` to skip per-call AMD billing.
+- `ring_timeout` defaults to `25` seconds. Pass `60` for legacy carrier-default parity, or `None` to omit the parameter entirely.
+- The AMD callback was renamed `on_machine` → `on_machine_detection` and now receives a `MachineDetectionResult` (not a raw dict).
+
+See [Local Mode › call() Parameters](/python-sdk/local-mode#call-parameters-local-mode) for the full parameter table.
+
 ## What's Next
 
 <CardGroup cols={2}>
diff --git a/docs/python-sdk/configuration.mdx b/docs/python-sdk/configuration.mdx
index adf3db1f..722ba758 100644
--- a/docs/python-sdk/configuration.mdx
+++ b/docs/python-sdk/configuration.mdx
@@ -27,7 +27,7 @@ The carrier instance reads credentials from environment variables when you don't
 | `webhook_url` | `str` | `""` | Public hostname of this server, without scheme (e.g., `"abc.ngrok.io"`). See [Tunneling](/dev-tools/tunneling) for ways to get one. |
 | `tunnel` | `CloudflareTunnel \| Static \| bool \| None` | `None` | Tunnel directive. `True` is shorthand for `CloudflareTunnel()`. See [Tunneling](/dev-tools/tunneling). |
 | `pricing` | `dict \| None` | `None` | Override default provider pricing estimates. See [Metrics & Cost Tracking](/python-sdk/metrics). |
-| `persist` | `bool \| str \| None` | `None` | Persist the dashboard's call history to disk so it survives process restarts. See [Persistent dashboard history](#persistent-dashboard-history) below. |
+| `persist` | `bool \| str \| None` | `None` (=on, platform default path) | Persist the dashboard's call history to disk so it survives process restarts. Defaults **on** since 0.6.2 — the dashboard's hydrate path requires on-disk records to recover history across restarts. Pass `False` to keep the old ephemeral-RAM-only behaviour. See [Persistent dashboard history](#persistent-dashboard-history) below. |
 
 ## Environment variables
 
@@ -55,7 +55,7 @@ These tune SDK runtime behaviour (no credential lookup).
 |---------|---------|--------|
 | `PATTER_LOG_DIR` | unset | Persistent dashboard root (see [Persistent dashboard history](#persistent-dashboard-history) below). |
 | `PATTER_LOG_RETENTION_DAYS` | `30` | Days of disk history to retain. `0` disables cleanup. |
-| `PATTER_LOG_REDACT_PHONE` | `1` | Mask phone numbers in `metadata.json` (last 4 digits). Set to `0` to store full E.164. |
+| `PATTER_LOG_REDACT_PHONE` | `full` | One of `full` (store raw E.164), `mask` (last 4 digits), or `hash_only` (sha256:prefix). Changed from `mask` to `full` on 2026-05-21 so the dashboard's reveal toggle has something to reconstruct from. |
 | `PATTER_DASHBOARD_NOTIFY` | enabled | Set to `0`, `false`, `no`, or `off` (case-insensitive) to skip the fire-and-forget dashboard ingest POST. Use this when you embed Patter alongside your own FastAPI server on port 8000 to avoid 404 spam in your access log. |
 | `PATTER_BIND_HOST` | `127.0.0.1` | Host the embedded server binds to. Set to `0.0.0.0` when running inside a container whose port must be reachable from the host (e.g. `docker run -p 8000:8000` — Docker's port-mapping cannot forward to a 127.0.0.1 listener inside the container). |
 
@@ -129,8 +129,8 @@ By default the dashboard is an in-memory ring buffer — restart the process and
 
 | `persist` value | Behaviour |
 |-----------------|-----------|
-| omitted / `None` (default) | Falls back to the `PATTER_LOG_DIR` env var. If the env var is also unset, persistence is **off** — backward-compatible with prior releases. |
-| `False` | Force-off. Disk writes are skipped even when `PATTER_LOG_DIR` is set. |
+| omitted / `None` (default) | Reads `PATTER_LOG_DIR` if set; **otherwise falls back to the platform default location**. Persistence is **on by default** since 0.6.2 so the dashboard's hydrate path recovers history across process restarts. |
+| `False` | Force-off. Disk writes are skipped even when `PATTER_LOG_DIR` is set. Use this for ephemeral RAM-only behaviour. |
 | `True` | Write under the platform default location (see below). Equivalent to `PATTER_LOG_DIR=auto`. |
 | `"<path>"` (string) | Write under the supplied path (`~` is expanded). Equivalent to `PATTER_LOG_DIR=<path>`. |
 
@@ -215,7 +215,7 @@ export PATTER_LOG_RETENTION_DAYS=0
 ```
 
 <Warning>
-Retention defaults to **30 days** and phone numbers in `metadata.json` are **masked by default** (last 4 digits) via `PATTER_LOG_REDACT_PHONE`. If you need to keep call history indefinitely or store full E.164 numbers, set those env vars explicitly — and gate access to the log root, since `transcript.jsonl` is never redacted and may contain customer PII spoken during the call.
+Retention defaults to **30 days**. Phone numbers in `metadata.json` default to **full** (raw E.164) since 0.6.2 so the dashboard's reveal toggle has something to reconstruct from — set `PATTER_LOG_REDACT_PHONE=mask` for setups that ship logs off-host. Gate access to the log root regardless, since `transcript.jsonl` is never redacted and may contain customer PII spoken during the call.
 </Warning>
 
 See [Call logging](/python-sdk/call-logging) for the full layout, schema, and reading patterns.
diff --git a/docs/python-sdk/engines.mdx b/docs/python-sdk/engines.mdx
index c7183597..0e64b2f3 100644
--- a/docs/python-sdk/engines.mdx
+++ b/docs/python-sdk/engines.mdx
@@ -1,6 +1,6 @@
 ---
 title: "Engines"
-description: "End-to-end speech-to-speech runtimes (OpenAI Realtime, ElevenLabs ConvAI)."
+description: "End-to-end speech-to-speech runtimes (OpenAI Realtime, OpenAI Realtime 2, ElevenLabs ConvAI)."
 icon: "bolt"
 ---
 
@@ -8,9 +8,10 @@ icon: "bolt"
 
 An **engine** is an end-to-end speech-to-speech runtime. Pass an engine instance to `phone.agent(engine=...)` and Patter wires the audio stream straight through to the provider — no separate STT or TTS is needed.
 
-Patter ships with two engine classes today:
+Patter ships with three engine classes today:
 
-- [`OpenAIRealtime`](#openairealtime) — OpenAI's Realtime API
+- [`OpenAIRealtime`](#openairealtime) — OpenAI's Realtime API (v1-beta family, `gpt-realtime-mini` / `gpt-realtime` / `gpt-4o-*-realtime-preview`)
+- [`OpenAIRealtime2`](#openairealtime2) — OpenAI's GA Realtime API (`gpt-realtime-2`), separate marker because the GA endpoint speaks a different `session.update` wire shape
 - [`ElevenLabsConvAI`](#elevenlabsconvai) — ElevenLabs Conversational AI
 
 Each class ships as both a **flat alias** (`from getpatter import OpenAIRealtime`) and a **namespaced** class (`from getpatter.engines import openai` → `openai.Realtime()`). They are equivalent.
@@ -42,9 +43,10 @@ asyncio.run(main())
 | Parameter | Type | Default | Description |
 |-----------|------|---------|-------------|
 | `api_key` | `str` | `""` | OpenAI API key. Reads from `OPENAI_API_KEY` when empty. |
-| `language` | `str` | `"en"` | BCP-47 language code (e.g., `"ja"`, `"es"`, `"fr"`). Seeds the auto-generated fallback system prompt (`"Respond in {language}"`). Has no effect when you supply your own `system_prompt` — write the prompt in the target language and OpenAI Realtime will auto-detect from the audio. |
-| `voice` | `str` | `"alloy"` | One of `"alloy"`, `"echo"`, `"fable"`, `"onyx"`, `"nova"`, `"shimmer"`. |
-| `model` | `str` | `"gpt-4o-mini-realtime-preview"` | OpenAI Realtime model ID. See [supported models](/python-sdk/providers/openai-realtime#models). |
+| `voice` | `str` | `"alloy"` | One of `"alloy"`, `"ash"`, `"ballad"`, `"coral"`, `"echo"`, `"fable"`, `"nova"`, `"onyx"`, `"sage"`, `"shimmer"`, `"verse"`. |
+| `model` | `str` | `"gpt-realtime-mini"` | OpenAI Realtime model ID. See [supported models](/python-sdk/providers/openai-realtime#models). |
+| `reasoning_effort` | `"minimal" \| "low" \| "medium" \| "high" \| None` | `None` | Reasoning tier for `gpt-realtime-2`. `None` leaves the field unset (server default). OpenAI recommends `"low"` for production voice flows; higher tiers add measurable per-turn latency. No-op on models that ignore it. |
+| `input_audio_transcription_model` | `str \| None` | `None` | Override the Realtime session's `input_audio_transcription.model`. `None` keeps the adapter default (`"whisper-1"`). Use `"gpt-realtime-whisper"` for low-latency partials, `"gpt-4o-transcribe"` for higher accuracy. |
 
 ### Supported model identifiers
 
@@ -69,6 +71,49 @@ engine = openai_engine.Realtime()                     # reads OPENAI_API_KEY
 engine = openai_engine.Realtime(voice="nova", model="gpt-realtime-2")
 ```
 
+## OpenAIRealtime2
+
+Marker class that selects the **GA Realtime API** (`gpt-realtime-2`). The GA endpoint speaks a different `session.update` wire shape than the v1-beta family (no `OpenAI-Beta: realtime=v1` header, `session.type: "realtime"`, nested `audio.{input,output}` with MIME types, `output_modalities` instead of `modalities`), so `OpenAIRealtime2` dispatches to a separate adapter (`OpenAIRealtime2Adapter`).
+
+```python
+import asyncio
+from getpatter import Patter, Twilio, OpenAIRealtime2
+
+phone = Patter(carrier=Twilio(), phone_number="+15550001234")   # TWILIO_* from env
+
+agent = phone.agent(
+    engine=OpenAIRealtime2(reasoning_effort="low"),             # OPENAI_API_KEY from env
+    system_prompt="You are a friendly receptionist.",
+    first_message="Hello! How can I help?",
+)
+
+async def main():
+    await phone.serve(agent)
+
+asyncio.run(main())
+```
+
+| Parameter | Type | Default | Description |
+|-----------|------|---------|-------------|
+| `api_key` | `str` | `""` | OpenAI API key. Reads from `OPENAI_API_KEY` when empty. |
+| `voice` | `str` | `"alloy"` | Same voice set as `OpenAIRealtime`. |
+| `model` | `str` | `"gpt-realtime-2"` | Pinned to the GA model. Override only if OpenAI ships future GA-shaped models. |
+| `reasoning_effort` | `"minimal" \| "low" \| "medium" \| "high" \| None` | `None` | `gpt-realtime-2` reasoning tier. `"low"` is OpenAI's recommendation for production voice flows. |
+| `input_audio_transcription_model` | `str \| None` | `None` | Override for `audio.input.transcription.model`. `None` keeps the adapter default (`"whisper-1"`). |
+
+Namespaced form:
+
+```python
+from getpatter.engines import openai_realtime_2
+
+engine = openai_realtime_2.Realtime2()
+engine = openai_realtime_2.Realtime2(reasoning_effort="low")
+```
+
+<Note>
+PCM transport: the GA endpoint accepts only PCM-16-LE at >=24 kHz. Patter transcodes inbound mulaw 8 kHz → PCM 24 kHz and outbound PCM 24 kHz → mulaw 8 kHz transparently on the carrier side; you don't need to configure anything.
+</Note>
+
 ## ElevenLabsConvAI
 
 ElevenLabs Conversational AI — premium voice quality using a managed agent configured in the ElevenLabs dashboard.
diff --git a/docs/python-sdk/features.mdx b/docs/python-sdk/features.mdx
index 1e1acb8a..6a10d2f0 100644
--- a/docs/python-sdk/features.mdx
+++ b/docs/python-sdk/features.mdx
@@ -39,20 +39,30 @@ for record in recordings:
 
 Detect whether a human or machine answered an outbound call. When a machine is detected, optionally leave a voicemail message and hang up.
 
+AMD is **on by default** since 0.6.2. On Twilio, Patter uses `MachineDetection=DetectMessageEnd` + Async AMD so there is no answer-latency penalty on human pickups — the call connects immediately and the classification arrives via the `/webhooks/twilio/amd` callback. Pass `machine_detection=False` to skip per-call AMD billing when the destination is known to be a human.
+
 ```python
-# Enable AMD on outbound calls
+# AMD is on by default; just pass a voicemail_message to leave a message
+# when a machine answers.
 await phone.call(
     to="+15550009876",
     agent=agent,
-    machine_detection=True,
     voicemail_message="Hi, this is Acme Corp calling about your appointment. Please call us back at 555-000-1234.",
 )
+
+# Or opt out explicitly for a known-human destination
+await phone.call(
+    to="+15550009876",
+    agent=agent,
+    machine_detection=False,
+)
 ```
 
 | Parameter | Type | Default | Description |
 |-----------|------|---------|-------------|
-| `machine_detection` | `bool` | `False` | Enable answering machine detection. |
-| `voicemail_message` | `str` | `""` | Message to speak when a machine is detected. If empty, the call hangs up silently. |
+| `machine_detection` | `bool` | `True` | Enable answering machine detection. Defaults on since 0.6.2. Pass `False` to skip AMD billing. |
+| `voicemail_message` | `str` | `""` | Message to speak when a machine is detected. If empty, the call hangs up silently. A non-empty value implicitly enables AMD even if `machine_detection=False`. |
+| `on_machine_detection` | `Callable[[MachineDetectionResult], Awaitable[None] \| None] \| None` | `None` | Fires once when the carrier reports the AMD outcome (`human` or `machine`). Useful for acceptance tests that need to mark a run INVALID when classification is not `human`. |
 
 ### How It Works
 
diff --git a/docs/python-sdk/local-mode.mdx b/docs/python-sdk/local-mode.mdx
index 5505280d..d163d0e1 100644
--- a/docs/python-sdk/local-mode.mdx
+++ b/docs/python-sdk/local-mode.mdx
@@ -117,13 +117,18 @@ asyncio.run(main())
 
 ### call() Parameters (Local Mode)
 
+All keyword arguments are **snake_case** (e.g. `machine_detection=`, `ring_timeout=`, `on_machine_detection=`).
+
 | Parameter | Type | Default | Description |
 |-----------|------|---------|-------------|
 | `to` | `str` | *required* | Phone number to call (E.164 format). |
 | `agent` | `Agent` | *required* | Agent instance to use for this call. |
+| `first_message` | `str` | `""` | What the AI says when the callee answers. |
 | `from_number` | `str` | `""` | Override the configured phone number. |
-| `machine_detection` | `bool` | `False` | Enable answering machine detection. |
-| `voicemail_message` | `str` | `""` | Message to leave on voicemail (requires `machine_detection=True`). |
+| `machine_detection` | `bool` | `True` | Enable answering machine detection. Defaults **on** since 0.6.2 — on Twilio Patter uses `MachineDetection=DetectMessageEnd` + Async AMD so there is no answer-latency penalty on human pickups. Pass `False` to skip per-call AMD billing for known destinations. |
+| `on_machine_detection` | `Callable[[MachineDetectionResult], Awaitable[None] \| None] \| None` | `None` | Fires once when the carrier reports the AMD outcome (`human` or `machine`). |
+| `voicemail_message` | `str` | `""` | Message to leave on voicemail. A non-empty value also implicitly enables `machine_detection`. |
+| `ring_timeout` | `int \| None` | `25` | Ring timeout in seconds before treating the call as no-answer. Defaults to 25 s — production-recommended. Pass `60` for legacy carrier-default parity, or `None` to omit the parameter entirely (carrier picks its own default). |
 
 ---
 
@@ -158,11 +163,15 @@ The `LocalConfig` dataclass holds all provider credentials for local mode. It is
 | `twilio_token` | `str` | Twilio Auth Token (unpacked from `Twilio(...)`). |
 | `telnyx_key` | `str` | Telnyx API key (unpacked from `Telnyx(...)`). |
 | `telnyx_connection_id` | `str` | Telnyx Call Control Application ID (unpacked from `Telnyx(...)`). |
+| `telnyx_public_key` | `str` | Telnyx Ed25519 public key for webhook signature verification (optional). |
 | `openai_key` | `str` | OpenAI API key (resolved from `OpenAIRealtime(...)` or `OPENAI_API_KEY`). |
 | `elevenlabs_key` | `str` | ElevenLabs API key. |
 | `deepgram_key` | `str` | Deepgram API key. |
+| `cartesia_key`, `rime_key`, `lmnt_key`, `soniox_key`, `speechmatics_key`, `assemblyai_key` | `str` | Provider-specific keys backfilled from the matching constructor or env var. |
 | `phone_number` | `str` | Phone number in E.164 format. |
 | `webhook_url` | `str` | Public hostname (no scheme). |
+| `require_signature` | `bool` | When `True` (default), inbound webhooks with missing credentials return HTTP 503 instead of silently accepting. Disable only for local mock-provider testing. |
+| `persist_root` | `str \| None` | Resolved persistence path for the dashboard's on-disk call history, or `None` to disable. Set by the `persist=` argument on `Patter(...)` (with `PATTER_LOG_DIR` env fallback). |
 
 ---
 
diff --git a/docs/python-sdk/providers/openai-realtime-2.mdx b/docs/python-sdk/providers/openai-realtime-2.mdx
new file mode 100644
index 00000000..4e2dee45
--- /dev/null
+++ b/docs/python-sdk/providers/openai-realtime-2.mdx
@@ -0,0 +1,122 @@
+---
+title: "OpenAI Realtime 2 (GA)"
+description: "GA Realtime API engine — separate adapter that speaks the new session.update wire shape required by gpt-realtime-2."
+icon: "bolt"
+---
+
+# OpenAI Realtime 2
+
+`OpenAIRealtime2` is the engine marker for OpenAI's **GA Realtime API** (the production endpoint that replaces the beta `OpenAI-Beta: realtime=v1` channel). It targets `gpt-realtime-2` by default and routes through `OpenAIRealtime2Adapter` — a dedicated adapter that speaks the GA `session.update` wire shape and performs bidirectional audio transcoding (mulaw 8 kHz ↔ PCM 24 kHz) required by the GA audio engine.
+
+For the legacy beta endpoint and the lower-cost `gpt-realtime-mini` model, keep using [`OpenAIRealtime`](/python-sdk/providers/openai-realtime). The two engines coexist — pick `OpenAIRealtime2` only when you specifically want the GA endpoint or the `gpt-realtime-2` model.
+
+<Note>
+The GA endpoint rejects the legacy `OpenAI-Beta: realtime=v1` header and expects `output_modalities`, nested `audio.{input,output}` blocks with MIME-type strings, and `session.type = "realtime"`. These wire-shape differences are why GA needs its own adapter — the beta `OpenAIRealtimeAdapter` cannot reach `gpt-realtime-2` reliably.
+</Note>
+
+## When to use
+
+| Use `OpenAIRealtime2` when… | Stick with `OpenAIRealtime` when… |
+|----------------------------|-----------------------------------|
+| You want `gpt-realtime-2` — strongest instruction following + 128K context + configurable `reasoning_effort`. | You're on `gpt-realtime-mini` for cost / latency reasons. |
+| You're hitting the GA endpoint and the beta channel is being deprecated for your account. | You don't need the GA wire shape and want to keep the existing adapter path. |
+| You want the bidirectional PCM 24 kHz transcoding handled by the SDK rather than the model silently dropping mulaw frames. | Your audio is already PCM 24 kHz end-to-end and beta works for you. |
+
+## Quickstart
+
+```python
+import asyncio
+
+from getpatter import Patter, Twilio, OpenAIRealtime2
+
+phone = Patter(carrier=Twilio(), phone_number="+15555550100")  # TWILIO_* from env
+
+agent = phone.agent(
+    engine=OpenAIRealtime2(reasoning_effort="low"),
+    system_prompt="You are a friendly receptionist.",
+    first_message="Hello! How can I help today?",
+)
+
+async def main() -> None:
+    await phone.serve(agent)
+
+asyncio.run(main())
+```
+
+`reasoning_effort="low"` is OpenAI's recommended production tier for live voice — it gives the best instruction following without measurable per-turn latency.
+
+## Constructor
+
+```python
+from getpatter import OpenAIRealtime2
+
+OpenAIRealtime2(
+    api_key: str = "",                               # reads OPENAI_API_KEY
+    voice: str = "alloy",
+    model: str = "gpt-realtime-2",
+    reasoning_effort: Literal["minimal", "low", "medium", "high"] | None = None,
+    input_audio_transcription_model: str | None = None,  # default: whisper-1
+)
+```
+
+All fields are optional with safe defaults. `api_key` falls back to the `OPENAI_API_KEY` environment variable.
+
+### Reasoning effort
+
+| Value | When to use |
+|-------|-------------|
+| `"minimal"` | Snappy turn-taking. Skips most reasoning. |
+| `"low"` | **Recommended for production voice.** Good instruction following without measurable per-turn latency. |
+| `"medium"` | Multi-step tool flows where the model should plan. Adds latency. |
+| `"high"` | Complex reasoning. Not recommended for live phone calls. |
+
+When set, Patter injects `session.reasoning = { effort: ... }` into the GA `session.update` payload. When omitted, the field is not sent and OpenAI's server default applies.
+
+### Streaming transcription
+
+Set `input_audio_transcription_model` to override `audio.input.transcription.model`. The same identifiers as the beta endpoint apply — see the [streaming-transcription table on the OpenAI Realtime page](/python-sdk/providers/openai-realtime#streaming-transcription) for the full list (`whisper-1`, `gpt-4o-mini-transcribe`, `gpt-4o-transcribe`, `gpt-realtime-whisper`).
+
+## Audio path
+
+The GA audio engine speaks PCM 24 kHz and silently drops mulaw frames. Patter handles the conversion transparently inside `OpenAIRealtime2Adapter`:
+
+- **Inbound** (Twilio/Telnyx → model): mulaw 8 kHz → PCM 24 kHz
+- **Outbound** (model → Twilio/Telnyx): PCM 24 kHz → mulaw 8 kHz
+
+No caller-side change is required — both Twilio Media Streams (mulaw 8 kHz) and Telnyx Call Control (PCM 16 kHz / mulaw 8 kHz) work out of the box.
+
+## Direct adapter use
+
+`OpenAIRealtime2Adapter` is exported and may be constructed directly when you need to share connection state across calls or override low-level fields:
+
+```python
+from getpatter import OpenAIRealtime2Adapter
+
+adapter = OpenAIRealtime2Adapter(
+    api_key="",                          # reads OPENAI_API_KEY
+    model="gpt-realtime-2",
+    voice="nova",
+    instructions="You are a helpful assistant.",
+    reasoning_effort="low",
+    input_audio_transcription_model="gpt-realtime-whisper",
+)
+
+agent = phone.agent(engine=adapter, system_prompt="...", first_message="...")
+```
+
+The adapter subclasses `OpenAIRealtimeAdapter` and overrides `connect()`, `send_audio()`, `receive_events()`, and `send_first_message()` for the GA wire shape.
+
+## Backward compatibility
+
+- Existing `OpenAIRealtime(...)` callers are **unaffected**. The legacy engine continues to target the beta endpoint with `gpt-realtime-mini` as the default.
+- `OpenAIRealtime2` ships as an additive engine — no migration required. Pick it when you want the GA endpoint; otherwise stay where you are.
+- Pricing for `gpt-realtime-2` is auto-resolved per model from `DEFAULT_PRICING["openai_realtime"].models["gpt-realtime-2"]` — see [Metrics](/python-sdk/metrics).
+
+## What's Next
+
+<CardGroup cols={2}>
+  <Card title="OpenAI Realtime (beta)" icon="bolt" href="/python-sdk/providers/openai-realtime">The legacy engine for `gpt-realtime-mini` and earlier preview models.</Card>
+  <Card title="Engines" icon="bolt" href="/python-sdk/engines">All engine classes side by side.</Card>
+  <Card title="Agents" icon="user-gear" href="/python-sdk/agents">Configure system prompts, tools, and first messages.</Card>
+  <Card title="Tools" icon="screwdriver-wrench" href="/python-sdk/tools">Function calling inside a Realtime session.</Card>
+</CardGroup>
diff --git a/docs/python-sdk/providers/openai-realtime.mdx b/docs/python-sdk/providers/openai-realtime.mdx
index 9f3d33cf..efdf3faf 100644
--- a/docs/python-sdk/providers/openai-realtime.mdx
+++ b/docs/python-sdk/providers/openai-realtime.mdx
@@ -113,9 +113,9 @@ asyncio.run(main())
 ```
 </CodeGroup>
 
-<Warning>
-The `reasoning_effort` and `input_audio_transcription_model` arguments live on `OpenAIRealtimeAdapter`. The shorthand `OpenAIRealtime(model=...)` engine wrapper currently exposes only `api_key`, `voice`, and `model` — use the adapter directly when you need the new fields.
-</Warning>
+<Note>
+Since 0.6.2 you can pass `reasoning_effort` and `input_audio_transcription_model` directly to the engine wrapper — `OpenAIRealtime(model="gpt-realtime-2", reasoning_effort="low", input_audio_transcription_model="gpt-realtime-whisper")`. Reach for the lower-level `OpenAIRealtimeAdapter` only when you need every field (custom VAD type, modalities, `silence_duration_ms`, etc.). For the GA `gpt-realtime-2` endpoint, prefer the dedicated [`OpenAIRealtime2`](/python-sdk/engines#openairealtime2) marker — it dispatches to a separate adapter that handles the GA-shape `session.update` wire format automatically.
+</Note>
 
 ## Backward compatibility
 
diff --git a/docs/python-sdk/quickstart.mdx b/docs/python-sdk/quickstart.mdx
index 4bd7d717..487be9d7 100644
--- a/docs/python-sdk/quickstart.mdx
+++ b/docs/python-sdk/quickstart.mdx
@@ -110,6 +110,10 @@ You'll see the Patter banner, a Cloudflare tunnel URL, and a log line confirming
 
 Pick up your phone, dial your Twilio number, and the agent will answer with `"Hello! How can I help?"`. Start talking.
 
+<Note>
+Since 0.6.2, `Patter(...)` persists per-call records (`metadata.json`, `transcript.jsonl`, `events.jsonl`) to the platform default data directory by default so the local dashboard's call history survives process restarts. Pass `persist=False` to keep the old ephemeral-RAM-only behaviour, or `persist="/custom/path"` to choose a different location. See [Call logging](/python-sdk/call-logging) for the full layout.
+</Note>
+
 ---
 
 ## Using a different engine
diff --git a/docs/python-sdk/reference.mdx b/docs/python-sdk/reference.mdx
index ff01bfdb..3b7e1a04 100644
--- a/docs/python-sdk/reference.mdx
+++ b/docs/python-sdk/reference.mdx
@@ -19,8 +19,9 @@ Patter(
     carrier: Twilio | Telnyx | None = None,
     phone_number: str = "",
     webhook_url: str = "",
-    tunnel: CloudflareTunnel | Static | bool | None = None,
+    tunnel: CloudflareTunnel | Static | Ngrok | bool | None = None,
     pricing: dict | None = None,
+    persist: bool | str | None = None,
 )
 ```
 
@@ -29,8 +30,9 @@ Patter(
 | `carrier` | `Twilio \| Telnyx \| None` | `None` | Telephony carrier instance. Reads credentials from env vars when arguments are omitted. |
 | `phone_number` | `str` | `""` | Phone number in E.164 format. |
 | `webhook_url` | `str` | `""` | Public hostname, no scheme. |
-| `tunnel` | `CloudflareTunnel \| Static \| bool \| None` | `None` | Tunnel directive. `True` is shorthand for `CloudflareTunnel()`. |
+| `tunnel` | `CloudflareTunnel \| Static \| Ngrok \| bool \| None` | `None` | Tunnel directive. `True` is shorthand for `CloudflareTunnel()`. |
 | `pricing` | `dict \| None` | `None` | Override default provider pricing. See [Metrics & Cost Tracking](/python-sdk/metrics). |
+| `persist` | `bool \| str \| None` | `None` | Persistent dashboard history. `None` (default) → falls back to `PATTER_LOG_DIR`, then platform default — i.e. persistence is ON by default since 0.6.2. `False` force-off. `True` → platform default path. String → explicit path (`~` expanded). See [Configuration](/python-sdk/configuration#persistent-dashboard-history). |
 
 ---
 
@@ -41,12 +43,12 @@ Patter(
 ```python
 def agent(
     system_prompt: str,
-    engine: OpenAIRealtime | ElevenLabsConvAI | None = None,
+    engine: OpenAIRealtime | OpenAIRealtime2 | ElevenLabsConvAI | None = None,
     stt: STTProvider | None = None,
     llm: LLMProvider | None = None,
     tts: TTSProvider | None = None,
     voice: str = "alloy",
-    model: str = "gpt-4o-mini-realtime-preview",
+    model: str = "gpt-realtime-mini",
     language: str = "en",
     first_message: str = "",
     tools: list[Tool] | None = None,
@@ -60,20 +62,23 @@ def agent(
     barge_in_threshold_ms: int = 300,
     aggressive_first_flush: bool = False,
     disable_phone_preamble: bool = False,
+    echo_cancellation: bool = False,
+    mcp_servers: list | None = None,
+    prewarm_first_message: bool | None = None,
 ) -> Agent
 ```
 
-Pass `engine=OpenAIRealtime(...)` or `engine=ElevenLabsConvAI(...)` for end-to-end engines; omit `engine=` and pass `stt=`/`tts=` for pipeline mode.
+Pass `engine=OpenAIRealtime(...)`, `engine=OpenAIRealtime2(...)`, or `engine=ElevenLabsConvAI(...)` for end-to-end engines; omit `engine=` and pass `stt=`/`tts=` for pipeline mode.
 
 | Parameter | Type | Default | Description |
 |-----------|------|---------|-------------|
 | `system_prompt` | `str` | *required* | Agent instructions. |
-| `engine` | `OpenAIRealtime \| ElevenLabsConvAI \| None` | `None` | End-to-end voice runtime. Omit for pipeline mode. |
+| `engine` | `OpenAIRealtime \| OpenAIRealtime2 \| ElevenLabsConvAI \| None` | `None` | End-to-end voice runtime. Omit for pipeline mode. |
 | `stt` | `STTProvider \| None` | `None` | STT instance for pipeline mode (e.g. `DeepgramSTT()`). |
 | `llm` | `LLMProvider \| None` | `None` | LLM provider instance for pipeline mode (e.g. `AnthropicLLM()`). Mutually exclusive with `on_message` on `serve()`. Ignored when `engine` is set. |
 | `tts` | `TTSProvider \| None` | `None` | TTS instance for pipeline mode (e.g. `ElevenLabsTTS()`). |
 | `voice` | `str` | `"alloy"` | TTS voice name (when engine doesn't carry it). |
-| `model` | `str` | `"gpt-4o-mini-realtime-preview"` | AI model ID (when engine doesn't carry it). |
+| `model` | `str` | `"gpt-realtime-mini"` | AI model ID (when engine doesn't carry it). |
 | `language` | `str` | `"en"` | BCP-47 language code. |
 | `first_message` | `str` | `""` | Greeting spoken at call start. |
 | `tools` | `list[Tool] \| None` | `None` | `Tool(...)` instances for function calling. |
@@ -87,6 +92,9 @@ Pass `engine=OpenAIRealtime(...)` or `engine=ElevenLabsConvAI(...)` for end-to-e
 | `barge_in_threshold_ms` | `int` | `300` | Barge-in hang-over window (ms). Set to `0` to disable. |
 | `aggressive_first_flush` | `bool` | `False` | Emit the first clause on a soft punctuation boundary (`,`, em/en-dash) once buffer ≥40 chars. Saves 200–500 ms TTFA. Hard-disabled when `language` starts with `"it"`. Pipeline mode only. |
 | `disable_phone_preamble` | `bool` | `False` | Disable the phone-friendly preamble Patter prepends to `system_prompt` (no markdown / emojis / lists, numbers spelled out, replies kept short). Default `False` keeps the preamble on. |
+| `echo_cancellation` | `bool` | `False` | Pipeline mode only. Instantiates an `NlmsEchoCanceller` per call so the agent's own TTS bleed is removed from the inbound mic before VAD/STT. See [Echo Cancellation](/python-sdk/features#echo-cancellation-nlms-aec). |
+| `mcp_servers` | `list \| None` | `None` | List of MCP server definitions exposed to the agent as tools. See [MCP](/python-sdk/mcp). |
+| `prewarm_first_message` | `bool \| None` | `None` (=`False`) | Opt in to pre-rendering `first_message` TTS during the ringing window so playback starts instantly on pickup. Off by default in 0.6.2 — re-enable per agent when you've validated barge-in interaction. |
 
 **Raises:** `ValueError` if required credentials are missing or conflicting options are passed (e.g. both `engine` and `stt`/`tts`).
 
@@ -120,17 +128,21 @@ Start the embedded server. Blocks until stopped.
 ```python
 async def call(
     to: str,
+    agent: Agent | None = None,
     first_message: str = "",
     from_number: str = "",
-    agent: Agent | None = None,
-    machine_detection: bool = False,
-    on_machine: Callable[[dict], Awaitable[None]] | None = None,
+    machine_detection: bool = True,
+    on_machine_detection: Callable[[MachineDetectionResult], Awaitable[None] | None] | None = None,
     voicemail_message: str = "",
-    ring_timeout: int | None = None,
+    ring_timeout: int | None = 25,
 ) -> None
 ```
 
-Make an outbound call.
+Make an outbound call. Keyword arguments are **snake_case** — e.g. `machine_detection=`, `ring_timeout=`, `on_machine_detection=` (the latter was renamed from `on_machine` in 0.6.2; the callback receives a `MachineDetectionResult` not a raw dict).
+
+`machine_detection` defaults to **`True`** since 0.6.2 — on Twilio Patter uses `MachineDetection=DetectMessageEnd` + Async AMD so there is no answer-latency penalty on human pickups. Pass `machine_detection=False` to skip per-call AMD billing for known destinations.
+
+`ring_timeout` defaults to **25 seconds**, the production-recommended value. Pass `60` for legacy carrier-default parity, or `None` to omit the parameter entirely (carrier picks its own default).
 
 ---
 
@@ -190,8 +202,8 @@ class Telnyx:
 ## Engines
 
 ```python
-from getpatter import OpenAIRealtime, ElevenLabsConvAI              # flat aliases
-from getpatter.engines import openai, elevenlabs                     # namespaced
+from getpatter import OpenAIRealtime, OpenAIRealtime2, ElevenLabsConvAI   # flat aliases
+from getpatter.engines import openai, openai_realtime_2, elevenlabs       # namespaced
 ```
 
 ### OpenAIRealtime
@@ -201,9 +213,25 @@ from getpatter.engines import openai, elevenlabs                     # namespace
 class OpenAIRealtime:
     api_key: str = ""                                # reads OPENAI_API_KEY when empty
     voice: str = "alloy"
-    model: str = "gpt-4o-mini-realtime-preview"
+    model: str = "gpt-realtime-mini"
+    reasoning_effort: Literal["minimal", "low", "medium", "high"] | None = None
+    input_audio_transcription_model: str | None = None
+```
+
+### OpenAIRealtime2
+
+```python
+@dataclass(frozen=True)
+class OpenAIRealtime2:
+    api_key: str = ""                                # reads OPENAI_API_KEY when empty
+    voice: str = "alloy"
+    model: str = "gpt-realtime-2"
+    reasoning_effort: Literal["minimal", "low", "medium", "high"] | None = None
+    input_audio_transcription_model: str | None = None
 ```
 
+Selects the GA Realtime API. Separate marker from `OpenAIRealtime` because the GA endpoint speaks a different `session.update` wire shape. See [Engines › OpenAIRealtime2](/python-sdk/engines#openairealtime2).
+
 ### ElevenLabsConvAI
 
 ```python
@@ -315,7 +343,7 @@ All data classes are frozen (immutable) dataclasses.
 class Agent:
     system_prompt: str
     voice: str = "alloy"
-    model: str = "gpt-4o-mini-realtime-preview"
+    model: str = "gpt-realtime-mini"
     language: str = "en"
     first_message: str = ""
     tools: list[dict] | None = None
@@ -332,9 +360,11 @@ class Agent:
     barge_in_threshold_ms: int = 300
     aggressive_first_flush: bool = False
     disable_phone_preamble: bool = False
+    echo_cancellation: bool = False
+    prewarm_first_message: bool = False
 ```
 
-`provider` is a closed string literal — only `"openai_realtime"`, `"elevenlabs_convai"`, or `"pipeline"` are valid. It is normally derived from `engine` / `stt`+`tts` and rarely set by hand.
+`provider` is a closed string literal — `"openai_realtime"`, `"openai_realtime_2"`, `"elevenlabs_convai"`, or `"pipeline"`. It is normally derived from `engine` / `stt`+`tts` and rarely set by hand.
 
 ### CallEvent
 
@@ -462,7 +492,7 @@ from getpatter import (
     TwilioAdapter, TelnyxAdapter,                  # advanced: direct adapter access
 
     # Engines
-    OpenAIRealtime, ElevenLabsConvAI,
+    OpenAIRealtime, OpenAIRealtime2, ElevenLabsConvAI,
 
     # STT classes
     DeepgramSTT, WhisperSTT, OpenAITranscribeSTT,
@@ -513,7 +543,7 @@ from getpatter import (
 )
 
 from getpatter.carriers import twilio, telnyx
-from getpatter.engines import openai, elevenlabs
+from getpatter.engines import openai, openai_realtime_2, elevenlabs
 from getpatter.stt import deepgram, whisper, openai_transcribe, cartesia, assemblyai, soniox, speechmatics
 from getpatter.tts import elevenlabs, openai, cartesia, rime, lmnt
 from getpatter.llm import openai, anthropic, groq, cerebras, google
diff --git a/docs/python-sdk/test-mode.mdx b/docs/python-sdk/test-mode.mdx
index f795a6c4..5e9ff2fb 100644
--- a/docs/python-sdk/test-mode.mdx
+++ b/docs/python-sdk/test-mode.mdx
@@ -31,7 +31,7 @@ This opens an interactive REPL:
 ============================================================
   PATTER TEST MODE
 ============================================================
-  Agent: gpt-4o-mini-realtime-preview / alloy
+  Agent: gpt-realtime-mini / alloy
   Provider: openai_realtime
   Call ID: test_a1b2c3d4e5f6
   Caller: +15550000001  →  Callee: +15550000002
diff --git a/docs/python-sdk/tts.mdx b/docs/python-sdk/tts.mdx
index 987f7350..b9e28a02 100644
--- a/docs/python-sdk/tts.mdx
+++ b/docs/python-sdk/tts.mdx
@@ -83,7 +83,7 @@ tts = ElevenLabsTTS(api_key="...", voice_id="EXAVITQu4vr4xnSDxMaL", model_id="el
 | Parameter | Type | Default | Description |
 |-----------|------|---------|-------------|
 | `api_key` | `str \| None` | `None` | API key — reads from `ELEVENLABS_API_KEY` if omitted. |
-| `voice_id` | `str` | `"EXAVITQu4vr4xnSDxMaL"` (Sarah) | ElevenLabs voice ID (or name). |
+| `voice_id` | `str` | `"21m00Tcm4TlvDq8ikWAM"` (Rachel) | ElevenLabs voice ID (or name). |
 | `model_id` | `ElevenLabsModel \| str` | `"eleven_flash_v2_5"` | Typed literal: `eleven_flash_v2_5` / `eleven_turbo_v2_5` / `eleven_v3` / `eleven_multilingual_v2` / `eleven_monolingual_v1`. |
 | `output_format` | `str` | `"pcm_16000"` | ElevenLabs output format. |
 
diff --git a/docs/typescript-sdk/agents.mdx b/docs/typescript-sdk/agents.mdx
index 8ea84ca4..0e11e85a 100644
--- a/docs/typescript-sdk/agents.mdx
+++ b/docs/typescript-sdk/agents.mdx
@@ -59,7 +59,7 @@ Available LLM providers: `OpenAILLM`, `AnthropicLLM`, `GroqLLM`, `CerebrasLLM`,
 | Parameter | Type | Required | Default | Description |
 |-----------|------|----------|---------|-------------|
 | `systemPrompt` | `string` | Yes | — | Instructions that define the agent's persona and behavior. |
-| `engine` | `OpenAIRealtime \| ElevenLabsConvAI` | No | defaults to `OpenAIRealtime` | End-to-end engine. See [Engines](/typescript-sdk/engines). Omit for pipeline mode. |
+| `engine` | `OpenAIRealtime \| OpenAIRealtime2 \| ElevenLabsConvAI` | No | defaults to `OpenAIRealtime` when none provided and pipeline pieces are absent | End-to-end engine. See [Engines](/typescript-sdk/engines). Omit for pipeline mode. |
 | `stt` | `STTProvider` | No | — | STT instance for pipeline mode (`new DeepgramSTT()`, `new CartesiaSTT()`, ...). |
 | `llm` | `LLMProvider` | No | — | LLM instance for pipeline mode (`new AnthropicLLM()`, `new GroqLLM()`, ...). Mutually exclusive with `onMessage` on `serve()`. Ignored when `engine` is set. See [LLM](/typescript-sdk/llm). |
 | `tts` | `TTSProvider` | No | — | TTS instance for pipeline mode (`new ElevenLabsTTS()`, `new RimeTTS()`, ...). |
diff --git a/docs/typescript-sdk/call-logging.mdx b/docs/typescript-sdk/call-logging.mdx
index b73a6ac3..97473f5f 100644
--- a/docs/typescript-sdk/call-logging.mdx
+++ b/docs/typescript-sdk/call-logging.mdx
@@ -4,7 +4,7 @@ description: "Opt-in per-call filesystem logs: metadata, transcripts, and operat
 icon: "folder-open"
 ---
 
-Patter can persist every call to a directory tree on disk so you can replay transcripts, audit tool calls, and track latency/cost trends without running a hosted dashboard. Logging is **opt-in and off by default** — nothing is written unless you ask for it.
+Patter can persist every call to a directory tree on disk so you can replay transcripts, audit tool calls, and track latency/cost trends without running a hosted dashboard. Persistence is **on by default since 0.6.2** (writes land under the platform default location described below) so the dashboard rebuilds across process restarts without extra wiring. Pass `persist: false` to keep the prior ephemeral-RAM-only behaviour.
 
 The same on-disk layout also backs the local dashboard's call history: when persistence is enabled, `phone.serve()` rebuilds the in-memory dashboard from disk on startup so call history survives process restarts without an external database.
 
@@ -30,7 +30,7 @@ const phone = new Patter({
 
 | `persist` value | Behaviour |
 |-----------------|-----------|
-| omitted / `undefined` (default) | Falls back to `PATTER_LOG_DIR`; off when env is also unset (backward-compatible). |
+| omitted / `undefined` (default) | **On**. Falls back to `PATTER_LOG_DIR` when set; otherwise writes under the platform default location. (Changed from opt-in to default-on in 0.6.2 for dashboard hydrate.) |
 | `false` | Force-off, even if `PATTER_LOG_DIR` is set. |
 | `true` | Platform default location (see below). |
 | `"<path>"` | Use the supplied path (`~` expanded). |
@@ -53,7 +53,7 @@ Platform defaults for `auto` (and for `persist: true`):
 - Linux: `$XDG_DATA_HOME/patter` (falls back to `~/.local/share/patter`)
 - Windows: `%LOCALAPPDATA%\patter`
 
-When `persist` is unset and the env var is unset, the logger is a no-op — no directories are created, no files are written. When `persist` is set explicitly, the env var is ignored.
+When `persist` is set explicitly the env var is ignored. When `persist` is left unset (the default) the logger uses `PATTER_LOG_DIR` if set, otherwise the platform default location. Pass `persist: false` to disable disk writes entirely.
 
 ## Layout
 
@@ -159,7 +159,7 @@ for (const line of transcript.split('\n').filter(Boolean)) {
 ## Safety guarantees
 
 - File-write errors never raise into the call path — a full disk or a permissions hiccup logs a warning and the call continues uninterrupted.
-- When persistence is disabled (`persist: false`, or `persist` unset and `PATTER_LOG_DIR` unset), `CallLogger.enabled` is `false` and every method returns immediately.
+- When persistence is disabled (`persist: false`), `CallLogger.enabled` is `false` and every method returns immediately.
 
 ## Interop
 
diff --git a/docs/typescript-sdk/carrier.mdx b/docs/typescript-sdk/carrier.mdx
index 184cec4d..ee95553f 100644
--- a/docs/typescript-sdk/carrier.mdx
+++ b/docs/typescript-sdk/carrier.mdx
@@ -36,6 +36,10 @@ const phone = new Patter({
 
 On `serve()`, Patter automatically sets the `voice_url` on the Twilio number to `https://<webhookUrl>/webhooks/twilio/voice` via the Twilio REST API — no manual Console configuration needed.
 
+### How caller / callee reach the agent
+
+Inbound Twilio calls deliver the caller and callee numbers via TwiML `<Parameter name="caller" value="..."/>` / `<Parameter name="callee" value="..."/>` children of `<Stream>` — Twilio surfaces these on the WS `start` frame as `start.customParameters`. Patter's `/webhooks/twilio/voice` route emits this TwiML automatically. If you construct the TwiML yourself, build it with `TwilioAdapter.generateStreamTwiml(streamUrl, { caller, callee })` so the values land on the WS `start` frame. Query-string parameters on the `<Stream url=...>` are stripped by Twilio before the WS handshake and will not work.
+
 ### Signature verification
 
 The Auth Token is also used to verify every Twilio webhook with HMAC-SHA1 against the `X-Twilio-Signature` header. Requests with invalid signatures are rejected with HTTP 403.
@@ -67,6 +71,10 @@ const phone = new Patter({
 | `connectionId` | `string` | — | Call Control Application ID. Reads from `TELNYX_CONNECTION_ID` when omitted. |
 | `publicKey` | `string` | — | Optional. Ed25519 public key for webhook signature verification. Reads from `TELNYX_PUBLIC_KEY` when omitted. |
 
+### How caller / callee reach the agent
+
+The Telnyx WS upgrade URL carries the metadata as query-string parameters: `wss://<webhookUrl>/ws/stream/<callControlId>?caller=<from>&callee=<to>`. Telnyx preserves the query string through the WebSocket handshake, so no equivalent of TwiML `<Parameter>` is needed.
+
 ### Signature verification
 
 When `publicKey` is set (or `TELNYX_PUBLIC_KEY` is present), every Telnyx webhook is verified with Ed25519. Requests older than 5 minutes are rejected (replay protection).
diff --git a/docs/typescript-sdk/configuration.mdx b/docs/typescript-sdk/configuration.mdx
index a4ad78cd..39678081 100644
--- a/docs/typescript-sdk/configuration.mdx
+++ b/docs/typescript-sdk/configuration.mdx
@@ -27,7 +27,7 @@ The carrier instance reads credentials from environment variables when you don't
 | `webhookUrl` | `string` | Conditional | — | Public hostname for webhooks (no protocol prefix, no path). Required unless using `tunnel: true` in `serve()`. |
 | `tunnel` | `CloudflareTunnel \| StaticTunnel \| boolean` | No | — | Tunnel directive. `true` is shorthand for `new CloudflareTunnel()`. See [Tunneling](/dev-tools/tunneling). |
 | `pricing` | `Record<string, Partial<ProviderPricing>>` | No | — | Override default provider pricing estimates. See [Metrics](/typescript-sdk/metrics). |
-| `persist` | `boolean \| string` | No | — | Persist the dashboard's call history to disk so it survives process restarts. See [Persistent dashboard history](#persistent-dashboard-history) below. |
+| `persist` | `boolean \| string` | No | `true` (on, platform default path) | Persist the dashboard's call history to disk so it survives process restarts. Defaults to ON since 0.6.2 — pass `persist: false` to keep the prior ephemeral-RAM-only behaviour. See [Persistent dashboard history](#persistent-dashboard-history) below. |
 
 ## Webhook URL Format
 
@@ -134,7 +134,7 @@ By default the dashboard is an in-memory ring buffer — restart the process and
 
 | `persist` value | Behaviour |
 |-----------------|-----------|
-| omitted / `undefined` (default) | Falls back to the `PATTER_LOG_DIR` env var. If the env var is also unset, persistence is **off** — backward-compatible with prior releases. |
+| omitted / `undefined` (default) | Persistence is **on**. Falls back to `PATTER_LOG_DIR` when set; otherwise writes under the platform default location. Changed from opt-in to default-on in 0.6.2 so the dashboard's hydrate path can rebuild call history across process restarts without extra wiring. |
 | `false` | Force-off. Disk writes are skipped even when `PATTER_LOG_DIR` is set. |
 | `true` | Write under the platform default location (see below). Equivalent to `PATTER_LOG_DIR=auto`. |
 | `"<path>"` (string) | Write under the supplied path (`~` is expanded). Equivalent to `PATTER_LOG_DIR=<path>`. |
diff --git a/docs/typescript-sdk/dashboard.mdx b/docs/typescript-sdk/dashboard.mdx
index a34fec56..93958402 100644
--- a/docs/typescript-sdk/dashboard.mdx
+++ b/docs/typescript-sdk/dashboard.mdx
@@ -17,7 +17,8 @@ Patter ships a built-in web dashboard for monitoring calls in real time. It runs
 The dashboard is enabled by default whenever you start a server in local mode:
 
 ```typescript
-await phone.serve(agent, {
+await phone.serve({
+  agent,
   port: 8000,
   dashboard: true,                // Enable dashboard (default: true)
   dashboardToken: "secret",       // Optional: protect with a token
@@ -35,7 +36,8 @@ Once running, open your browser at `http://127.0.0.1:8000/`.
 Protect the dashboard with a token:
 
 ```typescript
-await phone.serve(agent, {
+await phone.serve({
+  agent,
   port: 8000,
   dashboardToken: "my-secret-token",
 });
diff --git a/docs/typescript-sdk/engines.mdx b/docs/typescript-sdk/engines.mdx
index 6e8a1afc..21b1f7f8 100644
--- a/docs/typescript-sdk/engines.mdx
+++ b/docs/typescript-sdk/engines.mdx
@@ -8,12 +8,13 @@ icon: "bolt"
 
 An **engine** is an end-to-end speech-to-speech runtime. Pass an engine instance to `phone.agent({ engine })` and Patter wires the audio stream straight through to the provider — no separate STT or TTS is needed.
 
-Patter ships with two engine classes today:
+Patter ships with three engine classes today:
 
-- [`OpenAIRealtime`](#openairealtime) — OpenAI's Realtime API
+- [`OpenAIRealtime`](#openairealtime) — OpenAI's Realtime API (beta endpoint)
+- [`OpenAIRealtime2`](#openairealtime2) — OpenAI's GA Realtime API (targets `gpt-realtime-2`)
 - [`ElevenLabsConvAI`](#elevenlabsconvai) — ElevenLabs Conversational AI
 
-Both classes are imported by name from the package barrel: `import { OpenAIRealtime, ElevenLabsConvAI } from "getpatter"`.
+All three classes are imported by name from the package barrel: `import { OpenAIRealtime, OpenAIRealtime2, ElevenLabsConvAI } from "getpatter"`.
 
 If you need full control over STT, LLM, and TTS independently, use [pipeline mode](/typescript-sdk/llm#pipeline-mode) instead and omit `engine`.
 
@@ -41,6 +42,8 @@ await phone.serve({ agent });
 | `apiKey` | `string` | — | OpenAI API key. Reads from `OPENAI_API_KEY` when omitted. |
 | `voice` | `string` | `"alloy"` | One of `"alloy"`, `"ash"`, `"ballad"`, `"coral"`, `"echo"`, `"sage"`, `"shimmer"`, `"verse"`. |
 | `model` | `string` | `"gpt-4o-mini-realtime-preview"` | OpenAI Realtime model ID. See [supported models](/typescript-sdk/providers/openai-realtime#models). |
+| `reasoningEffort` | `"minimal" \| "low" \| "medium" \| "high"` | — | Reasoning-effort tier for `gpt-realtime-2`. When omitted, the field is not sent and the server default applies. OpenAI recommends `"low"` for production voice. |
+| `inputAudioTranscriptionModel` | `string` | — | Override for the Realtime session's `input_audio_transcription.model`. Omit to keep `whisper-1`. |
 
 ### Supported model identifiers
 
@@ -48,14 +51,45 @@ The `model` option accepts any OpenAI Realtime model ID. Common values:
 
 | Model | Notes |
 |-------|-------|
-| `"gpt-realtime-mini"` | Default. Lowest latency / lowest cost. |
+| `"gpt-4o-mini-realtime-preview"` | Engine marker default. Earlier preview line — cheap and low-latency. |
+| `"gpt-realtime-mini"` | GA mini — recommended cheap default for new deployments. |
 | `"gpt-realtime"` | GA realtime model (Aug 2025). |
-| `"gpt-realtime-2"` | Most-capable: stronger instruction following, configurable `reasoningEffort`, 128K context. |
+| `"gpt-realtime-2"` | Most-capable: stronger instruction following, configurable `reasoningEffort`, 128K context. Use [`OpenAIRealtime2`](#openairealtime2) for the GA wire shape. |
 | `"gpt-4o-realtime-preview"` | Earlier preview line; ~10x the per-token cost of mini. |
-| `"gpt-4o-mini-realtime-preview"` | Earlier preview line. |
 
 Pricing is auto-resolved per model — see [Metrics](/typescript-sdk/metrics). For `reasoningEffort`, transcription model, and the full configuration surface, see [OpenAI Realtime — full reference](/typescript-sdk/providers/openai-realtime).
 
+## OpenAIRealtime2
+
+OpenAI's **GA Realtime API** — separate engine marker because the GA endpoint speaks a different `session.update` wire shape (`output_modalities`, nested `audio.{input,output}` blocks, `session.type = "realtime"`) and rejects the legacy beta header. Targets `gpt-realtime-2` by default and routes through `OpenAIRealtime2Adapter`, which also handles bidirectional mulaw 8 kHz ↔ PCM 24 kHz transcoding (the GA audio engine silently drops mulaw frames).
+
+```typescript
+// npx tsx example.ts
+import { Patter, Twilio, OpenAIRealtime2 } from "getpatter";
+
+const phone = new Patter({ carrier: new Twilio(), phoneNumber: "+15550001234" });
+
+const agent = phone.agent({
+  engine: new OpenAIRealtime2({ reasoningEffort: "low" }),  // OPENAI_API_KEY from env
+  systemPrompt: "You are a helpful assistant.",
+  firstMessage: "Hello!",
+});
+
+await phone.serve({ agent });
+```
+
+| Parameter | Type | Default | Description |
+|-----------|------|---------|-------------|
+| `apiKey` | `string` | — | OpenAI API key. Reads from `OPENAI_API_KEY` when omitted. |
+| `voice` | `string` | `"alloy"` | Voice preset. |
+| `model` | `string` | `"gpt-realtime-2"` | GA Realtime model. |
+| `reasoningEffort` | `"minimal" \| "low" \| "medium" \| "high"` | — | When omitted, the field is not sent and the server default applies. OpenAI recommends `"low"` for production voice. |
+| `inputAudioTranscriptionModel` | `string` | — | Override for `audio.input.transcription.model`. Omit to keep `whisper-1`. |
+
+<Note>
+The GA adapter pins `turn_detection.create_response: false` and `interrupt_response: false` in the `session.update` payload. Patter owns response creation (`response.create`) and barge-in cancellation explicitly so the hallucination filter and barge-in pipeline can decide per turn rather than letting the server VAD auto-trigger. See [`OpenAIRealtime2` — full reference](/typescript-sdk/providers/openai-realtime-2).
+</Note>
+
 ## ElevenLabsConvAI
 
 ElevenLabs Conversational AI — premium voice quality using a managed agent configured in the ElevenLabs dashboard.
diff --git a/docs/typescript-sdk/local-mode.mdx b/docs/typescript-sdk/local-mode.mdx
index 09036bfd..806518f7 100644
--- a/docs/typescript-sdk/local-mode.mdx
+++ b/docs/typescript-sdk/local-mode.mdx
@@ -78,13 +78,12 @@ Returns `{ "status": "ok", "mode": "local" }`.
 
 ## WebSocket Streams
 
-Audio streams are handled over WebSocket:
+Audio streams are handled over WebSocket. The server upgrades HTTP connections to WebSocket on the `/ws/stream/` path and each call gets its own connection. How `caller` and `callee` reach the handler depends on the carrier:
 
-```
-wss://{webhookUrl}/ws/stream/{callId}?caller={caller}&callee={callee}
-```
+- **Twilio** — the `wss://{webhookUrl}/ws/stream/{callId}` URL has no query string. Twilio strips query-string params during the WS upgrade handshake, so the inbound TwiML emits the caller / callee as `<Parameter name="caller" value="..."/>` / `<Parameter name="callee" value="..."/>` children of `<Stream>`. The values are then surfaced in the WS `start` frame as `start.customParameters` and applied by `StreamHandler.handleCallStart`.
+- **Telnyx** — `wss://{webhookUrl}/ws/stream/{callControlId}?caller={caller}&callee={callee}`. The Call Control flow includes the metadata in the answer command and the SDK reads the query string on the WS upgrade.
 
-The server upgrades HTTP connections to WebSocket on the `/ws/stream/` path. Each call gets its own WebSocket connection.
+If you construct the inbound TwiML yourself (rather than letting Patter's `/webhooks/twilio/voice` route emit it), use `TwilioAdapter.generateStreamTwiml(streamUrl, { caller, callee })` — the `parameters` argument is forwarded as `<Parameter>` children of `<Stream>` so it lands on `start.customParameters`.
 
 ### Rate Limiting
 
diff --git a/docs/typescript-sdk/mcp.mdx b/docs/typescript-sdk/mcp.mdx
index 33b33a1a..7833d5cb 100644
--- a/docs/typescript-sdk/mcp.mdx
+++ b/docs/typescript-sdk/mcp.mdx
@@ -51,7 +51,7 @@ const agent = phone.agent({
   ],
 });
 
-await phone.serve(agent, { port: 8000 });
+await phone.serve({ agent, port: 8000 });
 ```
 
 At call start you'll see a log line:
@@ -154,7 +154,7 @@ const agent = phone.agent({
   ],
 });
 
-await phone.serve(agent, { port: 8000 });
+await phone.serve({ agent, port: 8000 });
 ```
 
 ```python Python
diff --git a/docs/typescript-sdk/metrics.mdx b/docs/typescript-sdk/metrics.mdx
index 9e9cbc2e..adc6ca69 100644
--- a/docs/typescript-sdk/metrics.mdx
+++ b/docs/typescript-sdk/metrics.mdx
@@ -161,15 +161,14 @@ The most common case: pick a model on your adapter, and Patter bills the right r
 
 <CodeGroup>
 ```typescript TypeScript
-import { Patter, Twilio } from "getpatter";
-import { OpenAIRealtimeAdapter, OpenAIRealtimeModel } from "getpatter";
+import { Patter, Twilio, OpenAIRealtime } from "getpatter";
 
-const agent = Patter.agent({
+const phone = new Patter({ carrier: new Twilio(), phoneNumber: "+15550001234" });
+
+const agent = phone.agent({
   systemPrompt: "You are a helpful assistant.",
-  realtime: new OpenAIRealtimeAdapter({ model: OpenAIRealtimeModel.GPT_REALTIME_2 }),
+  engine: new OpenAIRealtime({ model: "gpt-realtime-2" }),
 });
-
-const phone = new Patter({ carrier: new Twilio(), phoneNumber: "+15550001234" });
 // Billing auto-uses the gpt-realtime-2 rate ($32/M audio in, $64/M audio out).
 ```
 
diff --git a/docs/typescript-sdk/providers/anthropic.mdx b/docs/typescript-sdk/providers/anthropic.mdx
index 8aac72db..1ee42e38 100644
--- a/docs/typescript-sdk/providers/anthropic.mdx
+++ b/docs/typescript-sdk/providers/anthropic.mdx
@@ -75,7 +75,7 @@ const agent = phone.agent({
   firstMessage: "Hi, how can I help?",
 });
 
-await phone.serve(agent);
+await phone.serve({ agent });
 ```
 
 ```python Python
diff --git a/docs/typescript-sdk/providers/cerebras.mdx b/docs/typescript-sdk/providers/cerebras.mdx
index 5eee4e88..cefb4ea8 100644
--- a/docs/typescript-sdk/providers/cerebras.mdx
+++ b/docs/typescript-sdk/providers/cerebras.mdx
@@ -86,7 +86,7 @@ const agent = phone.agent({
   firstMessage: "Hi, how can I help?",
 });
 
-await phone.serve(agent);
+await phone.serve({ agent });
 ```
 
 ```python Python
diff --git a/docs/typescript-sdk/providers/google.mdx b/docs/typescript-sdk/providers/google.mdx
index 341946a4..e927815f 100644
--- a/docs/typescript-sdk/providers/google.mdx
+++ b/docs/typescript-sdk/providers/google.mdx
@@ -82,7 +82,7 @@ const agent = phone.agent({
   firstMessage: "Hi, how can I help?",
 });
 
-await phone.serve(agent);
+await phone.serve({ agent });
 ```
 
 ```python Python
diff --git a/docs/typescript-sdk/providers/groq.mdx b/docs/typescript-sdk/providers/groq.mdx
index 61139eb7..80f2b453 100644
--- a/docs/typescript-sdk/providers/groq.mdx
+++ b/docs/typescript-sdk/providers/groq.mdx
@@ -83,7 +83,7 @@ const agent = phone.agent({
   firstMessage: "Hi, how can I help?",
 });
 
-await phone.serve(agent);
+await phone.serve({ agent });
 ```
 
 ```python Python
diff --git a/docs/typescript-sdk/providers/openai-realtime-2.mdx b/docs/typescript-sdk/providers/openai-realtime-2.mdx
new file mode 100644
index 00000000..fba067e8
--- /dev/null
+++ b/docs/typescript-sdk/providers/openai-realtime-2.mdx
@@ -0,0 +1,134 @@
+---
+title: "OpenAI Realtime 2 (GA)"
+description: "GA Realtime API engine — separate adapter that speaks the new session.update wire shape required by gpt-realtime-2."
+icon: "bolt"
+---
+
+# OpenAI Realtime 2
+
+`OpenAIRealtime2` is the engine marker for OpenAI's **GA Realtime API** (the production endpoint that replaces the beta `OpenAI-Beta: realtime=v1` channel). It targets `gpt-realtime-2` by default and routes through `OpenAIRealtime2Adapter` — a dedicated adapter that speaks the GA `session.update` wire shape and performs bidirectional audio transcoding (mulaw 8 kHz ↔ PCM 24 kHz) required by the GA audio engine.
+
+For the legacy beta endpoint and the lower-cost `gpt-realtime-mini` model, keep using [`OpenAIRealtime`](/typescript-sdk/providers/openai-realtime). The two engines coexist — pick `OpenAIRealtime2` only when you specifically want the GA endpoint or the `gpt-realtime-2` model.
+
+<Note>
+The GA endpoint rejects the legacy `OpenAI-Beta: realtime=v1` header and expects `output_modalities`, nested `audio.{input,output}` blocks with MIME-type strings, and `session.type = "realtime"`. These wire-shape differences are why GA needs its own adapter — the beta `OpenAIRealtimeAdapter` cannot reach `gpt-realtime-2` reliably.
+</Note>
+
+## When to use
+
+| Use `OpenAIRealtime2` when… | Stick with `OpenAIRealtime` when… |
+|----------------------------|-----------------------------------|
+| You want `gpt-realtime-2` — strongest instruction following + 128K context + configurable `reasoningEffort`. | You're on `gpt-realtime-mini` for cost / latency reasons. |
+| You're hitting the GA endpoint and the beta channel is being deprecated for your account. | You don't need the GA wire shape and want to keep the existing adapter path. |
+| You want the bidirectional PCM 24 kHz transcoding handled by the SDK rather than the model silently dropping mulaw frames. | Your audio is already PCM 24 kHz end-to-end and beta works for you. |
+
+## Quickstart
+
+```typescript
+import { Patter, Twilio, OpenAIRealtime2 } from "getpatter";
+
+const phone = new Patter({
+  carrier: new Twilio(),                  // TWILIO_* from env
+  phoneNumber: "+15555550100",
+});
+
+const agent = phone.agent({
+  engine: new OpenAIRealtime2({ reasoningEffort: "low" }),
+  systemPrompt: "You are a friendly receptionist.",
+  firstMessage: "Hello! How can I help today?",
+});
+
+await phone.serve({ agent });
+```
+
+`reasoningEffort: "low"` is OpenAI's recommended production tier for live voice — it gives the best instruction following without measurable per-turn latency.
+
+## Constructor
+
+```typescript
+import { OpenAIRealtime2, type OpenAIRealtime2Options } from "getpatter";
+
+new OpenAIRealtime2({
+  apiKey?: string;                            // reads OPENAI_API_KEY
+  voice?: string;                             // default: "alloy"
+  model?: string;                             // default: "gpt-realtime-2"
+  reasoningEffort?: "minimal" | "low" | "medium" | "high";
+  inputAudioTranscriptionModel?: string;      // default: "whisper-1"
+});
+```
+
+All fields are optional with safe defaults. `apiKey` falls back to the `OPENAI_API_KEY` environment variable.
+
+### Reasoning effort
+
+| Value | When to use |
+|-------|-------------|
+| `"minimal"` | Snappy turn-taking. Skips most reasoning. |
+| `"low"` | **Recommended for production voice.** Good instruction following without measurable per-turn latency. |
+| `"medium"` | Multi-step tool flows where the model should plan. Adds latency. |
+| `"high"` | Complex reasoning. Not recommended for live phone calls. |
+
+When set, Patter injects `session.reasoning = { effort: ... }` into the GA `session.update` payload. When omitted, the field is not sent and OpenAI's server default applies.
+
+### Streaming transcription
+
+Set `inputAudioTranscriptionModel` to override `audio.input.transcription.model`. The same identifiers as the beta endpoint apply — see the [streaming-transcription table on the OpenAI Realtime page](/typescript-sdk/providers/openai-realtime#streaming-transcription) for the full list (`whisper-1`, `gpt-4o-mini-transcribe`, `gpt-4o-transcribe`, `gpt-realtime-whisper`).
+
+## Audio path
+
+The GA audio engine speaks PCM 24 kHz and silently drops mulaw frames. Patter handles the conversion transparently inside `OpenAIRealtime2Adapter`:
+
+- **Inbound** (Twilio/Telnyx → model): mulaw 8 kHz → PCM 24 kHz
+- **Outbound** (model → Twilio/Telnyx): PCM 24 kHz → mulaw 8 kHz
+
+No caller-side change is required — both Twilio Media Streams (mulaw 8 kHz) and Telnyx Call Control (PCM 16 kHz / mulaw 8 kHz) work out of the box.
+
+## Direct adapter use
+
+`OpenAIRealtime2Adapter` is exported and may be constructed directly when you need to share connection state across calls or override low-level fields. The constructor signature is **positional** (inherited from `OpenAIRealtimeAdapter`):
+
+```typescript
+import { OpenAIRealtime2Adapter } from "getpatter";
+
+const adapter = new OpenAIRealtime2Adapter(
+  process.env.OPENAI_API_KEY ?? "",   // apiKey
+  "gpt-realtime-2",                   // model
+  "nova",                             // voice
+  "You are a helpful assistant.",     // instructions
+  undefined,                          // tools
+  "g711_ulaw",                        // audioFormat — GA adapter emits PCM24
+                                      // internally regardless of this value,
+                                      // but the positional arg is required.
+  {
+    reasoningEffort: "low",
+    inputAudioTranscriptionModel: "gpt-realtime-whisper",
+  },
+);
+
+const agent = phone.agent({
+  engine: adapter,
+  systemPrompt: "...",
+  firstMessage: "...",
+});
+```
+
+The adapter extends `OpenAIRealtimeAdapter` and overrides `connect()`, `sendAudio()`, `receiveEvents()`, and `sendFirstMessage()` for the GA wire shape.
+
+### GA session config — `create_response: false` / `interrupt_response: false`
+
+The GA adapter unconditionally pins both flags in `session.update.turn_detection`. Patter owns response creation (`response.create`) and barge-in cancellation explicitly so the hallucination filter and barge-in pipeline can decide per turn rather than letting the server VAD auto-trigger. This is why the GA adapter is required — the legacy beta endpoint did not expose these knobs in the same shape.
+
+## Backward compatibility
+
+- Existing `new OpenAIRealtime({...})` callers are **unaffected**. The legacy engine continues to target the beta endpoint with `gpt-realtime-mini` as the default.
+- `OpenAIRealtime2` ships as an additive engine — no migration required. Pick it when you want the GA endpoint; otherwise stay where you are.
+- Pricing for `gpt-realtime-2` is auto-resolved per model from `DEFAULT_PRICING.openai_realtime.models["gpt-realtime-2"]` — see [Metrics](/typescript-sdk/metrics).
+
+## What's Next
+
+<CardGroup cols={2}>
+  <Card title="OpenAI Realtime (beta)" icon="bolt" href="/typescript-sdk/providers/openai-realtime">The legacy engine for `gpt-realtime-mini` and earlier preview models.</Card>
+  <Card title="Engines" icon="bolt" href="/typescript-sdk/engines">All engine classes side by side.</Card>
+  <Card title="Agents" icon="user-gear" href="/typescript-sdk/agents">Configure system prompts, tools, and first messages.</Card>
+  <Card title="Tools" icon="screwdriver-wrench" href="/typescript-sdk/tools">Function calling inside a Realtime session.</Card>
+</CardGroup>
diff --git a/docs/typescript-sdk/providers/openai-realtime.mdx b/docs/typescript-sdk/providers/openai-realtime.mdx
index 17e43b3a..8ce960f8 100644
--- a/docs/typescript-sdk/providers/openai-realtime.mdx
+++ b/docs/typescript-sdk/providers/openai-realtime.mdx
@@ -16,11 +16,11 @@ Pass any of these to `model:` on `new OpenAIRealtime(...)`. Pricing is auto-reso
 
 | Model | Audio in / out (per M tokens) | Notes |
 |-------|-------------------------------|-------|
-| `"gpt-realtime-mini"` (default) | $10 / $20 | Fastest + cheapest. Production default for most voice flows. |
+| `"gpt-4o-mini-realtime-preview"` (engine marker default) | $10 / $20 | Default when `new OpenAIRealtime()` is constructed without an explicit `model`. Earlier preview line. |
+| `"gpt-realtime-mini"` | $10 / $20 | GA mini — recommended cheap default for new deployments. Pass `model: "gpt-realtime-mini"` explicitly. |
 | `"gpt-realtime"` | $32 / $64 | GA realtime model (Aug 2025). |
-| `"gpt-realtime-2"` | $32 / $64 | Most-capable. Stronger instruction following, 128K context, supports `reasoningEffort`. |
+| `"gpt-realtime-2"` | $32 / $64 | Most-capable. Stronger instruction following, 128K context, supports `reasoningEffort`. Use the [`OpenAIRealtime2`](/typescript-sdk/providers/openai-realtime-2) engine for the GA wire shape. |
 | `"gpt-4o-realtime-preview"` | $100 / $200 | Earlier preview, retained for compatibility. |
-| `"gpt-4o-mini-realtime-preview"` | $10 / $20 | Earlier preview, retained for compatibility. |
 
 The same identifiers are exposed as a const object for editor autocomplete:
 
@@ -123,9 +123,10 @@ The `reasoningEffort` and `inputAudioTranscriptionModel` options live on `OpenAI
 
 ## Backward compatibility
 
-- Defaults are unchanged: `model: "gpt-realtime-mini"`, `inputAudioTranscriptionModel: "whisper-1"`, `reasoningEffort: undefined`.
+- Engine marker default: `model: "gpt-4o-mini-realtime-preview"` (unchanged since first release). The underlying `OpenAIRealtimeAdapter` falls back to `gpt-realtime-mini` only when constructed without a model — the `OpenAIRealtime` wrapper always passes a model through, so the wire default is `gpt-4o-mini-realtime-preview`. Pass `model: "gpt-realtime-mini"` explicitly to upgrade.
+- `inputAudioTranscriptionModel: "whisper-1"`, `reasoningEffort: undefined` (server default).
 - All existing `new OpenAIRealtime(...)` constructions keep working without code changes.
-- Pricing for new models is added under `DEFAULT_PRICING.openai_realtime.models[...]`. The earlier `new Patter({ pricing: { openai_realtime: DEFAULT_PRICING.openai_realtime_2 } })` workaround is no longer needed — just construct with `model: "gpt-realtime-2"`.
+- Pricing for new models is added under `DEFAULT_PRICING.openai_realtime.models[...]`. The earlier `new Patter({ pricing: { openai_realtime: DEFAULT_PRICING.openai_realtime_2 } })` workaround is no longer needed — just construct with `model: "gpt-realtime-2"` (or use the [`OpenAIRealtime2`](/typescript-sdk/providers/openai-realtime-2) engine for the GA wire shape).
 
 ## What's Next
 
diff --git a/docs/typescript-sdk/reference.mdx b/docs/typescript-sdk/reference.mdx
index 84e95a56..ffecf5b6 100644
--- a/docs/typescript-sdk/reference.mdx
+++ b/docs/typescript-sdk/reference.mdx
@@ -23,6 +23,7 @@ new Patter(options: PatterOptions)
 | `webhookUrl` | `string` | Conditional | Public hostname, no scheme. Required unless using `tunnel: true` in `serve()`. |
 | `tunnel` | `CloudflareTunnel \| StaticTunnel \| boolean` | No | Tunnel directive. `true` is shorthand for `new CloudflareTunnel()`. |
 | `pricing` | `Record<string, Partial<ProviderPricing>>` | No | Custom pricing overrides. |
+| `persist` | `boolean \| string` | No | Persist the dashboard's call history to disk. Defaults to ON since 0.6.2 — pass `persist: false` to disable. See [Configuration](/typescript-sdk/configuration#persistent-dashboard-history). |
 
 ### Instance Methods
 
@@ -68,7 +69,7 @@ class Telnyx {
 ## Engines
 
 ```typescript
-import { OpenAIRealtime, ElevenLabsConvAI } from "getpatter";
+import { OpenAIRealtime, OpenAIRealtime2, ElevenLabsConvAI } from "getpatter";
 ```
 
 ### OpenAIRealtime
@@ -79,10 +80,40 @@ class OpenAIRealtime {
   readonly apiKey: string;     // reads OPENAI_API_KEY when omitted
   readonly voice: string;      // default "alloy"
   readonly model: string;      // default "gpt-4o-mini-realtime-preview"
-  constructor(opts?: { apiKey?: string; voice?: string; model?: string });
+  readonly reasoningEffort?: "minimal" | "low" | "medium" | "high";
+  readonly inputAudioTranscriptionModel?: string;
+  constructor(opts?: {
+    apiKey?: string;
+    voice?: string;
+    model?: string;
+    reasoningEffort?: "minimal" | "low" | "medium" | "high";
+    inputAudioTranscriptionModel?: string;
+  });
 }
 ```
 
+### OpenAIRealtime2
+
+```typescript
+class OpenAIRealtime2 {
+  readonly kind: "openai_realtime_2";
+  readonly apiKey: string;     // reads OPENAI_API_KEY when omitted
+  readonly voice: string;      // default "alloy"
+  readonly model: string;      // default "gpt-realtime-2"
+  readonly reasoningEffort?: "minimal" | "low" | "medium" | "high";
+  readonly inputAudioTranscriptionModel?: string;
+  constructor(opts?: {
+    apiKey?: string;
+    voice?: string;
+    model?: string;
+    reasoningEffort?: "minimal" | "low" | "medium" | "high";
+    inputAudioTranscriptionModel?: string;
+  });
+}
+```
+
+Routes through `OpenAIRealtime2Adapter` and speaks the GA `session.update` wire shape (`output_modalities`, nested `audio.{input,output}`, `session.type = "realtime"`). GA session config pins `turn_detection.create_response: false` and `interrupt_response: false` so Patter owns response creation and barge-in cancellation. See [`OpenAIRealtime2`](/typescript-sdk/providers/openai-realtime-2).
+
 ### ElevenLabsConvAI
 
 ```typescript
@@ -184,7 +215,7 @@ class Guardrail {
 ```typescript
 interface AgentOptions {
   systemPrompt: string;
-  engine?: OpenAIRealtime | ElevenLabsConvAI;
+  engine?: OpenAIRealtime | OpenAIRealtime2 | ElevenLabsConvAI;
   stt?: STTProvider;
   llm?: LLMProvider;
   tts?: TTSProvider;
@@ -203,6 +234,7 @@ interface AgentOptions {
   bargeInThresholdMs?: number;
   aggressiveFirstFlush?: boolean;
   disablePhonePreamble?: boolean;
+  prewarmFirstMessage?: boolean;  // default false; pipeline mode only
   provider?: 'openai_realtime' | 'elevenlabs_convai' | 'pipeline';
 }
 ```
@@ -228,6 +260,7 @@ interface ServeOptions {
   dashboardToken?: string;
   dashboardDb?: string;
   dashboardPersist?: boolean;
+  manageWebhook?: boolean;  // default true; ignored when tunnel: true
 }
 ```
 
@@ -347,7 +380,8 @@ export {
   Twilio, Telnyx,
 
   // Engines
-  OpenAIRealtime, ElevenLabsConvAI,
+  OpenAIRealtime, OpenAIRealtime2, ElevenLabsConvAI,
+  OpenAIRealtimeAdapter, OpenAIRealtime2Adapter, ElevenLabsConvAIAdapter,
 
   // STT classes
   DeepgramSTT, WhisperSTT, CartesiaSTT, AssemblyAISTT, SonioxSTT,
diff --git a/docs/typescript-sdk/tts.mdx b/docs/typescript-sdk/tts.mdx
index 8c19f17e..d3567f94 100644
--- a/docs/typescript-sdk/tts.mdx
+++ b/docs/typescript-sdk/tts.mdx
@@ -69,7 +69,7 @@ const tts3 = new ElevenLabsTTS({ apiKey: "...", voiceId: "EXAVITQu4vr4xnSDxMaL",
 | Parameter | Type | Default | Description |
 |-----------|------|---------|-------------|
 | `apiKey` | `string` | — | API key — reads from `ELEVENLABS_API_KEY` if omitted. |
-| `voiceId` | `string` | `"EXAVITQu4vr4xnSDxMaL"` (Sarah) | ElevenLabs voice ID (or name). |
+| `voiceId` | `string` | `"21m00Tcm4TlvDq8ikWAM"` (Rachel) | ElevenLabs voice ID (or name). |
 | `modelId` | `ElevenLabsModel \| string` | `"eleven_flash_v2_5"` | Typed literal: `eleven_flash_v2_5` / `eleven_turbo_v2_5` / `eleven_v3` / `eleven_multilingual_v2` / `eleven_monolingual_v1`. |
 | `outputFormat` | `string` | `"pcm_16000"` | ElevenLabs output format. |
 

From 3194c8486b35715c480bbcd4645afbf24cf451c6 Mon Sep 17 00:00:00 2001
From: nicolotognoni <nicolo.tognoni1@gmail.com>
Date: Mon, 25 May 2026 11:45:49 +0200
Subject: [PATCH 11/11] fix(0.6.2): TS index re-exports + Realtime engine
 default model parity
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Two follow-ups surfaced by the 0.6.2 docs-accuracy audit; needed for the
docs examples to compile as written and to close the last Python↔TS
parity gap.

src/index.ts re-exports
- ``OpenAIRealtimeAudioFormat``, ``OpenAIRealtimeModel``,
  ``OpenAIRealtimeVADType``, ``OpenAITranscriptionModel``,
  ``OpenAIVoice`` from ``./providers/openai-realtime``
- ``ElevenLabsModel``, ``ElevenLabsOutputFormat`` from
  ``./providers/elevenlabs-tts``
- ``DeepgramModel`` from ``./providers/deepgram-stt``
- ``CartesiaTTSModel``, ``CartesiaTTSVoiceMode`` from
  ``./providers/cartesia-tts``
- ``RimeModel``, ``RimeAudioFormat`` from ``./providers/rime-tts``
- ``PricingUnit``, ``PRICING_VERSION``, ``PRICING_LAST_UPDATED`` +
  ``PricingUnitValue`` / ``ModelPricing`` types from ``./pricing``
  (``ProviderPricing`` was already exported earlier in the file)

Pre-fix the docs (``tts.mdx``, ``stt.mdx``, ``metrics.mdx``,
``providers/openai-realtime.mdx``, ``providers/elevenlabs-tts.mdx``)
showed ``import { OpenAIRealtimeModel, ... } from "getpatter"`` —
those examples now actually compile.

Engine default model
- ``engines/openai.ts`` ``Realtime.model`` default flipped from
  ``"gpt-4o-mini-realtime-preview"`` to ``"gpt-realtime-mini"`` for
  parity with the Python SDK (which moved on 2026-05). The legacy
  preview model still works when passed explicitly; the GA wave
  recommends ``gpt-realtime-mini`` (or ``gpt-realtime-2`` via the
  ``OpenAIRealtime2`` engine for the flagship). Docstring updated to
  reflect the bump rationale.

Lint clean, 1513 tests pass.
---
 libraries/typescript/src/engines/openai.ts |  8 ++++++--
 libraries/typescript/src/index.ts          | 18 ++++++++++++++++++
 2 files changed, 24 insertions(+), 2 deletions(-)

diff --git a/libraries/typescript/src/engines/openai.ts b/libraries/typescript/src/engines/openai.ts
index 60818931..a1f855e4 100644
--- a/libraries/typescript/src/engines/openai.ts
+++ b/libraries/typescript/src/engines/openai.ts
@@ -4,7 +4,11 @@
 export interface RealtimeOptions {
   /** API key. Falls back to OPENAI_API_KEY env var when omitted. */
   apiKey?: string;
-  /** Realtime model. Defaults to gpt-4o-mini-realtime-preview. */
+  /**
+   * Realtime model. Defaults to ``gpt-realtime-mini`` (bumped from the
+   * deprecated ``gpt-4o-mini-realtime-preview`` on 2026-05-25 for
+   * parity with the Python SDK and the GA Realtime API surface).
+   */
   model?: string;
   /** Voice preset. Defaults to alloy. */
   voice?: string;
@@ -57,7 +61,7 @@ export class Realtime {
       );
     }
     this.apiKey = key;
-    this.model = opts.model ?? "gpt-4o-mini-realtime-preview";
+    this.model = opts.model ?? "gpt-realtime-mini";
     this.voice = opts.voice ?? "alloy";
     this.reasoningEffort = opts.reasoningEffort;
     this.inputAudioTranscriptionModel = opts.inputAudioTranscriptionModel;
diff --git a/libraries/typescript/src/index.ts b/libraries/typescript/src/index.ts
index 4069c133..9cb30c24 100644
--- a/libraries/typescript/src/index.ts
+++ b/libraries/typescript/src/index.ts
@@ -109,6 +109,24 @@ export type { AssemblyAIModel, AssemblyAIEncoding } from "./providers/assemblyai
 export type { CartesiaEncoding } from "./providers/cartesia-stt";
 export type { LMNTAudioFormat, LMNTModel, LMNTSampleRate } from "./providers/lmnt-tts";
 
+// Provider-defined const enums + types. Re-exported here so user code
+// can ``import { OpenAIRealtimeModel, ElevenLabsModel, ... } from "getpatter"``
+// without reaching into ``getpatter/providers/*``. Mirrors the Python
+// SDK's top-level ``getpatter`` namespace.
+export {
+  OpenAIRealtimeAudioFormat,
+  OpenAIRealtimeModel,
+  OpenAIRealtimeVADType,
+  OpenAITranscriptionModel,
+  OpenAIVoice,
+} from "./providers/openai-realtime";
+export { ElevenLabsModel, ElevenLabsOutputFormat } from "./providers/elevenlabs-tts";
+export { DeepgramModel } from "./providers/deepgram-stt";
+export { CartesiaTTSModel, CartesiaTTSVoiceMode } from "./providers/cartesia-tts";
+export { RimeModel, RimeAudioFormat } from "./providers/rime-tts";
+export { PricingUnit, PRICING_VERSION, PRICING_LAST_UPDATED } from "./pricing";
+export type { PricingUnitValue, ModelPricing } from "./pricing";
+
 // New namespaced STT classes — options-object constructor with env fallback.
 export { STT as DeepgramSTT } from "./stt/deepgram";
 export type { DeepgramSTTOptions } from "./stt/deepgram";