From 8f540dbf36864e84ad178c1575b051ad56993c32 Mon Sep 17 00:00:00 2001
From: Amplifier <240397093+microsoft-amplifier@users.noreply.github.com>
Date: Thu, 27 Aug 2026 07:04:38 -0700
Subject: [PATCH] feat(hooks): flag-gated same-batch read coalescer
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Adds hooks-tool-dedupe, a new additive hook module that coalesces
byte-identical repeated read_file/load_skill results within a single
parallel tool batch of a single session. Ships default-OFF.

Measured basis (5 gpt-5.6 runs, yoc-dedup-spec.md Section 2): 1,196
same-batch duplicate read_file calls -- 37% of all reads, 87% of
duplicate tokens -- with content byte-identical in 100% of cases (0
divergences). Deduplicating just this class removes 16.4% of all input
tokens across the measured runs, with zero information loss, because
the first occurrence always carries the content and every duplicate's
marker is delivered in the same tool-result turn, adjacent to it.

Mechanism: a tool:post hook can already replace the result content the
LLM sees, via HookResult(action="modify", data={...,"result": <new
str>}) -- verified against loop-streaming's parallel
(_execute_tool_only) and sequential tool-execution paths, which detect
a hook-modified result by object identity (`is not result_data`).
hooks-tool-truncation (amplifier-bundle-attractor) is the existing,
exercised precedent for this exact shape.

Key properties, matching the spec's hard constraints:
- Detection is object identity: the hook always returns a new dict
  with a new str under "result", never mutates the input in place.
- The sequential tool-call path never carries a parallel_group_id, so
  it is never deduped -- no batch id, no dedupe, by construction. This
  is the entire safety invariant for the sequential path.
- State is one dict on the hook instance (parallel_group_id -> key ->
  holder entry), bounded by an insertion-ordered LRU (max_batches,
  default 8). No tree id, no cross-session storage, no cleanup path
  needed -- it dies with the session.
- Detection is exact sha256 comparison of content in hand, not a
  staleness heuristic: a same-key mismatch within a batch is delivered
  untouched and counted as dedupe:divergent (the canary for mid-batch
  file mutation).
- Skill-load dedupe is not a separate mechanism: "load_skill" is in the
  default tool allowlist, so it dedupes via the exact same code path.

Telemetry: dedupe:coalesced (one per marker emitted, carrying
tool_name, parallel_group_id, holder/duplicate call ids, target,
bytes_saved, sha256) and dedupe:divergent, both declared via
register_contributor("observability.events", ...) so the existing
session logging hooks auto-capture them -- no new instrumentation
needed. The spec's "re-read after marker" falsification metric
(Section 9) is computed externally, post-hoc, from dedupe:coalesced
joined against ordinary read_file tool:post events in the next turn;
it is intentionally NOT tracked as live in-hook state, because doing
so would require remembering marked keys across a turn boundary --
exactly the cross-turn state this module's scope excludes (spec
Section 6.2, rejected).

Wired via behaviors/agents.yaml (like tool-delegate) so every
sub-session in a delegation tree inherits it; bundle.md needs no
change. Config ships default-OFF (enabled: false) -- mounting this
hook has zero runtime effect until a caller opts in.

Tests: 25 new pure-function/hook-level tests in
modules/hooks-tool-dedupe/tests/test_batch_dedupe.py, covering the
spec's full test plan (Section 4.8) -- sequential-never-deduped,
first-read passthrough, second-read marked, new-object/str-result
identity checks, divergent-content passthrough, offset/limit key
normalisation and isolation, min_bytes/failed-result/unknown-tool/
malformed-input/missing-content passthroughs, load_skill dedupe,
concurrent-batch single-content-holder (pins the no-await invariant),
max_batches LRU eviction, disabled-is-total-noop, telemetry payload
shape, and mount() wiring (priority=5, observability.events
contributor, default-disabled).

Module suite: 25 passed. Repo suite: 1634 passed, 1 skipped.
python_check: clean (ruff-lint, ruff-format, pyright, stub-check).

🤖 Generated with [Amplifier](https://github.com/microsoft/amplifier)

Co-Authored-By: Amplifier <240397093+microsoft-amplifier@users.noreply.github.com>
---
 behaviors/agents.yaml                         |  15 +
 .../__init__.py                               | 354 ++++++++++++
 modules/hooks-tool-dedupe/pyproject.toml      |  16 +
 modules/hooks-tool-dedupe/tests/__init__.py   |   0
 .../tests/test_batch_dedupe.py                | 512 ++++++++++++++++++
 modules/hooks-tool-dedupe/uv.lock             | 299 ++++++++++
 6 files changed, 1196 insertions(+)
 create mode 100644 modules/hooks-tool-dedupe/amplifier_module_hooks_tool_dedupe/__init__.py
 create mode 100644 modules/hooks-tool-dedupe/pyproject.toml
 create mode 100644 modules/hooks-tool-dedupe/tests/__init__.py
 create mode 100644 modules/hooks-tool-dedupe/tests/test_batch_dedupe.py
 create mode 100644 modules/hooks-tool-dedupe/uv.lock

diff --git a/behaviors/agents.yaml b/behaviors/agents.yaml
index c4317874..2023b7a1 100644
--- a/behaviors/agents.yaml
+++ b/behaviors/agents.yaml
@@ -39,6 +39,21 @@ tools:
       skills:
         - "git+https://github.com/microsoft/amplifier-foundation@main#subdirectory=skills"
 
+hooks:
+  # Same-batch read/skill coalescer. Ships default-OFF (see config below):
+  # mounting this hook has zero runtime effect until a caller explicitly
+  # sets enabled: true. Wired via the `agents` behavior (like tool-delegate
+  # above) so every sub-session in a delegation tree inherits it, since a
+  # parallel tool batch -- the case this hook targets -- is always within
+  # one session.
+  - module: hooks-tool-dedupe
+    source: git+https://github.com/microsoft/amplifier-foundation@main#subdirectory=modules/hooks-tool-dedupe
+    config:
+      enabled: false                       # Stage 1 ships default-OFF
+      tools: ["read_file", "load_skill"]
+      min_bytes: 1000
+      max_batches: 8
+
 context:
   include:
     - foundation:context/agents/delegation-instructions.md
diff --git a/modules/hooks-tool-dedupe/amplifier_module_hooks_tool_dedupe/__init__.py b/modules/hooks-tool-dedupe/amplifier_module_hooks_tool_dedupe/__init__.py
new file mode 100644
index 00000000..10008180
--- /dev/null
+++ b/modules/hooks-tool-dedupe/amplifier_module_hooks_tool_dedupe/__init__.py
@@ -0,0 +1,354 @@
+"""Same-batch read coalescer.
+
+Deduplicates exact-key repeats of `read_file` (and, for free, `load_skill`)
+within a single parallel tool batch of a single session.
+
+Measured basis (5 gpt-5.6 runs, see the implementation spec): 1 196 same-batch
+duplicate `read_file` calls -- 37% of all reads, 87% of duplicate tokens --
+with byte-identical content in 100% of cases. Deduplicating just this class
+removed 16.4% of all input tokens across the measured runs, with zero
+information loss, because the duplicate's content is always delivered
+adjacent to the marker in the same tool-result turn.
+
+Mechanism (see `loop-streaming` parallel path, `_execute_tool_only`): a
+`tool:post` hook can replace the content the LLM sees by returning
+`HookResult(action="modify", data={..., "result": <new str>})`. Detection of
+"did a hook modify the result" is by object identity (`is not result_data`),
+so this hook MUST return a *new* dict with a *new* str under "result" --
+mutating `data` in place and returning it is a silent no-op. Returning a
+`str` (not a dict/list) avoids `json.dumps` wrapping the marker in JSON noise.
+
+The sequential tool-call path emits the same `tool:post` payload minus
+`parallel_group_id` (it is `None` there), which is exactly the discriminator
+this hook needs: no batch id => no batch => no dedupe. Sequential calls are
+therefore never deduped, by construction, not by a separate check.
+
+Scope, by design:
+    - Per-session, in-memory only. One dict on this hook instance,
+      `parallel_group_id -> key -> _Entry`, bounded by `max_batches` as an
+      insertion-ordered LRU. A hook instance is mounted once per session, so
+      this state dies with the session: no tree id, no cross-session state,
+      no cleanup path needed, no leak possible.
+    - Detection is exact-content-match, not a staleness heuristic: on a hit,
+      the newly observed content's sha256 is compared against the sha256
+      recorded for the first occurrence. A mismatch means the file changed
+      *within this batch* -- the second content is delivered untouched and
+      counted as `dedupe:divergent` (the invalidation story is "compare the
+      actual bytes in hand", not mtime or any other guess).
+    - Skill-load dedupe (`load_skill`) is not a separate mechanism. It is the
+      exact same hook with `load_skill` added to the `tools` allowlist by
+      default -- zero incremental code.
+
+Explicitly out of scope (see the spec's Sections 6.1/6.2 for the rejected
+alternatives and why): cross-session/cross-agent memos, cross-turn dedupe
+within one session, tree-scoped state, and mtime/staleness heuristics. None
+of those are implemented here, and none of this hook's state survives a
+turn boundary in a way that could support them.
+
+Config surface (all keys optional; ships default-OFF):
+
+    hooks:
+      - module: hooks-tool-dedupe
+        config:
+          enabled: false                       # Stage 1 ships default-OFF
+          tools: ["read_file", "load_skill"]
+          min_bytes: 1000
+          max_batches: 8
+
+Telemetry: `dedupe:coalesced` (one per marker emitted) and `dedupe:divergent`
+(one per same-key content mismatch within a batch -- should be ~0; a
+non-zero rate means a file is being mutated mid-batch). Both are declared via
+`register_contributor("observability.events", ...)` so they are
+auto-captured by the existing session logging hooks -- no new instrumentation
+is required to measure this feature.
+
+Note on the "re-read after marker" guardrail metric from the spec's DTU
+measurement plan (Section 9): that metric is computed *externally*, by a
+post-hoc scan of `events.jsonl` comparing `dedupe:coalesced` events in turn N
+against ordinary `read_file` `tool:post` events (already emitted by
+loop-streaming, independent of this hook) for the same key in turn N+1. It is
+NOT tracked as live state inside this hook, because doing so would require
+remembering marked keys across a turn boundary -- exactly the cross-turn
+state this module's scope explicitly excludes (see above). No code in this
+module computes it; `dedupe:coalesced`'s existing `target` field is
+sufficient for the external analysis to join against.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import json
+import logging
+from collections import OrderedDict
+from dataclasses import dataclass
+from typing import Any
+
+from amplifier_core import HookResult
+
+logger = logging.getLogger(__name__)
+
+__all__ = ["ToolDedupeHook", "mount"]
+
+#: Default tool allowlist. Adding "load_skill" here *is* the entirety of the
+#: skill-load dedupe mechanism -- no separate code path exists for it.
+DEFAULT_TOOLS: tuple[str, ...] = ("read_file", "load_skill")
+
+#: Below this many characters, the marker (~45 tokens) is not clearly
+#: cheaper than the payload it would replace.
+DEFAULT_MIN_BYTES = 1000
+
+#: Insertion-ordered LRU bound on retained batches, so a session with many
+#: parallel tool batches cannot grow this hook's state unboundedly.
+DEFAULT_MAX_BATCHES = 8
+
+#: read_file's own parameter defaults (amplifier-module-tool-filesystem
+#: read.py), normalised here so a bare `read(path)` and an explicit
+#: `read(path, offset=1, limit=2000)` collide onto the same dedupe key.
+READ_FILE_DEFAULT_OFFSET = 1
+READ_FILE_DEFAULT_LIMIT = 2000
+
+#: (tool_name, canonical_input_str)
+_Key = tuple[str, str]
+
+
+@dataclass
+class _Entry:
+    """The content-holding call for one dedupe key within one batch."""
+
+    tool_call_id: str
+    sha256_hex: str
+    content: str
+    n_lines: int
+
+
+def _build_key_and_target(tool_name: str, tool_input: Any) -> tuple[_Key, str] | None:
+    """Parse `tool_input` into a dedupe key plus a human-readable target.
+
+    `tool_input` may arrive as a dict (the common case) or a JSON string;
+    parsed defensively, returning None (=> pass through) on any shape this
+    hook doesn't understand rather than raising.
+
+    The key's second element folds in offset/limit for read_file (so
+    differing windows over the same file are distinct keys); `target` is
+    just the file path or skill name, used for telemetry and the marker
+    text, and is deliberately narrower than the key.
+    """
+    parsed = tool_input
+    if isinstance(parsed, str):
+        try:
+            parsed = json.loads(parsed)
+        except (json.JSONDecodeError, TypeError, ValueError):
+            return None
+    if not isinstance(parsed, dict):
+        return None
+
+    if tool_name == "read_file":
+        path = parsed.get("file_path")
+        if not isinstance(path, str) or not path:
+            return None
+        offset = parsed.get("offset")
+        limit = parsed.get("limit")
+        if offset is None:
+            offset = READ_FILE_DEFAULT_OFFSET
+        if limit is None:
+            limit = READ_FILE_DEFAULT_LIMIT
+        return (("read_file", f"{path}|{offset}|{limit}"), path)
+
+    if tool_name == "load_skill":
+        skill_name = parsed.get("skill_name")
+        if not isinstance(skill_name, str) or not skill_name:
+            return None
+        return (("load_skill", skill_name), skill_name)
+
+    return None
+
+
+class ToolDedupeHook:
+    """Coalesces byte-identical repeated tool results within one parallel
+    tool batch of one session. See module docstring for the full contract.
+    """
+
+    def __init__(
+        self,
+        hooks: Any,
+        enabled: bool = False,
+        tools: list[str] | tuple[str, ...] = DEFAULT_TOOLS,
+        min_bytes: int = DEFAULT_MIN_BYTES,
+        max_batches: int = DEFAULT_MAX_BATCHES,
+    ) -> None:
+        self.hooks = hooks
+        self.enabled = enabled
+        self.tools = set(tools)
+        self.min_bytes = min_bytes
+        self.max_batches = max_batches
+        # parallel_group_id -> key -> holder entry. Insertion-ordered so the
+        # oldest batch is evicted first once max_batches is exceeded.
+        self._batches: OrderedDict[str, dict[_Key, _Entry]] = OrderedDict()
+
+    async def handle_tool_post(self, event: str, data: dict[str, Any]) -> HookResult:
+        """`tool:post` handler. Returns `continue` on the first failing
+        guard; the guard order matches the spec (Section 4.4) exactly.
+        """
+        if not self.enabled:
+            return HookResult(action="continue")
+
+        pgid = data.get("parallel_group_id")
+        if not pgid:
+            # Sequential calls have no parallel_group_id -- never deduped.
+            # This single guard is the entire losslessness argument.
+            return HookResult(action="continue")
+
+        tool_name = data.get("tool_name")
+        if tool_name not in self.tools:
+            return HookResult(action="continue")
+
+        result = data.get("result")
+        if not isinstance(result, dict) or result.get("success") is not True:
+            return HookResult(action="continue")
+
+        output = result.get("output")
+        if not isinstance(output, dict):
+            return HookResult(action="continue")
+
+        content = output.get("content")
+        if not isinstance(content, str):
+            return HookResult(action="continue")
+
+        if len(content) < self.min_bytes:
+            return HookResult(action="continue")
+
+        parsed = _build_key_and_target(tool_name, data.get("tool_input"))
+        if parsed is None:
+            return HookResult(action="continue")
+        key, target = parsed
+
+        # --- Critical section: no `await` between lookup and store. The
+        # batch executes under asyncio.gather, so several handlers for one
+        # batch are interleaved on one event loop; this section must be
+        # atomic under that cooperative scheduling (spec Section 4.4). ---
+        batch = self._batches.get(pgid)
+        if batch is None:
+            batch = {}
+            self._batches[pgid] = batch
+            self._evict_oldest_batches()
+
+        digest = hashlib.sha256(
+            content.encode("utf-8", errors="surrogatepass")
+        ).hexdigest()
+        entry = batch.get(key)
+
+        if entry is None:
+            lines_read = output.get("lines_read")
+            n_lines = (
+                lines_read if isinstance(lines_read, int) else content.count("\n") + 1
+            )
+            batch[key] = _Entry(
+                tool_call_id=str(data.get("tool_call_id")),
+                sha256_hex=digest,
+                content=content,
+                n_lines=n_lines,
+            )
+            return HookResult(action="continue")
+        # --- End critical section. Everything below only reads `entry` and
+        # never mutates batch state, so it is safe across an `await`. ---
+
+        if digest != entry.sha256_hex:
+            await self.hooks.emit(
+                "dedupe:divergent",
+                {"tool_name": tool_name, "parallel_group_id": pgid, "target": target},
+            )
+            return HookResult(action="continue")
+
+        digest12 = digest[:12]
+        marker = (
+            f"[deduped] Identical to tool call {entry.tool_call_id} in this same "
+            f"parallel batch:\n{tool_name} {target} ({entry.n_lines} lines, "
+            f"sha256:{digest12}). That result is present in this turn \u2014 read it "
+            "there. Re-issue this call only if you need different lines "
+            "(offset/limit)."
+        )
+
+        await self.hooks.emit(
+            "dedupe:coalesced",
+            {
+                "tool_name": tool_name,
+                "parallel_group_id": pgid,
+                "holder_tool_call_id": entry.tool_call_id,
+                "duplicate_tool_call_id": data.get("tool_call_id"),
+                "target": target,
+                "bytes_saved": len(content),
+                "sha256": digest12,
+            },
+        )
+
+        # New dict, new str under "result": the object-identity check in
+        # loop-streaming (`returned_result is not result_data`) requires
+        # this. Mutating `data` in place would be a silent no-op.
+        modified_data = {**data, "result": marker, "full_output": result}
+        return HookResult(action="modify", data=modified_data)
+
+    def _evict_oldest_batches(self) -> None:
+        while len(self._batches) > self.max_batches:
+            self._batches.popitem(last=False)
+
+
+async def mount(
+    coordinator: Any, config: dict[str, Any] | None = None
+) -> dict[str, Any]:
+    """Mount the same-batch read/skill coalescer hook.
+
+    Ships default-OFF: `enabled` defaults to False, so merely composing this
+    module into a bundle (e.g. via the `agents` behavior, which every
+    sub-session in a delegation tree inherits) has zero runtime effect until
+    a caller explicitly opts in via config.
+
+    Args:
+        coordinator: The Amplifier coordinator instance.
+        config: Optional module configuration -- see module docstring for
+            the full `enabled` / `tools` / `min_bytes` / `max_batches`
+            config surface.
+
+    Returns:
+        A module descriptor dict (name/version/description/config), per the
+        convention used by other in-tree foundation hook modules.
+    """
+    config = config or {}
+
+    hook = ToolDedupeHook(
+        hooks=coordinator.hooks,
+        enabled=bool(config.get("enabled", False)),
+        tools=config.get("tools", list(DEFAULT_TOOLS)),
+        min_bytes=int(config.get("min_bytes", DEFAULT_MIN_BYTES)),
+        max_batches=int(config.get("max_batches", DEFAULT_MAX_BATCHES)),
+    )
+
+    # priority=5 is load-bearing: it must run *before* hooks-tool-truncation
+    # (priority=10, in amplifier-bundle-attractor), so truncation sees an
+    # already-short marker and no-ops, rather than dedupe hashing an
+    # already-truncated string.
+    coordinator.hooks.register(
+        "tool:post", hook.handle_tool_post, priority=5, name="hooks-tool-dedupe"
+    )
+
+    # Declare the events we emit so the session capture hooks (hooks-logging
+    # + hook-context-intelligence) auto-discover and record them via the
+    # observability.events contribution channel. Module-owned declaration --
+    # see core:docs/specs/CONTRIBUTION_CHANNELS.md; template: tool-delegate,
+    # hooks-deprecation.
+    coordinator.register_contributor(
+        "observability.events",
+        "hooks-tool-dedupe",
+        lambda: ["dedupe:coalesced", "dedupe:divergent"],
+    )
+
+    return {
+        "name": "hooks-tool-dedupe",
+        "version": "0.1.0",
+        "description": "Coalesces byte-identical repeated tool results within one parallel tool batch",
+        "config": {
+            "enabled": hook.enabled,
+            "tools": sorted(hook.tools),
+            "min_bytes": hook.min_bytes,
+            "max_batches": hook.max_batches,
+        },
+    }
diff --git a/modules/hooks-tool-dedupe/pyproject.toml b/modules/hooks-tool-dedupe/pyproject.toml
new file mode 100644
index 00000000..28950ee3
--- /dev/null
+++ b/modules/hooks-tool-dedupe/pyproject.toml
@@ -0,0 +1,16 @@
+[project]
+name = "amplifier-module-hooks-tool-dedupe"
+version = "0.1.0"
+description = "Coalesces byte-identical repeated tool results within one parallel tool batch"
+requires-python = ">=3.11"
+dependencies = ["amplifier-core>=1.0.10"]
+
+[project.entry-points."amplifier.modules"]
+hooks-tool-dedupe = "amplifier_module_hooks_tool_dedupe:mount"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["amplifier_module_hooks_tool_dedupe"]
diff --git a/modules/hooks-tool-dedupe/tests/__init__.py b/modules/hooks-tool-dedupe/tests/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/modules/hooks-tool-dedupe/tests/test_batch_dedupe.py b/modules/hooks-tool-dedupe/tests/test_batch_dedupe.py
new file mode 100644
index 00000000..d4435f0d
--- /dev/null
+++ b/modules/hooks-tool-dedupe/tests/test_batch_dedupe.py
@@ -0,0 +1,512 @@
+"""Tests for hooks-tool-dedupe: the same-batch read coalescer.
+
+Pure-function and hook-level tests only -- no session, no network, no
+provider. Mirrors the test plan in the implementation spec (yoc-dedup-spec.md
+Section 4.8) line for line: each test name below corresponds to one row of
+that table.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import hashlib
+import json
+from collections.abc import Callable
+from typing import Any
+
+import pytest
+from amplifier_module_hooks_tool_dedupe import (
+    DEFAULT_MAX_BATCHES,
+    DEFAULT_MIN_BYTES,
+    ToolDedupeHook,
+)
+
+
+class FakeHooks:
+    """Minimal stand-in for coordinator.hooks -- records emitted events."""
+
+    def __init__(self) -> None:
+        self.emitted: list[tuple[str, dict]] = []
+
+    async def emit(self, event: str, data: dict) -> None:
+        self.emitted.append((event, dict(data)))
+
+
+def make_hook(**overrides) -> tuple[ToolDedupeHook, FakeHooks]:
+    hooks = FakeHooks()
+    kwargs = {
+        "hooks": hooks,
+        "enabled": True,
+        "tools": ["read_file", "load_skill"],
+        "min_bytes": DEFAULT_MIN_BYTES,
+        "max_batches": DEFAULT_MAX_BATCHES,
+    }
+    kwargs.update(overrides)
+    return ToolDedupeHook(**kwargs), hooks
+
+
+def read_post_data(
+    *,
+    pgid: str | None = "batch-1",
+    tool_call_id: str = "call-1",
+    file_path: str = "/repo/module.py",
+    offset: int | None = None,
+    limit: int | None = None,
+    content: str | None = None,
+    success: bool = True,
+    tool_input: dict | str | None = None,
+) -> dict:
+    """Build a tool:post payload shaped like loop-streaming's real emission
+    (parallel path :3720-3729 / :1136-1141 in the verified source): {tool_name,
+    tool_call_id, tool_input, result, parallel_group_id}, where `result` is
+    `ToolResult.model_dump()` -- {"success", "output", "error"}.
+    """
+    body = content if content is not None else ("x" * DEFAULT_MIN_BYTES)
+    if tool_input is None:
+        tool_input = {"file_path": file_path}
+        if offset is not None:
+            tool_input["offset"] = offset
+        if limit is not None:
+            tool_input["limit"] = limit
+    return {
+        "tool_name": "read_file",
+        "tool_call_id": tool_call_id,
+        "tool_input": tool_input,
+        "result": {
+            "success": success,
+            "output": ({"file_path": file_path, "content": body} if success else None),
+            "error": None if success else {"message": "boom"},
+        },
+        "parallel_group_id": pgid,
+    }
+
+
+# ---------------------------------------------------------------------------
+# Core safety invariant
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.asyncio
+async def test_sequential_call_never_deduped():
+    """parallel_group_id=None => action == 'continue' even for a byte-identical
+    repeat. The core safety invariant: no batch id, no dedupe."""
+    hook, _ = make_hook()
+    data1 = read_post_data(pgid=None, tool_call_id="call-1")
+    data2 = read_post_data(pgid=None, tool_call_id="call-2")
+
+    res1 = await hook.handle_tool_post("tool:post", data1)
+    res2 = await hook.handle_tool_post("tool:post", data2)
+
+    assert res1.action == "continue"
+    assert res2.action == "continue"
+
+
+# ---------------------------------------------------------------------------
+# Basic coalescing behavior
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.asyncio
+async def test_first_read_passes_through():
+    """First call => continue; content untouched."""
+    hook, _ = make_hook()
+    data = read_post_data()
+    res = await hook.handle_tool_post("tool:post", data)
+    assert res.action == "continue"
+
+
+@pytest.mark.asyncio
+async def test_second_identical_read_in_batch_is_marked():
+    """Same pgid + same key + same content => action == 'modify',
+    data['result'] is a str containing '[deduped]' and the holder's id."""
+    hook, _ = make_hook()
+    first = read_post_data(tool_call_id="holder-1")
+    second = read_post_data(tool_call_id="dup-1")
+
+    res1 = await hook.handle_tool_post("tool:post", first)
+    res2 = await hook.handle_tool_post("tool:post", second)
+
+    assert res1.action == "continue"
+    assert res2.action == "modify"
+    assert res2.data is not None
+    assert isinstance(res2.data["result"], str)
+    assert "[deduped]" in res2.data["result"]
+    assert "holder-1" in res2.data["result"]
+
+
+@pytest.mark.asyncio
+async def test_returns_new_object_not_mutated_input():
+    """res.data is not original_data AND res.data['result'] is not
+    original_data['result']. Pins the object-identity constraint -- this is
+    the test that catches a silent no-op regression (spec Section 1.1)."""
+    hook, _ = make_hook()
+    first = read_post_data(tool_call_id="holder-1")
+    second = read_post_data(tool_call_id="dup-1")
+
+    await hook.handle_tool_post("tool:post", first)
+    res2 = await hook.handle_tool_post("tool:post", second)
+
+    assert res2.data is not None
+    assert res2.data is not second
+    assert res2.data["result"] is not second["result"]
+
+
+@pytest.mark.asyncio
+async def test_result_is_str_not_dict():
+    """isinstance(res.data['result'], str). A dict/list would get json.dumps'd
+    by loop-streaming, wrapping the marker in JSON noise (spec Section 1.1)."""
+    hook, _ = make_hook()
+    await hook.handle_tool_post("tool:post", read_post_data(tool_call_id="holder-1"))
+    res2 = await hook.handle_tool_post(
+        "tool:post", read_post_data(tool_call_id="dup-1")
+    )
+    assert res2.data is not None
+    assert isinstance(res2.data["result"], str)
+
+
+@pytest.mark.asyncio
+async def test_divergent_content_passes_through():
+    """Same key, different content => continue, and dedupe:divergent
+    emitted. The file changed between two reads inside one batch."""
+    hook, hooks = make_hook()
+    first = read_post_data(tool_call_id="call-1", content="a" * DEFAULT_MIN_BYTES)
+    second = read_post_data(tool_call_id="call-2", content="b" * DEFAULT_MIN_BYTES)
+
+    res1 = await hook.handle_tool_post("tool:post", first)
+    res2 = await hook.handle_tool_post("tool:post", second)
+
+    assert res1.action == "continue"
+    assert res2.action == "continue"
+    assert any(evt == "dedupe:divergent" for evt, _ in hooks.emitted)
+
+
+@pytest.mark.asyncio
+async def test_different_offset_not_deduped():
+    """(p,1,2000) vs (p,500,100) are distinct keys."""
+    hook, _ = make_hook()
+    first = read_post_data(offset=1, limit=2000, tool_call_id="call-1")
+    second = read_post_data(offset=500, limit=100, tool_call_id="call-2")
+
+    res1 = await hook.handle_tool_post("tool:post", first)
+    res2 = await hook.handle_tool_post("tool:post", second)
+
+    assert res1.action == "continue"
+    assert res2.action == "continue"
+
+
+@pytest.mark.asyncio
+async def test_offset_limit_defaults_normalised():
+    """read(p) and read(p, offset=1, limit=2000) collide -- both normalise to
+    the tool's own defaults (read.py:116-117)."""
+    hook, _ = make_hook()
+    bare = read_post_data(tool_call_id="call-1")  # no offset/limit given
+    explicit = read_post_data(offset=1, limit=2000, tool_call_id="call-2")
+
+    res1 = await hook.handle_tool_post("tool:post", bare)
+    res2 = await hook.handle_tool_post("tool:post", explicit)
+
+    assert res1.action == "continue"
+    assert res2.action == "modify"
+
+
+@pytest.mark.asyncio
+async def test_different_batches_isolated():
+    """Same key, different pgid => continue."""
+    hook, _ = make_hook()
+    first = read_post_data(pgid="batch-1", tool_call_id="call-1")
+    second = read_post_data(pgid="batch-2", tool_call_id="call-2")
+
+    res1 = await hook.handle_tool_post("tool:post", first)
+    res2 = await hook.handle_tool_post("tool:post", second)
+
+    assert res1.action == "continue"
+    assert res2.action == "continue"
+
+
+@pytest.mark.asyncio
+async def test_below_min_bytes_passes_through():
+    """200-byte content => continue (marker would cost more than it saves)."""
+    hook, _ = make_hook(min_bytes=1000)
+    first = read_post_data(content="x" * 200, tool_call_id="call-1")
+    second = read_post_data(content="x" * 200, tool_call_id="call-2")
+
+    res1 = await hook.handle_tool_post("tool:post", first)
+    res2 = await hook.handle_tool_post("tool:post", second)
+
+    assert res1.action == "continue"
+    assert res2.action == "continue"
+
+
+@pytest.mark.asyncio
+async def test_failed_result_passes_through():
+    """success=False => continue. An error is not a cacheable answer."""
+    hook, _ = make_hook()
+    first = read_post_data(success=False, tool_call_id="call-1")
+    second = read_post_data(success=False, tool_call_id="call-2")
+
+    res1 = await hook.handle_tool_post("tool:post", first)
+    res2 = await hook.handle_tool_post("tool:post", second)
+
+    assert res1.action == "continue"
+    assert res2.action == "continue"
+
+
+@pytest.mark.asyncio
+async def test_load_skill_deduped_same_batch():
+    """Mechanism (4) via the tool allowlist, no separate code path: adding
+    'load_skill' to `tools` is the entire skill-dedupe mechanism."""
+    hook, _ = make_hook()
+    body = "s" * DEFAULT_MIN_BYTES
+    first = {
+        "tool_name": "load_skill",
+        "tool_call_id": "call-1",
+        "tool_input": {"skill_name": "brainstorming"},
+        "result": {
+            "success": True,
+            "output": {"content": body, "skill_name": "brainstorming"},
+            "error": None,
+        },
+        "parallel_group_id": "batch-1",
+    }
+    second = dict(first, tool_call_id="call-2")
+
+    res1 = await hook.handle_tool_post("tool:post", first)
+    res2 = await hook.handle_tool_post("tool:post", second)
+
+    assert res1.action == "continue"
+    assert res2.action == "modify"
+    assert res2.data is not None
+    assert "brainstorming" in res2.data["result"]
+
+
+@pytest.mark.asyncio
+async def test_unknown_tool_passes_through():
+    """bash => continue. Not in the allowlist."""
+    hook, _ = make_hook()
+    data = {
+        "tool_name": "bash",
+        "tool_call_id": "call-1",
+        "tool_input": {"command": "ls"},
+        "result": {
+            "success": True,
+            "output": {"content": "x" * DEFAULT_MIN_BYTES},
+            "error": None,
+        },
+        "parallel_group_id": "batch-1",
+    }
+    res = await hook.handle_tool_post("tool:post", dict(data))
+    res2 = await hook.handle_tool_post("tool:post", dict(data, tool_call_id="call-2"))
+    assert res.action == "continue"
+    assert res2.action == "continue"
+
+
+@pytest.mark.asyncio
+async def test_malformed_tool_input_passes_through():
+    """tool_input an unparseable string => continue, no raise."""
+    hook, _ = make_hook()
+    data = read_post_data()
+    data["tool_input"] = "{not json"
+    res = await hook.handle_tool_post("tool:post", data)
+    assert res.action == "continue"
+
+
+@pytest.mark.asyncio
+async def test_missing_content_key_passes_through():
+    """Output dict without 'content' => continue."""
+    hook, _ = make_hook()
+    data = read_post_data()
+    data["result"]["output"] = {"file_path": "/repo/module.py"}
+    res = await hook.handle_tool_post("tool:post", data)
+    assert res.action == "continue"
+
+
+@pytest.mark.asyncio
+async def test_concurrent_batch_single_content_holder():
+    """4 handlers asyncio.gather'd on one key => exactly 1 continue, 3
+    modify. Pins the no-await-between-lookup-and-store invariant (spec
+    Section 4.4): the read-check-write critical section must be atomic
+    under asyncio's cooperative scheduling."""
+    hook, _ = make_hook()
+    calls = [read_post_data(tool_call_id=f"call-{i}") for i in range(4)]
+
+    results = await asyncio.gather(
+        *[hook.handle_tool_post("tool:post", c) for c in calls]
+    )
+
+    continues = [r for r in results if r.action == "continue"]
+    modifies = [r for r in results if r.action == "modify"]
+    assert len(continues) == 1
+    assert len(modifies) == 3
+
+
+@pytest.mark.asyncio
+async def test_max_batches_lru_eviction():
+    """9 batches with max_batches=8 => oldest evicted, no unbounded growth."""
+    hook, _ = make_hook(max_batches=8)
+    for i in range(9):
+        data = read_post_data(pgid=f"batch-{i}", tool_call_id=f"call-{i}")
+        await hook.handle_tool_post("tool:post", data)
+
+    assert len(hook._batches) == 8
+    assert "batch-0" not in hook._batches
+    assert "batch-8" in hook._batches
+
+
+@pytest.mark.asyncio
+async def test_disabled_is_total_noop():
+    """enabled: false => continue for every input above."""
+    hook, _ = make_hook(enabled=False)
+    first = read_post_data(tool_call_id="call-1")
+    second = read_post_data(tool_call_id="call-2")
+
+    res1 = await hook.handle_tool_post("tool:post", first)
+    res2 = await hook.handle_tool_post("tool:post", second)
+
+    assert res1.action == "continue"
+    assert res2.action == "continue"
+    assert hook._batches == {}
+
+
+# ---------------------------------------------------------------------------
+# Telemetry
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.asyncio
+async def test_coalesced_event_emitted_with_expected_fields():
+    """dedupe:coalesced carries tool_name, parallel_group_id, holder/duplicate
+    ids, target, bytes_saved, sha256 (spec Section 4.7)."""
+    hook, hooks = make_hook()
+    body = "x" * DEFAULT_MIN_BYTES
+    first = read_post_data(tool_call_id="holder-1", content=body)
+    second = read_post_data(tool_call_id="dup-1", content=body)
+
+    await hook.handle_tool_post("tool:post", first)
+    await hook.handle_tool_post("tool:post", second)
+
+    coalesced = [d for evt, d in hooks.emitted if evt == "dedupe:coalesced"]
+    assert len(coalesced) == 1
+    payload = coalesced[0]
+    assert payload["tool_name"] == "read_file"
+    assert payload["parallel_group_id"] == "batch-1"
+    assert payload["holder_tool_call_id"] == "holder-1"
+    assert payload["duplicate_tool_call_id"] == "dup-1"
+    assert payload["target"] == "/repo/module.py"
+    assert payload["bytes_saved"] == len(body)
+    assert payload["sha256"] == hashlib.sha256(body.encode()).hexdigest()[:12]
+
+
+@pytest.mark.asyncio
+async def test_divergent_event_emitted_with_expected_fields():
+    hook, hooks = make_hook()
+    first = read_post_data(tool_call_id="call-1", content="a" * DEFAULT_MIN_BYTES)
+    second = read_post_data(tool_call_id="call-2", content="b" * DEFAULT_MIN_BYTES)
+
+    await hook.handle_tool_post("tool:post", first)
+    await hook.handle_tool_post("tool:post", second)
+
+    divergent = [d for evt, d in hooks.emitted if evt == "dedupe:divergent"]
+    assert len(divergent) == 1
+    assert divergent[0]["tool_name"] == "read_file"
+    assert divergent[0]["parallel_group_id"] == "batch-1"
+    assert divergent[0]["target"] == "/repo/module.py"
+
+
+@pytest.mark.asyncio
+async def test_no_telemetry_emitted_when_disabled():
+    """A disabled hook must not touch coordinator.hooks.emit at all."""
+    hook, hooks = make_hook(enabled=False)
+    first = read_post_data(tool_call_id="call-1")
+    second = read_post_data(tool_call_id="call-2")
+    await hook.handle_tool_post("tool:post", first)
+    await hook.handle_tool_post("tool:post", second)
+    assert hooks.emitted == []
+
+
+# ---------------------------------------------------------------------------
+# mount() wiring
+# ---------------------------------------------------------------------------
+
+
+class FakeCoordinator:
+    def __init__(self) -> None:
+        self.hooks = FakeHooks()
+        self.registered: list[tuple[str, Any, int, str | None]] = []
+        self.contributors: list[tuple[str, str]] = []
+        self._contributor_callback: Callable[[], list[str]] | None = None
+
+        outer = self
+
+        class _Hooks(FakeHooks):
+            def register(self, event, handler, priority=0, name=None):
+                outer.registered.append((event, handler, priority, name))
+
+        self.hooks = _Hooks()
+
+    def register_contributor(self, channel, name, callback):
+        self.contributors.append((channel, name))
+        self._contributor_callback = callback
+
+
+@pytest.mark.asyncio
+async def test_mount_registers_tool_post_at_priority_5():
+    """priority=5 is load-bearing: must run before hooks-tool-truncation's
+    priority=10 (spec Section 4.3)."""
+    coordinator = FakeCoordinator()
+    result = await __import__("amplifier_module_hooks_tool_dedupe").mount(
+        coordinator, {"enabled": True}
+    )
+
+    assert len(coordinator.registered) == 1
+    event, _handler, priority, name = coordinator.registered[0]
+    assert event == "tool:post"
+    assert priority == 5
+    assert name == "hooks-tool-dedupe"
+    assert result["name"] == "hooks-tool-dedupe"
+
+
+@pytest.mark.asyncio
+async def test_mount_declares_observability_events():
+    coordinator = FakeCoordinator()
+    from amplifier_module_hooks_tool_dedupe import mount
+
+    await mount(coordinator, {"enabled": True})
+
+    assert len(coordinator.contributors) == 1
+    channel, name = coordinator.contributors[0]
+    assert channel == "observability.events"
+    assert name == "hooks-tool-dedupe"
+    assert coordinator._contributor_callback is not None
+    assert coordinator._contributor_callback() == [
+        "dedupe:coalesced",
+        "dedupe:divergent",
+    ]
+
+
+@pytest.mark.asyncio
+async def test_mount_defaults_to_disabled():
+    """Stage 1 ships default-OFF: mounting with no config must be a total
+    no-op at runtime."""
+    coordinator = FakeCoordinator()
+    from amplifier_module_hooks_tool_dedupe import mount
+
+    result = await mount(coordinator, None)
+    assert result["config"]["enabled"] is False
+
+    _, handler, _, _ = coordinator.registered[0]
+    first = read_post_data(tool_call_id="call-1")
+    second = read_post_data(tool_call_id="call-2")
+    res1 = await handler("tool:post", first)
+    res2 = await handler("tool:post", second)
+    assert res1.action == "continue"
+    assert res2.action == "continue"
+
+
+def test_tool_input_json_string_is_parsed():
+    """tool_input may arrive as a JSON string -- parse defensively."""
+    hook, _ = make_hook()
+    data = read_post_data(tool_call_id="call-1")
+    data["tool_input"] = json.dumps(data["tool_input"])
+    # Exercised via the async handler in an event loop.
+    result = asyncio.run(hook.handle_tool_post("tool:post", data))
+    assert result.action == "continue"
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new file mode 100644
index 00000000..927e2469
--- /dev/null
+++ b/modules/hooks-tool-dedupe/uv.lock
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