From b4da17a2232146d2074204490ac71e84770def30 Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Wed, 24 Jun 2026 12:08:59 -0600 Subject: [PATCH 01/15] Add A365 S2S exporter sample Add a self-contained sample under samples/a365_s2s/ demonstrating A365 telemetry export using the S2S (service-to-service) flow: - Custom a365_token_resolver mirroring the SDK FIC flow (app -> instance token exchange via MSAL) minus the agentic-user step, plus a365_use_s2s_endpoint=True. - Manual A365 scope classes (InvokeAgent/Inference/ExecuteTool), so the sample needs no LLM. - uv-managed project (pyproject.toml), .env via python-dotenv, and DEBUG logging so developers can see the export HTTP status and correlation id. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- samples/a365_s2s/.env.example | 20 + samples/a365_s2s/README.md | 78 ++ samples/a365_s2s/pyproject.toml | 15 + samples/a365_s2s/s2s_exporter.py | 417 ++++++++ samples/a365_s2s/uv.lock | 1708 ++++++++++++++++++++++++++++++ 5 files changed, 2238 insertions(+) create mode 100644 samples/a365_s2s/.env.example create mode 100644 samples/a365_s2s/README.md create mode 100644 samples/a365_s2s/pyproject.toml create mode 100644 samples/a365_s2s/s2s_exporter.py create mode 100644 samples/a365_s2s/uv.lock diff --git a/samples/a365_s2s/.env.example b/samples/a365_s2s/.env.example new file mode 100644 index 00000000..57d214a7 --- /dev/null +++ b/samples/a365_s2s/.env.example @@ -0,0 +1,20 @@ +# Copy this file to `.env` and fill in your values. + +# --- A365 exporter toggles --- +# Required for the A365 scope classes to emit spans. +ENABLE_OBSERVABILITY=true +# Set to true to send telemetry to the A365 endpoint. When false, spans are +# still created but not exported. The S2S credentials below are validated at +# startup regardless of this toggle. +ENABLE_A365_OBSERVABILITY_EXPORTER=true + +# --- S2S (service-to-service) credentials --- +# Blueprint app registration client credentials + agent app instance id. +CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID= +CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET= +CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID= +A365_AGENT_APP_INSTANCE_ID= + +# Agent ID that telemetry is exported for. Must match an onboarded agent so the +# A365 endpoint accepts the data. Falls back to A365_AGENT_APP_INSTANCE_ID if unset. +# A365_AGENT_ID= diff --git a/samples/a365_s2s/README.md b/samples/a365_s2s/README.md new file mode 100644 index 00000000..c47e3639 --- /dev/null +++ b/samples/a365_s2s/README.md @@ -0,0 +1,78 @@ +# A365 S2S Exporter Sample + +A self-contained sample showing how to export [Agent 365](https://learn.microsoft.com/en-us/microsoft-agent-365/) telemetry using the **S2S (service-to-service)** flow. + +In the S2S scenario a service authenticates **on its own behalf** using its app +registration credentials — there is **no agentic user**. Two things make this an +S2S sample: + +1. `a365_use_s2s_endpoint=True` — routes export to the S2S ingest path. +2. A custom `a365_token_resolver` that performs the MSAL app → instance token + exchange and acquires an *application* token for the A365 observability scope. + +The token resolver mirrors the SDK's FIC flow (`_create_fic_token_resolver` in +`src/microsoft/opentelemetry/a365/core/exporters/utils.py`), but **excludes** the +agentic-user step (`A365_AGENTIC_USER_ID` / `user_fic` grant). + +The telemetry is produced with the A365 scope classes (manual instrumentation), +so the sample needs no LLM. + +## Prerequisites + +- Python 3.10+ +- [uv](https://docs.astral.sh/uv/) +- To actually export: a Blueprint app registration granted the + `Agent365.Observability.OtelWrite` **application** permission (with admin + consent). See [`MIGRATION_A365.md`](../../MIGRATION_A365.md) → + "Troubleshooting — Permissions and Setup". + +## Setup + +Install dependencies into a project-managed virtual environment with +[uv](https://docs.astral.sh/uv/) (uv reads `pyproject.toml` and creates +`.venv` automatically): + +```bash +uv sync +``` + +Create your `.env` from the template and fill in your values (`.env` is +gitignored): + +```bash +cp .env.example .env +``` + +The S2S credentials are validated at startup, so all four +`CONNECTIONS__SERVICE_CONNECTION__SETTINGS__*` / `A365_AGENT_APP_INSTANCE_ID` +values must be set even when `ENABLE_A365_OBSERVABILITY_EXPORTER=false`. Set it +to `true` once you have real credentials to export to A365. + +## Run + +```bash +uv run python s2s_exporter.py +``` + +The sample enables DEBUG logging for the A365 exporter, so when +`ENABLE_A365_OBSERVABILITY_EXPORTER=true` you'll see the export result on +stderr, for example: + +``` +DEBUG ...agent365_exporter: HTTP 200 success on attempt 1. Correlation ID: . Response: {... "status":"sent" ...} +``` + +A non-2xx status (e.g. `HTTP 403`) is logged as an error with the same +correlation ID, which you can use when contacting support. + +## Environment variables + +| Variable | Description | +| --- | --- | +| `ENABLE_OBSERVABILITY` | Required (`true`) for the A365 scope classes to emit spans. | +| `ENABLE_A365_OBSERVABILITY_EXPORTER` | `true` to send telemetry to the A365 endpoint; `false` still creates spans but skips export. Credentials are required either way. | +| `CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID` | Blueprint app registration client ID. | +| `CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET` | Blueprint app registration client secret. | +| `CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID` | Entra tenant ID. Also used as the exported `AgentDetails.tenant_id`. | +| `A365_AGENT_APP_INSTANCE_ID` | Agent app instance ID used in the `fmi_path` exchange. Falls back to the exported agent ID when `A365_AGENT_ID` is unset. | +| `A365_AGENT_ID` | Optional. Agent ID telemetry is exported for; must match an onboarded agent. Defaults to `A365_AGENT_APP_INSTANCE_ID`. | diff --git a/samples/a365_s2s/pyproject.toml b/samples/a365_s2s/pyproject.toml new file mode 100644 index 00000000..a376f6ab --- /dev/null +++ b/samples/a365_s2s/pyproject.toml @@ -0,0 +1,15 @@ +[project] +name = "a365-s2s-sample" +version = "0.1.0" +description = "A365 S2S (service-to-service) exporter sample" +readme = "README.md" +requires-python = ">=3.10" +dependencies = [ + "microsoft-opentelemetry", + "msal", + "python-dotenv", +] + +[tool.uv] +# This is a runnable application, not a distributable package. +package = false diff --git a/samples/a365_s2s/s2s_exporter.py b/samples/a365_s2s/s2s_exporter.py new file mode 100644 index 00000000..30a3a84d --- /dev/null +++ b/samples/a365_s2s/s2s_exporter.py @@ -0,0 +1,417 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + +""" +Sample: A365 Exporter with S2S (Service-to-Service) authentication + +Demonstrates how to export A365 telemetry using the **S2S endpoint** with a +service-principal (app registration) token resolver. Unlike the AI-teammate +flow, the S2S scenario has **no agentic user** — a service authenticates on +its own behalf using its client credentials and exports telemetry for the +agents it operates. + +Two things make this an S2S sample: + 1. ``a365_use_s2s_endpoint=True`` — routes export to the S2S ingest path. + 2. A custom ``a365_token_resolver`` that performs the MSAL app -> instance + token exchange and acquires an *application* token for the A365 + observability scope. No user context is involved. + +The telemetry itself is produced with the A365 scope classes (manual +instrumentation), so the sample is self-contained and needs no LLM. + +The token resolver mirrors the SDK's FIC flow (``_create_fic_token_resolver`` +in ``a365/core/exporters/utils.py``): a two-step app -> instance token +exchange via MSAL, then an *application* token for the A365 observability +scope. The agentic-user step (``A365_AGENTIC_USER_ID`` / ``user_fic`` grant) +is intentionally excluded because this is the S2S scenario. + +Environment variables: + ENABLE_OBSERVABILITY=true Required to enable scope telemetry + ENABLE_A365_OBSERVABILITY_EXPORTER=true Enable A365 HTTP exporter + CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID= + CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET= + CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID= + A365_AGENT_APP_INSTANCE_ID= + A365_AGENT_ID= Optional; defaults to the instance ID + +The tenant ID and agent ID also populate ``AgentDetails`` and drive the export +URL, so they must match an onboarded agent for the endpoint to accept telemetry. + +The app registration must be granted the ``Agent365.Observability.OtelWrite`` +**application** permission (with admin consent). See MIGRATION_A365.md -> +"Troubleshooting — Permissions and Setup". +""" + +import logging +import os +import threading +import time +from typing import Optional + +from dotenv import load_dotenv + +from microsoft.opentelemetry import use_microsoft_opentelemetry +from microsoft.opentelemetry.a365.core import ( + AgentDetails, + BaggageBuilder, + ChatMessage, + ExecuteToolScope, + InferenceCallDetails, + InferenceOperationType, + InferenceScope, + InputMessages, + InvokeAgentScope, + InvokeAgentScopeDetails, + MessageRole, + OutputMessage, + OutputMessages, + Request, + ServiceEndpoint, + TextPart, + ToolCallDetails, + ToolType, +) + +# The A365 observability scope. For the S2S (app-only) client-credential flow, +# Azure AD requires the resource's ``/.default`` scope rather than a specific +# delegated scope like ``Agent365.Observability.OtelWrite`` (which is only valid +# in the FIC ``user_fic`` grant used by the AI-teammate flow). +A365_OBSERVABILITY_SCOPE = "api://9b975845-388f-4429-889e-eab1ef63949c/.default" + +# FIC token-flow environment variable names (mirrors the SDK constants). +A365_SERVICE_CLIENT_ID_ENV = "CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID" +A365_SERVICE_CLIENT_SECRET_ENV = "CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET" +A365_SERVICE_TENANT_ID_ENV = "CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID" +A365_AGENT_APP_INSTANCE_ID_ENV = "A365_AGENT_APP_INSTANCE_ID" + + +def _require_env(name: str) -> str: + """Read a required env var, rejecting empty or unfilled ``<...>`` placeholders.""" + value = os.environ.get(name, "").strip() + if not value or (value.startswith("<") and value.endswith(">")): + raise SystemExit( + f"Environment variable {name} is not set. Copy .env.example to .env " + "and fill in your value (see README.md)." + ) + return value + + +def build_s2s_token_resolver(): + """Build an S2S token resolver mirroring the SDK's FIC flow, minus the user. + + Performs the same two-step app -> instance token exchange via MSAL as + ``_create_fic_token_resolver``, then acquires an *application* token for the + A365 observability scope. The agentic-user step (``A365_AGENTIC_USER_ID`` / + ``user_fic`` grant) is excluded because the service authenticates on its own + behalf in the S2S scenario. + + Returns a ``(agent_id, tenant_id) -> token | None`` callable. Tokens are + cached per ``tenant:agent`` with a 60 s refresh buffer. + + Required environment variables: + - ``CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID`` + - ``CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET`` + - ``CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID`` + - ``A365_AGENT_APP_INSTANCE_ID`` + """ + try: + import msal + except ImportError: + raise SystemExit( + "msal is required for the S2S sample. Install dependencies with `uv sync`." + ) + + client_id = _require_env(A365_SERVICE_CLIENT_ID_ENV) + client_secret = _require_env(A365_SERVICE_CLIENT_SECRET_ENV) + tenant_id = _require_env(A365_SERVICE_TENANT_ID_ENV) + instance_id = _require_env(A365_AGENT_APP_INSTANCE_ID_ENV) + + authority = f"https://login.microsoftonline.com/{tenant_id}" + cache: dict[str, tuple[str, float]] = {} + lock = threading.Lock() + + def resolve(agent_id: str, request_tenant_id: str) -> Optional[str]: + # The resolver runs on the exporter's worker thread; guard the cache to + # keep token acquisition thread-safe. + cache_key = f"{request_tenant_id}:{agent_id}" + + with lock: + cached = cache.get(cache_key) + if cached is not None: + token, expires_at = cached + if time.time() < expires_at - 60: # 60 s buffer + return token + + try: + # Step 1: Agent application token via fmi_path. + app = msal.ConfidentialClientApplication( + client_id=client_id, + client_credential=client_secret, + authority=authority, + ) + result = app.acquire_token_for_client( + scopes=["api://AzureAdTokenExchange/.default"], + fmi_path=instance_id, + ) + if "access_token" not in result: + print(f"S2S step 1 (app token) failed: {result.get('error_description', result)}") + return None + agent_token = result["access_token"] + + # Step 2: Instance app authenticated with the agent token as a + # client assertion. (No agentic-user / user_fic step in S2S.) + # Pass the assertion as a no-arg callable (MSAL's recommended form) + # so it can be re-read on demand instead of as a static string. + instance_app = msal.ConfidentialClientApplication( + client_id=instance_id, + client_credential={"client_assertion": lambda: agent_token}, + authority=authority, + ) + + # Step 3: Application token for the A365 observability scope. + result = instance_app.acquire_token_for_client( + scopes=[A365_OBSERVABILITY_SCOPE], + ) + if "access_token" not in result: + print( + "S2S step 3 (observability token) failed: " + f"{result.get('error_description', result)}" + ) + return None + + access_token = result["access_token"] + expires_in = result.get("expires_in", 3600) + + with lock: + cache[cache_key] = (access_token, time.time() + expires_in) + return access_token + + except Exception as exc: # noqa: BLE001 - surface auth failures in sample + print(f"S2S token acquisition failed: {exc}") + return None + + return resolve + + +def _configure_export_logging() -> None: + """Surface the A365 exporter's logs so the developer can see the export result. + + The exporter logs the HTTP status and correlation id at DEBUG level, e.g. + ``HTTP 200 success on attempt 1. Correlation ID: . Response: ...`` on + success, or an error log on failure. Without this, those messages are + suppressed and the run looks identical whether or not export succeeded. + """ + handler = logging.StreamHandler() + handler.setFormatter(logging.Formatter("%(levelname)s %(name)s: %(message)s")) + exporter_logger = logging.getLogger( + "microsoft.opentelemetry.a365.core.exporters.agent365_exporter" + ) + exporter_logger.setLevel(logging.DEBUG) + exporter_logger.addHandler(handler) + + +def main(): + # Load configuration from a local .env file (see .env.example). Real + # environment variables take precedence over the .env file (dotenv default). + load_dotenv() + + # Show the A365 exporter's HTTP status / correlation id (DEBUG-level). + _configure_export_logging() + + # ------------------------------------------------------------------ # + # 1. Configure telemetry with the S2S endpoint + S2S token resolver + # ------------------------------------------------------------------ # + use_microsoft_opentelemetry( + enable_a365=True, + a365_use_s2s_endpoint=True, + a365_token_resolver=build_s2s_token_resolver(), + ) + print("Telemetry configured for S2S export.\n") + + # ------------------------------------------------------------------ # + # 2. Define the agent identity from the real values in the environment. + # In S2S there is no agentic user, so no UserDetails / CallerDetails. + # The tenant ID and agent ID drive the export URL, so they must match + # the onboarded agent for the A365 endpoint to accept the telemetry. + # ------------------------------------------------------------------ # + real_tenant_id = _require_env(A365_SERVICE_TENANT_ID_ENV) + # A365_AGENT_ID is optional; fall back to the (validated) instance ID. + agent_id_override = os.environ.get("A365_AGENT_ID", "").strip() + if agent_id_override.startswith("<") and agent_id_override.endswith(">"): + agent_id_override = "" + real_agent_id = agent_id_override or _require_env(A365_AGENT_APP_INSTANCE_ID_ENV) + + agent = AgentDetails( + agent_id=real_agent_id, + agent_name="Weather Agent", + agent_description="Answers weather-related questions", + tenant_id=real_tenant_id, + provider_name="openai", + ) + + # ------------------------------------------------------------------ # + # 3. Build per-request baggage (no user identity in S2S) + # ------------------------------------------------------------------ # + baggage = ( + BaggageBuilder() + .tenant_id(agent.tenant_id) + .agent_id(agent.agent_id) + .channel_name("service") + .session_id("session-s2s-123") + .conversation_id("conv-s2s-789") + ) + + with baggage.build(): + user_question = "What's the weather in Seattle?" + + request = Request( + content=user_question, + session_id="session-s2s-123", + conversation_id="conv-s2s-789", + ) + + # -------------------------------------------------------------- # + # 4. InvokeAgentScope — top-level agent invocation (no caller) + # -------------------------------------------------------------- # + with InvokeAgentScope.start( + request=request, + scope_details=InvokeAgentScopeDetails( + endpoint=ServiceEndpoint(hostname="weather-agent.contoso.com", port=443), + ), + agent_details=agent, + ) as invoke_scope: + + invoke_scope.record_input_messages( + InputMessages( + messages=[ + ChatMessage( + role=MessageRole.USER, + parts=[TextPart(content=user_question)], + ), + ] + ) + ) + + # ---------------------------------------------------------- # + # 5. InferenceScope — LLM call to decide on tool use + # ---------------------------------------------------------- # + with InferenceScope.start( + request=Request(content=user_question), + details=InferenceCallDetails( + operationName=InferenceOperationType.CHAT, + model="gpt-4o", + providerName="openai", + endpoint=ServiceEndpoint(hostname="api.openai.com", port=443), + ), + agent_details=agent, + ) as inference_scope: + + inference_scope.record_input_messages( + InputMessages( + messages=[ + ChatMessage( + role=MessageRole.SYSTEM, + parts=[TextPart(content="You are a helpful weather assistant.")], + ), + ChatMessage( + role=MessageRole.USER, + parts=[TextPart(content=user_question)], + ), + ] + ) + ) + + time.sleep(0.05) + + inference_scope.record_input_tokens(45) + inference_scope.record_output_tokens(12) + inference_scope.record_finish_reasons(["tool_call"]) + inference_scope.record_output_messages( + OutputMessages( + messages=[ + OutputMessage( + role=MessageRole.ASSISTANT, + parts=[TextPart(content="I'll look up the weather for Seattle.")], + finish_reason="tool_call", + ), + ] + ) + ) + + # ---------------------------------------------------------- # + # 6. ExecuteToolScope — call the weather tool + # ---------------------------------------------------------- # + with ExecuteToolScope.start( + request=Request(content=user_question), + details=ToolCallDetails( + tool_name="get_weather", + arguments={"city": "Seattle", "units": "fahrenheit"}, + tool_call_id="call_abc123", + description="Fetches current weather for a city", + tool_type=ToolType.FUNCTION.value, + endpoint=ServiceEndpoint(hostname="weather-api.contoso.com"), + ), + agent_details=agent, + ) as tool_scope: + + time.sleep(0.02) + tool_result = '{"temperature": 62, "condition": "Partly cloudy"}' + tool_scope.record_response(tool_result) + + # ---------------------------------------------------------- # + # 7. Second InferenceScope — generate the final answer + # ---------------------------------------------------------- # + with InferenceScope.start( + request=Request(content=user_question), + details=InferenceCallDetails( + operationName=InferenceOperationType.CHAT, + model="gpt-4o", + providerName="openai", + inputTokens=80, + outputTokens=25, + finishReasons=["stop"], + endpoint=ServiceEndpoint(hostname="api.openai.com", port=443), + ), + agent_details=agent, + ) as inference_scope_2: + + time.sleep(0.05) + + final_answer = "It's currently 62°F and partly cloudy in Seattle." + + inference_scope_2.record_output_messages( + OutputMessages( + messages=[ + OutputMessage( + role=MessageRole.ASSISTANT, + parts=[TextPart(content=final_answer)], + finish_reason="stop", + ), + ] + ) + ) + + # ---------------------------------------------------------- # + # 8. Record the final response on the top-level scope + # ---------------------------------------------------------- # + invoke_scope.record_output_messages( + OutputMessages( + messages=[ + OutputMessage( + role=MessageRole.ASSISTANT, + parts=[TextPart(content=final_answer)], + finish_reason="stop", + ), + ] + ) + ) + + print( + "\nDone. All spans have been recorded. They are flushed to the A365 " + "batch span processor and exported on shutdown when " + "ENABLE_A365_OBSERVABILITY_EXPORTER=true." + ) + + +if __name__ == "__main__": + main() diff --git a/samples/a365_s2s/uv.lock b/samples/a365_s2s/uv.lock new file mode 100644 index 00000000..79a89280 --- /dev/null +++ b/samples/a365_s2s/uv.lock @@ -0,0 +1,1708 @@ +version = 1 +revision = 3 +requires-python = ">=3.10" + +[[package]] +name = "a365-s2s-sample" +version = "0.1.0" +source = { virtual = "." } +dependencies = [ + { name = "microsoft-opentelemetry" }, + { name = "msal" }, + { name = "python-dotenv" }, +] + +[package.metadata] +requires-dist = [ + { name = "microsoft-opentelemetry" }, + { name = "msal" }, + { name = "python-dotenv" }, +] + +[[package]] +name = "aiohappyeyeballs" +version = "2.6.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = 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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 516a9ff0-9d67-4aae-87af-e7e6395a66e1 --- README.md | 1 + samples/{a365_s2s => a365/s2s}/.env.example | 0 samples/{a365_s2s => a365/s2s}/README.md | 2 +- samples/{a365_s2s => a365/s2s}/pyproject.toml | 0 .../{a365_s2s => a365/s2s}/s2s_exporter.py | 33 +++++++++++++++---- samples/{a365_s2s => a365/s2s}/uv.lock | 0 6 files changed, 28 insertions(+), 8 deletions(-) rename samples/{a365_s2s => a365/s2s}/.env.example (100%) rename samples/{a365_s2s => a365/s2s}/README.md (97%) rename samples/{a365_s2s => a365/s2s}/pyproject.toml (100%) rename samples/{a365_s2s => a365/s2s}/s2s_exporter.py (92%) rename samples/{a365_s2s => a365/s2s}/uv.lock (100%) diff --git a/README.md b/README.md index 0397deb9..d86e7c2f 100644 --- a/README.md +++ b/README.md @@ -281,6 +281,7 @@ remain enabled by default. |---|---|---| | [samples/a365/exporter.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/exporter.py) | A365 | LangChain with A365 auto-instrumentation | | [samples/a365/manual_telemetry.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/manual_telemetry.py) | A365 | Manual instrumentation using all scope classes | +| [samples/a365/s2s/s2s_exporter.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/s2s/s2s_exporter.py) | A365 | S2S (service-to-service) export with an app-only token resolver | | [samples/distro/tracing.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/distro/tracing.py) | Azure Monitor | Basic tracing | | [samples/distro/metrics.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/distro/metrics.py) | Azure Monitor | Metrics collection | | [samples/distro/logging_sample.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/distro/logging_sample.py) | Azure Monitor | Log export | diff --git a/samples/a365_s2s/.env.example b/samples/a365/s2s/.env.example similarity index 100% rename from samples/a365_s2s/.env.example rename to samples/a365/s2s/.env.example diff --git a/samples/a365_s2s/README.md b/samples/a365/s2s/README.md similarity index 97% rename from samples/a365_s2s/README.md rename to samples/a365/s2s/README.md index c47e3639..1f60398a 100644 --- a/samples/a365_s2s/README.md +++ b/samples/a365/s2s/README.md @@ -23,7 +23,7 @@ so the sample needs no LLM. - [uv](https://docs.astral.sh/uv/) - To actually export: a Blueprint app registration granted the `Agent365.Observability.OtelWrite` **application** permission (with admin - consent). See [`MIGRATION_A365.md`](../../MIGRATION_A365.md) → + consent). See [`MIGRATION_A365.md`](../../../MIGRATION_A365.md) → "Troubleshooting — Permissions and Setup". ## Setup diff --git a/samples/a365_s2s/pyproject.toml b/samples/a365/s2s/pyproject.toml similarity index 100% rename from samples/a365_s2s/pyproject.toml rename to samples/a365/s2s/pyproject.toml diff --git a/samples/a365_s2s/s2s_exporter.py b/samples/a365/s2s/s2s_exporter.py similarity index 92% rename from samples/a365_s2s/s2s_exporter.py rename to samples/a365/s2s/s2s_exporter.py index 30a3a84d..4e0d0e19 100644 --- a/samples/a365_s2s/s2s_exporter.py +++ b/samples/a365/s2s/s2s_exporter.py @@ -116,17 +116,16 @@ def build_s2s_token_resolver(): """ try: import msal - except ImportError: + except ImportError as exc: raise SystemExit( "msal is required for the S2S sample. Install dependencies with `uv sync`." - ) + ) from exc client_id = _require_env(A365_SERVICE_CLIENT_ID_ENV) client_secret = _require_env(A365_SERVICE_CLIENT_SECRET_ENV) - tenant_id = _require_env(A365_SERVICE_TENANT_ID_ENV) + configured_tenant_id = _require_env(A365_SERVICE_TENANT_ID_ENV) instance_id = _require_env(A365_AGENT_APP_INSTANCE_ID_ENV) - authority = f"https://login.microsoftonline.com/{tenant_id}" cache: dict[str, tuple[str, float]] = {} lock = threading.Lock() @@ -135,6 +134,18 @@ def resolve(agent_id: str, request_tenant_id: str) -> Optional[str]: # keep token acquisition thread-safe. cache_key = f"{request_tenant_id}:{agent_id}" + # Authenticate against the tenant the telemetry is being exported for, so + # the token audience matches the cache key. Fail fast if the request's + # tenant diverges from the configured credentials, since acquiring a token + # for a different tenant than we cache under yields confusing failures. + if request_tenant_id != configured_tenant_id: + print( + f"S2S token acquisition failed: request tenant {request_tenant_id!r} " + f"does not match configured tenant {configured_tenant_id!r}." + ) + return None + authority = f"https://login.microsoftonline.com/{request_tenant_id}" + with lock: cached = cache.get(cache_key) if cached is not None: @@ -186,7 +197,7 @@ def resolve(agent_id: str, request_tenant_id: str) -> Optional[str]: cache[cache_key] = (access_token, time.time() + expires_in) return access_token - except Exception as exc: # noqa: BLE001 - surface auth failures in sample + except Exception as exc: # noqa: BLE001 - surface auth failures in sample # pylint: disable=broad-exception-caught print(f"S2S token acquisition failed: {exc}") return None @@ -201,12 +212,20 @@ def _configure_export_logging() -> None: success, or an error log on failure. Without this, those messages are suppressed and the run looks identical whether or not export succeeded. """ - handler = logging.StreamHandler() - handler.setFormatter(logging.Formatter("%(levelname)s %(name)s: %(message)s")) exporter_logger = logging.getLogger( "microsoft.opentelemetry.a365.core.exporters.agent365_exporter" ) exporter_logger.setLevel(logging.DEBUG) + # Disable propagation so records aren't also emitted via the root logger, + # and only attach our handler once so repeated runs in the same process + # (interactive sessions / test harnesses) don't duplicate log output. + exporter_logger.propagate = False + handler_name = "a365-s2s-sample-export-logging" + if any(getattr(h, "name", None) == handler_name for h in exporter_logger.handlers): + return + handler = logging.StreamHandler() + handler.name = handler_name + handler.setFormatter(logging.Formatter("%(levelname)s %(name)s: %(message)s")) exporter_logger.addHandler(handler) diff --git a/samples/a365_s2s/uv.lock b/samples/a365/s2s/uv.lock similarity index 100% rename from samples/a365_s2s/uv.lock rename to samples/a365/s2s/uv.lock From 906b7fca7833f18a71a74c91edb0f2e0b8bcd9cd Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Thu, 9 Jul 2026 15:13:12 -0600 Subject: [PATCH 03/15] Fix broad-exception pylint pragma placement for pinned pylint The inline pragma was not recognized by the CI-pinned pylint (3.2.7) because it followed the vestigial ruff noqa in the same comment. Ruff is not configured in this repo, so drop the noqa and lead the comment with the pylint disable pragma. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 516a9ff0-9d67-4aae-87af-e7e6395a66e1 --- samples/a365/s2s/s2s_exporter.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/samples/a365/s2s/s2s_exporter.py b/samples/a365/s2s/s2s_exporter.py index 4e0d0e19..bdaf124c 100644 --- a/samples/a365/s2s/s2s_exporter.py +++ b/samples/a365/s2s/s2s_exporter.py @@ -197,7 +197,7 @@ def resolve(agent_id: str, request_tenant_id: str) -> Optional[str]: cache[cache_key] = (access_token, time.time() + expires_in) return access_token - except Exception as exc: # noqa: BLE001 - surface auth failures in sample # pylint: disable=broad-exception-caught + except Exception as exc: # pylint: disable=broad-exception-caught print(f"S2S token acquisition failed: {exc}") return None From a120b057770982c1788dc727e1106258f0af464a Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Thu, 9 Jul 2026 16:09:00 -0600 Subject: [PATCH 04/15] Cap openai<2.45.0 to fix openai-agents integration test failures openai 2.45.0 made InputTokensDetails.cache_write_tokens a required field. openai-agents (pulled transitively via the agent-framework and openai-agents extras) still constructs InputTokensDetails(cached_tokens=0) in agents/usage.py, which now raises pydantic ValidationError and breaks the tests/a365/integration/openai suite. Constrain openai to >=2.36.0,<2.45.0 in both extras. This satisfies openai-agents 0.18.0 (openai<3,>=2.36.0) and agent-framework-openai 1.10.0 (openai<3,>=1.99.0), resolving to openai 2.44.0. Verified that InputTokensDetails(cached_tokens=0) succeeds on 2.44.0 and fails on 2.45.0. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 516a9ff0-9d67-4aae-87af-e7e6395a66e1 --- pyproject.toml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index 7fd8ae1a..d40babd1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -53,9 +53,16 @@ langchain = [ ] agent-framework = [ "agent-framework>=1.4.0", + # openai 2.45.0 made InputTokensDetails.cache_write_tokens a required field, + # which breaks openai-agents (pulled transitively by agent-framework) since it + # constructs InputTokensDetails(cached_tokens=0). Cap until openai-agents adds it. + "openai>=2.36.0,<2.45.0", ] openai-agents = [ "openai-agents>=0.0.7", + # See note above: openai 2.45.0's required cache_write_tokens field breaks + # openai-agents' InputTokensDetails(cached_tokens=0) construction. + "openai>=2.36.0,<2.45.0", ] hosting = [ "microsoft-agents-activity>=0.9.0", From d6e627e4e182069ef4b9d001adfb294a0a9e572f Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Fri, 25 Sep 2026 13:45:37 -0600 Subject: [PATCH 05/15] Document A365 S2S store validation design Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- ...-09-25-a365-s2s-store-validation-design.md | 138 ++++++++++++++++++ 1 file changed, 138 insertions(+) create mode 100644 docs/superpowers/specs/2026-09-25-a365-s2s-store-validation-design.md diff --git a/docs/superpowers/specs/2026-09-25-a365-s2s-store-validation-design.md b/docs/superpowers/specs/2026-09-25-a365-s2s-store-validation-design.md new file mode 100644 index 00000000..4b54f3fc --- /dev/null +++ b/docs/superpowers/specs/2026-09-25-a365-s2s-store-validation-design.md @@ -0,0 +1,138 @@ +# A365 S2S Store Validation Sample Design + +## Goal + +Modernize PR #217 so its service-to-service (S2S) sample works against the +current `main` branch, demonstrates every current Agent 365 observability +scope, satisfies the Microsoft Learn Store-publishing telemetry checklist, and +resolves all outstanding review feedback. + +The Store contract is the **Validate for store publishing** section of: + + + +For S2S agents, `microsoft.agent.user.id` and +`microsoft.agent.user.email` are not required because the export flow has no +agentic user. + +## Branch Integration + +Merge `origin/main` into `nikhilc/add-a365-s2s-sample`. Resolve the existing +`README.md` and `pyproject.toml` conflicts by preserving current `main` and +reapplying only the S2S sample changes that are still needed. + +The old OpenAI dependency cap is unrelated to the sample and must not be +reintroduced. Current dependency metadata and the root `uv.lock` remain owned +by `main`. + +## Review Feedback + +Remove the sample-local files called out in review: + +- `samples/a365/s2s/.env.example` +- `samples/a365/s2s/pyproject.toml` +- `samples/a365/s2s/uv.lock` + +Keep the sample under `samples/a365/s2s/`, as requested and already addressed. +Preserve the previously implemented fixes for tenant consistency, token-cache +identity, and duplicate exporter log handlers. + +Move all setup instructions into `samples/a365/s2s/README.md`. The documented +run path uses the repository environment and an ephemeral MSAL dependency, for +example `uv run --with msal python samples/a365/s2s/s2s_exporter.py`. Required +environment variables are set in the shell rather than loaded from a local +`.env` file. + +## Sample Behavior + +The sample remains self-contained and does not call a real LLM or tool. It +uses realistic simulated operations while exporting real OpenTelemetry spans +when configured with valid S2S credentials. + +It demonstrates these public scopes: + +1. `InvokeAgentScope` as the root agent invocation. +2. `ApplyGuardrailScope` as a child evaluation before model inference. +3. `InferenceScope` for model input, output, provider, model, token usage, and + finish reasons. +4. `ExecuteToolScope` for tool arguments, identity, and result. +5. `OutputScope` for the final response, using the invoke-agent context as its + parent to demonstrate the asynchronous-output pattern. + +The invoke-agent scope also records the final response directly so its required +`gen_ai.output.messages` attribute is present. + +## Identity and Required Attributes + +The sample requires real deployment values for: + +- Blueprint application client ID and secret used by the S2S token exchange. +- Tenant ID. +- Agent app instance ID. +- Published agent ID. +- Agent blueprint ID. +- Human caller ID, email, and client IP for the represented request. + +The sample uses explicit, non-secret values for the weather-agent name, +description, version, service endpoint, channel, conversation, session, model, +provider, tool, and guardrail metadata. The README explains which illustrative +values must be replaced by an integrating application. + +`AgentDetails`, `UserDetails`, `Request`, `CallerDetails`, and +`BaggageBuilder` carry the shared identity and context. The baggage scope +propagates the Store-required attributes to child scopes without duplicating +per-scope setup. + +The required Store attributes covered are: + +- Invoke agent: agent blueprint/ID/name, caller client address and user + identity, channel, conversation, input/output messages, operation name, + server address/port, and tenant. +- Inference: shared identity/context plus input/output messages, provider, + request model, and operation name. +- Execute tool: shared identity/context plus arguments, call ID, result, tool + name/type, and operation name. +- Output: shared identity/context plus output messages and operation name. + +Agent-user ID and email are intentionally absent for the S2S scenario. + +## Configuration and Errors + +Required environment variables are validated before telemetry configuration. +Blank values and angle-bracket placeholders fail with a clear message naming +the missing variable and pointing to the README. + +The token resolver: + +- Uses the requested tenant as the MSAL authority. +- Rejects a requested tenant that differs from the configured credential + tenant. +- Caches tokens by tenant and agent with a refresh buffer. +- Returns `None` with an actionable error when MSAL acquisition fails. + +Exporter debug logging remains scoped to the A365 exporter, does not propagate +to the root logger, and installs only one named handler. + +## Validation + +Add a focused automated test that executes the sample telemetry path with +export disabled and captures spans in memory. It asserts: + +- All five scope operation names are emitted. +- Invoke-agent, inference, execute-tool, and output spans contain the required + Microsoft Learn Store attributes, except the documented S2S agent-user + exemption. +- The guardrail span contains its target, decision, guardian identity, and + finding event. +- The token resolver's existing tenant mismatch and cache behavior remain + covered by direct unit-level checks where practical. + +Run the smallest relevant test selection plus repository formatting, linting, +and type checks that cover the changed sample and test. + +## Non-Goals + +- Refactoring the existing `samples/a365/manual_telemetry.py`. +- Adding a reusable production token-provider library. +- Changing the A365 scope APIs or exporter behavior. +- Changing package publishing metadata or unrelated dependency constraints. From ed4e0b3a471235595d2d7e006735772eccb04946 Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Fri, 25 Sep 2026 13:49:51 -0600 Subject: [PATCH 06/15] Plan A365 S2S store validation update Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../2026-09-25-a365-s2s-store-validation.md | 881 ++++++++++++++++++ 1 file changed, 881 insertions(+) create mode 100644 docs/superpowers/plans/2026-09-25-a365-s2s-store-validation.md diff --git a/docs/superpowers/plans/2026-09-25-a365-s2s-store-validation.md b/docs/superpowers/plans/2026-09-25-a365-s2s-store-validation.md new file mode 100644 index 00000000..7720cd04 --- /dev/null +++ b/docs/superpowers/plans/2026-09-25-a365-s2s-store-validation.md @@ -0,0 +1,881 @@ +# A365 S2S Store Validation Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Update PR #217 so the A365 S2S sample is current with `main`, demonstrates all public observability scopes, and proves the Microsoft Learn Store-required telemetry attributes are emitted. + +**Architecture:** Keep one runnable sample module under `samples/a365/s2s/`, but separate configuration/token acquisition from a deterministic `_emit_sample_telemetry` function that tests can execute without network access. Use the existing A365 scope classes and enriching span processor so the test validates final exported span attributes, including baggage propagation. + +**Tech Stack:** Python 3.10+, Microsoft OpenTelemetry distro, OpenTelemetry SDK in-memory exporter, MSAL, pytest, uv, Black, Pylint, Mypy. + +## Global Constraints + +- Merge `origin/main` into `nikhilc/add-a365-s2s-sample`; do not rebase or rewrite PR history. +- Preserve current `main` dependency metadata and root `uv.lock`; do not restore the obsolete `openai<2.45.0` constraint. +- Remove `samples/a365/s2s/.env.example`, `samples/a365/s2s/pyproject.toml`, and `samples/a365/s2s/uv.lock`. +- Keep the sample under `samples/a365/s2s/`. +- Demonstrate `InvokeAgentScope`, `ApplyGuardrailScope`, `InferenceScope`, `ExecuteToolScope`, and `OutputScope`. +- Validate the Microsoft Learn Store attribute lists for invoke-agent, inference, execute-tool, and output spans. +- Do not require or emit `microsoft.agent.user.id` or `microsoft.agent.user.email` for the S2S flow. +- Require real tenant, agent, blueprint, and human caller identity values through environment variables. +- Preserve tenant mismatch rejection, tenant/agent token caching, and duplicate-handler protection. +- Do not refactor unrelated A365 samples or change scope/exporter APIs. + +--- + +## File Structure + +- `samples/a365/s2s/s2s_exporter.py`: S2S environment validation, MSAL token resolver, exporter logging, deterministic sample telemetry, and CLI entry point. +- `samples/a365/s2s/README.md`: prerequisites, environment contract, run command, Store-validation scope/attribute coverage, and troubleshooting. +- `tests/a365/test_s2s_sample.py`: network-free tests for emitted scope coverage, Store-required attributes, S2S exemptions, guardrail events, token tenant validation, cache reuse, and logging idempotence. +- `README.md`: sample catalog link only. +- `docs/superpowers/specs/2026-09-25-a365-s2s-store-validation-design.md`: approved design, retained unchanged. + +### Task 1: Merge Current Main and Remove Obsolete PR Artifacts + +**Files:** +- Modify: `README.md` +- Modify: `pyproject.toml` +- Delete: `samples/a365/s2s/.env.example` +- Delete: `samples/a365/s2s/pyproject.toml` +- Delete: `samples/a365/s2s/uv.lock` + +**Interfaces:** +- Consumes: `origin/main` at the latest fetched commit and the existing PR branch. +- Produces: A conflict-free branch containing current scope APIs and only the S2S sample changes relevant to PR #217. + +- [ ] **Step 1: Fetch and merge current main** + +Run: + +```powershell +git fetch origin main +git merge --no-ff origin/main +``` + +Expected: Git reports conflicts in `README.md` and `pyproject.toml`; the merge remains in progress. + +- [ ] **Step 2: Resolve dependency metadata in favor of current main** + +Run: + +```powershell +git checkout --theirs pyproject.toml +git add pyproject.toml +``` + +Expected: `pyproject.toml` matches `origin/main`; the merge brings in the +current root `uv.lock`; no `openai<2.45.0` lines remain. + +- [ ] **Step 3: Resolve the sample catalog from current main** + +Run: + +```powershell +git checkout --theirs README.md +git add README.md +``` + +Expected: `README.md` contains the current `main` content. The S2S row will be re-added in Task 4. + +- [ ] **Step 4: Remove files rejected in review** + +Run: + +```powershell +git rm samples\a365\s2s\.env.example samples\a365\s2s\pyproject.toml samples\a365\s2s\uv.lock +git status --short +``` + +Expected: the three sample-local setup files are staged as deleted and no merge conflict markers remain. + +- [ ] **Step 5: Complete the merge commit** + +Run: + +```powershell +git commit -m "Merge main into A365 S2S sample" -m "Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>" +``` + +Expected: a merge commit is created and `git status --short` is clean. + +### Task 2: Add Failing Store-Contract Span Tests + +**Files:** +- Create: `tests/a365/test_s2s_sample.py` +- Test: `tests/a365/test_s2s_sample.py` + +**Interfaces:** +- Consumes: Existing `OpenTelemetryScope`, `_EnrichingBatchSpanProcessor`, and A365 semantic constants from current `main`. +- Produces: Test requirements for `s2s_exporter._emit_sample_telemetry(agent_details, user_details, request) -> str`. + +- [ ] **Step 1: Create the in-memory span capture fixture** + +Create `tests/a365/test_s2s_sample.py` with these imports and fixture: + +```python +import importlib.util +import os +import sys +from pathlib import Path +from unittest.mock import MagicMock, patch + +import pytest +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter + +from microsoft.opentelemetry.a365.core import AgentDetails, Channel, Request, UserDetails +from microsoft.opentelemetry.a365.core.constants import SOURCE_NAME +from microsoft.opentelemetry.a365.core.exporters.enriching_span_processor import ( + _EnrichingBatchSpanProcessor, +) +from microsoft.opentelemetry.a365.core.opentelemetry_scope import OpenTelemetryScope + + +SAMPLE_PATH = Path(__file__).parents[2] / "samples" / "a365" / "s2s" / "s2s_exporter.py" +SPEC = importlib.util.spec_from_file_location("a365_s2s_exporter_sample", SAMPLE_PATH) +assert SPEC is not None and SPEC.loader is not None +s2s_exporter = importlib.util.module_from_spec(SPEC) +SPEC.loader.exec_module(s2s_exporter) + + +@pytest.fixture +def captured_spans(monkeypatch): + monkeypatch.setenv("ENABLE_OBSERVABILITY", "true") + exporter = InMemorySpanExporter() + provider = TracerProvider() + processor = _EnrichingBatchSpanProcessor( + exporter, + max_queue_size=64, + schedule_delay_millis=60_000, + max_export_batch_size=64, + ) + provider.add_span_processor(processor) + OpenTelemetryScope._tracer = provider.get_tracer(SOURCE_NAME) + + yield exporter, provider + + provider.shutdown() + OpenTelemetryScope._tracer = None +``` + +- [ ] **Step 2: Define the required Store attributes and sample identities** + +Add: + +```python +INVOKE_REQUIRED = { + "microsoft.a365.agent.blueprint.id", + "gen_ai.agent.id", + "gen_ai.agent.name", + "client.address", + "user.id", + "user.email", + "microsoft.channel.name", + "gen_ai.conversation.id", + "gen_ai.input.messages", + "gen_ai.operation.name", + "gen_ai.output.messages", + "server.address", + "server.port", + "microsoft.tenant.id", +} +INFERENCE_REQUIRED = { + "microsoft.a365.agent.blueprint.id", + "gen_ai.agent.id", + "gen_ai.agent.name", + "client.address", + "user.id", + "user.email", + "microsoft.channel.name", + "gen_ai.conversation.id", + "gen_ai.input.messages", + "gen_ai.operation.name", + "gen_ai.output.messages", + "gen_ai.provider.name", + "gen_ai.request.model", + "microsoft.tenant.id", +} +TOOL_REQUIRED = { + "microsoft.a365.agent.blueprint.id", + "gen_ai.agent.id", + "gen_ai.agent.name", + "client.address", + "user.id", + "user.email", + "microsoft.channel.name", + "gen_ai.conversation.id", + "gen_ai.operation.name", + "gen_ai.tool.call.arguments", + "gen_ai.tool.call.id", + "gen_ai.tool.call.result", + "gen_ai.tool.name", + "gen_ai.tool.type", + "microsoft.tenant.id", +} +OUTPUT_REQUIRED = { + "microsoft.a365.agent.blueprint.id", + "gen_ai.agent.id", + "gen_ai.agent.name", + "client.address", + "user.id", + "user.email", + "microsoft.channel.name", + "gen_ai.conversation.id", + "gen_ai.operation.name", + "gen_ai.output.messages", + "microsoft.tenant.id", +} + + +def _sample_inputs(): + agent = AgentDetails( + agent_id="agent-123", + agent_name="Weather Agent", + agent_description="Answers weather questions", + agent_blueprint_id="blueprint-123", + tenant_id="tenant-123", + provider_name="azure-openai", + agent_version="1.0.0", + ) + user = UserDetails( + user_id="user-123", + user_email="user@contoso.com", + user_name="Sample User", + user_client_ip="203.0.113.10", + ) + request = Request( + content="What is the weather in Seattle?", + session_id="session-123", + channel=Channel(name="service", link="https://contoso.example/channel"), + conversation_id="conversation-123", + ) + return agent, user, request +``` + +- [ ] **Step 3: Write the failing Store-attribute test** + +Add: + +```python +def test_sample_emits_store_required_attributes(captured_spans): + exporter, provider = captured_spans + agent, user, request = _sample_inputs() + + result = s2s_exporter._emit_sample_telemetry(agent, user, request) + assert result == "It's currently 62°F and partly cloudy in Seattle." + assert provider.force_flush() + + spans = exporter.get_finished_spans() + by_operation = { + span.attributes["gen_ai.operation.name"]: span + for span in spans + if "gen_ai.operation.name" in span.attributes + } + assert { + "invoke_agent", + "apply_guardrail", + "chat", + "execute_tool", + "output_messages", + }.issubset(by_operation) + + required_by_operation = { + "invoke_agent": INVOKE_REQUIRED, + "chat": INFERENCE_REQUIRED, + "execute_tool": TOOL_REQUIRED, + "output_messages": OUTPUT_REQUIRED, + } + for operation, required in required_by_operation.items(): + attributes = dict(by_operation[operation].attributes) + assert required <= attributes.keys(), f"{operation} missing {required - attributes.keys()}" + assert "microsoft.agent.user.id" not in attributes + assert "microsoft.agent.user.email" not in attributes +``` + +- [ ] **Step 4: Write the failing guardrail event test** + +Add: + +```python +def test_sample_emits_guardrail_details_and_finding(captured_spans): + exporter, provider = captured_spans + agent, user, request = _sample_inputs() + + s2s_exporter._emit_sample_telemetry(agent, user, request) + assert provider.force_flush() + + guardrail = next( + span + for span in exporter.get_finished_spans() + if span.attributes.get("gen_ai.operation.name") == "apply_guardrail" + ) + assert guardrail.attributes["gen_ai.security.target.type"] == "llm_input" + assert guardrail.attributes["gen_ai.security.decision.type"] == "allow" + assert guardrail.attributes["gen_ai.guardian.name"] == "Sample Content Safety" + assert [event.name for event in guardrail.events] == ["microsoft.security.finding"] +``` + +- [ ] **Step 5: Run tests and verify they fail for the missing helper** + +Run: + +```powershell +uv run pytest tests\a365\test_s2s_sample.py -q +``` + +Expected: FAIL because `s2s_exporter.py` does not define `_emit_sample_telemetry` and does not emit guardrail/output scopes. + +- [ ] **Step 6: Commit the failing tests** + +Run: + +```powershell +git add tests\a365\test_s2s_sample.py +git commit -m "test: define A365 S2S store telemetry contract" -m "Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>" +``` + +Expected: one test-only commit. + +### Task 3: Implement All Scopes and Required Store Attributes + +**Files:** +- Modify: `samples/a365/s2s/s2s_exporter.py` +- Test: `tests/a365/test_s2s_sample.py` + +**Interfaces:** +- Consumes: `AgentDetails`, `UserDetails`, and `Request`. +- Produces: `_emit_sample_telemetry(agent_details: AgentDetails, user_details: UserDetails, request: Request) -> str`. + +- [ ] **Step 1: Replace dotenv configuration with explicit environment names** + +Remove `python-dotenv`, `load_dotenv`, and the `load_dotenv()` call. Add: + +```python +A365_AGENT_ID_ENV = "A365_AGENT_ID" +A365_AGENT_BLUEPRINT_ID_ENV = "A365_AGENT_BLUEPRINT_ID" +A365_CALLER_USER_ID_ENV = "A365_CALLER_USER_ID" +A365_CALLER_USER_EMAIL_ENV = "A365_CALLER_USER_EMAIL" +A365_CALLER_CLIENT_IP_ENV = "A365_CALLER_CLIENT_IP" +``` + +Change `_require_env` to: + +```python +def _require_env(name: str) -> str: + value = os.environ.get(name, "").strip() + if not value or (value.startswith("<") and value.endswith(">")): + raise SystemExit(f"Environment variable {name} is not set. See samples/a365/s2s/README.md.") + return value +``` + +- [ ] **Step 2: Import all current scope and model types** + +Extend the A365 imports with: + +```python +ApplyGuardrailScope, +CallerDetails, +Channel, +GuardrailDecisionType, +GuardrailDetails, +GuardrailFinding, +GuardrailRiskSeverity, +GuardrailTargetType, +OutputScope, +Response, +SpanDetails, +UserDetails, +``` + +- [ ] **Step 3: Add the deterministic telemetry function** + +Add this function before `main()`: + +```python +def _emit_sample_telemetry( + agent_details: AgentDetails, + user_details: UserDetails, + request: Request, +) -> str: + user_question = "What's the weather in Seattle?" + final_answer = "It's currently 62°F and partly cloudy in Seattle." + invoke_context = None + + baggage = ( + BaggageBuilder() + .tenant_id(agent_details.tenant_id) + .agent_id(agent_details.agent_id) + .agent_blueprint_id(agent_details.agent_blueprint_id) + .agent_name(agent_details.agent_name) + .agent_description(agent_details.agent_description) + .agent_version(agent_details.agent_version) + .user_id(user_details.user_id) + .user_email(user_details.user_email) + .user_name(user_details.user_name) + .user_client_ip(user_details.user_client_ip) + .channel_name(request.channel.name if request.channel else None) + .channel_links(request.channel.link if request.channel else None) + .session_id(request.session_id) + .conversation_id(request.conversation_id) + .invoke_agent_server("weather-agent.contoso.com", 8443) + ) + + with baggage.build(): + with InvokeAgentScope.start( + request=request, + scope_details=InvokeAgentScopeDetails( + endpoint=ServiceEndpoint(hostname="weather-agent.contoso.com", port=8443), + ), + agent_details=agent_details, + caller_details=CallerDetails(user_details=user_details), + ) as invoke_scope: + invoke_scope.record_input_messages( + InputMessages( + messages=[ + ChatMessage(role=MessageRole.USER, parts=[TextPart(content=user_question)]) + ] + ) + ) + + with ApplyGuardrailScope.start( + details=GuardrailDetails( + target_type=GuardrailTargetType.LLM_INPUT, + decision_type=GuardrailDecisionType.ALLOW, + guardian_name="Sample Content Safety", + guardian_id="sample-content-safety", + guardian_provider_name="contoso.security", + guardian_version="1.0", + target_id="prompt-123", + decision_reason="No unsafe content detected", + decision_code="allowed", + policy_id="policy-123", + policy_name="Default Prompt Safety", + policy_version="1.0", + content_modified=False, + ), + agent_details=agent_details, + request=request, + user_details=user_details, + ) as guardrail_scope: + guardrail_scope.record_content_input(user_question) + guardrail_scope.record_finding( + GuardrailFinding( + risk_category="unsafe_content", + risk_severity=GuardrailRiskSeverity.NONE, + risk_score=0.0, + policy_decision_type=GuardrailDecisionType.ALLOW, + policy_id="policy-123", + policy_name="Default Prompt Safety", + policy_version="1.0", + ) + ) + + with InferenceScope.start( + request=request, + details=InferenceCallDetails( + operationName=InferenceOperationType.CHAT, + model="gpt-4o", + providerName="azure-openai", + endpoint=ServiceEndpoint(hostname="example.openai.azure.com", port=443), + ), + agent_details=agent_details, + user_details=user_details, + ) as inference_scope: + inference_scope.record_input_messages( + InputMessages( + messages=[ + ChatMessage( + role=MessageRole.SYSTEM, + parts=[TextPart(content="You are a helpful weather assistant.")], + ), + ChatMessage(role=MessageRole.USER, parts=[TextPart(content=user_question)]), + ] + ) + ) + inference_scope.record_input_tokens(45) + inference_scope.record_output_tokens(12) + inference_scope.record_finish_reasons(["tool_call"]) + inference_scope.record_output_messages( + OutputMessages( + messages=[ + OutputMessage( + role=MessageRole.ASSISTANT, + parts=[TextPart(content="I'll look up the weather for Seattle.")], + finish_reason="tool_call", + ) + ] + ) + ) + + with ExecuteToolScope.start( + request=request, + details=ToolCallDetails( + tool_name="get_weather", + arguments={"city": "Seattle", "units": "fahrenheit"}, + tool_call_id="call-123", + description="Fetches current weather for a city", + tool_type=ToolType.FUNCTION.value, + endpoint=ServiceEndpoint(hostname="weather-api.contoso.com", port=443), + ), + agent_details=agent_details, + user_details=user_details, + ) as tool_scope: + tool_scope.record_response('{"temperature":62,"condition":"Partly cloudy"}') + + invoke_scope.record_output_messages( + OutputMessages( + messages=[ + OutputMessage( + role=MessageRole.ASSISTANT, + parts=[TextPart(content=final_answer)], + finish_reason="stop", + ) + ] + ) + ) + invoke_context = invoke_scope.get_context() + + assert invoke_context is not None + with OutputScope.start( + request=request, + response=Response(messages=final_answer), + agent_details=agent_details, + user_details=user_details, + span_details=SpanDetails(parent_context=invoke_context), + ): + pass + + return final_answer +``` + +- [ ] **Step 4: Build real identities in `main()`** + +Replace the old optional agent-ID fallback and inline scope body with: + +```python +tenant_id = _require_env(A365_SERVICE_TENANT_ID_ENV) +agent = AgentDetails( + agent_id=_require_env(A365_AGENT_ID_ENV), + agent_name="Weather Agent", + agent_description="Answers weather-related questions", + agent_blueprint_id=_require_env(A365_AGENT_BLUEPRINT_ID_ENV), + tenant_id=tenant_id, + provider_name="azure-openai", + agent_version="1.0.0", +) +user = UserDetails( + user_id=_require_env(A365_CALLER_USER_ID_ENV), + user_email=_require_env(A365_CALLER_USER_EMAIL_ENV), + user_name="Sample Caller", + user_client_ip=_require_env(A365_CALLER_CLIENT_IP_ENV), +) +request = Request( + content="What's the weather in Seattle?", + session_id="session-s2s-123", + channel=Channel(name="service", link="https://contoso.example/a365-s2s"), + conversation_id="conv-s2s-789", +) +_emit_sample_telemetry(agent, user, request) +``` + +Do not set `agentic_user_id` or `agentic_user_email`. + +- [ ] **Step 5: Run the Store-contract tests** + +Run: + +```powershell +uv run pytest tests\a365\test_s2s_sample.py -q +``` + +Expected: both span tests PASS. If the operation value for inference is normalized differently, inspect the emitted `gen_ai.operation.name` and update the test to the repository's actual semantic value rather than weakening the assertion. + +- [ ] **Step 6: Commit all-scope telemetry** + +Run: + +```powershell +git add samples\a365\s2s\s2s_exporter.py tests\a365\test_s2s_sample.py +git commit -m "Add store-ready telemetry to A365 S2S sample" -m "Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>" +``` + +Expected: implementation and passing Store-contract tests are committed together. + +### Task 4: Test Token Resolver and Logging Review Fixes + +**Files:** +- Modify: `tests/a365/test_s2s_sample.py` +- Test: `tests/a365/test_s2s_sample.py` + +**Interfaces:** +- Consumes: `build_s2s_token_resolver() -> Callable[[str, str], str | None]` and `_configure_export_logging() -> None`. +- Produces: Regression coverage for previously addressed PR comments. + +- [ ] **Step 1: Add an environment helper** + +Add: + +```python +S2S_ENV = { + s2s_exporter.A365_SERVICE_CLIENT_ID_ENV: "blueprint-client-id", + s2s_exporter.A365_SERVICE_CLIENT_SECRET_ENV: "secret", + s2s_exporter.A365_SERVICE_TENANT_ID_ENV: "tenant-123", + s2s_exporter.A365_AGENT_APP_INSTANCE_ID_ENV: "instance-123", +} +``` + +- [ ] **Step 2: Test tenant mismatch fails before MSAL acquisition** + +Add: + +```python +def test_token_resolver_rejects_tenant_mismatch(monkeypatch, capsys): + fake_msal = MagicMock() + monkeypatch.setitem(sys.modules, "msal", fake_msal) + for name, value in S2S_ENV.items(): + monkeypatch.setenv(name, value) + + resolver = s2s_exporter.build_s2s_token_resolver() + + assert resolver("agent-123", "different-tenant") is None + assert "does not match configured tenant" in capsys.readouterr().out + fake_msal.ConfidentialClientApplication.assert_not_called() +``` + +- [ ] **Step 3: Test successful token reuse** + +Add: + +```python +def test_token_resolver_caches_by_tenant_and_agent(monkeypatch): + first_app = MagicMock() + first_app.acquire_token_for_client.return_value = {"access_token": "agent-token"} + second_app = MagicMock() + second_app.acquire_token_for_client.return_value = { + "access_token": "observability-token", + "expires_in": 3600, + } + fake_msal = MagicMock() + fake_msal.ConfidentialClientApplication.side_effect = [first_app, second_app] + monkeypatch.setitem(sys.modules, "msal", fake_msal) + for name, value in S2S_ENV.items(): + monkeypatch.setenv(name, value) + + resolver = s2s_exporter.build_s2s_token_resolver() + + assert resolver("agent-123", "tenant-123") == "observability-token" + assert resolver("agent-123", "tenant-123") == "observability-token" + assert fake_msal.ConfidentialClientApplication.call_count == 2 +``` + +- [ ] **Step 4: Test exporter logging is idempotent** + +Add: + +```python +def test_configure_export_logging_adds_one_named_handler(): + logger = s2s_exporter.logging.getLogger( + "microsoft.opentelemetry.a365.core.exporters.agent365_exporter" + ) + original_handlers = list(logger.handlers) + original_propagate = logger.propagate + try: + logger.handlers = [] + s2s_exporter._configure_export_logging() + s2s_exporter._configure_export_logging() + + matching = [ + handler + for handler in logger.handlers + if handler.name == "a365-s2s-sample-export-logging" + ] + assert len(matching) == 1 + assert logger.propagate is False + finally: + logger.handlers = original_handlers + logger.propagate = original_propagate +``` + +- [ ] **Step 5: Run the regression tests** + +Run: + +```powershell +uv run pytest tests\a365\test_s2s_sample.py -q +``` + +Expected: all tests PASS. + +- [ ] **Step 6: Commit review-fix coverage** + +Run: + +```powershell +git add tests\a365\test_s2s_sample.py +git commit -m "Test A365 S2S resolver review fixes" -m "Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>" +``` + +Expected: one focused test commit. + +### Task 5: Document Setup and Store Validation + +**Files:** +- Modify: `samples/a365/s2s/README.md` +- Modify: `README.md` + +**Interfaces:** +- Consumes: The final environment constants and run path from `s2s_exporter.py`. +- Produces: Copy-pasteable PowerShell/Bash setup instructions without sample-local project files. + +- [ ] **Step 1: Replace sample-local setup instructions** + +Document these commands: + +```powershell +$env:ENABLE_OBSERVABILITY = "true" +$env:ENABLE_A365_OBSERVABILITY_EXPORTER = "true" +$env:CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID = "" +$env:CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET = "" +$env:CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID = "" +$env:A365_AGENT_APP_INSTANCE_ID = "" +$env:A365_AGENT_ID = "" +$env:A365_AGENT_BLUEPRINT_ID = "" +$env:A365_CALLER_USER_ID = "" +$env:A365_CALLER_USER_EMAIL = "" +$env:A365_CALLER_CLIENT_IP = "" + +uv run --with msal python samples\a365\s2s\s2s_exporter.py +``` + +Also provide equivalent Bash `export NAME=value` syntax. State that the values must be real deployment values and that angle-bracket placeholders are rejected. + +- [ ] **Step 2: Document scope and Store coverage** + +Add a table: + +```markdown +| Scope | Sample behavior | Store validation | +| --- | --- | --- | +| `InvokeAgentScope` | Root request, identity, endpoint, input, final output | Required | +| `InferenceScope` | Model/provider, messages, token usage, finish reason | Required | +| `ExecuteToolScope` | Tool identity, arguments, result | Required | +| `OutputScope` | Child span for asynchronous/final output | Validate before publishing | +| `ApplyGuardrailScope` | Input safety decision and finding event | Additional security telemetry | +``` + +Explicitly state that S2S does not populate `microsoft.agent.user.id` or `microsoft.agent.user.email`. + +- [ ] **Step 3: Preserve permission and diagnostics guidance** + +Keep: + +- `Agent365.Observability.OtelWrite` application permission with admin consent. +- `a365_use_s2s_endpoint=True`. +- Expected HTTP success/correlation-ID logging. +- HTTP 401/403 troubleshooting. +- Link to the Microsoft Learn Store-validation section. + +- [ ] **Step 4: Re-add the root sample catalog row** + +Under the A365 sample rows in `README.md`, add: + +```markdown +| [samples/a365/s2s/s2s_exporter.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/s2s/s2s_exporter.py) | A365 | Store-ready S2S export with all manual observability scopes | +``` + +- [ ] **Step 5: Commit documentation** + +Run: + +```powershell +git add README.md samples\a365\s2s\README.md +git commit -m "Document A365 S2S store validation setup" -m "Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>" +``` + +Expected: sample setup no longer references `.env.example`, a local `pyproject.toml`, or local `uv.lock`. + +### Task 6: Run Final Validation and Update the PR + +**Files:** +- Verify: `samples/a365/s2s/s2s_exporter.py` +- Verify: `samples/a365/s2s/README.md` +- Verify: `tests/a365/test_s2s_sample.py` +- Verify: `README.md` + +**Interfaces:** +- Consumes: Completed branch. +- Produces: A pushed PR branch with resolved review feedback and passing checks. + +- [ ] **Step 1: Format the changed Python files** + +Run: + +```powershell +uv run black --check samples\a365\s2s\s2s_exporter.py tests\a365\test_s2s_sample.py +``` + +Expected: `2 files would be left unchanged`. + +- [ ] **Step 2: Run targeted tests** + +Run: + +```powershell +uv run pytest tests\a365\test_s2s_sample.py tests\a365\test_apply_guardrail_scope.py tests\a365\test_invoke_agent_scope.py -q +``` + +Expected: all selected tests PASS. + +- [ ] **Step 3: Run targeted static analysis** + +Run: + +```powershell +uv run pylint samples\a365\s2s\s2s_exporter.py tests\a365\test_s2s_sample.py +uv run mypy samples\a365\s2s\s2s_exporter.py +``` + +Expected: Pylint exits 0 and Mypy reports `Success: no issues found`. + +- [ ] **Step 4: Verify review cleanup and diff scope** + +Run: + +```powershell +git status --short +git diff --check origin/main...HEAD +git diff --name-status origin/main...HEAD +rg -n "dotenv|\.env\.example|samples/a365/s2s/pyproject|openai<2\.45" README.md pyproject.toml samples\a365\s2s tests\a365\test_s2s_sample.py +``` + +Expected: + +- Working tree clean. +- `git diff --check` prints nothing. +- The rejected sample-local files are absent. +- No obsolete OpenAI cap or dotenv setup remains. + +- [ ] **Step 5: Push the PR branch** + +Run: + +```powershell +git push fork nikhilc/add-a365-s2s-sample +``` + +Expected: the branch updates successfully and PR #217 is no longer behind `main`. + +- [ ] **Step 6: Reply to review threads** + +Use `gh api` to reply to the outstanding review thread that requested removal of `.env.example`, sample `pyproject.toml`, and `uv.lock`, stating that the files were removed and prerequisites moved to the README. Do not resolve threads owned by another reviewer unless the API permits the PR author to do so. + +- [ ] **Step 7: Verify PR checks start** + +Run: + +```powershell +gh pr checks 217 --repo microsoft/opentelemetry-distro-python +``` + +Expected: checks are queued/in progress or passing on the newly pushed head. From d21df7541d32bd1dda1048e453c5564fa018402f Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Fri, 25 Sep 2026 13:50:49 -0600 Subject: [PATCH 07/15] Ignore local git worktrees Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 7989886d..9d7387c6 100644 --- a/.gitignore +++ b/.gitignore @@ -7,6 +7,7 @@ __pycache__/ dist/ build/ .venv/ +.worktrees/ .env .pytest_cache/ .mypy_cache/ From bc339c4da4ffd94d45d78b415ca99b0c07a40bfc Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Fri, 25 Sep 2026 14:11:34 -0600 Subject: [PATCH 08/15] Restore A365 S2S sample README entry Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 3e486cdb..3e77ff55 100644 --- a/README.md +++ b/README.md @@ -348,6 +348,7 @@ remain enabled by default. |---|---|---| | [samples/a365/exporter.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/exporter.py) | A365 | LangChain with A365 auto-instrumentation | | [samples/a365/manual_telemetry.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/manual_telemetry.py) | A365 | Manual instrumentation using all scope classes | +| [samples/a365/s2s/s2s_exporter.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/s2s/s2s_exporter.py) | A365 | S2S (service-to-service) export with an app-only token resolver | | [samples/distro/tracing.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/distro/tracing.py) | Azure Monitor | Basic tracing | | [samples/distro/metrics.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/distro/metrics.py) | Azure Monitor | Metrics collection | | [samples/distro/logging_sample.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/distro/logging_sample.py) | Azure Monitor | Log export | From d9d35f257c35dfbb742f8b3e02b7ef9d2c58b9c4 Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Fri, 25 Sep 2026 14:16:11 -0600 Subject: [PATCH 09/15] Fix A365 S2S sample setup guidance Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- samples/a365/s2s/README.md | 18 +++--------------- samples/a365/s2s/s2s_exporter.py | 13 ++++++++----- 2 files changed, 11 insertions(+), 20 deletions(-) diff --git a/samples/a365/s2s/README.md b/samples/a365/s2s/README.md index 1f60398a..0854cb71 100644 --- a/samples/a365/s2s/README.md +++ b/samples/a365/s2s/README.md @@ -28,20 +28,8 @@ so the sample needs no LLM. ## Setup -Install dependencies into a project-managed virtual environment with -[uv](https://docs.astral.sh/uv/) (uv reads `pyproject.toml` and creates -`.venv` automatically): - -```bash -uv sync -``` - -Create your `.env` from the template and fill in your values (`.env` is -gitignored): - -```bash -cp .env.example .env -``` +Set the required environment variables in your shell before running the sample. +The environment variable reference below lists the required values. The S2S credentials are validated at startup, so all four `CONNECTIONS__SERVICE_CONNECTION__SETTINGS__*` / `A365_AGENT_APP_INSTANCE_ID` @@ -51,7 +39,7 @@ to `true` once you have real credentials to export to A365. ## Run ```bash -uv run python s2s_exporter.py +uv run --with msal python samples\a365\s2s\s2s_exporter.py ``` The sample enables DEBUG logging for the A365 exporter, so when diff --git a/samples/a365/s2s/s2s_exporter.py b/samples/a365/s2s/s2s_exporter.py index bdaf124c..f6c4dd77 100644 --- a/samples/a365/s2s/s2s_exporter.py +++ b/samples/a365/s2s/s2s_exporter.py @@ -90,8 +90,8 @@ def _require_env(name: str) -> str: value = os.environ.get(name, "").strip() if not value or (value.startswith("<") and value.endswith(">")): raise SystemExit( - f"Environment variable {name} is not set. Copy .env.example to .env " - "and fill in your value (see README.md)." + f"Environment variable {name} is not set. Set the required shell variables " + "and run the sample as described in samples/a365/s2s/README.md." ) return value @@ -118,7 +118,9 @@ def build_s2s_token_resolver(): import msal except ImportError as exc: raise SystemExit( - "msal is required for the S2S sample. Install dependencies with `uv sync`." + "msal is required for the S2S sample. Run `uv run --with msal python " + "samples\\a365\\s2s\\s2s_exporter.py` from the repository root as described " + "in samples/a365/s2s/README.md." ) from exc client_id = _require_env(A365_SERVICE_CLIENT_ID_ENV) @@ -230,8 +232,9 @@ def _configure_export_logging() -> None: def main(): - # Load configuration from a local .env file (see .env.example). Real - # environment variables take precedence over the .env file (dotenv default). + # Load configuration from a local .env file if present. Real environment + # variables take precedence over the file values (dotenv default); see + # samples/a365/s2s/README.md for the repository-root run command. load_dotenv() # Show the A365 exporter's HTTP status / correlation id (DEBUG-level). From 512bf94d60894b95deb7eec92a74393b69001196 Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Fri, 25 Sep 2026 14:20:25 -0600 Subject: [PATCH 10/15] Remove dotenv from A365 S2S sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- samples/a365/s2s/s2s_exporter.py | 7 ------- 1 file changed, 7 deletions(-) diff --git a/samples/a365/s2s/s2s_exporter.py b/samples/a365/s2s/s2s_exporter.py index f6c4dd77..b1a044dc 100644 --- a/samples/a365/s2s/s2s_exporter.py +++ b/samples/a365/s2s/s2s_exporter.py @@ -48,8 +48,6 @@ import time from typing import Optional -from dotenv import load_dotenv - from microsoft.opentelemetry import use_microsoft_opentelemetry from microsoft.opentelemetry.a365.core import ( AgentDetails, @@ -232,11 +230,6 @@ def _configure_export_logging() -> None: def main(): - # Load configuration from a local .env file if present. Real environment - # variables take precedence over the file values (dotenv default); see - # samples/a365/s2s/README.md for the repository-root run command. - load_dotenv() - # Show the A365 exporter's HTTP status / correlation id (DEBUG-level). _configure_export_logging() From bcd0fa4c31642c5bec2116b4bad88e10d3bce42e Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Fri, 25 Sep 2026 14:23:26 -0600 Subject: [PATCH 11/15] Use shell-neutral S2S sample path Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- samples/a365/s2s/README.md | 2 +- samples/a365/s2s/s2s_exporter.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/samples/a365/s2s/README.md b/samples/a365/s2s/README.md index 0854cb71..439f796c 100644 --- a/samples/a365/s2s/README.md +++ b/samples/a365/s2s/README.md @@ -39,7 +39,7 @@ to `true` once you have real credentials to export to A365. ## Run ```bash -uv run --with msal python samples\a365\s2s\s2s_exporter.py +uv run --with msal python samples/a365/s2s/s2s_exporter.py ``` The sample enables DEBUG logging for the A365 exporter, so when diff --git a/samples/a365/s2s/s2s_exporter.py b/samples/a365/s2s/s2s_exporter.py index b1a044dc..4b9296e3 100644 --- a/samples/a365/s2s/s2s_exporter.py +++ b/samples/a365/s2s/s2s_exporter.py @@ -117,7 +117,7 @@ def build_s2s_token_resolver(): except ImportError as exc: raise SystemExit( "msal is required for the S2S sample. Run `uv run --with msal python " - "samples\\a365\\s2s\\s2s_exporter.py` from the repository root as described " + "samples/a365/s2s/s2s_exporter.py` from the repository root as described " "in samples/a365/s2s/README.md." ) from exc From 55914d76379932e39a6fbe622007c88fc1900e7a Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Fri, 25 Sep 2026 14:44:48 -0600 Subject: [PATCH 12/15] Remove Task 1 S2S README catalog row Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/README.md b/README.md index 3e77ff55..3e486cdb 100644 --- a/README.md +++ b/README.md @@ -348,7 +348,6 @@ remain enabled by default. |---|---|---| | [samples/a365/exporter.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/exporter.py) | A365 | LangChain with A365 auto-instrumentation | | [samples/a365/manual_telemetry.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/manual_telemetry.py) | A365 | Manual instrumentation using all scope classes | -| [samples/a365/s2s/s2s_exporter.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/s2s/s2s_exporter.py) | A365 | S2S (service-to-service) export with an app-only token resolver | | [samples/distro/tracing.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/distro/tracing.py) | Azure Monitor | Basic tracing | | [samples/distro/metrics.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/distro/metrics.py) | Azure Monitor | Metrics collection | | [samples/distro/logging_sample.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/distro/logging_sample.py) | Azure Monitor | Log export | From 8812f4ae10e5e92e12cf2cce4f5dd854aaf49647 Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Fri, 25 Sep 2026 15:02:55 -0600 Subject: [PATCH 13/15] Add store-ready telemetry to A365 S2S sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .gitignore | 1 - README.md | 1 + samples/a365/s2s/README.md | 133 ++++++++++------ samples/a365/s2s/s2s_exporter.py | 260 +++++++++++++++++-------------- tests/a365/test_s2s_sample.py | 233 +++++++++++++++++++++++++++ 5 files changed, 461 insertions(+), 167 deletions(-) create mode 100644 tests/a365/test_s2s_sample.py diff --git a/.gitignore b/.gitignore index bd65f4bc..ed511ea9 100644 --- a/.gitignore +++ b/.gitignore @@ -7,7 +7,6 @@ __pycache__/ dist/ build/ .venv/ -.worktrees/ .vscode/ .env .pytest_cache/ diff --git a/README.md b/README.md index 3e486cdb..b0601355 100644 --- a/README.md +++ b/README.md @@ -348,6 +348,7 @@ remain enabled by default. |---|---|---| | [samples/a365/exporter.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/exporter.py) | A365 | LangChain with A365 auto-instrumentation | | [samples/a365/manual_telemetry.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/manual_telemetry.py) | A365 | Manual instrumentation using all scope classes | +| [samples/a365/s2s/s2s_exporter.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/s2s/s2s_exporter.py) | A365 | Store-ready S2S export with all manual observability scopes | | [samples/distro/tracing.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/distro/tracing.py) | Azure Monitor | Basic tracing | | [samples/distro/metrics.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/distro/metrics.py) | Azure Monitor | Metrics collection | | [samples/distro/logging_sample.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/distro/logging_sample.py) | Azure Monitor | Log export | diff --git a/samples/a365/s2s/README.md b/samples/a365/s2s/README.md index 439f796c..69b33649 100644 --- a/samples/a365/s2s/README.md +++ b/samples/a365/s2s/README.md @@ -1,66 +1,99 @@ # A365 S2S Exporter Sample -A self-contained sample showing how to export [Agent 365](https://learn.microsoft.com/en-us/microsoft-agent-365/) telemetry using the **S2S (service-to-service)** flow. +This sample exports [Agent 365](https://learn.microsoft.com/en-us/microsoft-agent-365/) +telemetry through the service-to-service (S2S) endpoint and demonstrates every +public manual observability scope. -In the S2S scenario a service authenticates **on its own behalf** using its app -registration credentials — there is **no agentic user**. Two things make this an -S2S sample: - -1. `a365_use_s2s_endpoint=True` — routes export to the S2S ingest path. -2. A custom `a365_token_resolver` that performs the MSAL app → instance token - exchange and acquires an *application* token for the A365 observability scope. - -The token resolver mirrors the SDK's FIC flow (`_create_fic_token_resolver` in -`src/microsoft/opentelemetry/a365/core/exporters/utils.py`), but **excludes** the -agentic-user step (`A365_AGENTIC_USER_ID` / `user_fic` grant). - -The telemetry is produced with the A365 scope classes (manual instrumentation), -so the sample needs no LLM. +The service authenticates on its own behalf. The token resolver uses the +Blueprint application credentials to obtain an agent-instance token and then an +application token for the A365 observability scope. It deliberately omits the +agentic-user FIC step and does not emit `microsoft.agent.user.id` or +`microsoft.agent.user.email`. ## Prerequisites - Python 3.10+ - [uv](https://docs.astral.sh/uv/) -- To actually export: a Blueprint app registration granted the - `Agent365.Observability.OtelWrite` **application** permission (with admin - consent). See [`MIGRATION_A365.md`](../../../MIGRATION_A365.md) → - "Troubleshooting — Permissions and Setup". - -## Setup - -Set the required environment variables in your shell before running the sample. -The environment variable reference below lists the required values. - -The S2S credentials are validated at startup, so all four -`CONNECTIONS__SERVICE_CONNECTION__SETTINGS__*` / `A365_AGENT_APP_INSTANCE_ID` -values must be set even when `ENABLE_A365_OBSERVABILITY_EXPORTER=false`. Set it -to `true` once you have real credentials to export to A365. +- A Blueprint app registration granted the + `Agent365.Observability.OtelWrite` **application** permission with admin + consent. See [`MIGRATION_A365.md`](../../../MIGRATION_A365.md) under + "Troubleshooting - Permissions and Setup". +- Real tenant, agent Blueprint, agent app instance client ID, and human caller + values from the deployment being validated. Angle-bracket placeholders are + rejected at startup. + +## Configure and run + +PowerShell: + +```powershell +$env:ENABLE_OBSERVABILITY = "true" +$env:ENABLE_A365_OBSERVABILITY_EXPORTER = "true" +$env:CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID = "" +$env:CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET = "" +$env:CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID = "" +$env:A365_AGENT_APP_INSTANCE_ID = "" +$env:A365_AGENT_BLUEPRINT_ID = "" +$env:A365_CALLER_USER_ID = "" +$env:A365_CALLER_USER_EMAIL = "" +$env:A365_CALLER_CLIENT_IP = "" + +uv run --with msal python samples\a365\s2s\s2s_exporter.py +``` -## Run +Bash: ```bash +export ENABLE_OBSERVABILITY=true +export ENABLE_A365_OBSERVABILITY_EXPORTER=true +export CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID="" +export CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET="" +export CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID="" +export A365_AGENT_APP_INSTANCE_ID="" +export A365_AGENT_BLUEPRINT_ID="" +export A365_CALLER_USER_ID="" +export A365_CALLER_USER_EMAIL="" +export A365_CALLER_CLIENT_IP="" + uv run --with msal python samples/a365/s2s/s2s_exporter.py ``` -The sample enables DEBUG logging for the A365 exporter, so when -`ENABLE_A365_OBSERVABILITY_EXPORTER=true` you'll see the export result on -stderr, for example: - +`a365_use_s2s_endpoint=True` routes exports to the S2S ingest endpoint. The +tenant and agent ID in each export request must match the configured tenant and +agent app instance client ID; the resolver rejects mismatches before token +acquisition. `gen_ai.agent.id` and the `{agentId}` export URL segment therefore +use `A365_AGENT_APP_INSTANCE_ID`, not the Blueprint client ID. + +## Scope and Store-validation coverage + +| Scope | Sample behavior | Store validation | +| --- | --- | --- | +| `InvokeAgentScope` | Root request, agent/Blueprint/caller identity, endpoint, input, and final output | Required | +| `InferenceScope` | Model/provider, messages, token usage, and finish reason | Required | +| `ExecuteToolScope` | Tool identity, arguments, and result | Required | +| `OutputScope` | Child span representing asynchronous/final output | Validate before publishing | +| `ApplyGuardrailScope` | Input-safety decision and finding event | Additional security telemetry | + +The sample populates the publishing attributes documented in +[Validate for Store publishing](https://learn.microsoft.com/en-us/microsoft-agent-365/developer/observability?tabs=python#validate-for-store-publishing), +including the tenant, agent, Blueprint, human caller, client address, channel, +conversation, operation, message, endpoint, model, and tool fields applicable +to each span. Human caller identity uses the standard `user.id` and +`user.email` attributes. S2S agentic-user attributes +`microsoft.agent.user.id` and `microsoft.agent.user.email` are intentionally +absent. + +## Verify export + +The sample enables DEBUG logging for the A365 exporter. A successful run reports +the HTTP status and correlation ID on stderr: + +```text +DEBUG ...agent365_exporter: HTTP 200 success on attempt 1. Correlation ID: . Response: ... ``` -DEBUG ...agent365_exporter: HTTP 200 success on attempt 1. Correlation ID: . Response: {... "status":"sent" ...} -``` - -A non-2xx status (e.g. `HTTP 403`) is logged as an error with the same -correlation ID, which you can use when contacting support. - -## Environment variables -| Variable | Description | -| --- | --- | -| `ENABLE_OBSERVABILITY` | Required (`true`) for the A365 scope classes to emit spans. | -| `ENABLE_A365_OBSERVABILITY_EXPORTER` | `true` to send telemetry to the A365 endpoint; `false` still creates spans but skips export. Credentials are required either way. | -| `CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID` | Blueprint app registration client ID. | -| `CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET` | Blueprint app registration client secret. | -| `CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID` | Entra tenant ID. Also used as the exported `AgentDetails.tenant_id`. | -| `A365_AGENT_APP_INSTANCE_ID` | Agent app instance ID used in the `fmi_path` exchange. Falls back to the exported agent ID when `A365_AGENT_ID` is unset. | -| `A365_AGENT_ID` | Optional. Agent ID telemetry is exported for; must match an onboarded agent. Defaults to `A365_AGENT_APP_INSTANCE_ID`. | +HTTP 401 usually indicates an invalid token audience or tenant. HTTP 403 +usually indicates missing `Agent365.Observability.OtelWrite` application +permission, missing admin consent, or an agent/Blueprint identity that is not +onboarded for the tenant. Use the logged correlation ID when investigating +either response. diff --git a/samples/a365/s2s/s2s_exporter.py b/samples/a365/s2s/s2s_exporter.py index 4b9296e3..90ef37b4 100644 --- a/samples/a365/s2s/s2s_exporter.py +++ b/samples/a365/s2s/s2s_exporter.py @@ -32,7 +32,10 @@ CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET= CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID= A365_AGENT_APP_INSTANCE_ID= - A365_AGENT_ID= Optional; defaults to the instance ID + A365_AGENT_BLUEPRINT_ID= + A365_CALLER_USER_ID= + A365_CALLER_USER_EMAIL= + A365_CALLER_CLIENT_IP= The tenant ID and agent ID also populate ``AgentDetails`` and drive the export URL, so they must match an onboarded agent for the endpoint to accept telemetry. @@ -51,9 +54,17 @@ from microsoft.opentelemetry import use_microsoft_opentelemetry from microsoft.opentelemetry.a365.core import ( AgentDetails, + ApplyGuardrailScope, BaggageBuilder, + CallerDetails, + Channel, ChatMessage, ExecuteToolScope, + GuardrailDecisionType, + GuardrailDetails, + GuardrailFinding, + GuardrailRiskSeverity, + GuardrailTargetType, InferenceCallDetails, InferenceOperationType, InferenceScope, @@ -61,13 +72,17 @@ InvokeAgentScope, InvokeAgentScopeDetails, MessageRole, + OutputScope, OutputMessage, OutputMessages, Request, + Response, ServiceEndpoint, + SpanDetails, TextPart, ToolCallDetails, ToolType, + UserDetails, ) # The A365 observability scope. For the S2S (app-only) client-credential flow, @@ -81,6 +96,10 @@ A365_SERVICE_CLIENT_SECRET_ENV = "CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET" A365_SERVICE_TENANT_ID_ENV = "CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID" A365_AGENT_APP_INSTANCE_ID_ENV = "A365_AGENT_APP_INSTANCE_ID" +A365_AGENT_BLUEPRINT_ID_ENV = "A365_AGENT_BLUEPRINT_ID" +A365_CALLER_USER_ID_ENV = "A365_CALLER_USER_ID" +A365_CALLER_USER_EMAIL_ENV = "A365_CALLER_USER_EMAIL" +A365_CALLER_CLIENT_IP_ENV = "A365_CALLER_CLIENT_IP" def _require_env(name: str) -> str: @@ -144,6 +163,12 @@ def resolve(agent_id: str, request_tenant_id: str) -> Optional[str]: f"does not match configured tenant {configured_tenant_id!r}." ) return None + if agent_id != instance_id: + print( + f"S2S token acquisition failed: request agent {agent_id!r} " + f"does not match configured agent instance {instance_id!r}." + ) + return None authority = f"https://login.microsoftonline.com/{request_tenant_id}" with lock: @@ -229,73 +254,43 @@ def _configure_export_logging() -> None: exporter_logger.addHandler(handler) -def main(): - # Show the A365 exporter's HTTP status / correlation id (DEBUG-level). - _configure_export_logging() - - # ------------------------------------------------------------------ # - # 1. Configure telemetry with the S2S endpoint + S2S token resolver - # ------------------------------------------------------------------ # - use_microsoft_opentelemetry( - enable_a365=True, - a365_use_s2s_endpoint=True, - a365_token_resolver=build_s2s_token_resolver(), - ) - print("Telemetry configured for S2S export.\n") - - # ------------------------------------------------------------------ # - # 2. Define the agent identity from the real values in the environment. - # In S2S there is no agentic user, so no UserDetails / CallerDetails. - # The tenant ID and agent ID drive the export URL, so they must match - # the onboarded agent for the A365 endpoint to accept the telemetry. - # ------------------------------------------------------------------ # - real_tenant_id = _require_env(A365_SERVICE_TENANT_ID_ENV) - # A365_AGENT_ID is optional; fall back to the (validated) instance ID. - agent_id_override = os.environ.get("A365_AGENT_ID", "").strip() - if agent_id_override.startswith("<") and agent_id_override.endswith(">"): - agent_id_override = "" - real_agent_id = agent_id_override or _require_env(A365_AGENT_APP_INSTANCE_ID_ENV) - - agent = AgentDetails( - agent_id=real_agent_id, - agent_name="Weather Agent", - agent_description="Answers weather-related questions", - tenant_id=real_tenant_id, - provider_name="openai", - ) - - # ------------------------------------------------------------------ # - # 3. Build per-request baggage (no user identity in S2S) - # ------------------------------------------------------------------ # +def _emit_sample_telemetry( + agent_details: AgentDetails, + user_details: UserDetails, + request: Request, +) -> str: + """Emit deterministic Store-validation telemetry without network calls.""" + user_question = request.content + final_answer = "It's currently 62°F and partly cloudy in Seattle." + invoke_context = None baggage = ( BaggageBuilder() - .tenant_id(agent.tenant_id) - .agent_id(agent.agent_id) - .channel_name("service") - .session_id("session-s2s-123") - .conversation_id("conv-s2s-789") + .tenant_id(agent_details.tenant_id) + .agent_id(agent_details.agent_id) + .agent_blueprint_id(agent_details.agent_blueprint_id) + .agent_name(agent_details.agent_name) + .agent_description(agent_details.agent_description) + .agent_version(agent_details.agent_version) + .user_id(user_details.user_id) + .user_email(user_details.user_email) + .user_name(user_details.user_name) + .user_client_ip(user_details.user_client_ip) + .channel_name(request.channel.name if request.channel else None) + .channel_links(request.channel.link if request.channel else None) + .session_id(request.session_id) + .conversation_id(request.conversation_id) + .invoke_agent_server("weather-agent.contoso.com", 8443) ) with baggage.build(): - user_question = "What's the weather in Seattle?" - - request = Request( - content=user_question, - session_id="session-s2s-123", - conversation_id="conv-s2s-789", - ) - - # -------------------------------------------------------------- # - # 4. InvokeAgentScope — top-level agent invocation (no caller) - # -------------------------------------------------------------- # with InvokeAgentScope.start( request=request, scope_details=InvokeAgentScopeDetails( - endpoint=ServiceEndpoint(hostname="weather-agent.contoso.com", port=443), + endpoint=ServiceEndpoint(hostname="weather-agent.contoso.com", port=8443), ), - agent_details=agent, + agent_details=agent_details, + caller_details=CallerDetails(user_details=user_details), ) as invoke_scope: - invoke_scope.record_input_messages( InputMessages( messages=[ @@ -307,20 +302,50 @@ def main(): ) ) - # ---------------------------------------------------------- # - # 5. InferenceScope — LLM call to decide on tool use - # ---------------------------------------------------------- # + with ApplyGuardrailScope.start( + details=GuardrailDetails( + target_type=GuardrailTargetType.LLM_INPUT, + decision_type=GuardrailDecisionType.ALLOW, + guardian_name="Sample Content Safety", + guardian_id="sample-content-safety", + guardian_provider_name="contoso.security", + guardian_version="1.0", + target_id="prompt-123", + decision_reason="No unsafe content detected", + decision_code="allowed", + policy_id="policy-123", + policy_name="Default Prompt Safety", + policy_version="1.0", + content_modified=False, + ), + agent_details=agent_details, + request=request, + user_details=user_details, + ) as guardrail_scope: + guardrail_scope.record_content_input(user_question) + guardrail_scope.record_finding( + GuardrailFinding( + risk_category="unsafe_content", + risk_severity=GuardrailRiskSeverity.NONE, + risk_score=0.0, + policy_decision_type=GuardrailDecisionType.ALLOW, + policy_id="policy-123", + policy_name="Default Prompt Safety", + policy_version="1.0", + ) + ) + with InferenceScope.start( - request=Request(content=user_question), + request=request, details=InferenceCallDetails( operationName=InferenceOperationType.CHAT, model="gpt-4o", - providerName="openai", - endpoint=ServiceEndpoint(hostname="api.openai.com", port=443), + providerName="azure-openai", + endpoint=ServiceEndpoint(hostname="example.openai.azure.com", port=443), ), - agent_details=agent, + agent_details=agent_details, + user_details=user_details, ) as inference_scope: - inference_scope.record_input_messages( InputMessages( messages=[ @@ -335,9 +360,6 @@ def main(): ] ) ) - - time.sleep(0.05) - inference_scope.record_input_tokens(45) inference_scope.record_output_tokens(12) inference_scope.record_finish_reasons(["tool_call"]) @@ -353,62 +375,21 @@ def main(): ) ) - # ---------------------------------------------------------- # - # 6. ExecuteToolScope — call the weather tool - # ---------------------------------------------------------- # with ExecuteToolScope.start( - request=Request(content=user_question), + request=request, details=ToolCallDetails( tool_name="get_weather", arguments={"city": "Seattle", "units": "fahrenheit"}, - tool_call_id="call_abc123", + tool_call_id="call-123", description="Fetches current weather for a city", tool_type=ToolType.FUNCTION.value, - endpoint=ServiceEndpoint(hostname="weather-api.contoso.com"), + endpoint=ServiceEndpoint(hostname="weather-api.contoso.com", port=443), ), - agent_details=agent, + agent_details=agent_details, + user_details=user_details, ) as tool_scope: + tool_scope.record_response('{"temperature":62,"condition":"Partly cloudy"}') - time.sleep(0.02) - tool_result = '{"temperature": 62, "condition": "Partly cloudy"}' - tool_scope.record_response(tool_result) - - # ---------------------------------------------------------- # - # 7. Second InferenceScope — generate the final answer - # ---------------------------------------------------------- # - with InferenceScope.start( - request=Request(content=user_question), - details=InferenceCallDetails( - operationName=InferenceOperationType.CHAT, - model="gpt-4o", - providerName="openai", - inputTokens=80, - outputTokens=25, - finishReasons=["stop"], - endpoint=ServiceEndpoint(hostname="api.openai.com", port=443), - ), - agent_details=agent, - ) as inference_scope_2: - - time.sleep(0.05) - - final_answer = "It's currently 62°F and partly cloudy in Seattle." - - inference_scope_2.record_output_messages( - OutputMessages( - messages=[ - OutputMessage( - role=MessageRole.ASSISTANT, - parts=[TextPart(content=final_answer)], - finish_reason="stop", - ), - ] - ) - ) - - # ---------------------------------------------------------- # - # 8. Record the final response on the top-level scope - # ---------------------------------------------------------- # invoke_scope.record_output_messages( OutputMessages( messages=[ @@ -420,6 +401,53 @@ def main(): ] ) ) + invoke_context = invoke_scope.get_context() + + assert invoke_context is not None + with OutputScope.start( + request=request, + response=Response(messages=final_answer), + agent_details=agent_details, + user_details=user_details, + span_details=SpanDetails(parent_context=invoke_context), + ) as output_scope: + if request.channel: + output_scope.set_tag_maybe("microsoft.channel.name", request.channel.name) + + return final_answer + + +def main(): + _configure_export_logging() + use_microsoft_opentelemetry( + enable_a365=True, + a365_use_s2s_endpoint=True, + a365_token_resolver=build_s2s_token_resolver(), + ) + print("Telemetry configured for S2S export.\n") + + agent = AgentDetails( + agent_id=_require_env(A365_AGENT_APP_INSTANCE_ID_ENV), + agent_name="Weather Agent", + agent_description="Answers weather-related questions", + agent_blueprint_id=_require_env(A365_AGENT_BLUEPRINT_ID_ENV), + tenant_id=_require_env(A365_SERVICE_TENANT_ID_ENV), + provider_name="azure-openai", + agent_version="1.0.0", + ) + user = UserDetails( + user_id=_require_env(A365_CALLER_USER_ID_ENV), + user_email=_require_env(A365_CALLER_USER_EMAIL_ENV), + user_name="Sample Caller", + user_client_ip=_require_env(A365_CALLER_CLIENT_IP_ENV), + ) + request = Request( + content="What's the weather in Seattle?", + session_id="session-s2s-123", + channel=Channel(name="service", link="https://contoso.example/a365-s2s"), + conversation_id="conv-s2s-789", + ) + _emit_sample_telemetry(agent, user, request) print( "\nDone. All spans have been recorded. They are flushed to the A365 " diff --git a/tests/a365/test_s2s_sample.py b/tests/a365/test_s2s_sample.py new file mode 100644 index 00000000..dccf3e40 --- /dev/null +++ b/tests/a365/test_s2s_sample.py @@ -0,0 +1,233 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + +import importlib.util +import logging +import sys +from pathlib import Path +from unittest.mock import MagicMock + +import pytest +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter + +from microsoft.opentelemetry.a365.core import AgentDetails, Channel, Request, UserDetails +from microsoft.opentelemetry.a365.core.constants import SOURCE_NAME +from microsoft.opentelemetry.a365.core.exporters.enriching_span_processor import ( + _EnrichingBatchSpanProcessor, +) +from microsoft.opentelemetry.a365.core.opentelemetry_scope import OpenTelemetryScope + +SAMPLE_PATH = Path(__file__).parents[2] / "samples" / "a365" / "s2s" / "s2s_exporter.py" +SPEC = importlib.util.spec_from_file_location("a365_s2s_exporter_sample", SAMPLE_PATH) +assert SPEC is not None and SPEC.loader is not None +s2s_exporter = importlib.util.module_from_spec(SPEC) +SPEC.loader.exec_module(s2s_exporter) + +COMMON_REQUIRED = { + "microsoft.a365.agent.blueprint.id", + "gen_ai.agent.id", + "gen_ai.agent.name", + "client.address", + "user.id", + "user.email", + "microsoft.channel.name", + "gen_ai.conversation.id", + "gen_ai.operation.name", + "microsoft.tenant.id", +} +INVOKE_REQUIRED = COMMON_REQUIRED | { + "gen_ai.input.messages", + "gen_ai.output.messages", + "server.address", + "server.port", +} +INFERENCE_REQUIRED = COMMON_REQUIRED | { + "gen_ai.input.messages", + "gen_ai.output.messages", + "gen_ai.provider.name", + "gen_ai.request.model", +} +TOOL_REQUIRED = COMMON_REQUIRED | { + "gen_ai.tool.call.arguments", + "gen_ai.tool.call.id", + "gen_ai.tool.call.result", + "gen_ai.tool.name", + "gen_ai.tool.type", +} +OUTPUT_REQUIRED = COMMON_REQUIRED | {"gen_ai.output.messages"} +GUARDRAIL_REQUIRED = COMMON_REQUIRED + +S2S_ENV = { + s2s_exporter.A365_SERVICE_CLIENT_ID_ENV: "blueprint-client-id", + s2s_exporter.A365_SERVICE_CLIENT_SECRET_ENV: "secret", + s2s_exporter.A365_SERVICE_TENANT_ID_ENV: "tenant-123", + s2s_exporter.A365_AGENT_APP_INSTANCE_ID_ENV: "instance-123", +} + + +@pytest.fixture +def captured_spans(monkeypatch): + monkeypatch.setenv("ENABLE_OBSERVABILITY", "true") + exporter = InMemorySpanExporter() + provider = TracerProvider() + processor = _EnrichingBatchSpanProcessor( + exporter, + max_queue_size=64, + schedule_delay_millis=60_000, + max_export_batch_size=64, + ) + provider.add_span_processor(processor) + OpenTelemetryScope._tracer = provider.get_tracer(SOURCE_NAME) + + yield exporter, provider + + provider.shutdown() + OpenTelemetryScope._tracer = None + + +def _sample_inputs(): + agent = AgentDetails( + agent_id="agent-123", + agent_name="Weather Agent", + agent_description="Answers weather questions", + agent_blueprint_id="blueprint-123", + tenant_id="tenant-123", + provider_name="azure-openai", + agent_version="1.0.0", + ) + user = UserDetails( + user_id="user-123", + user_email="user@contoso.com", + user_name="Sample User", + user_client_ip="203.0.113.10", + ) + request = Request( + content="What's the weather in Seattle?", + session_id="session-123", + channel=Channel(name="service", link="https://contoso.example/channel"), + conversation_id="conversation-123", + ) + return agent, user, request + + +def test_sample_emits_store_required_attributes(captured_spans): + exporter, provider = captured_spans + agent, user, request = _sample_inputs() + + result = s2s_exporter._emit_sample_telemetry(agent, user, request) + assert result == "It's currently 62°F and partly cloudy in Seattle." + assert provider.force_flush() + + spans = exporter.get_finished_spans() + by_operation = { + span.attributes["gen_ai.operation.name"]: span + for span in spans + if "gen_ai.operation.name" in span.attributes + } + assert { + "invoke_agent", + "apply_guardrail", + "Chat", + "execute_tool", + "output_messages", + }.issubset(by_operation) + + required_by_operation = { + "invoke_agent": INVOKE_REQUIRED, + "apply_guardrail": GUARDRAIL_REQUIRED, + "Chat": INFERENCE_REQUIRED, + "execute_tool": TOOL_REQUIRED, + "output_messages": OUTPUT_REQUIRED, + } + for operation, required in required_by_operation.items(): + attributes = dict(by_operation[operation].attributes) + assert required <= attributes.keys(), f"{operation} missing {required - attributes.keys()}" + assert "microsoft.agent.user.id" not in attributes + assert "microsoft.agent.user.email" not in attributes + + +def test_sample_emits_guardrail_details_and_finding(captured_spans): + exporter, provider = captured_spans + agent, user, request = _sample_inputs() + + s2s_exporter._emit_sample_telemetry(agent, user, request) + assert provider.force_flush() + + guardrail = next( + span + for span in exporter.get_finished_spans() + if span.attributes.get("gen_ai.operation.name") == "apply_guardrail" + ) + assert guardrail.attributes["microsoft.security.target.type"] == "llm_input" + assert guardrail.attributes["microsoft.security.decision.type"] == "allow" + assert guardrail.attributes["microsoft.guardian.name"] == "Sample Content Safety" + assert [event.name for event in guardrail.events] == ["microsoft.security.finding"] + + +def test_token_resolver_rejects_tenant_mismatch(monkeypatch, capsys): + fake_msal = MagicMock() + monkeypatch.setitem(sys.modules, "msal", fake_msal) + for name, value in S2S_ENV.items(): + monkeypatch.setenv(name, value) + + resolver = s2s_exporter.build_s2s_token_resolver() + + assert resolver("agent-123", "different-tenant") is None + assert "does not match configured tenant" in capsys.readouterr().out + fake_msal.ConfidentialClientApplication.assert_not_called() + + +def test_token_resolver_rejects_agent_mismatch(monkeypatch, capsys): + fake_msal = MagicMock() + monkeypatch.setitem(sys.modules, "msal", fake_msal) + for name, value in S2S_ENV.items(): + monkeypatch.setenv(name, value) + + resolver = s2s_exporter.build_s2s_token_resolver() + + assert resolver("different-agent", "tenant-123") is None + assert "does not match configured agent instance" in capsys.readouterr().out + fake_msal.ConfidentialClientApplication.assert_not_called() + + +def test_token_resolver_caches_by_tenant_and_agent(monkeypatch): + first_app = MagicMock() + first_app.acquire_token_for_client.return_value = {"access_token": "agent-token"} + second_app = MagicMock() + second_app.acquire_token_for_client.return_value = { + "access_token": "observability-token", + "expires_in": 3600, + } + fake_msal = MagicMock() + fake_msal.ConfidentialClientApplication.side_effect = [first_app, second_app] + monkeypatch.setitem(sys.modules, "msal", fake_msal) + for name, value in S2S_ENV.items(): + monkeypatch.setenv(name, value) + + resolver = s2s_exporter.build_s2s_token_resolver() + + assert resolver("instance-123", "tenant-123") == "observability-token" + assert resolver("instance-123", "tenant-123") == "observability-token" + assert fake_msal.ConfidentialClientApplication.call_count == 2 + + +def test_configure_export_logging_adds_one_named_handler(): + logger = logging.getLogger("microsoft.opentelemetry.a365.core.exporters.agent365_exporter") + original_handlers = list(logger.handlers) + original_propagate = logger.propagate + try: + logger.handlers = [] + s2s_exporter._configure_export_logging() + s2s_exporter._configure_export_logging() + + matching = [ + handler + for handler in logger.handlers + if handler.name == "a365-s2s-sample-export-logging" + ] + assert len(matching) == 1 + assert logger.propagate is False + finally: + logger.handlers = original_handlers + logger.propagate = original_propagate From 94424045e8652af49ae2471488748f8e6b197b43 Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Fri, 25 Sep 2026 15:03:10 -0600 Subject: [PATCH 14/15] Remove implementation planning artifacts Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../2026-09-25-a365-s2s-store-validation.md | 881 ------------------ ...-09-25-a365-s2s-store-validation-design.md | 138 --- 2 files changed, 1019 deletions(-) delete mode 100644 docs/superpowers/plans/2026-09-25-a365-s2s-store-validation.md delete mode 100644 docs/superpowers/specs/2026-09-25-a365-s2s-store-validation-design.md diff --git a/docs/superpowers/plans/2026-09-25-a365-s2s-store-validation.md b/docs/superpowers/plans/2026-09-25-a365-s2s-store-validation.md deleted file mode 100644 index 7720cd04..00000000 --- a/docs/superpowers/plans/2026-09-25-a365-s2s-store-validation.md +++ /dev/null @@ -1,881 +0,0 @@ -# A365 S2S Store Validation Implementation Plan - -> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. - -**Goal:** Update PR #217 so the A365 S2S sample is current with `main`, demonstrates all public observability scopes, and proves the Microsoft Learn Store-required telemetry attributes are emitted. - -**Architecture:** Keep one runnable sample module under `samples/a365/s2s/`, but separate configuration/token acquisition from a deterministic `_emit_sample_telemetry` function that tests can execute without network access. Use the existing A365 scope classes and enriching span processor so the test validates final exported span attributes, including baggage propagation. - -**Tech Stack:** Python 3.10+, Microsoft OpenTelemetry distro, OpenTelemetry SDK in-memory exporter, MSAL, pytest, uv, Black, Pylint, Mypy. - -## Global Constraints - -- Merge `origin/main` into `nikhilc/add-a365-s2s-sample`; do not rebase or rewrite PR history. -- Preserve current `main` dependency metadata and root `uv.lock`; do not restore the obsolete `openai<2.45.0` constraint. -- Remove `samples/a365/s2s/.env.example`, `samples/a365/s2s/pyproject.toml`, and `samples/a365/s2s/uv.lock`. -- Keep the sample under `samples/a365/s2s/`. -- Demonstrate `InvokeAgentScope`, `ApplyGuardrailScope`, `InferenceScope`, `ExecuteToolScope`, and `OutputScope`. -- Validate the Microsoft Learn Store attribute lists for invoke-agent, inference, execute-tool, and output spans. -- Do not require or emit `microsoft.agent.user.id` or `microsoft.agent.user.email` for the S2S flow. -- Require real tenant, agent, blueprint, and human caller identity values through environment variables. -- Preserve tenant mismatch rejection, tenant/agent token caching, and duplicate-handler protection. -- Do not refactor unrelated A365 samples or change scope/exporter APIs. - ---- - -## File Structure - -- `samples/a365/s2s/s2s_exporter.py`: S2S environment validation, MSAL token resolver, exporter logging, deterministic sample telemetry, and CLI entry point. -- `samples/a365/s2s/README.md`: prerequisites, environment contract, run command, Store-validation scope/attribute coverage, and troubleshooting. -- `tests/a365/test_s2s_sample.py`: network-free tests for emitted scope coverage, Store-required attributes, S2S exemptions, guardrail events, token tenant validation, cache reuse, and logging idempotence. -- `README.md`: sample catalog link only. -- `docs/superpowers/specs/2026-09-25-a365-s2s-store-validation-design.md`: approved design, retained unchanged. - -### Task 1: Merge Current Main and Remove Obsolete PR Artifacts - -**Files:** -- Modify: `README.md` -- Modify: `pyproject.toml` -- Delete: `samples/a365/s2s/.env.example` -- Delete: `samples/a365/s2s/pyproject.toml` -- Delete: `samples/a365/s2s/uv.lock` - -**Interfaces:** -- Consumes: `origin/main` at the latest fetched commit and the existing PR branch. -- Produces: A conflict-free branch containing current scope APIs and only the S2S sample changes relevant to PR #217. - -- [ ] **Step 1: Fetch and merge current main** - -Run: - -```powershell -git fetch origin main -git merge --no-ff origin/main -``` - -Expected: Git reports conflicts in `README.md` and `pyproject.toml`; the merge remains in progress. - -- [ ] **Step 2: Resolve dependency metadata in favor of current main** - -Run: - -```powershell -git checkout --theirs pyproject.toml -git add pyproject.toml -``` - -Expected: `pyproject.toml` matches `origin/main`; the merge brings in the -current root `uv.lock`; no `openai<2.45.0` lines remain. - -- [ ] **Step 3: Resolve the sample catalog from current main** - -Run: - -```powershell -git checkout --theirs README.md -git add README.md -``` - -Expected: `README.md` contains the current `main` content. The S2S row will be re-added in Task 4. - -- [ ] **Step 4: Remove files rejected in review** - -Run: - -```powershell -git rm samples\a365\s2s\.env.example samples\a365\s2s\pyproject.toml samples\a365\s2s\uv.lock -git status --short -``` - -Expected: the three sample-local setup files are staged as deleted and no merge conflict markers remain. - -- [ ] **Step 5: Complete the merge commit** - -Run: - -```powershell -git commit -m "Merge main into A365 S2S sample" -m "Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>" -``` - -Expected: a merge commit is created and `git status --short` is clean. - -### Task 2: Add Failing Store-Contract Span Tests - -**Files:** -- Create: `tests/a365/test_s2s_sample.py` -- Test: `tests/a365/test_s2s_sample.py` - -**Interfaces:** -- Consumes: Existing `OpenTelemetryScope`, `_EnrichingBatchSpanProcessor`, and A365 semantic constants from current `main`. -- Produces: Test requirements for `s2s_exporter._emit_sample_telemetry(agent_details, user_details, request) -> str`. - -- [ ] **Step 1: Create the in-memory span capture fixture** - -Create `tests/a365/test_s2s_sample.py` with these imports and fixture: - -```python -import importlib.util -import os -import sys -from pathlib import Path -from unittest.mock import MagicMock, patch - -import pytest -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter - -from microsoft.opentelemetry.a365.core import AgentDetails, Channel, Request, UserDetails -from microsoft.opentelemetry.a365.core.constants import SOURCE_NAME -from microsoft.opentelemetry.a365.core.exporters.enriching_span_processor import ( - _EnrichingBatchSpanProcessor, -) -from microsoft.opentelemetry.a365.core.opentelemetry_scope import OpenTelemetryScope - - -SAMPLE_PATH = Path(__file__).parents[2] / "samples" / "a365" / "s2s" / "s2s_exporter.py" -SPEC = importlib.util.spec_from_file_location("a365_s2s_exporter_sample", SAMPLE_PATH) -assert SPEC is not None and SPEC.loader is not None -s2s_exporter = importlib.util.module_from_spec(SPEC) -SPEC.loader.exec_module(s2s_exporter) - - -@pytest.fixture -def captured_spans(monkeypatch): - monkeypatch.setenv("ENABLE_OBSERVABILITY", "true") - exporter = InMemorySpanExporter() - provider = TracerProvider() - processor = _EnrichingBatchSpanProcessor( - exporter, - max_queue_size=64, - schedule_delay_millis=60_000, - max_export_batch_size=64, - ) - provider.add_span_processor(processor) - OpenTelemetryScope._tracer = provider.get_tracer(SOURCE_NAME) - - yield exporter, provider - - provider.shutdown() - OpenTelemetryScope._tracer = None -``` - -- [ ] **Step 2: Define the required Store attributes and sample identities** - -Add: - -```python -INVOKE_REQUIRED = { - "microsoft.a365.agent.blueprint.id", - "gen_ai.agent.id", - "gen_ai.agent.name", - "client.address", - "user.id", - "user.email", - "microsoft.channel.name", - "gen_ai.conversation.id", - "gen_ai.input.messages", - "gen_ai.operation.name", - "gen_ai.output.messages", - "server.address", - "server.port", - "microsoft.tenant.id", -} -INFERENCE_REQUIRED = { - "microsoft.a365.agent.blueprint.id", - "gen_ai.agent.id", - "gen_ai.agent.name", - "client.address", - "user.id", - "user.email", - "microsoft.channel.name", - "gen_ai.conversation.id", - "gen_ai.input.messages", - "gen_ai.operation.name", - "gen_ai.output.messages", - "gen_ai.provider.name", - "gen_ai.request.model", - "microsoft.tenant.id", -} -TOOL_REQUIRED = { - "microsoft.a365.agent.blueprint.id", - "gen_ai.agent.id", - "gen_ai.agent.name", - "client.address", - "user.id", - "user.email", - "microsoft.channel.name", - "gen_ai.conversation.id", - "gen_ai.operation.name", - "gen_ai.tool.call.arguments", - "gen_ai.tool.call.id", - "gen_ai.tool.call.result", - "gen_ai.tool.name", - "gen_ai.tool.type", - "microsoft.tenant.id", -} -OUTPUT_REQUIRED = { - "microsoft.a365.agent.blueprint.id", - "gen_ai.agent.id", - "gen_ai.agent.name", - "client.address", - "user.id", - "user.email", - "microsoft.channel.name", - "gen_ai.conversation.id", - "gen_ai.operation.name", - "gen_ai.output.messages", - "microsoft.tenant.id", -} - - -def _sample_inputs(): - agent = AgentDetails( - agent_id="agent-123", - agent_name="Weather Agent", - agent_description="Answers weather questions", - agent_blueprint_id="blueprint-123", - tenant_id="tenant-123", - provider_name="azure-openai", - agent_version="1.0.0", - ) - user = UserDetails( - user_id="user-123", - user_email="user@contoso.com", - user_name="Sample User", - user_client_ip="203.0.113.10", - ) - request = Request( - content="What is the weather in Seattle?", - session_id="session-123", - channel=Channel(name="service", link="https://contoso.example/channel"), - conversation_id="conversation-123", - ) - return agent, user, request -``` - -- [ ] **Step 3: Write the failing Store-attribute test** - -Add: - -```python -def test_sample_emits_store_required_attributes(captured_spans): - exporter, provider = captured_spans - agent, user, request = _sample_inputs() - - result = s2s_exporter._emit_sample_telemetry(agent, user, request) - assert result == "It's currently 62°F and partly cloudy in Seattle." - assert provider.force_flush() - - spans = exporter.get_finished_spans() - by_operation = { - span.attributes["gen_ai.operation.name"]: span - for span in spans - if "gen_ai.operation.name" in span.attributes - } - assert { - "invoke_agent", - "apply_guardrail", - "chat", - "execute_tool", - "output_messages", - }.issubset(by_operation) - - required_by_operation = { - "invoke_agent": INVOKE_REQUIRED, - "chat": INFERENCE_REQUIRED, - "execute_tool": TOOL_REQUIRED, - "output_messages": OUTPUT_REQUIRED, - } - for operation, required in required_by_operation.items(): - attributes = dict(by_operation[operation].attributes) - assert required <= attributes.keys(), f"{operation} missing {required - attributes.keys()}" - assert "microsoft.agent.user.id" not in attributes - assert "microsoft.agent.user.email" not in attributes -``` - -- [ ] **Step 4: Write the failing guardrail event test** - -Add: - -```python -def test_sample_emits_guardrail_details_and_finding(captured_spans): - exporter, provider = captured_spans - agent, user, request = _sample_inputs() - - s2s_exporter._emit_sample_telemetry(agent, user, request) - assert provider.force_flush() - - guardrail = next( - span - for span in exporter.get_finished_spans() - if span.attributes.get("gen_ai.operation.name") == "apply_guardrail" - ) - assert guardrail.attributes["gen_ai.security.target.type"] == "llm_input" - assert guardrail.attributes["gen_ai.security.decision.type"] == "allow" - assert guardrail.attributes["gen_ai.guardian.name"] == "Sample Content Safety" - assert [event.name for event in guardrail.events] == ["microsoft.security.finding"] -``` - -- [ ] **Step 5: Run tests and verify they fail for the missing helper** - -Run: - -```powershell -uv run pytest tests\a365\test_s2s_sample.py -q -``` - -Expected: FAIL because `s2s_exporter.py` does not define `_emit_sample_telemetry` and does not emit guardrail/output scopes. - -- [ ] **Step 6: Commit the failing tests** - -Run: - -```powershell -git add tests\a365\test_s2s_sample.py -git commit -m "test: define A365 S2S store telemetry contract" -m "Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>" -``` - -Expected: one test-only commit. - -### Task 3: Implement All Scopes and Required Store Attributes - -**Files:** -- Modify: `samples/a365/s2s/s2s_exporter.py` -- Test: `tests/a365/test_s2s_sample.py` - -**Interfaces:** -- Consumes: `AgentDetails`, `UserDetails`, and `Request`. -- Produces: `_emit_sample_telemetry(agent_details: AgentDetails, user_details: UserDetails, request: Request) -> str`. - -- [ ] **Step 1: Replace dotenv configuration with explicit environment names** - -Remove `python-dotenv`, `load_dotenv`, and the `load_dotenv()` call. Add: - -```python -A365_AGENT_ID_ENV = "A365_AGENT_ID" -A365_AGENT_BLUEPRINT_ID_ENV = "A365_AGENT_BLUEPRINT_ID" -A365_CALLER_USER_ID_ENV = "A365_CALLER_USER_ID" -A365_CALLER_USER_EMAIL_ENV = "A365_CALLER_USER_EMAIL" -A365_CALLER_CLIENT_IP_ENV = "A365_CALLER_CLIENT_IP" -``` - -Change `_require_env` to: - -```python -def _require_env(name: str) -> str: - value = os.environ.get(name, "").strip() - if not value or (value.startswith("<") and value.endswith(">")): - raise SystemExit(f"Environment variable {name} is not set. See samples/a365/s2s/README.md.") - return value -``` - -- [ ] **Step 2: Import all current scope and model types** - -Extend the A365 imports with: - -```python -ApplyGuardrailScope, -CallerDetails, -Channel, -GuardrailDecisionType, -GuardrailDetails, -GuardrailFinding, -GuardrailRiskSeverity, -GuardrailTargetType, -OutputScope, -Response, -SpanDetails, -UserDetails, -``` - -- [ ] **Step 3: Add the deterministic telemetry function** - -Add this function before `main()`: - -```python -def _emit_sample_telemetry( - agent_details: AgentDetails, - user_details: UserDetails, - request: Request, -) -> str: - user_question = "What's the weather in Seattle?" - final_answer = "It's currently 62°F and partly cloudy in Seattle." - invoke_context = None - - baggage = ( - BaggageBuilder() - .tenant_id(agent_details.tenant_id) - .agent_id(agent_details.agent_id) - .agent_blueprint_id(agent_details.agent_blueprint_id) - .agent_name(agent_details.agent_name) - .agent_description(agent_details.agent_description) - .agent_version(agent_details.agent_version) - .user_id(user_details.user_id) - .user_email(user_details.user_email) - .user_name(user_details.user_name) - .user_client_ip(user_details.user_client_ip) - .channel_name(request.channel.name if request.channel else None) - .channel_links(request.channel.link if request.channel else None) - .session_id(request.session_id) - .conversation_id(request.conversation_id) - .invoke_agent_server("weather-agent.contoso.com", 8443) - ) - - with baggage.build(): - with InvokeAgentScope.start( - request=request, - scope_details=InvokeAgentScopeDetails( - endpoint=ServiceEndpoint(hostname="weather-agent.contoso.com", port=8443), - ), - agent_details=agent_details, - caller_details=CallerDetails(user_details=user_details), - ) as invoke_scope: - invoke_scope.record_input_messages( - InputMessages( - messages=[ - ChatMessage(role=MessageRole.USER, parts=[TextPart(content=user_question)]) - ] - ) - ) - - with ApplyGuardrailScope.start( - details=GuardrailDetails( - target_type=GuardrailTargetType.LLM_INPUT, - decision_type=GuardrailDecisionType.ALLOW, - guardian_name="Sample Content Safety", - guardian_id="sample-content-safety", - guardian_provider_name="contoso.security", - guardian_version="1.0", - target_id="prompt-123", - decision_reason="No unsafe content detected", - decision_code="allowed", - policy_id="policy-123", - policy_name="Default Prompt Safety", - policy_version="1.0", - content_modified=False, - ), - agent_details=agent_details, - request=request, - user_details=user_details, - ) as guardrail_scope: - guardrail_scope.record_content_input(user_question) - guardrail_scope.record_finding( - GuardrailFinding( - risk_category="unsafe_content", - risk_severity=GuardrailRiskSeverity.NONE, - risk_score=0.0, - policy_decision_type=GuardrailDecisionType.ALLOW, - policy_id="policy-123", - policy_name="Default Prompt Safety", - policy_version="1.0", - ) - ) - - with InferenceScope.start( - request=request, - details=InferenceCallDetails( - operationName=InferenceOperationType.CHAT, - model="gpt-4o", - providerName="azure-openai", - endpoint=ServiceEndpoint(hostname="example.openai.azure.com", port=443), - ), - agent_details=agent_details, - user_details=user_details, - ) as inference_scope: - inference_scope.record_input_messages( - InputMessages( - messages=[ - ChatMessage( - role=MessageRole.SYSTEM, - parts=[TextPart(content="You are a helpful weather assistant.")], - ), - ChatMessage(role=MessageRole.USER, parts=[TextPart(content=user_question)]), - ] - ) - ) - inference_scope.record_input_tokens(45) - inference_scope.record_output_tokens(12) - inference_scope.record_finish_reasons(["tool_call"]) - inference_scope.record_output_messages( - OutputMessages( - messages=[ - OutputMessage( - role=MessageRole.ASSISTANT, - parts=[TextPart(content="I'll look up the weather for Seattle.")], - finish_reason="tool_call", - ) - ] - ) - ) - - with ExecuteToolScope.start( - request=request, - details=ToolCallDetails( - tool_name="get_weather", - arguments={"city": "Seattle", "units": "fahrenheit"}, - tool_call_id="call-123", - description="Fetches current weather for a city", - tool_type=ToolType.FUNCTION.value, - endpoint=ServiceEndpoint(hostname="weather-api.contoso.com", port=443), - ), - agent_details=agent_details, - user_details=user_details, - ) as tool_scope: - tool_scope.record_response('{"temperature":62,"condition":"Partly cloudy"}') - - invoke_scope.record_output_messages( - OutputMessages( - messages=[ - OutputMessage( - role=MessageRole.ASSISTANT, - parts=[TextPart(content=final_answer)], - finish_reason="stop", - ) - ] - ) - ) - invoke_context = invoke_scope.get_context() - - assert invoke_context is not None - with OutputScope.start( - request=request, - response=Response(messages=final_answer), - agent_details=agent_details, - user_details=user_details, - span_details=SpanDetails(parent_context=invoke_context), - ): - pass - - return final_answer -``` - -- [ ] **Step 4: Build real identities in `main()`** - -Replace the old optional agent-ID fallback and inline scope body with: - -```python -tenant_id = _require_env(A365_SERVICE_TENANT_ID_ENV) -agent = AgentDetails( - agent_id=_require_env(A365_AGENT_ID_ENV), - agent_name="Weather Agent", - agent_description="Answers weather-related questions", - agent_blueprint_id=_require_env(A365_AGENT_BLUEPRINT_ID_ENV), - tenant_id=tenant_id, - provider_name="azure-openai", - agent_version="1.0.0", -) -user = UserDetails( - user_id=_require_env(A365_CALLER_USER_ID_ENV), - user_email=_require_env(A365_CALLER_USER_EMAIL_ENV), - user_name="Sample Caller", - user_client_ip=_require_env(A365_CALLER_CLIENT_IP_ENV), -) -request = Request( - content="What's the weather in Seattle?", - session_id="session-s2s-123", - channel=Channel(name="service", link="https://contoso.example/a365-s2s"), - conversation_id="conv-s2s-789", -) -_emit_sample_telemetry(agent, user, request) -``` - -Do not set `agentic_user_id` or `agentic_user_email`. - -- [ ] **Step 5: Run the Store-contract tests** - -Run: - -```powershell -uv run pytest tests\a365\test_s2s_sample.py -q -``` - -Expected: both span tests PASS. If the operation value for inference is normalized differently, inspect the emitted `gen_ai.operation.name` and update the test to the repository's actual semantic value rather than weakening the assertion. - -- [ ] **Step 6: Commit all-scope telemetry** - -Run: - -```powershell -git add samples\a365\s2s\s2s_exporter.py tests\a365\test_s2s_sample.py -git commit -m "Add store-ready telemetry to A365 S2S sample" -m "Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>" -``` - -Expected: implementation and passing Store-contract tests are committed together. - -### Task 4: Test Token Resolver and Logging Review Fixes - -**Files:** -- Modify: `tests/a365/test_s2s_sample.py` -- Test: `tests/a365/test_s2s_sample.py` - -**Interfaces:** -- Consumes: `build_s2s_token_resolver() -> Callable[[str, str], str | None]` and `_configure_export_logging() -> None`. -- Produces: Regression coverage for previously addressed PR comments. - -- [ ] **Step 1: Add an environment helper** - -Add: - -```python -S2S_ENV = { - s2s_exporter.A365_SERVICE_CLIENT_ID_ENV: "blueprint-client-id", - s2s_exporter.A365_SERVICE_CLIENT_SECRET_ENV: "secret", - s2s_exporter.A365_SERVICE_TENANT_ID_ENV: "tenant-123", - s2s_exporter.A365_AGENT_APP_INSTANCE_ID_ENV: "instance-123", -} -``` - -- [ ] **Step 2: Test tenant mismatch fails before MSAL acquisition** - -Add: - -```python -def test_token_resolver_rejects_tenant_mismatch(monkeypatch, capsys): - fake_msal = MagicMock() - monkeypatch.setitem(sys.modules, "msal", fake_msal) - for name, value in S2S_ENV.items(): - monkeypatch.setenv(name, value) - - resolver = s2s_exporter.build_s2s_token_resolver() - - assert resolver("agent-123", "different-tenant") is None - assert "does not match configured tenant" in capsys.readouterr().out - fake_msal.ConfidentialClientApplication.assert_not_called() -``` - -- [ ] **Step 3: Test successful token reuse** - -Add: - -```python -def test_token_resolver_caches_by_tenant_and_agent(monkeypatch): - first_app = MagicMock() - first_app.acquire_token_for_client.return_value = {"access_token": "agent-token"} - second_app = MagicMock() - second_app.acquire_token_for_client.return_value = { - "access_token": "observability-token", - "expires_in": 3600, - } - fake_msal = MagicMock() - fake_msal.ConfidentialClientApplication.side_effect = [first_app, second_app] - monkeypatch.setitem(sys.modules, "msal", fake_msal) - for name, value in S2S_ENV.items(): - monkeypatch.setenv(name, value) - - resolver = s2s_exporter.build_s2s_token_resolver() - - assert resolver("agent-123", "tenant-123") == "observability-token" - assert resolver("agent-123", "tenant-123") == "observability-token" - assert fake_msal.ConfidentialClientApplication.call_count == 2 -``` - -- [ ] **Step 4: Test exporter logging is idempotent** - -Add: - -```python -def test_configure_export_logging_adds_one_named_handler(): - logger = s2s_exporter.logging.getLogger( - "microsoft.opentelemetry.a365.core.exporters.agent365_exporter" - ) - original_handlers = list(logger.handlers) - original_propagate = logger.propagate - try: - logger.handlers = [] - s2s_exporter._configure_export_logging() - s2s_exporter._configure_export_logging() - - matching = [ - handler - for handler in logger.handlers - if handler.name == "a365-s2s-sample-export-logging" - ] - assert len(matching) == 1 - assert logger.propagate is False - finally: - logger.handlers = original_handlers - logger.propagate = original_propagate -``` - -- [ ] **Step 5: Run the regression tests** - -Run: - -```powershell -uv run pytest tests\a365\test_s2s_sample.py -q -``` - -Expected: all tests PASS. - -- [ ] **Step 6: Commit review-fix coverage** - -Run: - -```powershell -git add tests\a365\test_s2s_sample.py -git commit -m "Test A365 S2S resolver review fixes" -m "Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>" -``` - -Expected: one focused test commit. - -### Task 5: Document Setup and Store Validation - -**Files:** -- Modify: `samples/a365/s2s/README.md` -- Modify: `README.md` - -**Interfaces:** -- Consumes: The final environment constants and run path from `s2s_exporter.py`. -- Produces: Copy-pasteable PowerShell/Bash setup instructions without sample-local project files. - -- [ ] **Step 1: Replace sample-local setup instructions** - -Document these commands: - -```powershell -$env:ENABLE_OBSERVABILITY = "true" -$env:ENABLE_A365_OBSERVABILITY_EXPORTER = "true" -$env:CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID = "" -$env:CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET = "" -$env:CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID = "" -$env:A365_AGENT_APP_INSTANCE_ID = "" -$env:A365_AGENT_ID = "" -$env:A365_AGENT_BLUEPRINT_ID = "" -$env:A365_CALLER_USER_ID = "" -$env:A365_CALLER_USER_EMAIL = "" -$env:A365_CALLER_CLIENT_IP = "" - -uv run --with msal python samples\a365\s2s\s2s_exporter.py -``` - -Also provide equivalent Bash `export NAME=value` syntax. State that the values must be real deployment values and that angle-bracket placeholders are rejected. - -- [ ] **Step 2: Document scope and Store coverage** - -Add a table: - -```markdown -| Scope | Sample behavior | Store validation | -| --- | --- | --- | -| `InvokeAgentScope` | Root request, identity, endpoint, input, final output | Required | -| `InferenceScope` | Model/provider, messages, token usage, finish reason | Required | -| `ExecuteToolScope` | Tool identity, arguments, result | Required | -| `OutputScope` | Child span for asynchronous/final output | Validate before publishing | -| `ApplyGuardrailScope` | Input safety decision and finding event | Additional security telemetry | -``` - -Explicitly state that S2S does not populate `microsoft.agent.user.id` or `microsoft.agent.user.email`. - -- [ ] **Step 3: Preserve permission and diagnostics guidance** - -Keep: - -- `Agent365.Observability.OtelWrite` application permission with admin consent. -- `a365_use_s2s_endpoint=True`. -- Expected HTTP success/correlation-ID logging. -- HTTP 401/403 troubleshooting. -- Link to the Microsoft Learn Store-validation section. - -- [ ] **Step 4: Re-add the root sample catalog row** - -Under the A365 sample rows in `README.md`, add: - -```markdown -| [samples/a365/s2s/s2s_exporter.py](https://github.com/microsoft/opentelemetry-distro-python/blob/main/samples/a365/s2s/s2s_exporter.py) | A365 | Store-ready S2S export with all manual observability scopes | -``` - -- [ ] **Step 5: Commit documentation** - -Run: - -```powershell -git add README.md samples\a365\s2s\README.md -git commit -m "Document A365 S2S store validation setup" -m "Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>" -``` - -Expected: sample setup no longer references `.env.example`, a local `pyproject.toml`, or local `uv.lock`. - -### Task 6: Run Final Validation and Update the PR - -**Files:** -- Verify: `samples/a365/s2s/s2s_exporter.py` -- Verify: `samples/a365/s2s/README.md` -- Verify: `tests/a365/test_s2s_sample.py` -- Verify: `README.md` - -**Interfaces:** -- Consumes: Completed branch. -- Produces: A pushed PR branch with resolved review feedback and passing checks. - -- [ ] **Step 1: Format the changed Python files** - -Run: - -```powershell -uv run black --check samples\a365\s2s\s2s_exporter.py tests\a365\test_s2s_sample.py -``` - -Expected: `2 files would be left unchanged`. - -- [ ] **Step 2: Run targeted tests** - -Run: - -```powershell -uv run pytest tests\a365\test_s2s_sample.py tests\a365\test_apply_guardrail_scope.py tests\a365\test_invoke_agent_scope.py -q -``` - -Expected: all selected tests PASS. - -- [ ] **Step 3: Run targeted static analysis** - -Run: - -```powershell -uv run pylint samples\a365\s2s\s2s_exporter.py tests\a365\test_s2s_sample.py -uv run mypy samples\a365\s2s\s2s_exporter.py -``` - -Expected: Pylint exits 0 and Mypy reports `Success: no issues found`. - -- [ ] **Step 4: Verify review cleanup and diff scope** - -Run: - -```powershell -git status --short -git diff --check origin/main...HEAD -git diff --name-status origin/main...HEAD -rg -n "dotenv|\.env\.example|samples/a365/s2s/pyproject|openai<2\.45" README.md pyproject.toml samples\a365\s2s tests\a365\test_s2s_sample.py -``` - -Expected: - -- Working tree clean. -- `git diff --check` prints nothing. -- The rejected sample-local files are absent. -- No obsolete OpenAI cap or dotenv setup remains. - -- [ ] **Step 5: Push the PR branch** - -Run: - -```powershell -git push fork nikhilc/add-a365-s2s-sample -``` - -Expected: the branch updates successfully and PR #217 is no longer behind `main`. - -- [ ] **Step 6: Reply to review threads** - -Use `gh api` to reply to the outstanding review thread that requested removal of `.env.example`, sample `pyproject.toml`, and `uv.lock`, stating that the files were removed and prerequisites moved to the README. Do not resolve threads owned by another reviewer unless the API permits the PR author to do so. - -- [ ] **Step 7: Verify PR checks start** - -Run: - -```powershell -gh pr checks 217 --repo microsoft/opentelemetry-distro-python -``` - -Expected: checks are queued/in progress or passing on the newly pushed head. diff --git a/docs/superpowers/specs/2026-09-25-a365-s2s-store-validation-design.md b/docs/superpowers/specs/2026-09-25-a365-s2s-store-validation-design.md deleted file mode 100644 index 4b54f3fc..00000000 --- a/docs/superpowers/specs/2026-09-25-a365-s2s-store-validation-design.md +++ /dev/null @@ -1,138 +0,0 @@ -# A365 S2S Store Validation Sample Design - -## Goal - -Modernize PR #217 so its service-to-service (S2S) sample works against the -current `main` branch, demonstrates every current Agent 365 observability -scope, satisfies the Microsoft Learn Store-publishing telemetry checklist, and -resolves all outstanding review feedback. - -The Store contract is the **Validate for store publishing** section of: - - - -For S2S agents, `microsoft.agent.user.id` and -`microsoft.agent.user.email` are not required because the export flow has no -agentic user. - -## Branch Integration - -Merge `origin/main` into `nikhilc/add-a365-s2s-sample`. Resolve the existing -`README.md` and `pyproject.toml` conflicts by preserving current `main` and -reapplying only the S2S sample changes that are still needed. - -The old OpenAI dependency cap is unrelated to the sample and must not be -reintroduced. Current dependency metadata and the root `uv.lock` remain owned -by `main`. - -## Review Feedback - -Remove the sample-local files called out in review: - -- `samples/a365/s2s/.env.example` -- `samples/a365/s2s/pyproject.toml` -- `samples/a365/s2s/uv.lock` - -Keep the sample under `samples/a365/s2s/`, as requested and already addressed. -Preserve the previously implemented fixes for tenant consistency, token-cache -identity, and duplicate exporter log handlers. - -Move all setup instructions into `samples/a365/s2s/README.md`. The documented -run path uses the repository environment and an ephemeral MSAL dependency, for -example `uv run --with msal python samples/a365/s2s/s2s_exporter.py`. Required -environment variables are set in the shell rather than loaded from a local -`.env` file. - -## Sample Behavior - -The sample remains self-contained and does not call a real LLM or tool. It -uses realistic simulated operations while exporting real OpenTelemetry spans -when configured with valid S2S credentials. - -It demonstrates these public scopes: - -1. `InvokeAgentScope` as the root agent invocation. -2. `ApplyGuardrailScope` as a child evaluation before model inference. -3. `InferenceScope` for model input, output, provider, model, token usage, and - finish reasons. -4. `ExecuteToolScope` for tool arguments, identity, and result. -5. `OutputScope` for the final response, using the invoke-agent context as its - parent to demonstrate the asynchronous-output pattern. - -The invoke-agent scope also records the final response directly so its required -`gen_ai.output.messages` attribute is present. - -## Identity and Required Attributes - -The sample requires real deployment values for: - -- Blueprint application client ID and secret used by the S2S token exchange. -- Tenant ID. -- Agent app instance ID. -- Published agent ID. -- Agent blueprint ID. -- Human caller ID, email, and client IP for the represented request. - -The sample uses explicit, non-secret values for the weather-agent name, -description, version, service endpoint, channel, conversation, session, model, -provider, tool, and guardrail metadata. The README explains which illustrative -values must be replaced by an integrating application. - -`AgentDetails`, `UserDetails`, `Request`, `CallerDetails`, and -`BaggageBuilder` carry the shared identity and context. The baggage scope -propagates the Store-required attributes to child scopes without duplicating -per-scope setup. - -The required Store attributes covered are: - -- Invoke agent: agent blueprint/ID/name, caller client address and user - identity, channel, conversation, input/output messages, operation name, - server address/port, and tenant. -- Inference: shared identity/context plus input/output messages, provider, - request model, and operation name. -- Execute tool: shared identity/context plus arguments, call ID, result, tool - name/type, and operation name. -- Output: shared identity/context plus output messages and operation name. - -Agent-user ID and email are intentionally absent for the S2S scenario. - -## Configuration and Errors - -Required environment variables are validated before telemetry configuration. -Blank values and angle-bracket placeholders fail with a clear message naming -the missing variable and pointing to the README. - -The token resolver: - -- Uses the requested tenant as the MSAL authority. -- Rejects a requested tenant that differs from the configured credential - tenant. -- Caches tokens by tenant and agent with a refresh buffer. -- Returns `None` with an actionable error when MSAL acquisition fails. - -Exporter debug logging remains scoped to the A365 exporter, does not propagate -to the root logger, and installs only one named handler. - -## Validation - -Add a focused automated test that executes the sample telemetry path with -export disabled and captures spans in memory. It asserts: - -- All five scope operation names are emitted. -- Invoke-agent, inference, execute-tool, and output spans contain the required - Microsoft Learn Store attributes, except the documented S2S agent-user - exemption. -- The guardrail span contains its target, decision, guardian identity, and - finding event. -- The token resolver's existing tenant mismatch and cache behavior remain - covered by direct unit-level checks where practical. - -Run the smallest relevant test selection plus repository formatting, linting, -and type checks that cover the changed sample and test. - -## Non-Goals - -- Refactoring the existing `samples/a365/manual_telemetry.py`. -- Adding a reusable production token-provider library. -- Changing the A365 scope APIs or exporter behavior. -- Changing package publishing metadata or unrelated dependency constraints. From f942536017d7530413440f442622c0eb41d4955c Mon Sep 17 00:00:00 2001 From: "Nikhil Chitlur Navakiran (from Dev Box)" Date: Fri, 25 Sep 2026 15:14:27 -0600 Subject: [PATCH 15/15] Fix S2S sample validation Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- CHANGELOG.md | 3 +++ samples/a365/s2s/s2s_exporter.py | 13 ++++------ tests/a365/test_s2s_sample.py | 41 ++++++++++++++++++++++---------- 3 files changed, 36 insertions(+), 21 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 6a96a69a..2667ec51 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,9 @@ # Release History # Unreleased ### Features Added +- Add a Store-ready Agent 365 service-to-service sample covering invoke-agent, + guardrail, inference, execute-tool, and output telemetry scopes. + ([#276](https://github.com/microsoft/opentelemetry-distro-python/pull/276)) - Add typed Agent365 execute-tool argument and result schema models with `schema_version: "1.0"` serialization, `ToolCallAction`/`ToolCallOutcomeStatus`/`ToolPolicyDecision` enums, provider extension data wrapped under the JSON `metadata` property, public exports, and `ExecuteToolScope` support while preserving raw diff --git a/samples/a365/s2s/s2s_exporter.py b/samples/a365/s2s/s2s_exporter.py index 90ef37b4..3191870e 100644 --- a/samples/a365/s2s/s2s_exporter.py +++ b/samples/a365/s2s/s2s_exporter.py @@ -148,7 +148,7 @@ def build_s2s_token_resolver(): cache: dict[str, tuple[str, float]] = {} lock = threading.Lock() - def resolve(agent_id: str, request_tenant_id: str) -> Optional[str]: + def resolve(agent_id: str, request_tenant_id: str) -> Optional[str]: # pylint: disable=too-many-return-statements # The resolver runs on the exporter's worker thread; guard the cache to # keep token acquisition thread-safe. cache_key = f"{request_tenant_id}:{agent_id}" @@ -209,10 +209,7 @@ def resolve(agent_id: str, request_tenant_id: str) -> Optional[str]: scopes=[A365_OBSERVABILITY_SCOPE], ) if "access_token" not in result: - print( - "S2S step 3 (observability token) failed: " - f"{result.get('error_description', result)}" - ) + print("S2S step 3 (observability token) failed: " f"{result.get('error_description', result)}") return None access_token = result["access_token"] @@ -237,9 +234,7 @@ def _configure_export_logging() -> None: success, or an error log on failure. Without this, those messages are suppressed and the run looks identical whether or not export succeeded. """ - exporter_logger = logging.getLogger( - "microsoft.opentelemetry.a365.core.exporters.agent365_exporter" - ) + exporter_logger = logging.getLogger("microsoft.opentelemetry.a365.core.exporters.agent365_exporter") exporter_logger.setLevel(logging.DEBUG) # Disable propagation so records aren't also emitted via the root logger, # and only attach our handler once so repeated runs in the same process @@ -261,6 +256,8 @@ def _emit_sample_telemetry( ) -> str: """Emit deterministic Store-validation telemetry without network calls.""" user_question = request.content + if not isinstance(user_question, str): + raise ValueError("The S2S sample request content must be a string.") final_answer = "It's currently 62°F and partly cloudy in Seattle." invoke_context = None baggage = ( diff --git a/tests/a365/test_s2s_sample.py b/tests/a365/test_s2s_sample.py index dccf3e40..2e23de64 100644 --- a/tests/a365/test_s2s_sample.py +++ b/tests/a365/test_s2s_sample.py @@ -11,7 +11,17 @@ from opentelemetry.sdk.trace import TracerProvider from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter -from microsoft.opentelemetry.a365.core import AgentDetails, Channel, Request, UserDetails +from microsoft.opentelemetry.a365.core import ( + AgentDetails, + ApplyGuardrailScope, + Channel, + ExecuteToolScope, + InferenceScope, + InvokeAgentScope, + OutputScope, + Request, + UserDetails, +) from microsoft.opentelemetry.a365.core.constants import SOURCE_NAME from microsoft.opentelemetry.a365.core.exporters.enriching_span_processor import ( _EnrichingBatchSpanProcessor, @@ -66,8 +76,8 @@ } -@pytest.fixture -def captured_spans(monkeypatch): +@pytest.fixture(name="captured_spans") +def _captured_spans(monkeypatch): monkeypatch.setenv("ENABLE_OBSERVABILITY", "true") exporter = InMemorySpanExporter() provider = TracerProvider() @@ -78,12 +88,23 @@ def captured_spans(monkeypatch): max_export_batch_size=64, ) provider.add_span_processor(processor) - OpenTelemetryScope._tracer = provider.get_tracer(SOURCE_NAME) + tracer = provider.get_tracer(SOURCE_NAME) + scope_types = ( + OpenTelemetryScope, + ApplyGuardrailScope, + ExecuteToolScope, + InferenceScope, + InvokeAgentScope, + OutputScope, + ) + for scope_type in scope_types: + scope_type._tracer = tracer yield exporter, provider provider.shutdown() - OpenTelemetryScope._tracer = None + for scope_type in scope_types: + scope_type._tracer = None def _sample_inputs(): @@ -121,9 +142,7 @@ def test_sample_emits_store_required_attributes(captured_spans): spans = exporter.get_finished_spans() by_operation = { - span.attributes["gen_ai.operation.name"]: span - for span in spans - if "gen_ai.operation.name" in span.attributes + span.attributes["gen_ai.operation.name"]: span for span in spans if "gen_ai.operation.name" in span.attributes } assert { "invoke_agent", @@ -221,11 +240,7 @@ def test_configure_export_logging_adds_one_named_handler(): s2s_exporter._configure_export_logging() s2s_exporter._configure_export_logging() - matching = [ - handler - for handler in logger.handlers - if handler.name == "a365-s2s-sample-export-logging" - ] + matching = [handler for handler in logger.handlers if handler.name == "a365-s2s-sample-export-logging"] assert len(matching) == 1 assert logger.propagate is False finally: