diff --git a/.azure-pipelines/hosted-agent-tests/python/langgraph/responses/11-deep-agents/test-spec.yml b/.azure-pipelines/hosted-agent-tests/python/langgraph/responses/11-deep-agents/test-spec.yml index 4dd1fc379..8f4ead273 100644 --- a/.azure-pipelines/hosted-agent-tests/python/langgraph/responses/11-deep-agents/test-spec.yml +++ b/.azure-pipelines/hosted-agent-tests/python/langgraph/responses/11-deep-agents/test-spec.yml @@ -7,7 +7,7 @@ sample: tests: - name: delegated-web-research turns: - - input: Research how LangGraph checkpoints support multi-turn agents using delegated research. Include the exact primary-source URL https://docs.langchain.com/oss/python/langgraph/overview in both the saved report and your final reply. Save the cited report to /report-v1.md and give me its download link. + - input: Research how LangGraph checkpoints support multi-turn agents using delegated research. Include the exact primary-source URL https://docs.langchain.com/oss/python/langgraph/overview in both the saved report and your final reply. Save the cited report to /report-v1.md and give me its Blob URL and SHA256 for an Entra-authenticated download. assertions: - source: assistant_text type: contains @@ -18,10 +18,18 @@ tests: - source: raw type: regex value: '"name"\s*:\s*"publish_report"' + - source: raw + type: contains + value: Microsoft Entra ID + - source: raw + type: regex + value: '(?i)sig=' + min_matches: 0 + max_matches: 0 - source: assistant_text type: regex - value: 'https://[a-z0-9]+\.blob\.core\.windows\.net/[^\s]+/report-v1\.md\?[^\s]*sig=' - - input: Read the saved /report-v1.md and wait for its contents. In a separate tool round, use write_file with that full unchanged report text as content to create /report-v2.md; do not create an empty file. After the copy succeeds, use edit_file to add a section headed 'Recovery Limitations' only to /report-v2.md while preserving its findings and citations. Do not repeat the research or modify /report-v1.md. Call publish_report with report_name='report-v2.md'. In your final reply, mention 'Recovery Limitations' and give me the download link returned by that tool, not a link constructed from the earlier URL. + value: 'https://[a-z0-9]+\.blob\.core\.windows\.net/[^\s]+/report-v1\.md' + - input: Read the saved /report-v1.md and wait for its contents. In a separate tool round, use write_file with that full unchanged report text as content to create /report-v2.md; do not create an empty file. After the copy succeeds, use edit_file to add a section headed 'Recovery Limitations' only to /report-v2.md while preserving its findings and citations. Do not repeat the research or modify /report-v1.md. Call publish_report with report_name='report-v2.md'. In your final reply, mention 'Recovery Limitations' and give me its unsigned Blob URL and SHA256 returned by that tool. Explain that downloading requires my own Microsoft Entra identity and Blob read permission. Do not construct a URL or issue a SAS. assertions: - source: assistant_text type: contains @@ -32,10 +40,18 @@ tests: - source: raw type: regex value: '"name"\s*:\s*"publish_report"' + - source: raw + type: contains + value: Microsoft Entra ID + - source: raw + type: regex + value: '(?i)sig=' + min_matches: 0 + max_matches: 0 - source: assistant_text type: regex - value: 'https://[a-z0-9]+\.blob\.core\.windows\.net/[^\s]+/report-v2\.md\?[^\s]*sig=' - - input: Read both /report-v1.md and /report-v2.md using read_file, and confirm that only report-v2.md includes the added 'Recovery Limitations' section. Return the two existing download links labeled report-v1.md and report-v2.md. Do not edit the files or publish them again. + value: 'https://[a-z0-9]+\.blob\.core\.windows\.net/[^\s]+/report-v2\.md' + - input: Read both /report-v1.md and /report-v2.md using read_file, and confirm that only report-v2.md includes the added 'Recovery Limitations' section. Return the two existing Blob URLs and SHA256 digests labeled report-v1.md and report-v2.md. Do not edit the files or publish them again. assertions: - source: raw type: regex @@ -48,7 +64,22 @@ tests: value: report-v2.md - source: assistant_text type: regex - value: 'https://[a-z0-9]+\.blob\.core\.windows\.net/[^\s]+/report-v1\.md\?[^\s]*sig=' + value: 'https://[a-z0-9]+\.blob\.core\.windows\.net/[^\s]+/report-v1\.md' - source: assistant_text type: regex - value: 'https://[a-z0-9]+\.blob\.core\.windows\.net/[^\s]+/report-v2\.md\?[^\s]*sig=' + value: 'https://[a-z0-9]+\.blob\.core\.windows\.net/[^\s]+/report-v2\.md' + assertions: + - source: console_log + type: contains + value: Starting Deep Agents host with Entra-authenticated report downloads + - source: console_log + type: contains + value: Published report report-v1.md + - source: console_log + type: contains + value: Published report report-v2.md + - source: console_log + type: regex + value: '(?i)(sig=|authorization: bearer)' + min_matches: 0 + max_matches: 0 diff --git a/.github/scripts/test/test_custom_websocket_telemetry.py b/.github/scripts/test/test_custom_websocket_telemetry.py new file mode 100644 index 000000000..4304d293e --- /dev/null +++ b/.github/scripts/test/test_custom_websocket_telemetry.py @@ -0,0 +1,200 @@ +"""Regressions for telemetry startup in custom, non-AgentServer WebSocket apps.""" + +from __future__ import annotations + +import ast +import importlib.util +import logging +import os +import sys +import types +import unittest +from pathlib import Path +from unittest.mock import MagicMock, patch + +ROOT = Path(__file__).resolve().parents[3] +RUNTIMES = ( + ("livekit-server", "livekit-server"), + ("pipecat-webrtc", "pipecat-ws-webrtc"), + ("pipecat-ws-server", "pipecat-ws-server"), +) + + +def runtime_path(sample: str, project: str) -> Path: + return ( + ROOT + / "samples/python/hosted-agents/bring-your-own/invocations_ws" + / sample + / "src" + / project + ) + + +class CustomWebSocketTelemetryTests(unittest.TestCase): + def test_default_setup_is_idempotent_and_preserves_safe_log_settings(self) -> None: + for sample, project in RUNTIMES: + for connection_string in (None, "test-connection"): + with self.subTest(sample=sample, connection=connection_string): + distro = types.ModuleType("microsoft.opentelemetry") + configure = MagicMock() + distro.use_microsoft_opentelemetry = configure + loguru = types.ModuleType("loguru") + loguru.logger = MagicMock() + modules = {"microsoft.opentelemetry": distro, "loguru": loguru} + spec = importlib.util.spec_from_file_location( + "custom_telemetry_under_test", + runtime_path(sample, project) / "telemetry.py", + ) + assert spec and spec.loader + module = importlib.util.module_from_spec(spec) + with ( + patch.dict(sys.modules, modules), + patch.dict(os.environ, {}, clear=True), + patch.object(logging, "basicConfig") as configure_logging, + ): + if connection_string: + os.environ["APPLICATIONINSIGHTS_CONNECTION_STRING"] = ( + connection_string + ) + spec.loader.exec_module(module) + with patch.object(module, "find_spec", return_value=None): + module.configure_telemetry() + module.configure_telemetry() + configure_logging.assert_called_once_with(level=logging.INFO) + configure.assert_called_once_with( + enable_azure_monitor=bool(connection_string), + azure_monitor_connection_string=connection_string, + enable_sensitive_data=False, + instrumentation_options={"openai": {"enabled": False}}, + ) + loguru.logger.remove.assert_called_once() + sink = loguru.logger.add.call_args + self.assertIsInstance(sink.args[0], logging.Handler) + self.assertEqual(sink.kwargs["level"], "INFO") + self.assertFalse(sink.kwargs["diagnose"]) + self.assertFalse(sink.kwargs["backtrace"]) + + def test_loguru_sink_forwards_records_to_standard_logging(self) -> None: + for sample, project in RUNTIMES: + with self.subTest(sample=sample): + distro = types.ModuleType("microsoft.opentelemetry") + distro.use_microsoft_opentelemetry = MagicMock() + loguru = types.ModuleType("loguru") + loguru.logger = MagicMock() + spec = importlib.util.spec_from_file_location( + "custom_telemetry_under_test", + runtime_path(sample, project) / "telemetry.py", + ) + assert spec and spec.loader + module = importlib.util.module_from_spec(spec) + with patch.dict( + sys.modules, {"microsoft.opentelemetry": distro, "loguru": loguru} + ): + spec.loader.exec_module(module) + record = logging.makeLogRecord( + { + "name": "custom.websocket", + "msg": "Connection accepted", + "levelno": logging.INFO, + } + ) + with patch.object(logging, "getLogger") as get_logger: + module.ForwardToLogging().emit(record) + get_logger.assert_called_once_with("custom.websocket") + get_logger.return_value.handle.assert_called_once_with(record) + + def test_each_server_initializes_telemetry_before_bot_import_or_app_creation( + self, + ) -> None: + for sample, project in RUNTIMES: + with self.subTest(sample=sample): + tree = ast.parse( + (runtime_path(sample, project) / "server.py").read_text( + encoding="utf-8-sig" + ) + ) + setup = [ + node.lineno + for node in tree.body + if isinstance(node, ast.Expr) + and isinstance(node.value, ast.Call) + and isinstance(node.value.func, ast.Name) + and node.value.func.id == "configure_telemetry" + ] + apps = [ + node.lineno + for node in tree.body + if isinstance(node, ast.Assign) + and isinstance(node.value, ast.Call) + and isinstance(node.value.func, ast.Name) + and node.value.func.id == "FastAPI" + ] + self.assertEqual(len(setup), 1) + self.assertTrue(apps and setup[0] < min(apps)) + + def test_livekit_worker_initializes_each_process_and_does_not_log_payloads( + self, + ) -> None: + tree = ast.parse( + (runtime_path("livekit-server", "livekit-server") / "agent.py").read_text( + encoding="utf-8-sig" + ) + ) + entrypoint = next( + node + for node in tree.body + if isinstance(node, ast.AsyncFunctionDef) and node.name == "entrypoint" + ) + calls = [node for node in ast.walk(entrypoint) if isinstance(node, ast.Call)] + self.assertTrue( + any( + isinstance(node.func, ast.Name) + and node.func.id == "configure_telemetry" + for node in calls + ) + ) + logs = [ + node + for node in ast.walk(tree) + if isinstance(node, ast.Call) + and isinstance(node.func, ast.Attribute) + and node.func.attr == "info" + ] + self.assertFalse( + any( + any( + isinstance(argument, ast.Name) and argument.id == "payload" + for argument in node.args + ) + for node in logs + ) + ) + + def test_pipecat_info_logs_do_not_include_model_supplied_reasons(self) -> None: + tree = ast.parse( + ( + runtime_path("pipecat-ws-server", "pipecat-ws-server") + / "bot_websocket_server.py" + ).read_text(encoding="utf-8-sig") + ) + logs = [ + node + for node in ast.walk(tree) + if isinstance(node, ast.Call) + and isinstance(node.func, ast.Attribute) + and node.func.attr == "info" + ] + self.assertFalse( + any( + any( + isinstance(item, ast.Name) and item.id == "reason" + for argument in node.args + for item in ast.walk(argument) + ) + for node in logs + ) + ) + + +if __name__ == "__main__": + unittest.main() diff --git a/samples/python/hosted-agents/AGENTS.md b/samples/python/hosted-agents/AGENTS.md index 8affd7e04..781913801 100644 --- a/samples/python/hosted-agents/AGENTS.md +++ b/samples/python/hosted-agents/AGENTS.md @@ -67,6 +67,13 @@ submitting changes. ## Runtime logging +Keep the standard host's default telemetry enabled. Configure INFO logging for +startup diagnostics before host creation and reuse the host's instrumentation +and exporters; do not configure a second provider or framework instrumentor. +Message/tool content recording is distinct from logging and remains opt-in for +sensitive data. Document the Application Insights or OTLP export configuration +and verify destination ingestion, not only console output. + Use the standard `logging` module for diagnostics emitted by a running hosted agent. Prefer `logger.info()`, `logger.warning()`, and `logger.exception()` over `print()` when output must be observable while the long-running process remains diff --git a/samples/python/hosted-agents/README-template.md b/samples/python/hosted-agents/README-template.md index 3bca0dd23..b7f0c8411 100644 --- a/samples/python/hosted-agents/README-template.md +++ b/samples/python/hosted-agents/README-template.md @@ -160,6 +160,14 @@ lifecycle stays consistent across samples. Give each its own `##` heading. Commo Delete this comment and add the real sections your sample needs. --> +## Telemetry and logging + +The standard host enables console logging and OpenTelemetry by default. Connect +Application Insights to the Foundry project for hosted export; configure +`APPLICATIONINSIGHTS_CONNECTION_STRING` or an OTLP destination for local export. +Verify logs and traces in the destination. Keep sensitive message/tool content +recording opt-in and reuse the host's instrumentation and exporters. + ## Troubleshooting > Delete if not needed. List errors specific to this sample and their fixes. diff --git a/samples/python/hosted-agents/README.md b/samples/python/hosted-agents/README.md index 3035936e8..35d0a98a0 100644 --- a/samples/python/hosted-agents/README.md +++ b/samples/python/hosted-agents/README.md @@ -2,7 +2,32 @@ Samples for building, deploying, and managing hosted agents on [Microsoft Foundry](https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/hosted-agents). Each sample is a starter template — fork it, change the system prompt and tools, deploy with `azd up`. -> **Every sample includes Application Insights and OpenTelemetry tracing out of the box.** You get production-ready logging, distributed traces, and metrics from the first sample you run. +> **Hosted Agent Server samples enable logging and OpenTelemetry by default.** Export requires a configured Application Insights connection or OTLP destination; local console logging does not prove remote telemetry ingestion. + +## Telemetry and logging + +The standard Python/C# Agent Server hosts configure console logging and +OpenTelemetry by default. Keep that default enabled when adapting a sample; +Python startup diagnostics emitted before host construction should initialize +`logging` at INFO. Let the host own instrumentation/export rather than also +configuring another provider or instrumenting the same framework twice. + +For Application Insights export, connect the resource to the Foundry project +and verify the injected `APPLICATIONINSIGHTS_CONNECTION_STRING`. For local +runs, provide your own connection string or an OTLP destination. Check actual +logs/spans in the destination; an absent environment variable, a warning, or a +successful model response is not evidence that remote telemetry was exported. +Protocol-only, externally hosted, and framework-specific samples may configure +observability explicitly; inspect their documented entry point instead of +requiring one universal initialization call. + +Telemetry enabled does not mean sensitive content must be recorded. Keep +prompts, report bodies, tool payloads, secrets, bearer tokens, and SAS URLs out +of default logs. Message-content capture is a separate opt-in setting; do not +turn `AZURE_TRACING_GEN_AI_CONTENT_RECORDING_ENABLED` or +`OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT` on solely to enable logging. +Tests and offline replay utilities may suppress telemetry deliberately; do not +copy those opt-outs into production entry points. ### Quickstart diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/README.md b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/README.md index 7bc0e5d55..ea3e62b2b 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/README.md +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/README.md @@ -226,3 +226,22 @@ azd deploy livekit-server-azd - [LiveKit Azure TTS plugin](https://docs.livekit.io/agents/models/tts/azure/) - [LiveKit Azure OpenAI LLM plugin](https://docs.livekit.io/agents/models/llm/azure-openai/) - Inspiration: [`livekit-examples/agent-deployment#21`](https://github.com/livekit-examples/agent-deployment/pull/21) (Bedrock AgentCore deployment) + + +## Telemetry and logging + +The custom server enables INFO logging and OpenTelemetry at startup. Unlike +Agent Server-based samples, this runtime configures its own provider through +`microsoft-opentelemetry`; `telemetry.py` is idempotent within each process. +Loguru messages are forwarded into standard logging so console and exported +application logs use the same pipeline. DEBUG/TRACE logs and sensitive framework +message capture are not enabled by default. + +Connect Application Insights to the Foundry project for hosted export, or set +`APPLICATIONINSIGHTS_CONNECTION_STRING` locally. The exporter is enabled when +that connection string exists; OTLP configuration is also supported by the distro. +Verify destination ingestion separately from console output. Never log API keys, +bearer tokens, signaling payloads, or full user transcripts. + +The signaling server and spawned agent worker configure telemetry independently; +each process owns its provider. Voice event logs record event types, not payloads. diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/.env.example b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/.env.example index 37fa67461..f5aa8557e 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/.env.example +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/.env.example @@ -34,3 +34,6 @@ LIVEKIT_API_SECRET= # --- FastAPI signaling server ----------------------------------------------- # PORT=8091 + +# Optional local telemetry export; hosted Foundry supplies this when configured. +APPLICATIONINSIGHTS_CONNECTION_STRING= diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/agent.py b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/agent.py index 395c1a86e..1170ad8c0 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/agent.py +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/agent.py @@ -200,6 +200,9 @@ async def transfer_to_greeter(self, context: RunContext): async def entrypoint(ctx: agents.JobContext) -> None: + from telemetry import configure_telemetry + + configure_telemetry() await ctx.connect() session = AgentSession( @@ -242,7 +245,7 @@ def _wire_session_events(session: AgentSession, room: rtc.Room) -> None: def publish(payload: dict) -> None: """Log locally + ship the event to the browser as JSON.""" - logger.info("event: %s", payload) + logger.info("Voice event: %s", payload.get("type")) data = json.dumps(payload).encode("utf-8") async def _send() -> None: diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/pyproject.toml b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/pyproject.toml index 56000a55b..c88560a81 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/pyproject.toml +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/pyproject.toml @@ -4,6 +4,7 @@ version = "0.1.0" description = "A Microsoft Foundry hosted agent using the Invocations WebSocket protocol." requires-python = ">=3.12" dependencies = [ + "microsoft-opentelemetry==1.3.8", "debugpy", "fastapi>=0.115.0", "livekit-agents>=1.0.0,<2", diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/server.py b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/server.py index 767484fab..60a459908 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/server.py +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/server.py @@ -38,10 +38,13 @@ from livekit.protocol.agent_dispatch import RoomAgentDispatch from livekit.protocol.room import RoomConfiguration from loguru import logger +from telemetry import configure_telemetry _HERE = Path(__file__).resolve().parent load_dotenv(_HERE / ".env", override=True) +configure_telemetry() + app = FastAPI() # Configure CORS for the sample. Wildcard origins cannot be combined with diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/telemetry.py b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/telemetry.py new file mode 100644 index 000000000..cc0695592 --- /dev/null +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/telemetry.py @@ -0,0 +1,46 @@ +"""Configure default INFO logs and OpenTelemetry for a custom WebSocket server.""" + +from __future__ import annotations + +import logging +import os +from importlib.util import find_spec + +from loguru import logger +from microsoft.opentelemetry import use_microsoft_opentelemetry + +_configured = False + + +class ForwardToLogging(logging.Handler): + def emit(self, record: logging.LogRecord) -> None: + logging.getLogger(record.name).handle(record) + + +def configure_telemetry() -> None: + """Use one provider per process and keep sensitive framework content opt-in.""" + global _configured + if _configured: + return + logging.basicConfig(level=logging.INFO) + connection_string = os.environ.get("APPLICATIONINSIGHTS_CONNECTION_STRING") + use_microsoft_opentelemetry( + enable_azure_monitor=bool(connection_string), + azure_monitor_connection_string=connection_string, + enable_sensitive_data=False, + instrumentation_options={ + "openai": { + "enabled": find_spec("openai") is not None + and find_spec("httpx") is not None + } + }, + ) + logger.remove() + logger.add( + ForwardToLogging(), + level="INFO", + format="{message}", + backtrace=False, + diagnose=False, + ) + _configured = True diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/uv.lock b/samples/python/hosted-agents/bring-your-own/invocations_ws/livekit-server/src/livekit-server/uv.lock index 11e0f806e..7d2a7fb01 100644 --- 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a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/README.md b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/README.md index 4dea733e8..d51fcc440 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/README.md +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/README.md @@ -336,3 +336,19 @@ The portal log shows the upstream `agent_session_id` it generated; that ID is al ```bash azd ai agent monitor pipecat-ws-webrtc --session-id --follow ``` + + +## Telemetry and logging + +The custom server enables INFO logging and OpenTelemetry at startup. Unlike +Agent Server-based samples, this runtime configures its own provider through +`microsoft-opentelemetry`; `telemetry.py` is idempotent within each process. +Loguru messages are forwarded into standard logging so console and exported +application logs use the same pipeline. DEBUG/TRACE logs and sensitive framework +message capture are not enabled by default. + +Connect Application Insights to the Foundry project for hosted export, or set +`APPLICATIONINSIGHTS_CONNECTION_STRING` locally. The exporter is enabled when +that connection string exists; OTLP configuration is also supported by the distro. +Verify destination ingestion separately from console output. Never log API keys, +bearer tokens, signaling payloads, or full user transcripts. diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/.env.example b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/.env.example index 3ff612709..6dca010d8 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/.env.example +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/.env.example @@ -23,3 +23,6 @@ WEBRTC_TURN_CREDENTIAL= # Server bind SERVER_HOST=0.0.0.0 PORT=8089 + +# Optional local telemetry export; hosted Foundry supplies this when configured. +APPLICATIONINSIGHTS_CONNECTION_STRING= diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/pyproject.toml b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/pyproject.toml index a66d4c141..0983435b1 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/pyproject.toml +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/pyproject.toml @@ -4,6 +4,7 @@ version = "0.1.0" description = "A Microsoft Foundry hosted agent using the Invocations WebSocket protocol." requires-python = ">=3.12" dependencies = [ + "microsoft-opentelemetry==1.3.8", "azure-ai-transcription", "azure-identity", "debugpy", diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/server.py b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/server.py index 35e2c31e3..0b227e9fb 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/server.py +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/server.py @@ -37,12 +37,15 @@ from fastapi import FastAPI, WebSocket, WebSocketDisconnect from fastapi.middleware.cors import CORSMiddleware from loguru import logger +from telemetry import configure_telemetry # Load .env from the same directory as this file BEFORE importing the bot. load_dotenv( Path(__file__).resolve().parent / ".env", override=False ) +configure_telemetry() + from bot_webrtc_server import run_bot # noqa: E402 from pipecat.transports.smallwebrtc.connection import ( # noqa: E402 IceServer, diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/telemetry.py b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-webrtc/src/pipecat-ws-webrtc/telemetry.py new file mode 100644 index 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a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/README.md b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/README.md index c031a2c7f..63a1e54c4 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/README.md +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/README.md @@ -273,3 +273,19 @@ The portal log shows the upstream `agent_session_id` it generated; that ID is al ```bash azd ai agent monitor pipecat-ws-server --session-id --follow ``` + + +## Telemetry and logging + +The custom server enables INFO logging and OpenTelemetry at startup. Unlike +Agent Server-based samples, this runtime configures its own provider through +`microsoft-opentelemetry`; `telemetry.py` is idempotent within each process. +Loguru messages are forwarded into standard logging so console and exported +application logs use the same pipeline. DEBUG/TRACE logs and sensitive framework +message capture are not enabled by default. + +Connect Application Insights to the Foundry project for hosted export, or set +`APPLICATIONINSIGHTS_CONNECTION_STRING` locally. The exporter is enabled when +that connection string exists; OTLP configuration is also supported by the distro. +Verify destination ingestion separately from console output. Never log API keys, +bearer tokens, signaling payloads, or full user transcripts. diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/.env.example b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/.env.example index 98a62db11..639d350d5 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/.env.example +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/.env.example @@ -8,3 +8,6 @@ AZURE_SPEECH_REGION=eastus AZURE_FOUNDRY_API_KEY= AZURE_OPENAI_ENDPOINT=https://your-aoai.openai.azure.com AZURE_LLM_MODEL=gpt-4o-mini + +# Optional local telemetry export; hosted Foundry supplies this when configured. +APPLICATIONINSIGHTS_CONNECTION_STRING= diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/bot_websocket_server.py b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/bot_websocket_server.py index b5bfa7db3..6f6f52680 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/bot_websocket_server.py +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/bot_websocket_server.py @@ -209,7 +209,7 @@ async def transfer_to_agent( agent (str): The agent to transfer to (e.g. 'greeter', 'check_order'). reason (str): Why the user is being transferred. """ - logger.info(f"Agent '{self.name}': transferring to '{agent}' ({reason})") + logger.info("Agent '{}' transferring to '{}'", self.name, agent) await self.handoff_to( agent, messages=[ @@ -231,7 +231,7 @@ async def end_conversation(self, params: FunctionCallParams, reason: str): Args: reason (str): Why the conversation is ending. """ - logger.info(f"Agent '{self.name}': ending conversation ({reason})") + logger.info("Agent '{}' ending conversation", self.name) await self.end( reason=reason, messages=[{"role": "developer", "content": reason}], diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/pyproject.toml b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/pyproject.toml index f39e2d7d2..1ac919c27 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/pyproject.toml +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/pyproject.toml @@ -4,6 +4,7 @@ version = "0.1.0" description = "A Microsoft Foundry hosted agent using the Invocations WebSocket protocol." requires-python = ">=3.12" dependencies = [ + "microsoft-opentelemetry==1.3.8", "azure-ai-transcription", "debugpy", "pipecat-ai[silero,websocket,azure]>=0.0.105", diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/server.py b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/server.py index 348bdf7a9..53b12c966 100644 --- a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/server.py +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/server.py @@ -8,12 +8,15 @@ from dotenv import load_dotenv from fastapi import FastAPI, WebSocket from fastapi.middleware.cors import CORSMiddleware +from telemetry import configure_telemetry logger = logging.getLogger(__name__) # Load environment variables load_dotenv(override=False) +configure_telemetry() + from bot_websocket_server import run_bot diff --git a/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/telemetry.py b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/telemetry.py new file mode 100644 index 000000000..cc0695592 --- /dev/null +++ b/samples/python/hosted-agents/bring-your-own/invocations_ws/pipecat-ws-server/src/pipecat-ws-server/telemetry.py @@ -0,0 +1,46 @@ +"""Configure default INFO logs and OpenTelemetry for a custom WebSocket server.""" + +from __future__ import annotations + +import logging +import os +from importlib.util import find_spec + +from loguru import logger +from microsoft.opentelemetry import use_microsoft_opentelemetry + +_configured = False + + +class ForwardToLogging(logging.Handler): + def emit(self, record: logging.LogRecord) -> None: + logging.getLogger(record.name).handle(record) + + +def configure_telemetry() -> None: + """Use one provider per process and keep sensitive framework content opt-in.""" 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b/samples/python/hosted-agents/langgraph/README.md index d5bdff98d..4654a8f08 100644 --- a/samples/python/hosted-agents/langgraph/README.md +++ b/samples/python/hosted-agents/langgraph/README.md @@ -22,7 +22,7 @@ Use the configuration-driven `langchain_azure_ai.agents.hosting.run` entrypoint | 8 | [Observability](responses/08-observability/) | A LangGraph agent with GenAI OpenTelemetry tracing enabled via `enable_auto_tracing()`, emitting spans, metrics, and logs to Application Insights. | | 9 | [Resilient](responses/09-resilient/) | Resilient background Responses with durable checkpoints, recovery, cancellation, steering, and human approval. | | 10 | [Run](responses/10-run/) | A minimal configuration-driven LangGraph agent hosted over the Responses protocol with the `langchain_azure_ai.agents.hosting.run` entrypoint. | -| 11 | [Deep Agents](responses/11-deep-agents/) | A deep research agent with Toolbox tools, a Foundry-backed checkpointer, and downloadable reports in Azure Blob Storage. Uses the host class for async resource lifecycle management. | +| 11 | [Deep Agents](responses/11-deep-agents/) | A deep research agent with Toolbox tools, a Foundry-backed checkpointer, and Entra-authenticated report downloads in Azure Blob Storage. Uses the host class for async resource lifecycle management. | | 12 | [Custom Host](responses/12-custom-host/) | Extends a multi-turn chat agent with a locale header and custom location messages using `ResponsesHostServer`. | | 13 | [Custom Stores](responses/13-custom-store/) | Demonstrates implementing custom response and conversation-chain stores and wiring LangGraph checkpoints and long-term memory for Foundry-hosted or on-premises agents. | | 14 | [Middleware](responses/14-middleware/) | Standard LangChain `create_agent` with built-in `HumanInTheLoopMiddleware` and a custom `@before_model` hook, using simulated email tools. | diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/AGENTS.md b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/AGENTS.md index bf1805931..b7ecfe9df 100644 --- a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/AGENTS.md +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/AGENTS.md @@ -9,6 +9,7 @@ This project is a **Microsoft Foundry hosted agent** built with LangGraph Deep A - `src/langgraph-deep-agents/agent.py` - Deep Agents graph assembly - `src/langgraph-deep-agents/utils.py` - Foundry chat-model construction - `src/langgraph-deep-agents/report_export.py` - publish saved reports to private Blob Storage +- `src/langgraph-deep-agents/download_report.py` - Entra-authenticated report download and digest verification - `src/langgraph-deep-agents/research_agent/prompts.py` - research workflow and subagent prompts - `src/langgraph-deep-agents/research_agent/tools.py` - Foundry Toolbox loading - `src/langgraph-deep-agents/pyproject.toml` - direct dependencies diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/README.md b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/README.md index 8a00f727c..2dba611ad 100644 --- a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/README.md +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/README.md @@ -10,7 +10,7 @@ This sample adapts LangChain's official [Build a deep research agent](https://do - Producing a structured report with consolidated inline citations. - Hosting the compiled Deep Agents graph through `ResponsesHostServer`. - Persisting LangGraph checkpoints with `FoundryCheckpointSaver`. -- Publishing saved reports as private Azure Blob snapshots with read-only download links. +- Publishing saved reports as private Azure Blob snapshots downloaded with Microsoft Entra ID. ## How it works @@ -21,7 +21,8 @@ The agent uses a model deployed in the Foundry project. Its coordinator and rese The coordinator also has `publish_report(report_name)`, adapted from the [SDK sample's Blob publication tool](https://github.com/langchain-ai/langchain-azure/blob/c480d810ca96e77860db64ba3403c3bf13d5dfcf/samples/hosting/langgraph-hosted-agents/responses/12_deep_agents/report_export.py). It reads the selected saved virtual file, uploads a separate private Blob, and -returns its SHA256 and a one-hour, read-only HTTPS user-delegation SAS. Working +returns its SHA256, Blob name, and unsigned HTTPS Blob URL. Both uploads and +downloads use Microsoft Entra ID; it never generates a SAS or uses account keys. Working files remain in the existing checkpoint-backed state for later edits; Blob is an export destination, not a new filesystem or checkpointer. @@ -35,6 +36,7 @@ src/langgraph-deep-agents/ ├── agent.py ├── utils.py ├── report_export.py +├── download_report.py └── research_agent/ ├── __init__.py ├── prompts.py @@ -45,6 +47,7 @@ src/langgraph-deep-agents/ - `agent.py` composes the coordinator, research subagent, and planning middleware. - `utils.py` constructs the Foundry-backed chat model. - `report_export.py` publishes a saved report without changing its working copy. +- `download_report.py` downloads with the caller's Entra identity and verifies SHA256 before saving. - `research_agent/prompts.py` contains the research workflow and delegation instructions. - `research_agent/tools.py` loads the tools exposed by the Foundry Toolbox. @@ -92,7 +95,6 @@ azd env set AZURE_STORAGE_CONTAINER_NAME "$REPORT_STORAGE_CONTAINER" REPORT_STORAGE_ID=$(az storage account show --subscription "$SUBSCRIPTION_ID" --resource-group "$REPORT_RESOURCE_GROUP" --name "$REPORT_STORAGE_ACCOUNT" --query id -o tsv) REPORT_CONTAINER_SCOPE="$REPORT_STORAGE_ID/blobServices/default/containers/$REPORT_STORAGE_CONTAINER" az role assignment create --subscription "$SUBSCRIPTION_ID" --assignee-object-id "$DEVELOPER_PRINCIPAL_ID" --assignee-principal-type User --role "Storage Blob Data Contributor" --scope "$REPORT_CONTAINER_SCOPE" -az role assignment create --subscription "$SUBSCRIPTION_ID" --assignee-object-id "$DEVELOPER_PRINCIPAL_ID" --assignee-principal-type User --role "Storage Blob Delegator" --scope "$REPORT_STORAGE_ID" ``` With existing Storage, skip the three resource-creation commands. Grant the @@ -100,8 +102,19 @@ identity actually used by `DefaultAzureCredential`, not necessarily the administrator running the commands. For an interactive developer, find its ID with `az ad signed-in-user show --query id -o tsv`; for a service principal, use its object ID and change `--assignee-principal-type` to `ServicePrincipal`. -The account-level delegation role is required to sign links; container-only data -access is insufficient. Allow time for RBAC propagation. +The uploading identity needs only container-scoped data access; no +`Storage Blob Delegator` role is required. Give download-only users +`Storage Blob Data Reader` on the report container. Allow time for RBAC propagation. +For a separate download-only user, have the Storage administrator run: + +```bash +REPORT_READER_PRINCIPAL_ID="" +az role assignment create --subscription "$SUBSCRIPTION_ID" --assignee-object-id "$REPORT_READER_PRINCIPAL_ID" --assignee-principal-type User --role "Storage Blob Data Reader" --scope "$REPORT_CONTAINER_SCOPE" +``` + +This grants access to all reports in that container, not per-user report isolation; +use separate containers or an independently authorized download service if users +must be isolated from one another. PowerShell equivalent for existing private Storage: @@ -116,7 +129,6 @@ azd env set AZURE_STORAGE_CONTAINER_NAME $REPORT_STORAGE_CONTAINER $REPORT_STORAGE_ID = az storage account show --subscription $SUBSCRIPTION_ID --resource-group $REPORT_RESOURCE_GROUP --name $REPORT_STORAGE_ACCOUNT --query id -o tsv $REPORT_CONTAINER_SCOPE = "$REPORT_STORAGE_ID/blobServices/default/containers/$REPORT_STORAGE_CONTAINER" az role assignment create --subscription $SUBSCRIPTION_ID --assignee-object-id $DEVELOPER_PRINCIPAL_ID --assignee-principal-type User --role "Storage Blob Data Contributor" --scope $REPORT_CONTAINER_SCOPE -az role assignment create --subscription $SUBSCRIPTION_ID --assignee-object-id $DEVELOPER_PRINCIPAL_ID --assignee-principal-type User --role "Storage Blob Delegator" --scope $REPORT_STORAGE_ID ``` Then provision and deploy the existing Foundry services: @@ -153,19 +165,17 @@ the developer's separate Blob permissions. azd deploy ``` -Before hosted invocation, have the Storage administrator assign the same two -roles to the deployed agent's **instance identity**, separately from the developer: +Before hosted invocation, have the Storage administrator assign the data role +to the deployed agent's **instance identity**, separately from the developer: ```bash AGENT_PRINCIPAL_ID=$(azd ai agent show langgraph-deep-agents -o json | python -c 'import json,sys; print(json.load(sys.stdin)["instance_identity"]["principal_id"])') az role assignment create --subscription "$SUBSCRIPTION_ID" --assignee-object-id "$AGENT_PRINCIPAL_ID" --assignee-principal-type ServicePrincipal --role "Storage Blob Data Contributor" --scope "$REPORT_CONTAINER_SCOPE" -az role assignment create --subscription "$SUBSCRIPTION_ID" --assignee-object-id "$AGENT_PRINCIPAL_ID" --assignee-principal-type ServicePrincipal --role "Storage Blob Delegator" --scope "$REPORT_STORAGE_ID" ``` ```powershell $AGENT_PRINCIPAL_ID = (azd ai agent show langgraph-deep-agents -o json | ConvertFrom-Json).instance_identity.principal_id az role assignment create --subscription $SUBSCRIPTION_ID --assignee-object-id $AGENT_PRINCIPAL_ID --assignee-principal-type ServicePrincipal --role "Storage Blob Data Contributor" --scope $REPORT_CONTAINER_SCOPE -az role assignment create --subscription $SUBSCRIPTION_ID --assignee-object-id $AGENT_PRINCIPAL_ID --assignee-principal-type ServicePrincipal --role "Storage Blob Delegator" --scope $REPORT_STORAGE_ID ``` Do not grant the project's identity or blueprint instead. `azd deploy` does not @@ -187,29 +197,57 @@ before F5. The Toolkit does not grant external Storage permissions. ## Download and update reports -Open the returned URL in a browser, or download outside this checkout: +Publication checks that the report container is private and refuses anonymous +container access. The returned `blob_url` contains no SAS token. Opening it directly +in a browser does not automatically authenticate. Sign in with `az login` as a +user with `Storage Blob Data Reader` on the report container, then run the +included downloader from `src/langgraph-deep-agents`: ```bash -curl --fail --location "" --output "/path/outside/repository/report.md" +uv run --frozen python download_report.py --blob-url "" --sha256 "" --output "/path/outside/repository/report-v1.md" ``` -Compare the downloaded file's SHA256 with the value returned by `publish_report`. -In the same conversation, ask the agent to read `/report-v1.md`, copy it to -`/report-v2.md`, and make the requested edits only to that copy. Ask it to read -both saved files and return clearly labeled download links for both versions. -Download both, compare each SHA256, and confirm the original file and its earlier -download remain unchanged. When calling the Responses API directly, carry the -latest response ID and the hosted session ID. Each publication creates a new -Blob; neither revising the copy nor publishing it overwrites the original. +The downloader uses `DefaultAzureCredential` and your own Entra identity. It +rejects SAS URLs and verifies the returned SHA256 before writing a file. For an +Azure CLI download, use the `blob_name` returned by `publish_report`: -Publication failures return no link and leave the saved report editable. Anyone -holding a valid SAS URL can read its snapshot until expiry. Expiry does **not** -delete the Blob; delete your test exports explicitly, and remove separately created -Storage resources when no longer needed. `azd down` does not own those resources. +```bash +az storage blob download --account-name "$REPORT_STORAGE_ACCOUNT" --container-name "$REPORT_STORAGE_CONTAINER" --name "" --file "/path/outside/repository/report-v1.md" --auth-mode login +``` + +Unlike the included downloader, the Azure CLI command does not compare SHA256; +check the downloaded digest separately. Do not supply account keys or SAS tokens. -Tool results now contain bearer download URLs. The sample therefore defaults both -telemetry content-capture flags to `false` before hosting. Keep URLs, transcripts, -and downloaded reports private; opting in to content capture can record them. +In the same conversation, ask the agent to read `/report-v1.md`, copy it to +`/report-v2.md`, and make the requested edits only to that copy. Ask it to read +both saved files and return clearly labeled Blob URLs and digests for both. +Download both with your own Entra identity and confirm the original saved file +and earlier Blob remain unchanged. When calling the Responses API directly, +carry the latest response ID and the hosted session ID. + +Publication failures leave the saved report editable and return no URL. Download +access is evaluated using the downloader's Entra identity and current Blob RBAC, +not possession of a link. Reports have no automatic expiry: delete your test +exports explicitly, and remove separately created Storage resources when no +longer needed. `azd down` does not own those resources. Do not remove shared CI +grants just because this sample no longer requires the delegation role. + +## Telemetry and logging + +Application diagnostics are enabled at INFO by default, including startup and +successful report publication events. The stock `ResponsesHostServer` owns +OpenTelemetry instrumentation and export; do not add a second LangChain +instrumentor or Azure Monitor configuration to this host. Connect Application +Insights to the Foundry project for hosted export; for local export, set +`APPLICATIONINSIGHTS_CONNECTION_STRING` in your local environment. Existing OTLP +configuration is also supported by the host. + +Logs and tracing remain enabled while both message/tool-content capture flags +in `.env.example` and `azure.yaml` default to `false`. Those flags control +sensitive content, not the telemetry pipeline. Publication logs include the +report filename and byte count, not report bodies, credentials, or access tokens. +Keep reports and conversations private; opt-in content recording can expose +sensitive data. See [the shared telemetry guidance](../../../README.md#telemetry-and-logging). ## Validate Blob publication @@ -220,7 +258,8 @@ uv sync --frozen uv run --frozen python -m unittest discover -s tests -v ``` -The tests cover the added tool, credential lifetime, unchanged researcher tools, +The tests cover Entra-only downloads and digest checks, the publication tool, +credential lifetime, unchanged researcher tools, report preservation, and native JSON/SSE publication success/failure. They use the real `FoundryCheckpointSaver` with its local filesystem State Store backend, including checkpoints created in the same second. SDK 1.2.12 or later is required @@ -228,11 +267,12 @@ for checkpoint-ID ordering; `uv.lock` includes this fix. External model and Blob boundaries are simulated; the original model helper and research tools are unchanged. The cloud contract checks research, publication, revision of a separate saved copy, -and reading both versions using the existing test-spec schema. It does not download -the files. For full -acceptance, run against the deployed agent, download the original and revised -snapshots, compare their returned digests and contents, and re-download the old -URL to confirm it is unchanged. Schema/offline success is not cloud acceptance. -CI's deployed instance needs the same Blob roles; missing permission must fail, +and reading both versions, plus sample-owned INFO log events and absence of SAS +parameters, using the existing test-spec schema. It does not download the files. +For full acceptance, download both snapshots with a Blob-authorized Entra user, +compare their digests and saved-file contents, and re-download the original Blob. +Also verify unauthenticated requests and an Entra user without Blob data access +are denied and create no local output. Schema/offline success is not cloud acceptance. +CI's deployed instance needs the Blob data role; missing permission must fail, not be bypassed with account keys. Retain shared CI grants until the identity is retired and no other version or run needs them. diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/.env.example b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/.env.example index d8312f5be..50ae85bda 100644 --- a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/.env.example +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/.env.example @@ -10,5 +10,10 @@ TOOLBOX_NAME=deep-agents-tools REPORT_STORAGE_ACCOUNT_URL=https://.blob.core.windows.net REPORT_STORAGE_CONTAINER=reports + +# Optional for local telemetry export; hosted Foundry supplies the connection. +APPLICATIONINSIGHTS_CONNECTION_STRING= + +# Sensitive message content is opt-in; INFO logs and tracing are enabled. AZURE_TRACING_GEN_AI_CONTENT_RECORDING_ENABLED=false OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=false diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/download_report.py b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/download_report.py new file mode 100644 index 000000000..341bd56d7 --- /dev/null +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/download_report.py @@ -0,0 +1,62 @@ +"""Download a published report using the caller's Microsoft Entra identity.""" + +from __future__ import annotations + +import argparse +import hashlib +import re +from pathlib import Path +from urllib.parse import urlsplit + +from azure.identity import DefaultAzureCredential +from azure.storage.blob import BlobClient + + +def download_report(blob_url: str, sha256: str, destination: Path) -> Path: + """Read an Entra-protected Blob and save it only after digest verification.""" + parsed = urlsplit(blob_url) + if ( + parsed.scheme != "https" + or re.fullmatch( + r"[a-z0-9]{3,24}\.blob\.core\.(windows\.net|usgovcloudapi\.net|chinacloudapi\.cn)", + parsed.hostname or "", + ) + is None + or parsed.port not in (None, 443) + or parsed.username is not None + or parsed.password is not None + or parsed.query + or parsed.fragment + or len(parsed.path.strip("/").split("/")) < 2 + ): + raise ValueError( + "Use an Azure Blob HTTPS URL without a SAS token or query string." + ) + if re.fullmatch(r"[0-9a-fA-F]{64}", sha256) is None: + raise ValueError("Use the SHA256 digest returned by publish_report.") + with ( + DefaultAzureCredential() as credential, + BlobClient.from_blob_url(blob_url, credential=credential) as blob, + ): + content = blob.download_blob().readall() + if hashlib.sha256(content).hexdigest() != sha256.lower(): + raise ValueError("Downloaded report does not match the publication SHA256.") + destination.parent.mkdir(parents=True, exist_ok=True) + destination.write_bytes(content) + return destination + + +def main() -> None: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--blob-url", required=True) + parser.add_argument("--sha256", required=True) + parser.add_argument("--output", type=Path, required=True) + arguments = parser.parse_args() + destination = download_report( + arguments.blob_url, arguments.sha256, arguments.output + ) + print(f"Downloaded and verified {destination}") + + +if __name__ == "__main__": + main() diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/main.py b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/main.py index f35e9f139..ae92c7f6d 100644 --- a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/main.py +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/main.py @@ -5,24 +5,27 @@ from __future__ import annotations import asyncio +import logging import os +from agent import build_agent from azure.identity import DefaultAzureCredential from dotenv import load_dotenv from langchain_azure_ai.agents.hosting import ( FoundryCheckpointSaver, ResponsesHostServer, ) - -from agent import build_agent from report_export import create_report_export_tool from research_agent.tools import load_tools from utils import build_chat_model load_dotenv() +logger = logging.getLogger(__name__) + async def main() -> None: + logging.basicConfig(level=logging.INFO) os.environ.setdefault("AZURE_TRACING_GEN_AI_CONTENT_RECORDING_ENABLED", "false") os.environ.setdefault("OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT", "false") async with FoundryCheckpointSaver() as checkpointer: @@ -33,7 +36,11 @@ async def main() -> None: build_chat_model(), checkpointer, tools, report_export_tool ) port = int(os.environ.get("PORT", "8088")) - await ResponsesHostServer(agent).run_async(port=port) + host = ResponsesHostServer(agent) + logger.info( + "Starting Deep Agents host with Entra-authenticated report downloads" + ) + await host.run_async(port=port) if __name__ == "__main__": diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/report_export.py b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/report_export.py index 15c66464c..f6a8627c4 100644 --- a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/report_export.py +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/report_export.py @@ -3,9 +3,10 @@ from __future__ import annotations import hashlib +import logging import os import re -from datetime import datetime, timedelta, timezone +from urllib.parse import urlsplit from uuid import uuid4 from azure.core.credentials import TokenCredential @@ -15,15 +16,15 @@ ServiceResponseError, ) from azure.storage.blob import ( - BlobSasPermissions, BlobServiceClient, ContentSettings, - generate_blob_sas, ) from deepagents.backends.utils import file_data_to_string from langchain.tools import ToolRuntime from langchain_core.tools import BaseTool, ToolException, tool +logger = logging.getLogger(__name__) + def create_report_export_tool(credential: TokenCredential) -> BaseTool: """Create a tool that uploads the current report using caller-owned credentials. @@ -32,13 +33,31 @@ def create_report_export_tool(credential: TokenCredential) -> BaseTool: credential: Azure credential kept alive by the application's exit stack. Returns: - A coordinator tool returning a one-hour, read-only Blob download URL. + A coordinator tool returning an Entra-authenticated Blob URL and digest. Raises: KeyError: The Storage account URL or container is not configured. """ account_url = os.environ["REPORT_STORAGE_ACCOUNT_URL"] container_name = os.environ["REPORT_STORAGE_CONTAINER"] + parsed = urlsplit(account_url) + if ( + parsed.scheme != "https" + or re.fullmatch( + r"[a-z0-9]{3,24}\.blob\.core\.(windows\.net|usgovcloudapi\.net|chinacloudapi\.cn)", + parsed.hostname or "", + ) + is None + or parsed.port not in (None, 443) + or parsed.username is not None + or parsed.password is not None + or parsed.query + or parsed.fragment + or parsed.path not in ("", "/") + ): + raise ValueError( + "Configure an HTTPS Storage account URL without SAS credentials." + ) @tool def publish_report(report_name: str, runtime: ToolRuntime) -> dict[str, str]: @@ -55,7 +74,8 @@ def publish_report(report_name: str, runtime: ToolRuntime) -> dict[str, str]: runtime: Injected tool runtime containing the conversation's files. Returns: - File path, SHA256, read-only HTTPS download URL, and its UTC expiry. + File path, SHA256, Blob name and URL. Download requires the caller's + own Microsoft Entra identity and Blob read permission; no SAS is issued. Raises: ToolException: Invalid report selection or an expected Blob failure. @@ -73,26 +93,19 @@ def publish_report(report_name: str, runtime: ToolRuntime) -> dict[str, str]: if not report.strip(): raise ToolException(f"The saved {file_path} is empty.") content = report.encode("utf-8") - now = datetime.now(timezone.utc) - start = now - timedelta(minutes=5) - expiry = now + timedelta(hours=1) blob_name = f"{uuid4().hex}/{report_name}" try: with BlobServiceClient(account_url, credential=credential) as storage: account_name = storage.account_name if not account_name: raise ValueError("Configure the Azure Blob Storage account URL.") - delegation_key = storage.get_user_delegation_key(start, expiry) - signature = generate_blob_sas( - account_name=account_name, - container_name=container_name, - blob_name=blob_name, - user_delegation_key=delegation_key, - permission=BlobSasPermissions(read=True), - start=start, - expiry=expiry, - protocol="https", - ) + properties = storage.get_container_client( + container_name + ).get_container_properties() + if properties.public_access is not None: + raise ToolException( + "Use a private report container; anonymous access must be disabled." + ) blob = storage.get_blob_client(container_name, blob_name) blob.upload_blob( content, @@ -102,17 +115,19 @@ def publish_report(report_name: str, runtime: ToolRuntime) -> dict[str, str]: content_disposition=f'attachment; filename="{report_name}"', ), ) + logger.info("Published report %s (%d bytes)", report_name, len(content)) return { "file_path": file_path, "sha256": hashlib.sha256(content).hexdigest(), - "download_url": f"{blob.url}?{signature}", - "expires_at": expiry.isoformat(), + "blob_name": blob_name, + "blob_url": blob.url, + "authentication": "Microsoft Entra ID", } except (HttpResponseError, ServiceRequestError, ServiceResponseError) as exc: raise ToolException( f"Publishing {file_path} failed ({type(exc).__name__}). " "The saved report remains available for editing. No download link " - "was created; check Blob permissions or connectivity before retrying." + "was returned; check Blob permissions or connectivity before retrying." ) from None publish_report.handle_tool_error = True diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/research_agent/prompts.py b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/research_agent/prompts.py index cf8b41959..5dcb14925 100644 --- a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/research_agent/prompts.py +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/research_agent/prompts.py @@ -67,15 +67,15 @@ {report_publication_instructions} """ -REPORT_PUBLICATION_STEP = """7. **Publish**: Call `publish_report(report_name="report-v1.md")` and give the user the download link and its expiry.""" +REPORT_PUBLICATION_STEP = """7. **Publish**: Call `publish_report(report_name="report-v1.md")` and return its `blob_url`, `blob_name`, and SHA256. Explain that downloading requires the user's own Microsoft Entra identity and Blob read permission, using the sample's `download_report.py` or Azure CLI with `--auth-mode login`.""" REPORT_PUBLICATION_INSTRUCTIONS = """## Report publication - Save and verify the report before publishing; publish_report reads the saved virtual file rather than an upload body. - After a requested revision, read `/report-v1.md`, copy it to `/report-v2.md`, and edit only the copy. Preserve the original file and its citations. - Run these dependent operations in separate tool rounds: wait for `read_file` to return, pass its complete report text as `write_file`'s `content`, wait for the copy to be saved, then call `edit_file`. Never create an empty copy or run the read, copy, and edit in parallel. -- Read both saved versions to verify the original is unchanged and the copy contains the requested edits. Call `publish_report(report_name="report-v2.md")` and return clearly labeled download links for both versions. Earlier download links still refer to their original snapshots. -- Return only URLs from successful `publish_report` results for the exact report name. Never construct a version's URL by changing an earlier link or claim a download is ready before publishing succeeds. -- Keep publication URLs out of the saved report. Return the URL and expiry only in your response. +- Read both saved versions to verify the original is unchanged and the copy contains the requested edits. Call `publish_report(report_name="report-v2.md")` and return clearly labeled Blob URLs and SHA256 digests for both versions. Earlier Blob URLs still refer to their original snapshots. +- Return only `blob_url` values from successful `publish_report` results for the exact report name. Never construct a version's URL by changing an earlier URL or claim a download is ready before publishing succeeds. +- Keep publication URLs out of the saved report. Blob URLs do not contain SAS tokens and are not anonymously downloadable. Do not promise that clicking the URL in a browser signs the user in; use Entra-authenticated Azure CLI or the sample downloader. - If publication fails, explain that the saved report remains available for editing and no download link was created. Never invent a link.""" RESEARCHER_INSTRUCTIONS = """You are a research assistant conducting research on the user's input topic. For context, today's date is {date}. diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/telemetry_probe.py b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/telemetry_probe.py new file mode 100644 index 000000000..cfef3267f --- /dev/null +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/telemetry_probe.py @@ -0,0 +1,128 @@ +"""Verify stock-host telemetry in a fresh process without cloud exporters.""" + +from __future__ import annotations + +import json +import logging +import os +import sys +from pathlib import Path +from tempfile import TemporaryDirectory +from unittest.mock import MagicMock, patch + +from langchain_azure_ai.agents.hosting import FoundryCheckpointSaver +from langchain_core.messages import AIMessage +from opentelemetry import trace +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import SimpleSpanProcessor +from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter +from test_workflow import ScriptedModel, call, hosted_client, response + +sys.path.insert(0, str(Path(__file__).resolve().parents[1])) + +from agent import build_agent +from report_export import create_report_export_tool + + +class Capture(logging.Handler): + def __init__(self) -> None: + super().__init__() + self.messages: list[str] = [] + + def emit(self, record: logging.LogRecord) -> None: + self.messages.append(record.getMessage()) + + +def main() -> None: + marker = "PRIVATE-REPORT-CONTENT-NOT-FOR-TELEMETRY-6137" + exporter = InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(exporter)) + trace.set_tracer_provider(provider) + storage = MagicMock() + storage.__enter__.return_value = storage + storage.account_name = "reports" + storage.get_container_client.return_value.get_container_properties.return_value.public_access = None + storage.get_blob_client.return_value.url = ( + "https://reports.blob.core.windows.net/reports/snapshot/report-v1.md" + ) + with ( + TemporaryDirectory() as directory, + patch.dict( + os.environ, + { + "AGENTSERVER_STATE_ROOT": directory, + "REPORT_STORAGE_ACCOUNT_URL": "https://reports.blob.core.windows.net", + "REPORT_STORAGE_CONTAINER": "reports", + "AZURE_TRACING_GEN_AI_CONTENT_RECORDING_ENABLED": "false", + "OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "false", + }, + ), + patch("report_export.BlobServiceClient", return_value=storage), + ): + model = ScriptedModel( + disable_streaming=True, + messages=iter( + [ + call( + "write_file", + {"file_path": "/report-v1.md", "content": marker}, + "save", + ), + call("publish_report", {"report_name": "report-v1.md"}, "publish"), + AIMessage( + content="Report available with Microsoft Entra authentication" + ), + ] + ), + ) + graph = build_agent( + model, + FoundryCheckpointSaver(MagicMock()), + [], + create_report_export_tool(MagicMock()), + ) + with hosted_client(graph) as client: + handler = Capture() + logging.getLogger().addHandler(handler) + try: + result = response(client, False, input="Publish my private report") + finally: + logging.getLogger().removeHandler(handler) + assert result["status"] == "completed" + provider.force_flush() + spans = exporter.get_finished_spans() + material = json.dumps( + [ + { + "name": span.name, + "attributes": dict(span.attributes or {}), + "events": [ + {"name": event.name, "attributes": dict(event.attributes or {})} + for event in span.events + ], + } + for span in spans + ], + default=str, + ) + assert spans, "No spans emitted by stock host" + assert marker not in material and marker not in "\n".join(handler.messages) + assert any( + "Published report report-v1.md" in message for message in handler.messages + ) + assert sum(span.name.endswith("publish_report") for span in spans) == 1 + print( + json.dumps( + { + "telemetry_enabled": True, + "publication_span_count": 1, + "sensitive_content_absent": True, + } + ) + ) + provider.shutdown() + + +if __name__ == "__main__": + main() diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_download_report.py b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_download_report.py new file mode 100644 index 000000000..d1303c7c4 --- /dev/null +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_download_report.py @@ -0,0 +1,112 @@ +"""Exercise the Entra-only downloader without contacting Azure.""" + +from __future__ import annotations + +import hashlib +import sys +import unittest +from pathlib import Path +from tempfile import TemporaryDirectory +from unittest.mock import MagicMock, patch + +from azure.core.exceptions import HttpResponseError + +sys.path.insert(0, str(Path(__file__).resolve().parents[1])) + +import download_report + + +class DownloadReportTests(unittest.TestCase): + def test_download_uses_caller_credential_and_verifies_bytes(self) -> None: + content = b"# Report\nVerified content" + digest = hashlib.sha256(content).hexdigest() + url = "https://reports.blob.core.windows.net/reports/snapshot/report-v1.md" + credential_scope = MagicMock() + credential = credential_scope.__enter__.return_value + blob_scope = MagicMock() + blob = blob_scope.__enter__.return_value + blob.download_blob.return_value.readall.return_value = content + with ( + TemporaryDirectory() as directory, + patch.object( + download_report, "DefaultAzureCredential", return_value=credential_scope + ), + patch.object( + download_report.BlobClient, "from_blob_url", return_value=blob_scope + ) as create_blob, + ): + destination = Path(directory) / "report-v1.md" + self.assertEqual( + download_report.download_report(url, digest, destination), destination + ) + self.assertEqual(destination.read_bytes(), content) + create_blob.assert_called_once_with(url, credential=credential) + credential_scope.__exit__.assert_called_once() + blob_scope.__exit__.assert_called_once() + + def test_denied_download_does_not_create_a_file_or_fall_back_to_sas(self) -> None: + with ( + TemporaryDirectory() as directory, + patch.object(download_report, "DefaultAzureCredential"), + patch.object(download_report.BlobClient, "from_blob_url") as create_blob, + ): + create_blob.return_value.__enter__.return_value.download_blob.side_effect = HttpResponseError( + "denied" + ) + destination = Path(directory) / "report.md" + with self.assertRaises(HttpResponseError): + download_report.download_report( + "https://reports.blob.core.windows.net/reports/snapshot/report.md", + "0" * 64, + destination, + ) + self.assertFalse(destination.exists()) + + def test_digest_mismatch_preserves_existing_destination(self) -> None: + with ( + TemporaryDirectory() as directory, + patch.object(download_report, "DefaultAzureCredential"), + patch.object(download_report.BlobClient, "from_blob_url") as create_blob, + ): + create_blob.return_value.__enter__.return_value.download_blob.return_value.readall.return_value = b"changed" + destination = Path(directory) / "report.md" + destination.write_bytes(b"original") + with self.assertRaisesRegex(ValueError, "SHA256"): + download_report.download_report( + "https://reports.blob.core.windows.net/reports/snapshot/report.md", + "0" * 64, + destination, + ) + self.assertEqual(destination.read_bytes(), b"original") + + def test_sas_urls_and_invalid_digests_are_rejected_before_authentication( + self, + ) -> None: + for url, digest in ( + ("https://attacker.example/reports/report.md", "0" * 64), + ( + "https://reports.blob.core.windows.net.attacker.example/reports/report.md", + "0" * 64, + ), + ( + "https://reports.blob.core.windows.net/reports/report.md?sig=secret", + "0" * 64, + ), + ("http://reports.blob.core.windows.net/reports/report.md", "0" * 64), + ( + "https://user:password@reports.blob.core.windows.net/reports/report.md", + "0" * 64, + ), + ("https://reports.blob.core.windows.net/reports/report.md", "invalid"), + ): + with ( + self.subTest(url=url), + patch.object(download_report, "DefaultAzureCredential") as credential, + ): + with self.assertRaises(ValueError): + download_report.download_report(url, digest, Path("unused.md")) + credential.assert_not_called() + + +if __name__ == "__main__": + unittest.main() diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_main.py b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_main.py index 4742b34ff..aeebd3f41 100644 --- a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_main.py +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_main.py @@ -45,6 +45,9 @@ def test_export_tool_enables_publication_step_and_revision_instructions( self.assertIn("## Report publication", instructions) self.assertIn('publish_report(report_name="report-v1.md")', instructions) self.assertIn('publish_report(report_name="report-v2.md")', instructions) + self.assertIn("Microsoft Entra", instructions) + self.assertIn("--auth-mode login", instructions) + self.assertNotIn("its expiry", instructions) self.assertEqual(create.call_args.kwargs["tools"], [*tools, export_tool]) self.assertIs(create.call_args.kwargs["subagents"][0]["tools"], tools) @@ -88,6 +91,7 @@ async def test_report_credential_is_scoped_to_host_success_and_failure( ) with ( patch.dict(os.environ, {"PORT": "8091"}), + patch.object(main.logging, "basicConfig") as configure_logging, patch.object( main, "DefaultAzureCredential", return_value=credential_scope ), @@ -100,13 +104,17 @@ async def test_report_credential_is_scoped_to_host_success_and_failure( main, "create_report_export_tool", return_value=export_tool ) as create_export, patch.object(main, "build_agent", return_value=graph) as build, - patch.object(main, "ResponsesHostServer", return_value=host), + patch.object( + main, "ResponsesHostServer", return_value=host + ) as main_host, ): if failure: with self.assertRaisesRegex(RuntimeError, "host failed"): await main.main() else: await main.main() + configure_logging.assert_called_once_with(level=main.logging.INFO) + main_host.assert_called_once_with(graph) create_export.assert_called_once_with(credential) build.assert_called_once_with( model, checkpointer, tools, export_tool diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_report_export.py b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_report_export.py index 306052f23..76b5beaa3 100644 --- a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_report_export.py +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_report_export.py @@ -7,7 +7,6 @@ import os import sys import unittest -from datetime import datetime, timedelta, timezone from pathlib import Path from typing import Any, cast from unittest.mock import MagicMock, patch @@ -43,6 +42,7 @@ def setUp(self) -> None: self.storage = MagicMock() self.storage.__enter__.return_value = self.storage self.storage.account_name = "reports" + self.storage.get_container_client.return_value.get_container_properties.return_value.public_access = None self.blobs: list[MagicMock] = [] def create_blob(container: str, name: str) -> MagicMock: @@ -58,19 +58,13 @@ def create_blob(container: str, name: str) -> MagicMock: ) self.storage_factory = storage_patch.start() self.addCleanup(storage_patch.stop) - signature_patch = patch.object( - report_export, - "generate_blob_sas", - return_value="sp=r&spr=https&sr=b&sig=test", - ) - self.sign = signature_patch.start() - self.addCleanup(signature_patch.stop) self.files: dict[str, dict[str, Any]] = { "/report-v1.md": {"content": REPORT, "encoding": "utf-8"}, "/report-v2.md": {"content": REVISED, "encoding": "utf-8"}, "/final_report.md": {"content": REPORT, "encoding": "utf-8"}, } - self.tool = report_export.create_report_export_tool(MagicMock()) + self.credential = MagicMock() + self.tool = report_export.create_report_export_tool(self.credential) def publish(self, report_name: str = "report-v1.md") -> ToolMessage: runtime = ToolRuntime( @@ -99,10 +93,10 @@ def test_publish_selects_named_saved_versions_without_editing_them(self) -> None self.assertEqual(self.files, original_files) self.assertEqual(first["file_path"], "/report-v1.md") self.assertEqual(second["file_path"], "/report-v2.md") - self.assertNotEqual(first["download_url"], second["download_url"]) + self.assertNotEqual(first["blob_url"], second["blob_url"]) self.assertEqual(second["sha256"], hashlib.sha256(REVISED.encode()).hexdigest()) - self.assertTrue(first["download_url"].split("?")[0].endswith("/report-v1.md")) - self.assertTrue(second["download_url"].split("?")[0].endswith("/report-v2.md")) + self.assertTrue(first["blob_url"].split("?")[0].endswith("/report-v1.md")) + self.assertTrue(second["blob_url"].split("?")[0].endswith("/report-v2.md")) self.assertEqual(self.blobs[0].upload_blob.call_args.args, (REPORT.encode(),)) self.assertEqual(self.blobs[1].upload_blob.call_args.args, (REVISED.encode(),)) for blob, name in zip(self.blobs, ("report-v1.md", "report-v2.md")): @@ -113,11 +107,17 @@ def test_publish_selects_named_saved_versions_without_editing_them(self) -> None f'attachment; filename="{name}"', ) self.assertEqual(self.storage.get_blob_client.call_count, 2) - self.assertEqual(self.sign.call_args.kwargs["permission"].read, True) - self.assertEqual(self.sign.call_args.kwargs["protocol"], "https") - self.assertLessEqual( - datetime.fromisoformat(second["expires_at"]), - datetime.now(timezone.utc) + timedelta(hours=1), + self.storage.get_user_delegation_key.assert_not_called() + self.storage_factory.assert_called_with( + "https://reports.blob.core.windows.net", credential=self.credential + ) + self.assertEqual(first["authentication"], "Microsoft Entra ID") + self.assertNotIn("?", first["blob_url"]) + self.assertNotIn("expires_at", first) + self.assertNotIn("download_url", first) + self.assertEqual( + first["blob_url"], + f"https://reports.blob.core.windows.net/reports/{first['blob_name']}", ) def test_schema_exposes_only_required_report_name(self) -> None: @@ -125,42 +125,44 @@ def test_schema_exposes_only_required_report_name(self) -> None: self.assertEqual(set(schema["properties"]), {"report_name"}) self.assertEqual(schema["required"], ["report_name"]) + def test_public_containers_are_rejected_without_uploading(self) -> None: + for access in ("blob", "container"): + with self.subTest(access=access): + self.storage.get_container_client.return_value.get_container_properties.return_value.public_access = access + result = self.publish() + self.assertEqual(result.status, "error") + self.assertIn("private report container", result.content) + self.storage.get_blob_client.assert_not_called() + def test_legacy_saved_content_remains_publishable(self) -> None: self.files["/report-v1.md"]["content"] = REPORT.split("\n") self.assertEqual(self.publish().status, "success") self.assertEqual(self.blobs[0].upload_blob.call_args.args, (REPORT.encode(),)) def test_expected_blob_failures_are_explicit_handled_tool_errors(self) -> None: - for operation in ("key", "upload"): - for error_type in ( - HttpResponseError, - ServiceRequestError, - ServiceResponseError, - ): - with self.subTest(operation=operation, error=error_type.__name__): - self.storage.get_user_delegation_key.side_effect = None - blob = MagicMock( - url="https://reports.blob.core.windows.net/reports/test.md" - ) - self.storage.get_blob_client.side_effect = None - self.storage.get_blob_client.return_value = blob - target = ( - self.storage.get_user_delegation_key - if operation == "key" - else blob.upload_blob - ) - target.side_effect = error_type( - "sensitive-token-must-not-be-echoed" - ) - before = copy.deepcopy(self.files) - result = self.publish() - self.assertEqual(result.status, "error") - self.assertIn("/report-v1.md", result.content) - self.assertIn("remains available for editing", result.content) - self.assertIn("No download link", result.content) - self.assertNotIn("sensitive-token", result.content) - self.assertNotIn("sig=", result.content) - self.assertEqual(self.files, before) + for error_type in ( + HttpResponseError, + ServiceRequestError, + ServiceResponseError, + ): + with self.subTest(error=error_type.__name__): + blob = MagicMock( + url="https://reports.blob.core.windows.net/reports/test.md" + ) + self.storage.get_blob_client.side_effect = None + self.storage.get_blob_client.return_value = blob + blob.upload_blob.side_effect = error_type( + "sensitive-token-must-not-be-echoed" + ) + before = copy.deepcopy(self.files) + result = self.publish() + self.assertEqual(result.status, "error") + self.assertIn("/report-v1.md", result.content) + self.assertIn("remains available for editing", result.content) + self.assertIn("No download link", result.content) + self.assertNotIn("sensitive-token", result.content) + self.assertNotIn("sig=", result.content) + self.assertEqual(self.files, before) def test_invalid_names_do_not_access_blob_storage(self) -> None: for report_name in ( @@ -186,10 +188,24 @@ def test_missing_or_empty_file_is_a_handled_error(self) -> None: self.storage_factory.assert_not_called() def test_programming_errors_are_not_silently_handled(self) -> None: - self.storage.get_user_delegation_key.side_effect = TypeError("unexpected bug") + self.storage.get_blob_client.side_effect = TypeError("unexpected bug") with self.assertRaisesRegex(TypeError, "unexpected bug"): self.publish() + def test_account_configuration_rejects_sas_and_non_storage_hosts(self) -> None: + for url in ( + "https://reports.blob.core.windows.net?sig=secret", + "https://attacker.example", + "http://reports.blob.core.windows.net", + ): + with ( + self.subTest(url=url), + patch.dict(os.environ, {"REPORT_STORAGE_ACCOUNT_URL": url}), + self.assertRaises(ValueError), + ): + report_export.create_report_export_tool(self.credential) + self.storage_factory.assert_not_called() + if __name__ == "__main__": unittest.main() diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_telemetry.py b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_telemetry.py new file mode 100644 index 000000000..690040634 --- /dev/null +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_telemetry.py @@ -0,0 +1,48 @@ +"""Check default telemetry independently of other tests' global instrumentation.""" + +from __future__ import annotations + +import json +import os +import subprocess +import sys +import unittest +from pathlib import Path + + +class DefaultTelemetryTests(unittest.TestCase): + def test_stock_host_emits_spans_and_logs_without_sensitive_content(self) -> None: + environment = dict(os.environ) + for key in ( + "OTEL_SDK_DISABLED", + "APPLICATIONINSIGHTS_CONNECTION_STRING", + "APPLICATION_INSIGHTS_CONNECTION_STRING", + "OTEL_EXPORTER_OTLP_ENDPOINT", + "OTEL_EXPORTER_OTLP_TRACES_ENDPOINT", + "OTEL_EXPORTER_OTLP_LOGS_ENDPOINT", + "OTEL_EXPORTER_OTLP_METRICS_ENDPOINT", + ): + environment.pop(key, None) + result = subprocess.run( + [sys.executable, str(Path(__file__).with_name("telemetry_probe.py"))], + env=environment, + capture_output=True, + check=False, + text=True, + timeout=60, + ) + self.assertEqual(result.returncode, 0, result.stderr[-3000:]) + summaries = [ + json.loads(line) + for line in result.stdout.splitlines() + if line.startswith('{"telemetry_enabled":') + ] + self.assertEqual(len(summaries), 1, result.stdout[-3000:]) + summary = summaries[0] + self.assertTrue(summary["telemetry_enabled"]) + self.assertEqual(summary["publication_span_count"], 1) + self.assertTrue(summary["sensitive_content_absent"]) + + +if __name__ == "__main__": + unittest.main() diff --git a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_workflow.py b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_workflow.py index c1c61edc3..451f01c8e 100644 --- a/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_workflow.py +++ b/samples/python/hosted-agents/langgraph/responses/11-deep-agents/src/langgraph-deep-agents/tests/test_workflow.py @@ -120,6 +120,7 @@ def test_named_versions_publish_selected_saved_bytes_without_overwriting( storage = MagicMock() storage.__enter__.return_value = storage storage.account_name = "reports" + storage.get_container_client.return_value.get_container_properties.return_value.public_access = None blobs: list[MagicMock] = [] def create_blob( @@ -134,9 +135,6 @@ def create_blob( storage.get_blob_client.side_effect = create_blob with ( patch("report_export.BlobServiceClient", return_value=storage), - patch( - "report_export.generate_blob_sas", return_value="sp=r&sig=test" - ), ): model = ScriptedModel( disable_streaming=True, @@ -276,7 +274,8 @@ def test_host_completes_and_preserves_editable_state_after_publication_error( storage = MagicMock() storage.__enter__.return_value = storage storage.account_name = "reports" - storage.get_user_delegation_key.side_effect = error + storage.get_container_client.return_value.get_container_properties.return_value.public_access = None + storage.get_blob_client.return_value.upload_blob.side_effect = error with patch("report_export.BlobServiceClient", return_value=storage): model = ScriptedModel( disable_streaming=True, @@ -369,7 +368,8 @@ def test_host_completes_and_preserves_editable_state_after_publication_error( self.assertEqual(len(errors), 1) self.assertEqual(errors[0].status, "error") self.assertIn("No download link", errors[0].content) - storage.get_blob_client.assert_not_called() + storage.get_blob_client.assert_called_once() + storage.get_user_delegation_key.assert_not_called() storage.__exit__.assert_called_once()