diff --git a/CLAUDE.md b/CLAUDE.md index 93ff6ed..7b2a4f1 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -78,10 +78,12 @@ formatter/linter (no black/isort/flake8). Commit `uv.lock`. - **Branch from `main`.** Branch names: `/-short-desc` (e.g. `pablo/gla2-19-observe-decorator`). Linear team key is `GLA2`. -- **Conventional Commits are mandatory** — they drive releases: - `feat:` (minor), `fix:` (patch), `feat!:` / `BREAKING CHANGE:` (major), plus - `chore:`/`docs:`/`test:`/`refactor:`/`ci:`. Non-conforming commits are ignored - for versioning. +- **PRs are squash-merged; the PR title becomes the commit on `main`** and is + what release-please reads (the squash body is blank). PR titles must therefore + be Conventional Commits: `feat:` (minor), `fix:` (patch), `feat!:` (breaking — + must be marked in the **title**, since `BREAKING CHANGE:` footers in branch + commits don't survive the squash), plus `chore:`/`docs:`/`test:`/`refactor:`/ + `ci:`. Non-conforming titles are ignored for versioning. - **No AI attribution** in commits or PRs (no `Co-Authored-By: Claude`, no "Generated with…" trailers). -- Open a PR; CI (lint/format/mypy + tests on Python 3.10–3.13) must pass to merge. +- Open a PR; CI (lint/format/mypy + tests on Python 3.10–3.14 + extras smoke) must pass to merge. diff --git a/README.md b/README.md index 3eb5c6f..68e0c08 100644 --- a/README.md +++ b/README.md @@ -85,9 +85,15 @@ glassflow.init(instruments=[]) # disable auto-instrumentation ``` Supported instruments: `openai`, `anthropic`, `langchain`, `llama-index`, -`litellm`. Content captured by third-party instrumentors is covered by the same +`litellm`, and `mcp`. Content captured by instrumentors is covered by the same `mask` / `capture_content` controls as our own spans. +The `mcp` instrument is built in: if the [`mcp`](https://pypi.org/project/mcp/) +package is installed, every `ClientSession.call_tool()` your agent makes becomes +a first-class TOOL span (`execute_tool `) with `gen_ai.tool.name`, the +arguments and result as `input.value`/`output.value`, latency, and error status +(including tools that return `isError` results). + Instrumentors patch libraries process-wide, so a scoped client (`init(set_global=False)`) only enables them when `instruments=[...]` is passed explicitly. Calling `init()` again while a client is active logs a warning and diff --git a/pyproject.toml b/pyproject.toml index 8ad47c6..96c6da9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -44,12 +44,14 @@ anthropic = ["openinference-instrumentation-anthropic>=1.0.6"] langchain = ["openinference-instrumentation-langchain>=0.1.67"] llama-index = ["openinference-instrumentation-llama-index>=4.4.3"] litellm = ["openinference-instrumentation-litellm>=0.1.34"] +mcp = ["mcp>=1.0.0"] instruments = [ "openinference-instrumentation-openai>=0.1.52", "openinference-instrumentation-anthropic>=1.0.6", "openinference-instrumentation-langchain>=0.1.67", "openinference-instrumentation-llama-index>=4.4.3", "openinference-instrumentation-litellm>=0.1.34", + "mcp>=1.0.0", ] [project.urls] @@ -75,6 +77,7 @@ dev = [ # integration tests for bundled auto-instrumentation "openai>=1.0.0", "openinference-instrumentation-openai", + "mcp>=1.28.1", ] [tool.ruff] diff --git a/src/glassflow/instrumentation.py b/src/glassflow/instrumentation.py index 64ff476..dbe8057 100644 --- a/src/glassflow/instrumentation.py +++ b/src/glassflow/instrumentation.py @@ -46,6 +46,8 @@ class InstrumentorSpec: "llama-index", "openinference.instrumentation.llama_index", "LlamaIndexInstrumentor" ), InstrumentorSpec("litellm", "openinference.instrumentation.litellm", "LiteLLMInstrumentor"), + # ours — first-class MCP tool-call spans (see instrumentation_mcp.py) + InstrumentorSpec("mcp", "glassflow.instrumentation_mcp", "MCPInstrumentor"), ) diff --git a/src/glassflow/instrumentation_mcp.py b/src/glassflow/instrumentation_mcp.py new file mode 100644 index 0000000..517b458 --- /dev/null +++ b/src/glassflow/instrumentation_mcp.py @@ -0,0 +1,111 @@ +"""First-class spans for MCP tool calls. + +Wraps ``mcp.ClientSession.call_tool`` so every tool invocation an agent makes +over MCP becomes a TOOL-kind span: tool name, arguments, result, latency, and +error status. Generic instrumentation SDKs cover MCP unevenly (the OpenInference +MCP package only propagates context; it creates no spans), so we instrument it +ourselves. Registered in :mod:`glassflow.instrumentation` under ``"mcp"`` — the +top-level import of ``mcp`` below makes an environment without the package look +"not installed" to the registry, exactly like a missing third-party instrumentor. + +Tool arguments/results are recorded as ``input.value`` / ``output.value``, so +they are covered by the same ``mask`` / ``capture_content`` controls as all +other content. +""" + +from __future__ import annotations + +import functools +from typing import Any + +from mcp import ClientSession # ImportError => registry treats "mcp" as not installed +from opentelemetry import trace +from opentelemetry.trace import Status, StatusCode + +from . import __version__ +from ._serde import serialize +from .semconv import ( + GEN_AI_TOOL_NAME, + INPUT_VALUE, + OUTPUT_VALUE, + TRACER_NAME, + SpanKind, + set_span_kind, +) + + +def _serialize_result(result: Any) -> str: + """Best-effort serialization of a CallToolResult.""" + structured = getattr(result, "structuredContent", None) + if structured is not None: + return serialize(structured) + content = getattr(result, "content", None) + if content is not None: + texts = [block.text for block in content if getattr(block, "text", None) is not None] + if texts: + return texts[0] if len(texts) == 1 else serialize(texts) + return serialize(result) + + +class MCPInstrumentor: + """Duck-types the OTel instrumentor interface (instrument/uninstrument).""" + + _instrumented = False + _original_call_tool: Any = None + _tracer: trace.Tracer | None = None + + @property + def is_instrumented_by_opentelemetry(self) -> bool: + return type(self)._instrumented + + def instrument(self, *, tracer_provider: Any = None, **kwargs: Any) -> None: + cls = type(self) + if cls._instrumented: + return + provider = tracer_provider if tracer_provider is not None else trace.get_tracer_provider() + cls._tracer = provider.get_tracer(TRACER_NAME, __version__) + original = ClientSession.call_tool + cls._original_call_tool = original + + @functools.wraps(original) + async def instrumented_call_tool( + session: ClientSession, + name: str, + arguments: dict[str, Any] | None = None, + *args: Any, + **kw: Any, + ) -> Any: + tracer = cls._tracer + if tracer is None: # uninstrumented mid-flight; fall through + return await original(session, name, arguments, *args, **kw) + with tracer.start_as_current_span( + f"execute_tool {name}", + record_exception=False, + set_status_on_exception=False, + ) as span: + set_span_kind(span, SpanKind.TOOL) + span.set_attribute(GEN_AI_TOOL_NAME, name) + if arguments is not None: + span.set_attribute(INPUT_VALUE, serialize(arguments)) + try: + result = await original(session, name, arguments, *args, **kw) + except Exception as exc: + span.record_exception(exc) + span.set_status(Status(StatusCode.ERROR, str(exc))) + raise + span.set_attribute(OUTPUT_VALUE, _serialize_result(result)) + if getattr(result, "isError", False): + span.set_status(Status(StatusCode.ERROR, "tool returned an error result")) + return result + + setattr(ClientSession, "call_tool", instrumented_call_tool) # noqa: B010 + cls._instrumented = True + + def uninstrument(self) -> None: + cls = type(self) + if not cls._instrumented: + return + ClientSession.call_tool = cls._original_call_tool # type: ignore[method-assign] + cls._original_call_tool = None + cls._tracer = None + cls._instrumented = False diff --git a/src/glassflow/semconv.py b/src/glassflow/semconv.py index b1622c6..72eac4f 100644 --- a/src/glassflow/semconv.py +++ b/src/glassflow/semconv.py @@ -30,6 +30,7 @@ GEN_AI_INPUT_MESSAGES = "gen_ai.input.messages" GEN_AI_OUTPUT_MESSAGES = "gen_ai.output.messages" GEN_AI_RESPONSE_FINISH_REASONS = "gen_ai.response.finish_reasons" +GEN_AI_TOOL_NAME = "gen_ai.tool.name" GEN_AI_REQUEST_PREFIX = "gen_ai.request." # Attribute keys carrying user content — masked/stripped at export (see masking.py). diff --git a/tests/test_mcp_instrumentation.py b/tests/test_mcp_instrumentation.py new file mode 100644 index 0000000..4cd1dbb --- /dev/null +++ b/tests/test_mcp_instrumentation.py @@ -0,0 +1,135 @@ +"""First-class MCP tool-call spans (client side: ClientSession.call_tool).""" + +from __future__ import annotations + +import asyncio +import json +from typing import Any + +import pytest +from opentelemetry.sdk.trace import ReadableSpan +from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter + +pytest.importorskip("mcp") + +from mcp.server.fastmcp import FastMCP # noqa: E402 +from mcp.shared.memory import create_connected_server_and_client_session # noqa: E402 + +from glassflow import init # noqa: E402 +from glassflow.instrumentation import REGISTRY # noqa: E402 +from glassflow.instrumentation_mcp import MCPInstrumentor # noqa: E402 + + +def _make_server() -> FastMCP: + server = FastMCP("test-server") + + @server.tool() + def add(a: int, b: int) -> int: + """Add two numbers.""" + return a + b + + @server.tool() + def boom() -> str: + """Always fails.""" + raise ValueError("tool failed") + + return server + + +@pytest.fixture(autouse=True) +def _fresh_mcp_instrumentor() -> Any: + instrumentor = MCPInstrumentor() + if instrumentor.is_instrumented_by_opentelemetry: + instrumentor.uninstrument() + yield + if instrumentor.is_instrumented_by_opentelemetry: + instrumentor.uninstrument() + + +def _run_tool_call( + tool: str, + arguments: dict[str, Any] | None, + **init_kwargs: Any, +) -> tuple[list[ReadableSpan], Any]: + inner = InMemorySpanExporter() + client = init(span_exporter=inner, set_global=False, instruments=["mcp"], **init_kwargs) + + async def scenario() -> Any: + server = _make_server() + async with create_connected_server_and_client_session(server._mcp_server) as session: + return await session.call_tool(tool, arguments) + + result = asyncio.run(scenario()) + client.flush() + return list(inner.get_finished_spans()), result + + +def test_mcp_is_a_registry_instrument() -> None: + assert "mcp" in {spec.name for spec in REGISTRY} + + +def test_call_tool_creates_tool_span() -> None: + spans, _result = _run_tool_call("add", {"a": 2, "b": 3}) + tool_spans = [s for s in spans if s.name == "execute_tool add"] + assert tool_spans, f"no tool span; got {[s.name for s in spans]}" + attrs = tool_spans[0].attributes + assert attrs is not None + assert attrs["openinference.span.kind"] == "TOOL" + assert attrs["gen_ai.operation.name"] == "execute_tool" + assert attrs["gen_ai.tool.name"] == "add" + assert json.loads(attrs["input.value"]) == {"a": 2, "b": 3} + assert "5" in attrs["output.value"] + + +def test_tool_error_result_marks_span_error() -> None: + spans, result = _run_tool_call("boom", None) + assert result.isError # FastMCP converts tool exceptions into error results + (tool_span,) = [s for s in spans if s.name == "execute_tool boom"] + assert not tool_span.status.is_ok + + +def test_tool_span_nests_under_current_span() -> None: + inner = InMemorySpanExporter() + client = init(span_exporter=inner, set_global=False, instruments=["mcp"]) + + async def scenario() -> None: + server = _make_server() + with client.get_tracer().start_as_current_span("agent-step"): + async with create_connected_server_and_client_session(server._mcp_server) as session: + await session.call_tool("add", {"a": 1, "b": 1}) + + asyncio.run(scenario()) + client.flush() + spans = {s.name: s for s in inner.get_finished_spans()} + tool_span = spans["execute_tool add"] + assert tool_span.parent is not None + assert tool_span.parent.span_id == spans["agent-step"].context.span_id + + +def test_capture_content_false_strips_tool_io_but_keeps_tool_name() -> None: + spans, _result = _run_tool_call("add", {"a": 2, "b": 3}, capture_content=False) + (tool_span,) = [s for s in spans if s.name == "execute_tool add"] + attrs = tool_span.attributes + assert attrs is not None + assert "input.value" not in attrs + assert "output.value" not in attrs + assert attrs["gen_ai.tool.name"] == "add" + + +def test_uninstrument_restores_call_tool() -> None: + spans, _result = _run_tool_call("add", {"a": 1, "b": 2}) + assert any(s.name == "execute_tool add" for s in spans) + + MCPInstrumentor().uninstrument() + + inner = InMemorySpanExporter() + client = init(span_exporter=inner, set_global=False) # scoped, no instruments + + async def scenario() -> None: + server = _make_server() + async with create_connected_server_and_client_session(server._mcp_server) as session: + await session.call_tool("add", {"a": 1, "b": 2}) + + asyncio.run(scenario()) + client.flush() + assert not any(s.name.startswith("execute_tool") for s in inner.get_finished_spans()) diff --git a/uv.lock b/uv.lock index 27b0465..54dab2a 100644 --- a/uv.lock +++ b/uv.lock @@ -2,7 +2,12 @@ version = 1 requires-python = ">=3.10" resolution-markers = [ "python_full_version >= '3.15'", - "python_full_version < '3.15'", + "python_full_version == '3.14.*' and sys_platform == 'win32'", + "python_full_version == '3.14.*' and sys_platform 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