diff --git a/.github/workflows/test-integrations-ai.yml b/.github/workflows/test-integrations-ai.yml index e0a4950824..a9a6abead3 100644 --- a/.github/workflows/test-integrations-ai.yml +++ b/.github/workflows/test-integrations-ai.yml @@ -86,6 +86,10 @@ jobs: run: | set -x # print commands that are executed ./scripts/runtox.sh "py${{ matrix.python-version }}-mcp" + - name: Test fastmcp + run: | + set -x # print commands that are executed + ./scripts/runtox.sh "py${{ matrix.python-version }}-fastmcp" - name: Test openai-base run: | set -x # print commands that are executed diff --git a/.github/workflows/test-integrations-dbs.yml b/.github/workflows/test-integrations-dbs.yml index 7d55c10230..01f00d5673 100644 --- a/.github/workflows/test-integrations-dbs.yml +++ b/.github/workflows/test-integrations-dbs.yml @@ -29,7 +29,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: ["3.6","3.7","3.8","3.9","3.10","3.11","3.12","3.13"] + python-version: ["3.6","3.7","3.8","3.9","3.10","3.11","3.12","3.13","3.14","3.14t"] # python3.6 reached EOL and is no longer being supported on # new versions of hosted runners on Github Actions # ubuntu-20.04 is the last version that supported python3.6 diff --git a/.github/workflows/test-integrations-misc.yml b/.github/workflows/test-integrations-misc.yml index 10cccaebac..3819d24b06 100644 --- a/.github/workflows/test-integrations-misc.yml +++ b/.github/workflows/test-integrations-misc.yml @@ -58,6 +58,10 @@ jobs: run: | set -x # print commands that are executed ./scripts/runtox.sh "py${{ matrix.python-version }}-opentelemetry" + - name: Test otlp + run: | + set -x # print commands that are executed + ./scripts/runtox.sh "py${{ matrix.python-version }}-otlp" - name: Test potel run: | set -x # print commands that are executed diff --git a/CHANGELOG.md b/CHANGELOG.md index a147d1b069..848ffdd17d 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,50 @@ # Changelog +## 2.45.0 + +### Various fixes & improvements + +- OTLPIntegration (#4877) by @sl0thentr0py + + Enable the new OTLP integration with the code snippet below, and your OpenTelemetry instrumentation will be automatically sent to Sentry's OTLP ingestion endpoint. + + ```python + import sentry_sdk + from sentry_sdk.integrations.otlp import OTLPIntegration + + sentry_sdk.init( + dsn="", + # Add data like inputs and responses; + # see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info + send_default_pii=True, + integrations=[ + OTLPIntegration(), + ], + ) + ``` + + Under the hood, this will setup: + - A `SpanExporter` that will automatically set up the OTLP ingestion endpoint from your DSN + - A `Propagator` that ensures Distributed Tracing works + - Trace/Span linking for all other Sentry events such as Errors, Logs, Crons and Metrics + + If you were using the `SentrySpanProcessor` before, we recommend migrating over to `OTLPIntegration` since it's a much simpler setup. + +- feat(integrations): implement context management for invoke_agent spans (#5089) by @constantinius +- feat(loguru): Capture extra (#5096) by @sentrivana +- feat: Attach `server.address` to metrics (#5113) by @alexander-alderman-webb +- fix: Cast message and detail attributes before appending exception notes (#5114) by @alexander-alderman-webb +- fix(integrations): ensure that GEN_AI_AGENT_NAME is properly set for GEN_AI spans under an invoke_agent span (#5030) by @constantinius +- fix(logs): Update `sentry.origin` (#5112) by @sentrivana +- chore: Deprecate description truncation option for Redis spans (#5073) by @alexander-alderman-webb +- chore: Deprecate `max_spans` LangChain parameter (#5074) by @alexander-alderman-webb +- chore(toxgen): Check availability of pip and add detail to exceptions (#5076) by @alexander-alderman-webb +- chore: add MCP SDK Pydantic AI and OpenAI Agents to the list of auto enabled integrations (#5111) by @constantinius +- test: add tests for either FastMCP implementation (#5075) by @constantinius +- fix(ci): Re-enable skipped tests (#5104) by @sentrivana +- ci: 🤖 Update test matrix with new releases (11/17) (#5110) by @github-actions +- ci: Force coverage core ctrace for 3.14 (#5108) by @sl0thentr0py + ## 2.44.0 ### Various fixes & improvements diff --git a/docs/conf.py b/docs/conf.py index 0d2c0e5d3e..7ab902cb38 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -31,7 +31,7 @@ copyright = "2019-{}, Sentry Team and Contributors".format(datetime.now().year) author = "Sentry Team and Contributors" -release = "2.44.0" +release = "2.45.0" version = ".".join(release.split(".")[:2]) # The short X.Y version. diff --git a/pyproject.toml b/pyproject.toml index 4441660c50..2038ccd81f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,6 +4,7 @@ [tool.coverage.run] branch = true +core = "ctrace" omit = [ "/tmp/*", "*/tests/*", diff --git a/requirements-linting.txt b/requirements-linting.txt index 1cc8274795..56c26df8de 100644 --- a/requirements-linting.txt +++ b/requirements-linting.txt @@ -7,7 +7,7 @@ types-greenlet types-redis types-setuptools types-webob -opentelemetry-distro +opentelemetry-distro[otlp] pymongo # There is no separate types module. loguru # There is no separate types module. pre-commit # local linting diff --git a/scripts/populate_tox/README.md b/scripts/populate_tox/README.md index d6c4e52147..e483ed78cb 100644 --- a/scripts/populate_tox/README.md +++ b/scripts/populate_tox/README.md @@ -7,6 +7,20 @@ sure we support everything we claim to. This `populate_tox.py` script is responsible for picking reasonable versions to test automatically and generating parts of `tox.ini` to capture this. +## Running the script + +You require a free-threaded interpreter with pip installed to run the script. With +a recent version of `uv` you can directly run the script with the following +command: + +``` +uv run --python 3.14t \ + --with pip \ + --with-requirements scripts/populate_tox/requirements.txt \ + --with-editable . \ + python scripts/populate_tox/populate_tox.py +``` + ## How it works There is a template in this directory called `tox.jinja` which contains a diff --git a/scripts/populate_tox/config.py b/scripts/populate_tox/config.py index cff6ee6045..edf09b4344 100644 --- a/scripts/populate_tox/config.py +++ b/scripts/populate_tox/config.py @@ -249,6 +249,12 @@ "*": ["pytest-asyncio"], }, }, + "fastmcp": { + "package": "fastmcp", + "deps": { + "*": ["pytest-asyncio"], + }, + }, "openai-base": { "package": "openai", "integration_name": "openai", diff --git a/scripts/populate_tox/package_dependencies.jsonl b/scripts/populate_tox/package_dependencies.jsonl index 0406b9d50a..78fad1338e 100644 --- a/scripts/populate_tox/package_dependencies.jsonl +++ 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exc.add_note( + "A dry run of pip is used to determine free-threading support of packages." + ) + raise exc + + +def _exit_if_pip_unavailable(): + pip_help_return_code = subprocess.run( + [ + sys.executable, + "-m", + "pip", + "--help", + ], + stdout=subprocess.DEVNULL, + stderr=subprocess.DEVNULL, + ).returncode + + if pip_help_return_code != 0: + exc = Exception("pip must be available.") + exc.add_note( + "A dry run of pip is used to determine free-threading support of packages." + ) + raise exc def main() -> dict[str, list]: @@ -900,6 +925,7 @@ def main() -> dict[str, list]: global MIN_PYTHON_VERSION, MAX_PYTHON_VERSION _exit_if_not_free_threaded_interpreter() + _exit_if_pip_unavailable() meta = _fetch_sdk_metadata() sdk_python_versions = _parse_python_versions_from_classifiers( diff --git a/scripts/populate_tox/releases.jsonl b/scripts/populate_tox/releases.jsonl index b04243a5a0..8deb5241a1 100644 --- a/scripts/populate_tox/releases.jsonl +++ b/scripts/populate_tox/releases.jsonl 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{"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-win_amd64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-win_arm64.whl"}, {"packagetype": "sdist", "filename": "tornado-6.5.2.tar.gz"}]} {"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: No Input/Output (Daemon)", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License (GPL)", "Natural Language :: English", "Natural Language :: French", "Natural Language :: German", "Natural Language :: Spanish", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "trytond", "requires_python": null, "version": "1.2.10", "yanked": false}, "urls": [{"packagetype": "sdist", "filename": "trytond-1.2.10.tar.gz"}]} diff --git a/scripts/populate_tox/tox.jinja b/scripts/populate_tox/tox.jinja index a04087ddfd..e4c2bcd2a5 100755 --- a/scripts/populate_tox/tox.jinja +++ b/scripts/populate_tox/tox.jinja @@ -43,6 +43,9 @@ envlist = # OpenTelemetry (OTel) {py3.7,py3.9,py3.12,py3.13,py3.14,py3.14t}-opentelemetry + # OpenTelemetry with OTLP + {py3.7,py3.9,py3.12,py3.13,py3.14}-otlp + # OpenTelemetry Experimental (POTel) {py3.8,py3.9,py3.10,py3.11,py3.12,py3.13}-potel @@ -78,6 +81,8 @@ deps = # for justification of the upper bound on pytest {py3.6,py3.7}-common: pytest<7.0.0 {py3.8,py3.9,py3.10,py3.11,py3.12,py3.13,py3.14,py3.14t}-common: pytest + # coverage 7.11.1-7.11.3 makes some of our tests flake + {py3.14,py3.14t}-common: coverage==7.11.0 # === Gevent === {py3.6,py3.7,py3.8,py3.9,py3.10,py3.11}-gevent: gevent>=22.10.0, <22.11.0 @@ -113,6 +118,9 @@ deps = # OpenTelemetry (OTel) opentelemetry: opentelemetry-distro + # OpenTelemetry with OTLP + otlp: opentelemetry-distro[otlp] + # OpenTelemetry Experimental (POTel) potel: -e .[opentelemetry-experimental] @@ -158,6 +166,7 @@ setenv = cloud_resource_context: TESTPATH=tests/integrations/cloud_resource_context gcp: TESTPATH=tests/integrations/gcp opentelemetry: TESTPATH=tests/integrations/opentelemetry + otlp: TESTPATH=tests/integrations/otlp potel: TESTPATH=tests/integrations/opentelemetry socket: TESTPATH=tests/integrations/socket diff --git a/scripts/split_tox_gh_actions/split_tox_gh_actions.py b/scripts/split_tox_gh_actions/split_tox_gh_actions.py index 59c3473d8c..291452dea0 100755 --- a/scripts/split_tox_gh_actions/split_tox_gh_actions.py +++ b/scripts/split_tox_gh_actions/split_tox_gh_actions.py @@ -79,6 +79,7 @@ "langgraph", "litellm", "mcp", + "fastmcp", "openai-base", "openai-notiktoken", "openai_agents", @@ -150,6 +151,7 @@ "Misc": [ "loguru", "opentelemetry", + "otlp", "potel", "pure_eval", "trytond", diff --git a/sentry_sdk/client.py b/sentry_sdk/client.py index 2c245297bd..928fc3ea8b 100644 --- a/sentry_sdk/client.py +++ b/sentry_sdk/client.py @@ -1006,6 +1006,13 @@ def _capture_metric(self, metric): metric["attributes"]["sentry.sdk.name"] = SDK_INFO["name"] metric["attributes"]["sentry.sdk.version"] = SDK_INFO["version"] + server_name = self.options.get("server_name") + if ( + server_name is not None + and SPANDATA.SERVER_ADDRESS not in metric["attributes"] + ): + metric["attributes"][SPANDATA.SERVER_ADDRESS] = server_name + environment = self.options.get("environment") if environment is not None and "sentry.environment" not in metric["attributes"]: metric["attributes"]["sentry.environment"] = environment diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py index 0558e239ef..641d095ca6 100644 --- a/sentry_sdk/consts.py +++ b/sentry_sdk/consts.py @@ -21,6 +21,7 @@ class EndpointType(Enum): """ ENVELOPE = "envelope" + OTLP_TRACES = "integration/otlp/v1/traces" class CompressionAlgo(Enum): @@ -1441,4 +1442,4 @@ def _get_default_options(): del _get_default_options -VERSION = "2.44.0" +VERSION = "2.45.0" diff --git a/sentry_sdk/integrations/__init__.py b/sentry_sdk/integrations/__init__.py index 1de0b83c06..4c286c87fe 100644 --- a/sentry_sdk/integrations/__init__.py +++ b/sentry_sdk/integrations/__init__.py @@ -99,7 +99,10 @@ def iter_default_integrations(with_auto_enabling_integrations): "sentry_sdk.integrations.langgraph.LanggraphIntegration", "sentry_sdk.integrations.litestar.LitestarIntegration", "sentry_sdk.integrations.loguru.LoguruIntegration", + "sentry_sdk.integrations.mcp.MCPIntegration", "sentry_sdk.integrations.openai.OpenAIIntegration", + "sentry_sdk.integrations.openai_agents.OpenAIAgentsIntegration", + "sentry_sdk.integrations.pydantic_ai.PydanticAIIntegration", "sentry_sdk.integrations.pymongo.PyMongoIntegration", "sentry_sdk.integrations.pyramid.PyramidIntegration", "sentry_sdk.integrations.quart.QuartIntegration", diff --git a/sentry_sdk/integrations/langchain.py b/sentry_sdk/integrations/langchain.py index 1f5b41bd43..8cb98bde0b 100644 --- a/sentry_sdk/integrations/langchain.py +++ b/sentry_sdk/integrations/langchain.py @@ -1,6 +1,9 @@ +import contextvars import itertools +import warnings from collections import OrderedDict from functools import wraps +import sys import sentry_sdk from sentry_sdk.ai.monitoring import set_ai_pipeline_name @@ -72,18 +75,62 @@ } +# Contextvar to track agent names in a stack for re-entrant agent support +_agent_stack = contextvars.ContextVar("langchain_agent_stack", default=None) # type: contextvars.ContextVar[Optional[List[Optional[str]]]] + + +def _push_agent(agent_name): + # type: (Optional[str]) -> None + """Push an agent name onto the stack.""" + stack = _agent_stack.get() + if stack is None: + stack = [] + else: + # Copy the list to maintain contextvar isolation across async contexts + stack = stack.copy() + stack.append(agent_name) + _agent_stack.set(stack) + + +def _pop_agent(): + # type: () -> Optional[str] + """Pop an agent name from the stack and return it.""" + stack = _agent_stack.get() + if stack: + # Copy the list to maintain contextvar isolation across async contexts + stack = stack.copy() + agent_name = stack.pop() + _agent_stack.set(stack) + return agent_name + return None + + +def _get_current_agent(): + # type: () -> Optional[str] + """Get the current agent name (top of stack) without removing it.""" + stack = _agent_stack.get() + if stack: + return stack[-1] + return None + + class LangchainIntegration(Integration): identifier = "langchain" origin = f"auto.ai.{identifier}" - # The most number of spans (e.g., LLM calls) that can be processed at the same time. - max_spans = 1024 - - def __init__(self, include_prompts=True, max_spans=1024): - # type: (LangchainIntegration, bool, int) -> None + def __init__(self, include_prompts=True, max_spans=None): + # type: (LangchainIntegration, bool, Optional[int]) -> None self.include_prompts = include_prompts self.max_spans = max_spans + if max_spans is not None: + warnings.warn( + "The `max_spans` parameter of `LangchainIntegration` is " + "deprecated and will be removed in version 3.0 of sentry-sdk.", + DeprecationWarning, + stacklevel=2, + ) + @staticmethod def setup_once(): # type: () -> None @@ -108,7 +155,7 @@ class SentryLangchainCallback(BaseCallbackHandler): # type: ignore[misc] """Callback handler that creates Sentry spans.""" def __init__(self, max_span_map_size, include_prompts): - # type: (int, bool) -> None + # type: (Optional[int], bool) -> None self.span_map = OrderedDict() # type: OrderedDict[UUID, WatchedSpan] self.max_span_map_size = max_span_map_size self.include_prompts = include_prompts @@ -116,9 +163,10 @@ def __init__(self, max_span_map_size, include_prompts): def gc_span_map(self): # type: () -> None - while len(self.span_map) > self.max_span_map_size: - run_id, watched_span = self.span_map.popitem(last=False) - self._exit_span(watched_span, run_id) + if self.max_span_map_size is not None: + while len(self.span_map) > self.max_span_map_size: + run_id, watched_span = self.span_map.popitem(last=False) + self._exit_span(watched_span, run_id) def _handle_error(self, run_id, error): # type: (UUID, Any) -> None @@ -276,6 +324,10 @@ def on_chat_model_start(self, serialized, messages, *, run_id, **kwargs): elif "openai" in ai_type: span.set_data(SPANDATA.GEN_AI_SYSTEM, "openai") + agent_name = _get_current_agent() + if agent_name: + span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name) + for key, attribute in DATA_FIELDS.items(): if key in all_params and all_params[key] is not None: set_data_normalized(span, attribute, all_params[key], unpack=False) @@ -428,6 +480,10 @@ def on_tool_start(self, serialized, input_str, *, run_id, **kwargs): if tool_description is not None: span.set_data(SPANDATA.GEN_AI_TOOL_DESCRIPTION, tool_description) + agent_name = _get_current_agent() + if agent_name: + span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name) + if should_send_default_pii() and self.include_prompts: set_data_normalized( span, @@ -756,45 +812,50 @@ def new_invoke(self, *args, **kwargs): name=f"invoke_agent {agent_name}" if agent_name else "invoke_agent", origin=LangchainIntegration.origin, ) as span: - if agent_name: - span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name) - - span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "invoke_agent") - span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, False) - - _set_tools_on_span(span, tools) - - # Run the agent - result = f(self, *args, **kwargs) - - input = result.get("input") - if ( - input is not None - and should_send_default_pii() - and integration.include_prompts - ): - normalized_messages = normalize_message_roles([input]) - scope = sentry_sdk.get_current_scope() - messages_data = truncate_and_annotate_messages( - normalized_messages, span, scope - ) - if messages_data is not None: - set_data_normalized( - span, - SPANDATA.GEN_AI_REQUEST_MESSAGES, - messages_data, - unpack=False, + _push_agent(agent_name) + try: + if agent_name: + span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name) + + span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "invoke_agent") + span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, False) + + _set_tools_on_span(span, tools) + + # Run the agent + result = f(self, *args, **kwargs) + + input = result.get("input") + if ( + input is not None + and should_send_default_pii() + and integration.include_prompts + ): + normalized_messages = normalize_message_roles([input]) + scope = sentry_sdk.get_current_scope() + messages_data = truncate_and_annotate_messages( + normalized_messages, span, scope ) + if messages_data is not None: + set_data_normalized( + span, + SPANDATA.GEN_AI_REQUEST_MESSAGES, + messages_data, + unpack=False, + ) - output = result.get("output") - if ( - output is not None - and should_send_default_pii() - and integration.include_prompts - ): - set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output) + output = result.get("output") + if ( + output is not None + and should_send_default_pii() + and integration.include_prompts + ): + set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output) - return result + return result + finally: + # Ensure agent is popped even if an exception occurs + _pop_agent() return new_invoke @@ -814,11 +875,13 @@ def new_stream(self, *args, **kwargs): span = start_span_function( op=OP.GEN_AI_INVOKE_AGENT, - name=f"invoke_agent {agent_name}".strip(), + name=f"invoke_agent {agent_name}" if agent_name else "invoke_agent", origin=LangchainIntegration.origin, ) span.__enter__() + _push_agent(agent_name) + if agent_name: span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name) @@ -853,41 +916,57 @@ def new_stream(self, *args, **kwargs): def new_iterator(): # type: () -> Iterator[Any] - for event in old_iterator: - yield event - + exc_info = (None, None, None) # type: tuple[Any, Any, Any] try: - output = event.get("output") - except Exception: - output = None - - if ( - output is not None - and should_send_default_pii() - and integration.include_prompts - ): - set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output) + for event in old_iterator: + yield event - span.__exit__(None, None, None) + try: + output = event.get("output") + except Exception: + output = None + + if ( + output is not None + and should_send_default_pii() + and integration.include_prompts + ): + set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output) + except Exception: + exc_info = sys.exc_info() + set_span_errored(span) + raise + finally: + # Ensure cleanup happens even if iterator is abandoned or fails + _pop_agent() + span.__exit__(*exc_info) async def new_iterator_async(): # type: () -> AsyncIterator[Any] - async for event in old_iterator: - yield event - + exc_info = (None, None, None) # type: tuple[Any, Any, Any] try: - output = event.get("output") - except Exception: - output = None - - if ( - output is not None - and should_send_default_pii() - and integration.include_prompts - ): - set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output) + async for event in old_iterator: + yield event - span.__exit__(None, None, None) + try: + output = event.get("output") + except Exception: + output = None + + if ( + output is not None + and should_send_default_pii() + and integration.include_prompts + ): + set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output) + except Exception: + exc_info = sys.exc_info() + set_span_errored(span) + raise + finally: + # Ensure cleanup happens even if iterator is abandoned or fails + _pop_agent() + span.__exit__(*exc_info) if str(type(result)) == "": result = new_iterator_async() diff --git a/sentry_sdk/integrations/logging.py b/sentry_sdk/integrations/logging.py index 7e16943b28..9c68596be8 100644 --- a/sentry_sdk/integrations/logging.py +++ b/sentry_sdk/integrations/logging.py @@ -358,7 +358,7 @@ def _capture_log_from_record(self, client, record): project_root = client.options["project_root"] attrs = self._extra_from_record(record) # type: Any - attrs["sentry.origin"] = "auto.logger.log" + attrs["sentry.origin"] = "auto.log.stdlib" parameters_set = False if record.args is not None: diff --git a/sentry_sdk/integrations/loguru.py b/sentry_sdk/integrations/loguru.py index 2c0279d0ce..96d2b6a7ae 100644 --- a/sentry_sdk/integrations/loguru.py +++ b/sentry_sdk/integrations/loguru.py @@ -8,7 +8,7 @@ _BaseHandler, ) from sentry_sdk.logger import _log_level_to_otel -from sentry_sdk.utils import has_logs_enabled +from sentry_sdk.utils import has_logs_enabled, safe_repr from typing import TYPE_CHECKING @@ -167,7 +167,7 @@ def loguru_sentry_logs_handler(message): record["level"].no, SEVERITY_TO_OTEL_SEVERITY ) - attrs = {"sentry.origin": "auto.logger.loguru"} # type: dict[str, Any] + attrs = {"sentry.origin": "auto.log.loguru"} # type: dict[str, Any] project_root = client.options["project_root"] if record.get("file"): @@ -193,6 +193,14 @@ def loguru_sentry_logs_handler(message): if record.get("name"): attrs["logger.name"] = record["name"] + extra = record.get("extra") + if isinstance(extra, dict): + for key, value in extra.items(): + if isinstance(value, (str, int, float, bool)): + attrs[f"sentry.message.parameter.{key}"] = value + else: + attrs[f"sentry.message.parameter.{key}"] = safe_repr(value) + client._capture_log( { "severity_text": otel_severity_text, diff --git a/sentry_sdk/integrations/otlp.py b/sentry_sdk/integrations/otlp.py new file mode 100644 index 0000000000..7fa705b832 --- /dev/null +++ b/sentry_sdk/integrations/otlp.py @@ -0,0 +1,82 @@ +from sentry_sdk.integrations import Integration, DidNotEnable +from sentry_sdk.scope import register_external_propagation_context +from sentry_sdk.utils import logger, Dsn +from sentry_sdk.consts import VERSION, EndpointType + +try: + from opentelemetry import trace + from opentelemetry.propagate import set_global_textmap + from opentelemetry.sdk.trace import TracerProvider + from opentelemetry.sdk.trace.export import BatchSpanProcessor + from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter + + from sentry_sdk.integrations.opentelemetry.propagator import SentryPropagator +except ImportError: + raise DidNotEnable("opentelemetry-distro[otlp] is not installed") + +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from typing import Optional, Dict, Any, Tuple + + +def otel_propagation_context(): + # type: () -> Optional[Tuple[str, str]] + """ + Get the (trace_id, span_id) from opentelemetry if exists. + """ + ctx = trace.get_current_span().get_span_context() + + if ctx.trace_id == trace.INVALID_TRACE_ID or ctx.span_id == trace.INVALID_SPAN_ID: + return None + + return (trace.format_trace_id(ctx.trace_id), trace.format_span_id(ctx.span_id)) + + +def setup_otlp_exporter(dsn=None): + # type: (Optional[str]) -> None + tracer_provider = trace.get_tracer_provider() + + if not isinstance(tracer_provider, TracerProvider): + logger.debug("[OTLP] No TracerProvider configured by user, creating a new one") + tracer_provider = TracerProvider() + trace.set_tracer_provider(tracer_provider) + + endpoint = None + headers = None + if dsn: + auth = Dsn(dsn).to_auth(f"sentry.python/{VERSION}") + endpoint = auth.get_api_url(EndpointType.OTLP_TRACES) + headers = {"X-Sentry-Auth": auth.to_header()} + logger.debug(f"[OTLP] Sending traces to {endpoint}") + + otlp_exporter = OTLPSpanExporter(endpoint=endpoint, headers=headers) + span_processor = BatchSpanProcessor(otlp_exporter) + tracer_provider.add_span_processor(span_processor) + + +class OTLPIntegration(Integration): + identifier = "otlp" + + def __init__(self, setup_otlp_exporter=True, setup_propagator=True): + # type: (bool, bool) -> None + self.setup_otlp_exporter = setup_otlp_exporter + self.setup_propagator = setup_propagator + + @staticmethod + def setup_once(): + # type: () -> None + logger.debug("[OTLP] Setting up trace linking for all events") + register_external_propagation_context(otel_propagation_context) + + def setup_once_with_options(self, options=None): + # type: (Optional[Dict[str, Any]]) -> None + if self.setup_otlp_exporter: + logger.debug("[OTLP] Setting up OTLP exporter") + dsn = options.get("dsn") if options else None # type: Optional[str] + setup_otlp_exporter(dsn) + + if self.setup_propagator: + logger.debug("[OTLP] Setting up propagator for distributed tracing") + # TODO-neel better propagator support, chain with existing ones if possible instead of replacing + set_global_textmap(SentryPropagator()) diff --git a/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py b/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py index 5e0515b3c3..5b58d8f128 100644 --- a/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py +++ b/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py @@ -3,7 +3,7 @@ import sentry_sdk from ..spans import invoke_agent_span, update_invoke_agent_span -from ..utils import _capture_exception +from ..utils import _capture_exception, pop_agent, push_agent from typing import TYPE_CHECKING from pydantic_ai.agent import Agent # type: ignore @@ -41,17 +41,20 @@ async def __aenter__(self): self._isolation_scope = sentry_sdk.isolation_scope() self._isolation_scope.__enter__() - # Store agent reference and streaming flag - sentry_sdk.get_current_scope().set_context( - "pydantic_ai_agent", {"_agent": self.agent, "_streaming": self.is_streaming} - ) - # Create invoke_agent span (will be closed in __aexit__) self._span = invoke_agent_span( - self.user_prompt, self.agent, self.model, self.model_settings + self.user_prompt, + self.agent, + self.model, + self.model_settings, + self.is_streaming, ) self._span.__enter__() + # Push agent to contextvar stack after span is successfully created and entered + # This ensures proper pairing with pop_agent() in __aexit__ even if exceptions occur + push_agent(self.agent, self.is_streaming) + # Enter the original context manager result = await self.original_ctx_manager.__aenter__() self._result = result @@ -71,7 +74,9 @@ async def __aexit__(self, exc_type, exc_val, exc_tb): if self._span is not None: update_invoke_agent_span(self._span, output) finally: - sentry_sdk.get_current_scope().remove_context("pydantic_ai_agent") + # Pop agent from contextvar stack + pop_agent() + # Clean up invoke span if self._span: self._span.__exit__(exc_type, exc_val, exc_tb) @@ -97,19 +102,19 @@ async def wrapper(self, *args, **kwargs): # Isolate each workflow so that when agents are run in asyncio tasks they # don't touch each other's scopes with sentry_sdk.isolation_scope(): - # Store agent reference and streaming flag in Sentry scope for access in nested spans - # We store the full agent to allow access to tools and system prompts - sentry_sdk.get_current_scope().set_context( - "pydantic_ai_agent", {"_agent": self, "_streaming": is_streaming} - ) - # Extract parameters for the span user_prompt = kwargs.get("user_prompt") or (args[0] if args else None) model = kwargs.get("model") model_settings = kwargs.get("model_settings") # Create invoke_agent span - with invoke_agent_span(user_prompt, self, model, model_settings) as span: + with invoke_agent_span( + user_prompt, self, model, model_settings, is_streaming + ) as span: + # Push agent to contextvar stack after span is successfully created and entered + # This ensures proper pairing with pop_agent() in finally even if exceptions occur + push_agent(self, is_streaming) + try: result = await original_func(self, *args, **kwargs) @@ -122,7 +127,8 @@ async def wrapper(self, *args, **kwargs): _capture_exception(exc) raise exc from None finally: - sentry_sdk.get_current_scope().remove_context("pydantic_ai_agent") + # Pop agent from contextvar stack + pop_agent() return wrapper diff --git a/sentry_sdk/integrations/pydantic_ai/patches/tools.py b/sentry_sdk/integrations/pydantic_ai/patches/tools.py index 671b00ec95..1940be811f 100644 --- a/sentry_sdk/integrations/pydantic_ai/patches/tools.py +++ b/sentry_sdk/integrations/pydantic_ai/patches/tools.py @@ -5,7 +5,10 @@ import sentry_sdk from ..spans import execute_tool_span, update_execute_tool_span -from ..utils import _capture_exception +from ..utils import ( + _capture_exception, + get_current_agent, +) from typing import TYPE_CHECKING @@ -49,29 +52,43 @@ async def wrapped_call_tool(self, call, *args, **kwargs): if tool and HAS_MCP and isinstance(tool.toolset, MCPServer): tool_type = "mcp" - # Get agent from Sentry scope - current_span = sentry_sdk.get_current_span() - if current_span and tool: - agent_data = ( - sentry_sdk.get_current_scope()._contexts.get("pydantic_ai_agent") or {} - ) - agent = agent_data.get("_agent") + # Get agent from contextvar + agent = get_current_agent() + if agent and tool: try: args_dict = call.args_as_dict() except Exception: args_dict = call.args if isinstance(call.args, dict) else {} - with execute_tool_span(name, args_dict, agent, tool_type=tool_type) as span: - try: - result = await original_call_tool(self, call, *args, **kwargs) - update_execute_tool_span(span, result) - return result - except Exception as exc: - _capture_exception(exc) - raise exc from None + # Create execute_tool span + # Nesting is handled by isolation_scope() to ensure proper parent-child relationships + with sentry_sdk.isolation_scope(): + with execute_tool_span( + name, + args_dict, + agent, + tool_type=tool_type, + ) as span: + try: + result = await original_call_tool( + self, + call, + *args, + **kwargs, + ) + update_execute_tool_span(span, result) + return result + except Exception as exc: + _capture_exception(exc) + raise exc from None # No span context - just call original - return await original_call_tool(self, call, *args, **kwargs) + return await original_call_tool( + self, + call, + *args, + **kwargs, + ) ToolManager._call_tool = wrapped_call_tool diff --git a/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py b/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py index 735e814acd..a2bd0272d4 100644 --- a/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py +++ b/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py @@ -10,6 +10,8 @@ _set_model_data, _should_send_prompts, _get_model_name, + get_current_agent, + get_is_streaming, ) from typing import TYPE_CHECKING @@ -216,20 +218,11 @@ def ai_client_span(messages, agent, model, model_settings): _set_agent_data(span, agent) _set_model_data(span, model, model_settings) - # Set streaming flag - agent_data = sentry_sdk.get_current_scope()._contexts.get("pydantic_ai_agent") or {} - is_streaming = agent_data.get("_streaming", False) - span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, is_streaming) + # Set streaming flag from contextvar + span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, get_is_streaming()) # Add available tools if agent is available - agent_obj = agent - if not agent_obj: - # Try to get from Sentry scope - agent_data = ( - sentry_sdk.get_current_scope()._contexts.get("pydantic_ai_agent") or {} - ) - agent_obj = agent_data.get("_agent") - + agent_obj = agent or get_current_agent() _set_available_tools(span, agent_obj) # Set input messages (full conversation history) diff --git a/sentry_sdk/integrations/pydantic_ai/spans/execute_tool.py b/sentry_sdk/integrations/pydantic_ai/spans/execute_tool.py index 2094c53a40..329895778d 100644 --- a/sentry_sdk/integrations/pydantic_ai/spans/execute_tool.py +++ b/sentry_sdk/integrations/pydantic_ai/spans/execute_tool.py @@ -8,7 +8,7 @@ from typing import TYPE_CHECKING if TYPE_CHECKING: - from typing import Any + from typing import Any, Optional def execute_tool_span(tool_name, tool_args, agent, tool_type="function"): diff --git a/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py b/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py index d6fb86918c..f5e22fb346 100644 --- a/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py +++ b/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py @@ -16,8 +16,8 @@ from typing import Any -def invoke_agent_span(user_prompt, agent, model, model_settings): - # type: (Any, Any, Any, Any) -> sentry_sdk.tracing.Span +def invoke_agent_span(user_prompt, agent, model, model_settings, is_streaming=False): + # type: (Any, Any, Any, Any, bool) -> sentry_sdk.tracing.Span """Create a span for invoking the agent.""" # Determine agent name for span name = "agent" diff --git a/sentry_sdk/integrations/pydantic_ai/utils.py b/sentry_sdk/integrations/pydantic_ai/utils.py index a7f5290d50..532fb7ddb6 100644 --- a/sentry_sdk/integrations/pydantic_ai/utils.py +++ b/sentry_sdk/integrations/pydantic_ai/utils.py @@ -1,4 +1,5 @@ import sentry_sdk +from contextvars import ContextVar from sentry_sdk.consts import SPANDATA from sentry_sdk.scope import should_send_default_pii from sentry_sdk.tracing_utils import set_span_errored @@ -7,7 +8,47 @@ from typing import TYPE_CHECKING if TYPE_CHECKING: - from typing import Any + from typing import Any, Optional + + +# Store the current agent context in a contextvar for re-entrant safety +# Using a list as a stack to support nested agent calls +_agent_context_stack = ContextVar("pydantic_ai_agent_context_stack", default=[]) # type: ContextVar[list[dict[str, Any]]] + + +def push_agent(agent, is_streaming=False): + # type: (Any, bool) -> None + """Push an agent context onto the stack along with its streaming flag.""" + stack = _agent_context_stack.get().copy() + stack.append({"agent": agent, "is_streaming": is_streaming}) + _agent_context_stack.set(stack) + + +def pop_agent(): + # type: () -> None + """Pop an agent context from the stack.""" + stack = _agent_context_stack.get().copy() + if stack: + stack.pop() + _agent_context_stack.set(stack) + + +def get_current_agent(): + # type: () -> Any + """Get the current agent from the contextvar stack.""" + stack = _agent_context_stack.get() + if stack: + return stack[-1]["agent"] + return None + + +def get_is_streaming(): + # type: () -> bool + """Get the streaming flag from the contextvar stack.""" + stack = _agent_context_stack.get() + if stack: + return stack[-1].get("is_streaming", False) + return False def _should_send_prompts(): @@ -37,23 +78,20 @@ def _set_agent_data(span, agent): Args: span: The span to set data on - agent: Agent object (can be None, will try to get from Sentry scope if not provided) + agent: Agent object (can be None, will try to get from contextvar if not provided) """ - # Extract agent name from agent object or Sentry scope + # Extract agent name from agent object or contextvar agent_obj = agent if not agent_obj: - # Try to get from Sentry scope - agent_data = ( - sentry_sdk.get_current_scope()._contexts.get("pydantic_ai_agent") or {} - ) - agent_obj = agent_data.get("_agent") + # Try to get from contextvar + agent_obj = get_current_agent() if agent_obj and hasattr(agent_obj, "name") and agent_obj.name: span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_obj.name) def _get_model_name(model_obj): - # type: (Any) -> str | None + # type: (Any) -> Optional[str] """Extract model name from a model object. Args: @@ -87,9 +125,8 @@ def _set_model_data(span, model, model_settings): model: Model object (can be None, will try to get from agent if not provided) model_settings: Model settings (can be None, will try to get from agent if not provided) """ - # Try to get agent from Sentry scope if we need it - agent_data = sentry_sdk.get_current_scope()._contexts.get("pydantic_ai_agent") or {} - agent_obj = agent_data.get("_agent") + # Try to get agent from contextvar if we need it + agent_obj = get_current_agent() # Extract model information model_obj = model diff --git a/sentry_sdk/integrations/redis/__init__.py b/sentry_sdk/integrations/redis/__init__.py index f443138295..9595794e74 100644 --- a/sentry_sdk/integrations/redis/__init__.py +++ b/sentry_sdk/integrations/redis/__init__.py @@ -1,3 +1,5 @@ +import warnings + from sentry_sdk.integrations import Integration, DidNotEnable from sentry_sdk.integrations.redis.consts import _DEFAULT_MAX_DATA_SIZE from sentry_sdk.integrations.redis.rb import _patch_rb @@ -16,10 +18,18 @@ class RedisIntegration(Integration): identifier = "redis" def __init__(self, max_data_size=_DEFAULT_MAX_DATA_SIZE, cache_prefixes=None): - # type: (int, Optional[list[str]]) -> None + # type: (Optional[int], Optional[list[str]]) -> None self.max_data_size = max_data_size self.cache_prefixes = cache_prefixes if cache_prefixes is not None else [] + if max_data_size is not None: + warnings.warn( + "The `max_data_size` parameter of `RedisIntegration` is " + "deprecated and will be removed in version 3.0 of sentry-sdk.", + DeprecationWarning, + stacklevel=2, + ) + @staticmethod def setup_once(): # type: () -> None diff --git a/sentry_sdk/integrations/redis/consts.py b/sentry_sdk/integrations/redis/consts.py index 737e829735..0822c2c930 100644 --- a/sentry_sdk/integrations/redis/consts.py +++ b/sentry_sdk/integrations/redis/consts.py @@ -16,4 +16,4 @@ ] _MAX_NUM_ARGS = 10 # Trim argument lists to this many values _MAX_NUM_COMMANDS = 10 # Trim command lists to this many values -_DEFAULT_MAX_DATA_SIZE = 1024 +_DEFAULT_MAX_DATA_SIZE = None diff --git a/sentry_sdk/integrations/redis/modules/caches.py b/sentry_sdk/integrations/redis/modules/caches.py index c6fc19f5b2..07b418ad0d 100644 --- a/sentry_sdk/integrations/redis/modules/caches.py +++ b/sentry_sdk/integrations/redis/modules/caches.py @@ -66,10 +66,7 @@ def _get_cache_span_description(redis_command, args, kwargs, integration): # type: (str, tuple[Any, ...], dict[str, Any], RedisIntegration) -> str description = _key_as_string(_get_safe_key(redis_command, args, kwargs)) - data_should_be_truncated = ( - integration.max_data_size and len(description) > integration.max_data_size - ) - if data_should_be_truncated: + if integration.max_data_size and len(description) > integration.max_data_size: description = description[: integration.max_data_size - len("...")] + "..." return description diff --git a/sentry_sdk/integrations/redis/modules/queries.py b/sentry_sdk/integrations/redis/modules/queries.py index e0d85a4ef7..a4229a4d5d 100644 --- a/sentry_sdk/integrations/redis/modules/queries.py +++ b/sentry_sdk/integrations/redis/modules/queries.py @@ -34,10 +34,7 @@ def _get_db_span_description(integration, command_name, args): with capture_internal_exceptions(): description = _get_safe_command(command_name, args) - data_should_be_truncated = ( - integration.max_data_size and len(description) > integration.max_data_size - ) - if data_should_be_truncated: + if integration.max_data_size and len(description) > integration.max_data_size: description = description[: integration.max_data_size - len("...")] + "..." return description diff --git a/sentry_sdk/utils.py b/sentry_sdk/utils.py index eae6156b13..d6dd5c29b2 100644 --- a/sentry_sdk/utils.py +++ b/sentry_sdk/utils.py @@ -654,7 +654,7 @@ def get_errno(exc_value): def get_error_message(exc_value): # type: (Optional[BaseException]) -> str - message = ( + message = safe_str( getattr(exc_value, "message", "") or getattr(exc_value, "detail", "") or safe_str(exc_value) diff --git a/setup.py b/setup.py index 4d419e2d86..cde3741d32 100644 --- a/setup.py +++ b/setup.py @@ -21,7 +21,7 @@ def get_file_text(file_name): setup( name="sentry-sdk", - version="2.44.0", + version="2.45.0", author="Sentry Team and Contributors", author_email="hello@sentry.io", url="https://github.com/getsentry/sentry-python", @@ -73,6 +73,7 @@ def get_file_text(file_name): "openfeature": ["openfeature-sdk>=0.7.1"], "opentelemetry": ["opentelemetry-distro>=0.35b0"], "opentelemetry-experimental": ["opentelemetry-distro"], + "opentelemetry-otlp": ["opentelemetry-distro[otlp]>=0.35b0"], "pure-eval": ["pure_eval", "executing", "asttokens"], "pydantic_ai": ["pydantic-ai>=1.0.0"], "pymongo": ["pymongo>=3.1"], diff --git a/tests/integrations/fastmcp/__init__.py b/tests/integrations/fastmcp/__init__.py new file mode 100644 index 0000000000..01ef442500 --- /dev/null +++ b/tests/integrations/fastmcp/__init__.py @@ -0,0 +1,3 @@ +import pytest + +pytest.importorskip("mcp") diff --git a/tests/integrations/fastmcp/test_fastmcp.py b/tests/integrations/fastmcp/test_fastmcp.py new file mode 100644 index 0000000000..ef2a1f9cb7 --- /dev/null +++ b/tests/integrations/fastmcp/test_fastmcp.py @@ -0,0 +1,1135 @@ +""" +Unit tests for the Sentry MCP integration with FastMCP. + +This test suite verifies that Sentry's MCPIntegration properly instruments +both FastMCP implementations: +- mcp.server.fastmcp.FastMCP (FastMCP from the mcp package) +- fastmcp.FastMCP (standalone fastmcp package) + +Tests focus on verifying Sentry integration behavior: +- Integration doesn't break FastMCP functionality +- Span creation when tools/prompts/resources are called through MCP protocol +- Span data accuracy (operation, description, origin, etc.) +- Error capture and instrumentation +- PII and include_prompts flag behavior +- Request context data extraction +- Transport detection (stdio, http, sse) + +All tests invoke tools/prompts/resources through the MCP Server's low-level +request handlers (via CallToolRequest, GetPromptRequest, ReadResourceRequest) +to properly trigger Sentry instrumentation and span creation. This ensures +accurate testing of the integration's behavior in real MCP Server scenarios. +""" + +import asyncio +import json +import pytest +from unittest import mock + +try: + from unittest.mock import AsyncMock +except ImportError: + + class AsyncMock(mock.MagicMock): + async def __call__(self, *args, **kwargs): + return super(AsyncMock, self).__call__(*args, **kwargs) + + +from sentry_sdk import start_transaction +from sentry_sdk.consts import SPANDATA, OP +from sentry_sdk.integrations.mcp import MCPIntegration + +# Try to import both FastMCP implementations +try: + from mcp.server.fastmcp import FastMCP as MCPFastMCP + + HAS_MCP_FASTMCP = True +except ImportError: + HAS_MCP_FASTMCP = False + MCPFastMCP = None + +try: + from fastmcp import FastMCP as StandaloneFastMCP + + HAS_STANDALONE_FASTMCP = True +except ImportError: + HAS_STANDALONE_FASTMCP = False + StandaloneFastMCP = None + +# Try to import request_ctx for context testing +try: + from mcp.server.lowlevel.server import request_ctx +except ImportError: + request_ctx = None + +# Try to import MCP types for helper functions +try: + from mcp.types import CallToolRequest, GetPromptRequest, ReadResourceRequest +except ImportError: + # If mcp.types not available, tests will be skipped anyway + CallToolRequest = None + GetPromptRequest = None + ReadResourceRequest = None + + +# Collect available FastMCP implementations for parametrization +fastmcp_implementations = [] +fastmcp_ids = [] + +if HAS_MCP_FASTMCP: + fastmcp_implementations.append(MCPFastMCP) + fastmcp_ids.append("mcp.server.fastmcp") + +if HAS_STANDALONE_FASTMCP: + fastmcp_implementations.append(StandaloneFastMCP) + fastmcp_ids.append("fastmcp") + + +# Helper functions to call tools through MCP Server protocol +def call_tool_through_mcp(mcp_instance, tool_name, arguments): + """ + Call a tool through MCP Server's low-level handler. + This properly triggers Sentry instrumentation. + + Args: + mcp_instance: The FastMCP instance + tool_name: Name of the tool to call + arguments: Dictionary of arguments to pass to the tool + + Returns: + The tool result normalized to {"result": value} format + """ + handler = mcp_instance._mcp_server.request_handlers[CallToolRequest] + request = CallToolRequest( + method="tools/call", params={"name": tool_name, "arguments": arguments} + ) + + result = asyncio.run(handler(request)) + + if hasattr(result, "root"): + result = result.root + if hasattr(result, "structuredContent") and result.structuredContent: + result = result.structuredContent + elif hasattr(result, "content"): + if result.content: + text = result.content[0].text + try: + result = json.loads(text) + except (json.JSONDecodeError, TypeError): + result = text + else: + # Empty content means None return + result = None + + # Normalize return value to consistent format + # If already a dict, return as-is (tool functions return dicts directly) + if isinstance(result, dict): + return result + + # Handle string "None" or "null" as actual None + if isinstance(result, str) and result in ("None", "null"): + result = None + + # Wrap primitive values (int, str, bool, None) in dict format for consistency + return {"result": result} + + +async def call_tool_through_mcp_async(mcp_instance, tool_name, arguments): + """Async version of call_tool_through_mcp.""" + handler = mcp_instance._mcp_server.request_handlers[CallToolRequest] + request = CallToolRequest( + method="tools/call", params={"name": tool_name, "arguments": arguments} + ) + + result = await handler(request) + + if hasattr(result, "root"): + result = result.root + if hasattr(result, "structuredContent") and result.structuredContent: + result = result.structuredContent + elif hasattr(result, "content"): + if result.content: + text = result.content[0].text + try: + result = json.loads(text) + except (json.JSONDecodeError, TypeError): + result = text + else: + # Empty content means None return + result = None + + # Normalize return value to consistent format + # If already a dict, return as-is (tool functions return dicts directly) + if isinstance(result, dict): + return result + + # Handle string "None" or "null" as actual None + if isinstance(result, str) and result in ("None", "null"): + result = None + + # Wrap primitive values (int, str, bool, None) in dict format for consistency + return {"result": result} + + +def call_prompt_through_mcp(mcp_instance, prompt_name, arguments=None): + """Call a prompt through MCP Server's low-level handler.""" + handler = mcp_instance._mcp_server.request_handlers[GetPromptRequest] + request = GetPromptRequest( + method="prompts/get", params={"name": prompt_name, "arguments": arguments or {}} + ) + + result = asyncio.run(handler(request)) + if hasattr(result, "root"): + result = result.root + return result + + +async def call_prompt_through_mcp_async(mcp_instance, prompt_name, arguments=None): + """Async version of call_prompt_through_mcp.""" + handler = mcp_instance._mcp_server.request_handlers[GetPromptRequest] + request = GetPromptRequest( + method="prompts/get", params={"name": prompt_name, "arguments": arguments or {}} + ) + + result = await handler(request) + if hasattr(result, "root"): + result = result.root + return result + + +def call_resource_through_mcp(mcp_instance, uri): + """Call a resource through MCP Server's low-level handler.""" + handler = mcp_instance._mcp_server.request_handlers[ReadResourceRequest] + request = ReadResourceRequest(method="resources/read", params={"uri": str(uri)}) + + result = asyncio.run(handler(request)) + if hasattr(result, "root"): + result = result.root + return result + + +async def call_resource_through_mcp_async(mcp_instance, uri): + """Async version of call_resource_through_mcp.""" + handler = mcp_instance._mcp_server.request_handlers[ReadResourceRequest] + request = ReadResourceRequest(method="resources/read", params={"uri": str(uri)}) + + result = await handler(request) + if hasattr(result, "root"): + result = result.root + return result + + +# Skip all tests if neither implementation is available +pytestmark = pytest.mark.skipif( + not (HAS_MCP_FASTMCP or HAS_STANDALONE_FASTMCP), + reason="Neither mcp.fastmcp nor standalone fastmcp is installed", +) + + +@pytest.fixture(autouse=True) +def reset_request_ctx(): + """Reset request context before and after each test""" + if request_ctx is not None: + try: + if request_ctx.get() is not None: + request_ctx.set(None) + except LookupError: + pass + + yield + + if request_ctx is not None: + try: + request_ctx.set(None) + except LookupError: + pass + + +class MockRequestContext: + """Mock MCP request context""" + + def __init__(self, request_id=None, session_id=None, transport="stdio"): + self.request_id = request_id + if transport in ("http", "sse"): + self.request = MockHTTPRequest(session_id, transport) + else: + self.request = None + + +class MockHTTPRequest: + """Mock HTTP request for SSE/StreamableHTTP transport""" + + def __init__(self, session_id=None, transport="http"): + self.headers = {} + self.query_params = {} + + if transport == "sse": + # SSE transport uses query parameter + if session_id: + self.query_params["session_id"] = session_id + else: + # StreamableHTTP transport uses header + if session_id: + self.headers["mcp-session-id"] = session_id + + +# ============================================================================= +# Tool Handler Tests - Verifying Sentry Integration +# ============================================================================= + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +@pytest.mark.parametrize( + "send_default_pii, include_prompts", + [(True, True), (True, False), (False, True), (False, False)], +) +def test_fastmcp_tool_sync( + sentry_init, capture_events, FastMCP, send_default_pii, include_prompts +): + """Test that FastMCP synchronous tool handlers create proper spans""" + sentry_init( + integrations=[MCPIntegration(include_prompts=include_prompts)], + traces_sample_rate=1.0, + send_default_pii=send_default_pii, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context + if request_ctx is not None: + mock_ctx = MockRequestContext(request_id="req-123", transport="stdio") + request_ctx.set(mock_ctx) + + @mcp.tool() + def add_numbers(a: int, b: int) -> dict: + """Add two numbers together""" + return {"result": a + b, "operation": "addition"} + + with start_transaction(name="fastmcp tx"): + # Call through MCP protocol to trigger instrumentation + result = call_tool_through_mcp(mcp, "add_numbers", {"a": 10, "b": 5}) + + assert result == {"result": 15, "operation": "addition"} + + (tx,) = events + assert tx["type"] == "transaction" + assert len(tx["spans"]) == 1 + + # Verify span structure + span = tx["spans"][0] + assert span["op"] == OP.MCP_SERVER + assert span["origin"] == "auto.ai.mcp" + assert span["description"] == "tools/call add_numbers" + assert span["data"][SPANDATA.MCP_TOOL_NAME] == "add_numbers" + assert span["data"][SPANDATA.MCP_METHOD_NAME] == "tools/call" + assert span["data"][SPANDATA.MCP_TRANSPORT] == "stdio" + assert span["data"][SPANDATA.MCP_REQUEST_ID] == "req-123" + + # Check PII-sensitive data + if send_default_pii and include_prompts: + assert SPANDATA.MCP_TOOL_RESULT_CONTENT in span["data"] + else: + assert SPANDATA.MCP_TOOL_RESULT_CONTENT not in span["data"] + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +@pytest.mark.asyncio +@pytest.mark.parametrize( + "send_default_pii, include_prompts", + [(True, True), (True, False), (False, True), (False, False)], +) +async def test_fastmcp_tool_async( + sentry_init, capture_events, FastMCP, send_default_pii, include_prompts +): + """Test that FastMCP async tool handlers create proper spans""" + sentry_init( + integrations=[MCPIntegration(include_prompts=include_prompts)], + traces_sample_rate=1.0, + send_default_pii=send_default_pii, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context + if request_ctx is not None: + mock_ctx = MockRequestContext( + request_id="req-456", session_id="session-789", transport="http" + ) + request_ctx.set(mock_ctx) + + @mcp.tool() + async def multiply_numbers(x: int, y: int) -> dict: + """Multiply two numbers together""" + return {"result": x * y, "operation": "multiplication"} + + with start_transaction(name="fastmcp tx"): + result = await call_tool_through_mcp_async( + mcp, "multiply_numbers", {"x": 7, "y": 6} + ) + + assert result == {"result": 42, "operation": "multiplication"} + + (tx,) = events + assert tx["type"] == "transaction" + assert len(tx["spans"]) == 1 + + # Verify span structure + span = tx["spans"][0] + assert span["op"] == OP.MCP_SERVER + assert span["origin"] == "auto.ai.mcp" + assert span["description"] == "tools/call multiply_numbers" + assert span["data"][SPANDATA.MCP_TOOL_NAME] == "multiply_numbers" + assert span["data"][SPANDATA.MCP_METHOD_NAME] == "tools/call" + assert span["data"][SPANDATA.MCP_TRANSPORT] == "http" + assert span["data"][SPANDATA.MCP_REQUEST_ID] == "req-456" + assert span["data"][SPANDATA.MCP_SESSION_ID] == "session-789" + + # Check PII-sensitive data + if send_default_pii and include_prompts: + assert SPANDATA.MCP_TOOL_RESULT_CONTENT in span["data"] + else: + assert SPANDATA.MCP_TOOL_RESULT_CONTENT not in span["data"] + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +def test_fastmcp_tool_with_error(sentry_init, capture_events, FastMCP): + """Test that FastMCP tool handler errors are captured properly""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context + if request_ctx is not None: + mock_ctx = MockRequestContext(request_id="req-error", transport="stdio") + request_ctx.set(mock_ctx) + + @mcp.tool() + def failing_tool(value: int) -> int: + """A tool that always fails""" + raise ValueError("Tool execution failed") + + with start_transaction(name="fastmcp tx"): + # MCP protocol may raise the error or return it as an error result + try: + result = call_tool_through_mcp(mcp, "failing_tool", {"value": 42}) + # If no exception raised, check if result indicates error + if hasattr(result, "isError"): + assert result.isError is True + except ValueError: + # Error was raised as expected + pass + + # Should have transaction and error events + assert len(events) >= 1 + + # Check span was created + tx = [e for e in events if e.get("type") == "transaction"][0] + tool_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] + assert len(tool_spans) == 1 + + # Check error event was captured + error_events = [e for e in events if e.get("level") == "error"] + assert len(error_events) >= 1 + error_event = error_events[0] + assert error_event["exception"]["values"][0]["type"] == "ValueError" + assert error_event["exception"]["values"][0]["value"] == "Tool execution failed" + # Verify span is marked with error + assert tool_spans[0]["data"][SPANDATA.MCP_TOOL_RESULT_IS_ERROR] is True + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +def test_fastmcp_multiple_tools(sentry_init, capture_events, FastMCP): + """Test that multiple FastMCP tool calls create multiple spans""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context + if request_ctx is not None: + mock_ctx = MockRequestContext(request_id="req-multi", transport="stdio") + request_ctx.set(mock_ctx) + + @mcp.tool() + def tool_one(x: int) -> int: + """First tool""" + return x * 2 + + @mcp.tool() + def tool_two(y: int) -> int: + """Second tool""" + return y + 10 + + @mcp.tool() + def tool_three(z: int) -> int: + """Third tool""" + return z - 5 + + with start_transaction(name="fastmcp tx"): + result1 = call_tool_through_mcp(mcp, "tool_one", {"x": 5}) + result2 = call_tool_through_mcp(mcp, "tool_two", {"y": result1["result"]}) + result3 = call_tool_through_mcp(mcp, "tool_three", {"z": result2["result"]}) + + assert result1["result"] == 10 + assert result2["result"] == 20 + assert result3["result"] == 15 + + (tx,) = events + assert tx["type"] == "transaction" + + # Verify three spans were created + tool_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] + assert len(tool_spans) == 3 + assert tool_spans[0]["data"][SPANDATA.MCP_TOOL_NAME] == "tool_one" + assert tool_spans[1]["data"][SPANDATA.MCP_TOOL_NAME] == "tool_two" + assert tool_spans[2]["data"][SPANDATA.MCP_TOOL_NAME] == "tool_three" + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +def test_fastmcp_tool_with_complex_return(sentry_init, capture_events, FastMCP): + """Test FastMCP tool with complex nested return value""" + sentry_init( + integrations=[MCPIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=True, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context + if request_ctx is not None: + mock_ctx = MockRequestContext(request_id="req-complex", transport="stdio") + request_ctx.set(mock_ctx) + + @mcp.tool() + def get_user_data(user_id: int) -> dict: + """Get complex user data""" + return { + "id": user_id, + "name": "Alice", + "nested": {"preferences": {"theme": "dark", "notifications": True}}, + "tags": ["admin", "verified"], + } + + with start_transaction(name="fastmcp tx"): + result = call_tool_through_mcp(mcp, "get_user_data", {"user_id": 123}) + + assert result["id"] == 123 + assert result["name"] == "Alice" + assert result["nested"]["preferences"]["theme"] == "dark" + + (tx,) = events + assert tx["type"] == "transaction" + + # Verify span was created with complex data + tool_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] + assert len(tool_spans) == 1 + assert tool_spans[0]["op"] == OP.MCP_SERVER + assert tool_spans[0]["data"][SPANDATA.MCP_TOOL_NAME] == "get_user_data" + # Complex return value should be captured since include_prompts=True and send_default_pii=True + assert SPANDATA.MCP_TOOL_RESULT_CONTENT in tool_spans[0]["data"] + + +# ============================================================================= +# Prompt Handler Tests (if supported) +# ============================================================================= + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +@pytest.mark.parametrize( + "send_default_pii, include_prompts", + [(True, True), (False, False)], +) +def test_fastmcp_prompt_sync( + sentry_init, capture_events, FastMCP, send_default_pii, include_prompts +): + """Test that FastMCP synchronous prompt handlers create proper spans""" + sentry_init( + integrations=[MCPIntegration(include_prompts=include_prompts)], + traces_sample_rate=1.0, + send_default_pii=send_default_pii, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context + if request_ctx is not None: + mock_ctx = MockRequestContext(request_id="req-prompt", transport="stdio") + request_ctx.set(mock_ctx) + + # Try to register a prompt handler (may not be supported in all versions) + try: + if hasattr(mcp, "prompt"): + + @mcp.prompt() + def code_help_prompt(language: str): + """Get help for a programming language""" + return [ + { + "role": "user", + "content": { + "type": "text", + "text": f"Tell me about {language}", + }, + } + ] + + with start_transaction(name="fastmcp tx"): + result = call_prompt_through_mcp( + mcp, "code_help_prompt", {"language": "python"} + ) + + assert result.messages[0].role == "user" + assert "python" in result.messages[0].content.text.lower() + + (tx,) = events + assert tx["type"] == "transaction" + + # Verify prompt span was created + prompt_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] + assert len(prompt_spans) == 1 + span = prompt_spans[0] + assert span["origin"] == "auto.ai.mcp" + assert span["description"] == "prompts/get code_help_prompt" + assert span["data"][SPANDATA.MCP_PROMPT_NAME] == "code_help_prompt" + + # Check PII-sensitive data + if send_default_pii and include_prompts: + assert SPANDATA.MCP_PROMPT_CONTENT in span["data"] + else: + assert SPANDATA.MCP_PROMPT_CONTENT not in span["data"] + except AttributeError: + # Prompt handler not supported in this version + pytest.skip("Prompt handlers not supported in this FastMCP version") + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +@pytest.mark.asyncio +async def test_fastmcp_prompt_async(sentry_init, capture_events, FastMCP): + """Test that FastMCP async prompt handlers create proper spans""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context + if request_ctx is not None: + mock_ctx = MockRequestContext( + request_id="req-async-prompt", session_id="session-abc", transport="http" + ) + request_ctx.set(mock_ctx) + + # Try to register an async prompt handler + try: + if hasattr(mcp, "prompt"): + + @mcp.prompt() + async def async_prompt(topic: str): + """Get async prompt for a topic""" + return [ + { + "role": "user", + "content": {"type": "text", "text": f"What is {topic}?"}, + }, + { + "role": "assistant", + "content": { + "type": "text", + "text": "Let me explain that", + }, + }, + ] + + with start_transaction(name="fastmcp tx"): + result = await call_prompt_through_mcp_async( + mcp, "async_prompt", {"topic": "MCP"} + ) + + assert len(result.messages) == 2 + + (tx,) = events + assert tx["type"] == "transaction" + except AttributeError: + # Prompt handler not supported in this version + pytest.skip("Prompt handlers not supported in this FastMCP version") + + +# ============================================================================= +# Resource Handler Tests (if supported) +# ============================================================================= + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +def test_fastmcp_resource_sync(sentry_init, capture_events, FastMCP): + """Test that FastMCP synchronous resource handlers create proper spans""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context + if request_ctx is not None: + mock_ctx = MockRequestContext(request_id="req-resource", transport="stdio") + request_ctx.set(mock_ctx) + + # Try to register a resource handler + try: + if hasattr(mcp, "resource"): + + @mcp.resource("file:///{path}") + def read_file(path: str): + """Read a file resource""" + return "file contents" + + with start_transaction(name="fastmcp tx"): + try: + result = call_resource_through_mcp(mcp, "file:///test.txt") + except ValueError as e: + # Older FastMCP versions may not support this URI pattern + if "Unknown resource" in str(e): + pytest.skip( + f"Resource URI not supported in this FastMCP version: {e}" + ) + raise + + # Resource content is returned as-is + assert "file contents" in result.contents[0].text + + (tx,) = events + assert tx["type"] == "transaction" + + # Verify resource span was created + resource_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] + assert len(resource_spans) == 1 + span = resource_spans[0] + assert span["origin"] == "auto.ai.mcp" + assert span["description"] == "resources/read file:///test.txt" + assert span["data"][SPANDATA.MCP_RESOURCE_PROTOCOL] == "file" + except (AttributeError, TypeError): + # Resource handler not supported in this version + pytest.skip("Resource handlers not supported in this FastMCP version") + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +@pytest.mark.asyncio +async def test_fastmcp_resource_async(sentry_init, capture_events, FastMCP): + """Test that FastMCP async resource handlers create proper spans""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context + if request_ctx is not None: + mock_ctx = MockRequestContext( + request_id="req-async-resource", session_id="session-res", transport="http" + ) + request_ctx.set(mock_ctx) + + # Try to register an async resource handler + try: + if hasattr(mcp, "resource"): + + @mcp.resource("https://example.com/{resource}") + async def read_url(resource: str): + """Read a URL resource""" + return "resource data" + + with start_transaction(name="fastmcp tx"): + try: + result = await call_resource_through_mcp_async( + mcp, "https://example.com/resource" + ) + except ValueError as e: + # Older FastMCP versions may not support this URI pattern + if "Unknown resource" in str(e): + pytest.skip( + f"Resource URI not supported in this FastMCP version: {e}" + ) + raise + + assert "resource data" in result.contents[0].text + + (tx,) = events + assert tx["type"] == "transaction" + + # Verify span was created + resource_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] + assert len(resource_spans) == 1 + assert resource_spans[0]["data"][SPANDATA.MCP_RESOURCE_PROTOCOL] == "https" + except (AttributeError, TypeError): + # Resource handler not supported in this version + pytest.skip("Resource handlers not supported in this FastMCP version") + + +# ============================================================================= +# Span Origin and Metadata Tests +# ============================================================================= + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +def test_fastmcp_span_origin(sentry_init, capture_events, FastMCP): + """Test that FastMCP span origin is set correctly""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context + if request_ctx is not None: + mock_ctx = MockRequestContext(request_id="req-origin", transport="stdio") + request_ctx.set(mock_ctx) + + @mcp.tool() + def test_tool(value: int) -> int: + """Test tool for origin checking""" + return value * 2 + + with start_transaction(name="fastmcp tx"): + call_tool_through_mcp(mcp, "test_tool", {"value": 21}) + + (tx,) = events + + assert tx["contexts"]["trace"]["origin"] == "manual" + + # Verify MCP span has correct origin + mcp_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] + assert len(mcp_spans) == 1 + assert mcp_spans[0]["origin"] == "auto.ai.mcp" + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +def test_fastmcp_without_request_context(sentry_init, capture_events, FastMCP): + """Test FastMCP handling when no request context is available""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Clear request context + if request_ctx is not None: + request_ctx.set(None) + + @mcp.tool() + def test_tool_no_ctx(x: int) -> dict: + """Test tool without context""" + return {"result": x + 1} + + with start_transaction(name="fastmcp tx"): + result = call_tool_through_mcp(mcp, "test_tool_no_ctx", {"x": 99}) + + assert result == {"result": 100} + + # Should still create transaction even if context is missing + (tx,) = events + assert tx["type"] == "transaction" + + +# ============================================================================= +# Transport Detection Tests +# ============================================================================= + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +def test_fastmcp_sse_transport(sentry_init, capture_events, FastMCP): + """Test that FastMCP correctly detects SSE transport""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context with SSE transport + if request_ctx is not None: + mock_ctx = MockRequestContext( + request_id="req-sse", session_id="session-sse-123", transport="sse" + ) + request_ctx.set(mock_ctx) + + @mcp.tool() + def sse_tool(value: str) -> dict: + """Tool for SSE transport test""" + return {"message": f"Received: {value}"} + + with start_transaction(name="fastmcp tx"): + result = call_tool_through_mcp(mcp, "sse_tool", {"value": "hello"}) + + assert result == {"message": "Received: hello"} + + (tx,) = events + + # Find MCP spans + mcp_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] + assert len(mcp_spans) >= 1 + span = mcp_spans[0] + # Check that SSE transport is detected + assert span["data"].get(SPANDATA.MCP_TRANSPORT) == "sse" + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +def test_fastmcp_http_transport(sentry_init, capture_events, FastMCP): + """Test that FastMCP correctly detects HTTP transport""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context with HTTP transport + if request_ctx is not None: + mock_ctx = MockRequestContext( + request_id="req-http", session_id="session-http-456", transport="http" + ) + request_ctx.set(mock_ctx) + + @mcp.tool() + def http_tool(data: str) -> dict: + """Tool for HTTP transport test""" + return {"processed": data.upper()} + + with start_transaction(name="fastmcp tx"): + result = call_tool_through_mcp(mcp, "http_tool", {"data": "test"}) + + assert result == {"processed": "TEST"} + + (tx,) = events + + # Find MCP spans + mcp_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] + assert len(mcp_spans) >= 1 + span = mcp_spans[0] + # Check that HTTP transport is detected + assert span["data"].get(SPANDATA.MCP_TRANSPORT) == "http" + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +def test_fastmcp_stdio_transport(sentry_init, capture_events, FastMCP): + """Test that FastMCP correctly detects stdio transport""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context with stdio transport + if request_ctx is not None: + mock_ctx = MockRequestContext(request_id="req-stdio", transport="stdio") + request_ctx.set(mock_ctx) + + @mcp.tool() + def stdio_tool(n: int) -> dict: + """Tool for stdio transport test""" + return {"squared": n * n} + + with start_transaction(name="fastmcp tx"): + result = call_tool_through_mcp(mcp, "stdio_tool", {"n": 7}) + + assert result == {"squared": 49} + + (tx,) = events + + # Find MCP spans + mcp_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] + assert len(mcp_spans) >= 1 + span = mcp_spans[0] + # Check that stdio transport is detected + assert span["data"].get(SPANDATA.MCP_TRANSPORT) == "stdio" + + +# ============================================================================= +# Integration-specific Tests +# ============================================================================= + + +@pytest.mark.skipif(not HAS_MCP_FASTMCP, reason="mcp.server.fastmcp not installed") +def test_mcp_fastmcp_specific_features(sentry_init, capture_events): + """Test features specific to mcp.server.fastmcp (from mcp package)""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + from mcp.server.fastmcp import FastMCP + + mcp = FastMCP("MCP Package Server") + + @mcp.tool() + def package_specific_tool(x: int) -> int: + """Tool for mcp.server.fastmcp package""" + return x + 100 + + with start_transaction(name="mcp.server.fastmcp tx"): + result = call_tool_through_mcp(mcp, "package_specific_tool", {"x": 50}) + + assert result["result"] == 150 + + (tx,) = events + assert tx["type"] == "transaction" + + +@pytest.mark.skipif( + not HAS_STANDALONE_FASTMCP, reason="standalone fastmcp not installed" +) +def test_standalone_fastmcp_specific_features(sentry_init, capture_events): + """Test features specific to standalone fastmcp package""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + from fastmcp import FastMCP + + mcp = FastMCP("Standalone FastMCP Server") + + @mcp.tool() + def standalone_specific_tool(message: str) -> dict: + """Tool for standalone fastmcp package""" + return {"echo": message, "length": len(message)} + + with start_transaction(name="standalone fastmcp tx"): + result = call_tool_through_mcp( + mcp, "standalone_specific_tool", {"message": "Hello FastMCP"} + ) + + assert result["echo"] == "Hello FastMCP" + assert result["length"] == 13 + + (tx,) = events + assert tx["type"] == "transaction" + + +# ============================================================================= +# Edge Cases and Robustness Tests +# ============================================================================= + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +def test_fastmcp_tool_with_no_arguments(sentry_init, capture_events, FastMCP): + """Test FastMCP tool with no arguments""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + @mcp.tool() + def no_args_tool() -> str: + """Tool that takes no arguments""" + return "success" + + with start_transaction(name="fastmcp tx"): + result = call_tool_through_mcp(mcp, "no_args_tool", {}) + + assert result["result"] == "success" + + (tx,) = events + assert tx["type"] == "transaction" + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +def test_fastmcp_tool_with_none_return(sentry_init, capture_events, FastMCP): + """Test FastMCP tool that returns None""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + @mcp.tool() + def none_return_tool(action: str) -> None: + """Tool that returns None""" + pass + + with start_transaction(name="fastmcp tx"): + result = call_tool_through_mcp(mcp, "none_return_tool", {"action": "log"}) + + # Helper function normalizes to {"result": value} format + assert result["result"] is None + + (tx,) = events + assert tx["type"] == "transaction" + + +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +@pytest.mark.asyncio +async def test_fastmcp_mixed_sync_async_tools(sentry_init, capture_events, FastMCP): + """Test mixing sync and async tools in FastMCP""" + sentry_init( + integrations=[MCPIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mcp = FastMCP("Test Server") + + # Set up mock request context + if request_ctx is not None: + mock_ctx = MockRequestContext(request_id="req-mixed", transport="stdio") + request_ctx.set(mock_ctx) + + @mcp.tool() + def sync_add(a: int, b: int) -> int: + """Sync addition""" + return a + b + + @mcp.tool() + async def async_multiply(x: int, y: int) -> int: + """Async multiplication""" + return x * y + + with start_transaction(name="fastmcp tx"): + # Use async version for both since we're in an async context + result1 = await call_tool_through_mcp_async(mcp, "sync_add", {"a": 3, "b": 4}) + result2 = await call_tool_through_mcp_async( + mcp, "async_multiply", {"x": 5, "y": 6} + ) + + assert result1["result"] == 7 + assert result2["result"] == 30 + + (tx,) = events + assert tx["type"] == "transaction" + + # Verify both sync and async tool spans were created + mcp_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] + assert len(mcp_spans) == 2 + assert mcp_spans[0]["data"][SPANDATA.MCP_TOOL_NAME] == "sync_add" + assert mcp_spans[1]["data"][SPANDATA.MCP_TOOL_NAME] == "async_multiply" diff --git a/tests/integrations/langchain/test_langchain.py b/tests/integrations/langchain/test_langchain.py index 34f671abf9..c3625a4157 100644 --- a/tests/integrations/langchain/test_langchain.py +++ b/tests/integrations/langchain/test_langchain.py @@ -63,7 +63,6 @@ def _llm_type(self) -> str: return llm_type -@pytest.mark.xfail @pytest.mark.parametrize( "send_default_pii, include_prompts, use_unknown_llm_type", [ @@ -202,20 +201,17 @@ def test_langchain_agent( # We can't guarantee anything about the "shape" of the langchain execution graph assert len(list(x for x in tx["spans"] if x["op"] == "gen_ai.chat")) > 0 - assert "gen_ai.usage.input_tokens" in chat_spans[0]["data"] - assert "gen_ai.usage.output_tokens" in chat_spans[0]["data"] - assert "gen_ai.usage.total_tokens" in chat_spans[0]["data"] + # Token usage is only available in newer versions of langchain (v0.2+) + # where usage_metadata is supported on AIMessageChunk + if "gen_ai.usage.input_tokens" in chat_spans[0]["data"]: + assert chat_spans[0]["data"]["gen_ai.usage.input_tokens"] == 142 + assert chat_spans[0]["data"]["gen_ai.usage.output_tokens"] == 50 + assert chat_spans[0]["data"]["gen_ai.usage.total_tokens"] == 192 - assert chat_spans[0]["data"]["gen_ai.usage.input_tokens"] == 142 - assert chat_spans[0]["data"]["gen_ai.usage.output_tokens"] == 50 - assert chat_spans[0]["data"]["gen_ai.usage.total_tokens"] == 192 - - assert "gen_ai.usage.input_tokens" in chat_spans[1]["data"] - assert "gen_ai.usage.output_tokens" in chat_spans[1]["data"] - assert "gen_ai.usage.total_tokens" in chat_spans[1]["data"] - assert chat_spans[1]["data"]["gen_ai.usage.input_tokens"] == 89 - assert chat_spans[1]["data"]["gen_ai.usage.output_tokens"] == 28 - assert chat_spans[1]["data"]["gen_ai.usage.total_tokens"] == 117 + if "gen_ai.usage.input_tokens" in chat_spans[1]["data"]: + assert chat_spans[1]["data"]["gen_ai.usage.input_tokens"] == 89 + assert chat_spans[1]["data"]["gen_ai.usage.output_tokens"] == 28 + assert chat_spans[1]["data"]["gen_ai.usage.total_tokens"] == 117 if send_default_pii and include_prompts: assert ( @@ -223,8 +219,8 @@ def test_langchain_agent( in chat_spans[0]["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES] ) assert "5" in chat_spans[0]["data"][SPANDATA.GEN_AI_RESPONSE_TEXT] - assert "word" in tool_exec_span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES] - assert 5 == int(tool_exec_span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT]) + assert "word" in tool_exec_span["data"][SPANDATA.GEN_AI_TOOL_INPUT] + assert 5 == int(tool_exec_span["data"][SPANDATA.GEN_AI_TOOL_OUTPUT]) assert ( "You are very powerful" in chat_spans[1]["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES] @@ -248,8 +244,8 @@ def test_langchain_agent( assert SPANDATA.GEN_AI_RESPONSE_TEXT not in chat_spans[0].get("data", {}) assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in chat_spans[1].get("data", {}) assert SPANDATA.GEN_AI_RESPONSE_TEXT not in chat_spans[1].get("data", {}) - assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in tool_exec_span.get("data", {}) - assert SPANDATA.GEN_AI_RESPONSE_TEXT not in tool_exec_span.get("data", {}) + assert SPANDATA.GEN_AI_TOOL_INPUT not in tool_exec_span.get("data", {}) + assert SPANDATA.GEN_AI_TOOL_OUTPUT not in tool_exec_span.get("data", {}) # Verify tool calls are NOT recorded when PII is disabled assert SPANDATA.GEN_AI_RESPONSE_TOOL_CALLS not in chat_spans[0].get( diff --git a/tests/integrations/logging/test_logging.py b/tests/integrations/logging/test_logging.py index 121025bbb6..e7849253d6 100644 --- a/tests/integrations/logging/test_logging.py +++ b/tests/integrations/logging/test_logging.py @@ -320,7 +320,7 @@ def test_sentry_logs_warning(sentry_init, capture_envelopes): assert attrs["sentry.environment"] == "production" assert attrs["sentry.message.parameter.0"] == "1" assert attrs["sentry.message.parameter.1"] == "2" - assert attrs["sentry.origin"] == "auto.logger.log" + assert attrs["sentry.origin"] == "auto.log.stdlib" assert logs[0]["severity_number"] == 13 assert logs[0]["severity_text"] == "warn" @@ -488,7 +488,7 @@ def test_logger_with_all_attributes(sentry_init, capture_envelopes): "numeric": 42, "more_complex": "{'nested': 'data'}", "logger.name": "test-logger", - "sentry.origin": "auto.logger.log", + "sentry.origin": "auto.log.stdlib", "sentry.message.template": "log #%d", "sentry.message.parameter.0": 1, "sentry.environment": "production", @@ -538,7 +538,7 @@ def test_sentry_logs_named_parameters(sentry_init, capture_envelopes): # Check other standard attributes assert attrs["logger.name"] == "test-logger" - assert attrs["sentry.origin"] == "auto.logger.log" + assert attrs["sentry.origin"] == "auto.log.stdlib" assert logs[0]["severity_number"] == 9 # info level assert logs[0]["severity_text"] == "info" diff --git a/tests/integrations/loguru/test_loguru.py b/tests/integrations/loguru/test_loguru.py index 2a307a50cb..ed7650700f 100644 --- a/tests/integrations/loguru/test_loguru.py +++ b/tests/integrations/loguru/test_loguru.py @@ -154,7 +154,7 @@ def test_sentry_logs_warning( assert "code.line.number" in attrs assert attrs["logger.name"] == "tests.integrations.loguru.test_loguru" assert attrs["sentry.environment"] == "production" - assert attrs["sentry.origin"] == "auto.logger.loguru" + assert attrs["sentry.origin"] == "auto.log.loguru" assert logs[0]["severity_number"] == 13 assert logs[0]["severity_text"] == "warn" @@ -465,7 +465,7 @@ def test_logger_with_all_attributes( # Assert on the remaining non-dynamic attributes. assert attributes == { "logger.name": "tests.integrations.loguru.test_loguru", - "sentry.origin": "auto.logger.loguru", + "sentry.origin": "auto.log.loguru", "sentry.environment": "production", "sentry.sdk.version": VERSION, "sentry.severity_number": 13, @@ -473,6 +473,103 @@ def test_logger_with_all_attributes( } +def test_logger_capture_parameters_from_args( + sentry_init, capture_envelopes, uninstall_integration, request +): + # This is currently not supported as regular args don't get added to extra + # (which we use for populating parameters). Adding this test to make that + # explicit and so that it's easy to change later. + uninstall_integration("loguru") + request.addfinalizer(logger.remove) + + sentry_init(enable_logs=True) + envelopes = capture_envelopes() + + logger.warning("Task ID: {}", 123) + + sentry_sdk.get_client().flush() + + logs = envelopes_to_logs(envelopes) + + attributes = logs[0]["attributes"] + assert "sentry.message.parameter.0" not in attributes + + +def test_logger_capture_parameters_from_kwargs( + sentry_init, capture_envelopes, uninstall_integration, request +): + uninstall_integration("loguru") + request.addfinalizer(logger.remove) + + sentry_init(enable_logs=True) + envelopes = capture_envelopes() + + logger.warning("Task ID: {task_id}", task_id=123) + + sentry_sdk.get_client().flush() + + logs = envelopes_to_logs(envelopes) + + attributes = logs[0]["attributes"] + assert attributes["sentry.message.parameter.task_id"] == 123 + + +def test_logger_capture_parameters_from_contextualize( + sentry_init, capture_envelopes, uninstall_integration, request +): + uninstall_integration("loguru") + request.addfinalizer(logger.remove) + + sentry_init(enable_logs=True) + envelopes = capture_envelopes() + + with logger.contextualize(task_id=123): + logger.warning("Log") + + sentry_sdk.get_client().flush() + + logs = envelopes_to_logs(envelopes) + + attributes = logs[0]["attributes"] + assert attributes["sentry.message.parameter.task_id"] == 123 + + +def test_logger_capture_parameters_from_bind( + sentry_init, capture_envelopes, uninstall_integration, request +): + uninstall_integration("loguru") + request.addfinalizer(logger.remove) + + sentry_init(enable_logs=True) + envelopes = capture_envelopes() + + logger.bind(task_id=123).warning("Log") + sentry_sdk.get_client().flush() + + logs = envelopes_to_logs(envelopes) + + attributes = logs[0]["attributes"] + assert attributes["sentry.message.parameter.task_id"] == 123 + + +def test_logger_capture_parameters_from_patch( + sentry_init, capture_envelopes, uninstall_integration, request +): + uninstall_integration("loguru") + request.addfinalizer(logger.remove) + + sentry_init(enable_logs=True) + envelopes = capture_envelopes() + + logger.patch(lambda record: record["extra"].update(task_id=123)).warning("Log") + sentry_sdk.get_client().flush() + + logs = envelopes_to_logs(envelopes) + + attributes = logs[0]["attributes"] + assert attributes["sentry.message.parameter.task_id"] == 123 + + def test_no_parameters_no_template( sentry_init, capture_envelopes, uninstall_integration, request ): diff --git a/tests/integrations/otlp/__init__.py b/tests/integrations/otlp/__init__.py new file mode 100644 index 0000000000..75763c2fee --- /dev/null +++ b/tests/integrations/otlp/__init__.py @@ -0,0 +1,3 @@ +import pytest + +pytest.importorskip("opentelemetry") diff --git a/tests/integrations/otlp/test_otlp.py b/tests/integrations/otlp/test_otlp.py new file mode 100644 index 0000000000..8806080be7 --- /dev/null +++ b/tests/integrations/otlp/test_otlp.py @@ -0,0 +1,154 @@ +import pytest +import responses + +from opentelemetry import trace +from opentelemetry.trace import ( + get_tracer_provider, + set_tracer_provider, + ProxyTracerProvider, + format_span_id, + format_trace_id, +) +from opentelemetry.propagate import get_global_textmap, set_global_textmap +from opentelemetry.util._once import Once +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import BatchSpanProcessor +from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter + +from sentry_sdk.integrations.otlp import OTLPIntegration +from sentry_sdk.integrations.opentelemetry import SentryPropagator +from sentry_sdk.scope import get_external_propagation_context + + +original_propagator = get_global_textmap() + + +@pytest.fixture(autouse=True) +def reset_otlp(uninstall_integration): + trace._TRACER_PROVIDER_SET_ONCE = Once() + trace._TRACER_PROVIDER = None + + set_global_textmap(original_propagator) + + uninstall_integration("otlp") + + +def test_sets_new_tracer_provider_with_otlp_exporter(sentry_init): + existing_tracer_provider = get_tracer_provider() + assert isinstance(existing_tracer_provider, ProxyTracerProvider) + + sentry_init( + dsn="https://mysecret@bla.ingest.sentry.io/12312012", + integrations=[OTLPIntegration()], + ) + + tracer_provider = get_tracer_provider() + assert tracer_provider is not existing_tracer_provider + assert isinstance(tracer_provider, TracerProvider) + + (span_processor,) = tracer_provider._active_span_processor._span_processors + assert isinstance(span_processor, BatchSpanProcessor) + + exporter = span_processor.span_exporter + assert isinstance(exporter, OTLPSpanExporter) + assert ( + exporter._endpoint + == "https://bla.ingest.sentry.io/api/12312012/integration/otlp/v1/traces/" + ) + assert "X-Sentry-Auth" in exporter._headers + assert ( + "Sentry sentry_key=mysecret, sentry_version=7, sentry_client=sentry.python/" + in exporter._headers["X-Sentry-Auth"] + ) + + +def test_uses_existing_tracer_provider_with_otlp_exporter(sentry_init): + existing_tracer_provider = TracerProvider() + set_tracer_provider(existing_tracer_provider) + + sentry_init( + dsn="https://mysecret@bla.ingest.sentry.io/12312012", + integrations=[OTLPIntegration()], + ) + + tracer_provider = get_tracer_provider() + assert tracer_provider == existing_tracer_provider + assert isinstance(tracer_provider, TracerProvider) + + (span_processor,) = tracer_provider._active_span_processor._span_processors + assert isinstance(span_processor, BatchSpanProcessor) + + exporter = span_processor.span_exporter + assert isinstance(exporter, OTLPSpanExporter) + assert ( + exporter._endpoint + == "https://bla.ingest.sentry.io/api/12312012/integration/otlp/v1/traces/" + ) + assert "X-Sentry-Auth" in exporter._headers + assert ( + "Sentry sentry_key=mysecret, sentry_version=7, sentry_client=sentry.python/" + in exporter._headers["X-Sentry-Auth"] + ) + + +def test_does_not_setup_exporter_when_disabled(sentry_init): + existing_tracer_provider = get_tracer_provider() + assert isinstance(existing_tracer_provider, ProxyTracerProvider) + + sentry_init( + dsn="https://mysecret@bla.ingest.sentry.io/12312012", + integrations=[OTLPIntegration(setup_otlp_exporter=False)], + ) + + tracer_provider = get_tracer_provider() + assert tracer_provider is existing_tracer_provider + + +def test_sets_propagator(sentry_init): + sentry_init( + dsn="https://mysecret@bla.ingest.sentry.io/12312012", + integrations=[OTLPIntegration()], + ) + + propagator = get_global_textmap() + assert isinstance(get_global_textmap(), SentryPropagator) + assert propagator is not original_propagator + + +def test_does_not_set_propagator_if_disabled(sentry_init): + sentry_init( + dsn="https://mysecret@bla.ingest.sentry.io/12312012", + integrations=[OTLPIntegration(setup_propagator=False)], + ) + + propagator = get_global_textmap() + assert not isinstance(propagator, SentryPropagator) + assert propagator is original_propagator + + +@responses.activate +def test_otel_propagation_context(sentry_init): + responses.add( + responses.POST, + url="https://bla.ingest.sentry.io/api/12312012/integration/otlp/v1/traces/", + status=200, + ) + + sentry_init( + dsn="https://mysecret@bla.ingest.sentry.io/12312012", + integrations=[OTLPIntegration()], + ) + + tracer = trace.get_tracer(__name__) + with tracer.start_as_current_span("foo") as root_span: + with tracer.start_as_current_span("bar") as span: + external_propagation_context = get_external_propagation_context() + + # Force flush to ensure spans are exported while mock is active + get_tracer_provider().force_flush() + + assert external_propagation_context is not None + (trace_id, span_id) = external_propagation_context + assert trace_id == format_trace_id(root_span.get_span_context().trace_id) + assert trace_id == format_trace_id(span.get_span_context().trace_id) + assert span_id == format_span_id(span.get_span_context().span_id) diff --git a/tests/integrations/pydantic_ai/test_pydantic_ai.py b/tests/integrations/pydantic_ai/test_pydantic_ai.py index 578eca2bf6..394979bb5e 100644 --- a/tests/integrations/pydantic_ai/test_pydantic_ai.py +++ b/tests/integrations/pydantic_ai/test_pydantic_ai.py @@ -1936,25 +1936,6 @@ async def test_set_model_data_with_none_settings_values(sentry_init, capture_eve assert transaction is not None -@pytest.mark.asyncio -async def test_should_send_prompts_with_no_integration(sentry_init, capture_events): - """ - Test that _should_send_prompts returns False when integration not found. - """ - from sentry_sdk.integrations.pydantic_ai.utils import _should_send_prompts - - # Initialize without PydanticAIIntegration - sentry_init( - integrations=[], - traces_sample_rate=1.0, - send_default_pii=True, - ) - - # Should return False - result = _should_send_prompts() - assert result is False - - @pytest.mark.asyncio async def test_should_send_prompts_without_pii(sentry_init, capture_events): """ diff --git a/tests/integrations/redis/test_redis.py b/tests/integrations/redis/test_redis.py index 5173885f33..1861e7116f 100644 --- a/tests/integrations/redis/test_redis.py +++ b/tests/integrations/redis/test_redis.py @@ -154,7 +154,7 @@ def test_pii_data_sent(sentry_init, capture_events): assert spans[3]["description"] == "DEL 'somekey1' 'somekey2'" -def test_data_truncation(sentry_init, capture_events): +def test_no_data_truncation_by_default(sentry_init, capture_events): sentry_init( integrations=[RedisIntegration()], traces_sample_rate=1.0, @@ -172,10 +172,8 @@ def test_data_truncation(sentry_init, capture_events): (event,) = events spans = event["spans"] assert spans[0]["op"] == "db.redis" - assert spans[0]["description"] == "SET 'somekey1' '%s..." % ( - long_string[: 1024 - len("...") - len("SET 'somekey1' '")], - ) - assert spans[1]["description"] == "SET 'somekey2' '%s'" % (short_string,) + assert spans[0]["description"] == f"SET 'somekey1' '{long_string}'" + assert spans[1]["description"] == f"SET 'somekey2' '{short_string}'" def test_data_truncation_custom(sentry_init, capture_events): diff --git a/tests/profiler/test_transaction_profiler.py b/tests/profiler/test_transaction_profiler.py index b2c10a9afd..142fd7d78c 100644 --- a/tests/profiler/test_transaction_profiler.py +++ b/tests/profiler/test_transaction_profiler.py @@ -266,7 +266,6 @@ def test_minimum_unique_samples_required( @pytest.mark.forked -@pytest.mark.skipif(sys.version_info >= (3, 14), reason="Test flakes blocking release.") def test_profile_captured( sentry_init, capture_envelopes, diff --git a/tests/test_metrics.py b/tests/test_metrics.py index c7b786beb4..0a1736a537 100644 --- a/tests/test_metrics.py +++ b/tests/test_metrics.py @@ -7,6 +7,7 @@ from sentry_sdk import get_client from sentry_sdk.envelope import Envelope from sentry_sdk.types import Metric +from sentry_sdk.consts import SPANDATA, VERSION def envelopes_to_metrics(envelopes): @@ -93,7 +94,7 @@ def test_metrics_experimental_option(sentry_init, capture_envelopes): def test_metrics_with_attributes(sentry_init, capture_envelopes): - sentry_init(release="1.0.0", environment="test") + sentry_init(release="1.0.0", environment="test", server_name="test-server") envelopes = capture_envelopes() sentry_sdk.metrics.count( @@ -110,6 +111,10 @@ def test_metrics_with_attributes(sentry_init, capture_envelopes): assert metrics[0]["attributes"]["sentry.release"] == "1.0.0" assert metrics[0]["attributes"]["sentry.environment"] == "test" + assert metrics[0]["attributes"][SPANDATA.SERVER_ADDRESS] == "test-server" + assert metrics[0]["attributes"]["sentry.sdk.name"].startswith("sentry.python") + assert metrics[0]["attributes"]["sentry.sdk.version"] == VERSION + def test_metrics_with_user(sentry_init, capture_envelopes): sentry_init() diff --git a/tests/tracing/test_decorator.py b/tests/tracing/test_decorator.py index 4d9ebf8dde..70dc186ba0 100644 --- a/tests/tracing/test_decorator.py +++ b/tests/tracing/test_decorator.py @@ -70,7 +70,6 @@ async def test_trace_decorator_async(): @pytest.mark.asyncio -@pytest.mark.skipif(sys.version_info >= (3, 14), reason="Test flakes blocking release.") async def test_trace_decorator_async_no_trx(): with patch_start_tracing_child(fake_transaction_is_none=True): with mock.patch.object(logger, "debug", mock.Mock()) as fake_debug: diff --git a/tox.ini b/tox.ini index eb02b6e518..1cf0d1fef8 100644 --- a/tox.ini +++ b/tox.ini @@ -43,6 +43,9 @@ envlist = # OpenTelemetry (OTel) {py3.7,py3.9,py3.12,py3.13,py3.14,py3.14t}-opentelemetry + # OpenTelemetry with OTLP + {py3.7,py3.9,py3.12,py3.13,py3.14}-otlp + # OpenTelemetry Experimental (POTel) {py3.8,py3.9,py3.10,py3.11,py3.12,py3.13}-potel @@ -53,7 +56,7 @@ envlist = {py3.8,py3.11,py3.12}-anthropic-v0.16.0 {py3.8,py3.11,py3.12}-anthropic-v0.35.0 {py3.8,py3.11,py3.12}-anthropic-v0.54.0 - {py3.8,py3.12,py3.13}-anthropic-v0.72.0 + {py3.9,py3.12,py3.13}-anthropic-v0.73.0 {py3.9,py3.10,py3.11}-cohere-v5.4.0 {py3.9,py3.11,py3.12}-cohere-v5.10.0 @@ -63,56 +66,62 @@ envlist = {py3.9,py3.12,py3.13}-google_genai-v1.29.0 {py3.9,py3.12,py3.13}-google_genai-v1.36.0 {py3.9,py3.12,py3.13}-google_genai-v1.43.0 - {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.49.0 + {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.50.1 {py3.8,py3.10,py3.11}-huggingface_hub-v0.24.7 {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.0 - {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.1.2 + {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.1.4 {py3.9,py3.11,py3.12}-langchain-base-v0.1.20 {py3.9,py3.12,py3.13}-langchain-base-v0.3.27 - {py3.10,py3.13,py3.14}-langchain-base-v1.0.4 + {py3.10,py3.13,py3.14}-langchain-base-v1.0.7 {py3.9,py3.11,py3.12}-langchain-notiktoken-v0.1.20 {py3.9,py3.12,py3.13}-langchain-notiktoken-v0.3.27 - {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.0.4 + {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.0.7 {py3.9,py3.13,py3.14}-langgraph-v0.6.11 - {py3.10,py3.12,py3.13}-langgraph-v1.0.2 + {py3.10,py3.12,py3.13}-langgraph-v1.0.3 {py3.9,py3.12,py3.13}-litellm-v1.77.7 {py3.9,py3.12,py3.13}-litellm-v1.78.7 - {py3.9,py3.12,py3.13}-litellm-v1.79.1 + {py3.9,py3.12,py3.13}-litellm-v1.79.3 + {py3.9,py3.12,py3.13}-litellm-v1.80.0 {py3.10,py3.12,py3.13}-mcp-v1.15.0 {py3.10,py3.12,py3.13}-mcp-v1.17.0 {py3.10,py3.12,py3.13}-mcp-v1.19.0 - {py3.10,py3.12,py3.13}-mcp-v1.21.0 + {py3.10,py3.12,py3.13}-mcp-v1.21.1 + + {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.1.0 + {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.4.1 + {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v1.0 + {py3.10,py3.12,py3.13}-fastmcp-v2.13.0 {py3.8,py3.11,py3.12}-openai-base-v1.0.1 {py3.8,py3.12,py3.13}-openai-base-v1.109.1 - {py3.9,py3.12,py3.13}-openai-base-v2.7.1 + {py3.9,py3.12,py3.13}-openai-base-v2.8.0 {py3.8,py3.11,py3.12}-openai-notiktoken-v1.0.1 {py3.8,py3.12,py3.13}-openai-notiktoken-v1.109.1 - {py3.9,py3.12,py3.13}-openai-notiktoken-v2.7.1 + {py3.9,py3.12,py3.13}-openai-notiktoken-v2.8.0 {py3.10,py3.11,py3.12}-openai_agents-v0.0.19 {py3.10,py3.12,py3.13}-openai_agents-v0.2.11 {py3.10,py3.12,py3.13}-openai_agents-v0.4.2 - {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.5.0 + {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.5.1 {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.4.0 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.8.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.6.0 {py3.10,py3.12,py3.13}-pydantic_ai-v1.12.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.18.0 # ~~~ Cloud ~~~ {py3.6,py3.7}-boto3-v1.12.49 {py3.6,py3.9,py3.10}-boto3-v1.20.54 {py3.7,py3.11,py3.12}-boto3-v1.28.85 - {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.40.68 + {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.40.74 {py3.6,py3.7,py3.8}-chalice-v1.16.0 {py3.9,py3.12,py3.13}-chalice-v1.32.0 @@ -124,11 +133,11 @@ envlist = {py3.7,py3.9,py3.10}-asyncpg-v0.27.0 {py3.8,py3.11,py3.12}-asyncpg-v0.30.0 - {py3.7,py3.11,py3.12}-clickhouse_driver-v0.2.9 + {py3.9,py3.13,py3.14}-clickhouse_driver-v0.2.10 {py3.6}-pymongo-v3.5.1 {py3.6,py3.10,py3.11}-pymongo-v3.13.0 - {py3.9,py3.12,py3.13}-pymongo-v4.15.3 + {py3.9,py3.13,py3.14,py3.14t}-pymongo-v4.15.4 {py3.6}-redis-v2.10.6 {py3.6,py3.7,py3.8}-redis-v3.5.3 @@ -156,7 +165,7 @@ envlist = {py3.7,py3.13,py3.14}-statsig-v0.66.1 {py3.8,py3.12,py3.13}-unleash-v6.0.1 - {py3.8,py3.12,py3.13}-unleash-v6.3.0 + {py3.8,py3.12,py3.13}-unleash-v6.4.0 # ~~~ GraphQL ~~~ @@ -171,7 +180,7 @@ envlist = {py3.8,py3.12,py3.13}-graphene-v3.4.3 {py3.8,py3.10,py3.11}-strawberry-v0.209.8 - {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.284.2 + {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.285.0 # ~~~ Network ~~~ @@ -239,7 +248,7 @@ envlist = {py3.6,py3.9,py3.10}-fastapi-v0.79.1 {py3.7,py3.10,py3.11}-fastapi-v0.93.0 {py3.8,py3.10,py3.11}-fastapi-v0.107.0 - {py3.8,py3.13,py3.14,py3.14t}-fastapi-v0.121.0 + {py3.8,py3.13,py3.14,py3.14t}-fastapi-v0.121.2 # ~~~ Web 2 ~~~ @@ -254,7 +263,7 @@ envlist = {py3.6}-falcon-v1.4.1 {py3.6,py3.7}-falcon-v2.0.0 {py3.6,py3.11,py3.12}-falcon-v3.1.3 - {py3.8,py3.11,py3.12}-falcon-v4.1.0 + {py3.9,py3.11,py3.12}-falcon-v4.2.0 {py3.8,py3.10,py3.11}-litestar-v2.0.1 {py3.8,py3.11,py3.12}-litestar-v2.6.4 @@ -315,6 +324,8 @@ deps = # for justification of the upper bound on pytest {py3.6,py3.7}-common: pytest<7.0.0 {py3.8,py3.9,py3.10,py3.11,py3.12,py3.13,py3.14,py3.14t}-common: pytest + # coverage 7.11.1-7.11.3 makes some of our tests flake + {py3.14,py3.14t}-common: coverage==7.11.0 # === Gevent === {py3.6,py3.7,py3.8,py3.9,py3.10,py3.11}-gevent: gevent>=22.10.0, <22.11.0 @@ -350,6 +361,9 @@ deps = # OpenTelemetry (OTel) opentelemetry: opentelemetry-distro + # OpenTelemetry with OTLP + otlp: opentelemetry-distro[otlp] + # OpenTelemetry Experimental (POTel) potel: -e .[opentelemetry-experimental] @@ -360,7 +374,7 @@ deps = anthropic-v0.16.0: anthropic==0.16.0 anthropic-v0.35.0: anthropic==0.35.0 anthropic-v0.54.0: anthropic==0.54.0 - anthropic-v0.72.0: anthropic==0.72.0 + anthropic-v0.73.0: anthropic==0.73.0 anthropic: pytest-asyncio anthropic-v0.16.0: httpx<0.28.0 anthropic-v0.35.0: httpx<0.28.0 @@ -373,70 +387,77 @@ deps = google_genai-v1.29.0: google-genai==1.29.0 google_genai-v1.36.0: google-genai==1.36.0 google_genai-v1.43.0: google-genai==1.43.0 - google_genai-v1.49.0: google-genai==1.49.0 + google_genai-v1.50.1: google-genai==1.50.1 google_genai: pytest-asyncio huggingface_hub-v0.24.7: huggingface_hub==0.24.7 huggingface_hub-v0.36.0: huggingface_hub==0.36.0 - huggingface_hub-v1.1.2: huggingface_hub==1.1.2 + huggingface_hub-v1.1.4: huggingface_hub==1.1.4 huggingface_hub: responses huggingface_hub: pytest-httpx langchain-base-v0.1.20: langchain==0.1.20 langchain-base-v0.3.27: langchain==0.3.27 - langchain-base-v1.0.4: langchain==1.0.4 + langchain-base-v1.0.7: langchain==1.0.7 langchain-base: openai langchain-base: tiktoken langchain-base: langchain-openai langchain-base-v0.3.27: langchain-community - langchain-base-v1.0.4: langchain-community - langchain-base-v1.0.4: langchain-classic + langchain-base-v1.0.7: langchain-community + langchain-base-v1.0.7: langchain-classic langchain-notiktoken-v0.1.20: langchain==0.1.20 langchain-notiktoken-v0.3.27: langchain==0.3.27 - langchain-notiktoken-v1.0.4: langchain==1.0.4 + langchain-notiktoken-v1.0.7: langchain==1.0.7 langchain-notiktoken: openai langchain-notiktoken: langchain-openai langchain-notiktoken-v0.3.27: langchain-community - langchain-notiktoken-v1.0.4: langchain-community - langchain-notiktoken-v1.0.4: langchain-classic + langchain-notiktoken-v1.0.7: langchain-community + langchain-notiktoken-v1.0.7: langchain-classic langgraph-v0.6.11: langgraph==0.6.11 - langgraph-v1.0.2: langgraph==1.0.2 + langgraph-v1.0.3: langgraph==1.0.3 litellm-v1.77.7: litellm==1.77.7 litellm-v1.78.7: litellm==1.78.7 - litellm-v1.79.1: litellm==1.79.1 + litellm-v1.79.3: litellm==1.79.3 + litellm-v1.80.0: litellm==1.80.0 mcp-v1.15.0: mcp==1.15.0 mcp-v1.17.0: mcp==1.17.0 mcp-v1.19.0: mcp==1.19.0 - mcp-v1.21.0: mcp==1.21.0 + mcp-v1.21.1: mcp==1.21.1 mcp: pytest-asyncio + fastmcp-v0.1.0: fastmcp==0.1.0 + fastmcp-v0.4.1: fastmcp==0.4.1 + fastmcp-v1.0: fastmcp==1.0 + fastmcp-v2.13.0: fastmcp==2.13.0 + fastmcp: pytest-asyncio + openai-base-v1.0.1: openai==1.0.1 openai-base-v1.109.1: openai==1.109.1 - openai-base-v2.7.1: openai==2.7.1 + openai-base-v2.8.0: openai==2.8.0 openai-base: pytest-asyncio openai-base: tiktoken openai-base-v1.0.1: httpx<0.28 openai-notiktoken-v1.0.1: openai==1.0.1 openai-notiktoken-v1.109.1: openai==1.109.1 - openai-notiktoken-v2.7.1: openai==2.7.1 + openai-notiktoken-v2.8.0: openai==2.8.0 openai-notiktoken: pytest-asyncio openai-notiktoken-v1.0.1: httpx<0.28 openai_agents-v0.0.19: openai-agents==0.0.19 openai_agents-v0.2.11: openai-agents==0.2.11 openai_agents-v0.4.2: openai-agents==0.4.2 - openai_agents-v0.5.0: openai-agents==0.5.0 + openai_agents-v0.5.1: openai-agents==0.5.1 openai_agents: pytest-asyncio pydantic_ai-v1.0.18: pydantic-ai==1.0.18 - pydantic_ai-v1.4.0: pydantic-ai==1.4.0 - pydantic_ai-v1.8.0: pydantic-ai==1.8.0 + pydantic_ai-v1.6.0: pydantic-ai==1.6.0 pydantic_ai-v1.12.0: pydantic-ai==1.12.0 + pydantic_ai-v1.18.0: pydantic-ai==1.18.0 pydantic_ai: pytest-asyncio @@ -444,7 +465,7 @@ deps = boto3-v1.12.49: boto3==1.12.49 boto3-v1.20.54: boto3==1.20.54 boto3-v1.28.85: boto3==1.28.85 - boto3-v1.40.68: boto3==1.40.68 + boto3-v1.40.74: boto3==1.40.74 {py3.7,py3.8}-boto3: urllib3<2.0.0 chalice-v1.16.0: chalice==1.16.0 @@ -459,11 +480,11 @@ deps = asyncpg-v0.30.0: asyncpg==0.30.0 asyncpg: pytest-asyncio - clickhouse_driver-v0.2.9: clickhouse-driver==0.2.9 + clickhouse_driver-v0.2.10: clickhouse-driver==0.2.10 pymongo-v3.5.1: pymongo==3.5.1 pymongo-v3.13.0: pymongo==3.13.0 - pymongo-v4.15.3: pymongo==4.15.3 + pymongo-v4.15.4: pymongo==4.15.4 pymongo: mockupdb redis-v2.10.6: redis==2.10.6 @@ -498,7 +519,7 @@ deps = statsig: typing_extensions unleash-v6.0.1: UnleashClient==6.0.1 - unleash-v6.3.0: UnleashClient==6.3.0 + unleash-v6.4.0: UnleashClient==6.4.0 # ~~~ GraphQL ~~~ @@ -521,7 +542,7 @@ deps = {py3.6}-graphene: aiocontextvars strawberry-v0.209.8: strawberry-graphql[fastapi,flask]==0.209.8 - strawberry-v0.284.2: strawberry-graphql[fastapi,flask]==0.284.2 + strawberry-v0.285.0: strawberry-graphql[fastapi,flask]==0.285.0 strawberry: httpx strawberry-v0.209.8: pydantic<2.11 @@ -649,7 +670,7 @@ deps = fastapi-v0.79.1: fastapi==0.79.1 fastapi-v0.93.0: fastapi==0.93.0 fastapi-v0.107.0: fastapi==0.107.0 - fastapi-v0.121.0: fastapi==0.121.0 + fastapi-v0.121.2: fastapi==0.121.2 fastapi: httpx fastapi: pytest-asyncio fastapi: python-multipart @@ -677,7 +698,7 @@ deps = falcon-v1.4.1: falcon==1.4.1 falcon-v2.0.0: falcon==2.0.0 falcon-v3.1.3: falcon==3.1.3 - falcon-v4.1.0: falcon==4.1.0 + falcon-v4.2.0: falcon==4.2.0 litestar-v2.0.1: litestar==2.0.1 litestar-v2.6.4: litestar==2.6.4 @@ -775,6 +796,7 @@ setenv = cloud_resource_context: TESTPATH=tests/integrations/cloud_resource_context gcp: TESTPATH=tests/integrations/gcp opentelemetry: TESTPATH=tests/integrations/opentelemetry + otlp: TESTPATH=tests/integrations/otlp potel: TESTPATH=tests/integrations/opentelemetry socket: TESTPATH=tests/integrations/socket @@ -795,6 +817,7 @@ setenv = dramatiq: TESTPATH=tests/integrations/dramatiq falcon: TESTPATH=tests/integrations/falcon fastapi: TESTPATH=tests/integrations/fastapi + fastmcp: TESTPATH=tests/integrations/fastmcp flask: TESTPATH=tests/integrations/flask google_genai: TESTPATH=tests/integrations/google_genai gql: TESTPATH=tests/integrations/gql