From ca0cb5c0cd5731e3fcea7152d5e73be32d185b37 Mon Sep 17 00:00:00 2001 From: Roger Hu Date: Sat, 12 Apr 2025 20:16:01 -0700 Subject: [PATCH 1/3] autogen initial scaffolding --- .../CHANGELOG.md | 71 ----- .../LICENSE | 4 +- .../README.md | 2 +- .../pyproject.toml | 57 ++-- .../instrumentation/autogen/__init__.py | 256 ++---------------- .../test-requirements.txt | 6 + .../cassettes/test_autogen_chat_agent.yaml | 61 +++++ .../tests/test_instrumentor.py | 58 ++++ python/tox.ini | 6 + 9 files changed, 192 insertions(+), 329 deletions(-) delete mode 100644 python/instrumentation/openinference-instrumentation-autogen/CHANGELOG.md create mode 100644 python/instrumentation/openinference-instrumentation-autogen/test-requirements.txt create mode 100644 python/instrumentation/openinference-instrumentation-autogen/tests/cassettes/test_autogen_chat_agent.yaml diff --git a/python/instrumentation/openinference-instrumentation-autogen/CHANGELOG.md b/python/instrumentation/openinference-instrumentation-autogen/CHANGELOG.md deleted file mode 100644 index 2e4576a06..000000000 --- a/python/instrumentation/openinference-instrumentation-autogen/CHANGELOG.md +++ /dev/null @@ -1,71 +0,0 @@ -# Changelog - -## [0.1.8](https://github.com/Arize-ai/openinference/compare/python-openinference-instrumentation-autogen-v0.1.7...python-openinference-instrumentation-autogen-v0.1.8) (2025-04-11) - - -### Bug Fixes - -* increased minimum supported version of openinference-instrumentation to 0.1.27 ([#1507](https://github.com/Arize-ai/openinference/issues/1507)) ([a55edfa](https://github.com/Arize-ai/openinference/commit/a55edfa8900c1f36a73385c7d03f91cffadd85c4)) - -## [0.1.7](https://github.com/Arize-ai/openinference/compare/python-openinference-instrumentation-autogen-v0.1.6...python-openinference-instrumentation-autogen-v0.1.7) (2025-03-14) - - -### Documentation - -* fix license to be openinference ([#1353](https://github.com/Arize-ai/openinference/issues/1353)) ([85d435b](https://github.com/Arize-ai/openinference/commit/85d435be3af3de5424494cfbdd654454688b7377)) - -## [0.1.6](https://github.com/Arize-ai/openinference/compare/python-openinference-instrumentation-autogen-v0.1.5...python-openinference-instrumentation-autogen-v0.1.6) (2025-02-18) - - -### Features - -* define openinference_instrumentor entry points for all libraries ([#1290](https://github.com/Arize-ai/openinference/issues/1290)) ([4b69fdc](https://github.com/Arize-ai/openinference/commit/4b69fdc13210048009e51639b01e7c0c9550c9d1)) - -## [0.1.5](https://github.com/Arize-ai/openinference/compare/python-openinference-instrumentation-autogen-v0.1.4...python-openinference-instrumentation-autogen-v0.1.5) (2025-02-11) - - -### Features - -* add entrypoint for use in opentelemetry-instrument ([#1278](https://github.com/Arize-ai/openinference/issues/1278)) ([2106acf](https://github.com/Arize-ai/openinference/commit/2106acfd6648804abe9b95e41a49df26a500435c)) - -## [0.1.4](https://github.com/Arize-ai/openinference/compare/python-openinference-instrumentation-autogen-v0.1.3...python-openinference-instrumentation-autogen-v0.1.4) (2025-02-04) - - -### Bug Fixes - -* support python 3.13 and drop python 3.8 ([#1263](https://github.com/Arize-ai/openinference/issues/1263)) ([5bfaa90](https://github.com/Arize-ai/openinference/commit/5bfaa90d800a8f725b3ac7444d16972ed7821738)) - -## [0.1.3](https://github.com/Arize-ai/openinference/compare/python-openinference-instrumentation-autogen-v0.1.2...python-openinference-instrumentation-autogen-v0.1.3) (2025-02-04) - - -### Bug Fixes - -* **AG2:** CI fix ([#1221](https://github.com/Arize-ai/openinference/issues/1221)) ([db27dfd](https://github.com/Arize-ai/openinference/commit/db27dfd0e9eea601cd7e4b1048fe1d35983de019)) - -## [0.1.2](https://github.com/Arize-ai/openinference/compare/python-openinference-instrumentation-autogen-v0.1.1...python-openinference-instrumentation-autogen-v0.1.2) (2025-01-17) - - -### Bug Fixes - -* **autogen2:** tool calling fix ([#1218](https://github.com/Arize-ai/openinference/issues/1218)) ([c8c9ade](https://github.com/Arize-ai/openinference/commit/c8c9ade8267e3ba2fa1e48b2d1d77a42444222e4)) - -## [0.1.1](https://github.com/Arize-ai/openinference/compare/python-openinference-instrumentation-autogen-v0.1.0...python-openinference-instrumentation-autogen-v0.1.1) (2025-01-17) - - -### Features - -* **autogen2:** basic tool calling ([#1216](https://github.com/Arize-ai/openinference/issues/1216)) ([2a638f7](https://github.com/Arize-ai/openinference/commit/2a638f7ca51a2d77b27a556bed75aa6318aa805b)) - -## 0.1.0 (2025-01-17) - - -### Features - -* basic instrumentation for autogen (ag2) ([#1211](https://github.com/Arize-ai/openinference/issues/1211)) ([e02a055](https://github.com/Arize-ai/openinference/commit/e02a0553eb84ee253c7931738c5116e0a310194a)) - -## 0.1.0 (2025-01-16) - - -### Features - -* **python:** autogen (ag2) instrumentation ([#1211]https://github.com/Arize-ai/openinference/pull/1211) diff --git a/python/instrumentation/openinference-instrumentation-autogen/LICENSE b/python/instrumentation/openinference-instrumentation-autogen/LICENSE index 1525436c1..3c0e05ceb 100644 --- a/python/instrumentation/openinference-instrumentation-autogen/LICENSE +++ b/python/instrumentation/openinference-instrumentation-autogen/LICENSE @@ -1,4 +1,4 @@ - Apache License + Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ @@ -198,4 +198,4 @@ Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and -limitations under the License. +limitations under the License. \ No newline at end of file diff --git a/python/instrumentation/openinference-instrumentation-autogen/README.md b/python/instrumentation/openinference-instrumentation-autogen/README.md index 1c0bc8640..2936d72db 100644 --- a/python/instrumentation/openinference-instrumentation-autogen/README.md +++ b/python/instrumentation/openinference-instrumentation-autogen/README.md @@ -1,3 +1,3 @@ -# OpenInference Autogen (ag2) Instrumentation +# OpenInference Autogen Instrumentation EXPERIMENTAL diff --git a/python/instrumentation/openinference-instrumentation-autogen/pyproject.toml b/python/instrumentation/openinference-instrumentation-autogen/pyproject.toml index e7907a560..678aa9483 100644 --- a/python/instrumentation/openinference-instrumentation-autogen/pyproject.toml +++ b/python/instrumentation/openinference-instrumentation-autogen/pyproject.toml @@ -8,43 +8,41 @@ dynamic = ["version"] description = "OpenInference Autogen Instrumentation" readme = "README.md" license = "Apache-2.0" -requires-python = ">=3.9, <3.14" +requires-python = ">=3.10, <3.14" authors = [ - { name = "OpenInference Authors", email = "oss@arize.com" }, + { name = "OpenInference Authors", email = "oss@arize.com" }, ] classifiers = [ - "Development Status :: 5 - Production/Stable", - "Intended Audience :: Developers", - "License :: OSI Approved :: Apache Software License", - "Programming Language :: Python", - "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.9", - "Programming Language :: Python :: 3.10", - "Programming Language :: Python :: 3.11", - "Programming Language :: Python :: 3.12", - "Programming Language :: Python :: 3.13", + "Development Status :: 5 - Production/Stable", + "Intended Audience :: Developers", + "License :: OSI Approved :: Apache Software License", + "Programming Language :: Python", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", ] dependencies = [ - "opentelemetry-api", - "opentelemetry-instrumentation", - "opentelemetry-semantic-conventions", - "openinference-instrumentation>=0.1.27", - "openinference-semantic-conventions>=0.1.12", + "opentelemetry-api", + "opentelemetry-instrumentation", + "opentelemetry-semantic-conventions", + "openinference-instrumentation>=0.1.17", + "openinference-semantic-conventions", + "wrapt", + "typing-extensions", ] [project.optional-dependencies] instruments = [ - "autogen >= 0.5.0", -] -test = [ - "autogen>=0.5.0", + "autogen-agentchat >= 0.4.2", ] [project.entry-points.opentelemetry_instrumentor] autogen = "openinference.instrumentation.autogen:AutogenInstrumentor" [project.entry-points.openinference_instrumentor] -autogen = "openinference.instrumentation.autogen:AutogenInstrumentor" +autogen= "openinference.instrumentation.autogen:AutogenInstrumentor" [project.urls] Homepage = "https://github.com/Arize-ai/openinference/tree/main/python/instrumentation/openinference-instrumentation-autogen" @@ -54,7 +52,7 @@ path = "src/openinference/instrumentation/autogen/version.py" [tool.hatch.build.targets.sdist] include = [ - "/src", + "/src", ] [tool.hatch.build.targets.wheel] @@ -64,27 +62,28 @@ packages = ["src/openinference"] asyncio_mode = "auto" asyncio_default_fixture_loop_scope = "function" testpaths = [ - "tests", + "tests", ] [tool.mypy] strict = true explicit_package_bases = true exclude = [ - "examples", - "dist", - "sdist", + "examples", + "dist", + "sdist", ] [[tool.mypy.overrides]] ignore_missing_imports = true module = [ - "wrapt", + "autogen", + "wrapt", ] [tool.ruff] line-length = 100 -target-version = "py38" +target-version = "py310" [tool.ruff.lint.per-file-ignores] "*.ipynb" = ["E402", "E501"] diff --git a/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/__init__.py b/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/__init__.py index e224d008e..3c4386bc2 100644 --- a/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/__init__.py +++ b/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/__init__.py @@ -1,235 +1,39 @@ -import json -from typing import Any, Callable, Dict, Optional, Union +import logging +from typing import Any, Collection -from opentelemetry import trace -from opentelemetry.trace import Link, SpanContext, Status, StatusCode +from opentelemetry import trace as trace_api +from opentelemetry.instrumentation.instrumentor import ( # type: ignore[attr-defined] + BaseInstrumentor, +) -from autogen import ConversableAgent # type: ignore +from openinference.instrumentation import ( + OITracer, + TraceConfig, +) +from openinference.instrumentation.autogen.version import __version__ +_instruments = ("autogen-agentchat >= 0.5.1",) -class AutogenInstrumentor: - def __init__(self) -> None: - self.tracer = trace.get_tracer(__name__) - self._original_generate: Optional[Callable[..., Any]] = None - self._original_initiate_chat: Optional[Callable[..., Any]] = None - self._original_execute_function: Optional[Callable[..., Any]] = None +logger = logging.getLogger(__name__) - def _safe_json_dumps(self, obj: Any) -> str: - try: - return json.dumps(obj) - except (TypeError, ValueError): - return json.dumps(str(obj)) - def instrument(self) -> "AutogenInstrumentor": - # Save original methods - self._original_generate = ConversableAgent.generate_reply - self._original_initiate_chat = ConversableAgent.initiate_chat - self._original_execute_function = ConversableAgent.execute_function +class AutogenInstrumentor(BaseInstrumentor): # type: ignore[misc] + __slots__ = ("_tracer",) - instrumentor = self + def instrumentation_dependencies(self) -> Collection[str]: + return _instruments - def wrapped_generate( - agent_self: ConversableAgent, - messages: Optional[Any] = None, - sender: Optional[str] = None, - **kwargs: Any, - ) -> Any: - try: - current_span = trace.get_current_span() - current_context: SpanContext = current_span.get_span_context() + def _instrument(self, **kwargs: Any) -> None: + if not (tracer_provider := kwargs.get("tracer_provider")): + tracer_provider = trace_api.get_tracer_provider() + if not (config := kwargs.get("config")): + config = TraceConfig() + else: + assert isinstance(config, TraceConfig) + self._tracer = OITracer( + trace_api.get_tracer(__name__, __version__, tracer_provider), + config=config, + ) - with instrumentor.tracer.start_as_current_span( - agent_self.__class__.__name__, - context=trace.set_span_in_context(current_span), - links=[Link(current_context)], - ) as span: - span.set_attribute(SpanAttributes.OPENINFERENCE_SPAN_KIND, "AGENT") - span.set_attribute( - SpanAttributes.INPUT_VALUE, - instrumentor._safe_json_dumps(messages), - ) - span.set_attribute(SpanAttributes.INPUT_MIME_TYPE, "application/json") - span.set_attribute("agent.type", agent_self.__class__.__name__) - - if instrumentor._original_generate is not None: - response = instrumentor._original_generate( - agent_self, messages=messages, sender=sender, **kwargs - ) - else: - # Fallback or raise an error if needed - response = None - - span.set_attribute( - SpanAttributes.OUTPUT_VALUE, - instrumentor._safe_json_dumps(response), - ) - span.set_attribute(SpanAttributes.OUTPUT_MIME_TYPE, "application/json") - - return response - except Exception as e: - if span is not None: - span.set_status(Status(StatusCode.ERROR)) - span.record_exception(e) - raise - - def wrapped_initiate_chat( - agent_self: ConversableAgent, recipient: Any, *args: Any, **kwargs: Any - ) -> Any: - try: - message = kwargs.get("message", args[0] if args else None) - current_span = trace.get_current_span() - current_context: SpanContext = current_span.get_span_context() - - with instrumentor.tracer.start_as_current_span( - "Autogen", - context=trace.set_span_in_context(current_span), - links=[Link(current_context)], - ) as span: - span.set_attribute(SpanAttributes.OPENINFERENCE_SPAN_KIND, "AGENT") - span.set_attribute( - SpanAttributes.INPUT_VALUE, - instrumentor._safe_json_dumps(message), - ) - span.set_attribute(SpanAttributes.INPUT_MIME_TYPE, "application/json") - - if instrumentor._original_initiate_chat is not None: - result = instrumentor._original_initiate_chat( - agent_self, recipient, *args, **kwargs - ) - else: - result = None - - if hasattr(result, "chat_history") and result.chat_history: - last_message = result.chat_history[-1]["content"] - span.set_attribute( - SpanAttributes.OUTPUT_VALUE, - instrumentor._safe_json_dumps(last_message), - ) - else: - span.set_attribute( - SpanAttributes.OUTPUT_VALUE, - instrumentor._safe_json_dumps(result), - ) - - span.set_attribute(SpanAttributes.OUTPUT_MIME_TYPE, "application/json") - - return result - except Exception as e: - if span is not None: - span.set_status(Status(StatusCode.ERROR)) - span.record_exception(e) - raise - - def wrapped_execute_function( - agent_self: ConversableAgent, - func_call: Union[str, Dict[str, Any]], - call_id: Optional[str] = None, - verbose: bool = False, - ) -> Any: - try: - current_span = trace.get_current_span() - current_context: SpanContext = current_span.get_span_context() - - # Handle both dictionary and string inputs - if isinstance(func_call, str): - function_name = func_call - func_call = {"name": function_name} - else: - function_name = func_call.get("name", "unknown") - - with instrumentor.tracer.start_as_current_span( - f"{function_name}", - context=trace.set_span_in_context(current_span), - links=[Link(current_context)], - ) as span: - span.set_attribute(SpanAttributes.OPENINFERENCE_SPAN_KIND, "TOOL") - span.set_attribute(SpanAttributes.TOOL_NAME, function_name) - - # Record input - span.set_attribute( - SpanAttributes.INPUT_VALUE, - instrumentor._safe_json_dumps(func_call), - ) - span.set_attribute(SpanAttributes.INPUT_MIME_TYPE, "application/json") - - # If the agent stores a function map, you can store annotations - if hasattr(agent_self, "_function_map"): - function_map = getattr(agent_self, "_function_map", {}) - if function_name in function_map: - func = function_map[function_name] - if hasattr(func, "__annotations__"): - span.set_attribute( - SpanAttributes.TOOL_PARAMETERS, - instrumentor._safe_json_dumps(func.__annotations__), - ) - - # Record function call details - if isinstance(func_call, dict): - # Record function arguments - if "arguments" in func_call: - span.set_attribute( - SpanAttributes.TOOL_CALL_FUNCTION_ARGUMENTS, - instrumentor._safe_json_dumps(func_call["arguments"]), - ) - - # Record function name - span.set_attribute(SpanAttributes.TOOL_CALL_FUNCTION_NAME, function_name) - - # Execute function - if instrumentor._original_execute_function is not None: - result = instrumentor._original_execute_function( - agent_self, func_call, call_id=call_id, verbose=verbose - ) - else: - result = None - - # Record output - span.set_attribute( - SpanAttributes.OUTPUT_VALUE, - instrumentor._safe_json_dumps(result), - ) - span.set_attribute(SpanAttributes.OUTPUT_MIME_TYPE, "application/json") - - return result - - except Exception as e: - if span is not None: - span.set_status(Status(StatusCode.ERROR)) - span.record_exception(e) - raise - - # Replace methods on ConversableAgent with wrapped versions - ConversableAgent.generate_reply = wrapped_generate - ConversableAgent.initiate_chat = wrapped_initiate_chat - ConversableAgent.execute_function = wrapped_execute_function - - return self - - def uninstrument(self) -> "AutogenInstrumentor": - """Restore original behavior.""" - if ( - self._original_generate - and self._original_initiate_chat - and self._original_execute_function - ): - ConversableAgent.generate_reply = self._original_generate - ConversableAgent.initiate_chat = self._original_initiate_chat - ConversableAgent.execute_function = self._original_execute_function - self._original_generate = None - self._original_initiate_chat = None - self._original_execute_function = None - return self - - -class SpanAttributes: - OPENINFERENCE_SPAN_KIND: str = "openinference.span.kind" - INPUT_VALUE: str = "input.value" - INPUT_MIME_TYPE: str = "input.mime_type" - OUTPUT_VALUE: str = "output.value" - OUTPUT_MIME_TYPE: str = "output.mime_type" - TOOL_NAME: str = "tool.name" - TOOL_ARGS: str = "tool.args" - TOOL_KWARGS: str = "tool.kwargs" - TOOL_PARAMETERS: str = "tool.parameters" - TOOL_CALL_FUNCTION_ARGUMENTS: str = "tool_call.function.arguments" - TOOL_CALL_FUNCTION_NAME: str = "tool_call.function.name" + def _uninstrument(self, **kwargs: Any) -> None: + return diff --git a/python/instrumentation/openinference-instrumentation-autogen/test-requirements.txt b/python/instrumentation/openinference-instrumentation-autogen/test-requirements.txt new file mode 100644 index 000000000..afb0d2e97 --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-autogen/test-requirements.txt @@ -0,0 +1,6 @@ +autogen-agentchat==0.5.1 +autogen-ext==0.5.1 +opentelemetry-sdk +pytest-asyncio +pytest-vcr +httpx<0.28 diff --git a/python/instrumentation/openinference-instrumentation-autogen/tests/cassettes/test_autogen_chat_agent.yaml b/python/instrumentation/openinference-instrumentation-autogen/tests/cassettes/test_autogen_chat_agent.yaml new file mode 100644 index 000000000..a2c392a03 --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-autogen/tests/cassettes/test_autogen_chat_agent.yaml @@ -0,0 +1,61 @@ +interactions: +- request: + body: '{"max_tokens": 4096, "messages": [{"role": "user", "content": "What is + the capital of France?"}], "model": "claude-3-7-sonnet-20250219", "temperature": + 1.0}' + headers: {} + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"id":"msg_01JonRqCN8g4V3AVhPCHmgVj","type":"message","role":"assistant","model":"claude-3-7-sonnet-20250219","content":[{"type":"text","text":"The + capital of France is Paris. Paris is also the largest city in France and serves + as its cultural, economic, and political center. It''s known for landmarks + such as the Eiffel Tower, the Louvre Museum, and Notre-Dame Cathedral."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":14,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":56}}' + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 92f10c8cba617af8-SJC + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Sat, 12 Apr 2025 07:35:49 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - 8a57e064-47c7-4a95-ac37-2283e8cf46d5 + anthropic-ratelimit-input-tokens-limit: + - '1000000' + anthropic-ratelimit-input-tokens-remaining: + - '1000000' + anthropic-ratelimit-input-tokens-reset: + - '2025-04-12T07:35:48Z' + anthropic-ratelimit-output-tokens-limit: + - '400000' + anthropic-ratelimit-output-tokens-remaining: + - '400000' + anthropic-ratelimit-output-tokens-reset: + - '2025-04-12T07:35:49Z' + anthropic-ratelimit-tokens-limit: + - '1400000' + anthropic-ratelimit-tokens-remaining: + - '1400000' + anthropic-ratelimit-tokens-reset: + - '2025-04-12T07:35:48Z' + content-length: + - '529' + request-id: + - req_01CTfM2o4PYZXM4VbeBpRx5T + via: + - 1.1 google + status: + code: 200 + message: OK +version: 1 diff --git a/python/instrumentation/openinference-instrumentation-autogen/tests/test_instrumentor.py b/python/instrumentation/openinference-instrumentation-autogen/tests/test_instrumentor.py index 2f8e2bf40..15ceffe98 100644 --- a/python/instrumentation/openinference-instrumentation-autogen/tests/test_instrumentor.py +++ b/python/instrumentation/openinference-instrumentation-autogen/tests/test_instrumentor.py @@ -1,8 +1,38 @@ +from typing import Any, Generator + +import pytest +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import SimpleSpanProcessor +from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter from opentelemetry.util._importlib_metadata import entry_points +from openinference.instrumentation import OITracer from openinference.instrumentation.autogen import AutogenInstrumentor +@pytest.fixture() +def in_memory_span_exporter() -> InMemorySpanExporter: + return InMemorySpanExporter() + + +@pytest.fixture() +def tracer_provider(in_memory_span_exporter: InMemorySpanExporter) -> TracerProvider: + resource = Resource(attributes={}) + tracer_provider = TracerProvider(resource=resource) + tracer_provider.add_span_processor(SimpleSpanProcessor(in_memory_span_exporter)) + return tracer_provider + + +@pytest.fixture() +def setup_autogen_instrumentation( + tracer_provider: TracerProvider, +) -> Generator[None, None, None]: + AutogenInstrumentor().instrument(tracer_provider=tracer_provider) + yield + AutogenInstrumentor().uninstrument() + + class TestInstrumentor: def test_entrypoint_for_opentelemetry_instrument(self) -> None: (instrumentor_entrypoint,) = entry_points( @@ -10,3 +40,31 @@ def test_entrypoint_for_opentelemetry_instrument(self) -> None: ) instrumentor = instrumentor_entrypoint.load()() assert isinstance(instrumentor, AutogenInstrumentor) + + # Ensure we're using the common OITracer from common openinference-instrumentation pkg + def test_oitracer(self, setup_autogen_instrumentation: Any) -> None: + assert isinstance(AutogenInstrumentor()._tracer, OITracer) + + +@pytest.mark.asyncio +@pytest.mark.vcr( + decode_compressed_response=True, + before_record_request=lambda _: _.headers.clear() or _, +) +async def test_autogen_chat_agent( + tracer_provider: TracerProvider, + in_memory_span_exporter: InMemorySpanExporter, + setup_autogen_instrumentation: AutogenInstrumentor, +) -> None: + from autogen_core.models import UserMessage + from autogen_ext.models.anthropic import AnthropicChatCompletionClient + + model_client = AnthropicChatCompletionClient(model="claude-3-7-sonnet-20250219", api_key="sk-") + + result = await model_client.create( + [UserMessage(content="What is the capital of France?", source="user")] + ) + print(result) + await model_client.close() + spans = in_memory_span_exporter.get_finished_spans() + print(spans) diff --git a/python/tox.ini b/python/tox.ini index 814b2cc88..8613f86a9 100644 --- a/python/tox.ini +++ b/python/tox.ini @@ -23,6 +23,7 @@ envlist = py3{9,13}-ci-{autogen,autogen-latest} py3{11,13}-ci-{beeai,beeai-latest} py3{9,13}-ci-{portkey,portkey-latest} + py3{10,13}-ci-{autogen,autogen-latest} py39-mypy-langchain_core py3{10,13}-ci-{mcp,mcp-latest} @@ -106,6 +107,11 @@ commands_pre = anthropic: uv pip install -r test-requirements.txt anthropic-latest: uv pip install -U anthropic smolagents: uv pip install --reinstall {toxinidir}/instrumentation/openinference-instrumentation-smolagents[test] + autogen: uv pip uninstall -r test-requirements.txt + autogen: uv pip install --reinstall-package openinference-instrumentation-autogen . + autogen: python -c 'import openinference.instrumentation.autogen' + autogen: uv pip install -r test-requirements.txt + autogen-latest: uv pip install -U autogen-agentchat autogen-ext autogen: uv pip install --reinstall {toxinidir}/instrumentation/openinference-instrumentation-autogen[test] portkey: uv pip uninstall -r test-requirements.txt portkey: uv pip install --reinstall {toxinidir}/instrumentation/openinference-instrumentation-portkey[test] From d2c454c9982cad53f0ac4c7f4b279136bf370921 Mon Sep 17 00:00:00 2001 From: Roger Hu Date: Wed, 23 Apr 2025 22:12:13 -0700 Subject: [PATCH 2/3] wip2 --- .../instrumentation/autogen/__init__.py | 3 + .../test-requirements.txt | 5 +- .../cassettes/test_autogen_chat_agent.yaml | 227 +++++++++++++++--- .../tests/test_instrumentor.py | 45 +++- 4 files changed, 231 insertions(+), 49 deletions(-) diff --git a/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/__init__.py b/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/__init__.py index 3c4386bc2..50eca18fe 100644 --- a/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/__init__.py +++ b/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/__init__.py @@ -6,10 +6,12 @@ BaseInstrumentor, ) +from wrapt import wrap_function_wrapper from openinference.instrumentation import ( OITracer, TraceConfig, ) + from openinference.instrumentation.autogen.version import __version__ _instruments = ("autogen-agentchat >= 0.5.1",) @@ -35,5 +37,6 @@ def _instrument(self, **kwargs: Any) -> None: config=config, ) + def _uninstrument(self, **kwargs: Any) -> None: return diff --git a/python/instrumentation/openinference-instrumentation-autogen/test-requirements.txt b/python/instrumentation/openinference-instrumentation-autogen/test-requirements.txt index afb0d2e97..34645f930 100644 --- a/python/instrumentation/openinference-instrumentation-autogen/test-requirements.txt +++ b/python/instrumentation/openinference-instrumentation-autogen/test-requirements.txt @@ -1,5 +1,6 @@ -autogen-agentchat==0.5.1 -autogen-ext==0.5.1 +autogen-agentchat==0.5.4 +autogen-core==0.5.4 +autogen-ext[openai, anthropic]==0.5.4 opentelemetry-sdk pytest-asyncio pytest-vcr diff --git a/python/instrumentation/openinference-instrumentation-autogen/tests/cassettes/test_autogen_chat_agent.yaml b/python/instrumentation/openinference-instrumentation-autogen/tests/cassettes/test_autogen_chat_agent.yaml index a2c392a03..6ff746142 100644 --- a/python/instrumentation/openinference-instrumentation-autogen/tests/cassettes/test_autogen_chat_agent.yaml +++ b/python/instrumentation/openinference-instrumentation-autogen/tests/cassettes/test_autogen_chat_agent.yaml @@ -1,60 +1,209 @@ interactions: - request: - body: '{"max_tokens": 4096, "messages": [{"role": "user", "content": "What is - the capital of France?"}], "model": "claude-3-7-sonnet-20250219", "temperature": - 1.0}' + body: '{"messages": [{"content": "You are a helpful assistant that can check the + weather.", "role": "system"}, {"name": "user", "role": "user", "content": "What + is the weather in New York?"}], "model": "gpt-3.5-turbo", "stream": true, "tools": + [{"type": "function", "function": {"name": "get_weather", "description": "Get + the weather for a given city.", "parameters": {"type": "object", "properties": + {"city": {"description": "city", "title": "City", "type": "string"}}, "required": + ["city"], "additionalProperties": false}, "strict": false}}]}' headers: {} method: POST - uri: https://api.anthropic.com/v1/messages + uri: 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9351fb46ab17ebe5-SJC + Connection: + - keep-alive + Content-Type: + - text/event-stream; charset=utf-8 + Date: + - Thu, 24 Apr 2025 01:55:59 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - nosniff + access-control-expose-headers: + - X-Request-ID + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - user-gif6bpt2ys8quwhhzo6dg5aw + openai-processing-ms: + - '135' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=31536000; includeSubDomains; preload + x-ratelimit-limit-requests: + - '5000' + x-ratelimit-limit-tokens: + - '4000000' + x-ratelimit-remaining-requests: + - '4999' + x-ratelimit-remaining-tokens: + - '3999961' + x-ratelimit-reset-requests: + - 12ms + x-ratelimit-reset-tokens: + - 0s + x-request-id: + - req_056c246c9404d8dfc04830cd0c38e354 status: code: 200 message: OK diff --git a/python/instrumentation/openinference-instrumentation-autogen/tests/test_instrumentor.py b/python/instrumentation/openinference-instrumentation-autogen/tests/test_instrumentor.py index 15ceffe98..735e58d0d 100644 --- a/python/instrumentation/openinference-instrumentation-autogen/tests/test_instrumentor.py +++ b/python/instrumentation/openinference-instrumentation-autogen/tests/test_instrumentor.py @@ -54,17 +54,46 @@ def test_oitracer(self, setup_autogen_instrumentation: Any) -> None: async def test_autogen_chat_agent( tracer_provider: TracerProvider, in_memory_span_exporter: InMemorySpanExporter, - setup_autogen_instrumentation: AutogenInstrumentor, + setup_autogen_instrumentation: Any, ) -> None: - from autogen_core.models import UserMessage - from autogen_ext.models.anthropic import AnthropicChatCompletionClient + from autogen_agentchat.agents import AssistantAgent + from autogen_agentchat.ui import Console + from autogen_ext.models.openai import OpenAIChatCompletionClient - model_client = AnthropicChatCompletionClient(model="claude-3-7-sonnet-20250219", api_key="sk-") + # Define a model client with a real API key for recording + model_client = OpenAIChatCompletionClient( + model="gpt-3.5-turbo", # Use a real model for recording + api_key="sk-", # Use a test key that will be filtered by vcr + ) + + # Define a simple function tool that the agent can use + async def get_weather(city: str) -> str: + """Get the weather for a given city.""" + return f"The weather in {city} is 73 degrees and Sunny." - result = await model_client.create( - [UserMessage(content="What is the capital of France?", source="user")] + # Define an AssistantAgent with the model, tool, system message, and reflection enabled + agent = AssistantAgent( + name="weather_agent", + model_client=model_client, + tools=[get_weather], + system_message="You are a helpful assistant that can check the weather.", + reflect_on_tool_use=True, + model_client_stream=True, ) - print(result) + + # Run the agent and stream the messages to the console + async def main() -> None: + result = await Console(agent.run_stream(task="What is the weather in New York?")) + return result + + # Run the test and verify results + result = await main() await model_client.close() + + # Verify that spans were created spans = in_memory_span_exporter.get_finished_spans() - print(spans) + assert len(spans) > 0, "Expected spans to be created" + + # Verify the weather tool was called + weather_spans = [span for span in spans if span.name == "get_weather"] + assert len(weather_spans) > 0, "Expected weather tool to be called" \ No newline at end of file From d18a5bd21a2a40568bdea0c8abcebe826e1084a8 Mon Sep 17 00:00:00 2001 From: Roger Hu Date: Tue, 29 Apr 2025 09:33:06 -0700 Subject: [PATCH 3/3] assistant agent wip --- python/agents | 1 + .../instrumentation/autogen/__init__.py | 38 +++++++++- .../instrumentation/autogen/_wrappers.py | 69 +++++++++++++++++ .../cassettes/test_autogen_chat_agent.yaml | 74 +++++++++---------- .../tests/test_instrumentor.py | 17 ++--- 5 files changed, 148 insertions(+), 51 deletions(-) create mode 120000 python/agents create mode 100644 python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/_wrappers.py diff --git a/python/agents b/python/agents new file mode 120000 index 000000000..08a7149d0 --- /dev/null +++ b/python/agents @@ -0,0 +1 @@ +/opt/homebrew/Caskroom/mambaforge/base/envs/autogen312/lib/python3.12/site-packages/autogen_agentchat/agents \ No newline at end of file diff --git a/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/__init__.py b/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/__init__.py index 50eca18fe..eef1532ff 100644 --- a/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/__init__.py +++ b/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/__init__.py @@ -1,5 +1,5 @@ import logging -from typing import Any, Collection +from typing import Any, Collection, Tuple, Dict from opentelemetry import trace as trace_api from opentelemetry.instrumentation.instrumentor import ( # type: ignore[attr-defined] @@ -12,7 +12,8 @@ TraceConfig, ) -from openinference.instrumentation.autogen.version import __version__ +from ._wrappers import _AssistantAgentWrapper +from .version import __version__ _instruments = ("autogen-agentchat >= 0.5.1",) @@ -20,6 +21,8 @@ class AutogenInstrumentor(BaseInstrumentor): # type: ignore[misc] + """An instrumentor for the Autogen framework.""" + __slots__ = ("_tracer",) def instrumentation_dependencies(self) -> Collection[str]: @@ -36,7 +39,36 @@ def _instrument(self, **kwargs: Any) -> None: trace_api.get_tracer(__name__, __version__, tracer_provider), config=config, ) + from autogen_agentchat.agents import AssistantAgent + self._original_on_messages = AssistantAgent.on_messages + self._original_call_llm = AssistantAgent._call_llm + self._original_execute_tool = AssistantAgent._execute_tool_call + + # Create wrapper instance + wrapper = _AssistantAgentWrapper(tracer=self._tracer) + # Wrap AssistantAgent methods + wrap_function_wrapper( + module="autogen_agentchat.agents", + name="AssistantAgent.on_messages", + wrapper=wrapper.on_messages_wrapper, + ) + wrap_function_wrapper( + module="autogen_agentchat.agents", + name="AssistantAgent._execute_tool_call", + wrapper=wrapper.execute_tool_wrapper, + ) + wrap_function_wrapper( + module="autogen_agentchat.agents", + name="AssistantAgent._call_llm", + wrapper=wrapper.call_llm_wrapper, + ) def _uninstrument(self, **kwargs: Any) -> None: - return + from autogen_agentchat.agents import AssistantAgent + if self._original_on_messages is not None: + AssistantAgent.on_messages = self._original_on_messages + if self._original_call_llm is not None: + AssistantAgent.call_llm = self._original_call_llm + if self._original_execute_tool is not None: + AssistantAgent.execute_tool = self._original_execute_tool \ No newline at end of file diff --git a/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/_wrappers.py b/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/_wrappers.py new file mode 100644 index 000000000..0e7819a49 --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-autogen/src/openinference/instrumentation/autogen/_wrappers.py @@ -0,0 +1,69 @@ +from typing import Any, Dict, Tuple +from opentelemetry import trace as trace_api +from opentelemetry.trace import Span, Status, StatusCode +from openinference.instrumentation import OITracer + +class _AssistantAgentWrapper: + def __init__(self, tracer: OITracer) -> None: + self._tracer = tracer + + def on_messages_wrapper(self, wrapped: Any, instance: Any, args: Tuple[Any, ...], kwargs: Dict[str, Any]) -> Any: + with self._tracer.start_as_current_span("AssistantAgent.on_messages") as span: + try: + # Extract messages from args + messages = args[0] if args else kwargs.get("messages") + if messages: + span.set_attribute("messages.count", len(messages)) + # Add other relevant attributes about messages + + result = wrapped(*args, **kwargs) + return result + except Exception as e: + span.record_exception(e) + span.set_status(Status(StatusCode.ERROR, str(e))) + raise + + def on_messages_stream_wrapper(self, wrapped: Any, instance: Any, args: Tuple[Any, ...], kwargs: Dict[str, Any]) -> Any: + with self._tracer.start_as_current_span("AssistantAgent.on_messages_stream") as span: + try: + messages = args[0] if args else kwargs.get("messages") + if messages: + span.set_attribute("messages.count", len(messages)) + + result = wrapped(*args, **kwargs) + return result + except Exception as e: + span.record_exception(e) + span.set_status(Status(StatusCode.ERROR, str(e))) + raise + + def call_llm_wrapper(self, wrapped: Any, instance: Any, args: Tuple[Any, ...], kwargs: Dict[str, Any]) -> Any: + with self._tracer.start_as_current_span("AssistantAgent.call_llm") as span: + try: + # Extract model client info + model_client = args[0] if args else kwargs.get("model_client") + if model_client: + span.set_attribute("model.name", getattr(model_client, "model", "unknown")) + + result = wrapped(*args, **kwargs) + return result + except Exception as e: + span.record_exception(e) + span.set_status(Status(StatusCode.ERROR, str(e))) + raise + + def execute_tool_wrapper(self, wrapped: Any, instance: Any, args: Tuple[Any, ...], kwargs: Dict[str, Any]) -> Any: + with self._tracer.start_as_current_span("AssistantAgent.execute_tool") as span: + try: + # Extract tool call info + tool_call = args[0] if args else kwargs.get("tool_call") + if tool_call: + span.set_attribute("tool.name", getattr(tool_call, "name", "unknown")) + span.set_attribute("tool.arguments", str(getattr(tool_call, "arguments", ""))) + + result = wrapped(*args, **kwargs) + return result + except Exception as e: + span.record_exception(e) + span.set_status(Status(StatusCode.ERROR, str(e))) + raise \ No newline at end of file diff --git a/python/instrumentation/openinference-instrumentation-autogen/tests/cassettes/test_autogen_chat_agent.yaml b/python/instrumentation/openinference-instrumentation-autogen/tests/cassettes/test_autogen_chat_agent.yaml index 6ff746142..4a3ffdf06 100644 --- a/python/instrumentation/openinference-instrumentation-autogen/tests/cassettes/test_autogen_chat_agent.yaml +++ b/python/instrumentation/openinference-instrumentation-autogen/tests/cassettes/test_autogen_chat_agent.yaml @@ -12,29 +12,29 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - 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data: {"id":"chatcmpl-BPg6hwzSBG0b3Yru1tApwwTBrOTm0","object":"chat.completion.chunk","created":1745459759,"model":"gpt-3.5-turbo-0125","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"."},"logprobs":null,"finish_reason":null}]} + data: {"id":"chatcmpl-BPk3tZ8AuuGd9i0D6kckRBe1ll8EV","object":"chat.completion.chunk","created":1745474961,"model":"gpt-3.5-turbo-0125","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"."},"logprobs":null,"finish_reason":null}]} - data: {"id":"chatcmpl-BPg6hwzSBG0b3Yru1tApwwTBrOTm0","object":"chat.completion.chunk","created":1745459759,"model":"gpt-3.5-turbo-0125","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]} + data: {"id":"chatcmpl-BPk3tZ8AuuGd9i0D6kckRBe1ll8EV","object":"chat.completion.chunk","created":1745474961,"model":"gpt-3.5-turbo-0125","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]} data: [DONE] @@ -162,14 +162,16 @@ interactions: ' headers: + CF-Cache-Status: + - DYNAMIC CF-RAY: - - 9351fb46ab17ebe5-SJC + - 93536e6ebd786446-SJC Connection: - keep-alive Content-Type: - text/event-stream; charset=utf-8 Date: - - Thu, 24 Apr 2025 01:55:59 GMT + - Thu, 24 Apr 2025 06:09:21 GMT Server: - cloudflare Transfer-Encoding: @@ -180,12 +182,10 @@ interactions: - X-Request-ID alt-svc: - h3=":443"; ma=86400 - cf-cache-status: - - DYNAMIC openai-organization: - user-gif6bpt2ys8quwhhzo6dg5aw openai-processing-ms: - - '135' + - '121' openai-version: - '2020-10-01' strict-transport-security: @@ -203,7 +203,7 @@ interactions: x-ratelimit-reset-tokens: - 0s x-request-id: - - req_056c246c9404d8dfc04830cd0c38e354 + - req_acff1594d255870d4a862b332d3e4422 status: code: 200 message: OK diff --git a/python/instrumentation/openinference-instrumentation-autogen/tests/test_instrumentor.py b/python/instrumentation/openinference-instrumentation-autogen/tests/test_instrumentor.py index 735e58d0d..b4200f506 100644 --- a/python/instrumentation/openinference-instrumentation-autogen/tests/test_instrumentor.py +++ b/python/instrumentation/openinference-instrumentation-autogen/tests/test_instrumentor.py @@ -63,11 +63,11 @@ async def test_autogen_chat_agent( # Define a model client with a real API key for recording model_client = OpenAIChatCompletionClient( model="gpt-3.5-turbo", # Use a real model for recording - api_key="sk-", # Use a test key that will be filtered by vcr + api_key="sk-proj", # Use a test key that will be filtered by vcr ) # Define a simple function tool that the agent can use - async def get_weather(city: str) -> str: + def get_weather(city: str) -> str: """Get the weather for a given city.""" return f"The weather in {city} is 73 degrees and Sunny." @@ -82,18 +82,13 @@ async def get_weather(city: str) -> str: ) # Run the agent and stream the messages to the console - async def main() -> None: - result = await Console(agent.run_stream(task="What is the weather in New York?")) - return result - - # Run the test and verify results - result = await main() + result = await agent.run(task="What is the weather in New York?") await model_client.close() # Verify that spans were created spans = in_memory_span_exporter.get_finished_spans() assert len(spans) > 0, "Expected spans to be created" - # Verify the weather tool was called - weather_spans = [span for span in spans if span.name == "get_weather"] - assert len(weather_spans) > 0, "Expected weather tool to be called" \ No newline at end of file + # # Verify the weather tool was called + # weather_spans = [span for span in spans if span.name == "get_weather"] + # assert len(weather_spans) > 0, "Expected weather tool to be called" \ No newline at end of file