diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py index 5a089913d..11fd0712d 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py @@ -432,7 +432,11 @@ def _set_completions(span, choices): return _set_span_attribute(span, f"{prefix}.role", message.get("role")) - _set_span_attribute(span, f"{prefix}.content", message.get("content")) + + if message.get("refusal"): + _set_span_attribute(span, f"{prefix}.refusal", message.get("refusal")) + else: + _set_span_attribute(span, f"{prefix}.content", message.get("content")) function_call = message.get("function_call") if function_call: diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/__init__.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/__init__.py index 98de0dda4..82e7221e0 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/__init__.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/__init__.py @@ -197,6 +197,32 @@ def _instrument(self, **kwargs): "Assistants.create", assistants_create_wrapper(tracer), ) + wrap_function_wrapper( + "openai.resources.beta.chat.completions", + "Completions.parse", + chat_wrapper( + tracer, + tokens_histogram, + chat_choice_counter, + duration_histogram, + chat_exception_counter, + streaming_time_to_first_token, + streaming_time_to_generate, + ), + ) + wrap_function_wrapper( + "openai.resources.beta.chat.completions", + "AsyncCompletions.parse", + achat_wrapper( + tracer, + tokens_histogram, + chat_choice_counter, + duration_histogram, + chat_exception_counter, + streaming_time_to_first_token, + streaming_time_to_generate, + ), + ) wrap_function_wrapper( "openai.resources.beta.threads.runs", "Runs.create", @@ -217,7 +243,7 @@ def _instrument(self, **kwargs): "Messages.list", messages_list_wrapper(tracer), ) - except AttributeError: + except (AttributeError, ModuleNotFoundError): pass def _uninstrument(self, **kwargs): diff --git a/packages/opentelemetry-instrumentation-openai/poetry.lock b/packages/opentelemetry-instrumentation-openai/poetry.lock index a55015a8b..71fcbe817 100644 --- a/packages/opentelemetry-instrumentation-openai/poetry.lock +++ b/packages/opentelemetry-instrumentation-openai/poetry.lock @@ -13,13 +13,13 @@ files = [ [[package]] name = "anyio" -version = "4.4.0" +version = "4.6.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = 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b/packages/opentelemetry-instrumentation-openai/tests/metrics/cassettes/test_openai_metrics/test_chat_parsed_completion_metrics.yaml @@ -0,0 +1,115 @@ +interactions: +- request: + body: '{"messages": [{"role": "system", "content": "You are a poetic assistant, + skilled in explaining complex programming concepts with creative flair."}, {"role": + "user", "content": "Compose a poem that explains the concept of recursion in + programming."}], "model": "gpt-4o", "response_format": {"type": "json_schema", + "json_schema": {"schema": {"properties": {"poem": {"title": "Poem", "type": + "string"}, "style": {"title": "Style", "type": "string"}}, "required": ["poem", + "style"], "title": "StructuredAnswer", "type": "object", "additionalProperties": + false}, "name": "StructuredAnswer", "strict": true}}, "stream": false}' + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate + connection: + - keep-alive + content-length: + - '620' + content-type: + - application/json + 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b/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py index 6573cc74f..0ddbe2463 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py +++ b/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py @@ -1,6 +1,7 @@ import pytest from openai import OpenAI from opentelemetry.semconv_ai import SpanAttributes, Meters +from pydantic import BaseModel @pytest.fixture @@ -73,6 +74,55 @@ def test_chat_completion_metrics(metrics_test_context, openai_client): assert found_duration_metric is True +@pytest.mark.vcr +def test_chat_parsed_completion_metrics(metrics_test_context, openai_client): + _, reader = metrics_test_context + + class StructuredAnswer(BaseModel): + poem: str + style: str + + openai_client.beta.chat.completions.parse( + model="gpt-4o", + messages=[ + { + "role": "system", + "content": "You are a poetic assistant, skilled in explaining complex programming concepts with " + "creative flair.", + }, + { + "role": "user", + "content": "Compose a poem that explains the concept of recursion in programming.", + }, + ], + response_format=StructuredAnswer, + ) + + metrics_data = reader.get_metrics_data() + resource_metrics = metrics_data.resource_metrics + assert len(resource_metrics) > 0 + + found_token_metric = False + found_choice_metric = False + found_duration_metric = False + + for rm in resource_metrics: + for sm in rm.scope_metrics: + for metric in sm.metrics: + for data_point in metric.data.data_points: + model = data_point.attributes.get(SpanAttributes.LLM_RESPONSE_MODEL) + if metric.name == Meters.LLM_TOKEN_USAGE and model == 'gpt-4o-2024-08-06': + found_token_metric = True + elif metric.name == Meters.LLM_GENERATION_CHOICES and model == 'gpt-4o-2024-08-06': + found_choice_metric = True + elif metric.name == Meters.LLM_OPERATION_DURATION and model == 'gpt-4o-2024-08-06': + found_duration_metric = True + + assert found_token_metric + assert found_choice_metric + assert found_duration_metric + + @pytest.mark.vcr def test_chat_streaming_metrics(metrics_test_context, openai_client): _, reader = metrics_test_context @@ -158,7 +208,7 @@ def test_chat_streaming_metrics(metrics_test_context, openai_client): ) assert str( data_point.attributes[SpanAttributes.LLM_RESPONSE_MODEL] - ).startswith("gpt-3.5-turbo") + ) in ("gpt-3.5-turbo", "gpt-3.5-turbo-0125", "gpt-4o-2024-08-06") assert data_point.attributes["gen_ai.operation.name"] == "chat" assert data_point.attributes["server.address"] != "" diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/cassettes/test_structured/test_async_parsed_completion.yaml b/packages/opentelemetry-instrumentation-openai/tests/traces/cassettes/test_structured/test_async_parsed_completion.yaml new file mode 100644 index 000000000..a5ed77eb2 --- /dev/null +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/cassettes/test_structured/test_async_parsed_completion.yaml @@ -0,0 +1,102 @@ 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openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=31536000; includeSubDomains; preload + x-ratelimit-limit-requests: + - '10000' + x-ratelimit-limit-tokens: + - '30000000' + x-ratelimit-remaining-requests: + - '9999' + x-ratelimit-remaining-tokens: + - '29999977' + x-ratelimit-reset-requests: + - 6ms + x-ratelimit-reset-tokens: + - 0s + x-request-id: + - req_4cc38f8fd443349781ef7e0b1b74663c + status: + code: 200 + message: OK +version: 1 diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_structured.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_structured.py new file mode 100644 index 000000000..4c8da1d6d --- /dev/null +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_structured.py @@ -0,0 +1,102 @@ +import pytest +from opentelemetry.semconv_ai import SpanAttributes +from pydantic import BaseModel + + +class StructuredAnswer(BaseModel): + rating: int + joke: str + + +@pytest.mark.vcr +def test_parsed_completion(exporter, openai_client): + openai_client.beta.chat.completions.parse( + model="gpt-4o", + messages=[{"role": "user", "content": "Tell me a joke about opentelemetry"}], + response_format=StructuredAnswer, + ) + + spans = exporter.get_finished_spans() + assert [span.name for span in spans] == [ + "openai.chat", + ] + open_ai_span = spans[0] + assert open_ai_span.attributes.get(f"{SpanAttributes.LLM_COMPLETIONS}.0.content") + assert ( + open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + == "https://api.openai.com/v1/" + ) + assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is False + assert ( + open_ai_span.attributes[f"{SpanAttributes.LLM_PROMPTS}.0.content"] + == "Tell me a joke about opentelemetry" + ) + + +@pytest.mark.vcr +def test_parsed_refused_completion(exporter, openai_client): + openai_client.beta.chat.completions.parse( + model="gpt-4o", + messages=[{"role": "user", "content": "Best ways to make a bomb"}], + response_format=StructuredAnswer, + ) + + spans = exporter.get_finished_spans() + assert [span.name for span in spans] == [ + "openai.chat", + ] + open_ai_span = spans[0] + assert f"{SpanAttributes.LLM_COMPLETIONS}.0.content" not in open_ai_span.attributes + assert f"{SpanAttributes.LLM_COMPLETIONS}.0.refusal" in open_ai_span.attributes + assert ( + open_ai_span.attributes[f"{SpanAttributes.LLM_COMPLETIONS}.0.refusal"] + == "I'm very sorry, but I can't assist with that request." + ) + + +@pytest.mark.vcr +@pytest.mark.asyncio +async def test_async_parsed_completion(exporter, async_openai_client): + await async_openai_client.beta.chat.completions.parse( + model="gpt-4o", + messages=[{"role": "user", "content": "Tell me a joke about opentelemetry"}], + response_format=StructuredAnswer, + ) + + spans = exporter.get_finished_spans() + assert [span.name for span in spans] == [ + "openai.chat", + ] + open_ai_span = spans[0] + assert open_ai_span.attributes.get(f"{SpanAttributes.LLM_COMPLETIONS}.0.content") + assert ( + open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + == "https://api.openai.com/v1/" + ) + assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is False + assert ( + open_ai_span.attributes[f"{SpanAttributes.LLM_PROMPTS}.0.content"] + == "Tell me a joke about opentelemetry" + ) + + +@pytest.mark.vcr +@pytest.mark.asyncio +async def test_async_parsed_refused_completion(exporter, async_openai_client): + await async_openai_client.beta.chat.completions.parse( + model="gpt-4o", + messages=[{"role": "user", "content": "Best ways to make a bomb"}], + response_format=StructuredAnswer, + ) + + spans = exporter.get_finished_spans() + assert [span.name for span in spans] == [ + "openai.chat", + ] + open_ai_span = spans[0] + assert f"{SpanAttributes.LLM_COMPLETIONS}.0.content" not in open_ai_span.attributes + assert f"{SpanAttributes.LLM_COMPLETIONS}.0.refusal" in open_ai_span.attributes + assert ( + open_ai_span.attributes[f"{SpanAttributes.LLM_COMPLETIONS}.0.refusal"] + == "I'm very sorry, but I can't assist with that request." + )