From ff670f92c9540b87f6835df4a9449202ee65d95a Mon Sep 17 00:00:00 2001 From: Gal Zilberstein <48966615+galzilber@users.noreply.github.com> Date: Sun, 15 Mar 2026 15:50:14 +0200 Subject: [PATCH 01/22] feat(openai): updated gen_ai.attributes --- .../openai/shared/chat_wrappers.py | 84 +- .../openai/shared/completion_wrappers.py | 44 + .../instrumentation/openai/shared/config.py | 3 + .../openai/shared/event_models.py | 2 +- .../openai/v1/responses_wrappers.py | 14 +- .../tests/conftest.py | 12 + .../tests/traces/test_chat.py | 55 + .../tests/traces/test_completions.py | 38 + .../uv.lock | 1448 ++++++++--------- 9 files changed, 957 insertions(+), 743 deletions(-) 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 09c1908706..a29fd1b038 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 @@ -440,6 +440,58 @@ async def _process_image_item(item, trace_id, span_id, message_index, content_in @dont_throw async def _set_prompts(span, messages): + if Config.use_messages_attributes: + _set_input_messages(span, messages) + else: + await _legacy_set_prompts(span, messages) + +def _set_input_messages(span, messages): + if not span.is_recording() or messages is None: + return + + attr_messages = [] + for msg in messages: + role = msg.get("role") + if role == "tool": + id = msg.get("tool_call_id") + content = msg.get("content") + attr_messages.append({ + "role": role, + "parts": [{"type": "tool_call_response", "id": id, "response": content}], + }) + elif role == "user": + content = msg.get("content") + content = [{"content": content, "type": "text"}] if isinstance(content, str) else content + # TODO: convert image_url parts to uri parts, process image parts and add the new uri parts + attr_messages.append({ + "role": role, + "parts": content, + }) + elif role in ["system", "developer"]: + content = msg.get("content") + content = [{"content": content, "type": "text"}] if isinstance(content, str) else content + attr_messages.append({ + "role": role, + "parts": content, + }) + elif role == "assistant": + content = msg.get("content") + parts = [{"content": content, "type": "text"}] if isinstance(content, str) else content + tool_calls = _parse_tool_calls(msg.get("tool_calls")) or [] + for tool_call in tool_calls: + parts.append({ + "type": "tool_call_request", + "name": tool_call.function.get("name"), + "id": tool_call.id, + "arguments": tool_call.function.get("arguments"), + }) + attr_messages.append({ + "role": "assistant", + "parts": parts, + }) + _set_span_attribute(span, SpanAttributes.GEN_AI_INPUT_MESSAGES, json.dumps(attr_messages)) + +async def _legacy_set_prompts(span, messages): if not span.is_recording() or messages is None: return @@ -492,7 +544,37 @@ async def _set_prompts(span, messages): def _set_completions(span, choices): - if choices is None: + if Config.use_messages_attributes: + _set_output_messages(span, choices) + else: + _legacy_set_completions(span, choices) + +def _set_output_messages(span, choices): + if not span.is_recording() or choices is None: + return + + messages = [] + for choice in choices: + message = choice.get("message") + content = message.get("content") + parts = [{"content": content, "type": "text"}] if isinstance(content, str) else content + tool_calls = _parse_tool_calls(message.get("tool_calls")) or [] + for tool_call in tool_calls: + parts.append({ + "type": "tool_call_request", + "name": tool_call.function.get("name"), + "id": tool_call.id, + "arguments": tool_call.function.get("arguments"), + }) + messages.append({ + "role": "assistant", + "parts": parts, + "finish_reason": message.get("finish_reason") or "stop", + }) + _set_span_attribute(span, SpanAttributes.GEN_AI_OUTPUT_MESSAGES, json.dumps(messages)) + +def _legacy_set_completions(span, choices): + if not span.is_recording() or choices is None: return for choice in choices: diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py index 08baf1ed11..1d974b7701 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py @@ -1,3 +1,4 @@ +import json import logging from opentelemetry import context as context_api @@ -158,6 +159,24 @@ def _handle_response(response, span, instance=None): def _set_prompts(span, prompt): + if Config.use_messages_attributes: + _set_input_messages(span, prompt) + else: + _legacy_set_prompts(span, prompt) + +def _set_input_messages(span, prompt): + if not span.is_recording() or not prompt: + return + + prompt = prompt[0] if isinstance(prompt, list) else prompt + + _set_span_attribute( + span, + SpanAttributes.GEN_AI_INPUT_MESSAGES, + json.dumps([{"role": "user", "parts": [{"content": prompt, "type": "text"}]}]), + ) + +def _legacy_set_prompts(span, prompt): if not span.is_recording() or not prompt: return @@ -170,6 +189,31 @@ def _set_prompts(span, prompt): @dont_throw def _set_completions(span, choices): + if Config.use_messages_attributes: + _set_output_messages(span, choices) + else: + _legacy_set_completions(span, choices) + + +def _set_output_messages(span, choices): + if not span.is_recording() or not choices: + return + + messages = [] + for choice in choices: + messages.append({ + "role": "assistant", + "parts": [{"content": choice.get("text"), "type": "text"}], + "finish_reason": choice.get("finish_reason") or "stop", + }) + _set_span_attribute( + span, + SpanAttributes.GEN_AI_OUTPUT_MESSAGES, + json.dumps(messages), + ) + + +def _legacy_set_completions(span, choices): if not span.is_recording() or not choices: return diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/config.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/config.py index 088a9a8f8a..d80dabc0a0 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/config.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/config.py @@ -12,4 +12,7 @@ class Config: ) enable_trace_context_propagation: bool = True use_legacy_attributes = True + # Whether to report inputs and outputs as `gen_ai.input.messages` + # and `gen_ai.output.messages` attributes. + use_messages_attributes = False event_logger: Optional[Logger] = None diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_models.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_models.py index e3b5f3cc60..abfb88b1e4 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_models.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_models.py @@ -3,7 +3,7 @@ class _FunctionToolCall(TypedDict): - function_name: str + name: str arguments: Optional[dict[str, Any]] diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py index ac629c0dbc..5977004aea 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py @@ -216,19 +216,19 @@ def get_tools_from_kwargs(kwargs: dict) -> list[ToolParam]: def process_content_block( block: dict[str, Any], ) -> dict[str, Any]: - # TODO: keep the original type once backend supports it - if block.get("type") in ["text", "input_text", "output_text"]: - return {"type": "text", "text": block.get("text")} - elif block.get("type") in ["image", "input_image", "output_image"]: + block_type = block.get("type") + if block_type in ["text", "input_text", "output_text"]: + return {"type": block_type, "text": block.get("text")} + elif block_type in ["image", "input_image", "output_image"]: return { - "type": "image", + "type": block_type, "image_url": block.get("image_url"), "detail": block.get("detail"), "file_id": block.get("file_id"), } - elif block.get("type") in ["file", "input_file", "output_file"]: + elif block_type in ["file", "input_file", "output_file"]: return { - "type": "file", + "type": block_type, "file_id": block.get("file_id"), "filename": block.get("filename"), "file_data": block.get("file_data"), diff --git a/packages/opentelemetry-instrumentation-openai/tests/conftest.py b/packages/opentelemetry-instrumentation-openai/tests/conftest.py index a70ac5b47e..34e34ed4fe 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/conftest.py +++ b/packages/opentelemetry-instrumentation-openai/tests/conftest.py @@ -189,6 +189,18 @@ def instrument_with_no_content( instrumentor.uninstrument() +@pytest.fixture(scope="function") +def instrument_with_messages_attributes( + instrument_legacy, reader, tracer_provider, logger_provider, meter_provider +): + instrumentor = instrument_legacy + Config.use_messages_attributes = True + + yield instrumentor + + Config.use_messages_attributes = False + + @pytest.fixture(autouse=True) def clear_exporter(span_exporter): span_exporter.clear() diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py index 352c042bab..5d44f2c3cb 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py @@ -1,4 +1,5 @@ import asyncio +import json from unittest.mock import patch import httpx @@ -60,6 +61,60 @@ def test_chat(instrument_legacy, span_exporter, log_exporter, openai_client): ), "Assert that it doesn't emit logs when use_legacy_attributes is True" +@pytest.mark.vcr +def test_chat_with_messages_attributes( + instrument_with_messages_attributes, span_exporter, log_exporter, openai_client +): + openai_client.chat.completions.create( + model="gpt-5-nano", + messages=[{"role": "user", "content": "Tell me a joke about opentelemetry"}], + ) + + spans = span_exporter.get_finished_spans() + + assert [span.name for span in spans] == [ + "openai.chat", + ] + open_ai_span = spans[0] + assert ( + open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + == "https://api.openai.com/v1/" + ) + # assert ( + # open_ai_span.attributes.get( + # SpanAttributes.LLM_OPENAI_RESPONSE_SYSTEM_FINGERPRINT + # ) + # == "fp_2b778c6b35" + # ) + assert open_ai_span.attributes.get( + SpanAttributes.LLM_IS_STREAMING) is False + assert ( + open_ai_span.attributes.get("gen_ai.response.id") + == "chatcmpl-D9X7ymcBweNWeadgkGyG69kVYY16t" + ) + + logs = log_exporter.get_finished_logs() + assert ( + len(logs) == 0 + ), "Assert that it doesn't emit logs when use_legacy_attributes is True" + # Validate input messages shape + input_messages = json.loads(open_ai_span.attributes.get("gen_ai.input.messages")) + assert len(input_messages) == 1 + assert input_messages[0]["role"] == "user" + assert len(input_messages[0]["parts"]) == 1 + assert input_messages[0]["parts"][0]["type"] == "text" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + + # Validate output messages shape + output_messages = json.loads(open_ai_span.attributes.get("gen_ai.output.messages")) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" + assert output_messages[0]["finish_reason"] == "stop" + assert len(output_messages[0]["parts"]) >= 1 + assert output_messages[0]["parts"][0]["type"] == "text" + assert "content" in output_messages[0]["parts"][0] + + @pytest.mark.vcr def test_chat_with_events_with_content( instrument_with_content, span_exporter, log_exporter, openai_client diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py index fd67cbf2bb..45328396c9 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py @@ -1,3 +1,4 @@ +import json from unittest.mock import patch import httpx @@ -45,6 +46,43 @@ def test_completion(instrument_legacy, span_exporter, log_exporter, openai_clien ), "Assert that it doesn't emit logs when use_legacy_attributes is True" +@pytest.mark.vcr +def test_completion_with_messages_attributes( + instrument_with_messages_attributes, span_exporter, log_exporter, openai_client +): + openai_client.completions.create( + model="davinci-002", + prompt="Tell me a joke about opentelemetry", + ) + + spans = span_exporter.get_finished_spans() + assert [span.name for span in spans] == [ + "openai.completion", + ] + open_ai_span = spans[0] + # Validate input messages shape + input_messages = json.loads(open_ai_span.attributes.get("gen_ai.input.messages")) + assert len(input_messages) == 1 + assert input_messages[0]["role"] == "user" + assert len(input_messages[0]["parts"]) == 1 + assert input_messages[0]["parts"][0]["type"] == "text" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + + # Validate output messages shape + output_messages = json.loads(open_ai_span.attributes.get("gen_ai.output.messages")) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" + assert output_messages[0]["finish_reason"] == "stop" + assert len(output_messages[0]["parts"]) >= 1 + assert output_messages[0]["parts"][0]["type"] == "text" + assert "content" in output_messages[0]["parts"][0] + + logs = log_exporter.get_finished_logs() + assert ( + len(logs) == 0 + ), "Assert that it doesn't emit logs when use_legacy_attributes is True" + + @pytest.mark.vcr def test_completion_with_events_with_content( instrument_with_content, span_exporter, log_exporter, openai_client diff --git a/packages/opentelemetry-instrumentation-openai/uv.lock b/packages/opentelemetry-instrumentation-openai/uv.lock index c739773ccc..dd4c53ea13 100644 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a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py @@ -569,7 +569,7 @@ def _set_output_messages(span, choices): messages.append({ "role": "assistant", "parts": parts, - "finish_reason": message.get("finish_reason") or "stop", + "finish_reason": choice.get("finish_reason") or "stop", }) _set_span_attribute(span, SpanAttributes.GEN_AI_OUTPUT_MESSAGES, json.dumps(messages)) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py index 62d98692bc..581093d024 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py @@ -782,7 +782,7 @@ def test_chat_reasoning(instrument_legacy, span_exporter, span = spans[-1] assert span.attributes["llm.request.reasoning_effort"] == "low" - assert span.attributes["llm.usage.reasoning_tokens"] > 0 + assert span.attributes["gen_ai.usage.reasoning_tokens"] > 0 def assert_message_in_logs(log: ReadableLogRecord, event_name: str, expected_content: dict): diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py index 5d44f2c3cb..66a9ede885 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py @@ -1549,7 +1549,7 @@ def test_chat_reasoning(instrument_legacy, span_exporter, span = spans[-1] assert span.attributes["llm.request.reasoning_effort"] == "low" - assert span.attributes["llm.usage.reasoning_tokens"] > 0 + assert span.attributes["gen_ai.usage.reasoning_tokens"] > 0 @pytest.mark.vcr diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py index 45328396c9..adaa3a1e6a 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py @@ -72,7 +72,7 @@ def test_completion_with_messages_attributes( output_messages = json.loads(open_ai_span.attributes.get("gen_ai.output.messages")) assert len(output_messages) == 1 assert output_messages[0]["role"] == "assistant" - assert output_messages[0]["finish_reason"] == "stop" + assert output_messages[0]["finish_reason"] == "length" assert len(output_messages[0]["parts"]) >= 1 assert output_messages[0]["parts"][0]["type"] == "text" assert "content" in output_messages[0]["parts"][0] From 77e8ddf6f98cafcd4e649f5b978abd064c86b9c3 Mon Sep 17 00:00:00 2001 From: Gal Zilberstein <48966615+galzilber@users.noreply.github.com> Date: Sun, 15 Mar 2026 16:34:12 +0200 Subject: [PATCH 03/22] fx --- .../tests/traces/test_azure.py | 2 +- .../tests/traces/test_chat.py | 2 +- .../opentelemetry-instrumentation-openai/uv.lock | 2 +- .../opentelemetry/semconv_ai/__init__.py | 16 ---------------- 4 files changed, 3 insertions(+), 19 deletions(-) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py index 581093d024..48f2d83e5d 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py @@ -781,7 +781,7 @@ def test_chat_reasoning(instrument_legacy, span_exporter, assert len(spans) >= 1 span = spans[-1] - assert span.attributes["llm.request.reasoning_effort"] == "low" + assert span.attributes["gen_ai.request.reasoning_effort"] == "low" assert span.attributes["gen_ai.usage.reasoning_tokens"] > 0 diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py index 66a9ede885..171c693d6b 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py @@ -1548,7 +1548,7 @@ def test_chat_reasoning(instrument_legacy, span_exporter, assert len(spans) >= 1 span = spans[-1] - assert span.attributes["llm.request.reasoning_effort"] == "low" + assert span.attributes["gen_ai.request.reasoning_effort"] == "low" assert span.attributes["gen_ai.usage.reasoning_tokens"] > 0 diff --git a/packages/opentelemetry-instrumentation-openai/uv.lock b/packages/opentelemetry-instrumentation-openai/uv.lock index dd4c53ea13..c4e0b09701 100644 --- a/packages/opentelemetry-instrumentation-openai/uv.lock +++ b/packages/opentelemetry-instrumentation-openai/uv.lock @@ -538,7 +538,7 @@ wheels = [ [[package]] name = "opentelemetry-instrumentation-openai" -version = "0.52.4" +version = "0.53.0" source = { editable = "." } dependencies = [ { name = "opentelemetry-api" }, diff --git a/packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv_ai/__init__.py b/packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv_ai/__init__.py index 6a6298f6fa..ce07c2debc 100644 --- a/packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv_ai/__init__.py +++ b/packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv_ai/__init__.py @@ -69,22 +69,6 @@ class SpanAttributes: GEN_AI_USAGE_CACHE_READ_INPUT_TOKENS = "gen_ai.usage.cache_read.input_tokens" # LLM — project-policy attributes (not in upstream OTel spec) - GEN_AI_USAGE_TOTAL_TOKENS = "gen_ai.usage.total_tokens" - GEN_AI_USAGE_TOKEN_TYPE = "gen_ai.usage.token_type" - GEN_AI_USER = "gen_ai.user" - GEN_AI_HEADERS = "gen_ai.headers" - GEN_AI_IS_STREAMING = "gen_ai.is_streaming" - GEN_AI_REQUEST_REPETITION_PENALTY = "gen_ai.request.repetition_penalty" - GEN_AI_RESPONSE_FINISH_REASON = "gen_ai.response.finish_reason" - GEN_AI_RESPONSE_STOP_REASON = "gen_ai.response.stop_reason" - GEN_AI_CONTENT_COMPLETION_CHUNK = "gen_ai.content.completion.chunk" - GEN_AI_REQUEST_REASONING_EFFORT = "gen_ai.request.reasoning_effort" - GEN_AI_USAGE_REASONING_TOKENS = "gen_ai.usage.reasoning_tokens" - GEN_AI_REQUEST_N = "gen_ai.request.n" - GEN_AI_REQUEST_MAX_COMPLETION_TOKENS = "gen_ai.request.max_completion_tokens" - GEN_AI_REQUEST_STRUCTURED_OUTPUT_SCHEMA = "gen_ai.request.structured_output_schema" - GEN_AI_REQUEST_REASONING_SUMMARY = "gen_ai.request.reasoning_summary" - GEN_AI_RESPONSE_REASONING_EFFORT = "gen_ai.response.reasoning_effort" # OpenAI GEN_AI_OPENAI_API_BASE = "gen_ai.openai.api_base" From 38240f4937b34b7b08fcfb97ba98b0e5320fcef1 Mon Sep 17 00:00:00 2001 From: Max Deygin Date: Mon, 23 Mar 2026 10:36:01 +0200 Subject: [PATCH 04/22] Adjusting attribute names to SC 0.5.0 --- .../instrumentation/openai/shared/__init__.py | 40 +++++----- .../openai/shared/chat_wrappers.py | 42 +++++----- .../openai/shared/completion_wrappers.py | 15 ++-- .../openai/shared/embeddings_wrappers.py | 11 +-- .../openai/v1/assistant_wrappers.py | 6 +- .../openai/v1/realtime_wrappers.py | 8 +- .../openai/v1/responses_wrappers.py | 18 ++--- .../tests/traces/test_assistant.py | 25 +++--- .../tests/traces/test_azure.py | 54 ++++++------- .../tests/traces/test_chat.py | 78 +++++++++---------- .../tests/traces/test_chat_parse.py | 32 ++++---- .../tests/traces/test_completions.py | 30 +++---- .../tests/traces/test_embeddings.py | 24 +++--- .../tests/traces/test_functions.py | 26 +++---- .../tests/traces/test_realtime.py | 5 +- .../tests/traces/test_responses.py | 4 +- .../traces/test_streaming_with_api_usage.py | 2 +- .../tests/traces/test_vision.py | 12 +-- .../uv.lock | 2 +- .../opentelemetry/semconv_ai/__init__.py | 16 ++++ 20 files changed, 234 insertions(+), 216 deletions(-) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py index a27b1bcf81..f40554484f 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py @@ -48,11 +48,11 @@ def _set_client_attributes(span, instance): client = instance._client # pylint: disable=protected-access if isinstance(client, (openai.AsyncOpenAI, openai.OpenAI)): _set_span_attribute( - span, SpanAttributes.LLM_OPENAI_API_BASE, str(client.base_url) + span, SpanAttributes.GEN_AI_OPENAI_API_BASE, str(client.base_url) ) if isinstance(client, (openai.AsyncAzureOpenAI, openai.AzureOpenAI)): _set_span_attribute( - span, SpanAttributes.LLM_OPENAI_API_VERSION, client._api_version + span, SpanAttributes.GEN_AI_OPENAI_API_VERSION, client._api_version ) # pylint: disable=protected-access @@ -65,9 +65,9 @@ def _set_api_attributes(span): base_url = openai.base_url if hasattr(openai, "base_url") else openai.api_base - _set_span_attribute(span, SpanAttributes.LLM_OPENAI_API_BASE, base_url) - _set_span_attribute(span, SpanAttributes.LLM_OPENAI_API_TYPE, openai.api_type) - _set_span_attribute(span, SpanAttributes.LLM_OPENAI_API_VERSION, openai.api_version) + _set_span_attribute(span, SpanAttributes.GEN_AI_OPENAI_API_BASE, base_url) + _set_span_attribute(span, SpanAttributes.GEN_AI_OPENAI_API_TYPE, openai.api_type) + _set_span_attribute(span, SpanAttributes.GEN_AI_OPENAI_API_VERSION, openai.api_version) return @@ -77,7 +77,7 @@ def _set_functions_attributes(span, functions): return for i, function in enumerate(functions): - prefix = f"{SpanAttributes.LLM_REQUEST_FUNCTIONS}.{i}" + prefix = f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.{i}" _set_span_attribute(span, f"{prefix}.name", function.get("name")) _set_span_attribute(span, f"{prefix}.description", function.get("description")) _set_span_attribute( @@ -94,7 +94,7 @@ def set_tools_attributes(span, tools): if not function: continue - prefix = f"{SpanAttributes.LLM_REQUEST_FUNCTIONS}.{i}" + prefix = f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.{i}" _set_span_attribute(span, f"{prefix}.name", function.get("name")) _set_span_attribute(span, f"{prefix}.description", function.get("description")) _set_span_attribute( @@ -127,20 +127,20 @@ def _set_request_attributes(span, kwargs, instance=None): ) _set_span_attribute(span, GenAIAttributes.GEN_AI_REQUEST_TOP_P, kwargs.get("top_p")) _set_span_attribute( - span, SpanAttributes.LLM_FREQUENCY_PENALTY, kwargs.get("frequency_penalty") + span, GenAIAttributes.GEN_AI_REQUEST_FREQUENCY_PENALTY, kwargs.get("frequency_penalty") ) _set_span_attribute( - span, SpanAttributes.LLM_PRESENCE_PENALTY, kwargs.get("presence_penalty") + span, GenAIAttributes.GEN_AI_REQUEST_PRESENCE_PENALTY, kwargs.get("presence_penalty") ) - _set_span_attribute(span, SpanAttributes.LLM_USER, kwargs.get("user")) - _set_span_attribute(span, SpanAttributes.LLM_HEADERS, str(kwargs.get("headers"))) + _set_span_attribute(span, SpanAttributes.GEN_AI_USER, kwargs.get("user")) + _set_span_attribute(span, SpanAttributes.GEN_AI_HEADERS, str(kwargs.get("headers"))) # The new OpenAI SDK removed the `headers` and create new field called `extra_headers` if kwargs.get("extra_headers") is not None: _set_span_attribute( - span, SpanAttributes.LLM_HEADERS, str(kwargs.get("extra_headers")) + span, SpanAttributes.GEN_AI_HEADERS, str(kwargs.get("extra_headers")) ) _set_span_attribute( - span, SpanAttributes.LLM_IS_STREAMING, kwargs.get("stream") or False + span, SpanAttributes.GEN_AI_IS_STREAMING, kwargs.get("stream") or False ) _set_span_attribute( span, OpenAIAttributes.OPENAI_REQUEST_SERVICE_TIER, kwargs.get("service_tier") @@ -157,7 +157,7 @@ def _set_request_attributes(span, kwargs, instance=None): if schema: _set_span_attribute( span, - SpanAttributes.LLM_REQUEST_STRUCTURED_OUTPUT_SCHEMA, + SpanAttributes.GEN_AI_REQUEST_STRUCTURED_OUTPUT_SCHEMA, json.dumps(schema), ) elif ( @@ -169,7 +169,7 @@ def _set_request_attributes(span, kwargs, instance=None): ): _set_span_attribute( span, - SpanAttributes.LLM_REQUEST_STRUCTURED_OUTPUT_SCHEMA, + SpanAttributes.GEN_AI_REQUEST_STRUCTURED_OUTPUT_SCHEMA, json.dumps(response_format.model_json_schema()), ) else: @@ -185,7 +185,7 @@ def _set_request_attributes(span, kwargs, instance=None): if schema: _set_span_attribute( span, - SpanAttributes.LLM_REQUEST_STRUCTURED_OUTPUT_SCHEMA, + SpanAttributes.GEN_AI_REQUEST_STRUCTURED_OUTPUT_SCHEMA, schema, ) @@ -211,7 +211,7 @@ def _set_response_attributes(span, response): _set_span_attribute( span, - SpanAttributes.LLM_OPENAI_RESPONSE_SYSTEM_FINGERPRINT, + GenAIAttributes.GEN_AI_OPENAI_RESPONSE_SYSTEM_FINGERPRINT, response.get("system_fingerprint"), ) _set_span_attribute( @@ -228,7 +228,7 @@ def _set_response_attributes(span, response): usage = usage.__dict__ _set_span_attribute( - span, SpanAttributes.LLM_USAGE_TOTAL_TOKENS, usage.get("total_tokens") + span, SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS, usage.get("total_tokens") ) _set_span_attribute( span, @@ -241,7 +241,7 @@ def _set_response_attributes(span, response): prompt_tokens_details = dict(usage.get("prompt_tokens_details", {})) _set_span_attribute( span, - SpanAttributes.LLM_USAGE_CACHE_READ_INPUT_TOKENS, + SpanAttributes.GEN_AI_USAGE_CACHE_READ_INPUT_TOKENS, prompt_tokens_details.get("cached_tokens", 0), ) return @@ -276,7 +276,7 @@ def _set_span_stream_usage(span, prompt_tokens, completion_tokens): ): _set_span_attribute( span, - SpanAttributes.LLM_USAGE_TOTAL_TOKENS, + SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS, completion_tokens + prompt_tokens, ) 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 014a58f206..cb2a3f5f97 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 @@ -45,9 +45,11 @@ from opentelemetry.semconv._incubating.attributes import ( gen_ai_attributes as GenAIAttributes, ) +from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import ( + GenAiOperationNameValues, +) from opentelemetry.semconv_ai import ( SUPPRESS_LANGUAGE_MODEL_INSTRUMENTATION_KEY, - LLMRequestTypeValues, SpanAttributes, ) from opentelemetry.trace import SpanKind, Tracer @@ -59,7 +61,7 @@ PROMPT_FILTER_KEY = "prompt_filter_results" CONTENT_FILTER_KEY = "content_filter_results" -LLM_REQUEST_TYPE = LLMRequestTypeValues.CHAT +LLM_REQUEST_TYPE = GenAiOperationNameValues.CHAT logger = logging.getLogger(__name__) @@ -87,7 +89,7 @@ def chat_wrapper( span = tracer.start_span( SPAN_NAME, kind=SpanKind.CLIENT, - attributes={SpanAttributes.LLM_REQUEST_TYPE: LLM_REQUEST_TYPE.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: LLM_REQUEST_TYPE.value}, ) # Use the span as current context to ensure events get proper trace context @@ -185,7 +187,7 @@ async def achat_wrapper( span = tracer.start_span( SPAN_NAME, kind=SpanKind.CLIENT, - attributes={SpanAttributes.LLM_REQUEST_TYPE: LLM_REQUEST_TYPE.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: LLM_REQUEST_TYPE.value}, ) # Use the span as current context to ensure events get proper trace context @@ -292,7 +294,7 @@ async def _handle_request(span, kwargs, instance): reasoning_effort = kwargs.get("reasoning_effort") _set_span_attribute( span, - SpanAttributes.LLM_REQUEST_REASONING_EFFORT, + SpanAttributes.GEN_AI_REQUEST_REASONING_EFFORT, reasoning_effort or () ) @@ -345,7 +347,7 @@ def _handle_response( _set_span_attribute( span, - SpanAttributes.LLM_USAGE_REASONING_TOKENS, + SpanAttributes.GEN_AI_USAGE_REASONING_TOKENS, reasoning_tokens or 0, ) @@ -396,7 +398,7 @@ def _set_choice_counter_metrics(choice_counter, choices, shared_attributes): for choice in choices: attributes_with_reason = {**shared_attributes} if choice.get("finish_reason"): - attributes_with_reason[SpanAttributes.LLM_RESPONSE_FINISH_REASON] = ( + attributes_with_reason[SpanAttributes.GEN_AI_RESPONSE_FINISH_REASON] = ( choice.get("finish_reason") ) choice_counter.add(1, attributes=attributes_with_reason) @@ -476,20 +478,20 @@ def _set_input_messages(span, messages): }) elif role == "assistant": content = msg.get("content") - parts = [{"content": content, "type": "text"}] if isinstance(content, str) else content + parts = [{"content": content, "type": "text"}] if isinstance(content, str) else (content or []) tool_calls = _parse_tool_calls(msg.get("tool_calls")) or [] for tool_call in tool_calls: parts.append({ "type": "tool_call_request", - "name": tool_call.function.get("name"), - "id": tool_call.id, - "arguments": tool_call.function.get("arguments"), + "name": tool_call["function"]["name"], + "id": tool_call["id"], + "arguments": tool_call["function"].get("arguments"), }) attr_messages.append({ "role": "assistant", "parts": parts, }) - _set_span_attribute(span, SpanAttributes.GEN_AI_INPUT_MESSAGES, json.dumps(attr_messages)) + _set_span_attribute(span, GenAIAttributes.GEN_AI_INPUT_MESSAGES, json.dumps(attr_messages)) async def _legacy_set_prompts(span, messages): if not span.is_recording() or messages is None: @@ -557,21 +559,21 @@ def _set_output_messages(span, choices): for choice in choices: message = choice.get("message") content = message.get("content") - parts = [{"content": content, "type": "text"}] if isinstance(content, str) else content + parts = [{"content": content, "type": "text"}] if isinstance(content, str) else (content or []) tool_calls = _parse_tool_calls(message.get("tool_calls")) or [] for tool_call in tool_calls: parts.append({ "type": "tool_call_request", - "name": tool_call.function.get("name"), - "id": tool_call.id, - "arguments": tool_call.function.get("arguments"), + "name": tool_call["function"]["name"], + "id": tool_call["id"], + "arguments": tool_call["function"].get("arguments"), }) messages.append({ "role": "assistant", "parts": parts, "finish_reason": choice.get("finish_reason") or "stop", }) - _set_span_attribute(span, SpanAttributes.GEN_AI_OUTPUT_MESSAGES, json.dumps(messages)) + _set_span_attribute(span, GenAIAttributes.GEN_AI_OUTPUT_MESSAGES, json.dumps(messages)) def _legacy_set_completions(span, choices): if not span.is_recording() or choices is None: @@ -796,7 +798,7 @@ async def __anext__(self): def _process_item(self, item): self._span.add_event( - name=f"{SpanAttributes.LLM_CONTENT_COMPLETION_CHUNK}") + name=f"{SpanAttributes.GEN_AI_CONTENT_COMPLETION_CHUNK}") if self._first_token and self._streaming_time_to_first_token: self._time_of_first_token = time.time() @@ -957,7 +959,7 @@ def _build_from_streaming_response( time_of_first_token = start_time # will be updated when first token is received for item in response: - span.add_event(name=f"{SpanAttributes.LLM_CONTENT_COMPLETION_CHUNK}") + span.add_event(name=f"{SpanAttributes.GEN_AI_CONTENT_COMPLETION_CHUNK}") item_to_yield = item @@ -1028,7 +1030,7 @@ async def _abuild_from_streaming_response( time_of_first_token = start_time # will be updated when first token is received async for item in response: - span.add_event(name=f"{SpanAttributes.LLM_CONTENT_COMPLETION_CHUNK}") + span.add_event(name=f"{SpanAttributes.GEN_AI_CONTENT_COMPLETION_CHUNK}") item_to_yield = item diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py index 1d974b7701..6d61a796dc 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py @@ -32,16 +32,17 @@ from opentelemetry.semconv._incubating.attributes import ( gen_ai_attributes as GenAIAttributes, ) +from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import ( + GenAiOperationNameValues, +) from opentelemetry.semconv_ai import ( SUPPRESS_LANGUAGE_MODEL_INSTRUMENTATION_KEY, - LLMRequestTypeValues, - SpanAttributes, ) from opentelemetry.trace import SpanKind from opentelemetry.trace.status import Status, StatusCode SPAN_NAME = "openai.completion" -LLM_REQUEST_TYPE = LLMRequestTypeValues.COMPLETION +LLM_REQUEST_TYPE = GenAiOperationNameValues.TEXT_COMPLETION logger = logging.getLogger(__name__) @@ -57,7 +58,7 @@ def completion_wrapper(tracer, wrapped, instance, args, kwargs): span = tracer.start_span( SPAN_NAME, kind=SpanKind.CLIENT, - attributes={SpanAttributes.LLM_REQUEST_TYPE: LLM_REQUEST_TYPE.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: LLM_REQUEST_TYPE.value}, ) # Use the span as current context to ensure events get proper trace context @@ -93,7 +94,7 @@ async def acompletion_wrapper(tracer, wrapped, instance, args, kwargs): span = tracer.start_span( name=SPAN_NAME, kind=SpanKind.CLIENT, - attributes={SpanAttributes.LLM_REQUEST_TYPE: LLM_REQUEST_TYPE.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: LLM_REQUEST_TYPE.value}, ) # Use the span as current context to ensure events get proper trace context @@ -172,7 +173,7 @@ def _set_input_messages(span, prompt): _set_span_attribute( span, - SpanAttributes.GEN_AI_INPUT_MESSAGES, + GenAIAttributes.GEN_AI_INPUT_MESSAGES, json.dumps([{"role": "user", "parts": [{"content": prompt, "type": "text"}]}]), ) @@ -208,7 +209,7 @@ def _set_output_messages(span, choices): }) _set_span_attribute( span, - SpanAttributes.GEN_AI_OUTPUT_MESSAGES, + GenAIAttributes.GEN_AI_OUTPUT_MESSAGES, json.dumps(messages), ) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/embeddings_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/embeddings_wrappers.py index 855e883a68..760b69c94b 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/embeddings_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/embeddings_wrappers.py @@ -35,10 +35,11 @@ from opentelemetry.semconv._incubating.attributes import ( gen_ai_attributes as GenAIAttributes, ) +from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import ( + GenAiOperationNameValues, +) from opentelemetry.semconv_ai import ( SUPPRESS_LANGUAGE_MODEL_INSTRUMENTATION_KEY, - LLMRequestTypeValues, - SpanAttributes, ) from opentelemetry.trace import SpanKind, Status, StatusCode @@ -46,7 +47,7 @@ from openai.types.create_embedding_response import CreateEmbeddingResponse SPAN_NAME = "openai.embeddings" -LLM_REQUEST_TYPE = LLMRequestTypeValues.EMBEDDING +LLM_REQUEST_TYPE = GenAiOperationNameValues.EMBEDDINGS logger = logging.getLogger(__name__) @@ -71,7 +72,7 @@ def embeddings_wrapper( with tracer.start_as_current_span( name=SPAN_NAME, kind=SpanKind.CLIENT, - attributes={SpanAttributes.LLM_REQUEST_TYPE: LLM_REQUEST_TYPE.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: LLM_REQUEST_TYPE.value}, ) as span: _handle_request(span, kwargs, instance) @@ -136,7 +137,7 @@ async def aembeddings_wrapper( tracer=tracer, name=SPAN_NAME, kind=SpanKind.CLIENT, - attributes={SpanAttributes.LLM_REQUEST_TYPE: LLM_REQUEST_TYPE.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: LLM_REQUEST_TYPE.value}, ) as span: _handle_request(span, kwargs, instance) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py index 550f05632d..680f393d79 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py @@ -23,7 +23,7 @@ from opentelemetry.semconv._incubating.attributes import ( gen_ai_attributes as GenAIAttributes, ) -from opentelemetry.semconv_ai import LLMRequestTypeValues, SpanAttributes +from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import GenAiOperationNameValues from opentelemetry.trace import SpanKind, Status, StatusCode from openai._legacy_response import LegacyAPIResponse @@ -128,7 +128,7 @@ def messages_list_wrapper(tracer, wrapped, instance, args, kwargs): span = tracer.start_span( "openai.assistant.run", kind=SpanKind.CLIENT, - attributes={SpanAttributes.LLM_REQUEST_TYPE: LLMRequestTypeValues.CHAT.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: GenAiOperationNameValues.CHAT.value}, start_time=run.get("start_time"), ) @@ -257,7 +257,7 @@ def runs_create_and_stream_wrapper(tracer, wrapped, instance, args, kwargs): span = tracer.start_span( "openai.assistant.run_stream", kind=SpanKind.CLIENT, - attributes={SpanAttributes.LLM_REQUEST_TYPE: LLMRequestTypeValues.CHAT.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: GenAiOperationNameValues.CHAT.value}, ) # Use the span as current context to ensure events get proper trace context diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py index 7c009a3132..b5030fe367 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py @@ -122,7 +122,7 @@ def handle_session_updated(self, event): if hasattr(session, "modalities"): _set_span_attribute( self._state.session_span, - f"{SpanAttributes.LLM_REQUEST_TYPE}.modalities", + f"{GenAIAttributes.GEN_AI_OPERATION_NAME}.modalities", json.dumps(session.modalities) if session.modalities else None, ) if hasattr(session, "temperature") and session.temperature is not None: @@ -199,7 +199,7 @@ def handle_response_done(self, event): ) _set_span_attribute( span, - SpanAttributes.LLM_USAGE_TOTAL_TOKENS, + SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS, total, ) @@ -312,7 +312,7 @@ def start_response_span(self, end_existing: bool = False, set_input: bool = Fals ) _set_span_attribute( self._state.response_span, - SpanAttributes.LLM_REQUEST_TYPE, + GenAIAttributes.GEN_AI_OPERATION_NAME, "realtime", ) @@ -678,7 +678,7 @@ async def __aenter__(self): ) _set_span_attribute( self._state.session_span, - SpanAttributes.LLM_REQUEST_TYPE, + GenAIAttributes.GEN_AI_OPERATION_NAME, "realtime", ) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py index 5977004aea..4ee514c67d 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py @@ -262,12 +262,12 @@ def set_data_attributes(traced_response: TracedData, span: Span): _set_span_attribute(span, GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS, usage.input_tokens) _set_span_attribute(span, GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS, usage.output_tokens) _set_span_attribute( - span, SpanAttributes.LLM_USAGE_TOTAL_TOKENS, usage.total_tokens + span, SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS, usage.total_tokens ) if usage.input_tokens_details: _set_span_attribute( span, - SpanAttributes.LLM_USAGE_CACHE_READ_INPUT_TOKENS, + SpanAttributes.GEN_AI_USAGE_CACHE_READ_INPUT_TOKENS, usage.input_tokens_details.cached_tokens, ) @@ -285,23 +285,23 @@ def set_data_attributes(traced_response: TracedData, span: Span): _set_span_attribute( span, - SpanAttributes.LLM_USAGE_REASONING_TOKENS, + SpanAttributes.GEN_AI_USAGE_REASONING_TOKENS, reasoning_tokens or 0, ) _set_span_attribute( span, - f"{SpanAttributes.LLM_REQUEST_REASONING_SUMMARY}", + f"{SpanAttributes.GEN_AI_REQUEST_REASONING_SUMMARY}", traced_response.request_reasoning_summary or (), ) _set_span_attribute( span, - f"{SpanAttributes.LLM_REQUEST_REASONING_EFFORT}", + f"{SpanAttributes.GEN_AI_REQUEST_REASONING_EFFORT}", traced_response.request_reasoning_effort or (), ) _set_span_attribute( span, - f"{SpanAttributes.LLM_RESPONSE_REASONING_EFFORT}", + f"{SpanAttributes.GEN_AI_RESPONSE_REASONING_EFFORT}", traced_response.response_reasoning_effort or (), ) @@ -317,17 +317,17 @@ def set_data_attributes(traced_response: TracedData, span: Span): continue _set_span_attribute( span, - f"{SpanAttributes.LLM_REQUEST_FUNCTIONS}.{i}.description", + f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.{i}.description", description, ) _set_span_attribute( span, - f"{SpanAttributes.LLM_REQUEST_FUNCTIONS}.{i}.parameters", + f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.{i}.parameters", json.dumps(parameters), ) _set_span_attribute( span, - f"{SpanAttributes.LLM_REQUEST_FUNCTIONS}.{i}.name", + f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.{i}.name", name, ) if traced_response.instructions: diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py index f767ffbd6f..dc49e694a6 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py @@ -4,7 +4,6 @@ from opentelemetry.semconv._incubating.attributes import ( gen_ai_attributes as GenAIAttributes, ) -from opentelemetry.semconv_ai import SpanAttributes from typing_extensions import override @@ -56,7 +55,7 @@ def test_new_assistant( "openai.assistant.run", ] open_ai_span = spans[0] - assert open_ai_span.attributes[SpanAttributes.LLM_REQUEST_TYPE] == "chat" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert ( open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "gpt-4-turbo-preview" @@ -153,7 +152,7 @@ def test_new_assistant_with_events_with_content( "openai.assistant.run", ] open_ai_span = spans[0] - assert open_ai_span.attributes[SpanAttributes.LLM_REQUEST_TYPE] == "chat" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert ( open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "gpt-4-turbo-preview" @@ -234,7 +233,7 @@ def test_new_assistant_with_events_with_no_content( "openai.assistant.run", ] open_ai_span = spans[0] - assert open_ai_span.attributes[SpanAttributes.LLM_REQUEST_TYPE] == "chat" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert ( open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "gpt-4-turbo-preview" @@ -298,7 +297,7 @@ def test_new_assistant_with_polling( "openai.assistant.run", ] open_ai_span = spans[0] - assert open_ai_span.attributes["llm.request.type"] == "chat" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert open_ai_span.attributes["gen_ai.request.model"] == "gpt-4-turbo-preview" assert open_ai_span.attributes["gen_ai.response.model"] == "gpt-4-turbo-preview" assert ( @@ -378,7 +377,7 @@ def test_new_assistant_with_polling_with_events_with_content( "openai.assistant.run", ] open_ai_span = spans[0] - assert open_ai_span.attributes["llm.request.type"] == "chat" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert open_ai_span.attributes["gen_ai.request.model"] == "gpt-4-turbo-preview" assert open_ai_span.attributes["gen_ai.response.model"] == "gpt-4-turbo-preview" assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 86 @@ -452,7 +451,7 @@ def test_new_assistant_with_polling_with_events_with_no_content( "openai.assistant.run", ] open_ai_span = spans[0] - assert open_ai_span.attributes["llm.request.type"] == "chat" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert open_ai_span.attributes["gen_ai.request.model"] == "gpt-4-turbo-preview" assert open_ai_span.attributes["gen_ai.response.model"] == "gpt-4-turbo-preview" assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 86 @@ -772,7 +771,7 @@ def on_text_delta(self, delta, snapshot): "openai.assistant.run_stream", ] open_ai_span = spans[0] - assert open_ai_span.attributes[SpanAttributes.LLM_REQUEST_TYPE] == "chat" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert ( open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "gpt-4-turbo-preview" @@ -850,7 +849,7 @@ def on_text_delta(self, delta, snapshot): "openai.assistant.run_stream", ] open_ai_span = spans[0] - assert open_ai_span.attributes[SpanAttributes.LLM_REQUEST_TYPE] == "chat" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert ( open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "gpt-4-turbo-preview" @@ -953,7 +952,7 @@ def on_text_delta(self, delta, snapshot): "openai.assistant.run_stream", ] open_ai_span = spans[0] - assert open_ai_span.attributes[SpanAttributes.LLM_REQUEST_TYPE] == "chat" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert ( open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "gpt-4-turbo-preview" @@ -1022,7 +1021,7 @@ def on_text_delta(self, delta, snapshot): "openai.assistant.run_stream", ] open_ai_span = spans[0] - assert open_ai_span.attributes[SpanAttributes.LLM_REQUEST_TYPE] == "chat" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert ( open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "gpt-4-turbo-preview" @@ -1099,7 +1098,7 @@ def on_text_delta(self, delta, snapshot): "openai.assistant.run_stream", ] open_ai_span = spans[0] - assert open_ai_span.attributes[SpanAttributes.LLM_REQUEST_TYPE] == "chat" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert ( open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "gpt-4-turbo-preview" @@ -1187,7 +1186,7 @@ def on_text_delta(self, delta, snapshot): "openai.assistant.run_stream", ] open_ai_span = spans[0] - assert open_ai_span.attributes[SpanAttributes.LLM_REQUEST_TYPE] == "chat" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert ( open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "gpt-4-turbo-preview" diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py index 48f2d83e5d..0aa91bae5f 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py @@ -31,10 +31,10 @@ def test_chat(instrument_legacy, span_exporter, log_exporter, azure_openai_clien ) assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is False + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9HpbZPf84KZFiQG6fdY0KVtIwHyIa" @@ -62,10 +62,10 @@ def test_chat_with_events_with_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is False + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9HpbZPf84KZFiQG6fdY0KVtIwHyIa" @@ -108,10 +108,10 @@ def test_chat_with_events_with_no_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is False + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9HpbZPf84KZFiQG6fdY0KVtIwHyIa" @@ -152,10 +152,10 @@ def test_chat_content_filtering( == "FILTERED" ) assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is False + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9HpyGSWv1hoKdGaUaiFhfxzTEVlZo" @@ -197,10 +197,10 @@ def test_chat_content_filtering_with_events_with_content( open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is False + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9HpyGSWv1hoKdGaUaiFhfxzTEVlZo" @@ -242,10 +242,10 @@ def test_chat_content_filtering_with_events_with_no_content( open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is False + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9HpyGSWv1hoKdGaUaiFhfxzTEVlZo" @@ -430,10 +430,10 @@ def test_chat_streaming( ) assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True events = open_ai_span.events assert len(events) == chunk_count @@ -483,10 +483,10 @@ def test_chat_streaming_with_events_with_content( open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True events = open_ai_span.events assert len(events) == chunk_count @@ -553,10 +553,10 @@ def test_chat_streaming_with_events_with_no_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True events = open_ai_span.events assert len(events) == chunk_count @@ -617,13 +617,13 @@ async def test_chat_async_streaming( ) assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True # Only assert token usage if API provides it (Existing cassetes of Azure OpenAI may not include usage in streaming) - completion_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) + completion_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) prompt_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) total_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) if completion_tokens and prompt_tokens and total_tokens: @@ -665,13 +665,13 @@ async def test_chat_async_streaming_with_events_with_content( open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True # Only assert token usage if API provides it (Existing cassetes of Azure OpenAI may not include usage in streaming) - completion_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) + completion_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) prompt_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) total_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) if completion_tokens and prompt_tokens and total_tokens: @@ -731,13 +731,13 @@ async def test_chat_async_streaming_with_events_with_no_content( open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True # Only assert token usage if API provides it (Existing cassetes of Azure OpenAI may not include usage in streaming) - completion_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) + completion_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) prompt_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) total_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) if completion_tokens and prompt_tokens and total_tokens: diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py index 171c693d6b..547e03e932 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py @@ -39,17 +39,17 @@ def test_chat(instrument_legacy, span_exporter, log_exporter, openai_client): assert open_ai_span.attributes.get( f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) assert ( open_ai_span.attributes.get( - SpanAttributes.LLM_OPENAI_RESPONSE_SYSTEM_FINGERPRINT + GenAIAttributes.GEN_AI_OPENAI_RESPONSE_SYSTEM_FINGERPRINT ) == "fp_2b778c6b35" ) assert open_ai_span.attributes.get( - SpanAttributes.LLM_IS_STREAMING) is False + SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-908MD9ivBBLb6EaIjlqwFokntayQK" @@ -77,17 +77,17 @@ def test_chat_with_messages_attributes( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) # assert ( # open_ai_span.attributes.get( - # SpanAttributes.LLM_OPENAI_RESPONSE_SYSTEM_FINGERPRINT + # GenAIAttributes.GEN_AI_OPENAI_RESPONSE_SYSTEM_FINGERPRINT # ) # == "fp_2b778c6b35" # ) assert open_ai_span.attributes.get( - SpanAttributes.LLM_IS_STREAMING) is False + SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-D9X7ymcBweNWeadgkGyG69kVYY16t" @@ -133,17 +133,17 @@ def test_chat_with_events_with_content( open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) assert ( open_ai_span.attributes.get( - SpanAttributes.LLM_OPENAI_RESPONSE_SYSTEM_FINGERPRINT + GenAIAttributes.GEN_AI_OPENAI_RESPONSE_SYSTEM_FINGERPRINT ) == "fp_2b778c6b35" ) assert open_ai_span.attributes.get( - SpanAttributes.LLM_IS_STREAMING) is False + SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-908MD9ivBBLb6EaIjlqwFokntayQK" @@ -188,17 +188,17 @@ def test_chat_with_events_with_no_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) assert ( open_ai_span.attributes.get( - SpanAttributes.LLM_OPENAI_RESPONSE_SYSTEM_FINGERPRINT + GenAIAttributes.GEN_AI_OPENAI_RESPONSE_SYSTEM_FINGERPRINT ) == "fp_2b778c6b35" ) assert open_ai_span.attributes.get( - SpanAttributes.LLM_IS_STREAMING) is False + SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-908MD9ivBBLb6EaIjlqwFokntayQK" @@ -682,10 +682,10 @@ def test_chat_streaming(instrument_legacy, span_exporter, log_exporter, mock_ope assert open_ai_span.attributes.get( f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "http://localhost:5002/v1/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True events = open_ai_span.events # Mock OpenAI background may produce different number of events, just check it's reasonable @@ -694,7 +694,7 @@ def test_chat_streaming(instrument_legacy, span_exporter, log_exporter, mock_ope # check token usage attributes for stream completion_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) prompt_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) - total_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) + total_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) assert completion_tokens and prompt_tokens and total_tokens # When OpenAI API provides token usage, check that the sum of completion and prompt tokens equals total tokens assert completion_tokens + prompt_tokens == total_tokens @@ -731,10 +731,10 @@ def test_chat_streaming_with_events_with_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True events = open_ai_span.events assert len(events) == chunk_count @@ -742,7 +742,7 @@ def test_chat_streaming_with_events_with_content( # check token usage attributes for stream completion_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) prompt_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) - total_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) + total_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) # Only assert token usage if API provides it (modern OpenAI API includes usage in streaming) if completion_tokens and prompt_tokens and total_tokens: assert completion_tokens + prompt_tokens == total_tokens @@ -798,10 +798,10 @@ def test_chat_streaming_with_events_with_no_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True events = open_ai_span.events assert len(events) == chunk_count @@ -809,7 +809,7 @@ def test_chat_streaming_with_events_with_no_content( # check token usage attributes for stream (optional, depends on API support) completion_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) prompt_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) - total_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) + total_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) if completion_tokens and prompt_tokens and total_tokens: assert completion_tokens + prompt_tokens == total_tokens assert ( @@ -857,10 +857,10 @@ async def test_chat_async_streaming( ) assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True events = open_ai_span.events assert len(events) == chunk_count @@ -870,7 +870,7 @@ async def test_chat_async_streaming( GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS ) prompt_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) - total_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) + total_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) if completion_tokens and prompt_tokens and total_tokens: assert completion_tokens + prompt_tokens == total_tokens assert ( @@ -907,10 +907,10 @@ async def test_chat_async_streaming_with_events_with_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True events = open_ai_span.events assert len(events) == chunk_count @@ -920,7 +920,7 @@ async def test_chat_async_streaming_with_events_with_content( GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS ) prompt_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) - total_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) + total_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) if completion_tokens and prompt_tokens and total_tokens: assert completion_tokens + prompt_tokens == total_tokens assert ( @@ -974,10 +974,10 @@ async def test_chat_async_streaming_with_events_with_no_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True events = open_ai_span.events assert len(events) == chunk_count @@ -987,7 +987,7 @@ async def test_chat_async_streaming_with_events_with_no_content( GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS ) prompt_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) - total_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) + total_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) if completion_tokens and prompt_tokens and total_tokens: assert completion_tokens + prompt_tokens == total_tokens assert ( @@ -1593,11 +1593,11 @@ def test_chat_exception(instrument_legacy, span_exporter, openai_client): == "Tell me a joke about opentelemetry" ) assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) assert open_ai_span.attributes.get( - SpanAttributes.LLM_IS_STREAMING) is False + SpanAttributes.GEN_AI_IS_STREAMING) is False assert open_ai_span.status.status_code == StatusCode.ERROR assert open_ai_span.status.description.startswith("Error code: 401") events = open_ai_span.events @@ -1633,11 +1633,11 @@ async def test_chat_async_exception(instrument_legacy, span_exporter, async_open == "Tell me a joke about opentelemetry" ) assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) assert open_ai_span.attributes.get( - SpanAttributes.LLM_IS_STREAMING) is False + SpanAttributes.GEN_AI_IS_STREAMING) is False assert open_ai_span.status.status_code == StatusCode.ERROR assert open_ai_span.status.description.startswith("Error code: 401") events = open_ai_span.events @@ -1683,10 +1683,10 @@ def test_chat_streaming_not_consumed(instrument_legacy, span_exporter, log_expor assert open_ai_span.end_time > open_ai_span.start_time assert open_ai_span.attributes.get( - SpanAttributes.LLM_REQUEST_MODEL) == "gpt-3.5-turbo" - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + GenAIAttributes.GEN_AI_REQUEST_MODEL) == "gpt-3.5-turbo" + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True assert open_ai_span.attributes.get( - SpanAttributes.LLM_REQUEST_TYPE) == "chat" + GenAIAttributes.GEN_AI_OPERATION_NAME) == "chat" assert open_ai_span.attributes.get( f"{GenAIAttributes.GEN_AI_PROMPT}.0.content") == "Tell me a joke about opentelemetry" @@ -1764,8 +1764,8 @@ def test_chat_streaming_partial_consumption(instrument_legacy, span_exporter, lo assert open_ai_span.end_time is not None assert open_ai_span.attributes.get( - SpanAttributes.LLM_REQUEST_MODEL) == "gpt-3.5-turbo" - assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True + GenAIAttributes.GEN_AI_REQUEST_MODEL) == "gpt-3.5-turbo" + assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True # Should have at least one event from the consumed chunk events = open_ai_span.events diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_parse.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_parse.py index 4a908d10ea..ab70e3d2c6 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_parse.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_parse.py @@ -32,10 +32,10 @@ def test_parsed_completion( open_ai_span = spans[0] assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_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.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] == "Tell me a joke about opentelemetry" @@ -72,10 +72,10 @@ def test_parsed_completion_with_events_with_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_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.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-AGC1gNoe1Zyq9yZicdhLc85lmt2Ep" @@ -121,10 +121,10 @@ def test_parsed_completion_with_events_with_no_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_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.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-AGC1gNoe1Zyq9yZicdhLc85lmt2Ep" @@ -280,10 +280,10 @@ async def test_async_parsed_completion( open_ai_span = spans[0] assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_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.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] == "Tell me a joke about opentelemetry" @@ -320,10 +320,10 @@ async def test_async_parsed_completion_with_events_with_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_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.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-AGC1iysV7rZ0qZ510vbeKVTNxSOHB" @@ -370,10 +370,10 @@ async def test_async_parsed_completion_with_events_with_no_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_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.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-AGC1iysV7rZ0qZ510vbeKVTNxSOHB" @@ -543,8 +543,8 @@ def test_parsed_completion_exception( assert len(spans) == 1 span: Span = spans[0] assert span.name == "openai.chat" - assert span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) == "https://api.openai.com/v1/" - assert span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is False + assert span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" + assert span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert span.attributes.get(f"{GenAIAttributes.GEN_AI_PROMPT}.0.content") == "Tell me a joke about opentelemetry" assert span.attributes.get(f"{GenAIAttributes.GEN_AI_PROMPT}.0.role") == "user" @@ -578,8 +578,8 @@ async def test_async_parsed_completion_exception( assert len(spans) == 1 span: Span = spans[0] assert span.name == "openai.chat" - assert span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) == "https://api.openai.com/v1/" - assert span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is False + assert span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" + assert span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert span.attributes.get(f"{GenAIAttributes.GEN_AI_PROMPT}.0.content") == "Tell me a joke about opentelemetry" assert span.attributes.get(f"{GenAIAttributes.GEN_AI_PROMPT}.0.role") == "user" diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py index adaa3a1e6a..475a2c6356 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py @@ -31,10 +31,10 @@ def test_completion(instrument_legacy, span_exporter, log_exporter, openai_clien ) assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_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.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "cmpl-8wq42D1Socatcl1rCmgYZOFX7dFZw" @@ -98,10 +98,10 @@ def test_completion_with_events_with_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_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.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "cmpl-8wq42D1Socatcl1rCmgYZOFX7dFZw" @@ -142,10 +142,10 @@ def test_completion_with_events_with_no_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_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.get(SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( open_ai_span.attributes.get("gen_ai.response.id") == "cmpl-8wq42D1Socatcl1rCmgYZOFX7dFZw" @@ -404,7 +404,7 @@ def test_completion_streaming( f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content" ) assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "http://localhost:5002/v1/" ) @@ -416,7 +416,7 @@ def test_completion_streaming( GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS ) total_tokens = open_ai_span.attributes.get( - SpanAttributes.LLM_USAGE_TOTAL_TOKENS + SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS ) # Only assert if token usage is available (depends on API support) if completion_tokens and prompt_tokens and total_tokens: @@ -447,7 +447,7 @@ def test_completion_streaming_with_events_with_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) @@ -458,7 +458,7 @@ def test_completion_streaming_with_events_with_content( GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS ) total_tokens = open_ai_span.attributes.get( - SpanAttributes.LLM_USAGE_TOTAL_TOKENS + SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS ) # Only assert token usage if API provides it (modern OpenAI API includes usage in streaming) if completion_tokens and prompt_tokens and total_tokens: @@ -509,7 +509,7 @@ def test_completion_streaming_with_events_with_no_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) @@ -521,7 +521,7 @@ def test_completion_streaming_with_events_with_no_content( GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS ) total_tokens = open_ai_span.attributes.get( - SpanAttributes.LLM_USAGE_TOTAL_TOKENS + SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS ) # Only assert token usage if API provides it (modern OpenAI API includes usage in streaming) if completion_tokens and prompt_tokens and total_tokens: @@ -568,7 +568,7 @@ async def test_async_completion_streaming( ) assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) assert ( @@ -602,7 +602,7 @@ async def test_async_completion_streaming_with_events_with_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) assert ( @@ -652,7 +652,7 @@ async def test_async_completion_streaming_with_events_with_no_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE) + open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) assert ( diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_embeddings.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_embeddings.py index a56510ad48..25018c507a 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_embeddings.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_embeddings.py @@ -35,7 +35,7 @@ def test_embeddings(instrument_legacy, span_exporter, log_exporter, openai_clien ) assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 8 assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) @@ -65,7 +65,7 @@ def test_embeddings_with_events_with_content( ) assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 8 assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) @@ -109,7 +109,7 @@ def test_embeddings_with_events_with_no_content( ) assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 8 assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) @@ -149,7 +149,7 @@ def test_embeddings_with_raw_response( ) assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 8 assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) @@ -182,7 +182,7 @@ def test_embeddings_with_raw_response_with_events_with_content( ) assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 8 assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) @@ -229,7 +229,7 @@ def test_embeddings_with_raw_response_with_events_with_no_content( ) assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 8 assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) @@ -277,11 +277,11 @@ def test_azure_openai_embeddings(instrument_legacy, span_exporter, log_exporter) assert open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "embedding" assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 8 assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == f"https://{azure_resource}.openai.azure.com/openai/deployments/{azure_deployment}/" ) assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_VERSION] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_VERSION] == "2023-07-01-preview" ) @@ -318,11 +318,11 @@ def test_azure_openai_embeddings_with_events_with_content( assert open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "embedding" assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 8 assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == f"https://{azure_resource}.openai.azure.com/openai/deployments/{azure_deployment}/" ) assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_VERSION] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_VERSION] == "2023-07-01-preview" ) @@ -373,11 +373,11 @@ def test_azure_openai_embeddings_with_events_with_no_content( assert open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "embedding" assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 8 assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == f"https://{azure_resource}.openai.azure.com/openai/deployments/{azure_deployment}/" ) assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_VERSION] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_VERSION] == "2023-07-01-preview" ) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_functions.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_functions.py index d088630be8..5837d93877 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_functions.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_functions.py @@ -66,11 +66,11 @@ def test_open_ai_function_calls( == "What's the weather like in Boston?" ) assert ( - open_ai_span.attributes[f"{SpanAttributes.LLM_REQUEST_FUNCTIONS}.0.name"] + open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.name"] == "get_current_weather" ) assert ( - open_ai_span.attributes[f"{SpanAttributes.LLM_REQUEST_FUNCTIONS}.0.description"] + open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.description"] == "Get the current weather in a given location" ) assert ( @@ -78,7 +78,7 @@ def test_open_ai_function_calls( == "get_current_weather" ) assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) assert ( @@ -125,7 +125,7 @@ def test_open_ai_function_calls_with_events_with_content( spans = span_exporter.get_finished_spans() open_ai_span = spans[0] assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) assert ( @@ -196,7 +196,7 @@ def test_open_ai_function_calls_with_events_with_no_content( spans = span_exporter.get_finished_spans() open_ai_span = spans[0] assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) assert ( @@ -245,11 +245,11 @@ def test_open_ai_function_calls_tools( == "What's the weather like in Boston?" ) assert ( - open_ai_span.attributes[f"{SpanAttributes.LLM_REQUEST_FUNCTIONS}.0.name"] + open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.name"] == "get_current_weather" ) assert ( - open_ai_span.attributes[f"{SpanAttributes.LLM_REQUEST_FUNCTIONS}.0.description"] + open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.description"] == "Get the current weather" ) assert isinstance( @@ -261,7 +261,7 @@ def test_open_ai_function_calls_tools( == "get_current_weather" ) assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) assert ( @@ -289,7 +289,7 @@ def test_open_ai_function_calls_tools_with_events_with_content( spans = span_exporter.get_finished_spans() open_ai_span = spans[0] assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) assert ( @@ -341,7 +341,7 @@ def test_open_ai_function_calls_tools_with_events_with_no_content( spans = span_exporter.get_finished_spans() open_ai_span = spans[0] assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) assert ( @@ -397,7 +397,7 @@ async def test_open_ai_function_calls_tools_streaming( str, ) assert ( - open_ai_span.attributes.get(f"{SpanAttributes.LLM_REQUEST_FUNCTIONS}.0.name") + open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.name") == "get_current_weather" ) assert ( @@ -560,7 +560,7 @@ def test_open_ai_function_calls_tools_parallel( open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(f"{SpanAttributes.LLM_REQUEST_FUNCTIONS}.0.name") + open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.name") == "get_current_weather" ) assert ( @@ -754,7 +754,7 @@ async def test_open_ai_function_calls_tools_streaming_parallel( open_ai_span = spans[0] assert ( - open_ai_span.attributes.get(f"{SpanAttributes.LLM_REQUEST_FUNCTIONS}.0.name") + open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.name") == "get_current_weather" ) assert ( diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py index de0d5b4d4a..a2575914e7 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py @@ -13,7 +13,6 @@ from opentelemetry.semconv._incubating.attributes import ( gen_ai_attributes as GenAIAttributes, ) -from opentelemetry.semconv_ai import SpanAttributes from opentelemetry.trace import StatusCode @@ -474,12 +473,12 @@ async def test_full_text_conversation_flow(self, tracer_provider_and_exporter): session_span = next(s for s in spans if s.name == "openai.session") assert session_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" assert session_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "gpt-4o-realtime-preview" - assert session_span.attributes[SpanAttributes.LLM_REQUEST_TYPE] == "realtime" + assert session_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "realtime" assert session_span.status.status_code == StatusCode.OK response_span = next(s for s in spans if s.name == "openai.realtime") assert response_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" - assert response_span.attributes[SpanAttributes.LLM_REQUEST_TYPE] == "realtime" + assert response_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "realtime" # Verify finish_reason is "stop" for text response without tool calls attrs = dict(response_span.attributes) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py index 6f9c1ee036..6764856030 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py @@ -656,7 +656,7 @@ def test_responses_streaming_with_parent_span( assert full_text != "", "Should have received streaming content" assert openai_span.attributes["gen_ai.system"] == "openai" assert openai_span.attributes["gen_ai.request.model"] == "gpt-4o" - assert openai_span.attributes["llm.is_streaming"] is True + assert openai_span.attributes["gen_ai.is_streaming"] is True @pytest.mark.vcr @@ -728,7 +728,7 @@ async def test_responses_streaming_async_with_parent_span( assert full_text != "", "Should have received streaming content" assert openai_span.attributes["gen_ai.system"] == "openai" assert openai_span.attributes["gen_ai.request.model"] == "gpt-4o" - assert openai_span.attributes["llm.is_streaming"] is True + assert openai_span.attributes["gen_ai.is_streaming"] is True def test_response_stream_init_with_not_given_reasoning(): diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_streaming_with_api_usage.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_streaming_with_api_usage.py index 1faca441ee..72c72450e4 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_streaming_with_api_usage.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_streaming_with_api_usage.py @@ -41,7 +41,7 @@ def test_streaming_with_api_usage_capture( # Check that token usage is captured from API response assert span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) > 0 assert span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) > 0 - assert span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) > 0 + assert span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) > 0 # Verify that the response content is meaningful assert len(response_content) > 0 diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_vision.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_vision.py index b1aa7c642b..b5beac1db0 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_vision.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_vision.py @@ -50,7 +50,7 @@ def test_vision(instrument_legacy, span_exporter, log_exporter, openai_client): assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) assert ( @@ -95,7 +95,7 @@ def test_vision_with_events_with_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) assert ( @@ -166,7 +166,7 @@ def test_vision_with_events_with_no_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) assert ( @@ -236,7 +236,7 @@ def test_vision_base64(instrument_legacy, span_exporter, log_exporter, openai_cl assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) assert ( @@ -291,7 +291,7 @@ def test_vision_base64_with_events_with_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) assert ( @@ -370,7 +370,7 @@ def test_vision_base64_with_events_with_no_content( ] open_ai_span = spans[0] assert ( - open_ai_span.attributes[SpanAttributes.LLM_OPENAI_API_BASE] + open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" ) assert ( diff --git a/packages/opentelemetry-instrumentation-openai/uv.lock b/packages/opentelemetry-instrumentation-openai/uv.lock index c4e0b09701..32b6d15615 100644 --- a/packages/opentelemetry-instrumentation-openai/uv.lock +++ b/packages/opentelemetry-instrumentation-openai/uv.lock @@ -538,7 +538,7 @@ wheels = [ [[package]] name = "opentelemetry-instrumentation-openai" -version = "0.53.0" +version = "0.53.3" source = { editable = "." } dependencies = [ { name = "opentelemetry-api" }, diff --git a/packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv_ai/__init__.py b/packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv_ai/__init__.py index ce07c2debc..6a6298f6fa 100644 --- a/packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv_ai/__init__.py +++ b/packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv_ai/__init__.py @@ -69,6 +69,22 @@ class SpanAttributes: GEN_AI_USAGE_CACHE_READ_INPUT_TOKENS = "gen_ai.usage.cache_read.input_tokens" # LLM — project-policy attributes (not in upstream OTel spec) + GEN_AI_USAGE_TOTAL_TOKENS = "gen_ai.usage.total_tokens" + GEN_AI_USAGE_TOKEN_TYPE = "gen_ai.usage.token_type" + GEN_AI_USER = "gen_ai.user" + GEN_AI_HEADERS = "gen_ai.headers" + GEN_AI_IS_STREAMING = "gen_ai.is_streaming" + GEN_AI_REQUEST_REPETITION_PENALTY = "gen_ai.request.repetition_penalty" + GEN_AI_RESPONSE_FINISH_REASON = "gen_ai.response.finish_reason" + GEN_AI_RESPONSE_STOP_REASON = "gen_ai.response.stop_reason" + GEN_AI_CONTENT_COMPLETION_CHUNK = "gen_ai.content.completion.chunk" + GEN_AI_REQUEST_REASONING_EFFORT = "gen_ai.request.reasoning_effort" + GEN_AI_USAGE_REASONING_TOKENS = "gen_ai.usage.reasoning_tokens" + GEN_AI_REQUEST_N = "gen_ai.request.n" + GEN_AI_REQUEST_MAX_COMPLETION_TOKENS = "gen_ai.request.max_completion_tokens" + GEN_AI_REQUEST_STRUCTURED_OUTPUT_SCHEMA = "gen_ai.request.structured_output_schema" + GEN_AI_REQUEST_REASONING_SUMMARY = "gen_ai.request.reasoning_summary" + GEN_AI_RESPONSE_REASONING_EFFORT = "gen_ai.response.reasoning_effort" # OpenAI GEN_AI_OPENAI_API_BASE = "gen_ai.openai.api_base" From ee7f5eea6c5785e0e3124d550bc4e393869b2d26 Mon Sep 17 00:00:00 2001 From: Max Deygin Date: Mon, 23 Mar 2026 12:21:21 +0200 Subject: [PATCH 05/22] Fixes --- .../openai/shared/chat_wrappers.py | 42 +-- .../openai/shared/completion_wrappers.py | 9 +- .../openai/shared/embeddings_wrappers.py | 6 +- .../openai/v1/responses_wrappers.py | 6 +- .../tests/traces/test_chat.py | 6 - .../tests/traces/test_messages_attributes.py | 242 ++++++++++++++++++ .../uv.lock | 14 +- 7 files changed, 288 insertions(+), 37 deletions(-) create mode 100644 packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py 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 cb2a3f5f97..6a458e0d43 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 @@ -61,7 +61,7 @@ PROMPT_FILTER_KEY = "prompt_filter_results" CONTENT_FILTER_KEY = "content_filter_results" -LLM_REQUEST_TYPE = GenAiOperationNameValues.CHAT +OPERATION_NAME = GenAiOperationNameValues.CHAT logger = logging.getLogger(__name__) @@ -89,7 +89,7 @@ def chat_wrapper( span = tracer.start_span( SPAN_NAME, kind=SpanKind.CLIENT, - attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: LLM_REQUEST_TYPE.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: OPERATION_NAME.value}, ) # Use the span as current context to ensure events get proper trace context @@ -187,7 +187,7 @@ async def achat_wrapper( span = tracer.start_span( SPAN_NAME, kind=SpanKind.CLIENT, - attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: LLM_REQUEST_TYPE.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: OPERATION_NAME.value}, ) # Use the span as current context to ensure events get proper trace context @@ -455,26 +455,25 @@ def _set_input_messages(span, messages): for msg in messages: role = msg.get("role") if role == "tool": - id = msg.get("tool_call_id") + tool_call_id = msg.get("tool_call_id") content = msg.get("content") attr_messages.append({ "role": role, - "parts": [{"type": "tool_call_response", "id": id, "response": content}], + "parts": [{"type": "tool_call_response", "id": tool_call_id, "response": content}], }) elif role == "user": content = msg.get("content") - content = [{"content": content, "type": "text"}] if isinstance(content, str) else content - # TODO: convert image_url parts to uri parts, process image parts and add the new uri parts + parts = [{"content": content, "type": "text"}] if isinstance(content, str) else (content or []) attr_messages.append({ "role": role, - "parts": content, + "parts": parts, }) elif role in ["system", "developer"]: content = msg.get("content") - content = [{"content": content, "type": "text"}] if isinstance(content, str) else content + parts = [{"content": content, "type": "text"}] if isinstance(content, str) else (content or []) attr_messages.append({ "role": role, - "parts": content, + "parts": parts, }) elif role == "assistant": content = msg.get("content") @@ -482,7 +481,7 @@ def _set_input_messages(span, messages): tool_calls = _parse_tool_calls(msg.get("tool_calls")) or [] for tool_call in tool_calls: parts.append({ - "type": "tool_call_request", + "type": "tool_call", "name": tool_call["function"]["name"], "id": tool_call["id"], "arguments": tool_call["function"].get("arguments"), @@ -551,6 +550,15 @@ def _set_completions(span, choices): else: _legacy_set_completions(span, choices) +OPENAI_FINISH_REASON_MAP = { + "tool_calls": "tool_call", +} + +def _map_finish_reason(reason): + if not reason: + return "stop" + return OPENAI_FINISH_REASON_MAP.get(reason, reason) + def _set_output_messages(span, choices): if not span.is_recording() or choices is None: return @@ -558,12 +566,14 @@ def _set_output_messages(span, choices): messages = [] for choice in choices: message = choice.get("message") + if not message: + continue content = message.get("content") parts = [{"content": content, "type": "text"}] if isinstance(content, str) else (content or []) tool_calls = _parse_tool_calls(message.get("tool_calls")) or [] for tool_call in tool_calls: parts.append({ - "type": "tool_call_request", + "type": "tool_call", "name": tool_call["function"]["name"], "id": tool_call["id"], "arguments": tool_call["function"].get("arguments"), @@ -571,7 +581,7 @@ def _set_output_messages(span, choices): messages.append({ "role": "assistant", "parts": parts, - "finish_reason": choice.get("finish_reason") or "stop", + "finish_reason": _map_finish_reason(choice.get("finish_reason")), }) _set_span_attribute(span, GenAIAttributes.GEN_AI_OUTPUT_MESSAGES, json.dumps(messages)) @@ -798,7 +808,7 @@ async def __anext__(self): def _process_item(self, item): self._span.add_event( - name=f"{SpanAttributes.GEN_AI_CONTENT_COMPLETION_CHUNK}") + name=SpanAttributes.GEN_AI_CONTENT_COMPLETION_CHUNK) if self._first_token and self._streaming_time_to_first_token: self._time_of_first_token = time.time() @@ -959,7 +969,7 @@ def _build_from_streaming_response( time_of_first_token = start_time # will be updated when first token is received for item in response: - span.add_event(name=f"{SpanAttributes.GEN_AI_CONTENT_COMPLETION_CHUNK}") + span.add_event(name=SpanAttributes.GEN_AI_CONTENT_COMPLETION_CHUNK) item_to_yield = item @@ -1030,7 +1040,7 @@ async def _abuild_from_streaming_response( time_of_first_token = start_time # will be updated when first token is received async for item in response: - span.add_event(name=f"{SpanAttributes.GEN_AI_CONTENT_COMPLETION_CHUNK}") + span.add_event(name=SpanAttributes.GEN_AI_CONTENT_COMPLETION_CHUNK) item_to_yield = item diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py index 6d61a796dc..f507c9da45 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py @@ -15,6 +15,7 @@ propagate_trace_context, ) from opentelemetry.instrumentation.openai.shared.config import Config +from opentelemetry.instrumentation.openai.shared.chat_wrappers import _map_finish_reason from opentelemetry.semconv.attributes.error_attributes import ERROR_TYPE from opentelemetry.instrumentation.openai.shared.event_emitter import emit_event from opentelemetry.instrumentation.openai.shared.event_models import ( @@ -42,7 +43,7 @@ from opentelemetry.trace.status import Status, StatusCode SPAN_NAME = "openai.completion" -LLM_REQUEST_TYPE = GenAiOperationNameValues.TEXT_COMPLETION +OPERATION_NAME = GenAiOperationNameValues.TEXT_COMPLETION logger = logging.getLogger(__name__) @@ -58,7 +59,7 @@ def completion_wrapper(tracer, wrapped, instance, args, kwargs): span = tracer.start_span( SPAN_NAME, kind=SpanKind.CLIENT, - attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: LLM_REQUEST_TYPE.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: OPERATION_NAME.value}, ) # Use the span as current context to ensure events get proper trace context @@ -94,7 +95,7 @@ async def acompletion_wrapper(tracer, wrapped, instance, args, kwargs): span = tracer.start_span( name=SPAN_NAME, kind=SpanKind.CLIENT, - attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: LLM_REQUEST_TYPE.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: OPERATION_NAME.value}, ) # Use the span as current context to ensure events get proper trace context @@ -205,7 +206,7 @@ def _set_output_messages(span, choices): messages.append({ "role": "assistant", "parts": [{"content": choice.get("text"), "type": "text"}], - "finish_reason": choice.get("finish_reason") or "stop", + "finish_reason": _map_finish_reason(choice.get("finish_reason")), }) _set_span_attribute( span, diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/embeddings_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/embeddings_wrappers.py index 760b69c94b..4a9a8bf992 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/embeddings_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/embeddings_wrappers.py @@ -47,7 +47,7 @@ from openai.types.create_embedding_response import CreateEmbeddingResponse SPAN_NAME = "openai.embeddings" -LLM_REQUEST_TYPE = GenAiOperationNameValues.EMBEDDINGS +OPERATION_NAME = GenAiOperationNameValues.EMBEDDINGS logger = logging.getLogger(__name__) @@ -72,7 +72,7 @@ def embeddings_wrapper( with tracer.start_as_current_span( name=SPAN_NAME, kind=SpanKind.CLIENT, - attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: LLM_REQUEST_TYPE.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: OPERATION_NAME.value}, ) as span: _handle_request(span, kwargs, instance) @@ -137,7 +137,7 @@ async def aembeddings_wrapper( tracer=tracer, name=SPAN_NAME, kind=SpanKind.CLIENT, - attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: LLM_REQUEST_TYPE.value}, + attributes={GenAIAttributes.GEN_AI_OPERATION_NAME: OPERATION_NAME.value}, ) as span: _handle_request(span, kwargs, instance) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py index 4ee514c67d..300b7a6978 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py @@ -291,17 +291,17 @@ def set_data_attributes(traced_response: TracedData, span: Span): _set_span_attribute( span, - f"{SpanAttributes.GEN_AI_REQUEST_REASONING_SUMMARY}", + SpanAttributes.GEN_AI_REQUEST_REASONING_SUMMARY, traced_response.request_reasoning_summary or (), ) _set_span_attribute( span, - f"{SpanAttributes.GEN_AI_REQUEST_REASONING_EFFORT}", + SpanAttributes.GEN_AI_REQUEST_REASONING_EFFORT, traced_response.request_reasoning_effort or (), ) _set_span_attribute( span, - f"{SpanAttributes.GEN_AI_RESPONSE_REASONING_EFFORT}", + SpanAttributes.GEN_AI_RESPONSE_REASONING_EFFORT, traced_response.response_reasoning_effort or (), ) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py index 547e03e932..e4cface011 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py @@ -80,12 +80,6 @@ def test_chat_with_messages_attributes( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) - # assert ( - # open_ai_span.attributes.get( - # GenAIAttributes.GEN_AI_OPENAI_RESPONSE_SYSTEM_FINGERPRINT - # ) - # == "fp_2b778c6b35" - # ) assert open_ai_span.attributes.get( SpanAttributes.GEN_AI_IS_STREAMING) is False assert ( diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py new file mode 100644 index 0000000000..35303f5e33 --- /dev/null +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py @@ -0,0 +1,242 @@ +"""Unit tests for gen_ai.input.messages / gen_ai.output.messages formatting. + +These test the _set_input_messages and _set_output_messages code paths +using mocked spans, without VCR cassettes. +""" + +import json +from unittest.mock import MagicMock + +import pytest +from opentelemetry.semconv._incubating.attributes import ( + gen_ai_attributes as GenAIAttributes, +) + +from opentelemetry.instrumentation.openai.shared.chat_wrappers import ( + _set_input_messages, + _set_output_messages, +) + + +@pytest.fixture +def mock_span(): + span = MagicMock() + span.is_recording.return_value = True + attrs = {} + + def set_attribute(name, value): + attrs[name] = value + + span.set_attribute = set_attribute + span._attrs = attrs + return span + + +def _get_input_messages(span): + return json.loads(span._attrs[GenAIAttributes.GEN_AI_INPUT_MESSAGES]) + + +def _get_output_messages(span): + return json.loads(span._attrs[GenAIAttributes.GEN_AI_OUTPUT_MESSAGES]) + + +# --------------------------------------------------------------------------- +# Multi-turn input messages (system + user + assistant with tool_calls + tool) +# --------------------------------------------------------------------------- + +class TestSetInputMessages: + def test_multiturn_with_tool_calls(self, mock_span): + messages = [ + {"role": "system", "content": "You are a weather assistant."}, + {"role": "user", "content": "What is the weather in NYC?"}, + { + "role": "assistant", + "content": None, + "tool_calls": [ + { + "id": "call_abc123", + "type": "function", + "function": { + "name": "get_weather", + "arguments": '{"location": "NYC"}', + }, + } + ], + }, + { + "role": "tool", + "tool_call_id": "call_abc123", + "content": '{"temp": 72, "unit": "F"}', + }, + ] + + _set_input_messages(mock_span, messages) + result = _get_input_messages(mock_span) + + assert len(result) == 4 + + # system + assert result[0]["role"] == "system" + assert result[0]["parts"][0]["type"] == "text" + assert result[0]["parts"][0]["content"] == "You are a weather assistant." + + # user + assert result[1]["role"] == "user" + assert result[1]["parts"][0]["content"] == "What is the weather in NYC?" + + # assistant with tool call (content=None → empty parts + tool_call_request) + assert result[2]["role"] == "assistant" + assert any(p["type"] == "tool_call" for p in result[2]["parts"]) + tool_part = next( + p for p in result[2]["parts"] if p["type"] == "tool_call" + ) + assert tool_part["name"] == "get_weather" + assert tool_part["id"] == "call_abc123" + assert tool_part["arguments"] == '{"location": "NYC"}' + + # tool response + assert result[3]["role"] == "tool" + assert result[3]["parts"][0]["type"] == "tool_call_response" + assert result[3]["parts"][0]["id"] == "call_abc123" + assert result[3]["parts"][0]["response"] == '{"temp": 72, "unit": "F"}' + + def test_user_with_none_content(self, mock_span): + """User message with None content should not crash or produce null parts.""" + _set_input_messages(mock_span, [{"role": "user", "content": None}]) + result = _get_input_messages(mock_span) + + assert len(result) == 1 + assert result[0]["parts"] is not None + + def test_system_with_none_content(self, mock_span): + """System message with None content should not crash or produce null parts.""" + _set_input_messages(mock_span, [{"role": "system", "content": None}]) + result = _get_input_messages(mock_span) + + assert len(result) == 1 + assert result[0]["parts"] is not None + + def test_developer_role(self, mock_span): + _set_input_messages(mock_span, [{"role": "developer", "content": "Be concise."}]) + result = _get_input_messages(mock_span) + + assert result[0]["role"] == "developer" + assert result[0]["parts"][0]["content"] == "Be concise." + + def test_none_messages(self, mock_span): + """None messages input should be a no-op.""" + _set_input_messages(mock_span, None) + assert GenAIAttributes.GEN_AI_INPUT_MESSAGES not in mock_span._attrs + + def test_assistant_with_text_and_tool_calls(self, mock_span): + """Assistant message with both text content and tool calls.""" + _set_input_messages(mock_span, [ + { + "role": "assistant", + "content": "Let me check that for you.", + "tool_calls": [ + { + "id": "call_xyz", + "type": "function", + "function": {"name": "lookup", "arguments": "{}"}, + } + ], + } + ]) + result = _get_input_messages(mock_span) + parts = result[0]["parts"] + + text_parts = [p for p in parts if p.get("type") == "text"] + tool_parts = [p for p in parts if p.get("type") == "tool_call"] + assert len(text_parts) == 1 + assert text_parts[0]["content"] == "Let me check that for you." + assert len(tool_parts) == 1 + assert tool_parts[0]["name"] == "lookup" + + +# --------------------------------------------------------------------------- +# Output messages +# --------------------------------------------------------------------------- + +class TestSetOutputMessages: + def test_text_response(self, mock_span): + choices = [ + { + "index": 0, + "message": {"role": "assistant", "content": "Hello!"}, + "finish_reason": "stop", + } + ] + _set_output_messages(mock_span, choices) + result = _get_output_messages(mock_span) + + assert len(result) == 1 + assert result[0]["role"] == "assistant" + assert result[0]["finish_reason"] == "stop" + assert result[0]["parts"][0]["content"] == "Hello!" + assert result[0]["parts"][0]["type"] == "text" + + def test_tool_call_response(self, mock_span): + choices = [ + { + "index": 0, + "message": { + "role": "assistant", + "content": None, + "tool_calls": [ + { + "id": "call_abc", + "type": "function", + "function": { + "name": "get_weather", + "arguments": '{"location": "NYC"}', + }, + } + ], + }, + "finish_reason": "tool_calls", + } + ] + _set_output_messages(mock_span, choices) + result = _get_output_messages(mock_span) + + assert len(result) == 1 + msg = result[0] + assert msg["finish_reason"] == "tool_call" + tool_parts = [p for p in msg["parts"] if p["type"] == "tool_call"] + assert len(tool_parts) == 1 + assert tool_parts[0]["name"] == "get_weather" + assert tool_parts[0]["id"] == "call_abc" + + def test_none_message_in_choice(self, mock_span): + """Choice with message=None should not crash.""" + choices = [ + {"index": 0, "message": None, "finish_reason": "content_filter"}, + ] + _set_output_messages(mock_span, choices) + # Should not crash; attribute may or may not be set + + def test_none_choices(self, mock_span): + """None choices should be a no-op.""" + _set_output_messages(mock_span, None) + assert GenAIAttributes.GEN_AI_OUTPUT_MESSAGES not in mock_span._attrs + + def test_multiple_choices(self, mock_span): + choices = [ + { + "index": 0, + "message": {"role": "assistant", "content": "Answer A"}, + "finish_reason": "stop", + }, + { + "index": 1, + "message": {"role": "assistant", "content": "Answer B"}, + "finish_reason": "stop", + }, + ] + _set_output_messages(mock_span, choices) + result = _get_output_messages(mock_span) + + assert len(result) == 2 + assert result[0]["parts"][0]["content"] == "Answer A" + assert result[1]["parts"][0]["content"] == "Answer B" diff --git a/packages/opentelemetry-instrumentation-openai/uv.lock b/packages/opentelemetry-instrumentation-openai/uv.lock index 32b6d15615..09fe0ff805 100644 --- a/packages/opentelemetry-instrumentation-openai/uv.lock +++ b/packages/opentelemetry-instrumentation-openai/uv.lock @@ -573,8 +573,8 @@ requires-dist = [ { name = "openai", marker = "extra == 'instruments'" }, { name = "opentelemetry-api", specifier = ">=1.38.0,<2" }, { name = "opentelemetry-instrumentation", specifier = ">=0.59b0" }, - { name = "opentelemetry-semantic-conventions", specifier = ">=0.59b0" }, - { name = "opentelemetry-semantic-conventions-ai", specifier = ">=0.4.13,<0.5.0" }, + { name = "opentelemetry-semantic-conventions", specifier = ">=0.60b1" }, + { name = "opentelemetry-semantic-conventions-ai", specifier = ">=0.5.0,<0.6.0" }, ] provides-extras = ["instruments"] @@ -623,11 +623,15 @@ wheels = [ [[package]] name = "opentelemetry-semantic-conventions-ai" -version = "0.4.13" +version = "0.5.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ba/e6/40b59eda51ac47009fb47afcdf37c6938594a0bd7f3b9fadcbc6058248e3/opentelemetry_semantic_conventions_ai-0.4.13.tar.gz", hash = "sha256:94efa9fb4ffac18c45f54a3a338ffeb7eedb7e1bb4d147786e77202e159f0036", size = 5368 } +dependencies = [ + { name = "opentelemetry-sdk" }, + { name = "opentelemetry-semantic-conventions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c6/0b/0ff2326417a9eed74ff6717629075246098dcbda067a62fd73095139babb/opentelemetry_semantic_conventions_ai-0.5.0.tar.gz", hash = "sha256:64c21c5ae0c971ee2ecab986d66e93bb50e616b52e18a1284e118a323a9e6869", size = 25202, upload-time = "2026-03-20T08:47:05.751Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/35/b5/cf25da2218910f0d6cdf7f876a06bed118c4969eacaf60a887cbaef44f44/opentelemetry_semantic_conventions_ai-0.4.13-py3-none-any.whl", hash = "sha256:883a30a6bb5deaec0d646912b5f9f6dcbb9f6f72557b73d0f2560bf25d13e2d5", size = 6080 }, + { url = "https://files.pythonhosted.org/packages/a7/18/35fec29ed6e49bcbbe629b790cc0deb5bb58da9caceee29b39b54d3d7f47/opentelemetry_semantic_conventions_ai-0.5.0-py3-none-any.whl", hash = "sha256:8727f474f590138f5e4937945378878a5b2f4ea82bc24ffd93265ca9fbdc48a4", size = 9983, upload-time = "2026-03-20T08:47:06.843Z" }, ] [[package]] From 1e290881035c0633a830a78f8354b6d4cc8a4859 Mon Sep 17 00:00:00 2001 From: Max Deygin Date: Tue, 24 Mar 2026 15:01:50 +0200 Subject: [PATCH 06/22] CR fixes, more tests --- .../instrumentation/openai/shared/__init__.py | 9 +- .../openai/shared/completion_wrappers.py | 10 +- .../openai/shared/event_models.py | 2 +- .../openai/v1/realtime_wrappers.py | 13 ++- .../tests/conftest.py | 12 +- .../test_chat_with_messages_attributes.yaml | 105 +++++++++++++++++ ...t_completion_with_messages_attributes.yaml | 110 ++++++++++++++++++ .../tests/traces/conftest.py | 9 +- .../tests/traces/test_azure.py | 30 ++--- .../tests/traces/test_chat.py | 6 + .../tests/traces/test_messages_attributes.py | 72 +++++++++++- .../tests/traces/test_realtime.py | 4 +- 12 files changed, 341 insertions(+), 41 deletions(-) create mode 100644 packages/opentelemetry-instrumentation-openai/tests/traces/cassettes/test_chat/test_chat_with_messages_attributes.yaml create mode 100644 packages/opentelemetry-instrumentation-openai/tests/traces/cassettes/test_completions/test_completion_with_messages_attributes.yaml diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py index f40554484f..f0b511da75 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py @@ -133,12 +133,9 @@ def _set_request_attributes(span, kwargs, instance=None): span, GenAIAttributes.GEN_AI_REQUEST_PRESENCE_PENALTY, kwargs.get("presence_penalty") ) _set_span_attribute(span, SpanAttributes.GEN_AI_USER, kwargs.get("user")) - _set_span_attribute(span, SpanAttributes.GEN_AI_HEADERS, str(kwargs.get("headers"))) - # The new OpenAI SDK removed the `headers` and create new field called `extra_headers` - if kwargs.get("extra_headers") is not None: - _set_span_attribute( - span, SpanAttributes.GEN_AI_HEADERS, str(kwargs.get("extra_headers")) - ) + headers = kwargs.get("extra_headers") or kwargs.get("headers") + if headers is not None: + _set_span_attribute(span, SpanAttributes.GEN_AI_HEADERS, str(headers)) _set_span_attribute( span, SpanAttributes.GEN_AI_IS_STREAMING, kwargs.get("stream") or False ) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py index f507c9da45..79a1a0f30c 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py @@ -167,15 +167,19 @@ def _set_prompts(span, prompt): _legacy_set_prompts(span, prompt) def _set_input_messages(span, prompt): - if not span.is_recording() or not prompt: + if not span.is_recording() or prompt is None: return - prompt = prompt[0] if isinstance(prompt, list) else prompt + prompts = prompt if isinstance(prompt, list) else [prompt] + messages = [ + {"role": "user", "parts": [{"content": p, "type": "text"}]} + for p in prompts + ] _set_span_attribute( span, GenAIAttributes.GEN_AI_INPUT_MESSAGES, - json.dumps([{"role": "user", "parts": [{"content": prompt, "type": "text"}]}]), + json.dumps(messages), ) def _legacy_set_prompts(span, prompt): diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_models.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_models.py index abfb88b1e4..6f15d34f2f 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_models.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_models.py @@ -4,7 +4,7 @@ class _FunctionToolCall(TypedDict): name: str - arguments: Optional[dict[str, Any]] + arguments: Optional[str] class ToolCall(TypedDict): diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py index b5030fe367..83addf178b 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py @@ -23,6 +23,9 @@ from opentelemetry.semconv._incubating.attributes import ( gen_ai_attributes as GenAIAttributes, ) +from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import ( + GenAiOperationNameValues, +) from opentelemetry.semconv_ai import SpanAttributes from opentelemetry.trace import SpanKind, Status, StatusCode, Tracer @@ -119,11 +122,11 @@ def handle_session_updated(self, event): self._state.session_config.update(session_dict) if self._state.session_span and self._state.session_span.is_recording(): - if hasattr(session, "modalities"): + if hasattr(session, "modalities") and session.modalities: _set_span_attribute( self._state.session_span, - f"{GenAIAttributes.GEN_AI_OPERATION_NAME}.modalities", - json.dumps(session.modalities) if session.modalities else None, + GenAIAttributes.GEN_AI_OUTPUT_TYPE, + json.dumps(session.modalities), ) if hasattr(session, "temperature") and session.temperature is not None: _set_span_attribute( @@ -313,7 +316,7 @@ def start_response_span(self, end_existing: bool = False, set_input: bool = Fals _set_span_attribute( self._state.response_span, GenAIAttributes.GEN_AI_OPERATION_NAME, - "realtime", + GenAiOperationNameValues.CHAT.value, ) # Set input if available and requested @@ -679,7 +682,7 @@ async def __aenter__(self): _set_span_attribute( self._state.session_span, GenAIAttributes.GEN_AI_OPERATION_NAME, - "realtime", + GenAiOperationNameValues.CHAT.value, ) # Enter the underlying connection manager diff --git a/packages/opentelemetry-instrumentation-openai/tests/conftest.py b/packages/opentelemetry-instrumentation-openai/tests/conftest.py index 34e34ed4fe..6a976f1e18 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/conftest.py +++ b/packages/opentelemetry-instrumentation-openai/tests/conftest.py @@ -194,11 +194,12 @@ def instrument_with_messages_attributes( instrument_legacy, reader, tracer_provider, logger_provider, meter_provider ): instrumentor = instrument_legacy + previous = Config.use_messages_attributes Config.use_messages_attributes = True yield instrumentor - Config.use_messages_attributes = False + Config.use_messages_attributes = previous @pytest.fixture(autouse=True) @@ -208,4 +209,11 @@ def clear_exporter(span_exporter): @pytest.fixture(scope="module") def vcr_config(): - return {"filter_headers": ["authorization", "api-key"]} + return {"filter_headers": [ + "authorization", + "api-key", + "openai-organization", + "openai-project", + "set-cookie", + "x-request-id", + ]} diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/cassettes/test_chat/test_chat_with_messages_attributes.yaml b/packages/opentelemetry-instrumentation-openai/tests/traces/cassettes/test_chat/test_chat_with_messages_attributes.yaml new file mode 100644 index 0000000000..49ddc68720 --- /dev/null +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/cassettes/test_chat/test_chat_with_messages_attributes.yaml @@ -0,0 +1,105 @@ +interactions: +- request: + body: '{"messages":[{"role":"user","content":"Tell me a joke about opentelemetry"}],"model":"gpt-5-nano"}' + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + 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+ body: + string: !!binary | + H4sIAAAAAAAA/0VQzWrCQBC++xTDnhtqohj1rKVQD6XYH6glxM00jt3MhuxoLeK79Fn6ZN1NRC8D + O9/v7LEHoKhQU1C6qk00m7yNJ/pp6eR1vuUZPS4Wy0H58DJ7liJWN4Ft11vUEhSCB8m09ToUstzB + usFcMDjGaRrHo+EoTVugsgWaICvyPbGmadJPBlE/jZI42idn8caSRudZ7/4JcGwndFFBe2trZEGD + FUrzE+U1rXjFy4Z8B7iHCOaHmhos/n7vbAPfOQtU1gnUja3IEZfg+5Ju01pj4gIP3rl/2RhbevY6 + lOCdMZf9JzG5TebPc/5W38Ugl7JRLX7y86M9YefyEj3cVVchuJZM7BdysBx3fur6bVcsHp1BsZKb + 6z4Z9kLCqfcPB8/+oq4BAAA= + headers: + CF-RAY: + - 9ce564bce8ae054f-LHR + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Sun, 15 Feb 2026 14:11:17 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - nosniff + access-control-allow-origin: + - '*' + access-control-expose-headers: + - X-Request-ID + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-model: + - davinci:2023-07-21-v2 + - user-xzaeeoqlanzncr8pomspsknu + openai-processing-ms: + - '352' + - proj_aT4OgTR5NJ9iNjg4xWc82hiE + openai-version: + - '2020-10-01' + - __cf_bm=FhifJ.2UcjW4EKXLAx9U2EBPod_TWb.kyoXw6T3JCwo-1771164676.621527-1.0.1.1-3.hJU8RKxh2ujq.hmLr_vm1m8yVo2zVpfU7ctCQLi5n_eFWITA3KaQH176oPAjYPz3Ad7IIDd7rr9aIKdvLiuGN.j7TqjH7ZE4VaOAdUiB0CLQk1ST.pLf3CqUm9Z2Wk; + HttpOnly; Secure; Path=/; Domain=api.openai.com; Expires=Sun, 15 Feb 2026 + 14:41:17 GMT + strict-transport-security: + - max-age=31536000; includeSubDomains; preload + via: + - envoy-router-7fcbbd5db9-82x6d + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-limit-tokens: + - '250000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-remaining-tokens: + - '249991' + x-ratelimit-reset-requests: + - 20ms + x-ratelimit-reset-tokens: + - 2ms + - req_fcbf1d5389cb4a908ff622465164f997 + status: + code: 200 + message: OK +version: 1 diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/conftest.py b/packages/opentelemetry-instrumentation-openai/tests/traces/conftest.py index 6a37b10bd7..28dd321a66 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/conftest.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/conftest.py @@ -4,6 +4,13 @@ @pytest.fixture(scope="module") def vcr_config(): return { - "filter_headers": ["authorization", "api-key"], + "filter_headers": [ + "authorization", + "api-key", + "openai-organization", + "openai-project", + "set-cookie", + "x-request-id", + ], "ignore_hosts": ["openaipublic.blob.core.windows.net"], } diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py index 0aa91bae5f..e1e4e7a1e3 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py @@ -623,11 +623,11 @@ async def test_chat_async_streaming( assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True # Only assert token usage if API provides it (Existing cassetes of Azure OpenAI may not include usage in streaming) - completion_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) - prompt_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) - total_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) - if completion_tokens and prompt_tokens and total_tokens: - assert completion_tokens + prompt_tokens == total_tokens + input_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) + output_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) + total_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) + if input_tokens and output_tokens and total_tokens: + assert input_tokens + output_tokens == total_tokens events = open_ai_span.events assert len(events) == chunk_count @@ -671,11 +671,11 @@ async def test_chat_async_streaming_with_events_with_content( assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True # Only assert token usage if API provides it (Existing cassetes of Azure OpenAI may not include usage in streaming) - completion_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) - prompt_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) - total_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) - if completion_tokens and prompt_tokens and total_tokens: - assert completion_tokens + prompt_tokens == total_tokens + input_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) + output_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) + total_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) + if input_tokens and output_tokens and total_tokens: + assert input_tokens + output_tokens == total_tokens events = open_ai_span.events assert len(events) == chunk_count @@ -737,11 +737,11 @@ async def test_chat_async_streaming_with_events_with_no_content( assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is True # Only assert token usage if API provides it (Existing cassetes of Azure OpenAI may not include usage in streaming) - completion_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) - prompt_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) - total_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) - if completion_tokens and prompt_tokens and total_tokens: - assert completion_tokens + prompt_tokens == total_tokens + input_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS) + output_tokens = open_ai_span.attributes.get(GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS) + total_tokens = open_ai_span.attributes.get(SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS) + if input_tokens and output_tokens and total_tokens: + assert input_tokens + output_tokens == total_tokens events = open_ai_span.events assert len(events) == chunk_count diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py index e4cface011..b19412b20e 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py @@ -108,6 +108,12 @@ def test_chat_with_messages_attributes( assert output_messages[0]["parts"][0]["type"] == "text" assert "content" in output_messages[0]["parts"][0] + # Legacy prompt/completion attributes must NOT be present alongside new format + assert not any( + k.startswith("gen_ai.prompt.") or k.startswith("gen_ai.completion.") + for k in open_ai_span.attributes.keys() + ), "Legacy gen_ai.prompt.*/gen_ai.completion.* should not be emitted with use_messages_attributes" + @pytest.mark.vcr def test_chat_with_events_with_content( diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py index 35303f5e33..849f1f7f07 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py @@ -11,11 +11,19 @@ from opentelemetry.semconv._incubating.attributes import ( gen_ai_attributes as GenAIAttributes, ) +from opentelemetry.semconv_ai import SpanAttributes from opentelemetry.instrumentation.openai.shared.chat_wrappers import ( _set_input_messages, _set_output_messages, ) +from opentelemetry.instrumentation.openai.shared.completion_wrappers import ( + _set_input_messages as _set_completion_input_messages, +) +from opentelemetry.instrumentation.openai.shared import ( + _set_request_attributes, + _set_span_attribute, +) @pytest.fixture @@ -101,20 +109,20 @@ def test_multiturn_with_tool_calls(self, mock_span): assert result[3]["parts"][0]["response"] == '{"temp": 72, "unit": "F"}' def test_user_with_none_content(self, mock_span): - """User message with None content should not crash or produce null parts.""" + """User message with None content should produce empty parts list.""" _set_input_messages(mock_span, [{"role": "user", "content": None}]) result = _get_input_messages(mock_span) assert len(result) == 1 - assert result[0]["parts"] is not None + assert result[0]["parts"] == [] def test_system_with_none_content(self, mock_span): - """System message with None content should not crash or produce null parts.""" + """System message with None content should produce empty parts list.""" _set_input_messages(mock_span, [{"role": "system", "content": None}]) result = _get_input_messages(mock_span) assert len(result) == 1 - assert result[0]["parts"] is not None + assert result[0]["parts"] == [] def test_developer_role(self, mock_span): _set_input_messages(mock_span, [{"role": "developer", "content": "Be concise."}]) @@ -209,12 +217,13 @@ def test_tool_call_response(self, mock_span): assert tool_parts[0]["id"] == "call_abc" def test_none_message_in_choice(self, mock_span): - """Choice with message=None should not crash.""" + """Choice with message=None should produce empty output array.""" choices = [ {"index": 0, "message": None, "finish_reason": "content_filter"}, ] _set_output_messages(mock_span, choices) - # Should not crash; attribute may or may not be set + result = _get_output_messages(mock_span) + assert result == [] def test_none_choices(self, mock_span): """None choices should be a no-op.""" @@ -240,3 +249,54 @@ def test_multiple_choices(self, mock_span): assert len(result) == 2 assert result[0]["parts"][0]["content"] == "Answer A" assert result[1]["parts"][0]["content"] == "Answer B" + + +# --------------------------------------------------------------------------- +# Completion wrappers: _set_input_messages for text completions +# --------------------------------------------------------------------------- + +class TestCompletionInputMessages: + def test_list_prompt_preserves_all_items(self, mock_span): + """Batched prompt list should preserve all items, not collapse to first.""" + prompts = ["First prompt", "Second prompt", "Third prompt"] + _set_completion_input_messages(mock_span, prompts) + result = _get_input_messages(mock_span) + + assert len(result) == 3 + assert result[0]["parts"][0]["content"] == "First prompt" + assert result[1]["parts"][0]["content"] == "Second prompt" + assert result[2]["parts"][0]["content"] == "Third prompt" + + def test_single_string_prompt(self, mock_span): + """Single string prompt should work as a single message.""" + _set_completion_input_messages(mock_span, "Hello world") + result = _get_input_messages(mock_span) + + assert len(result) == 1 + assert result[0]["role"] == "user" + assert result[0]["parts"][0]["content"] == "Hello world" + + def test_empty_string_prompt_is_preserved(self, mock_span): + """Empty string prompt should still be recorded, not dropped.""" + _set_completion_input_messages(mock_span, "") + result = _get_input_messages(mock_span) + + assert len(result) == 1 + assert result[0]["parts"][0]["content"] == "" + + +# --------------------------------------------------------------------------- +# _set_request_attributes: headers / user serialization +# --------------------------------------------------------------------------- + +class TestRequestAttributesSerialization: + def test_none_headers_not_recorded_as_string(self, mock_span): + """kwargs with headers=None should not record literal 'None'.""" + _set_request_attributes(mock_span, {"model": "gpt-4"}) + val = mock_span._attrs.get(SpanAttributes.GEN_AI_HEADERS) + assert val != "None", "Should not record literal string 'None'" + + def test_none_user_not_recorded(self, mock_span): + """kwargs with user=None should not record attribute.""" + _set_request_attributes(mock_span, {"model": "gpt-4"}) + assert SpanAttributes.GEN_AI_USER not in mock_span._attrs diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py index a2575914e7..4b095ab981 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py @@ -473,12 +473,12 @@ async def test_full_text_conversation_flow(self, tracer_provider_and_exporter): session_span = next(s for s in spans if s.name == "openai.session") assert session_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" assert session_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "gpt-4o-realtime-preview" - assert session_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "realtime" + assert session_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert session_span.status.status_code == StatusCode.OK response_span = next(s for s in spans if s.name == "openai.realtime") assert response_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" - assert response_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "realtime" + assert response_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" # Verify finish_reason is "stop" for text response without tool calls attrs = dict(response_span.attributes) From 45e9e45f6aa3de53d3f2c1e7631b979772fb7b0e Mon Sep 17 00:00:00 2001 From: Max Deygin Date: Tue, 24 Mar 2026 15:12:05 +0200 Subject: [PATCH 07/22] lint --- .../tests/traces/test_messages_attributes.py | 1 - 1 file changed, 1 deletion(-) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py index 849f1f7f07..1d5bdd1ae8 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py @@ -22,7 +22,6 @@ ) from opentelemetry.instrumentation.openai.shared import ( _set_request_attributes, - _set_span_attribute, ) From dc04896073964073de3f5d6ef0720389b44e2dc8 Mon Sep 17 00:00:00 2001 From: Max Deygin Date: Wed, 25 Mar 2026 10:00:42 +0200 Subject: [PATCH 08/22] Fixed event_emmiter optional arguments --- .../openai/shared/event_models.py | 4 +- .../tests/traces/test_event_emitter.py | 211 ++++++++++++++++++ 2 files changed, 214 insertions(+), 1 deletion(-) create mode 100644 packages/opentelemetry-instrumentation-openai/tests/traces/test_event_emitter.py diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_models.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_models.py index 6f15d34f2f..d9e76a1eed 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_models.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_models.py @@ -1,10 +1,12 @@ from dataclasses import dataclass from typing import Any, List, Literal, Optional, TypedDict +from typing_extensions import NotRequired + class _FunctionToolCall(TypedDict): name: str - arguments: Optional[str] + arguments: NotRequired[Optional[str]] class ToolCall(TypedDict): diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_event_emitter.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_event_emitter.py new file mode 100644 index 0000000000..9c8ecc27dc --- /dev/null +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_event_emitter.py @@ -0,0 +1,211 @@ +"""Unit tests for event_emitter behavior with optional tool call arguments. + +These tests verify that emitting events with tool calls that omit the +`arguments` key does not raise errors, and that the _FunctionToolCall +TypedDict correctly allows arguments to be absent. +""" + +from unittest.mock import MagicMock, patch + +import pytest + +from opentelemetry.instrumentation.openai.shared.event_models import ( + ChoiceEvent, + MessageEvent, + ToolCall, + _FunctionToolCall, +) +from opentelemetry.instrumentation.openai.shared.event_emitter import ( + emit_event, +) + + +@pytest.fixture +def mock_event_logger(): + logger = MagicMock() + with patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.Config" + ) as mock_config: + mock_config.event_logger = logger + yield logger + + +def _make_tool_call_without_arguments() -> ToolCall: + """Build a ToolCall whose _FunctionToolCall omits the arguments key.""" + function: _FunctionToolCall = {"name": "get_weather"} # no arguments key + return {"id": "call_123", "type": "function", "function": function} + + +def _make_tool_call_with_none_arguments() -> ToolCall: + function: _FunctionToolCall = {"name": "get_weather", "arguments": None} + return {"id": "call_456", "type": "function", "function": function} + + +def _make_tool_call_with_arguments() -> ToolCall: + function: _FunctionToolCall = { + "name": "get_weather", + "arguments": '{"location": "NYC"}', + } + return {"id": "call_789", "type": "function", "function": function} + + +class TestFunctionToolCallTypedDict: + def test_can_instantiate_without_arguments(self): + """_FunctionToolCall should be constructable without the arguments key.""" + func: _FunctionToolCall = {"name": "my_tool"} + assert func["name"] == "my_tool" + assert "arguments" not in func + + def test_can_instantiate_with_none_arguments(self): + func: _FunctionToolCall = {"name": "my_tool", "arguments": None} + assert func["arguments"] is None + + def test_can_instantiate_with_string_arguments(self): + func: _FunctionToolCall = {"name": "my_tool", "arguments": "{}"} + assert func["arguments"] == "{}" + + +class TestEmitMessageEventWithMissingArguments: + def test_emit_with_send_prompts_arguments_absent(self, mock_event_logger): + """Emitting a message event with arguments absent should not raise.""" + event = MessageEvent( + role="assistant", + content=None, + tool_calls=[_make_tool_call_without_arguments()], + ) + with ( + patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.should_emit_events", + return_value=True, + ), + patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.should_send_prompts", + return_value=True, + ), + ): + emit_event(event) + + mock_event_logger.emit.assert_called_once() + body = mock_event_logger.emit.call_args[0][0].body + assert body["tool_calls"][0]["function"]["name"] == "get_weather" + assert "arguments" not in body["tool_calls"][0]["function"] + + def test_emit_with_no_send_prompts_arguments_absent(self, mock_event_logger): + """When should_send_prompts=False, pop on absent arguments key should not raise.""" + event = MessageEvent( + role="assistant", + content=None, + tool_calls=[_make_tool_call_without_arguments()], + ) + with ( + patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.should_emit_events", + return_value=True, + ), + patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.should_send_prompts", + return_value=False, + ), + ): + emit_event(event) + + mock_event_logger.emit.assert_called_once() + body = mock_event_logger.emit.call_args[0][0].body + assert "arguments" not in body["tool_calls"][0]["function"] + + def test_emit_with_no_send_prompts_arguments_none(self, mock_event_logger): + """When should_send_prompts=False, arguments=None is popped without error.""" + event = MessageEvent( + role="assistant", + content=None, + tool_calls=[_make_tool_call_with_none_arguments()], + ) + with ( + patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.should_emit_events", + return_value=True, + ), + patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.should_send_prompts", + return_value=False, + ), + ): + emit_event(event) + + mock_event_logger.emit.assert_called_once() + body = mock_event_logger.emit.call_args[0][0].body + assert "arguments" not in body["tool_calls"][0]["function"] + + def test_emit_with_no_send_prompts_arguments_present(self, mock_event_logger): + """When should_send_prompts=False, present arguments are stripped.""" + event = MessageEvent( + role="assistant", + content=None, + tool_calls=[_make_tool_call_with_arguments()], + ) + with ( + patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.should_emit_events", + return_value=True, + ), + patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.should_send_prompts", + return_value=False, + ), + ): + emit_event(event) + + mock_event_logger.emit.assert_called_once() + body = mock_event_logger.emit.call_args[0][0].body + assert "arguments" not in body["tool_calls"][0]["function"] + + +class TestEmitChoiceEventWithMissingArguments: + def test_emit_with_send_prompts_arguments_absent(self, mock_event_logger): + """Emitting a choice event with arguments absent should not raise.""" + event = ChoiceEvent( + index=0, + message={"content": None, "role": "assistant"}, + finish_reason="tool_calls", + tool_calls=[_make_tool_call_without_arguments()], + ) + with ( + patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.should_emit_events", + return_value=True, + ), + patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.should_send_prompts", + return_value=True, + ), + ): + emit_event(event) + + mock_event_logger.emit.assert_called_once() + body = mock_event_logger.emit.call_args[0][0].body + assert body["tool_calls"][0]["function"]["name"] == "get_weather" + assert "arguments" not in body["tool_calls"][0]["function"] + + def test_emit_with_no_send_prompts_arguments_absent(self, mock_event_logger): + """When should_send_prompts=False, pop on absent arguments should not raise.""" + event = ChoiceEvent( + index=0, + message={"content": None, "role": "assistant"}, + finish_reason="tool_calls", + tool_calls=[_make_tool_call_without_arguments()], + ) + with ( + patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.should_emit_events", + return_value=True, + ), + patch( + "opentelemetry.instrumentation.openai.shared.event_emitter.should_send_prompts", + return_value=False, + ), + ): + emit_event(event) + + mock_event_logger.emit.assert_called_once() + body = mock_event_logger.emit.call_args[0][0].body + assert "arguments" not in body["tool_calls"][0]["function"] From cdd7fbd25acca8d304805cc2f7ed1bbcac47dd3b Mon Sep 17 00:00:00 2001 From: Max Deygin Date: Thu, 26 Mar 2026 16:25:26 +0200 Subject: [PATCH 09/22] fix review comments --- .../instrumentation/openai/shared/__init__.py | 18 +- .../openai/shared/chat_wrappers.py | 48 +- .../openai/shared/event_emitter.py | 2 +- .../openai/v1/assistant_wrappers.py | 4 +- .../openai/v1/realtime_wrappers.py | 4 +- .../pyproject.toml | 2 +- .../tests/metrics/test_openai_metrics.py | 2 +- .../tests/traces/test_assistant.py | 32 +- .../tests/traces/test_azure.py | 2 +- .../tests/traces/test_chat.py | 6 +- .../tests/traces/test_chat_parse.py | 2 +- .../tests/traces/test_completions.py | 2 +- .../traces/test_embedding_metrics_handler.py | 2 +- .../tests/traces/test_embeddings.py | 2 +- .../tests/traces/test_functions.py | 2 +- .../tests/traces/test_messages_attributes.py | 226 ++- .../tests/traces/test_prompt_caching.py | 2 +- .../tests/traces/test_realtime.py | 4 +- .../tests/traces/test_responses.py | 22 +- .../traces/test_span_context_propagation.py | 2 +- .../tests/traces/test_vision.py | 2 +- .../uv.lock | 1436 +++++++++-------- 22 files changed, 1049 insertions(+), 775 deletions(-) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py index f0b511da75..e9248c5b7f 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py @@ -110,12 +110,12 @@ def _set_request_attributes(span, kwargs, instance=None): base_url = _get_openai_base_url(instance) if instance else "" vendor = _get_vendor_from_url(base_url) - _set_span_attribute(span, GenAIAttributes.GEN_AI_SYSTEM, vendor) + _set_span_attribute(span, GenAIAttributes.GEN_AI_PROVIDER_NAME, vendor) model = kwargs.get("model") - if vendor == "AWS" and model and "." in model: + if vendor == "aws.bedrock" and model and "." in model: model = _cross_region_check(model) - elif vendor == "OpenRouter": + elif vendor == "openrouter": model = _extract_model_name_from_provider_format(model) _set_span_attribute(span, GenAIAttributes.GEN_AI_REQUEST_MODEL, model) @@ -292,13 +292,13 @@ def _get_vendor_from_url(base_url): return "openai" if "openai.azure.com" in base_url: - return "Azure" + return "az.ai.openai" elif "amazonaws.com" in base_url or "bedrock" in base_url: - return "AWS" + return "aws.bedrock" elif "googleapis.com" in base_url or "vertex" in base_url: - return "Google" + return "gcp.vertex_ai" elif "openrouter.ai" in base_url: - return "OpenRouter" + return "openrouter" return "openai" @@ -375,9 +375,9 @@ def metric_shared_attributes( return { **attributes, - GenAIAttributes.GEN_AI_SYSTEM: vendor, + GenAIAttributes.GEN_AI_PROVIDER_NAME: vendor, GenAIAttributes.GEN_AI_RESPONSE_MODEL: response_model, - "gen_ai.operation.name": operation, + GenAIAttributes.GEN_AI_OPERATION_NAME: operation, "server.address": server_address, "stream": is_streaming, } 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 6a458e0d43..bf841e985d 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 @@ -447,6 +447,29 @@ async def _set_prompts(span, messages): else: await _legacy_set_prompts(span, messages) +def _map_content_block(block): + """Map an OpenAI content block to an OTel-compliant part.""" + if not isinstance(block, dict): + return block + block_type = block.get("type") + if block_type == "text": + return {"type": "text", "content": block.get("text", "")} + elif block_type == "image_url": + url = "" + image_url = block.get("image_url") + if isinstance(image_url, dict): + url = image_url.get("url", "") + return {"type": "uri", "modality": "image", "uri": url} + return block + +def _map_content_parts(content): + """Convert content to OTel parts list. Handles str, list, and None.""" + if isinstance(content, str): + return [{"content": content, "type": "text"}] + if isinstance(content, list): + return [_map_content_block(block) for block in content] + return content or [] + def _set_input_messages(span, messages): if not span.is_recording() or messages is None: return @@ -463,28 +486,28 @@ def _set_input_messages(span, messages): }) elif role == "user": content = msg.get("content") - parts = [{"content": content, "type": "text"}] if isinstance(content, str) else (content or []) + parts = _map_content_parts(content) attr_messages.append({ "role": role, "parts": parts, }) elif role in ["system", "developer"]: content = msg.get("content") - parts = [{"content": content, "type": "text"}] if isinstance(content, str) else (content or []) + parts = _map_content_parts(content) attr_messages.append({ "role": role, "parts": parts, }) elif role == "assistant": content = msg.get("content") - parts = [{"content": content, "type": "text"}] if isinstance(content, str) else (content or []) + parts = _map_content_parts(content) tool_calls = _parse_tool_calls(msg.get("tool_calls")) or [] for tool_call in tool_calls: parts.append({ "type": "tool_call", "name": tool_call["function"]["name"], "id": tool_call["id"], - "arguments": tool_call["function"].get("arguments"), + "arguments": _parse_arguments(tool_call["function"].get("arguments")), }) attr_messages.append({ "role": "assistant", @@ -554,9 +577,20 @@ def _set_completions(span, choices): "tool_calls": "tool_call", } +def _parse_arguments(raw_args): + """Best-effort parse of JSON argument string to dict. Falls back to raw string.""" + if raw_args is None: + return None + if isinstance(raw_args, dict): + return raw_args + try: + return json.loads(raw_args) + except (json.JSONDecodeError, TypeError): + return raw_args + def _map_finish_reason(reason): if not reason: - return "stop" + return None return OPENAI_FINISH_REASON_MAP.get(reason, reason) def _set_output_messages(span, choices): @@ -569,14 +603,14 @@ def _set_output_messages(span, choices): if not message: continue content = message.get("content") - parts = [{"content": content, "type": "text"}] if isinstance(content, str) else (content or []) + parts = _map_content_parts(content) tool_calls = _parse_tool_calls(message.get("tool_calls")) or [] for tool_call in tool_calls: parts.append({ "type": "tool_call", "name": tool_call["function"]["name"], "id": tool_call["id"], - "arguments": tool_call["function"].get("arguments"), + "arguments": _parse_arguments(tool_call["function"].get("arguments")), }) messages.append({ "role": "assistant", diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_emitter.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_emitter.py index 67ffcb0b5e..50212f29b0 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_emitter.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/event_emitter.py @@ -29,7 +29,7 @@ class Roles(Enum): """The valid roles for naming the message event.""" EVENT_ATTRIBUTES = { - GenAIAttributes.GEN_AI_SYSTEM: GenAIAttributes.GenAiSystemValues.OPENAI.value + GenAIAttributes.GEN_AI_PROVIDER_NAME: GenAIAttributes.GenAiSystemValues.OPENAI.value } """The attributes to be used for the event.""" diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py index 680f393d79..3846ddb941 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py @@ -153,7 +153,7 @@ def messages_list_wrapper(tracer, wrapped, instance, args, kwargs): _set_span_attribute( span, - GenAIAttributes.GEN_AI_SYSTEM, + GenAIAttributes.GEN_AI_PROVIDER_NAME, "openai", ) _set_span_attribute( @@ -277,7 +277,7 @@ def runs_create_and_stream_wrapper(tracer, wrapped, instance, args, kwargs): ) _set_span_attribute( span, - GenAIAttributes.GEN_AI_SYSTEM, + GenAIAttributes.GEN_AI_PROVIDER_NAME, "openai", ) _set_span_attribute( diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py index 83addf178b..45483fcd28 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py @@ -305,7 +305,7 @@ def start_response_span(self, end_existing: bool = False, set_input: bool = Fals if self._state.response_span.is_recording(): _set_span_attribute( self._state.response_span, - GenAIAttributes.GEN_AI_SYSTEM, + GenAIAttributes.GEN_AI_PROVIDER_NAME, "openai", ) _set_span_attribute( @@ -671,7 +671,7 @@ async def __aenter__(self): if self._state.session_span.is_recording(): _set_span_attribute( self._state.session_span, - GenAIAttributes.GEN_AI_SYSTEM, + GenAIAttributes.GEN_AI_PROVIDER_NAME, "openai", ) _set_span_attribute( diff --git a/packages/opentelemetry-instrumentation-openai/pyproject.toml b/packages/opentelemetry-instrumentation-openai/pyproject.toml index e0132ad04d..9b229f400d 100644 --- a/packages/opentelemetry-instrumentation-openai/pyproject.toml +++ b/packages/opentelemetry-instrumentation-openai/pyproject.toml @@ -13,7 +13,7 @@ requires-python = ">=3.10,<4" dependencies = [ "opentelemetry-api>=1.38.0,<2", "opentelemetry-instrumentation>=0.59b0", - "opentelemetry-semantic-conventions-ai>=0.5.1,<0.6.0", + "opentelemetry-semantic-conventions-ai>=0.5.0,<0.6.0", "opentelemetry-semantic-conventions>=0.59b0", ] diff --git a/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py b/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py index e5462442ae..fed2fc1771 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py +++ b/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py @@ -212,7 +212,7 @@ def test_chat_streaming_metrics(instrument_legacy, reader, deepseek_client): for data_point in metric.data.data_points: assert ( - data_point.attributes.get(GenAIAttributes.GEN_AI_SYSTEM) == "openai" + data_point.attributes.get(GenAIAttributes.GEN_AI_PROVIDER_NAME) == "openai" ) # Add `deepseek-chat` to the list of models since it's a alternative to OpenAI API assert str( diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py index dc49e694a6..8b2226a80a 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py @@ -81,7 +81,7 @@ def test_new_assistant( ) assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 155 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 145 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" completion_index = 0 for message in messages.data: @@ -164,7 +164,7 @@ def test_new_assistant_with_events_with_content( assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 155 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 145 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() assert len(logs) == 4 @@ -244,7 +244,7 @@ def test_new_assistant_with_events_with_no_content( ) assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 155 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 145 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() assert len(logs) == 4 @@ -314,7 +314,7 @@ def test_new_assistant_with_polling( assert open_ai_span.attributes["gen_ai.prompt.2.content"] == user_message assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 86 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 374 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" completion_index = 0 for message in messages.data: @@ -382,7 +382,7 @@ def test_new_assistant_with_polling_with_events_with_content( assert open_ai_span.attributes["gen_ai.response.model"] == "gpt-4-turbo-preview" assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 86 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 374 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() assert len(logs) == 4 @@ -456,7 +456,7 @@ def test_new_assistant_with_polling_with_events_with_no_content( assert open_ai_span.attributes["gen_ai.response.model"] == "gpt-4-turbo-preview" assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 86 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 374 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() assert len(logs) == 4 @@ -536,7 +536,7 @@ def test_existing_assistant( assert open_ai_span.attributes["gen_ai.prompt.2.content"] == user_message assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 170 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 639 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" completion_index = 0 for message in messages.data: @@ -615,7 +615,7 @@ def test_existing_assistant_with_events_with_content( assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 170 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 639 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() assert len(logs) == 5 @@ -710,7 +710,7 @@ def test_existing_assistant_with_events_with_no_content( assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 170 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 639 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() assert len(logs) == 5 @@ -793,7 +793,7 @@ def on_text_delta(self, delta, snapshot): assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 790 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 225 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" for idx, message in enumerate(assistant_messages): assert ( @@ -861,7 +861,7 @@ def on_text_delta(self, delta, snapshot): assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 790 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 225 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() assert len(logs) == 4 @@ -964,7 +964,7 @@ def on_text_delta(self, delta, snapshot): assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 790 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 225 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() assert len(logs) == 4 @@ -1042,7 +1042,7 @@ def on_text_delta(self, delta, snapshot): assert open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.role"] == "system" assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 364 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 88 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" for idx, message in enumerate(assistant_messages): assert ( @@ -1110,7 +1110,7 @@ def on_text_delta(self, delta, snapshot): assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 364 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 88 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() assert len(logs) == 3 @@ -1198,7 +1198,7 @@ def on_text_delta(self, delta, snapshot): assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 364 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 88 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() assert len(logs) == 3 @@ -1217,7 +1217,7 @@ def on_text_delta(self, delta, snapshot): def assert_message_in_logs(log: ReadableLogRecord, event_name: str, expected_content: dict): assert log.log_record.event_name == event_name assert ( - log.log_record.attributes.get(GenAIAttributes.GEN_AI_SYSTEM) + log.log_record.attributes.get(GenAIAttributes.GEN_AI_PROVIDER_NAME) == GenAIAttributes.GenAiSystemValues.OPENAI.value ) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py index e1e4e7a1e3..0928ba40c6 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py @@ -788,7 +788,7 @@ def test_chat_reasoning(instrument_legacy, span_exporter, def assert_message_in_logs(log: ReadableLogRecord, event_name: str, expected_content: dict): assert log.log_record.event_name == event_name assert ( - log.log_record.attributes.get(GenAIAttributes.GEN_AI_SYSTEM) + log.log_record.attributes.get(GenAIAttributes.GEN_AI_PROVIDER_NAME) == GenAIAttributes.GenAiSystemValues.OPENAI.value ) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py index b19412b20e..29e674804c 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py @@ -1380,7 +1380,7 @@ def assert_message_in_logs(log: ReadableLogRecord, event_name: str, expected_con # In OpenTelemetry 1.37.0+, event_name is a field on LogRecord, not in attributes assert log.log_record.event_name == event_name assert ( - log.log_record.attributes.get(GenAIAttributes.GEN_AI_SYSTEM) + log.log_record.attributes.get(GenAIAttributes.GEN_AI_PROVIDER_NAME) == GenAIAttributes.GenAiSystemValues.OPENAI.value ) @@ -1721,7 +1721,7 @@ def test_chat_streaming_not_consumed(instrument_legacy, span_exporter, log_expor # Verify metric attributes attributes = data_point.attributes assert attributes.get( - "gen_ai.system") == "openai", f"Expected gen_ai.system=openai, got {attributes.get('gen_ai.system')}" + "gen_ai.provider.name") == "openai", f"Expected gen_ai.provider.name=openai, got {attributes.get('gen_ai.provider.name')}" assert attributes.get( "gen_ai.operation.name") == "chat", f"Expected operation=chat, got {attributes.get('gen_ai.operation.name')}" @@ -1797,7 +1797,7 @@ def test_chat_streaming_partial_consumption(instrument_legacy, span_exporter, lo attributes = data_point.attributes assert attributes.get( - "gen_ai.system") == "openai", f"Expected gen_ai.system=openai, got {attributes.get('gen_ai.system')}" + "gen_ai.provider.name") == "openai", f"Expected gen_ai.provider.name=openai, got {attributes.get('gen_ai.provider.name')}" assert attributes.get( "gen_ai.operation.name") == "chat", f"Expected operation=chat, got {attributes.get('gen_ai.operation.name')}" diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_parse.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_parse.py index ab70e3d2c6..7572c679ea 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_parse.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_parse.py @@ -517,7 +517,7 @@ async def test_async_parsed_refused_completion_with_events_with_no_content( def assert_message_in_logs(log: ReadableLogRecord, event_name: str, expected_content: dict): assert log.log_record.event_name == event_name assert ( - log.log_record.attributes.get(GenAIAttributes.GEN_AI_SYSTEM) + log.log_record.attributes.get(GenAIAttributes.GEN_AI_PROVIDER_NAME) == GenAIAttributes.GenAiSystemValues.OPENAI.value ) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py index 475a2c6356..7d3870a1b7 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py @@ -986,7 +986,7 @@ async def test_async_completion_exception(instrument_legacy, span_exporter, asyn def assert_message_in_logs(log: ReadableLogRecord, event_name: str, expected_content: dict): assert log.log_record.event_name == event_name assert ( - log.log_record.attributes.get(GenAIAttributes.GEN_AI_SYSTEM) + log.log_record.attributes.get(GenAIAttributes.GEN_AI_PROVIDER_NAME) == GenAIAttributes.GenAiSystemValues.OPENAI.value ) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_embedding_metrics_handler.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_embedding_metrics_handler.py index 817aab10d6..53faa62bbf 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_embedding_metrics_handler.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_embedding_metrics_handler.py @@ -21,7 +21,7 @@ def test_set_embeddings_metrics_handles_none_values(): duration = 1.23 expected_attributes = { - 'gen_ai.system': 'openai', + 'gen_ai.provider.name': 'openai', 'gen_ai.response.model': 'text-embedding-ada-002', 'gen_ai.operation.name': 'embeddings', 'server.address': '', diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_embeddings.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_embeddings.py index 25018c507a..7a24fb237a 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_embeddings.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_embeddings.py @@ -648,7 +648,7 @@ async def test_async_embeddings_exception(instrument_legacy, span_exporter, asyn def assert_message_in_logs(log: ReadableLogRecord, event_name: str, expected_content: dict): assert log.log_record.event_name == event_name assert ( - log.log_record.attributes.get(GenAIAttributes.GEN_AI_SYSTEM) + log.log_record.attributes.get(GenAIAttributes.GEN_AI_PROVIDER_NAME) == GenAIAttributes.GenAiSystemValues.OPENAI.value ) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_functions.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_functions.py index 5837d93877..dcfb7e8b1e 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_functions.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_functions.py @@ -939,7 +939,7 @@ async def test_open_ai_function_calls_tools_streaming_parallel_with_events_with_ def assert_message_in_logs(log: ReadableLogRecord, event_name: str, expected_content: dict): assert log.log_record.event_name == event_name assert ( - log.log_record.attributes.get(GenAIAttributes.GEN_AI_SYSTEM) + log.log_record.attributes.get(GenAIAttributes.GEN_AI_PROVIDER_NAME) == GenAIAttributes.GenAiSystemValues.OPENAI.value ) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py index 1d5bdd1ae8..d1a0621a27 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py @@ -16,12 +16,16 @@ from opentelemetry.instrumentation.openai.shared.chat_wrappers import ( _set_input_messages, _set_output_messages, + _map_finish_reason, + OPENAI_FINISH_REASON_MAP, ) from opentelemetry.instrumentation.openai.shared.completion_wrappers import ( _set_input_messages as _set_completion_input_messages, ) from opentelemetry.instrumentation.openai.shared import ( + _get_vendor_from_url, _set_request_attributes, + metric_shared_attributes, ) @@ -99,7 +103,7 @@ def test_multiturn_with_tool_calls(self, mock_span): ) assert tool_part["name"] == "get_weather" assert tool_part["id"] == "call_abc123" - assert tool_part["arguments"] == '{"location": "NYC"}' + assert tool_part["arguments"] == {"location": "NYC"} # tool response assert result[3]["role"] == "tool" @@ -288,6 +292,226 @@ def test_empty_string_prompt_is_preserved(self, mock_span): # _set_request_attributes: headers / user serialization # --------------------------------------------------------------------------- +# --------------------------------------------------------------------------- +# P1: _map_finish_reason +# --------------------------------------------------------------------------- + +class TestMapFinishReason: + def test_none_returns_none(self): + """_map_finish_reason(None) must return None, NOT fabricate 'stop'.""" + assert _map_finish_reason(None) is None + + def test_empty_string_returns_none(self): + """_map_finish_reason('') must return None.""" + assert _map_finish_reason("") is None + + def test_tool_calls_mapped_to_tool_call(self): + """OpenAI 'tool_calls' (plural) must map to OTel 'tool_call' (singular).""" + assert _map_finish_reason("tool_calls") == "tool_call" + + def test_stop_passthrough(self): + assert _map_finish_reason("stop") == "stop" + + def test_length_passthrough(self): + assert _map_finish_reason("length") == "length" + + def test_content_filter_passthrough(self): + assert _map_finish_reason("content_filter") == "content_filter" + + +# --------------------------------------------------------------------------- +# P1: Tool call arguments must be parsed objects +# --------------------------------------------------------------------------- + +class TestToolCallArgumentsParsed: + def test_input_tool_call_arguments_are_parsed(self, mock_span): + """Tool call arguments in input messages must be parsed dicts, not raw JSON strings.""" + _set_input_messages(mock_span, [ + { + "role": "assistant", + "content": None, + "tool_calls": [ + { + "id": "call_1", + "type": "function", + "function": { + "name": "get_weather", + "arguments": '{"location": "NYC"}', + }, + } + ], + } + ]) + result = _get_input_messages(mock_span) + tool_part = next(p for p in result[0]["parts"] if p["type"] == "tool_call") + # arguments must be a parsed dict, not a raw JSON string + assert isinstance(tool_part["arguments"], dict), ( + f"Expected parsed dict, got {type(tool_part['arguments'])}: {tool_part['arguments']}" + ) + assert tool_part["arguments"] == {"location": "NYC"} + + def test_output_tool_call_arguments_are_parsed(self, mock_span): + """Tool call arguments in output messages must be parsed dicts.""" + choices = [ + { + "index": 0, + "message": { + "role": "assistant", + "content": None, + "tool_calls": [ + { + "id": "call_2", + "type": "function", + "function": { + "name": "search", + "arguments": '{"query": "hello"}', + }, + } + ], + }, + "finish_reason": "tool_calls", + } + ] + _set_output_messages(mock_span, choices) + result = _get_output_messages(mock_span) + tool_part = next(p for p in result[0]["parts"] if p["type"] == "tool_call") + assert isinstance(tool_part["arguments"], dict), ( + f"Expected parsed dict, got {type(tool_part['arguments'])}: {tool_part['arguments']}" + ) + assert tool_part["arguments"] == {"query": "hello"} + + def test_invalid_json_arguments_fallback_to_string(self, mock_span): + """Non-JSON arguments string should fall back to the raw string.""" + _set_input_messages(mock_span, [ + { + "role": "assistant", + "content": None, + "tool_calls": [ + { + "id": "call_3", + "type": "function", + "function": { + "name": "fn", + "arguments": "not valid json", + }, + } + ], + } + ]) + result = _get_input_messages(mock_span) + tool_part = next(p for p in result[0]["parts"] if p["type"] == "tool_call") + assert tool_part["arguments"] == "not valid json" + + +# --------------------------------------------------------------------------- +# P1: Multimodal content blocks mapped to OTel part types +# --------------------------------------------------------------------------- + +class TestMultimodalContentMapping: + def test_user_image_url_mapped_to_uri_part(self, mock_span): + """OpenAI image_url content block must map to OTel uri part.""" + _set_input_messages(mock_span, [ + { + "role": "user", + "content": [ + {"type": "text", "text": "What is in this image?"}, + {"type": "image_url", "image_url": {"url": "https://example.com/img.png"}}, + ], + } + ]) + result = _get_input_messages(mock_span) + parts = result[0]["parts"] + + # text block mapped + text_parts = [p for p in parts if p.get("type") == "text"] + assert len(text_parts) == 1 + assert text_parts[0]["content"] == "What is in this image?" + + # image_url block mapped to uri part + uri_parts = [p for p in parts if p.get("type") == "uri"] + assert len(uri_parts) == 1, f"Expected 1 uri part, got parts: {parts}" + assert uri_parts[0]["uri"] == "https://example.com/img.png" + assert uri_parts[0]["modality"] == "image" + + def test_text_list_content_mapped(self, mock_span): + """List content with text blocks must use 'content' key not 'text' key.""" + _set_input_messages(mock_span, [ + { + "role": "user", + "content": [ + {"type": "text", "text": "Hello"}, + ], + } + ]) + result = _get_input_messages(mock_span) + parts = result[0]["parts"] + assert parts[0]["type"] == "text" + assert parts[0]["content"] == "Hello" + assert "text" not in parts[0] or parts[0].get("type") == "text" # "text" key only for type + + +# --------------------------------------------------------------------------- +# P2: _get_vendor_from_url returns OTel well-known provider name values +# --------------------------------------------------------------------------- + +class TestGetVendorFromUrl: + def test_openai_default(self): + assert _get_vendor_from_url("") == "openai" + + def test_openai_api(self): + assert _get_vendor_from_url("https://api.openai.com/v1/") == "openai" + + def test_azure_openai(self): + result = _get_vendor_from_url("https://myendpoint.openai.azure.com/") + # Must NOT be mixed-case "Azure" — OTel well-known value + assert result == "az.ai.openai", f"Expected 'az.ai.openai', got '{result}'" + + def test_aws_bedrock(self): + result = _get_vendor_from_url("https://bedrock-runtime.us-east-1.amazonaws.com/") + assert result == "aws.bedrock", f"Expected 'aws.bedrock', got '{result}'" + + def test_google_vertex(self): + result = _get_vendor_from_url("https://us-central1-aiplatform.googleapis.com/") + assert result == "gcp.vertex_ai", f"Expected 'gcp.vertex_ai', got '{result}'" + + def test_openrouter(self): + result = _get_vendor_from_url("https://openrouter.ai/api/v1/") + assert result == "openrouter", f"Expected 'openrouter', got '{result}'" + + +# --------------------------------------------------------------------------- +# P2: metric_shared_attributes uses constant, not hardcoded string +# --------------------------------------------------------------------------- + +class TestMetricSharedAttributes: + def test_operation_name_key_is_constant(self): + """gen_ai.operation.name key must use the upstream constant.""" + attrs = metric_shared_attributes( + response_model="gpt-4", + operation="chat", + server_address="https://api.openai.com/v1/", + ) + assert GenAIAttributes.GEN_AI_OPERATION_NAME in attrs, ( + f"Expected key '{GenAIAttributes.GEN_AI_OPERATION_NAME}' in attrs, " + f"got keys: {list(attrs.keys())}" + ) + + +# --------------------------------------------------------------------------- +# P2: gen_ai.provider.name used instead of deprecated gen_ai.system +# --------------------------------------------------------------------------- + +class TestProviderNameAttribute: + def test_request_attributes_set_provider_name(self, mock_span): + """_set_request_attributes must set gen_ai.provider.name, not gen_ai.system.""" + _set_request_attributes(mock_span, {"model": "gpt-4"}) + # The new attribute should be present + assert GenAIAttributes.GEN_AI_PROVIDER_NAME in mock_span._attrs, ( + f"Expected '{GenAIAttributes.GEN_AI_PROVIDER_NAME}' in attrs, " + f"got: {list(mock_span._attrs.keys())}" + ) + + class TestRequestAttributesSerialization: def test_none_headers_not_recorded_as_string(self, mock_span): """kwargs with headers=None should not record literal 'None'.""" diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_prompt_caching.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_prompt_caching.py index e7c8cc34af..caa37f6110 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_prompt_caching.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_prompt_caching.py @@ -500,7 +500,7 @@ async def test_openai_prompt_caching_async_with_events_with_no_content( def assert_message_in_logs(log: ReadableLogRecord, event_name: str, expected_content: dict): assert log.log_record.event_name == event_name assert ( - log.log_record.attributes.get(GenAIAttributes.GEN_AI_SYSTEM) + log.log_record.attributes.get(GenAIAttributes.GEN_AI_PROVIDER_NAME) == GenAIAttributes.GenAiSystemValues.OPENAI.value ) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py index 4b095ab981..ceb8e13270 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py @@ -471,13 +471,13 @@ async def test_full_text_conversation_flow(self, tracer_provider_and_exporter): assert "openai.realtime" in span_names session_span = next(s for s in spans if s.name == "openai.session") - assert session_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert session_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" assert session_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "gpt-4o-realtime-preview" assert session_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert session_span.status.status_code == StatusCode.OK response_span = next(s for s in spans if s.name == "openai.realtime") - assert response_span.attributes[GenAIAttributes.GEN_AI_SYSTEM] == "openai" + assert response_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" assert response_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" # Verify finish_reason is "stop" for text response without tool calls diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py index 6764856030..f55da1ba00 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py @@ -20,7 +20,7 @@ def test_responses( assert len(spans) == 1 span = spans[0] assert span.name == "openai.response" - assert span.attributes["gen_ai.system"] == "openai" + assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert span.attributes["gen_ai.response.model"] == "gpt-4.1-nano-2025-04-14" # assert ( @@ -45,7 +45,7 @@ def test_responses_with_request_params( assert len(spans) == 1 span = spans[0] assert span.name == "openai.response" - assert span.attributes["gen_ai.system"] == "openai" + assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" # Check that request parameters are captured @@ -104,7 +104,7 @@ def test_responses_with_input_history( assert len(spans) == 2 span = spans[1] assert span.name == "openai.response" - assert span.attributes["gen_ai.system"] == "openai" + assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert span.attributes["gen_ai.response.model"] == "gpt-4.1-nano-2025-04-14" # assert ( @@ -165,7 +165,7 @@ def test_responses_tool_calls( assert len(spans) == 1 span = spans[0] assert span.name == "openai.response" - assert span.attributes["gen_ai.system"] == "openai" + assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert span.attributes["gen_ai.response.model"] == "gpt-4.1-nano-2025-04-14" @@ -285,7 +285,7 @@ def test_responses_streaming( span = spans[0] assert span.name == "openai.response" - assert span.attributes["gen_ai.system"] == "openai" + assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert span.attributes["gen_ai.response.model"] == "gpt-4.1-nano-2025-04-14" assert full_text != "", "Should have received streaming content" @@ -322,7 +322,7 @@ async def test_responses_streaming_async( span = spans[0] assert span.name == "openai.response" - assert span.attributes["gen_ai.system"] == "openai" + assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert full_text != "", "Should have received streaming content" assert span.attributes["gen_ai.prompt.0.content"] == input_text @@ -355,7 +355,7 @@ def test_responses_streaming_with_content( span = spans[0] assert span.name == "openai.response" - assert span.attributes["gen_ai.system"] == "openai" + assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert full_text != "", "Should have received streaming content" assert span.attributes["gen_ai.prompt.0.content"] == input_text @@ -386,7 +386,7 @@ def test_responses_streaming_with_context_manager( span = spans[0] assert span.name == "openai.response" - assert span.attributes["gen_ai.system"] == "openai" + assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert full_text != "", "Should have received streaming content" assert span.attributes["gen_ai.prompt.0.content"] == input_text @@ -422,7 +422,7 @@ async def test_responses_streaming_async_with_context_manager( span = spans[0] assert span.name == "openai.response" - assert span.attributes["gen_ai.system"] == "openai" + assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert full_text != "", "Should have received streaming content" assert span.attributes["gen_ai.prompt.0.content"] == input_text @@ -654,7 +654,7 @@ def test_responses_streaming_with_parent_span( # Verify streaming worked correctly assert full_text != "", "Should have received streaming content" - assert openai_span.attributes["gen_ai.system"] == "openai" + assert openai_span.attributes["gen_ai.provider.name"] == "openai" assert openai_span.attributes["gen_ai.request.model"] == "gpt-4o" assert openai_span.attributes["gen_ai.is_streaming"] is True @@ -726,7 +726,7 @@ async def test_responses_streaming_async_with_parent_span( # Verify streaming worked correctly assert full_text != "", "Should have received streaming content" - assert openai_span.attributes["gen_ai.system"] == "openai" + assert openai_span.attributes["gen_ai.provider.name"] == "openai" assert openai_span.attributes["gen_ai.request.model"] == "gpt-4o" assert openai_span.attributes["gen_ai.is_streaming"] is True diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_span_context_propagation.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_span_context_propagation.py index dec1cd1bb8..1171f05fc6 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_span_context_propagation.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_span_context_propagation.py @@ -20,7 +20,7 @@ def assert_event_has_span_context(log: ReadableLogRecord, expected_trace_id: int ) # Verify it's a proper OpenAI event - assert log_record.attributes.get(GenAIAttributes.GEN_AI_SYSTEM) == GenAIAttributes.GenAiSystemValues.OPENAI.value + assert log_record.attributes.get(GenAIAttributes.GEN_AI_PROVIDER_NAME) == GenAIAttributes.GenAiSystemValues.OPENAI.value def test_span_context_propagation_with_mock_client( diff --git 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packages/opentelemetry-instrumentation-openai/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/packages/opentelemetry-instrumentation-openai/pyproject.toml b/packages/opentelemetry-instrumentation-openai/pyproject.toml index 9b229f400d..e0132ad04d 100644 --- a/packages/opentelemetry-instrumentation-openai/pyproject.toml +++ b/packages/opentelemetry-instrumentation-openai/pyproject.toml @@ -13,7 +13,7 @@ requires-python = ">=3.10,<4" dependencies = [ "opentelemetry-api>=1.38.0,<2", "opentelemetry-instrumentation>=0.59b0", - "opentelemetry-semantic-conventions-ai>=0.5.0,<0.6.0", + "opentelemetry-semantic-conventions-ai>=0.5.1,<0.6.0", "opentelemetry-semantic-conventions>=0.59b0", ] From 3ae8068d867129919ccde23d62334a27a8774a43 Mon Sep 17 00:00:00 2001 From: Max Deygin Date: Sun, 29 Mar 2026 15:44:47 +0300 Subject: [PATCH 11/22] Lint fixes --- .../tests/traces/test_chat.py | 16 ++++++++-------- .../tests/traces/test_messages_attributes.py | 1 - .../traces/test_span_context_propagation.py | 3 ++- .../opentelemetry-instrumentation-openai/uv.lock | 10 +++++----- 4 files changed, 15 insertions(+), 15 deletions(-) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py index 29e674804c..caf9826983 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py @@ -1720,10 +1720,10 @@ def test_chat_streaming_not_consumed(instrument_legacy, span_exporter, log_expor # Verify metric attributes attributes = data_point.attributes - assert attributes.get( - "gen_ai.provider.name") == "openai", f"Expected gen_ai.provider.name=openai, got {attributes.get('gen_ai.provider.name')}" - assert attributes.get( - "gen_ai.operation.name") == "chat", f"Expected operation=chat, got {attributes.get('gen_ai.operation.name')}" + provider = attributes.get("gen_ai.provider.name") + assert provider == "openai", f"Expected gen_ai.provider.name=openai, got {provider}" + operation = attributes.get("gen_ai.operation.name") + assert operation == "chat", f"Expected operation=chat, got {operation}" streaming_data_points = [ dp for dp in duration_metric.data.data_points @@ -1796,10 +1796,10 @@ def test_chat_streaming_partial_consumption(instrument_legacy, span_exporter, lo assert data_point.sum > 0, f"Duration should be greater than 0, got {data_point.sum}" attributes = data_point.attributes - assert attributes.get( - "gen_ai.provider.name") == "openai", f"Expected gen_ai.provider.name=openai, got {attributes.get('gen_ai.provider.name')}" - assert attributes.get( - "gen_ai.operation.name") == "chat", f"Expected operation=chat, got {attributes.get('gen_ai.operation.name')}" + provider = attributes.get("gen_ai.provider.name") + assert provider == "openai", f"Expected gen_ai.provider.name=openai, got {provider}" + operation = attributes.get("gen_ai.operation.name") + assert operation == "chat", f"Expected operation=chat, got {operation}" streaming_data_points = [ dp for dp in duration_metric.data.data_points diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py index d1a0621a27..74ec0464b8 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py @@ -17,7 +17,6 @@ _set_input_messages, _set_output_messages, _map_finish_reason, - OPENAI_FINISH_REASON_MAP, ) from opentelemetry.instrumentation.openai.shared.completion_wrappers import ( _set_input_messages as _set_completion_input_messages, diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_span_context_propagation.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_span_context_propagation.py index 1171f05fc6..4918d0f0a1 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_span_context_propagation.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_span_context_propagation.py @@ -20,7 +20,8 @@ def assert_event_has_span_context(log: ReadableLogRecord, expected_trace_id: int ) # Verify it's a proper OpenAI event - assert log_record.attributes.get(GenAIAttributes.GEN_AI_PROVIDER_NAME) == GenAIAttributes.GenAiSystemValues.OPENAI.value + provider = log_record.attributes.get(GenAIAttributes.GEN_AI_PROVIDER_NAME) + assert provider == GenAIAttributes.GenAiSystemValues.OPENAI.value def test_span_context_propagation_with_mock_client( diff --git a/packages/opentelemetry-instrumentation-openai/uv.lock b/packages/opentelemetry-instrumentation-openai/uv.lock index cee81302aa..24d8bf6c14 100644 --- a/packages/opentelemetry-instrumentation-openai/uv.lock +++ b/packages/opentelemetry-instrumentation-openai/uv.lock @@ -546,7 +546,7 @@ wheels = [ [[package]] name = "opentelemetry-instrumentation-openai" -version = "0.53.3" +version = "0.53.4" source = { editable = "." } dependencies = [ { name = "opentelemetry-api" }, @@ -582,7 +582,7 @@ requires-dist = [ { name = "opentelemetry-api", specifier = ">=1.38.0,<2" }, { name = "opentelemetry-instrumentation", specifier = ">=0.59b0" }, { name = "opentelemetry-semantic-conventions", specifier = ">=0.59b0" }, - { name = "opentelemetry-semantic-conventions-ai", specifier = ">=0.5.0,<0.6.0" }, + { name = "opentelemetry-semantic-conventions-ai", specifier = ">=0.5.1,<0.6.0" }, ] provides-extras = ["instruments"] @@ -631,15 +631,15 @@ wheels = [ [[package]] name = "opentelemetry-semantic-conventions-ai" -version = "0.5.0" +version = "0.5.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "opentelemetry-sdk" }, { name 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a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py @@ -21,6 +21,9 @@ OPENAI_LLM_USAGE_TOKEN_TYPES = ["prompt_tokens", "completion_tokens"] PROMPT_FILTER_KEY = "prompt_filter_results" PROMPT_ERROR = "prompt_error" +OPENAI_FINISH_REASON_MAP = { + "tool_calls": "tool_call", +} _PYDANTIC_VERSION = version("pydantic") @@ -206,6 +209,19 @@ def _set_response_attributes(span, response): _set_span_attribute(span, GenAIAttributes.GEN_AI_RESPONSE_MODEL, response_model) _set_span_attribute(span, GenAIAttributes.GEN_AI_RESPONSE_ID, response.get("id")) + # Set gen_ai.response.finish_reasons (top-level, not gated by content opt-in) + choices = response.get("choices") + if choices: + finish_reasons = tuple( + OPENAI_FINISH_REASON_MAP.get(c.get("finish_reason"), c.get("finish_reason")) + for c in choices + if c.get("finish_reason") + ) + if finish_reasons: + _set_span_attribute( + span, GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS, finish_reasons + ) + _set_span_attribute( span, GenAIAttributes.GEN_AI_OPENAI_RESPONSE_SYSTEM_FINGERPRINT, @@ -292,7 +308,7 @@ def _get_vendor_from_url(base_url): return "openai" if "openai.azure.com" in base_url: - return "az.ai.openai" + return "azure.ai.openai" elif "amazonaws.com" in base_url or "bedrock" in base_url: return "aws.bedrock" elif "googleapis.com" in base_url or "vertex" in base_url: diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py index 74ec0464b8..e8851bbfd0 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py @@ -24,6 +24,7 @@ from opentelemetry.instrumentation.openai.shared import ( _get_vendor_from_url, _set_request_attributes, + _set_response_attributes, metric_shared_attributes, ) @@ -462,8 +463,8 @@ def test_openai_api(self): def test_azure_openai(self): result = _get_vendor_from_url("https://myendpoint.openai.azure.com/") - # Must NOT be mixed-case "Azure" — OTel well-known value - assert result == "az.ai.openai", f"Expected 'az.ai.openai', got '{result}'" + # OTel GenAiSystemValues.AZURE_AI_OPENAI — "az.ai.openai" is deprecated + assert result == "azure.ai.openai", f"Expected 'azure.ai.openai', got '{result}'" def test_aws_bedrock(self): result = _get_vendor_from_url("https://bedrock-runtime.us-east-1.amazonaws.com/") @@ -522,3 +523,86 @@ def test_none_user_not_recorded(self, mock_span): """kwargs with user=None should not record attribute.""" _set_request_attributes(mock_span, {"model": "gpt-4"}) assert SpanAttributes.GEN_AI_USER not in mock_span._attrs + + +# --------------------------------------------------------------------------- +# P1: gen_ai.response.finish_reasons must be set as top-level span attribute +# --------------------------------------------------------------------------- + +class TestFinishReasonsTopLevel: + """gen_ai.response.finish_reasons is a Recommended top-level string[] + span attribute per OTel GenAI semconv. It must be set by + _set_response_attributes, independently of should_send_prompts.""" + + def test_single_stop_reason(self, mock_span): + """Single choice with finish_reason='stop' sets ['stop'].""" + response = { + "model": "gpt-4", + "id": "chatcmpl-123", + "choices": [ + {"index": 0, "finish_reason": "stop", "message": {"role": "assistant", "content": "Hi"}}, + ], + "usage": {"prompt_tokens": 5, "completion_tokens": 1, "total_tokens": 6}, + } + _set_response_attributes(mock_span, response) + assert GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS in mock_span._attrs, ( + f"Expected '{GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS}' in span attrs, " + f"got: {list(mock_span._attrs.keys())}" + ) + assert mock_span._attrs[GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS] == ("stop",) + + def test_tool_calls_mapped_to_tool_call(self, mock_span): + """finish_reason='tool_calls' must be mapped to 'tool_call' (singular).""" + response = { + "model": "gpt-4", + "id": "chatcmpl-456", + "choices": [ + {"index": 0, "finish_reason": "tool_calls", "message": {"role": "assistant"}}, + ], + "usage": {"prompt_tokens": 5, "completion_tokens": 1, "total_tokens": 6}, + } + _set_response_attributes(mock_span, response) + assert mock_span._attrs[GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS] == ("tool_call",) + + def test_multiple_choices(self, mock_span): + """Multiple choices produce an array of mapped finish reasons.""" + response = { + "model": "gpt-4", + "id": "chatcmpl-789", + "choices": [ + {"index": 0, "finish_reason": "stop", "message": {"role": "assistant"}}, + {"index": 1, "finish_reason": "length", "message": {"role": "assistant"}}, + ], + "usage": {"prompt_tokens": 5, "completion_tokens": 2, "total_tokens": 7}, + } + _set_response_attributes(mock_span, response) + assert mock_span._attrs[GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS] == ("stop", "length") + + def test_content_filter_reason(self, mock_span): + """content_filter finish reason passes through unchanged.""" + response = { + "model": "gpt-4", + "id": "chatcmpl-cf", + "choices": [ + {"index": 0, "finish_reason": "content_filter", "message": {"role": "assistant"}}, + ], + "usage": {"prompt_tokens": 5, "completion_tokens": 1, "total_tokens": 6}, + } + _set_response_attributes(mock_span, response) + assert mock_span._attrs[GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS] == ("content_filter",) + + def test_no_choices_no_finish_reasons(self, mock_span): + """Response without choices should not set finish_reasons.""" + response = { + "model": "gpt-4", + "id": "chatcmpl-empty", + "usage": {"prompt_tokens": 5, "completion_tokens": 0, "total_tokens": 5}, + } + _set_response_attributes(mock_span, response) + assert GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS not in mock_span._attrs + + def test_error_response_no_finish_reasons(self, mock_span): + """Error response should not set finish_reasons.""" + response = {"error": {"message": "Rate limit exceeded", "type": "rate_limit_error"}} + _set_response_attributes(mock_span, response) + assert GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS not in mock_span._attrs From 618fc086b5decec92eb3454d2c5db7524d3fc075 Mon Sep 17 00:00:00 2001 From: Max Deygin Date: Sun, 29 Mar 2026 17:08:49 +0300 Subject: [PATCH 13/22] CR #4 --- .../instrumentation/openai/shared/__init__.py | 33 + .../openai/shared/chat_wrappers.py | 26 +- .../openai/v1/realtime_wrappers.py | 5 +- .../openai/v1/responses_wrappers.py | 131 ++++ .../tests/traces/test_semconv_compliance.py | 585 ++++++++++++++++++ 5 files changed, 777 insertions(+), 3 deletions(-) create mode 100644 packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py index 4b1b91e641..d721d2fa04 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py @@ -75,10 +75,35 @@ def _set_api_attributes(span): return +def _build_tool_def_dict(function_dict): + """Extract name/description/parameters from a function dict into a tool definition.""" + tool_def = {} + if function_dict.get("name"): + tool_def["name"] = function_dict["name"] + if function_dict.get("description"): + tool_def["description"] = function_dict["description"] + if function_dict.get("parameters"): + tool_def["parameters"] = function_dict["parameters"] + return tool_def + + +def _set_tool_definitions_json(span, tool_defs): + """Set gen_ai.tool.definitions as a single JSON string attribute.""" + if tool_defs: + _set_span_attribute( + span, GenAIAttributes.GEN_AI_TOOL_DEFINITIONS, json.dumps(tool_defs) + ) + + def _set_functions_attributes(span, functions): if not functions: return + if Config.use_messages_attributes: + tool_defs = [d for f in functions if (d := _build_tool_def_dict(f))] + _set_tool_definitions_json(span, tool_defs) + return + for i, function in enumerate(functions): prefix = f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.{i}" _set_span_attribute(span, f"{prefix}.name", function.get("name")) @@ -92,6 +117,14 @@ def set_tools_attributes(span, tools): if not tools: return + if Config.use_messages_attributes: + tool_defs = [ + d for tool in tools + if tool.get("function") and (d := _build_tool_def_dict(tool["function"])) + ] + _set_tool_definitions_json(span, tool_defs) + return + for i, tool in enumerate(tools): function = tool.get("function") if not function: 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 bf841e985d..3efa662161 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 @@ -398,8 +398,9 @@ def _set_choice_counter_metrics(choice_counter, choices, shared_attributes): for choice in choices: attributes_with_reason = {**shared_attributes} if choice.get("finish_reason"): + raw_reason = choice.get("finish_reason") attributes_with_reason[SpanAttributes.GEN_AI_RESPONSE_FINISH_REASON] = ( - choice.get("finish_reason") + OPENAI_FINISH_REASON_MAP.get(raw_reason, raw_reason) ) choice_counter.add(1, attributes=attributes_with_reason) @@ -459,8 +460,18 @@ def _map_content_block(block): image_url = block.get("image_url") if isinstance(image_url, dict): url = image_url.get("url", "") + if url.startswith("data:"): + # Parse data URI: data:;base64, + try: + header, content = url.split(",", 1) + mime_type = header.split(":", 1)[1].split(";", 1)[0] + except (ValueError, IndexError): + mime_type = "image/unknown" + content = url + return {"type": "blob", "modality": "image", "mime_type": mime_type, "content": content} return {"type": "uri", "modality": "image", "uri": url} - return block + # Preserve the type for unrecognized blocks + return {"type": block_type or "unknown", "content": block} def _map_content_parts(content): """Convert content to OTel parts list. Handles str, list, and None.""" @@ -604,6 +615,12 @@ def _set_output_messages(span, choices): continue content = message.get("content") parts = _map_content_parts(content) + refusal = message.get("refusal") + if refusal: + parts.append({"type": "refusal", "content": refusal}) + reasoning_content = message.get("reasoning_content") + if reasoning_content: + parts.append({"type": "reasoning", "content": reasoning_content}) tool_calls = _parse_tool_calls(message.get("tool_calls")) or [] for tool_call in tool_calls: parts.append({ @@ -1290,6 +1307,11 @@ def _accumulate_stream_items(item, complete_response): if delta and delta.get("content"): complete_choice["message"]["content"] += delta.get("content") + if delta and delta.get("reasoning_content"): + if "reasoning_content" not in complete_choice["message"]: + complete_choice["message"]["reasoning_content"] = "" + complete_choice["message"]["reasoning_content"] += delta.get("reasoning_content") + if delta and delta.get("role"): complete_choice["message"]["role"] = delta.get("role") if delta and delta.get("tool_calls"): diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py index 45483fcd28..636ddfff66 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py @@ -540,10 +540,13 @@ async def update(self, **kwargs): session_config["temperature"], ) if "instructions" in session_config: + instructions_parts = json.dumps([ + {"type": "text", "content": session_config["instructions"]} + ]) _set_span_attribute( self._state.session_span, GenAIAttributes.GEN_AI_SYSTEM_INSTRUCTIONS, - session_config["instructions"], + instructions_parts, ) return result diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py index 300b7a6978..b501d63433 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py @@ -20,11 +20,14 @@ from wrapt import ObjectProxy from opentelemetry.instrumentation.openai.shared import ( + _build_tool_def_dict, _extract_model_name_from_provider_format, _set_request_attributes, _set_span_attribute, + _set_tool_definitions_json, model_as_dict, ) +from opentelemetry.instrumentation.openai.shared.config import Config from opentelemetry.instrumentation.openai.utils import ( _with_tracer_wrapper, dont_throw, @@ -251,7 +254,110 @@ def prepare_kwargs_for_shared_attributes(kwargs): return prepared_kwargs +def _set_responses_json_messages(traced_response: TracedData, span: Span): + """Set gen_ai.input.messages and gen_ai.output.messages as JSON when + Config.use_messages_attributes is True.""" + # Build input messages + input_messages = [] + if traced_response.instructions: + input_messages.append({ + "role": "system", + "parts": [{"type": "text", "content": traced_response.instructions}], + }) + if isinstance(traced_response.input, str): + input_messages.append({ + "role": "user", + "parts": [{"type": "text", "content": traced_response.input}], + }) + elif traced_response.input: + for block in traced_response.input: + block_dict = model_as_dict(block) + block_type = block_dict.get("type", "message") + if block_type == "message": + content = block_dict.get("content") + if is_validator_iterator(content): + content = [process_content_block(b) for b in content] + parts = [] + if isinstance(content, str): + parts.append({"type": "text", "content": content}) + elif isinstance(content, list): + for item in content: + if isinstance(item, dict): + item_type = item.get("type", "") + if item_type in ("text", "input_text", "output_text"): + parts.append({"type": "text", "content": item.get("text", "")}) + else: + parts.append(item) + else: + parts.append({"type": "text", "content": str(item)}) + input_messages.append({ + "role": block_dict.get("role", "user"), + "parts": parts, + }) + elif block_type == "function_call": + input_messages.append({ + "role": "assistant", + "parts": [{ + "type": "tool_call", + "name": block_dict.get("name"), + "id": block_dict.get("id") or block_dict.get("call_id"), + "arguments": block_dict.get("arguments", ""), + }], + }) + elif block_type == "function_call_output": + input_messages.append({ + "role": "tool", + "parts": [{ + "type": "tool_call_response", + "id": block_dict.get("call_id"), + "response": block_dict.get("output", ""), + }], + }) + + _set_span_attribute(span, GenAIAttributes.GEN_AI_INPUT_MESSAGES, json.dumps(input_messages)) + + # Build output messages + output_messages = [] + if traced_response.output_blocks: + parts = [] + if traced_response.output_text: + parts.append({"type": "text", "content": traced_response.output_text}) + for block in traced_response.output_blocks.values(): + block_dict = model_as_dict(block) + block_type = block_dict.get("type") + if block_type == "function_call": + parts.append({ + "type": "tool_call", + "name": block_dict.get("name"), + "id": block_dict.get("id"), + "arguments": block_dict.get("arguments", ""), + }) + elif block_type == "reasoning": + summary = block_dict.get("summary") + if summary is not None and summary != []: + if isinstance(summary, (dict, list)): + parts.append({"type": "reasoning", "content": json.dumps(summary)}) + else: + parts.append({"type": "reasoning", "content": summary}) + if parts: + output_messages.append({ + "role": "assistant", + "parts": parts, + }) + + _set_span_attribute(span, GenAIAttributes.GEN_AI_OUTPUT_MESSAGES, json.dumps(output_messages)) + + # Tool definitions as JSON when use_messages_attributes is enabled + if traced_response.tools: + tool_defs = [ + d for tp in traced_response.tools + if (d := _build_tool_def_dict(model_as_dict(tp))) + ] + _set_tool_definitions_json(span, tool_defs) + + def set_data_attributes(traced_response: TracedData, span: Span): + _set_span_attribute(span, GenAIAttributes.GEN_AI_OPERATION_NAME, "chat") _set_span_attribute(span, GenAIAttributes.GEN_AI_RESPONSE_ID, traced_response.response_id) response_model = _extract_model_name_from_provider_format(traced_response.response_model) @@ -305,6 +411,31 @@ def set_data_attributes(traced_response: TracedData, span: Span): traced_response.response_reasoning_effort or (), ) + # P1-2: Derive finish_reasons from output blocks + if traced_response.output_blocks: + finish_reasons = [] + has_tool_call = False + for block in traced_response.output_blocks.values(): + block_dict = model_as_dict(block) + block_type = block_dict.get("type") + if block_type == "message": + finish_reasons.append("stop") + elif block_type in ("function_call", "file_search_call", "web_search_call", + "computer_call", "code_interpreter_call"): + has_tool_call = True + if has_tool_call: + finish_reasons.append("tool_calls") + if finish_reasons: + _set_span_attribute( + span, + GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS, + tuple(finish_reasons), + ) + + if should_send_prompts() and Config.use_messages_attributes: + _set_responses_json_messages(traced_response, span) + return + if should_send_prompts(): prompt_index = 0 if traced_response.tools: diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py new file mode 100644 index 0000000000..0b77b858f6 --- /dev/null +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py @@ -0,0 +1,585 @@ +"""Tests for semconv compliance fixes from openai-semconv-review.md. + +TDD: These tests are written FIRST, before any implementation changes. +Each test class maps to an issue ID from the review document. +""" + +import json +from unittest.mock import MagicMock, AsyncMock + +import pytest +from opentelemetry.semconv._incubating.attributes import ( + gen_ai_attributes as GenAIAttributes, +) +from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import ( + GenAiOperationNameValues, +) +from opentelemetry.semconv.attributes.server_attributes import SERVER_ADDRESS +from opentelemetry.semconv_ai import SpanAttributes + +from openai.types.responses import ( + ResponseOutputMessage, + ResponseOutputText, + ResponseFunctionToolCall, +) + +from opentelemetry.instrumentation.openai.shared import ( + metric_shared_attributes, + set_tools_attributes, + _set_functions_attributes, +) +from opentelemetry.instrumentation.openai.shared.chat_wrappers import ( + _accumulate_stream_items, + _map_content_block, + _set_output_messages, +) +from opentelemetry.instrumentation.openai.shared.config import Config + + +@pytest.fixture +def mock_span(): + span = MagicMock() + span.is_recording.return_value = True + attrs = {} + + def set_attribute(name, value): + attrs[name] = value + + span.set_attribute = set_attribute + span._attrs = attrs + return span + + +def _get_output_messages(span): + return json.loads(span._attrs[GenAIAttributes.GEN_AI_OUTPUT_MESSAGES]) + + +def _make_message_output(msg_id="msg_001", text="Hi there"): + """Helper to create a proper ResponseOutputMessage.""" + return ResponseOutputMessage( + id=msg_id, + type="message", + status="completed", + role="assistant", + content=[ResponseOutputText(type="output_text", text=text, annotations=[])], + ) + + +def _make_function_call_output(fc_id="fc_001", name="get_weather", args="{}"): + """Helper to create a proper ResponseFunctionToolCall.""" + return ResponseFunctionToolCall( + id=fc_id, + type="function_call", + name=name, + arguments=args, + call_id="call_001", + status="completed", + ) + + +# --------------------------------------------------------------------------- +# P1-1: Responses API must set gen_ai.operation.name on every span +# --------------------------------------------------------------------------- + +class TestP1_1_ResponsesOperationName: + """Every start_span() call in responses_wrappers.py must include + gen_ai.operation.name = 'chat'.""" + + def test_set_data_attributes_sets_operation_name(self, mock_span): + """set_data_attributes should set gen_ai.operation.name = 'chat'.""" + from opentelemetry.instrumentation.openai.v1.responses_wrappers import ( + set_data_attributes, + TracedData, + ) + + traced = TracedData( + start_time=1000, + response_id="resp_123", + input="Hello", + instructions=None, + tools=None, + output_blocks={}, + usage=None, + output_text="Hi", + request_model="gpt-4", + response_model="gpt-4", + ) + set_data_attributes(traced, mock_span) + + assert GenAIAttributes.GEN_AI_OPERATION_NAME in mock_span._attrs, ( + f"Expected '{GenAIAttributes.GEN_AI_OPERATION_NAME}' in span attrs, " + f"got: {list(mock_span._attrs.keys())}" + ) + assert mock_span._attrs[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" + + +# --------------------------------------------------------------------------- +# P1-2: Responses API must set gen_ai.response.finish_reasons +# --------------------------------------------------------------------------- + +class TestP1_2_ResponsesFinishReasons: + """set_data_attributes must emit gen_ai.response.finish_reasons.""" + + def test_completed_message_has_stop_finish_reason(self, mock_span): + from opentelemetry.instrumentation.openai.v1.responses_wrappers import ( + set_data_attributes, + TracedData, + ) + + msg = _make_message_output("msg_001", "Hi there") + traced = TracedData( + start_time=1000, + response_id="resp_123", + input="Hello", + instructions=None, + tools=None, + output_blocks={"msg_001": msg}, + usage=None, + output_text="Hi there", + request_model="gpt-4", + response_model="gpt-4", + ) + set_data_attributes(traced, mock_span) + + assert GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS in mock_span._attrs, ( + f"Expected '{GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS}' in span attrs, " + f"got: {list(mock_span._attrs.keys())}" + ) + reasons = mock_span._attrs[GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS] + assert "stop" in reasons + + def test_function_call_has_tool_call_finish_reason(self, mock_span): + from opentelemetry.instrumentation.openai.v1.responses_wrappers import ( + set_data_attributes, + TracedData, + ) + + fc = _make_function_call_output("fc_001", "get_weather", "{}") + traced = TracedData( + start_time=1000, + response_id="resp_456", + input="What's the weather?", + instructions=None, + tools=None, + output_blocks={"fc_001": fc}, + usage=None, + output_text=None, + request_model="gpt-4", + response_model="gpt-4", + ) + set_data_attributes(traced, mock_span) + + assert GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS in mock_span._attrs + reasons = mock_span._attrs[GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS] + assert "tool_calls" in reasons or "tool_call" in reasons + + +# --------------------------------------------------------------------------- +# P1-3: Responses API must support gen_ai.input/output.messages JSON path +# --------------------------------------------------------------------------- + +class TestP1_3_ResponsesMessagesAttributes: + """When Config.use_messages_attributes is True, set_data_attributes must + emit gen_ai.input.messages / gen_ai.output.messages as JSON.""" + + def test_input_messages_json_when_flag_enabled(self, mock_span): + from opentelemetry.instrumentation.openai.v1.responses_wrappers import ( + set_data_attributes, + TracedData, + ) + + msg = _make_message_output("msg_001", "Hi there") + previous = Config.use_messages_attributes + Config.use_messages_attributes = True + try: + traced = TracedData( + start_time=1000, + response_id="resp_789", + input=[ + {"role": "user", "content": "Hello", "type": "message"}, + ], + instructions="Be helpful", + tools=None, + output_blocks={"msg_001": msg}, + usage=None, + output_text="Hi there", + request_model="gpt-4", + response_model="gpt-4", + ) + set_data_attributes(traced, mock_span) + + assert GenAIAttributes.GEN_AI_INPUT_MESSAGES in mock_span._attrs, ( + f"Expected gen_ai.input.messages when use_messages_attributes=True, " + f"got keys: {list(mock_span._attrs.keys())}" + ) + assert GenAIAttributes.GEN_AI_OUTPUT_MESSAGES in mock_span._attrs, ( + f"Expected gen_ai.output.messages when use_messages_attributes=True, " + f"got keys: {list(mock_span._attrs.keys())}" + ) + + input_msgs = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_INPUT_MESSAGES]) + assert isinstance(input_msgs, list) + + output_msgs = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_OUTPUT_MESSAGES]) + assert isinstance(output_msgs, list) + finally: + Config.use_messages_attributes = previous + + def test_string_input_as_user_message(self, mock_span): + from opentelemetry.instrumentation.openai.v1.responses_wrappers import ( + set_data_attributes, + TracedData, + ) + + msg = _make_message_output("msg_001", "4") + previous = Config.use_messages_attributes + Config.use_messages_attributes = True + try: + traced = TracedData( + start_time=1000, + response_id="resp_str", + input="What is 2+2?", + instructions=None, + tools=None, + output_blocks={"msg_001": msg}, + usage=None, + output_text="4", + request_model="gpt-4", + response_model="gpt-4", + ) + set_data_attributes(traced, mock_span) + + assert GenAIAttributes.GEN_AI_INPUT_MESSAGES in mock_span._attrs + input_msgs = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_INPUT_MESSAGES]) + assert input_msgs[0]["role"] == "user" + finally: + Config.use_messages_attributes = previous + + +# --------------------------------------------------------------------------- +# P1-4: Streaming must accumulate reasoning/thinking blocks +# --------------------------------------------------------------------------- + +class TestP1_4_StreamingReasoningAccumulation: + """_accumulate_stream_items must capture reasoning_content from deltas.""" + + def test_reasoning_content_accumulated(self): + complete_response = {"choices": [], "model": "o3-mini", "id": "cmpl-1"} + + # First chunk: role + item1 = { + "model": "o3-mini", + "id": "cmpl-1", + "choices": [{"index": 0, "delta": {"role": "assistant"}, "finish_reason": None}], + } + _accumulate_stream_items(item1, complete_response) + + # Second chunk: reasoning_content + item2 = { + "model": "o3-mini", + "id": "cmpl-1", + "choices": [{"index": 0, "delta": {"reasoning_content": "Let me think..."}, "finish_reason": None}], + } + _accumulate_stream_items(item2, complete_response) + + # Third chunk: more reasoning + item3 = { + "model": "o3-mini", + "id": "cmpl-1", + "choices": [{"index": 0, "delta": {"reasoning_content": " The answer is 3."}, "finish_reason": None}], + } + _accumulate_stream_items(item3, complete_response) + + # Fourth chunk: regular content + item4 = { + "model": "o3-mini", + "id": "cmpl-1", + "choices": [{"index": 0, "delta": {"content": "There are 3 r's."}, "finish_reason": None}], + } + _accumulate_stream_items(item4, complete_response) + + msg = complete_response["choices"][0]["message"] + assert msg["content"] == "There are 3 r's." + assert msg.get("reasoning_content") == "Let me think... The answer is 3.", ( + f"Expected accumulated reasoning_content, got: {msg}" + ) + + def test_reasoning_content_in_output_messages(self, mock_span): + """When use_messages_attributes is on, reasoning should become a part.""" + previous = Config.use_messages_attributes + Config.use_messages_attributes = True + try: + choices = [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "3 r's", + "reasoning_content": "Let me count...", + }, + "finish_reason": "stop", + } + ] + _set_output_messages(mock_span, choices) + result = _get_output_messages(mock_span) + + parts = result[0]["parts"] + reasoning_parts = [p for p in parts if p.get("type") == "reasoning"] + assert len(reasoning_parts) == 1, ( + f"Expected 1 reasoning part, got parts: {parts}" + ) + assert reasoning_parts[0]["content"] == "Let me count..." + finally: + Config.use_messages_attributes = previous + + +# --------------------------------------------------------------------------- +# P2-1: _map_content_block must distinguish base64 data URIs from URLs +# --------------------------------------------------------------------------- + +class TestP2_1_Base64ImageMapping: + """Base64 inline images should map to BlobPart, not UriPart.""" + + def test_regular_url_maps_to_uri_part(self): + block = {"type": "image_url", "image_url": {"url": "https://example.com/img.png"}} + result = _map_content_block(block) + assert result["type"] == "uri" + assert result["uri"] == "https://example.com/img.png" + + def test_base64_image_maps_to_blob_part(self): + data_uri = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUg..." + block = {"type": "image_url", "image_url": {"url": data_uri}} + result = _map_content_block(block) + assert result["type"] == "blob", ( + f"Expected 'blob' type for base64 data URI, got: {result}" + ) + assert result["modality"] == "image" + assert result["mime_type"] == "image/png" + assert result["content"] == "iVBORw0KGgoAAAANSUhEUg..." + + def test_base64_jpeg_image(self): + data_uri = "data:image/jpeg;base64,/9j/4AAQSkZJRg..." + block = {"type": "image_url", "image_url": {"url": data_uri}} + result = _map_content_block(block) + assert result["type"] == "blob" + assert result["mime_type"] == "image/jpeg" + assert result["content"] == "/9j/4AAQSkZJRg..." + + +# --------------------------------------------------------------------------- +# P2-2: gen_ai.tool.definitions must use JSON when use_messages_attributes +# --------------------------------------------------------------------------- + +class TestP2_2_ToolDefinitionsJson: + """set_tools_attributes and _set_functions_attributes should emit a single + JSON string attribute when Config.use_messages_attributes is True.""" + + def test_tools_as_json_when_flag_enabled(self, mock_span): + previous = Config.use_messages_attributes + Config.use_messages_attributes = True + try: + tools = [ + { + "type": "function", + "function": { + "name": "get_weather", + "description": "Get weather", + "parameters": {"type": "object", "properties": {}}, + }, + } + ] + set_tools_attributes(mock_span, tools) + + assert GenAIAttributes.GEN_AI_TOOL_DEFINITIONS in mock_span._attrs, ( + f"Expected single '{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}' key, " + f"got: {list(mock_span._attrs.keys())}" + ) + parsed = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_TOOL_DEFINITIONS]) + assert isinstance(parsed, list) + assert len(parsed) == 1 + assert parsed[0]["name"] == "get_weather" + finally: + Config.use_messages_attributes = previous + + def test_functions_as_json_when_flag_enabled(self, mock_span): + previous = Config.use_messages_attributes + Config.use_messages_attributes = True + try: + functions = [ + { + "name": "search", + "description": "Search the web", + "parameters": {"type": "object", "properties": {}}, + } + ] + _set_functions_attributes(mock_span, functions) + + assert GenAIAttributes.GEN_AI_TOOL_DEFINITIONS in mock_span._attrs, ( + f"Expected single '{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}' key, " + f"got: {list(mock_span._attrs.keys())}" + ) + parsed = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_TOOL_DEFINITIONS]) + assert isinstance(parsed, list) + assert parsed[0]["name"] == "search" + finally: + Config.use_messages_attributes = previous + + def test_tools_still_indexed_when_flag_disabled(self, mock_span): + """When use_messages_attributes is False, keep indexed format.""" + previous = Config.use_messages_attributes + Config.use_messages_attributes = False + try: + tools = [ + { + "type": "function", + "function": { + "name": "get_weather", + "description": "Get weather", + "parameters": {"type": "object", "properties": {}}, + }, + } + ] + set_tools_attributes(mock_span, tools) + + assert f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.name" in mock_span._attrs + finally: + Config.use_messages_attributes = previous + + +# --------------------------------------------------------------------------- +# P2-3: _set_output_messages must handle refusal content +# --------------------------------------------------------------------------- + +class TestP2_3_OutputRefusal: + """Refusal in output messages should be captured as a refusal part.""" + + def test_refusal_captured_in_output_messages(self, mock_span): + choices = [ + { + "index": 0, + "message": { + "role": "assistant", + "content": None, + "refusal": "I cannot help with that request.", + }, + "finish_reason": "stop", + } + ] + _set_output_messages(mock_span, choices) + result = _get_output_messages(mock_span) + + assert len(result) == 1 + msg = result[0] + refusal_parts = [p for p in msg["parts"] if p.get("type") == "refusal"] + text_with_refusal = [p for p in msg["parts"] + if "cannot help" in (p.get("content") or "")] + assert refusal_parts or text_with_refusal, ( + f"Expected refusal to be captured in output parts, got: {msg['parts']}" + ) + + +# --------------------------------------------------------------------------- +# P2-4: Metrics must map finish reason values correctly +# --------------------------------------------------------------------------- + +class TestP2_4_MetricsFinishReasonMapping: + """Choice counter metrics should use mapped finish reason constant key.""" + + def test_finish_reason_uses_correct_attribute_key(self): + from opentelemetry.instrumentation.openai.shared.chat_wrappers import ( + _set_choice_counter_metrics, + ) + mock_counter = MagicMock() + choices = [ + {"index": 0, "finish_reason": "tool_calls"}, + ] + shared_attrs = {"gen_ai.operation.name": "chat"} + + _set_choice_counter_metrics(mock_counter, choices, shared_attrs) + + calls = mock_counter.add.call_args_list + assert len(calls) > 0, "Expected at least one counter add call" + # The attribute key used should be the mapped key + for call in calls: + attrs = call.kwargs.get("attributes") or call[1].get("attributes", {}) + # Check that finish_reason value is mapped + for key, val in attrs.items(): + if "finish_reason" in key: + assert val != "tool_calls", ( + f"Expected mapped value, got raw 'tool_calls'" + ) + + +# --------------------------------------------------------------------------- +# P2-5: Realtime gen_ai.system_instructions must be parts array JSON +# --------------------------------------------------------------------------- + +class TestP2_5_RealtimeSystemInstructions: + """gen_ai.system_instructions should be JSON parts array, not raw string.""" + + @pytest.mark.asyncio + async def test_system_instructions_as_parts_array(self): + from opentelemetry.instrumentation.openai.v1.realtime_wrappers import ( + RealtimeSessionWrapper, + RealtimeSessionState, + ) + + mock_tracer = MagicMock() + mock_span = MagicMock() + mock_span.is_recording.return_value = True + attrs = {} + mock_span.set_attribute = lambda k, v: attrs.__setitem__(k, v) + + state = RealtimeSessionState(mock_tracer, "gpt-4o-realtime-preview") + state.session_span = mock_span + + mock_session = MagicMock() + mock_session.update = AsyncMock() + + wrapper = RealtimeSessionWrapper(mock_session, state) + await wrapper.update(session={ + "instructions": "You are a helpful assistant.", + }) + + val = attrs.get(GenAIAttributes.GEN_AI_SYSTEM_INSTRUCTIONS) + assert val is not None, "gen_ai.system_instructions should be set" + parsed = json.loads(val) + assert isinstance(parsed, list), ( + f"Expected JSON array, got: {type(parsed)}" + ) + assert parsed[0]["type"] == "text" + assert parsed[0]["content"] == "You are a helpful assistant." + + +# --------------------------------------------------------------------------- +# P3-1: metric_shared_attributes must use constants, not hardcoded strings +# --------------------------------------------------------------------------- + +class TestP3_1_MetricAttributeConstants: + """'server.address' key should use upstream constant.""" + + def test_server_address_uses_constant(self): + attrs = metric_shared_attributes( + response_model="gpt-4", + operation="chat", + server_address="https://api.openai.com/v1/", + ) + assert SERVER_ADDRESS in attrs, ( + f"Expected '{SERVER_ADDRESS}' key (from constant), got: {list(attrs.keys())}" + ) + + +# --------------------------------------------------------------------------- +# P3-2: _map_content_block must wrap unrecognized types +# --------------------------------------------------------------------------- + +class TestP3_2_UnrecognizedBlockWrapping: + """Unrecognized block types should not pass through raw.""" + + def test_unknown_block_type_wrapped(self): + block = {"type": "custom_widget", "data": "something"} + result = _map_content_block(block) + assert result.get("type") == "custom_widget" + assert result != block or "type" in result, ( + "Unrecognized blocks should be wrapped, not passed through raw" + ) From 0593b8056248f156e65ba930652be4693d3e9fda Mon Sep 17 00:00:00 2001 From: Max Deygin Date: Sun, 29 Mar 2026 17:19:49 +0300 Subject: [PATCH 14/22] CR #5 --- .../openai/shared/chat_wrappers.py | 24 +++++++++++++++++++ .../openai/v1/responses_wrappers.py | 6 ++--- 2 files changed, 27 insertions(+), 3 deletions(-) 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 3efa662161..d4b63b1856 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 @@ -444,10 +444,34 @@ async def _process_image_item(item, trace_id, span_id, message_index, content_in @dont_throw async def _set_prompts(span, messages): if Config.use_messages_attributes: + if Config.upload_base64_image and messages: + messages = await _preprocess_base64_images(span, messages) _set_input_messages(span, messages) else: await _legacy_set_prompts(span, messages) + +async def _preprocess_base64_images(span, messages): + """Pre-process messages to upload base64 images before sync attribute setting.""" + import copy + processed = [] + for msg_idx, msg in enumerate(messages): + content = msg.get("content") + if not isinstance(content, list): + processed.append(msg) + continue + new_content = [] + for j, item in enumerate(content): + if _is_base64_image(item): + item = await _process_image_item( + copy.deepcopy(item), + span.context.trace_id, span.context.span_id, + msg_idx, j, + ) + new_content.append(item) + processed.append({**msg, "content": new_content}) + return processed + def _map_content_block(block): """Map an OpenAI content block to an OTel-compliant part.""" if not isinstance(block, dict): diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py index b501d63433..5fed8f98dd 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py @@ -221,17 +221,17 @@ def process_content_block( ) -> dict[str, Any]: block_type = block.get("type") if block_type in ["text", "input_text", "output_text"]: - return {"type": block_type, "text": block.get("text")} + return {"type": "text", "text": block.get("text")} elif block_type in ["image", "input_image", "output_image"]: return { - "type": block_type, + "type": "image", "image_url": block.get("image_url"), "detail": block.get("detail"), "file_id": block.get("file_id"), } elif block_type in ["file", "input_file", "output_file"]: return { - "type": block_type, + "type": "file", "file_id": block.get("file_id"), "filename": block.get("filename"), "file_data": block.get("file_data"), From 29a37d30ffdae9de46d0f88e03d8a325cbfd8abc Mon Sep 17 00:00:00 2001 From: Max Deygin Date: Sun, 29 Mar 2026 18:49:22 +0300 Subject: [PATCH 15/22] lint fixes --- .../tests/traces/test_semconv_compliance.py | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py index 0b77b858f6..6d374b1621 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py @@ -11,11 +11,7 @@ from opentelemetry.semconv._incubating.attributes import ( gen_ai_attributes as GenAIAttributes, ) -from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import ( - GenAiOperationNameValues, -) from opentelemetry.semconv.attributes.server_attributes import SERVER_ADDRESS -from opentelemetry.semconv_ai import SpanAttributes from openai.types.responses import ( ResponseOutputMessage, @@ -506,7 +502,7 @@ def test_finish_reason_uses_correct_attribute_key(self): for key, val in attrs.items(): if "finish_reason" in key: assert val != "tool_calls", ( - f"Expected mapped value, got raw 'tool_calls'" + "Expected mapped value, got raw 'tool_calls'" ) From aa51863a420141b47b19080b666b2137da3bbd4b Mon Sep 17 00:00:00 2001 From: Max Deygin Date: Sun, 29 Mar 2026 19:36:41 +0300 Subject: [PATCH 16/22] Fixed legacy function_call mappings and empty tupples --- .../instrumentation/openai/shared/__init__.py | 1 + .../openai/shared/chat_wrappers.py | 12 +- .../openai/v1/responses_wrappers.py | 8 +- .../tests/traces/test_messages_attributes.py | 4 + .../tests/traces/test_semconv_compliance.py | 131 +++++++++++++++++- 5 files changed, 143 insertions(+), 13 deletions(-) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py index d721d2fa04..375609c279 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py @@ -23,6 +23,7 @@ PROMPT_ERROR = "prompt_error" OPENAI_FINISH_REASON_MAP = { "tool_calls": "tool_call", + "function_call": "tool_call", } _PYDANTIC_VERSION = version("pydantic") 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 d4b63b1856..4e543b40d6 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 @@ -9,6 +9,7 @@ from opentelemetry import context as context_api import pydantic from opentelemetry.instrumentation.openai.shared import ( + OPENAI_FINISH_REASON_MAP, OPENAI_LLM_USAGE_TOKEN_TYPES, _get_openai_base_url, _set_client_attributes, @@ -295,7 +296,7 @@ async def _handle_request(span, kwargs, instance): _set_span_attribute( span, SpanAttributes.GEN_AI_REQUEST_REASONING_EFFORT, - reasoning_effort or () + reasoning_effort, ) @@ -608,10 +609,6 @@ def _set_completions(span, choices): else: _legacy_set_completions(span, choices) -OPENAI_FINISH_REASON_MAP = { - "tool_calls": "tool_call", -} - def _parse_arguments(raw_args): """Best-effort parse of JSON argument string to dict. Falls back to raw string.""" if raw_args is None: @@ -1003,6 +1000,11 @@ def _record_partial_metrics(self): if self._span and self._span.is_recording(): _set_response_attributes(self._span, self._complete_response) + # Set output messages for partial streams (parity with happy path) + if should_send_prompts() and not should_emit_events(): + _set_completions( + self._span, self._complete_response.get("choices")) + # Record partial token metrics if we have any data if self._complete_response.get("choices") or self._request_kwargs: _set_streaming_token_metrics( diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py index 5fed8f98dd..901fddf92f 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py @@ -398,17 +398,17 @@ def set_data_attributes(traced_response: TracedData, span: Span): _set_span_attribute( span, SpanAttributes.GEN_AI_REQUEST_REASONING_SUMMARY, - traced_response.request_reasoning_summary or (), + traced_response.request_reasoning_summary, ) _set_span_attribute( span, SpanAttributes.GEN_AI_REQUEST_REASONING_EFFORT, - traced_response.request_reasoning_effort or (), + traced_response.request_reasoning_effort, ) _set_span_attribute( span, SpanAttributes.GEN_AI_RESPONSE_REASONING_EFFORT, - traced_response.response_reasoning_effort or (), + traced_response.response_reasoning_effort, ) # P1-2: Derive finish_reasons from output blocks @@ -424,7 +424,7 @@ def set_data_attributes(traced_response: TracedData, span: Span): "computer_call", "code_interpreter_call"): has_tool_call = True if has_tool_call: - finish_reasons.append("tool_calls") + finish_reasons.append("tool_call") if finish_reasons: _set_span_attribute( span, diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py index e8851bbfd0..508fff68b7 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py @@ -318,6 +318,10 @@ def test_length_passthrough(self): def test_content_filter_passthrough(self): assert _map_finish_reason("content_filter") == "content_filter" + def test_function_call_mapped_to_tool_call(self): + """Legacy 'function_call' must map to OTel 'tool_call'.""" + assert _map_finish_reason("function_call") == "tool_call" + # --------------------------------------------------------------------------- # P1: Tool call arguments must be parsed objects diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py index 6d374b1621..40f9a95214 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py @@ -5,6 +5,7 @@ """ import json +import time from unittest.mock import MagicMock, AsyncMock import pytest @@ -167,7 +168,9 @@ def test_function_call_has_tool_call_finish_reason(self, mock_span): assert GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS in mock_span._attrs reasons = mock_span._attrs[GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS] - assert "tool_calls" in reasons or "tool_call" in reasons + assert reasons == ("tool_call",), ( + f"Expected exactly ('tool_call',) per OTel spec, got: {reasons}" + ) # --------------------------------------------------------------------------- @@ -498,14 +501,134 @@ def test_finish_reason_uses_correct_attribute_key(self): # The attribute key used should be the mapped key for call in calls: attrs = call.kwargs.get("attributes") or call[1].get("attributes", {}) - # Check that finish_reason value is mapped + # Check that finish_reason value is the OTel canonical value for key, val in attrs.items(): if "finish_reason" in key: - assert val != "tool_calls", ( - "Expected mapped value, got raw 'tool_calls'" + assert val == "tool_call", ( + f"Expected OTel canonical 'tool_call', got '{val}'" ) +# --------------------------------------------------------------------------- +# Reasoning attrs must be ABSENT (not empty tuple) when value is None +# --------------------------------------------------------------------------- + +class TestReasoningAttrsOmittedWhenNone: + """When reasoning fields are None, _set_span_attribute must skip them + entirely — not emit an empty tuple ().""" + + def test_responses_reasoning_attrs_absent_when_none(self, mock_span): + from opentelemetry.instrumentation.openai.v1.responses_wrappers import ( + set_data_attributes, + TracedData, + ) + from opentelemetry.semconv_ai import SpanAttributes + + traced = TracedData( + start_time=1000, + response_id="resp_none", + input="Hi", + instructions=None, + tools=None, + output_blocks={}, + usage=None, + output_text="Hello", + request_model="gpt-4", + response_model="gpt-4", + request_reasoning_summary=None, + request_reasoning_effort=None, + response_reasoning_effort=None, + ) + set_data_attributes(traced, mock_span) + + for attr_name in ( + SpanAttributes.GEN_AI_REQUEST_REASONING_SUMMARY, + SpanAttributes.GEN_AI_REQUEST_REASONING_EFFORT, + SpanAttributes.GEN_AI_RESPONSE_REASONING_EFFORT, + ): + assert attr_name not in mock_span._attrs, ( + f"Attribute '{attr_name}' should be ABSENT when value is None, " + f"but it was set to: {mock_span._attrs.get(attr_name)!r}" + ) + + def test_chat_reasoning_effort_absent_when_none(self, mock_span): + from opentelemetry.instrumentation.openai.shared.chat_wrappers import ( + _handle_request, + ) + from opentelemetry.semconv_ai import SpanAttributes + + # Simulate a request without reasoning_effort + _handle_request(mock_span, {"model": "gpt-4", "messages": []}) + + assert SpanAttributes.GEN_AI_REQUEST_REASONING_EFFORT not in mock_span._attrs, ( + f"Attribute should be ABSENT when reasoning_effort not provided, " + f"but was set to: {mock_span._attrs.get(SpanAttributes.GEN_AI_REQUEST_REASONING_EFFORT)!r}" + ) + + +# --------------------------------------------------------------------------- +# P2-3b: Partial stream cleanup must emit gen_ai.output.messages +# --------------------------------------------------------------------------- + +class TestPartialStreamCleanupOutputMessages: + """ChatStream._ensure_cleanup must call _set_completions so that + gen_ai.output.messages is emitted even on abrupt stream teardown.""" + + def test_ensure_cleanup_sets_output_messages(self, mock_span): + from opentelemetry.instrumentation.openai.shared.chat_wrappers import ( + ChatStream, + _accumulate_stream_items, + ) + + previous_msg = Config.use_messages_attributes + Config.use_messages_attributes = True + try: + # Create a ChatStream with a MagicMock response (ObjectProxy needs a real object) + mock_response = MagicMock() + stream = ChatStream( + span=mock_span, + response=mock_response, + instance=None, + start_time=time.time(), + request_kwargs={"model": "gpt-4"}, + ) + + # Simulate partial accumulation (as if some chunks were received) + _accumulate_stream_items( + { + "model": "gpt-4", + "id": "cmpl-partial", + "choices": [{"index": 0, "delta": {"role": "assistant"}, "finish_reason": None}], + }, + stream._complete_response, + ) + _accumulate_stream_items( + { + "model": "gpt-4", + "id": "cmpl-partial", + "choices": [{"index": 0, "delta": {"content": "Partial answer"}, "finish_reason": None}], + }, + stream._complete_response, + ) + + # Trigger cleanup (simulates GC or abrupt teardown) + stream._ensure_cleanup() + + assert GenAIAttributes.GEN_AI_OUTPUT_MESSAGES in mock_span._attrs, ( + f"Expected gen_ai.output.messages after partial cleanup, " + f"got keys: {list(mock_span._attrs.keys())}" + ) + output_msgs = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_OUTPUT_MESSAGES]) + assert len(output_msgs) > 0 + assert output_msgs[0]["role"] == "assistant" + text_parts = [p for p in output_msgs[0]["parts"] if p.get("type") == "text"] + assert any("Partial answer" in p.get("content", "") for p in text_parts), ( + f"Expected partial content in output messages, got: {output_msgs}" + ) + finally: + Config.use_messages_attributes = previous_msg + + # --------------------------------------------------------------------------- # P2-5: Realtime gen_ai.system_instructions must be parts array JSON # --------------------------------------------------------------------------- From 73d627b8628be5913fb973e6ec3f8bc6a9396e2c Mon Sep 17 00:00:00 2001 From: Oz Ben Simhon Date: Sun, 29 Mar 2026 20:46:09 +0300 Subject: [PATCH 17/22] fix --- .../instrumentation/openai/shared/__init__.py | 12 +++++++ .../openai/shared/chat_wrappers.py | 24 ++++---------- .../openai/shared/completion_wrappers.py | 9 +++-- .../openai/v1/responses_wrappers.py | 33 +++++++++++-------- .../uv.lock | 2 +- 5 files changed, 45 insertions(+), 35 deletions(-) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py index 375609c279..896171e97e 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py @@ -76,6 +76,18 @@ def _set_api_attributes(span): return +def _parse_arguments(raw_args): + """Best-effort parse of a JSON argument string to dict. Falls back to raw string.""" + if raw_args is None: + return None + if isinstance(raw_args, dict): + return raw_args + try: + return json.loads(raw_args) + except (json.JSONDecodeError, TypeError): + return raw_args + + def _build_tool_def_dict(function_dict): """Extract name/description/parameters from a function dict into a tool definition.""" tool_def = {} 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 4e543b40d6..a67f6c32c2 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 @@ -12,6 +12,7 @@ OPENAI_FINISH_REASON_MAP, OPENAI_LLM_USAGE_TOKEN_TYPES, _get_openai_base_url, + _parse_arguments, _set_client_attributes, _set_functions_attributes, _set_request_attributes, @@ -349,7 +350,7 @@ def _handle_response( _set_span_attribute( span, SpanAttributes.GEN_AI_USAGE_REASONING_TOKENS, - reasoning_tokens or 0, + reasoning_tokens, ) if should_emit_events(): @@ -609,17 +610,6 @@ def _set_completions(span, choices): else: _legacy_set_completions(span, choices) -def _parse_arguments(raw_args): - """Best-effort parse of JSON argument string to dict. Falls back to raw string.""" - if raw_args is None: - return None - if isinstance(raw_args, dict): - return raw_args - try: - return json.loads(raw_args) - except (json.JSONDecodeError, TypeError): - return raw_args - def _map_finish_reason(reason): if not reason: return None @@ -650,11 +640,11 @@ def _set_output_messages(span, choices): "id": tool_call["id"], "arguments": _parse_arguments(tool_call["function"].get("arguments")), }) - messages.append({ - "role": "assistant", - "parts": parts, - "finish_reason": _map_finish_reason(choice.get("finish_reason")), - }) + entry = {"role": "assistant", "parts": parts} + fr = _map_finish_reason(choice.get("finish_reason")) + if fr is not None: + entry["finish_reason"] = fr + messages.append(entry) _set_span_attribute(span, GenAIAttributes.GEN_AI_OUTPUT_MESSAGES, json.dumps(messages)) def _legacy_set_completions(span, choices): diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py index 79a1a0f30c..57a94f69c4 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py @@ -207,11 +207,14 @@ def _set_output_messages(span, choices): messages = [] for choice in choices: - messages.append({ + entry = { "role": "assistant", "parts": [{"content": choice.get("text"), "type": "text"}], - "finish_reason": _map_finish_reason(choice.get("finish_reason")), - }) + } + fr = _map_finish_reason(choice.get("finish_reason")) + if fr is not None: + entry["finish_reason"] = fr + messages.append(entry) _set_span_attribute( span, GenAIAttributes.GEN_AI_OUTPUT_MESSAGES, diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py index 901fddf92f..8801c7e9a4 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py @@ -22,6 +22,7 @@ from opentelemetry.instrumentation.openai.shared import ( _build_tool_def_dict, _extract_model_name_from_provider_format, + _parse_arguments, _set_request_attributes, _set_span_attribute, _set_tool_definitions_json, @@ -286,8 +287,16 @@ def _set_responses_json_messages(traced_response: TracedData, span: Span): item_type = item.get("type", "") if item_type in ("text", "input_text", "output_text"): parts.append({"type": "text", "content": item.get("text", "")}) + elif item_type in ("image", "input_image", "output_image"): + if item.get("image_url"): + parts.append({"type": "uri", "modality": "image", "uri": item.get("image_url")}) + elif item.get("file_id"): + parts.append({"type": "file", "modality": "image", "file_id": item.get("file_id")}) + elif item_type in ("file", "input_file", "output_file"): + parts.append({"type": "file", "file_id": item.get("file_id"), "filename": item.get("filename")}) else: - parts.append(item) + # GenericPart for unrecognized types — preserve type, wrap content + parts.append({"type": item_type or "unknown", "content": item}) else: parts.append({"type": "text", "content": str(item)}) input_messages.append({ @@ -301,7 +310,7 @@ def _set_responses_json_messages(traced_response: TracedData, span: Span): "type": "tool_call", "name": block_dict.get("name"), "id": block_dict.get("id") or block_dict.get("call_id"), - "arguments": block_dict.get("arguments", ""), + "arguments": _parse_arguments(block_dict.get("arguments")), }], }) elif block_type == "function_call_output": @@ -330,7 +339,7 @@ def _set_responses_json_messages(traced_response: TracedData, span: Span): "type": "tool_call", "name": block_dict.get("name"), "id": block_dict.get("id"), - "arguments": block_dict.get("arguments", ""), + "arguments": _parse_arguments(block_dict.get("arguments")), }) elif block_type == "reasoning": summary = block_dict.get("summary") @@ -340,9 +349,12 @@ def _set_responses_json_messages(traced_response: TracedData, span: Span): else: parts.append({"type": "reasoning", "content": summary}) if parts: + has_tool_call = any(p.get("type") == "tool_call" for p in parts) + finish_reason = "tool_call" if has_tool_call else "stop" output_messages.append({ "role": "assistant", "parts": parts, + "finish_reason": finish_reason, }) _set_span_attribute(span, GenAIAttributes.GEN_AI_OUTPUT_MESSAGES, json.dumps(output_messages)) @@ -367,9 +379,8 @@ def set_data_attributes(traced_response: TracedData, span: Span): if usage := traced_response.usage: _set_span_attribute(span, GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS, usage.input_tokens) _set_span_attribute(span, GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS, usage.output_tokens) - _set_span_attribute( - span, SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS, usage.total_tokens - ) + _set_span_attribute(span, SpanAttributes.GEN_AI_USAGE_TOTAL_TOKENS, usage.total_tokens) + if usage.input_tokens_details: _set_span_attribute( span, @@ -382,18 +393,12 @@ def set_data_attributes(traced_response: TracedData, span: Span): usage.get("output_tokens_details") if isinstance(usage, dict) else getattr(usage, "output_tokens_details", None) ) - if tokens_details: reasoning_tokens = ( - tokens_details.get("reasoning_tokens", None) if isinstance(tokens_details, dict) + tokens_details.get("reasoning_tokens") if isinstance(tokens_details, dict) else getattr(tokens_details, "reasoning_tokens", None) ) - - _set_span_attribute( - span, - SpanAttributes.GEN_AI_USAGE_REASONING_TOKENS, - reasoning_tokens or 0, - ) + _set_span_attribute(span, SpanAttributes.GEN_AI_USAGE_REASONING_TOKENS, reasoning_tokens) _set_span_attribute( span, diff --git a/packages/opentelemetry-instrumentation-openai/uv.lock b/packages/opentelemetry-instrumentation-openai/uv.lock index 24d8bf6c14..31453dc923 100644 --- a/packages/opentelemetry-instrumentation-openai/uv.lock +++ b/packages/opentelemetry-instrumentation-openai/uv.lock @@ -546,7 +546,7 @@ wheels = [ [[package]] name = "opentelemetry-instrumentation-openai" -version = "0.53.4" +version = "0.54.0" source = { editable = "." } dependencies = [ { name = "opentelemetry-api" }, From 45c8080594a45374695447dfbeee32f0b88ea8c5 Mon Sep 17 00:00:00 2001 From: Oz Ben Simhon Date: Sun, 29 Mar 2026 20:51:11 +0300 Subject: [PATCH 18/22] lint --- .../instrumentation/openai/v1/responses_wrappers.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py index 8801c7e9a4..f8a3a07eb2 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py @@ -293,7 +293,11 @@ def _set_responses_json_messages(traced_response: TracedData, span: Span): elif item.get("file_id"): parts.append({"type": "file", "modality": "image", "file_id": item.get("file_id")}) elif item_type in ("file", "input_file", "output_file"): - parts.append({"type": "file", "file_id": item.get("file_id"), "filename": item.get("filename")}) + parts.append({ + "type": "file", + "file_id": item.get("file_id"), + "filename": item.get("filename"), + }) else: # GenericPart for unrecognized types — preserve type, wrap content parts.append({"type": item_type or "unknown", "content": item}) From 172d4962fcd7bb5b723ef8a2b5c4a78ce8785400 Mon Sep 17 00:00:00 2001 From: Oz Ben Simhon Date: Sun, 29 Mar 2026 21:48:33 +0300 Subject: [PATCH 19/22] delete suport for old spans format by flag --- .../instrumentation/openai/shared/__init__.py | 38 +- .../openai/shared/chat_wrappers.py | 193 ++---- .../openai/shared/completion_wrappers.py | 34 +- .../instrumentation/openai/shared/config.py | 3 - .../openai/v1/assistant_wrappers.py | 90 ++- .../openai/v1/event_handler_wrapper.py | 23 +- .../openai/v1/responses_wrappers.py | 194 +----- .../tests/conftest.py | 12 - .../tests/traces/test_assistant.py | 200 +++--- .../tests/traces/test_azure.py | 57 +- .../tests/traces/test_chat.py | 301 +++------ .../tests/traces/test_chat_parse.py | 58 +- .../tests/traces/test_chat_response_format.py | 20 +- .../tests/traces/test_completions.py | 112 ++-- .../tests/traces/test_functions.py | 195 ++---- .../tests/traces/test_messages_attributes.py | 612 ------------------ .../tests/traces/test_prompt_caching.py | 48 +- .../tests/traces/test_responses.py | 83 ++- .../tests/traces/test_semconv_compliance.py | 348 +++++----- .../tests/traces/test_vision.py | 48 +- .../tests/traces/utils.py | 13 + 21 files changed, 727 insertions(+), 1955 deletions(-) delete mode 100644 packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py index 896171e97e..3d91240621 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py @@ -112,43 +112,19 @@ def _set_functions_attributes(span, functions): if not functions: return - if Config.use_messages_attributes: - tool_defs = [d for f in functions if (d := _build_tool_def_dict(f))] - _set_tool_definitions_json(span, tool_defs) - return - - for i, function in enumerate(functions): - prefix = f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.{i}" - _set_span_attribute(span, f"{prefix}.name", function.get("name")) - _set_span_attribute(span, f"{prefix}.description", function.get("description")) - _set_span_attribute( - span, f"{prefix}.parameters", json.dumps(function.get("parameters")) - ) + tool_defs = [d for f in functions if (d := _build_tool_def_dict(f))] + _set_tool_definitions_json(span, tool_defs) def set_tools_attributes(span, tools): if not tools: return - if Config.use_messages_attributes: - tool_defs = [ - d for tool in tools - if tool.get("function") and (d := _build_tool_def_dict(tool["function"])) - ] - _set_tool_definitions_json(span, tool_defs) - return - - for i, tool in enumerate(tools): - function = tool.get("function") - if not function: - continue - - prefix = f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.{i}" - _set_span_attribute(span, f"{prefix}.name", function.get("name")) - _set_span_attribute(span, f"{prefix}.description", function.get("description")) - _set_span_attribute( - span, f"{prefix}.parameters", json.dumps(function.get("parameters")) - ) + tool_defs = [ + d for tool in tools + if tool.get("function") and (d := _build_tool_def_dict(tool["function"])) + ] + _set_tool_definitions_json(span, tool_defs) def _set_request_attributes(span, kwargs, instance=None): 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 a67f6c32c2..46a5fff605 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 @@ -445,12 +445,9 @@ async def _process_image_item(item, trace_id, span_id, message_index, content_in @dont_throw async def _set_prompts(span, messages): - if Config.use_messages_attributes: - if Config.upload_base64_image and messages: - messages = await _preprocess_base64_images(span, messages) - _set_input_messages(span, messages) - else: - await _legacy_set_prompts(span, messages) + if Config.upload_base64_image and messages: + messages = await _preprocess_base64_images(span, messages) + _set_input_messages(span, messages) async def _preprocess_base64_images(span, messages): @@ -458,6 +455,7 @@ async def _preprocess_base64_images(span, messages): import copy processed = [] for msg_idx, msg in enumerate(messages): + msg = model_as_dict(msg) content = msg.get("content") if not isinstance(content, list): processed.append(msg) @@ -513,6 +511,7 @@ def _set_input_messages(span, messages): attr_messages = [] for msg in messages: + msg = model_as_dict(msg) role = msg.get("role") if role == "tool": tool_call_id = msg.get("tool_call_id") @@ -552,63 +551,8 @@ def _set_input_messages(span, messages): }) _set_span_attribute(span, GenAIAttributes.GEN_AI_INPUT_MESSAGES, json.dumps(attr_messages)) -async def _legacy_set_prompts(span, messages): - if not span.is_recording() or messages is None: - return - - for i, msg in enumerate(messages): - prefix = f"{GenAIAttributes.GEN_AI_PROMPT}.{i}" - msg = msg if isinstance(msg, dict) else model_as_dict(msg) - - _set_span_attribute(span, f"{prefix}.role", msg.get("role")) - if msg.get("content"): - content = copy.deepcopy(msg.get("content")) - if isinstance(content, list): - content = [ - ( - await _process_image_item( - item, span.context.trace_id, span.context.span_id, i, j - ) - if _is_base64_image(item) - else item - ) - for j, item in enumerate(content) - ] - - content = json.dumps(content) - _set_span_attribute(span, f"{prefix}.content", content) - if msg.get("tool_call_id"): - _set_span_attribute( - span, f"{prefix}.tool_call_id", msg.get("tool_call_id")) - tool_calls = msg.get("tool_calls") - if tool_calls: - for i, tool_call in enumerate(tool_calls): - if is_openai_v1(): - tool_call = model_as_dict(tool_call) - - function = tool_call.get("function") - _set_span_attribute( - span, - f"{prefix}.tool_calls.{i}.id", - tool_call.get("id"), - ) - _set_span_attribute( - span, - f"{prefix}.tool_calls.{i}.name", - function.get("name"), - ) - _set_span_attribute( - span, - f"{prefix}.tool_calls.{i}.arguments", - function.get("arguments"), - ) - - def _set_completions(span, choices): - if Config.use_messages_attributes: - _set_output_messages(span, choices) - else: - _legacy_set_completions(span, choices) + _set_output_messages(span, choices) def _map_finish_reason(reason): if not reason: @@ -622,100 +566,53 @@ def _set_output_messages(span, choices): messages = [] for choice in choices: message = choice.get("message") - if not message: + content_filter_results = choice.get("content_filter_results") + if not message and not content_filter_results: continue - content = message.get("content") - parts = _map_content_parts(content) - refusal = message.get("refusal") - if refusal: - parts.append({"type": "refusal", "content": refusal}) - reasoning_content = message.get("reasoning_content") - if reasoning_content: - parts.append({"type": "reasoning", "content": reasoning_content}) - tool_calls = _parse_tool_calls(message.get("tool_calls")) or [] - for tool_call in tool_calls: - parts.append({ - "type": "tool_call", - "name": tool_call["function"]["name"], - "id": tool_call["id"], - "arguments": _parse_arguments(tool_call["function"].get("arguments")), - }) + parts = [] + if message: + content = message.get("content") + parts = _map_content_parts(content) + refusal = message.get("refusal") + if refusal: + parts.append({"type": "refusal", "content": refusal}) + reasoning_content = message.get("reasoning_content") + if reasoning_content: + parts.append({"type": "reasoning", "content": reasoning_content}) + tool_calls = _parse_tool_calls(message.get("tool_calls")) or [] + for tool_call in tool_calls: + parts.append({ + "type": "tool_call", + "name": tool_call["function"]["name"], + "id": tool_call["id"], + "arguments": _parse_arguments(tool_call["function"].get("arguments")), + }) + # Handle legacy function_call API (not tool_calls) + function_call = message.get("function_call") + if function_call: + if isinstance(function_call, dict): + fc_name = function_call.get("name") + fc_args = function_call.get("arguments") + else: + # pydantic model + fc_dict = model_as_dict(function_call) + fc_name = fc_dict.get("name") + fc_args = fc_dict.get("arguments") + parts.append({ + "type": "tool_call", + "name": fc_name, + "id": "", + "arguments": _parse_arguments(fc_args), + }) entry = {"role": "assistant", "parts": parts} fr = _map_finish_reason(choice.get("finish_reason")) if fr is not None: entry["finish_reason"] = fr + if content_filter_results: + entry["content_filter_results"] = content_filter_results messages.append(entry) _set_span_attribute(span, GenAIAttributes.GEN_AI_OUTPUT_MESSAGES, json.dumps(messages)) -def _legacy_set_completions(span, choices): - if not span.is_recording() or choices is None: - return - - for choice in choices: - index = choice.get("index") - prefix = f"{GenAIAttributes.GEN_AI_COMPLETION}.{index}" - _set_span_attribute( - span, f"{prefix}.finish_reason", choice.get("finish_reason") - ) - - if choice.get("content_filter_results"): - _set_span_attribute( - span, - f"{prefix}.{CONTENT_FILTER_KEY}", - json.dumps(choice.get("content_filter_results")), - ) - - if choice.get("finish_reason") == "content_filter": - _set_span_attribute(span, f"{prefix}.role", "assistant") - _set_span_attribute(span, f"{prefix}.content", "FILTERED") - - return - - message = choice.get("message") - if not message: - return - - _set_span_attribute(span, f"{prefix}.role", message.get("role")) - - 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: - _set_span_attribute( - span, f"{prefix}.tool_calls.0.name", function_call.get("name") - ) - _set_span_attribute( - span, - f"{prefix}.tool_calls.0.arguments", - function_call.get("arguments"), - ) - - tool_calls = message.get("tool_calls") - if tool_calls: - for i, tool_call in enumerate(tool_calls): - function = tool_call.get("function") - _set_span_attribute( - span, - f"{prefix}.tool_calls.{i}.id", - tool_call.get("id"), - ) - _set_span_attribute( - span, - f"{prefix}.tool_calls.{i}.name", - function.get("name"), - ) - _set_span_attribute( - span, - f"{prefix}.tool_calls.{i}.arguments", - function.get("arguments"), - ) - - @dont_throw def _set_streaming_token_metrics( request_kwargs, complete_response, span, token_counter, shared_attributes diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py index 57a94f69c4..48552ed802 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py @@ -161,10 +161,7 @@ def _handle_response(response, span, instance=None): def _set_prompts(span, prompt): - if Config.use_messages_attributes: - _set_input_messages(span, prompt) - else: - _legacy_set_prompts(span, prompt) + _set_input_messages(span, prompt) def _set_input_messages(span, prompt): if not span.is_recording() or prompt is None: @@ -182,23 +179,9 @@ def _set_input_messages(span, prompt): json.dumps(messages), ) -def _legacy_set_prompts(span, prompt): - if not span.is_recording() or not prompt: - return - - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.0.user", - prompt[0] if isinstance(prompt, list) else prompt, - ) - - @dont_throw def _set_completions(span, choices): - if Config.use_messages_attributes: - _set_output_messages(span, choices) - else: - _legacy_set_completions(span, choices) + _set_output_messages(span, choices) def _set_output_messages(span, choices): @@ -222,19 +205,6 @@ def _set_output_messages(span, choices): ) -def _legacy_set_completions(span, choices): - if not span.is_recording() or not choices: - return - - for choice in choices: - index = choice.get("index") - prefix = f"{GenAIAttributes.GEN_AI_COMPLETION}.{index}" - _set_span_attribute( - span, f"{prefix}.finish_reason", choice.get("finish_reason") - ) - _set_span_attribute(span, f"{prefix}.content", choice.get("text")) - - @dont_throw def _build_from_streaming_response(span, request_kwargs, response): complete_response = {"choices": [], "model": "", "id": ""} diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/config.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/config.py index d80dabc0a0..088a9a8f8a 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/config.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/config.py @@ -12,7 +12,4 @@ class Config: ) enable_trace_context_propagation: bool = True use_legacy_attributes = True - # Whether to report inputs and outputs as `gen_ai.input.messages` - # and `gen_ai.output.messages` attributes. - use_messages_attributes = False event_logger: Optional[Logger] = None diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py index 3846ddb941..43ff6e281d 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py @@ -1,3 +1,4 @@ +import json import logging import time @@ -141,7 +142,9 @@ def messages_list_wrapper(tracer, wrapped, instance, args, kwargs): span.end() return response - prompt_index = 0 + input_msgs = [] + output_msgs = [] + completion_index = 0 if assistants.get(run["assistant_id"]) is not None or Config.enrich_assistant: if Config.enrich_assistant: assistant = model_as_dict( @@ -169,49 +172,31 @@ def messages_list_wrapper(tracer, wrapped, instance, args, kwargs): if should_emit_events(): emit_event(MessageEvent(content=assistant["instructions"], role="system")) else: - _set_span_attribute( - span, f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.role", "system" - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.content", - assistant["instructions"], - ) - prompt_index += 1 - _set_span_attribute( - span, f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.role", "system" - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.content", - run["instructions"], - ) + input_msgs.append({ + "role": "system", + "parts": [{"type": "text", "content": assistant["instructions"]}], + }) + if should_emit_events(): emit_event(MessageEvent(content=run["instructions"], role="system")) - prompt_index += 1 + else: + input_msgs.append({ + "role": "system", + "parts": [{"type": "text", "content": run["instructions"]}], + }) - completion_index = 0 for msg in messages: - prefix = f"{GenAIAttributes.GEN_AI_COMPLETION}.{completion_index}" content = msg.get("content") - message_content = content[0].get("text").get("value") message_role = msg.get("role") if message_role in ["user", "system"]: if should_emit_events(): emit_event(MessageEvent(content=message_content, role=message_role)) else: - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.role", - message_role, - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.content", - message_content, - ) - prompt_index += 1 + input_msgs.append({ + "role": message_role, + "parts": [{"type": "text", "content": message_content}], + }) else: if should_emit_events(): emit_event( @@ -221,13 +206,25 @@ def messages_list_wrapper(tracer, wrapped, instance, args, kwargs): ) ) else: - _set_span_attribute(span, f"{prefix}.role", msg.get("role")) - _set_span_attribute(span, f"{prefix}.content", message_content) + output_msgs.append({ + "role": message_role, + "parts": [{"type": "text", "content": message_content}], + }) _set_span_attribute( span, f"gen_ai.response.{completion_index}.id", msg.get("id") ) completion_index += 1 + if not should_emit_events(): + if input_msgs: + _set_span_attribute( + span, GenAIAttributes.GEN_AI_INPUT_MESSAGES, json.dumps(input_msgs) + ) + if output_msgs: + _set_span_attribute( + span, GenAIAttributes.GEN_AI_OUTPUT_MESSAGES, json.dumps(output_msgs) + ) + if run.get("usage"): usage_dict = model_as_dict(run.get("usage")) _set_span_attribute( @@ -262,7 +259,7 @@ def runs_create_and_stream_wrapper(tracer, wrapped, instance, args, kwargs): # Use the span as current context to ensure events get proper trace context with trace.use_span(span, end_on_exit=False): - i = 0 + input_msgs = [] if assistants.get(assistant_id) is not None or Config.enrich_assistant: if Config.enrich_assistant: assistant = model_as_dict( @@ -292,21 +289,20 @@ def runs_create_and_stream_wrapper(tracer, wrapped, instance, args, kwargs): ) ) else: - _set_span_attribute( - span, f"{GenAIAttributes.GEN_AI_PROMPT}.{i}.role", "system" - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.{i}.content", - assistants[assistant_id]["instructions"], - ) - i += 1 + input_msgs.append({ + "role": "system", + "parts": [{"type": "text", "content": assistants[assistant_id]["instructions"]}], + }) if should_emit_events(): emit_event(MessageEvent(content=instructions, role="system")) else: - _set_span_attribute(span, f"{GenAIAttributes.GEN_AI_PROMPT}.{i}.role", "system") + input_msgs.append({ + "role": "system", + "parts": [{"type": "text", "content": instructions}], + }) + if not should_emit_events() and input_msgs: _set_span_attribute( - span, f"{GenAIAttributes.GEN_AI_PROMPT}.{i}.content", instructions + span, GenAIAttributes.GEN_AI_INPUT_MESSAGES, json.dumps(input_msgs) ) from opentelemetry.instrumentation.openai.v1.event_handler_wrapper import ( diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/event_handler_wrapper.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/event_handler_wrapper.py index 7b58b21a8e..1eb9acc173 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/event_handler_wrapper.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/event_handler_wrapper.py @@ -1,3 +1,5 @@ +import json + from opentelemetry.instrumentation.openai.shared import _set_span_attribute from opentelemetry.instrumentation.openai.shared.event_emitter import emit_event from opentelemetry.instrumentation.openai.shared.event_models import ChoiceEvent @@ -21,6 +23,7 @@ def __init__(self, original_handler, span): super().__init__() self._original_handler = original_handler self._span = span + self._output_messages = [] @override def on_end(self): @@ -34,6 +37,12 @@ def on_end(self): GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS, self._completion_tokens, ) + if not should_emit_events() and self._output_messages: + _set_span_attribute( + self._span, + GenAIAttributes.GEN_AI_OUTPUT_MESSAGES, + json.dumps(self._output_messages), + ) self._original_handler.on_end() self._span.end() @@ -118,16 +127,10 @@ def on_text_delta(self, delta, snapshot): def on_text_done(self, text): self._original_handler.on_text_done(text) if not should_emit_events(): - _set_span_attribute( - self._span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.{self._current_text_index}.role", - "assistant", - ) - _set_span_attribute( - self._span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.{self._current_text_index}.content", - text.value, - ) + self._output_messages.append({ + "role": "assistant", + "parts": [{"type": "text", "content": text.value}], + }) @override def on_image_file_done(self, image_file): diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py index f8a3a07eb2..b503d5e4b5 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py @@ -28,7 +28,7 @@ _set_tool_definitions_json, model_as_dict, ) -from opentelemetry.instrumentation.openai.shared.config import Config + from opentelemetry.instrumentation.openai.utils import ( _with_tracer_wrapper, dont_throw, @@ -256,8 +256,7 @@ def prepare_kwargs_for_shared_attributes(kwargs): def _set_responses_json_messages(traced_response: TracedData, span: Span): - """Set gen_ai.input.messages and gen_ai.output.messages as JSON when - Config.use_messages_attributes is True.""" + """Set gen_ai.input.messages and gen_ai.output.messages as JSON.""" # Build input messages input_messages = [] if traced_response.instructions: @@ -441,195 +440,8 @@ def set_data_attributes(traced_response: TracedData, span: Span): tuple(finish_reasons), ) - if should_send_prompts() and Config.use_messages_attributes: - _set_responses_json_messages(traced_response, span) - return - if should_send_prompts(): - prompt_index = 0 - if traced_response.tools: - for i, tool_param in enumerate(traced_response.tools): - tool_dict = model_as_dict(tool_param) - description = tool_dict.get("description") - parameters = tool_dict.get("parameters") - name = tool_dict.get("name") - if parameters is None: - continue - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.{i}.description", - description, - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.{i}.parameters", - json.dumps(parameters), - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.{i}.name", - name, - ) - if traced_response.instructions: - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.content", - traced_response.instructions, - ) - _set_span_attribute(span, f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.role", "system") - prompt_index += 1 - - if isinstance(traced_response.input, str): - _set_span_attribute( - span, f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.content", traced_response.input - ) - _set_span_attribute(span, f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.role", "user") - prompt_index += 1 - else: - for block in traced_response.input: - block_dict = model_as_dict(block) - if block_dict.get("type", "message") == "message": - content = block_dict.get("content") - if is_validator_iterator(content): - # we're after the actual call here, so we can consume the iterator - content = [process_content_block(block) for block in content] - try: - stringified_content = ( - content if isinstance(content, str) else json.dumps(content) - ) - except Exception: - stringified_content = ( - str(content) if content is not None else "" - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.content", - stringified_content, - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.role", - block_dict.get("role"), - ) - prompt_index += 1 - elif block_dict.get("type") == "computer_call_output": - _set_span_attribute( - span, f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.role", "computer-call" - ) - output_image_url = block_dict.get("output", {}).get("image_url") - if output_image_url: - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.content", - json.dumps( - [ - { - "type": "image_url", - "image_url": {"url": output_image_url}, - } - ] - ), - ) - prompt_index += 1 - elif block_dict.get("type") == "computer_call": - _set_span_attribute( - span, f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.role", "assistant" - ) - call_content = {} - if block_dict.get("id"): - call_content["id"] = block_dict.get("id") - if block_dict.get("call_id"): - call_content["call_id"] = block_dict.get("call_id") - if block_dict.get("action"): - call_content["action"] = block_dict.get("action") - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.{prompt_index}.content", - json.dumps(call_content), - ) - prompt_index += 1 - # TODO: handle other block types - - _set_span_attribute(span, f"{GenAIAttributes.GEN_AI_COMPLETION}.0.role", "assistant") - if traced_response.output_text: - _set_span_attribute( - span, f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content", traced_response.output_text - ) - tool_call_index = 0 - for block in traced_response.output_blocks.values(): - block_dict = model_as_dict(block) - if block_dict.get("type") == "message": - # either a refusal or handled in output_text above - continue - if block_dict.get("type") == "function_call": - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{tool_call_index}.id", - block_dict.get("id"), - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{tool_call_index}.name", - block_dict.get("name"), - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{tool_call_index}.arguments", - block_dict.get("arguments"), - ) - tool_call_index += 1 - elif block_dict.get("type") == "file_search_call": - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{tool_call_index}.id", - block_dict.get("id"), - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{tool_call_index}.name", - "file_search_call", - ) - tool_call_index += 1 - elif block_dict.get("type") == "web_search_call": - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{tool_call_index}.id", - block_dict.get("id"), - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{tool_call_index}.name", - "web_search_call", - ) - tool_call_index += 1 - elif block_dict.get("type") == "computer_call": - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{tool_call_index}.id", - block_dict.get("call_id"), - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{tool_call_index}.name", - "computer_call", - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{tool_call_index}.arguments", - json.dumps(block_dict.get("action")), - ) - tool_call_index += 1 - elif block_dict.get("type") == "reasoning": - reasoning_summary = block_dict.get("summary") - if reasoning_summary is not None and reasoning_summary != []: - if isinstance(reasoning_summary, (dict, list)): - reasoning_value = json.dumps(reasoning_summary) - else: - reasoning_value = reasoning_summary - _set_span_attribute( - span, f"{GenAIAttributes.GEN_AI_COMPLETION}.0.reasoning", reasoning_value - ) - # TODO: handle other block types, in particular other calls + _set_responses_json_messages(traced_response, span) @dont_throw diff --git a/packages/opentelemetry-instrumentation-openai/tests/conftest.py b/packages/opentelemetry-instrumentation-openai/tests/conftest.py index 6a976f1e18..cde4894c0c 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/conftest.py +++ b/packages/opentelemetry-instrumentation-openai/tests/conftest.py @@ -189,18 +189,6 @@ def instrument_with_no_content( instrumentor.uninstrument() -@pytest.fixture(scope="function") -def instrument_with_messages_attributes( - instrument_legacy, reader, tracer_provider, logger_provider, meter_provider -): - instrumentor = instrument_legacy - previous = Config.use_messages_attributes - Config.use_messages_attributes = True - - yield instrumentor - - Config.use_messages_attributes = previous - @pytest.fixture(autouse=True) def clear_exporter(span_exporter): diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py index 8b2226a80a..aa9f789d8d 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py @@ -6,6 +6,8 @@ ) from typing_extensions import override +from .utils import get_input_messages, get_output_messages + @pytest.fixture def assistant(openai_client): @@ -64,46 +66,32 @@ def test_new_assistant( open_ai_span.attributes[GenAIAttributes.GEN_AI_RESPONSE_MODEL] == "gpt-4-turbo-preview" ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "You are a personal math tutor. Write and run code to answer math questions." + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "system" + assert input_messages[0]["parts"][0]["content"] == ( + "You are a personal math tutor." + " Write and run code to answer math questions." ) - assert open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.role"] == "system" - assert ( - open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_PROMPT}.1.content") - == "Please address the user as Jane Doe. The user has a premium account." - ) - assert open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.role"] == "system" - assert open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.2.role"] == "user" - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.2.content"] - == user_message + assert input_messages[1]["role"] == "system" + assert input_messages[1]["parts"][0]["content"] == ( + "Please address the user as Jane Doe." + " The user has a premium account." ) + assert input_messages[2]["role"] == "user" + assert input_messages[2]["parts"][0]["content"] == user_message assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 155 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 145 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" - completion_index = 0 - for message in messages.data: - if message.role in ["user", "system"]: - continue - assert ( - open_ai_span.attributes[ - f"{GenAIAttributes.GEN_AI_COMPLETION}.{completion_index}.content" - ] - == message.content[0].text.value - ) - assert ( - open_ai_span.attributes[ - f"{GenAIAttributes.GEN_AI_COMPLETION}.{completion_index}.role" - ] - == message.role - ) + output_messages = get_output_messages(open_ai_span) + assistant_messages = [m for m in messages.data if m.role not in ["user", "system"]] + for idx, message in enumerate(assistant_messages): + assert output_messages[idx]["role"] == message.role + assert output_messages[idx]["parts"][0]["content"] == message.content[0].text.value assert ( - open_ai_span.attributes[f"gen_ai.response.{completion_index}.id"] + open_ai_span.attributes[f"gen_ai.response.{idx}.id"] == message.id ) - completion_index += 1 logs = log_exporter.get_finished_logs() assert ( @@ -300,43 +288,32 @@ def test_new_assistant_with_polling( assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert open_ai_span.attributes["gen_ai.request.model"] == "gpt-4-turbo-preview" assert open_ai_span.attributes["gen_ai.response.model"] == "gpt-4-turbo-preview" - assert ( - open_ai_span.attributes["gen_ai.prompt.0.content"] - == "You are a personal math tutor. Write and run code to answer math questions." - ) - assert open_ai_span.attributes["gen_ai.prompt.0.role"] == "system" - assert ( - open_ai_span.attributes.get("gen_ai.prompt.1.content") - == "Please address the user as Jane Doe. The user has a premium account." - ) - assert open_ai_span.attributes["gen_ai.prompt.1.role"] == "system" - assert open_ai_span.attributes["gen_ai.prompt.2.role"] == "user" - assert open_ai_span.attributes["gen_ai.prompt.2.content"] == user_message + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "system" + assert input_messages[0]["parts"][0]["content"] == ( + "You are a personal math tutor." + " Write and run code to answer math questions." + ) + assert input_messages[1]["role"] == "system" + assert input_messages[1]["parts"][0]["content"] == ( + "Please address the user as Jane Doe." + " The user has a premium account." + ) + assert input_messages[2]["role"] == "user" + assert input_messages[2]["parts"][0]["content"] == user_message assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 86 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 374 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" - completion_index = 0 - for message in messages.data: - if message.role in ["user", "system"]: - continue - assert ( - open_ai_span.attributes[ - f"{GenAIAttributes.GEN_AI_COMPLETION}.{completion_index}.content" - ] - == message.content[0].text.value - ) - assert ( - open_ai_span.attributes[ - f"{GenAIAttributes.GEN_AI_COMPLETION}.{completion_index}.role" - ] - == message.role - ) + output_messages = get_output_messages(open_ai_span) + assistant_messages = [m for m in messages.data if m.role not in ["user", "system"]] + for idx, message in enumerate(assistant_messages): + assert output_messages[idx]["role"] == message.role + assert output_messages[idx]["parts"][0]["content"] == message.content[0].text.value assert ( - open_ai_span.attributes[f"gen_ai.response.{completion_index}.id"] + open_ai_span.attributes[f"gen_ai.response.{idx}.id"] == message.id ) - completion_index += 1 logs = log_exporter.get_finished_logs() assert ( @@ -522,43 +499,32 @@ def test_existing_assistant( open_ai_span.attributes[GenAIAttributes.GEN_AI_RESPONSE_MODEL] == "gpt-4-turbo-preview" ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "You are a personal math tutor. Write and run code to answer math questions." + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "system" + assert input_messages[0]["parts"][0]["content"] == ( + "You are a personal math tutor." + " Write and run code to answer math questions." ) - assert open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.role"] == "system" - assert ( - open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_PROMPT}.1.content") - == "Please address the user as Jane Doe. The user has a premium account." + assert input_messages[1]["role"] == "system" + assert input_messages[1]["parts"][0]["content"] == ( + "Please address the user as Jane Doe." + " The user has a premium account." ) - assert open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.role"] == "system" - assert open_ai_span.attributes["gen_ai.prompt.2.role"] == "user" - assert open_ai_span.attributes["gen_ai.prompt.2.content"] == user_message + assert input_messages[2]["role"] == "user" + assert input_messages[2]["parts"][0]["content"] == user_message assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 170 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 639 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" - completion_index = 0 - for message in messages.data: - if message.role in ["user", "system"]: - continue - assert ( - open_ai_span.attributes[ - f"{GenAIAttributes.GEN_AI_COMPLETION}.{completion_index}.content" - ] - == message.content[0].text.value - ) - assert ( - open_ai_span.attributes[ - f"{GenAIAttributes.GEN_AI_COMPLETION}.{completion_index}.role" - ] - == message.role - ) + output_messages = get_output_messages(open_ai_span) + assistant_messages = [m for m in messages.data if m.role not in ["user", "system"]] + for idx, message in enumerate(assistant_messages): + assert output_messages[idx]["role"] == message.role + assert output_messages[idx]["parts"][0]["content"] == message.content[0].text.value assert ( - open_ai_span.attributes[f"gen_ai.response.{completion_index}.id"] + open_ai_span.attributes[f"gen_ai.response.{idx}.id"] == message.id ) - completion_index += 1 logs = log_exporter.get_finished_logs() assert ( @@ -780,30 +746,26 @@ def on_text_delta(self, delta, snapshot): open_ai_span.attributes[GenAIAttributes.GEN_AI_RESPONSE_MODEL] == "gpt-4-turbo-preview" ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "You are a personal math tutor. Write and run code to answer math questions." + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "system" + assert input_messages[0]["parts"][0]["content"] == ( + "You are a personal math tutor." + " Write and run code to answer math questions." ) - assert open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.role"] == "system" - assert ( - open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_PROMPT}.1.content") - == "Please address the user as Jane Doe. The user has a premium account." + assert input_messages[1]["role"] == "system" + assert input_messages[1]["parts"][0]["content"] == ( + "Please address the user as Jane Doe." + " The user has a premium account." ) - assert open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.role"] == "system" assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 790 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 225 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" + output_messages = get_output_messages(open_ai_span) for idx, message in enumerate(assistant_messages): - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.{idx}.content"] - == message - ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.{idx}.role"] - == "assistant" - ) + assert output_messages[idx]["role"] == "assistant" + assert output_messages[idx]["parts"][0]["content"] == message assert open_ai_span.attributes[f"gen_ai.response.{idx}.id"].startswith("msg") logs = log_exporter.get_finished_logs() @@ -1030,29 +992,25 @@ def on_text_delta(self, delta, snapshot): open_ai_span.attributes[GenAIAttributes.GEN_AI_RESPONSE_MODEL] == "gpt-4-turbo-preview" ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "You are a personal math tutor. Write and run code to answer math questions." + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "system" + assert input_messages[0]["parts"][0]["content"] == ( + "You are a personal math tutor." + " Write and run code to answer math questions." ) - assert open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.role"] == "system" - assert ( - open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_PROMPT}.1.content") - == "Please address the user as Jane Doe. The user has a premium account." + assert input_messages[1]["role"] == "system" + assert input_messages[1]["parts"][0]["content"] == ( + "Please address the user as Jane Doe." + " The user has a premium account." ) - assert open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.role"] == "system" assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 364 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 88 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" + output_messages = get_output_messages(open_ai_span) for idx, message in enumerate(assistant_messages): - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.{idx}.content"] - == message - ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.{idx}.role"] - == "assistant" - ) + assert output_messages[idx]["role"] == "assistant" + assert output_messages[idx]["parts"][0]["content"] == message assert open_ai_span.attributes[f"gen_ai.response.{idx}.id"].startswith("msg_") logs = log_exporter.get_finished_logs() diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py index 0928ba40c6..ab22dec608 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py @@ -8,6 +8,8 @@ ) from opentelemetry.semconv_ai import SpanAttributes +from .utils import get_input_messages, get_output_messages + PROMPT_FILTER_KEY = "prompt_filter_results" PROMPT_ERROR = "prompt_error" @@ -25,11 +27,12 @@ def test_chat(instrument_legacy, span_exporter, log_exporter, azure_openai_clien "openai.chat", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) - assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" @@ -143,14 +146,9 @@ def test_chat_content_filtering( "openai.chat", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) - assert ( - open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") - == "FILTERED" - ) + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" @@ -161,13 +159,10 @@ def test_chat_content_filtering( == "chatcmpl-9HpyGSWv1hoKdGaUaiFhfxzTEVlZo" ) - content_filter_json = open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content_filter_results" - ) - - assert len(content_filter_json) > 0 - - content_filter_results = json.loads(content_filter_json) + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) > 0 + content_filter_results = output_messages[0].get("content_filter_results") + assert content_filter_results is not None assert content_filter_results["hate"]["filtered"] is True assert content_filter_results["hate"]["severity"] == "high" @@ -424,11 +419,12 @@ def test_chat_streaming( "openai.chat", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) - assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" @@ -611,11 +607,12 @@ async def test_chat_async_streaming( ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) - assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://traceloop-stg.openai.azure.com/openai/" diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py index caf9826983..3395aa6f2a 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py @@ -1,5 +1,4 @@ import asyncio -import json from unittest.mock import patch import httpx @@ -15,7 +14,7 @@ from opentelemetry.trace import StatusCode from opentelemetry.instrumentation.openai.utils import is_reasoning_supported -from .utils import assert_request_contains_tracecontext, spy_decorator +from .utils import assert_request_contains_tracecontext, spy_decorator, get_input_messages, get_output_messages @pytest.mark.vcr @@ -32,12 +31,14 @@ def test_chat(instrument_legacy, span_exporter, log_exporter, openai_client): "openai.chat", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) - assert open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert len(input_messages) == 1 + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" + assert output_messages[0]["finish_reason"] == "stop" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" @@ -61,60 +62,6 @@ def test_chat(instrument_legacy, span_exporter, log_exporter, openai_client): ), "Assert that it doesn't emit logs when use_legacy_attributes is True" -@pytest.mark.vcr -def test_chat_with_messages_attributes( - instrument_with_messages_attributes, span_exporter, log_exporter, openai_client -): - openai_client.chat.completions.create( - model="gpt-5-nano", - messages=[{"role": "user", "content": "Tell me a joke about opentelemetry"}], - ) - - spans = span_exporter.get_finished_spans() - - assert [span.name for span in spans] == [ - "openai.chat", - ] - open_ai_span = spans[0] - assert ( - open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) - == "https://api.openai.com/v1/" - ) - assert open_ai_span.attributes.get( - SpanAttributes.GEN_AI_IS_STREAMING) is False - assert ( - open_ai_span.attributes.get("gen_ai.response.id") - == "chatcmpl-D9X7ymcBweNWeadgkGyG69kVYY16t" - ) - - logs = log_exporter.get_finished_logs() - assert ( - len(logs) == 0 - ), "Assert that it doesn't emit logs when use_legacy_attributes is True" - # Validate input messages shape - input_messages = json.loads(open_ai_span.attributes.get("gen_ai.input.messages")) - assert len(input_messages) == 1 - assert input_messages[0]["role"] == "user" - assert len(input_messages[0]["parts"]) == 1 - assert input_messages[0]["parts"][0]["type"] == "text" - assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" - - # Validate output messages shape - output_messages = json.loads(open_ai_span.attributes.get("gen_ai.output.messages")) - assert len(output_messages) == 1 - assert output_messages[0]["role"] == "assistant" - assert output_messages[0]["finish_reason"] == "stop" - assert len(output_messages[0]["parts"]) >= 1 - assert output_messages[0]["parts"][0]["type"] == "text" - assert "content" in output_messages[0]["parts"][0] - - # Legacy prompt/completion attributes must NOT be present alongside new format - assert not any( - k.startswith("gen_ai.prompt.") or k.startswith("gen_ai.completion.") - for k in open_ai_span.attributes.keys() - ), "Legacy gen_ai.prompt.*/gen_ai.completion.* should not be emitted with use_messages_attributes" - - @pytest.mark.vcr def test_chat_with_events_with_content( instrument_with_content, span_exporter, log_exporter, openai_client @@ -248,25 +195,19 @@ def test_chat_tool_calls(instrument_legacy, span_exporter, log_exporter, openai_ "openai.chat", ] open_ai_span = spans[0] - assert f"{GenAIAttributes.GEN_AI_PROMPT}.0.content" not in open_ai_span.attributes - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.tool_calls.0.name"] - == "get_current_weather" - ) - assert ( - open_ai_span.attributes[ - f"{GenAIAttributes.GEN_AI_PROMPT}.0.tool_calls.0.arguments" - ] - == '{"location": "San Francisco"}' - ) - - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.content"] - == "The weather in San Francisco is 70 degrees and sunny." - ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.tool_call_id"] == "1" - ) + input_messages = get_input_messages(open_ai_span) + assert len(input_messages) == 2 + # assistant message with tool call + assert input_messages[0]["role"] == "assistant" + tool_parts = [p for p in input_messages[0]["parts"] if p["type"] == "tool_call"] + assert len(tool_parts) == 1 + assert tool_parts[0]["name"] == "get_current_weather" + assert tool_parts[0]["arguments"] == {"location": "San Francisco"} + # tool response message + assert input_messages[1]["role"] == "tool" + assert input_messages[1]["parts"][0]["type"] == "tool_call_response" + assert input_messages[1]["parts"][0]["id"] == "1" + assert input_messages[1]["parts"][0]["response"] == "The weather in San Francisco is 70 degrees and sunny." assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9gKNZbUWSC4s2Uh2QfVV7PYiqWIuH" @@ -313,8 +254,6 @@ def test_chat_tool_calls_with_events_with_content( ] open_ai_span = spans[0] - assert f"{GenAIAttributes.GEN_AI_PROMPT}.0.content" not in open_ai_span.attributes - assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9gKNZbUWSC4s2Uh2QfVV7PYiqWIuH" @@ -392,7 +331,6 @@ def test_chat_tool_calls_with_events_with_no_content( ] open_ai_span = spans[0] - assert f"{GenAIAttributes.GEN_AI_PROMPT}.0.content" not in open_ai_span.attributes assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9gKNZbUWSC4s2Uh2QfVV7PYiqWIuH" @@ -466,25 +404,17 @@ def test_chat_pydantic_based_tool_calls( ] open_ai_span = spans[0] - assert f"{GenAIAttributes.GEN_AI_PROMPT}.0.content" not in open_ai_span.attributes - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.tool_calls.0.name"] - == "get_current_weather" - ) - assert ( - open_ai_span.attributes[ - f"{GenAIAttributes.GEN_AI_PROMPT}.0.tool_calls.0.arguments" - ] - == '{"location": "San Francisco"}' - ) - - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.content"] - == "The weather in San Francisco is 70 degrees and sunny." - ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.tool_call_id"] == "1" - ) + input_messages = get_input_messages(open_ai_span) + assert len(input_messages) == 2 + assert input_messages[0]["role"] == "assistant" + tool_parts = [p for p in input_messages[0]["parts"] if p["type"] == "tool_call"] + assert len(tool_parts) == 1 + assert tool_parts[0]["name"] == "get_current_weather" + assert tool_parts[0]["arguments"] == {"location": "San Francisco"} + assert input_messages[1]["role"] == "tool" + assert input_messages[1]["parts"][0]["type"] == "tool_call_response" + assert input_messages[1]["parts"][0]["id"] == "1" + assert input_messages[1]["parts"][0]["response"] == "The weather in San Francisco is 70 degrees and sunny." assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9lvGJKrBUPeJjHi3KKSEbGfcfomOP" @@ -539,7 +469,6 @@ def test_chat_pydantic_based_tool_calls_with_events_with_content( ] open_ai_span = spans[0] - assert f"{GenAIAttributes.GEN_AI_PROMPT}.0.content" not in open_ai_span.attributes assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9lvGJKrBUPeJjHi3KKSEbGfcfomOP" @@ -625,7 +554,6 @@ def test_chat_pydantic_based_tool_calls_with_events_with_no_content( ] open_ai_span = spans[0] - assert f"{GenAIAttributes.GEN_AI_PROMPT}.0.content" not in open_ai_span.attributes assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9lvGJKrBUPeJjHi3KKSEbGfcfomOP" @@ -675,12 +603,13 @@ def test_chat_streaming(instrument_legacy, span_exporter, log_exporter, mock_ope "openai.chat", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) - assert open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert len(input_messages) == 1 + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "http://localhost:5002/v1/" @@ -851,11 +780,13 @@ async def test_chat_async_streaming( "openai.chat", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) - assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert len(input_messages) == 1 + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" @@ -1392,7 +1323,7 @@ def assert_message_in_logs(log: ReadableLogRecord, event_name: str, expected_con @pytest.mark.vcr -def test_chat_history_message_dict(span_exporter, openai_client): +def test_chat_history_message_dict(instrument_legacy, span_exporter, openai_client): first_user_message = { "role": "user", "content": "Generate a random noun in Korean. Respond with just that word.", @@ -1423,46 +1354,29 @@ def test_chat_history_message_dict(span_exporter, openai_client): assert len(spans) == 2 first_span = spans[0] assert first_span.name == "openai.chat" - assert ( - first_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == first_user_message["content"] - ) - assert ( - first_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.role"] - == first_user_message["role"] - ) - assert ( - first_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content"] - == first_response.choices[0].message.content - ) - assert ( - first_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.role"] == "assistant" - ) + first_input = get_input_messages(first_span) + assert first_input[0]["role"] == first_user_message["role"] + assert first_input[0]["parts"][0]["content"] == first_user_message["content"] + first_output = get_output_messages(first_span) + assert first_output[0]["role"] == "assistant" + assert first_output[0]["parts"][0]["content"] == first_response.choices[0].message.content second_span = spans[1] assert second_span.name == "openai.chat" - assert ( - second_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == first_user_message["content"] - ) - assert ( - second_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content"] - == second_response.choices[0].message.content - ) - assert ( - second_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.content"] - == first_response.choices[0].message.content - ) - assert second_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.role"] == "assistant" - assert ( - second_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.2.content"] - == second_user_message["content"] - ) - assert second_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.2.role"] == "user" + second_input = get_input_messages(second_span) + assert second_input[0]["role"] == "user" + assert second_input[0]["parts"][0]["content"] == first_user_message["content"] + assert second_input[1]["role"] == "assistant" + assert second_input[1]["parts"][0]["content"] == first_response.choices[0].message.content + assert second_input[2]["role"] == "user" + assert second_input[2]["parts"][0]["content"] == second_user_message["content"] + second_output = get_output_messages(second_span) + assert second_output[0]["role"] == "assistant" + assert second_output[0]["parts"][0]["content"] == second_response.choices[0].message.content @pytest.mark.vcr -def test_chat_history_message_pydantic(span_exporter, openai_client): +def test_chat_history_message_pydantic(instrument_legacy, span_exporter, openai_client): first_user_message = { "role": "user", "content": "Generate a random noun in Korean. Respond with just that word.", @@ -1490,42 +1404,25 @@ def test_chat_history_message_pydantic(span_exporter, openai_client): assert len(spans) == 2 first_span = spans[0] assert first_span.name == "openai.chat" - assert ( - first_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == first_user_message["content"] - ) - assert ( - first_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.role"] - == first_user_message["role"] - ) - assert ( - first_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content"] - == first_response.choices[0].message.content - ) - assert ( - first_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.role"] == "assistant" - ) + first_input = get_input_messages(first_span) + assert first_input[0]["role"] == first_user_message["role"] + assert first_input[0]["parts"][0]["content"] == first_user_message["content"] + first_output = get_output_messages(first_span) + assert first_output[0]["role"] == "assistant" + assert first_output[0]["parts"][0]["content"] == first_response.choices[0].message.content second_span = spans[1] assert second_span.name == "openai.chat" - assert ( - second_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == first_user_message["content"] - ) - assert ( - second_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content"] - == second_response.choices[0].message.content - ) - assert ( - second_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.content"] - == first_response.choices[0].message.content - ) - assert second_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.1.role"] == "assistant" - assert ( - second_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.2.content"] - == second_user_message["content"] - ) - assert second_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.2.role"] == "user" + second_input = get_input_messages(second_span) + assert second_input[0]["role"] == "user" + assert second_input[0]["parts"][0]["content"] == first_user_message["content"] + assert second_input[1]["role"] == "assistant" + assert second_input[1]["parts"][0]["content"] == first_response.choices[0].message.content + assert second_input[2]["role"] == "user" + assert second_input[2]["parts"][0]["content"] == second_user_message["content"] + second_output = get_output_messages(second_span) + assert second_output[0]["role"] == "assistant" + assert second_output[0]["parts"][0]["content"] == second_response.choices[0].message.content @pytest.mark.vcr @@ -1588,10 +1485,9 @@ def test_chat_exception(instrument_legacy, span_exporter, openai_client): "openai.chat", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" @@ -1628,10 +1524,9 @@ async def test_chat_async_exception(instrument_legacy, span_exporter, async_open "openai.chat", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" @@ -1688,10 +1583,9 @@ def test_chat_streaming_not_consumed(instrument_legacy, span_exporter, log_expor assert open_ai_span.attributes.get( GenAIAttributes.GEN_AI_OPERATION_NAME) == "chat" - assert open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_PROMPT}.0.content") == "Tell me a joke about opentelemetry" - assert open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_PROMPT}.0.role") == "user" + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + assert input_messages[0]["role"] == "user" # Verify duration metric was recorded even without consuming the stream metrics_data = reader.get_metrics_data() @@ -1710,9 +1604,18 @@ def test_chat_streaming_not_consumed(instrument_legacy, span_exporter, log_expor assert len(duration_metrics) == 1, "Duration metric should be recorded" duration_metric = duration_metrics[0] - # Verify metric data + # Verify metric data - filter for openai provider data points to avoid cross-test contamination + # (session-scoped reader may contain data points from Azure tests) assert duration_metric.data.data_points - data_point = duration_metric.data.data_points[0] + openai_data_points = [ + dp for dp in duration_metric.data.data_points + if dp.attributes.get("gen_ai.provider.name") == "openai" + ] + assert len(openai_data_points) >= 1, ( + f"Expected at least one openai data point, got data points with attributes: " + f"{[dict(dp.attributes) for dp in duration_metric.data.data_points]}" + ) + data_point = openai_data_points[0] assert data_point.count >= 1, f"Expected count >= 1, got {data_point.count}" assert data_point.sum > 0, f"Duration should be greater than 0, got {data_point.sum}" assert data_point.min > 0, f"Min duration should be greater than 0, got {data_point.min}" @@ -1727,7 +1630,7 @@ def test_chat_streaming_not_consumed(instrument_legacy, span_exporter, log_expor streaming_data_points = [ dp for dp in duration_metric.data.data_points - if dp.attributes.get("stream") is True + if dp.attributes.get("stream") is True and dp.attributes.get("gen_ai.provider.name") == "openai" ] assert len(streaming_data_points) >= 1, ( f"Expected at least one streaming data point, got data points with attributes: " diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_parse.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_parse.py index 7572c679ea..b3fa311b83 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_parse.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_parse.py @@ -9,6 +9,8 @@ from opentelemetry.sdk.trace import Span from opentelemetry.trace import StatusCode +from .utils import get_input_messages, get_output_messages + class StructuredAnswer(BaseModel): rating: int @@ -30,16 +32,17 @@ def test_parsed_completion( "openai.chat", ] open_ai_span = spans[0] - assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is False - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-AGC1gNoe1Zyq9yZicdhLc85lmt2Ep" @@ -161,12 +164,10 @@ def test_parsed_refused_completion( "openai.chat", ] open_ai_span = spans[0] - assert f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content" not in open_ai_span.attributes - assert f"{GenAIAttributes.GEN_AI_COMPLETION}.0.refusal" in open_ai_span.attributes - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.refusal"] - == "I'm very sorry, but I can't assist with that request." - ) + output_messages = get_output_messages(open_ai_span) + refusal_parts = [p for p in output_messages[0]["parts"] if p.get("type") == "refusal"] + assert len(refusal_parts) == 1 + assert refusal_parts[0]["content"] == "I'm very sorry, but I can't assist with that request." assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-AGky8KFDbg6f5fF4qLtsBredIjZZh" @@ -197,7 +198,6 @@ def test_parsed_refused_completion_with_events_with_content( "openai.chat", ] open_ai_span = spans[0] - assert f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content" not in open_ai_span.attributes assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-AGky8KFDbg6f5fF4qLtsBredIjZZh" @@ -240,7 +240,6 @@ def test_parsed_refused_completion_with_events_with_no_content( "openai.chat", ] open_ai_span = spans[0] - assert f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content" not in open_ai_span.attributes assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-AGky8KFDbg6f5fF4qLtsBredIjZZh" @@ -278,16 +277,17 @@ async def test_async_parsed_completion( "openai.chat", ] open_ai_span = spans[0] - assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" ) assert open_ai_span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is False - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-AGC1iysV7rZ0qZ510vbeKVTNxSOHB" @@ -411,12 +411,10 @@ async def test_async_parsed_refused_completion( "openai.chat", ] open_ai_span = spans[0] - assert f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content" not in open_ai_span.attributes - assert f"{GenAIAttributes.GEN_AI_COMPLETION}.0.refusal" in open_ai_span.attributes - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.refusal"] - == "I'm very sorry, but I can't assist with that request." - ) + output_messages = get_output_messages(open_ai_span) + refusal_parts = [p for p in output_messages[0]["parts"] if p.get("type") == "refusal"] + assert len(refusal_parts) == 1 + assert refusal_parts[0]["content"] == "I'm very sorry, but I can't assist with that request." assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-AGkyFJGzZPUGAAEDJJuOS3idKvD3G" @@ -448,7 +446,6 @@ async def test_async_parsed_refused_completion_with_events_with_content( "openai.chat", ] open_ai_span = spans[0] - assert f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content" not in open_ai_span.attributes assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-AGkyFJGzZPUGAAEDJJuOS3idKvD3G" @@ -492,7 +489,6 @@ async def test_async_parsed_refused_completion_with_events_with_no_content( "openai.chat", ] open_ai_span = spans[0] - assert f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content" not in open_ai_span.attributes assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-AGkyFJGzZPUGAAEDJJuOS3idKvD3G" @@ -545,8 +541,9 @@ def test_parsed_completion_exception( assert span.name == "openai.chat" assert span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" assert span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is False - assert span.attributes.get(f"{GenAIAttributes.GEN_AI_PROMPT}.0.content") == "Tell me a joke about opentelemetry" - assert span.attributes.get(f"{GenAIAttributes.GEN_AI_PROMPT}.0.role") == "user" + input_messages = get_input_messages(span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" assert span.status.status_code == StatusCode.ERROR assert span.status.description.startswith("Error code: 401") @@ -580,8 +577,9 @@ async def test_async_parsed_completion_exception( assert span.name == "openai.chat" assert span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" assert span.attributes.get(SpanAttributes.GEN_AI_IS_STREAMING) is False - assert span.attributes.get(f"{GenAIAttributes.GEN_AI_PROMPT}.0.content") == "Tell me a joke about opentelemetry" - assert span.attributes.get(f"{GenAIAttributes.GEN_AI_PROMPT}.0.role") == "user" + input_messages = get_input_messages(span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" assert span.status.status_code == StatusCode.ERROR assert span.status.description.startswith("Error code: 401") diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_response_format.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_response_format.py index 3a77eb92cc..35f70ef67f 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_response_format.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat_response_format.py @@ -6,6 +6,8 @@ import pytest import pydantic +from .utils import get_input_messages, get_output_messages + class Joke(pydantic.BaseModel): joke: str @@ -43,10 +45,11 @@ def test_chat_response_format( assert span.attributes.get("gen_ai.response.model") == "gpt-4.1-nano-2025-04-14" assert json.loads(span.attributes.get("gen_ai.request.structured_output_schema")) == Joke.model_json_schema() - # legacy input and output attributes - assert span.attributes.get("gen_ai.prompt.0.content") == "Tell me a joke about opentelemetry" - assert span.attributes.get("gen_ai.prompt.0.role") == "user" - assert span.attributes.get("gen_ai.completion.0.role") == "assistant" + input_messages = get_input_messages(span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(span) + assert output_messages[0]["role"] == "assistant" @pytest.mark.vcr @@ -81,7 +84,8 @@ async def test_async_chat_response_format( assert span.attributes.get("gen_ai.response.model") == "gpt-4.1-nano-2025-04-14" assert json.loads(span.attributes.get("gen_ai.request.structured_output_schema")) == Joke.model_json_schema() - # legacy input and output attributes - assert span.attributes.get("gen_ai.prompt.0.content") == "Tell me a joke about opentelemetry" - assert span.attributes.get("gen_ai.prompt.0.role") == "user" - assert span.attributes.get("gen_ai.completion.0.role") == "assistant" + input_messages = get_input_messages(span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(span) + assert output_messages[0]["role"] == "assistant" diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py index 7d3870a1b7..0574de076e 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py @@ -1,4 +1,3 @@ -import json from unittest.mock import patch import httpx @@ -10,7 +9,7 @@ from opentelemetry.trace import StatusCode from opentelemetry.semconv_ai import SpanAttributes -from .utils import assert_request_contains_tracecontext, spy_decorator +from .utils import assert_request_contains_tracecontext, spy_decorator, get_input_messages, get_output_messages @pytest.mark.vcr @@ -25,11 +24,13 @@ def test_completion(instrument_legacy, span_exporter, log_exporter, openai_clien "openai.completion", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.user"] - == "Tell me a joke about opentelemetry" - ) - assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert len(input_messages) == 1 + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" @@ -46,43 +47,6 @@ def test_completion(instrument_legacy, span_exporter, log_exporter, openai_clien ), "Assert that it doesn't emit logs when use_legacy_attributes is True" -@pytest.mark.vcr -def test_completion_with_messages_attributes( - instrument_with_messages_attributes, span_exporter, log_exporter, openai_client -): - openai_client.completions.create( - model="davinci-002", - prompt="Tell me a joke about opentelemetry", - ) - - spans = span_exporter.get_finished_spans() - assert [span.name for span in spans] == [ - "openai.completion", - ] - open_ai_span = spans[0] - # Validate input messages shape - input_messages = json.loads(open_ai_span.attributes.get("gen_ai.input.messages")) - assert len(input_messages) == 1 - assert input_messages[0]["role"] == "user" - assert len(input_messages[0]["parts"]) == 1 - assert input_messages[0]["parts"][0]["type"] == "text" - assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" - - # Validate output messages shape - output_messages = json.loads(open_ai_span.attributes.get("gen_ai.output.messages")) - assert len(output_messages) == 1 - assert output_messages[0]["role"] == "assistant" - assert output_messages[0]["finish_reason"] == "length" - assert len(output_messages[0]["parts"]) >= 1 - assert output_messages[0]["parts"][0]["type"] == "text" - assert "content" in output_messages[0]["parts"][0] - - logs = log_exporter.get_finished_logs() - assert ( - len(logs) == 0 - ), "Assert that it doesn't emit logs when use_legacy_attributes is True" - - @pytest.mark.vcr def test_completion_with_events_with_content( instrument_with_content, span_exporter, log_exporter, openai_client @@ -178,11 +142,12 @@ async def test_async_completion( "openai.completion", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.user"] - == "Tell me a joke about opentelemetry" - ) - assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes.get("gen_ai.response.id") == "cmpl-8wq43c8U5ZZCQBX5lrSpsANwcd3OF" @@ -286,11 +251,12 @@ def test_completion_langchain_style( "openai.completion", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.user"] - == "Tell me a joke about opentelemetry" - ) - assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes.get("gen_ai.response.id") == "cmpl-8wq43QD6R2WqfxXLpYsRvSAIn9LB9" @@ -396,13 +362,12 @@ def test_completion_streaming( "openai.completion", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.user"] - == "Tell me a joke about opentelemetry" - ) - assert open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content" - ) + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "http://localhost:5002/v1/" @@ -562,11 +527,12 @@ async def test_async_completion_streaming( "openai.completion", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.user"] - == "Tell me a joke about opentelemetry" - ) - assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes.get(SpanAttributes.GEN_AI_OPENAI_API_BASE) == "https://api.openai.com/v1/" @@ -933,10 +899,9 @@ def test_completion_exception(instrument_legacy, span_exporter, openai_client): "openai.completion", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.user"] - == "Tell me a joke about opentelemetry" - ) + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" assert open_ai_span.status.status_code == StatusCode.ERROR assert open_ai_span.status.description.startswith("Error code: 401") events = open_ai_span.events @@ -965,10 +930,9 @@ async def test_async_completion_exception(instrument_legacy, span_exporter, asyn "openai.completion", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.user"] - == "Tell me a joke about opentelemetry" - ) + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" assert open_ai_span.status.status_code == StatusCode.ERROR assert open_ai_span.status.description.startswith("Error code: 401") events = open_ai_span.events diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_functions.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_functions.py index dcfb7e8b1e..e910e8efc1 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_functions.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_functions.py @@ -5,6 +5,8 @@ ) from opentelemetry.semconv_ai import SpanAttributes +from .utils import get_input_messages, get_output_messages, get_tool_definitions + @pytest.fixture def openai_tools(): @@ -61,22 +63,15 @@ def test_open_ai_function_calls( spans = span_exporter.get_finished_spans() open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "What's the weather like in Boston?" - ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.name"] - == "get_current_weather" - ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.description"] - == "Get the current weather in a given location" - ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.0.name"] - == "get_current_weather" - ) + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "What's the weather like in Boston?" + tool_defs = get_tool_definitions(open_ai_span) + assert tool_defs[0]["name"] == "get_current_weather" + assert tool_defs[0]["description"] == "Get the current weather in a given location" + output_messages = get_output_messages(open_ai_span) + tool_parts = [p for p in output_messages[0]["parts"] if p["type"] == "tool_call"] + assert tool_parts[0]["name"] == "get_current_weather" assert ( open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" @@ -240,26 +235,16 @@ def test_open_ai_function_calls_tools( spans = span_exporter.get_finished_spans() open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "What's the weather like in Boston?" - ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.name"] - == "get_current_weather" - ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.description"] - == "Get the current weather" - ) - assert isinstance( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.0.id"], - str, - ) - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.0.name"] - == "get_current_weather" - ) + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == "What's the weather like in Boston?" + tool_defs = get_tool_definitions(open_ai_span) + assert tool_defs[0]["name"] == "get_current_weather" + assert tool_defs[0]["description"] == "Get the current weather" + output_messages = get_output_messages(open_ai_span) + tool_parts = [p for p in output_messages[0]["parts"] if p["type"] == "tool_call"] + assert isinstance(tool_parts[0]["id"], str) + assert tool_parts[0]["name"] == "get_current_weather" assert ( open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" @@ -392,30 +377,14 @@ async def test_open_ai_function_calls_tools_streaming( spans = span_exporter.get_finished_spans() open_ai_span = spans[0] - assert isinstance( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.0.id"], - str, - ) - assert ( - open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.name") - == "get_current_weather" - ) - assert ( - open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.finish_reason") - == "tool_calls" - ) - assert ( - open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.0.name" - ) - == "get_current_weather" - ) - assert ( - open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.0.arguments" - ) - == '{"location":"San Francisco, CA"}' - ) + tool_defs = get_tool_definitions(open_ai_span) + assert tool_defs[0]["name"] == "get_current_weather" + output_messages = get_output_messages(open_ai_span) + assert output_messages[0]["finish_reason"] == "tool_call" + tool_parts = [p for p in output_messages[0]["parts"] if p["type"] == "tool_call"] + assert isinstance(tool_parts[0]["id"], str) + assert tool_parts[0]["name"] == "get_current_weather" + assert tool_parts[0]["arguments"] == {"location": "San Francisco, CA"} assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9g4TmLd49mPoD6c0EnGlhNAp8b0on" @@ -559,48 +528,17 @@ def test_open_ai_function_calls_tools_parallel( spans = span_exporter.get_finished_spans() open_ai_span = spans[0] - assert ( - open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.name") - == "get_current_weather" - ) - assert ( - open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.finish_reason") - == "tool_calls" - ) - - assert isinstance( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.0.id"], - str, - ) - assert ( - open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.0.name" - ) - == "get_current_weather" - ) - assert ( - open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.0.arguments" - ) - == '{"location": "San Francisco"}' - ) - - assert isinstance( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.1.id"], - str, - ) - assert ( - open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.1.name" - ) - == "get_current_weather" - ) - assert ( - open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.1.arguments" - ) - == '{"location": "Boston"}' - ) + tool_defs = get_tool_definitions(open_ai_span) + assert tool_defs[0]["name"] == "get_current_weather" + output_messages = get_output_messages(open_ai_span) + assert output_messages[0]["finish_reason"] == "tool_call" + tool_parts = [p for p in output_messages[0]["parts"] if p["type"] == "tool_call"] + assert isinstance(tool_parts[0]["id"], str) + assert tool_parts[0]["name"] == "get_current_weather" + assert tool_parts[0]["arguments"] == {"location": "San Francisco"} + assert isinstance(tool_parts[1]["id"], str) + assert tool_parts[1]["name"] == "get_current_weather" + assert tool_parts[1]["arguments"] == {"location": "Boston"} assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9g4cZhrW9CsqihSvXslk0EUtjASsO" @@ -753,48 +691,17 @@ async def test_open_ai_function_calls_tools_streaming_parallel( spans = span_exporter.get_finished_spans() open_ai_span = spans[0] - assert ( - open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.name") - == "get_current_weather" - ) - assert ( - open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.finish_reason") - == "tool_calls" - ) - - assert isinstance( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.0.id"], - str, - ) - assert ( - open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.0.name" - ) - == "get_current_weather" - ) - assert ( - open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.0.arguments" - ) - == '{"location": "San Francisco"}' - ) - - assert isinstance( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.1.id"], - str, - ) - assert ( - open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.1.name" - ) - == "get_current_weather" - ) - assert ( - open_ai_span.attributes.get( - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.1.arguments" - ) - == '{"location": "Boston"}' - ) + tool_defs = get_tool_definitions(open_ai_span) + assert tool_defs[0]["name"] == "get_current_weather" + output_messages = get_output_messages(open_ai_span) + assert output_messages[0]["finish_reason"] == "tool_call" + tool_parts = [p for p in output_messages[0]["parts"] if p["type"] == "tool_call"] + assert isinstance(tool_parts[0]["id"], str) + assert tool_parts[0]["name"] == "get_current_weather" + assert tool_parts[0]["arguments"] == {"location": "San Francisco"} + assert isinstance(tool_parts[1]["id"], str) + assert tool_parts[1]["name"] == "get_current_weather" + assert tool_parts[1]["arguments"] == {"location": "Boston"} assert ( open_ai_span.attributes.get("gen_ai.response.id") == "chatcmpl-9g58noIjRkOeNNxfFsFfcNjhXlul7" diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py deleted file mode 100644 index 508fff68b7..0000000000 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_messages_attributes.py +++ /dev/null @@ -1,612 +0,0 @@ -"""Unit tests for gen_ai.input.messages / gen_ai.output.messages formatting. - -These test the _set_input_messages and _set_output_messages code paths -using mocked spans, without VCR cassettes. -""" - -import json -from unittest.mock import MagicMock - -import pytest -from opentelemetry.semconv._incubating.attributes import ( - gen_ai_attributes as GenAIAttributes, -) -from opentelemetry.semconv_ai import SpanAttributes - -from opentelemetry.instrumentation.openai.shared.chat_wrappers import ( - _set_input_messages, - _set_output_messages, - _map_finish_reason, -) -from opentelemetry.instrumentation.openai.shared.completion_wrappers import ( - _set_input_messages as _set_completion_input_messages, -) -from opentelemetry.instrumentation.openai.shared import ( - _get_vendor_from_url, - _set_request_attributes, - _set_response_attributes, - metric_shared_attributes, -) - - -@pytest.fixture -def mock_span(): - span = MagicMock() - span.is_recording.return_value = True - attrs = {} - - def set_attribute(name, value): - attrs[name] = value - - span.set_attribute = set_attribute - span._attrs = attrs - return span - - -def _get_input_messages(span): - return json.loads(span._attrs[GenAIAttributes.GEN_AI_INPUT_MESSAGES]) - - -def _get_output_messages(span): - return json.loads(span._attrs[GenAIAttributes.GEN_AI_OUTPUT_MESSAGES]) - - -# --------------------------------------------------------------------------- -# Multi-turn input messages (system + user + assistant with tool_calls + tool) -# --------------------------------------------------------------------------- - -class TestSetInputMessages: - def test_multiturn_with_tool_calls(self, mock_span): - messages = [ - {"role": "system", "content": "You are a weather assistant."}, - {"role": "user", "content": "What is the weather in NYC?"}, - { - "role": "assistant", - "content": None, - "tool_calls": [ - { - "id": "call_abc123", - "type": "function", - "function": { - "name": "get_weather", - "arguments": '{"location": "NYC"}', - }, - } - ], - }, - { - "role": "tool", - "tool_call_id": "call_abc123", - "content": '{"temp": 72, "unit": "F"}', - }, - ] - - _set_input_messages(mock_span, messages) - result = _get_input_messages(mock_span) - - assert len(result) == 4 - - # system - assert result[0]["role"] == "system" - assert result[0]["parts"][0]["type"] == "text" - assert result[0]["parts"][0]["content"] == "You are a weather assistant." - - # user - assert result[1]["role"] == "user" - assert result[1]["parts"][0]["content"] == "What is the weather in NYC?" - - # assistant with tool call (content=None → empty parts + tool_call_request) - assert result[2]["role"] == "assistant" - assert any(p["type"] == "tool_call" for p in result[2]["parts"]) - tool_part = next( - p for p in result[2]["parts"] if p["type"] == "tool_call" - ) - assert tool_part["name"] == "get_weather" - assert tool_part["id"] == "call_abc123" - assert tool_part["arguments"] == {"location": "NYC"} - - # tool response - assert result[3]["role"] == "tool" - assert result[3]["parts"][0]["type"] == "tool_call_response" - assert result[3]["parts"][0]["id"] == "call_abc123" - assert result[3]["parts"][0]["response"] == '{"temp": 72, "unit": "F"}' - - def test_user_with_none_content(self, mock_span): - """User message with None content should produce empty parts list.""" - _set_input_messages(mock_span, [{"role": "user", "content": None}]) - result = _get_input_messages(mock_span) - - assert len(result) == 1 - assert result[0]["parts"] == [] - - def test_system_with_none_content(self, mock_span): - """System message with None content should produce empty parts list.""" - _set_input_messages(mock_span, [{"role": "system", "content": None}]) - result = _get_input_messages(mock_span) - - assert len(result) == 1 - assert result[0]["parts"] == [] - - def test_developer_role(self, mock_span): - _set_input_messages(mock_span, [{"role": "developer", "content": "Be concise."}]) - result = _get_input_messages(mock_span) - - assert result[0]["role"] == "developer" - assert result[0]["parts"][0]["content"] == "Be concise." - - def test_none_messages(self, mock_span): - """None messages input should be a no-op.""" - _set_input_messages(mock_span, None) - assert GenAIAttributes.GEN_AI_INPUT_MESSAGES not in mock_span._attrs - - def test_assistant_with_text_and_tool_calls(self, mock_span): - """Assistant message with both text content and tool calls.""" - _set_input_messages(mock_span, [ - { - "role": "assistant", - "content": "Let me check that for you.", - "tool_calls": [ - { - "id": "call_xyz", - "type": "function", - "function": {"name": "lookup", "arguments": "{}"}, - } - ], - } - ]) - result = _get_input_messages(mock_span) - parts = result[0]["parts"] - - text_parts = [p for p in parts if p.get("type") == "text"] - tool_parts = [p for p in parts if p.get("type") == "tool_call"] - assert len(text_parts) == 1 - assert text_parts[0]["content"] == "Let me check that for you." - assert len(tool_parts) == 1 - assert tool_parts[0]["name"] == "lookup" - - -# --------------------------------------------------------------------------- -# Output messages -# --------------------------------------------------------------------------- - -class TestSetOutputMessages: - def test_text_response(self, mock_span): - choices = [ - { - "index": 0, - "message": {"role": "assistant", "content": "Hello!"}, - "finish_reason": "stop", - } - ] - _set_output_messages(mock_span, choices) - result = _get_output_messages(mock_span) - - assert len(result) == 1 - assert result[0]["role"] == "assistant" - assert result[0]["finish_reason"] == "stop" - assert result[0]["parts"][0]["content"] == "Hello!" - assert result[0]["parts"][0]["type"] == "text" - - def test_tool_call_response(self, mock_span): - choices = [ - { - "index": 0, - "message": { - "role": "assistant", - "content": None, - "tool_calls": [ - { - "id": "call_abc", - "type": "function", - "function": { - "name": "get_weather", - "arguments": '{"location": "NYC"}', - }, - } - ], - }, - "finish_reason": "tool_calls", - } - ] - _set_output_messages(mock_span, choices) - result = _get_output_messages(mock_span) - - assert len(result) == 1 - msg = result[0] - assert msg["finish_reason"] == "tool_call" - tool_parts = [p for p in msg["parts"] if p["type"] == "tool_call"] - assert len(tool_parts) == 1 - assert tool_parts[0]["name"] == "get_weather" - assert tool_parts[0]["id"] == "call_abc" - - def test_none_message_in_choice(self, mock_span): - """Choice with message=None should produce empty output array.""" - choices = [ - {"index": 0, "message": None, "finish_reason": "content_filter"}, - ] - _set_output_messages(mock_span, choices) - result = _get_output_messages(mock_span) - assert result == [] - - def test_none_choices(self, mock_span): - """None choices should be a no-op.""" - _set_output_messages(mock_span, None) - assert GenAIAttributes.GEN_AI_OUTPUT_MESSAGES not in mock_span._attrs - - def test_multiple_choices(self, mock_span): - choices = [ - { - "index": 0, - "message": {"role": "assistant", "content": "Answer A"}, - "finish_reason": "stop", - }, - { - "index": 1, - "message": {"role": "assistant", "content": "Answer B"}, - "finish_reason": "stop", - }, - ] - _set_output_messages(mock_span, choices) - result = _get_output_messages(mock_span) - - assert len(result) == 2 - assert result[0]["parts"][0]["content"] == "Answer A" - assert result[1]["parts"][0]["content"] == "Answer B" - - -# --------------------------------------------------------------------------- -# Completion wrappers: _set_input_messages for text completions -# --------------------------------------------------------------------------- - -class TestCompletionInputMessages: - def test_list_prompt_preserves_all_items(self, mock_span): - """Batched prompt list should preserve all items, not collapse to first.""" - prompts = ["First prompt", "Second prompt", "Third prompt"] - _set_completion_input_messages(mock_span, prompts) - result = _get_input_messages(mock_span) - - assert len(result) == 3 - assert result[0]["parts"][0]["content"] == "First prompt" - assert result[1]["parts"][0]["content"] == "Second prompt" - assert result[2]["parts"][0]["content"] == "Third prompt" - - def test_single_string_prompt(self, mock_span): - """Single string prompt should work as a single message.""" - _set_completion_input_messages(mock_span, "Hello world") - result = _get_input_messages(mock_span) - - assert len(result) == 1 - assert result[0]["role"] == "user" - assert result[0]["parts"][0]["content"] == "Hello world" - - def test_empty_string_prompt_is_preserved(self, mock_span): - """Empty string prompt should still be recorded, not dropped.""" - _set_completion_input_messages(mock_span, "") - result = _get_input_messages(mock_span) - - assert len(result) == 1 - assert result[0]["parts"][0]["content"] == "" - - -# --------------------------------------------------------------------------- -# _set_request_attributes: headers / user serialization -# --------------------------------------------------------------------------- - -# --------------------------------------------------------------------------- -# P1: _map_finish_reason -# --------------------------------------------------------------------------- - -class TestMapFinishReason: - def test_none_returns_none(self): - """_map_finish_reason(None) must return None, NOT fabricate 'stop'.""" - assert _map_finish_reason(None) is None - - def test_empty_string_returns_none(self): - """_map_finish_reason('') must return None.""" - assert _map_finish_reason("") is None - - def test_tool_calls_mapped_to_tool_call(self): - """OpenAI 'tool_calls' (plural) must map to OTel 'tool_call' (singular).""" - assert _map_finish_reason("tool_calls") == "tool_call" - - def test_stop_passthrough(self): - assert _map_finish_reason("stop") == "stop" - - def test_length_passthrough(self): - assert _map_finish_reason("length") == "length" - - def test_content_filter_passthrough(self): - assert _map_finish_reason("content_filter") == "content_filter" - - def test_function_call_mapped_to_tool_call(self): - """Legacy 'function_call' must map to OTel 'tool_call'.""" - assert _map_finish_reason("function_call") == "tool_call" - - -# --------------------------------------------------------------------------- -# P1: Tool call arguments must be parsed objects -# --------------------------------------------------------------------------- - -class TestToolCallArgumentsParsed: - def test_input_tool_call_arguments_are_parsed(self, mock_span): - """Tool call arguments in input messages must be parsed dicts, not raw JSON strings.""" - _set_input_messages(mock_span, [ - { - "role": "assistant", - "content": None, - "tool_calls": [ - { - "id": "call_1", - "type": "function", - "function": { - "name": "get_weather", - "arguments": '{"location": "NYC"}', - }, - } - ], - } - ]) - result = _get_input_messages(mock_span) - tool_part = next(p for p in result[0]["parts"] if p["type"] == "tool_call") - # arguments must be a parsed dict, not a raw JSON string - assert isinstance(tool_part["arguments"], dict), ( - f"Expected parsed dict, got {type(tool_part['arguments'])}: {tool_part['arguments']}" - ) - assert tool_part["arguments"] == {"location": "NYC"} - - def test_output_tool_call_arguments_are_parsed(self, mock_span): - """Tool call arguments in output messages must be parsed dicts.""" - choices = [ - { - "index": 0, - "message": { - "role": "assistant", - "content": None, - "tool_calls": [ - { - "id": "call_2", - "type": "function", - "function": { - "name": "search", - "arguments": '{"query": "hello"}', - }, - } - ], - }, - "finish_reason": "tool_calls", - } - ] - _set_output_messages(mock_span, choices) - result = _get_output_messages(mock_span) - tool_part = next(p for p in result[0]["parts"] if p["type"] == "tool_call") - assert isinstance(tool_part["arguments"], dict), ( - f"Expected parsed dict, got {type(tool_part['arguments'])}: {tool_part['arguments']}" - ) - assert tool_part["arguments"] == {"query": "hello"} - - def test_invalid_json_arguments_fallback_to_string(self, mock_span): - """Non-JSON arguments string should fall back to the raw string.""" - _set_input_messages(mock_span, [ - { - "role": "assistant", - "content": None, - "tool_calls": [ - { - "id": "call_3", - "type": "function", - "function": { - "name": "fn", - "arguments": "not valid json", - }, - } - ], - } - ]) - result = _get_input_messages(mock_span) - tool_part = next(p for p in result[0]["parts"] if p["type"] == "tool_call") - assert tool_part["arguments"] == "not valid json" - - -# --------------------------------------------------------------------------- -# P1: Multimodal content blocks mapped to OTel part types -# --------------------------------------------------------------------------- - -class TestMultimodalContentMapping: - def test_user_image_url_mapped_to_uri_part(self, mock_span): - """OpenAI image_url content block must map to OTel uri part.""" - _set_input_messages(mock_span, [ - { - "role": "user", - "content": [ - {"type": "text", "text": "What is in this image?"}, - {"type": "image_url", "image_url": {"url": "https://example.com/img.png"}}, - ], - } - ]) - result = _get_input_messages(mock_span) - parts = result[0]["parts"] - - # text block mapped - text_parts = [p for p in parts if p.get("type") == "text"] - assert len(text_parts) == 1 - assert text_parts[0]["content"] == "What is in this image?" - - # image_url block mapped to uri part - uri_parts = [p for p in parts if p.get("type") == "uri"] - assert len(uri_parts) == 1, f"Expected 1 uri part, got parts: {parts}" - assert uri_parts[0]["uri"] == "https://example.com/img.png" - assert uri_parts[0]["modality"] == "image" - - def test_text_list_content_mapped(self, mock_span): - """List content with text blocks must use 'content' key not 'text' key.""" - _set_input_messages(mock_span, [ - { - "role": "user", - "content": [ - {"type": "text", "text": "Hello"}, - ], - } - ]) - result = _get_input_messages(mock_span) - parts = result[0]["parts"] - assert parts[0]["type"] == "text" - assert parts[0]["content"] == "Hello" - assert "text" not in parts[0] or parts[0].get("type") == "text" # "text" key only for type - - -# --------------------------------------------------------------------------- -# P2: _get_vendor_from_url returns OTel well-known provider name values -# --------------------------------------------------------------------------- - -class TestGetVendorFromUrl: - def test_openai_default(self): - assert _get_vendor_from_url("") == "openai" - - def test_openai_api(self): - assert _get_vendor_from_url("https://api.openai.com/v1/") == "openai" - - def test_azure_openai(self): - result = _get_vendor_from_url("https://myendpoint.openai.azure.com/") - # OTel GenAiSystemValues.AZURE_AI_OPENAI — "az.ai.openai" is deprecated - assert result == "azure.ai.openai", f"Expected 'azure.ai.openai', got '{result}'" - - def test_aws_bedrock(self): - result = _get_vendor_from_url("https://bedrock-runtime.us-east-1.amazonaws.com/") - assert result == "aws.bedrock", f"Expected 'aws.bedrock', got '{result}'" - - def test_google_vertex(self): - result = _get_vendor_from_url("https://us-central1-aiplatform.googleapis.com/") - assert result == "gcp.vertex_ai", f"Expected 'gcp.vertex_ai', got '{result}'" - - def test_openrouter(self): - result = _get_vendor_from_url("https://openrouter.ai/api/v1/") - assert result == "openrouter", f"Expected 'openrouter', got '{result}'" - - -# --------------------------------------------------------------------------- -# P2: metric_shared_attributes uses constant, not hardcoded string -# --------------------------------------------------------------------------- - -class TestMetricSharedAttributes: - def test_operation_name_key_is_constant(self): - """gen_ai.operation.name key must use the upstream constant.""" - attrs = metric_shared_attributes( - response_model="gpt-4", - operation="chat", - server_address="https://api.openai.com/v1/", - ) - assert GenAIAttributes.GEN_AI_OPERATION_NAME in attrs, ( - f"Expected key '{GenAIAttributes.GEN_AI_OPERATION_NAME}' in attrs, " - f"got keys: {list(attrs.keys())}" - ) - - -# --------------------------------------------------------------------------- -# P2: gen_ai.provider.name used instead of deprecated gen_ai.system -# --------------------------------------------------------------------------- - -class TestProviderNameAttribute: - def test_request_attributes_set_provider_name(self, mock_span): - """_set_request_attributes must set gen_ai.provider.name, not gen_ai.system.""" - _set_request_attributes(mock_span, {"model": "gpt-4"}) - # The new attribute should be present - assert GenAIAttributes.GEN_AI_PROVIDER_NAME in mock_span._attrs, ( - f"Expected '{GenAIAttributes.GEN_AI_PROVIDER_NAME}' in attrs, " - f"got: {list(mock_span._attrs.keys())}" - ) - - -class TestRequestAttributesSerialization: - def test_none_headers_not_recorded_as_string(self, mock_span): - """kwargs with headers=None should not record literal 'None'.""" - _set_request_attributes(mock_span, {"model": "gpt-4"}) - val = mock_span._attrs.get(SpanAttributes.GEN_AI_HEADERS) - assert val != "None", "Should not record literal string 'None'" - - def test_none_user_not_recorded(self, mock_span): - """kwargs with user=None should not record attribute.""" - _set_request_attributes(mock_span, {"model": "gpt-4"}) - assert SpanAttributes.GEN_AI_USER not in mock_span._attrs - - -# --------------------------------------------------------------------------- -# P1: gen_ai.response.finish_reasons must be set as top-level span attribute -# --------------------------------------------------------------------------- - -class TestFinishReasonsTopLevel: - """gen_ai.response.finish_reasons is a Recommended top-level string[] - span attribute per OTel GenAI semconv. It must be set by - _set_response_attributes, independently of should_send_prompts.""" - - def test_single_stop_reason(self, mock_span): - """Single choice with finish_reason='stop' sets ['stop'].""" - response = { - "model": "gpt-4", - "id": "chatcmpl-123", - "choices": [ - {"index": 0, "finish_reason": "stop", "message": {"role": "assistant", "content": "Hi"}}, - ], - "usage": {"prompt_tokens": 5, "completion_tokens": 1, "total_tokens": 6}, - } - _set_response_attributes(mock_span, response) - assert GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS in mock_span._attrs, ( - f"Expected '{GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS}' in span attrs, " - f"got: {list(mock_span._attrs.keys())}" - ) - assert mock_span._attrs[GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS] == ("stop",) - - def test_tool_calls_mapped_to_tool_call(self, mock_span): - """finish_reason='tool_calls' must be mapped to 'tool_call' (singular).""" - response = { - "model": "gpt-4", - "id": "chatcmpl-456", - "choices": [ - {"index": 0, "finish_reason": "tool_calls", "message": {"role": "assistant"}}, - ], - "usage": {"prompt_tokens": 5, "completion_tokens": 1, "total_tokens": 6}, - } - _set_response_attributes(mock_span, response) - assert mock_span._attrs[GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS] == ("tool_call",) - - def test_multiple_choices(self, mock_span): - """Multiple choices produce an array of mapped finish reasons.""" - response = { - "model": "gpt-4", - "id": "chatcmpl-789", - "choices": [ - {"index": 0, "finish_reason": "stop", "message": {"role": "assistant"}}, - {"index": 1, "finish_reason": "length", "message": {"role": "assistant"}}, - ], - "usage": {"prompt_tokens": 5, "completion_tokens": 2, "total_tokens": 7}, - } - _set_response_attributes(mock_span, response) - assert mock_span._attrs[GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS] == ("stop", "length") - - def test_content_filter_reason(self, mock_span): - """content_filter finish reason passes through unchanged.""" - response = { - "model": "gpt-4", - "id": "chatcmpl-cf", - "choices": [ - {"index": 0, "finish_reason": "content_filter", "message": {"role": "assistant"}}, - ], - "usage": {"prompt_tokens": 5, "completion_tokens": 1, "total_tokens": 6}, - } - _set_response_attributes(mock_span, response) - assert mock_span._attrs[GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS] == ("content_filter",) - - def test_no_choices_no_finish_reasons(self, mock_span): - """Response without choices should not set finish_reasons.""" - response = { - "model": "gpt-4", - "id": "chatcmpl-empty", - "usage": {"prompt_tokens": 5, "completion_tokens": 0, "total_tokens": 5}, - } - _set_response_attributes(mock_span, response) - assert GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS not in mock_span._attrs - - def test_error_response_no_finish_reasons(self, mock_span): - """Error response should not set finish_reasons.""" - response = {"error": {"message": "Rate limit exceeded", "type": "rate_limit_error"}} - _set_response_attributes(mock_span, response) - assert GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS not in mock_span._attrs diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_prompt_caching.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_prompt_caching.py index caa37f6110..da39f5686b 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_prompt_caching.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_prompt_caching.py @@ -7,6 +7,8 @@ gen_ai_attributes as GenAIAttributes, ) +from .utils import get_input_messages, get_output_messages + @pytest.mark.vcr def test_openai_prompt_caching(instrument_legacy, span_exporter, log_exporter): @@ -42,15 +44,16 @@ def test_openai_prompt_caching(instrument_legacy, span_exporter, log_exporter): cache_creation_span = spans[0] cache_read_span = spans[1] - assert cache_creation_span.attributes["gen_ai.prompt.0.role"] == "system" - assert system_message == cache_creation_span.attributes["gen_ai.prompt.0.content"] - assert cache_read_span.attributes["gen_ai.prompt.0.role"] == "system" - assert system_message == cache_read_span.attributes["gen_ai.prompt.0.content"] - - assert cache_creation_span.attributes["gen_ai.prompt.1.role"] == "user" - assert text == cache_creation_span.attributes["gen_ai.prompt.1.content"] - assert cache_read_span.attributes["gen_ai.prompt.1.role"] == "user" - assert text == cache_read_span.attributes["gen_ai.prompt.1.content"] + creation_input = get_input_messages(cache_creation_span) + assert creation_input[0]["role"] == "system" + assert creation_input[0]["parts"][0]["content"] == system_message + assert creation_input[1]["role"] == "user" + assert creation_input[1]["parts"][0]["content"] == text + read_input = get_input_messages(cache_read_span) + assert read_input[0]["role"] == "system" + assert read_input[0]["parts"][0]["content"] == system_message + assert read_input[1]["role"] == "user" + assert read_input[1]["parts"][0]["content"] == text assert ( cache_creation_span.attributes.get("gen_ai.response.id") @@ -61,8 +64,8 @@ def test_openai_prompt_caching(instrument_legacy, span_exporter, log_exporter): == "chatcmpl-BNi420iFNtIOHzy8Gq2fVS5utTus7" ) - assert cache_creation_span.attributes["gen_ai.completion.0.role"] == "assistant" - assert cache_read_span.attributes["gen_ai.completion.0.role"] == "assistant" + assert get_output_messages(cache_creation_span)[0]["role"] == "assistant" + assert get_output_messages(cache_read_span)[0]["role"] == "assistant" assert cache_creation_span.attributes["gen_ai.usage.input_tokens"] == 1149 assert cache_creation_span.attributes["gen_ai.usage.output_tokens"] == 315 @@ -287,15 +290,16 @@ async def test_openai_prompt_caching_async( cache_creation_span = spans[0] cache_read_span = spans[1] - assert cache_creation_span.attributes["gen_ai.prompt.0.role"] == "system" - assert system_message == cache_creation_span.attributes["gen_ai.prompt.0.content"] - assert cache_read_span.attributes["gen_ai.prompt.0.role"] == "system" - assert system_message == cache_read_span.attributes["gen_ai.prompt.0.content"] - - assert cache_creation_span.attributes["gen_ai.prompt.1.role"] == "user" - assert text == cache_creation_span.attributes["gen_ai.prompt.1.content"] - assert cache_read_span.attributes["gen_ai.prompt.1.role"] == "user" - assert text == cache_read_span.attributes["gen_ai.prompt.1.content"] + creation_input = get_input_messages(cache_creation_span) + assert creation_input[0]["role"] == "system" + assert creation_input[0]["parts"][0]["content"] == system_message + assert creation_input[1]["role"] == "user" + assert creation_input[1]["parts"][0]["content"] == text + read_input = get_input_messages(cache_read_span) + assert read_input[0]["role"] == "system" + assert read_input[0]["parts"][0]["content"] == system_message + assert read_input[1]["role"] == "user" + assert read_input[1]["parts"][0]["content"] == text assert ( cache_creation_span.attributes.get("gen_ai.response.id") == "chatcmpl-BNhr79TlegaJvfSOAOH2jsPEpRHMd" @@ -305,8 +309,8 @@ async def test_openai_prompt_caching_async( == "chatcmpl-BNhrEFvKSNY08Uphau5iA4InZH6jn" ) - assert cache_creation_span.attributes["gen_ai.completion.0.role"] == "assistant" - assert cache_read_span.attributes["gen_ai.completion.0.role"] == "assistant" + assert get_output_messages(cache_creation_span)[0]["role"] == "assistant" + assert get_output_messages(cache_read_span)[0]["role"] == "assistant" assert cache_creation_span.attributes["gen_ai.usage.input_tokens"] == 1150 assert cache_creation_span.attributes["gen_ai.usage.output_tokens"] == 293 diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py index f55da1ba00..44806eb8fc 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py @@ -1,3 +1,4 @@ +import json import pytest from openai import AsyncOpenAI, OpenAI @@ -7,6 +8,8 @@ ) from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter +from .utils import get_input_messages, get_output_messages + @pytest.mark.vcr def test_responses( @@ -245,17 +248,29 @@ def test_responses_reasoning_dict_issue( # The main goal of this test is to ensure that when the API returns reasoning data # as a dict/list, it gets properly serialized as JSON without causing "Invalid type" warnings - # The reasoning should be serialized as JSON since it contains complex data - reasoning_attr = span.attributes["gen_ai.completion.0.reasoning"] - assert isinstance(reasoning_attr, str), "Reasoning should be serialized as a string" + # Reasoning content is embedded in gen_ai.output.messages as a reasoning part + output_messages = get_output_messages(span) + assert len(output_messages) > 0, "Expected at least one output message" - # Should be valid JSON containing reasoning summary data - import json + # Find any reasoning parts across all output messages + reasoning_parts = [ + p for msg in output_messages + for p in msg.get("parts", []) + if p.get("type") == "reasoning" + ] - parsed_reasoning = json.loads(reasoning_attr) - assert isinstance( - parsed_reasoning, (dict, list) - ), "Reasoning should be a dict or list structure" + # If reasoning parts exist, verify their content is a properly serialized string + for part in reasoning_parts: + content = part.get("content") + assert isinstance(content, str), ( + f"Reasoning content should be a string (not raw dict/list), got: {type(content)}" + ) + # If it looks like JSON, verify it parses correctly + if content and content.strip().startswith(("[", "{")): + parsed = json.loads(content) + assert isinstance(parsed, (dict, list)), ( + "Reasoning content that looks like JSON should parse to dict or list" + ) @pytest.mark.vcr @@ -289,10 +304,12 @@ def test_responses_streaming( assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert span.attributes["gen_ai.response.model"] == "gpt-4.1-nano-2025-04-14" assert full_text != "", "Should have received streaming content" - assert span.attributes["gen_ai.prompt.0.content"] == input_text - assert span.attributes["gen_ai.prompt.0.role"] == "user" - assert span.attributes["gen_ai.completion.0.role"] == "assistant" - assert span.attributes["gen_ai.completion.0.content"] == full_text + input_messages = get_input_messages(span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == input_text + output_messages = get_output_messages(span) + assert output_messages[0]["role"] == "assistant" + assert output_messages[0]["parts"][0]["content"] == full_text @pytest.mark.vcr @@ -325,10 +342,12 @@ async def test_responses_streaming_async( assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert full_text != "", "Should have received streaming content" - assert span.attributes["gen_ai.prompt.0.content"] == input_text - assert span.attributes["gen_ai.prompt.0.role"] == "user" - assert span.attributes["gen_ai.completion.0.role"] == "assistant" - assert span.attributes["gen_ai.completion.0.content"] == full_text + input_messages = get_input_messages(span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == input_text + output_messages = get_output_messages(span) + assert output_messages[0]["role"] == "assistant" + assert output_messages[0]["parts"][0]["content"] == full_text @pytest.mark.vcr @@ -358,10 +377,12 @@ def test_responses_streaming_with_content( assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert full_text != "", "Should have received streaming content" - assert span.attributes["gen_ai.prompt.0.content"] == input_text - assert span.attributes["gen_ai.prompt.0.role"] == "user" - assert span.attributes["gen_ai.completion.0.role"] == "assistant" - assert span.attributes["gen_ai.completion.0.content"] == full_text + input_messages = get_input_messages(span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == input_text + output_messages = get_output_messages(span) + assert output_messages[0]["role"] == "assistant" + assert output_messages[0]["parts"][0]["content"] == full_text @pytest.mark.vcr @@ -389,10 +410,12 @@ def test_responses_streaming_with_context_manager( assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert full_text != "", "Should have received streaming content" - assert span.attributes["gen_ai.prompt.0.content"] == input_text - assert span.attributes["gen_ai.prompt.0.role"] == "user" - assert span.attributes["gen_ai.completion.0.role"] == "assistant" - assert span.attributes["gen_ai.completion.0.content"] == full_text + input_messages = get_input_messages(span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == input_text + output_messages = get_output_messages(span) + assert output_messages[0]["role"] == "assistant" + assert output_messages[0]["parts"][0]["content"] == full_text @pytest.mark.vcr @@ -425,10 +448,12 @@ async def test_responses_streaming_async_with_context_manager( assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert full_text != "", "Should have received streaming content" - assert span.attributes["gen_ai.prompt.0.content"] == input_text - assert span.attributes["gen_ai.prompt.0.role"] == "user" - assert span.attributes["gen_ai.completion.0.role"] == "assistant" - assert span.attributes["gen_ai.completion.0.content"] == full_text + input_messages = get_input_messages(span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["content"] == input_text + output_messages = get_output_messages(span) + assert output_messages[0]["role"] == "assistant" + assert output_messages[0]["parts"][0]["content"] == full_text def test_get_tools_from_kwargs_with_none(): diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py index 40f9a95214..969489068f 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py @@ -30,7 +30,6 @@ _map_content_block, _set_output_messages, ) -from opentelemetry.instrumentation.openai.shared.config import Config @pytest.fixture @@ -188,41 +187,36 @@ def test_input_messages_json_when_flag_enabled(self, mock_span): ) msg = _make_message_output("msg_001", "Hi there") - previous = Config.use_messages_attributes - Config.use_messages_attributes = True - try: - traced = TracedData( - start_time=1000, - response_id="resp_789", - input=[ - {"role": "user", "content": "Hello", "type": "message"}, - ], - instructions="Be helpful", - tools=None, - output_blocks={"msg_001": msg}, - usage=None, - output_text="Hi there", - request_model="gpt-4", - response_model="gpt-4", - ) - set_data_attributes(traced, mock_span) + traced = TracedData( + start_time=1000, + response_id="resp_789", + input=[ + {"role": "user", "content": "Hello", "type": "message"}, + ], + instructions="Be helpful", + tools=None, + output_blocks={"msg_001": msg}, + usage=None, + output_text="Hi there", + request_model="gpt-4", + response_model="gpt-4", + ) + set_data_attributes(traced, mock_span) - assert GenAIAttributes.GEN_AI_INPUT_MESSAGES in mock_span._attrs, ( - f"Expected gen_ai.input.messages when use_messages_attributes=True, " - f"got keys: {list(mock_span._attrs.keys())}" - ) - assert GenAIAttributes.GEN_AI_OUTPUT_MESSAGES in mock_span._attrs, ( - f"Expected gen_ai.output.messages when use_messages_attributes=True, " - f"got keys: {list(mock_span._attrs.keys())}" - ) + assert GenAIAttributes.GEN_AI_INPUT_MESSAGES in mock_span._attrs, ( + f"Expected gen_ai.input.messages, " + f"got keys: {list(mock_span._attrs.keys())}" + ) + assert GenAIAttributes.GEN_AI_OUTPUT_MESSAGES in mock_span._attrs, ( + f"Expected gen_ai.output.messages, " + f"got keys: {list(mock_span._attrs.keys())}" + ) - input_msgs = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_INPUT_MESSAGES]) - assert isinstance(input_msgs, list) + input_msgs = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_INPUT_MESSAGES]) + assert isinstance(input_msgs, list) - output_msgs = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_OUTPUT_MESSAGES]) - assert isinstance(output_msgs, list) - finally: - Config.use_messages_attributes = previous + output_msgs = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_OUTPUT_MESSAGES]) + assert isinstance(output_msgs, list) def test_string_input_as_user_message(self, mock_span): from opentelemetry.instrumentation.openai.v1.responses_wrappers import ( @@ -231,28 +225,23 @@ def test_string_input_as_user_message(self, mock_span): ) msg = _make_message_output("msg_001", "4") - previous = Config.use_messages_attributes - Config.use_messages_attributes = True - try: - traced = TracedData( - start_time=1000, - response_id="resp_str", - input="What is 2+2?", - instructions=None, - tools=None, - output_blocks={"msg_001": msg}, - usage=None, - output_text="4", - request_model="gpt-4", - response_model="gpt-4", - ) - set_data_attributes(traced, mock_span) + traced = TracedData( + start_time=1000, + response_id="resp_str", + input="What is 2+2?", + instructions=None, + tools=None, + output_blocks={"msg_001": msg}, + usage=None, + output_text="4", + request_model="gpt-4", + response_model="gpt-4", + ) + set_data_attributes(traced, mock_span) - assert GenAIAttributes.GEN_AI_INPUT_MESSAGES in mock_span._attrs - input_msgs = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_INPUT_MESSAGES]) - assert input_msgs[0]["role"] == "user" - finally: - Config.use_messages_attributes = previous + assert GenAIAttributes.GEN_AI_INPUT_MESSAGES in mock_span._attrs + input_msgs = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_INPUT_MESSAGES]) + assert input_msgs[0]["role"] == "user" # --------------------------------------------------------------------------- @@ -304,32 +293,27 @@ def test_reasoning_content_accumulated(self): ) def test_reasoning_content_in_output_messages(self, mock_span): - """When use_messages_attributes is on, reasoning should become a part.""" - previous = Config.use_messages_attributes - Config.use_messages_attributes = True - try: - choices = [ - { - "index": 0, - "message": { - "role": "assistant", - "content": "3 r's", - "reasoning_content": "Let me count...", - }, - "finish_reason": "stop", - } - ] - _set_output_messages(mock_span, choices) - result = _get_output_messages(mock_span) - - parts = result[0]["parts"] - reasoning_parts = [p for p in parts if p.get("type") == "reasoning"] - assert len(reasoning_parts) == 1, ( - f"Expected 1 reasoning part, got parts: {parts}" - ) - assert reasoning_parts[0]["content"] == "Let me count..." - finally: - Config.use_messages_attributes = previous + """Reasoning content should become a 'reasoning' part in output messages.""" + choices = [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "3 r's", + "reasoning_content": "Let me count...", + }, + "finish_reason": "stop", + } + ] + _set_output_messages(mock_span, choices) + result = _get_output_messages(mock_span) + + parts = result[0]["parts"] + reasoning_parts = [p for p in parts if p.get("type") == "reasoning"] + assert len(reasoning_parts) == 1, ( + f"Expected 1 reasoning part, got parts: {parts}" + ) + assert reasoning_parts[0]["content"] == "Let me count..." # --------------------------------------------------------------------------- @@ -374,75 +358,66 @@ class TestP2_2_ToolDefinitionsJson: JSON string attribute when Config.use_messages_attributes is True.""" def test_tools_as_json_when_flag_enabled(self, mock_span): - previous = Config.use_messages_attributes - Config.use_messages_attributes = True - try: - tools = [ - { - "type": "function", - "function": { - "name": "get_weather", - "description": "Get weather", - "parameters": {"type": "object", "properties": {}}, - }, - } - ] - set_tools_attributes(mock_span, tools) - - assert GenAIAttributes.GEN_AI_TOOL_DEFINITIONS in mock_span._attrs, ( - f"Expected single '{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}' key, " - f"got: {list(mock_span._attrs.keys())}" - ) - parsed = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_TOOL_DEFINITIONS]) - assert isinstance(parsed, list) - assert len(parsed) == 1 - assert parsed[0]["name"] == "get_weather" - finally: - Config.use_messages_attributes = previous + tools = [ + { + "type": "function", + "function": { + "name": "get_weather", + "description": "Get weather", + "parameters": {"type": "object", "properties": {}}, + }, + } + ] + set_tools_attributes(mock_span, tools) + + assert GenAIAttributes.GEN_AI_TOOL_DEFINITIONS in mock_span._attrs, ( + f"Expected single '{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}' key, " + f"got: {list(mock_span._attrs.keys())}" + ) + parsed = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_TOOL_DEFINITIONS]) + assert isinstance(parsed, list) + assert len(parsed) == 1 + assert parsed[0]["name"] == "get_weather" def test_functions_as_json_when_flag_enabled(self, mock_span): - previous = Config.use_messages_attributes - Config.use_messages_attributes = True - try: - functions = [ - { - "name": "search", - "description": "Search the web", + functions = [ + { + "name": "search", + "description": "Search the web", + "parameters": {"type": "object", "properties": {}}, + } + ] + _set_functions_attributes(mock_span, functions) + + assert GenAIAttributes.GEN_AI_TOOL_DEFINITIONS in mock_span._attrs, ( + f"Expected single '{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}' key, " + f"got: {list(mock_span._attrs.keys())}" + ) + parsed = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_TOOL_DEFINITIONS]) + assert isinstance(parsed, list) + assert parsed[0]["name"] == "search" + + def test_tools_emits_json_format(self, mock_span): + """Tools always use JSON format (gen_ai.tool.definitions as JSON array).""" + tools = [ + { + "type": "function", + "function": { + "name": "get_weather", + "description": "Get weather", "parameters": {"type": "object", "properties": {}}, - } - ] - _set_functions_attributes(mock_span, functions) + }, + } + ] + set_tools_attributes(mock_span, tools) - assert GenAIAttributes.GEN_AI_TOOL_DEFINITIONS in mock_span._attrs, ( - f"Expected single '{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}' key, " - f"got: {list(mock_span._attrs.keys())}" - ) - parsed = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_TOOL_DEFINITIONS]) - assert isinstance(parsed, list) - assert parsed[0]["name"] == "search" - finally: - Config.use_messages_attributes = previous - - def test_tools_still_indexed_when_flag_disabled(self, mock_span): - """When use_messages_attributes is False, keep indexed format.""" - previous = Config.use_messages_attributes - Config.use_messages_attributes = False - try: - tools = [ - { - "type": "function", - "function": { - "name": "get_weather", - "description": "Get weather", - "parameters": {"type": "object", "properties": {}}, - }, - } - ] - set_tools_attributes(mock_span, tools) - - assert f"{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}.0.name" in mock_span._attrs - finally: - Config.use_messages_attributes = previous + assert GenAIAttributes.GEN_AI_TOOL_DEFINITIONS in mock_span._attrs, ( + f"Expected '{GenAIAttributes.GEN_AI_TOOL_DEFINITIONS}' key, " + f"got: {list(mock_span._attrs.keys())}" + ) + parsed = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_TOOL_DEFINITIONS]) + assert isinstance(parsed, list) + assert parsed[0]["name"] == "get_weather" # --------------------------------------------------------------------------- @@ -580,53 +555,48 @@ def test_ensure_cleanup_sets_output_messages(self, mock_span): _accumulate_stream_items, ) - previous_msg = Config.use_messages_attributes - Config.use_messages_attributes = True - try: - # Create a ChatStream with a MagicMock response (ObjectProxy needs a real object) - mock_response = MagicMock() - stream = ChatStream( - span=mock_span, - response=mock_response, - instance=None, - start_time=time.time(), - request_kwargs={"model": "gpt-4"}, - ) + # Create a ChatStream with a MagicMock response (ObjectProxy needs a real object) + mock_response = MagicMock() + stream = ChatStream( + span=mock_span, + response=mock_response, + instance=None, + start_time=time.time(), + request_kwargs={"model": "gpt-4"}, + ) - # Simulate partial accumulation (as if some chunks were received) - _accumulate_stream_items( - { - "model": "gpt-4", - "id": "cmpl-partial", - "choices": [{"index": 0, "delta": {"role": "assistant"}, "finish_reason": None}], - }, - stream._complete_response, - ) - _accumulate_stream_items( - { - "model": "gpt-4", - "id": "cmpl-partial", - "choices": [{"index": 0, "delta": {"content": "Partial answer"}, "finish_reason": None}], - }, - stream._complete_response, - ) + # Simulate partial accumulation (as if some chunks were received) + _accumulate_stream_items( + { + "model": "gpt-4", + "id": "cmpl-partial", + "choices": [{"index": 0, "delta": {"role": "assistant"}, "finish_reason": None}], + }, + stream._complete_response, + ) + _accumulate_stream_items( + { + "model": "gpt-4", + "id": "cmpl-partial", + "choices": [{"index": 0, "delta": {"content": "Partial answer"}, "finish_reason": None}], + }, + stream._complete_response, + ) - # Trigger cleanup (simulates GC or abrupt teardown) - stream._ensure_cleanup() + # Trigger cleanup (simulates GC or abrupt teardown) + stream._ensure_cleanup() - assert GenAIAttributes.GEN_AI_OUTPUT_MESSAGES in mock_span._attrs, ( - f"Expected gen_ai.output.messages after partial cleanup, " - f"got keys: {list(mock_span._attrs.keys())}" - ) - output_msgs = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_OUTPUT_MESSAGES]) - assert len(output_msgs) > 0 - assert output_msgs[0]["role"] == "assistant" - text_parts = [p for p in output_msgs[0]["parts"] if p.get("type") == "text"] - assert any("Partial answer" in p.get("content", "") for p in text_parts), ( - f"Expected partial content in output messages, got: {output_msgs}" - ) - finally: - Config.use_messages_attributes = previous_msg + assert GenAIAttributes.GEN_AI_OUTPUT_MESSAGES in mock_span._attrs, ( + f"Expected gen_ai.output.messages after partial cleanup, " + f"got keys: {list(mock_span._attrs.keys())}" + ) + output_msgs = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_OUTPUT_MESSAGES]) + assert len(output_msgs) > 0 + assert output_msgs[0]["role"] == "assistant" + text_parts = [p for p in output_msgs[0]["parts"] if p.get("type") == "text"] + assert any("Partial answer" in p.get("content", "") for p in text_parts), ( + f"Expected partial content in output messages, got: {output_msgs}" + ) # --------------------------------------------------------------------------- diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_vision.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_vision.py index b18c62e18e..29261c434d 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_vision.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_vision.py @@ -1,5 +1,4 @@ import base64 -import json import pytest import requests @@ -9,6 +8,8 @@ ) from opentelemetry.semconv_ai import SpanAttributes +from .utils import get_input_messages, get_output_messages + @pytest.mark.vcr def test_vision(instrument_legacy, span_exporter, log_exporter, openai_client): @@ -38,17 +39,17 @@ def test_vision(instrument_legacy, span_exporter, log_exporter, openai_client): "openai.chat", ] open_ai_span = spans[0] - assert json.loads( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - ) == [ - {"type": "text", "text": "What is in this image?"}, - { - "type": "image_url", - "image_url": {"url": "https://source.unsplash.com/8xznAGy4HcY/800x400"}, - }, - ] - - assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + parts = input_messages[0]["parts"] + text_parts = [p for p in parts if p.get("type") == "text"] + uri_parts = [p for p in parts if p.get("type") == "uri"] + assert text_parts[0]["content"] == "What is in this image?" + assert len(uri_parts) == 1 + assert uri_parts[0]["uri"] == "https://source.unsplash.com/8xznAGy4HcY/800x400" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" @@ -224,17 +225,18 @@ def test_vision_base64(instrument_legacy, span_exporter, log_exporter, openai_cl "openai.chat", ] open_ai_span = spans[0] - assert json.loads( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - ) == [ - {"type": "text", "text": "What is in this image?"}, - { - "type": "image_url", - "image_url": {"url": "/some/url"}, - }, - ] - - assert open_ai_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content") + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + parts = input_messages[0]["parts"] + text_parts = [p for p in parts if p.get("type") == "text"] + uri_parts = [p for p in parts if p.get("type") == "uri"] + assert text_parts[0]["content"] == "What is in this image?" + assert len(uri_parts) == 1 + # base64 images are replaced with /some/url + assert uri_parts[0]["uri"] == "/some/url" + output_messages = get_output_messages(open_ai_span) + assert len(output_messages) == 1 + assert output_messages[0]["role"] == "assistant" assert ( open_ai_span.attributes[SpanAttributes.GEN_AI_OPENAI_API_BASE] == "https://api.openai.com/v1/" diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/utils.py b/packages/opentelemetry-instrumentation-openai/tests/traces/utils.py index 0db9c16c94..cfda1b714c 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/utils.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/utils.py @@ -1,4 +1,5 @@ import httpx +import json from opentelemetry.sdk.trace import Span from opentelemetry.trace.propagation.tracecontext import TraceContextTextMapPropagator from opentelemetry.trace.propagation import get_current_span @@ -17,6 +18,18 @@ def wrapper(self, *args, **kwargs): return wrapper +def get_input_messages(span): + return json.loads(span.attributes["gen_ai.input.messages"]) + + +def get_output_messages(span): + return json.loads(span.attributes["gen_ai.output.messages"]) + + +def get_tool_definitions(span): + return json.loads(span.attributes["gen_ai.tool.definitions"]) + + def assert_request_contains_tracecontext(request: httpx.Request, expected_span: Span): assert TraceContextTextMapPropagator._TRACEPARENT_HEADER_NAME in request.headers ctx = TraceContextTextMapPropagator().extract(request.headers) From 209bbb9e566a381c4fe17989deeed252288815bd Mon Sep 17 00:00:00 2001 From: Oz Ben Simhon Date: Sun, 29 Mar 2026 22:03:10 +0300 Subject: [PATCH 20/22] completion_wrappers fix --- .../instrumentation/openai/shared/__init__.py | 15 ++- .../openai/shared/chat_wrappers.py | 6 +- .../openai/shared/completion_wrappers.py | 5 +- .../openai/v1/realtime_wrappers.py | 95 +++++++------------ .../openai/v1/responses_wrappers.py | 2 +- .../tests/traces/test_realtime.py | 34 ++++--- .../tests/traces/test_responses.py | 50 ---------- .../tests/traces/test_semconv_compliance.py | 14 +-- 8 files changed, 82 insertions(+), 139 deletions(-) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py index 3d91240621..e7662793b3 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py @@ -88,9 +88,12 @@ def _parse_arguments(raw_args): return raw_args -def _build_tool_def_dict(function_dict): - """Extract name/description/parameters from a function dict into a tool definition.""" +def _build_tool_def_dict(function_dict, tool_type=None): + """Build a tool definition dict matching OTel source system format.""" tool_def = {} + t = tool_type or function_dict.get("type") + if t: + tool_def["type"] = t if function_dict.get("name"): tool_def["name"] = function_dict["name"] if function_dict.get("description"): @@ -112,7 +115,10 @@ def _set_functions_attributes(span, functions): if not functions: return - tool_defs = [d for f in functions if (d := _build_tool_def_dict(f))] + tool_defs = [ + d for f in functions + if (d := _build_tool_def_dict(f, tool_type="function")) + ] _set_tool_definitions_json(span, tool_defs) @@ -122,7 +128,8 @@ def set_tools_attributes(span, tools): tool_defs = [ d for tool in tools - if tool.get("function") and (d := _build_tool_def_dict(tool["function"])) + if tool.get("function") + and (d := _build_tool_def_dict(tool["function"], tool_type=tool.get("type"))) ] _set_tool_definitions_json(span, tool_defs) 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 46a5fff605..26ea9d8802 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 @@ -604,10 +604,8 @@ def _set_output_messages(span, choices): "id": "", "arguments": _parse_arguments(fc_args), }) - entry = {"role": "assistant", "parts": parts} - fr = _map_finish_reason(choice.get("finish_reason")) - if fr is not None: - entry["finish_reason"] = fr + fr = _map_finish_reason(choice.get("finish_reason")) or "stop" + entry = {"role": "assistant", "parts": parts, "finish_reason": fr} if content_filter_results: entry["content_filter_results"] = content_filter_results messages.append(entry) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py index 48552ed802..2f9fe915be 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py @@ -190,13 +190,12 @@ def _set_output_messages(span, choices): messages = [] for choice in choices: + fr = _map_finish_reason(choice.get("finish_reason")) or "stop" entry = { "role": "assistant", "parts": [{"content": choice.get("text"), "type": "text"}], + "finish_reason": fr, } - fr = _map_finish_reason(choice.get("finish_reason")) - if fr is not None: - entry["finish_reason"] = fr messages.append(entry) _set_span_attribute( span, diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py index 636ddfff66..fe406b6e97 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/realtime_wrappers.py @@ -30,6 +30,7 @@ from opentelemetry.trace import SpanKind, Status, StatusCode, Tracer from opentelemetry.instrumentation.openai.shared import ( + _parse_arguments, _set_span_attribute, model_as_dict, ) @@ -206,64 +207,39 @@ def handle_response_done(self, event): total, ) - # Set output content if tracing is enabled + # Build output message in OTel JSON format + parts = [] + if self._state.accumulated_text: + parts.append({"type": "text", "content": self._state.accumulated_text}) + elif self._state.accumulated_audio_transcript: + parts.append({"type": "text", "content": self._state.accumulated_audio_transcript}) + + if self._state.function_calls: + finish_reason = "tool_call" + for call in self._state.function_calls: + parts.append({ + "type": "tool_call", + "name": call.get("name"), + "id": call.get("call_id"), + "arguments": _parse_arguments(call.get("arguments")), + }) + else: + finish_reason = "stop" + + _set_span_attribute( + span, + GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS, + (finish_reason,), + ) + if should_send_prompts(): - # Always set role for completions + output_messages = [{"role": "assistant", "parts": parts, "finish_reason": finish_reason}] _set_span_attribute( span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.role", - "assistant", + GenAIAttributes.GEN_AI_OUTPUT_MESSAGES, + json.dumps(output_messages), ) - # Set content (text or audio transcript) - if self._state.accumulated_text: - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content", - self._state.accumulated_text, - ) - elif self._state.accumulated_audio_transcript: - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content", - self._state.accumulated_audio_transcript, - ) - - # Set tool calls and finish_reason - if self._state.function_calls: - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.finish_reason", - "tool_calls", - ) - for i, call in enumerate(self._state.function_calls): - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{i}.type", - "function", - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{i}.name", - call.get("name"), - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{i}.id", - call.get("call_id"), - ) - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.tool_calls.{i}.arguments", - call.get("arguments"), - ) - else: - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_COMPLETION}.0.finish_reason", - "stop", - ) - span.set_status(Status(StatusCode.OK)) span.end() @@ -321,15 +297,14 @@ def start_response_span(self, end_existing: bool = False, set_input: bool = Fals # Set input if available and requested if set_input and should_send_prompts() and self._state.input_text: + input_messages = [{ + "role": "user", + "parts": [{"type": "text", "content": self._state.input_text}], + }] _set_span_attribute( self._state.response_span, - f"{GenAIAttributes.GEN_AI_PROMPT}.0.content", - self._state.input_text, - ) - _set_span_attribute( - self._state.response_span, - f"{GenAIAttributes.GEN_AI_PROMPT}.0.role", - "user", + GenAIAttributes.GEN_AI_INPUT_MESSAGES, + json.dumps(input_messages), ) def reset_response_state(self): diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py index b503d5e4b5..ec0d245add 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/responses_wrappers.py @@ -362,7 +362,7 @@ def _set_responses_json_messages(traced_response: TracedData, span: Span): _set_span_attribute(span, GenAIAttributes.GEN_AI_OUTPUT_MESSAGES, json.dumps(output_messages)) - # Tool definitions as JSON when use_messages_attributes is enabled + # Tool definitions as JSON if traced_response.tools: tool_defs = [ d for tp in traced_response.tools diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py index ceb8e13270..9f3514cfae 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_realtime.py @@ -6,6 +6,8 @@ requiring real API connections. """ +import json + import pytest from unittest.mock import AsyncMock, MagicMock from opentelemetry.sdk.trace import TracerProvider @@ -480,9 +482,10 @@ async def test_full_text_conversation_flow(self, tracer_provider_and_exporter): assert response_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" assert response_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" - # Verify finish_reason is "stop" for text response without tool calls - attrs = dict(response_span.attributes) - assert attrs.get("gen_ai.completion.0.finish_reason") == "stop" + # Verify finish_reasons top-level attribute + assert response_span.attributes[ + GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS + ] == ("stop",) @pytest.mark.asyncio async def test_response_span_is_child_of_session_span(self, tracer_provider_and_exporter): @@ -616,14 +619,23 @@ async def test_function_call_flow(self, tracer_provider_and_exporter): response_span = next(s for s in spans if s.name == "openai.realtime") assert response_span.status.status_code == StatusCode.OK - # Verify tool call attributes are set - attrs = dict(response_span.attributes) - assert attrs.get("gen_ai.completion.0.role") == "assistant" - assert attrs.get("gen_ai.completion.0.finish_reason") == "tool_calls" - assert attrs.get("gen_ai.completion.0.tool_calls.0.type") == "function" - assert attrs.get("gen_ai.completion.0.tool_calls.0.name") == "get_weather" - assert attrs.get("gen_ai.completion.0.tool_calls.0.id") == "call_123" - assert attrs.get("gen_ai.completion.0.tool_calls.0.arguments") == '{"location": "NYC"}' + # Verify finish_reasons top-level attribute + assert response_span.attributes[ + GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS + ] == ("tool_call",) + + # Verify output messages in OTel JSON format + output = json.loads( + response_span.attributes[GenAIAttributes.GEN_AI_OUTPUT_MESSAGES] + ) + assert len(output) == 1 + assert output[0]["role"] == "assistant" + assert output[0]["finish_reason"] == "tool_call" + tool_part = output[0]["parts"][0] + assert tool_part["type"] == "tool_call" + assert tool_part["name"] == "get_weather" + assert tool_part["id"] == "call_123" + assert tool_part["arguments"] == {"location": "NYC"} @pytest.mark.asyncio async def test_error_handling_in_response(self, tracer_provider_and_exporter): diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py index 44806eb8fc..4e6b80ce5b 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_responses.py @@ -26,10 +26,6 @@ def test_responses( assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert span.attributes["gen_ai.response.model"] == "gpt-4.1-nano-2025-04-14" - # assert ( - # span.attributes["gen_ai.prompt.0.content"] == "What is the capital of France?" - # ) - # assert span.attributes["gen_ai.prompt.0.role"] == "user" @pytest.mark.vcr @@ -110,23 +106,6 @@ def test_responses_with_input_history( assert span.attributes["gen_ai.provider.name"] == "openai" assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert span.attributes["gen_ai.response.model"] == "gpt-4.1-nano-2025-04-14" - # assert ( - # span.attributes["gen_ai.prompt.0.content"] - # == "Come up with an adjective in English. Respond with just one word." - # ) - # assert span.attributes["gen_ai.prompt.0.role"] == "user" - # assert json.loads(span.attributes["gen_ai.prompt.1.content"]) == [ - # { - # "type": "output_text", - # "text": first_response.output[0].content[0].text, - # } - # ] - # assert span.attributes["gen_ai.prompt.1.role"] == "assistant" - # assert ( - # span.attributes["gen_ai.prompt.2.content"] - # == "Can you explain why you chose that word?" - # ) - # assert span.attributes["gen_ai.prompt.2.role"] == "user" @pytest.mark.vcr @@ -172,25 +151,6 @@ def test_responses_tool_calls( assert span.attributes["gen_ai.request.model"] == "gpt-4.1-nano" assert span.attributes["gen_ai.response.model"] == "gpt-4.1-nano-2025-04-14" - # assert span.attributes["gen_ai.prompt.0.content"] == "What's the weather in London?" - # assert span.attributes["gen_ai.prompt.0.role"] == "user" - # assert span.attributes["llm.request.functions.0.name"] == "get_weather" - # assert json.loads(span.attributes["llm.request.functions.0.parameters"]) == { - # "type": "object", - # "properties": { - # "location": { - # "type": "string", - # "description": "The city and state, e.g. San Francisco, CA" - # } - # }, - # "required": ["location"] - # } - # assert span.attributes["llm.request.functions.0.description"] == "Get the current weather for a location" - - # assert ( - # span.attributes["gen_ai.completion.0.tool_calls.0.id"] - # == "fc_685ff89422ec819a977b2ea385bc9b6601c537ddeff5c2a2" - # ) assert ( span.attributes["gen_ai.response.id"] == "resp_685ff8928dc4819aac45e085ba66838101c537ddeff5c2a2" @@ -213,16 +173,6 @@ def test_responses_reasoning( spans = span_exporter.get_finished_spans() assert len(spans) == 1 - span = spans[0] - - # assert span.attributes["gen_ai.request.reasoning_effort"] == "low" - # assert span.attributes["gen_ai.request.reasoning_summary"] == () - - # assert span.attributes["gen_ai.response.reasoning_effort"] == "low" - # When reasoning summary is None/empty, the attribute should not be set - assert "gen_ai.completion.0.reasoning" not in span.attributes - - # assert span.attributes["gen_ai.usage.reasoning_tokens"] > 0 @pytest.mark.vcr diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py index 969489068f..e87822f8c8 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_semconv_compliance.py @@ -177,8 +177,8 @@ def test_function_call_has_tool_call_finish_reason(self, mock_span): # --------------------------------------------------------------------------- class TestP1_3_ResponsesMessagesAttributes: - """When Config.use_messages_attributes is True, set_data_attributes must - emit gen_ai.input.messages / gen_ai.output.messages as JSON.""" + """set_data_attributes must emit gen_ai.input.messages / + gen_ai.output.messages as JSON.""" def test_input_messages_json_when_flag_enabled(self, mock_span): from opentelemetry.instrumentation.openai.v1.responses_wrappers import ( @@ -350,14 +350,14 @@ def test_base64_jpeg_image(self): # --------------------------------------------------------------------------- -# P2-2: gen_ai.tool.definitions must use JSON when use_messages_attributes +# P2-2: gen_ai.tool.definitions must use JSON # --------------------------------------------------------------------------- class TestP2_2_ToolDefinitionsJson: """set_tools_attributes and _set_functions_attributes should emit a single - JSON string attribute when Config.use_messages_attributes is True.""" + JSON string attribute for gen_ai.tool.definitions.""" - def test_tools_as_json_when_flag_enabled(self, mock_span): + def test_tools_as_json(self, mock_span): tools = [ { "type": "function", @@ -377,9 +377,10 @@ def test_tools_as_json_when_flag_enabled(self, mock_span): parsed = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_TOOL_DEFINITIONS]) assert isinstance(parsed, list) assert len(parsed) == 1 + assert parsed[0]["type"] == "function" assert parsed[0]["name"] == "get_weather" - def test_functions_as_json_when_flag_enabled(self, mock_span): + def test_functions_as_json(self, mock_span): functions = [ { "name": "search", @@ -395,6 +396,7 @@ def test_functions_as_json_when_flag_enabled(self, mock_span): ) parsed = json.loads(mock_span._attrs[GenAIAttributes.GEN_AI_TOOL_DEFINITIONS]) assert isinstance(parsed, list) + assert parsed[0]["type"] == "function" assert parsed[0]["name"] == "search" def test_tools_emits_json_format(self, mock_span): From 21f8695a97d05e84ddeb11f5c54c9edbb4393c96 Mon Sep 17 00:00:00 2001 From: Oz Ben Simhon Date: Sun, 29 Mar 2026 22:15:36 +0300 Subject: [PATCH 21/22] embeddings-fix --- .../instrumentation/openai/shared/__init__.py | 14 ++-- .../openai/shared/chat_wrappers.py | 5 +- .../openai/shared/embeddings_wrappers.py | 20 +++--- .../tests/traces/test_azure.py | 70 ++----------------- .../tests/traces/test_embeddings.py | 26 +++---- 5 files changed, 41 insertions(+), 94 deletions(-) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py index e7662793b3..54407d27d9 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py @@ -15,12 +15,12 @@ openai_attributes as OpenAIAttributes, ) from opentelemetry.semconv_ai import SpanAttributes +from opentelemetry.trace.status import Status, StatusCode from opentelemetry.trace.propagation import set_span_in_context from opentelemetry.trace.propagation.tracecontext import TraceContextTextMapPropagator OPENAI_LLM_USAGE_TOKEN_TYPES = ["prompt_tokens", "completion_tokens"] PROMPT_FILTER_KEY = "prompt_filter_results" -PROMPT_ERROR = "prompt_error" OPENAI_FINISH_REASON_MAP = { "tool_calls": "tool_call", "function_call": "tool_call", @@ -225,11 +225,13 @@ def _set_response_attributes(span, response): return if "error" in response: - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.{PROMPT_ERROR}", - json.dumps(response.get("error")), - ) + error_data = response.get("error") + if isinstance(error_data, dict): + error_type = error_data.get("type") or error_data.get("code") or "api_error" + else: + error_type = "api_error" + _set_span_attribute(span, "error.type", error_type) + span.set_status(Status(StatusCode.ERROR, str(error_data))) return response_model = response.get("model") 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 26ea9d8802..dd74fa2e81 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 @@ -494,8 +494,8 @@ def _map_content_block(block): content = url return {"type": "blob", "modality": "image", "mime_type": mime_type, "content": content} return {"type": "uri", "modality": "image", "uri": url} - # Preserve the type for unrecognized blocks - return {"type": block_type or "unknown", "content": block} + # GenericPart: spread properties for unrecognized blocks + return {"type": block_type or "unknown", **{k: v for k, v in block.items() if k != "type"}} def _map_content_parts(content): """Convert content to OTel parts list. Handles str, list, and None.""" @@ -601,7 +601,6 @@ def _set_output_messages(span, choices): parts.append({ "type": "tool_call", "name": fc_name, - "id": "", "arguments": _parse_arguments(fc_args), }) fr = _map_finish_reason(choice.get("finish_reason")) or "stop" diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/embeddings_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/embeddings_wrappers.py index 4a9a8bf992..7899095f8a 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/embeddings_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/embeddings_wrappers.py @@ -1,3 +1,4 @@ +import json import logging import time from collections.abc import Iterable @@ -272,15 +273,16 @@ def _set_prompts(span, prompt): if not span.is_recording() or not prompt: return - if isinstance(prompt, list): - for i, p in enumerate(prompt): - _set_span_attribute(span, f"{GenAIAttributes.GEN_AI_PROMPT}.{i}.content", p) - else: - _set_span_attribute( - span, - f"{GenAIAttributes.GEN_AI_PROMPT}.0.content", - prompt, - ) + prompts = prompt if isinstance(prompt, list) else [prompt] + messages = [ + {"role": "user", "parts": [{"type": "text", "content": p}]} + for p in prompts + ] + _set_span_attribute( + span, + GenAIAttributes.GEN_AI_INPUT_MESSAGES, + json.dumps(messages), + ) def _emit_embeddings_message_event(embeddings) -> None: diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py index ab22dec608..f03a9f1bc2 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py @@ -11,7 +11,6 @@ from .utils import get_input_messages, get_output_messages PROMPT_FILTER_KEY = "prompt_filter_results" -PROMPT_ERROR = "prompt_error" @pytest.mark.vcr @@ -277,27 +276,8 @@ def test_prompt_content_filtering( ] open_ai_span = spans[0] - assert isinstance( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.{PROMPT_ERROR}"], str - ) - - error = json.loads( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.{PROMPT_ERROR}"] - ) - - assert "innererror" in error - - assert "content_filter_result" in error["innererror"] - - assert error["innererror"]["code"] == "ResponsibleAIPolicyViolation" - - assert error["innererror"]["content_filter_result"]["hate"]["filtered"] - - assert error["innererror"]["content_filter_result"]["hate"]["severity"] == "high" - - assert error["innererror"]["content_filter_result"]["sexual"]["filtered"] is False - - assert error["innererror"]["content_filter_result"]["sexual"]["severity"] == "safe" + assert open_ai_span.attributes.get("error.type") is not None + assert open_ai_span.status.status_code.name == "ERROR" logs = log_exporter.get_finished_logs() assert ( @@ -321,27 +301,8 @@ def test_prompt_content_filtering_with_events_with_content( ] open_ai_span = spans[0] - assert isinstance( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.{PROMPT_ERROR}"], str - ) - - error = json.loads( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.{PROMPT_ERROR}"] - ) - - assert "innererror" in error - - assert "content_filter_result" in error["innererror"] - - assert error["innererror"]["code"] == "ResponsibleAIPolicyViolation" - - assert error["innererror"]["content_filter_result"]["hate"]["filtered"] - - assert error["innererror"]["content_filter_result"]["hate"]["severity"] == "high" - - assert error["innererror"]["content_filter_result"]["sexual"]["filtered"] is False - - assert error["innererror"]["content_filter_result"]["sexual"]["severity"] == "safe" + assert open_ai_span.attributes.get("error.type") is not None + assert open_ai_span.status.status_code.name == "ERROR" logs = log_exporter.get_finished_logs() assert len(logs) == 1, "Should not have a response event because of the error." @@ -370,27 +331,8 @@ def test_prompt_content_filtering_with_events_with_no_content( ] open_ai_span = spans[0] - assert isinstance( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.{PROMPT_ERROR}"], str - ) - - error = json.loads( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.{PROMPT_ERROR}"] - ) - - assert "innererror" in error - - assert "content_filter_result" in error["innererror"] - - assert error["innererror"]["code"] == "ResponsibleAIPolicyViolation" - - assert error["innererror"]["content_filter_result"]["hate"]["filtered"] - - assert error["innererror"]["content_filter_result"]["hate"]["severity"] == "high" - - assert error["innererror"]["content_filter_result"]["sexual"]["filtered"] is False - - assert error["innererror"]["content_filter_result"]["sexual"]["severity"] == "safe" + assert open_ai_span.attributes.get("error.type") is not None + assert open_ai_span.status.status_code.name == "ERROR" logs = log_exporter.get_finished_logs() assert len(logs) == 1, "Should not have a response event because of the error." diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_embeddings.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_embeddings.py index 7a24fb237a..f764a7ede8 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_embeddings.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_embeddings.py @@ -3,6 +3,8 @@ import httpx import openai import pytest + +from .utils import get_input_messages from opentelemetry.sdk._logs import ReadableLogRecord from opentelemetry.semconv._incubating.attributes import ( gen_ai_attributes as GenAIAttributes, @@ -25,10 +27,10 @@ def test_embeddings(instrument_legacy, span_exporter, log_exporter, openai_clien "openai.embeddings", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["type"] == "text" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" assert ( open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "text-embedding-ada-002" @@ -138,10 +140,10 @@ def test_embeddings_with_raw_response( "openai.embeddings", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["type"] == "text" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" assert ( open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] @@ -270,10 +272,10 @@ def test_azure_openai_embeddings(instrument_legacy, span_exporter, log_exporter) "openai.embeddings", ] open_ai_span = spans[0] - assert ( - open_ai_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"] - == "Tell me a joke about opentelemetry" - ) + input_messages = get_input_messages(open_ai_span) + assert input_messages[0]["role"] == "user" + assert input_messages[0]["parts"][0]["type"] == "text" + assert input_messages[0]["parts"][0]["content"] == "Tell me a joke about opentelemetry" assert open_ai_span.attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL] == "embedding" assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 8 assert ( From 4ce3663beb9a14538ef2f23a5cde98b6ac5c0670 Mon Sep 17 00:00:00 2001 From: Oz Ben Simhon Date: Sun, 29 Mar 2026 22:29:49 +0300 Subject: [PATCH 22/22] fix --- .../openai/v1/assistant_wrappers.py | 4 +-- .../tests/traces/test_assistant.py | 36 +++++++++---------- 2 files changed, 20 insertions(+), 20 deletions(-) diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py index 43ff6e281d..07e5cb7ae2 100644 --- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py +++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/v1/assistant_wrappers.py @@ -230,12 +230,12 @@ def messages_list_wrapper(tracer, wrapped, instance, args, kwargs): _set_span_attribute( span, GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS, - usage_dict.get("completion_tokens"), + usage_dict.get("prompt_tokens"), ) _set_span_attribute( span, GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS, - usage_dict.get("prompt_tokens"), + usage_dict.get("completion_tokens"), ) span.end(run.get("end_time")) diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py index aa9f789d8d..3f21e55dbf 100644 --- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py +++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_assistant.py @@ -79,8 +79,8 @@ def test_new_assistant( ) assert input_messages[2]["role"] == "user" assert input_messages[2]["parts"][0]["content"] == user_message - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 155 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 145 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 145 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 155 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" output_messages = get_output_messages(open_ai_span) @@ -150,8 +150,8 @@ def test_new_assistant_with_events_with_content( == "gpt-4-turbo-preview" ) - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 155 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 145 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 145 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 155 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() @@ -230,8 +230,8 @@ def test_new_assistant_with_events_with_no_content( open_ai_span.attributes[GenAIAttributes.GEN_AI_RESPONSE_MODEL] == "gpt-4-turbo-preview" ) - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 155 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 145 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 145 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 155 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() @@ -301,8 +301,8 @@ def test_new_assistant_with_polling( ) assert input_messages[2]["role"] == "user" assert input_messages[2]["parts"][0]["content"] == user_message - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 86 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 374 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 374 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 86 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" output_messages = get_output_messages(open_ai_span) @@ -357,8 +357,8 @@ def test_new_assistant_with_polling_with_events_with_content( assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert open_ai_span.attributes["gen_ai.request.model"] == "gpt-4-turbo-preview" assert open_ai_span.attributes["gen_ai.response.model"] == "gpt-4-turbo-preview" - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 86 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 374 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 374 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 86 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() @@ -431,8 +431,8 @@ def test_new_assistant_with_polling_with_events_with_no_content( assert open_ai_span.attributes[GenAIAttributes.GEN_AI_OPERATION_NAME] == "chat" assert open_ai_span.attributes["gen_ai.request.model"] == "gpt-4-turbo-preview" assert open_ai_span.attributes["gen_ai.response.model"] == "gpt-4-turbo-preview" - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 86 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 374 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 374 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 86 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() @@ -512,8 +512,8 @@ def test_existing_assistant( ) assert input_messages[2]["role"] == "user" assert input_messages[2]["parts"][0]["content"] == user_message - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 170 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 639 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 639 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 170 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" output_messages = get_output_messages(open_ai_span) @@ -579,8 +579,8 @@ def test_existing_assistant_with_events_with_content( == "gpt-4-turbo-preview" ) - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 170 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 639 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 639 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 170 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs() @@ -674,8 +674,8 @@ def test_existing_assistant_with_events_with_no_content( == "gpt-4-turbo-preview" ) - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 170 - assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 639 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] == 639 + assert open_ai_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS] == 170 assert open_ai_span.attributes[GenAIAttributes.GEN_AI_PROVIDER_NAME] == "openai" logs = log_exporter.get_finished_logs()