From a7758b5af87d1879cc900e96ffb2138935b96905 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Wed, 1 Apr 2026 15:50:17 +0200 Subject: [PATCH 01/19] fix(litellm): Avoid double span exits when streaming --- sentry_sdk/integrations/litellm.py | 10 +- tests/conftest.py | 114 +++++++++++++++++++++ tests/integrations/litellm/test_litellm.py | 69 ++++++++++--- 3 files changed, 174 insertions(+), 19 deletions(-) diff --git a/sentry_sdk/integrations/litellm.py b/sentry_sdk/integrations/litellm.py index 28bcc34d3e..553c604219 100644 --- a/sentry_sdk/integrations/litellm.py +++ b/sentry_sdk/integrations/litellm.py @@ -230,8 +230,14 @@ def _success_callback( ) finally: - # Always finish the span and clean up - span.__exit__(None, None, None) + is_streaming = kwargs.get("stream") + # Callback is fired multiple times when streaming a response. + # Flag checked at https://github.com/BerriAI/litellm/blob/33c3f13443eaf990ac8c6e3da78bddbc2b7d0e7a/litellm/litellm_core_utils/litellm_logging.py#L1603 + if ( + is_streaming is not True + or kwargs.get("complete_streaming_response") is not None + ): + span.__exit__(None, None, None) def _failure_callback( diff --git a/tests/conftest.py b/tests/conftest.py index 71f2431aac..d1cd95fb77 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1063,6 +1063,120 @@ def inner(response_content, serialize_pydantic=False, request_headers=None): return inner +@pytest.fixture +def streaming_chat_completions_model_response(): + return [ + openai.types.chat.ChatCompletionChunk( + id="chatcmpl-test", + object="chat.completion.chunk", + created=10000000, + model="gpt-3.5-turbo", + choices=[ + openai.types.chat.chat_completion_chunk.Choice( + index=0, + delta=openai.types.chat.chat_completion_chunk.ChoiceDelta( + role="assistant" + ), + finish_reason=None, + ), + ], + ), + openai.types.chat.ChatCompletionChunk( + id="chatcmpl-test", + object="chat.completion.chunk", + created=10000000, + model="gpt-3.5-turbo", + choices=[ + openai.types.chat.chat_completion_chunk.Choice( + index=0, + delta=openai.types.chat.chat_completion_chunk.ChoiceDelta( + content="Tes" + ), + finish_reason=None, + ), + ], + ), + openai.types.chat.ChatCompletionChunk( + id="chatcmpl-test", + object="chat.completion.chunk", + created=10000000, + model="gpt-3.5-turbo", + choices=[ + openai.types.chat.chat_completion_chunk.Choice( + index=0, + delta=openai.types.chat.chat_completion_chunk.ChoiceDelta( + content="t r" + ), + finish_reason=None, + ), + ], + ), + openai.types.chat.ChatCompletionChunk( + id="chatcmpl-test", + object="chat.completion.chunk", + created=10000000, + model="gpt-3.5-turbo", + choices=[ + openai.types.chat.chat_completion_chunk.Choice( + index=0, + delta=openai.types.chat.chat_completion_chunk.ChoiceDelta( + content="esp" + ), + finish_reason=None, + ), + ], + ), + openai.types.chat.ChatCompletionChunk( + id="chatcmpl-test", + object="chat.completion.chunk", + created=10000000, + model="gpt-3.5-turbo", + choices=[ + openai.types.chat.chat_completion_chunk.Choice( + index=0, + delta=openai.types.chat.chat_completion_chunk.ChoiceDelta( + content="ons" + ), + finish_reason=None, + ), + ], + ), + openai.types.chat.ChatCompletionChunk( + id="chatcmpl-test", + object="chat.completion.chunk", + created=10000000, + model="gpt-3.5-turbo", + choices=[ + openai.types.chat.chat_completion_chunk.Choice( + index=0, + delta=openai.types.chat.chat_completion_chunk.ChoiceDelta( + content="e" + ), + finish_reason=None, + ), + ], + ), + openai.types.chat.ChatCompletionChunk( + id="chatcmpl-test", + object="chat.completion.chunk", + created=10000000, + model="gpt-3.5-turbo", + choices=[ + openai.types.chat.chat_completion_chunk.Choice( + index=0, + delta=openai.types.chat.chat_completion_chunk.ChoiceDelta(), + finish_reason="stop", + ), + ], + usage=openai.types.CompletionUsage( + prompt_tokens=10, + completion_tokens=20, + total_tokens=30, + ), + ), + ] + + @pytest.fixture def nonstreaming_responses_model_response(): return openai.types.responses.Response( diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index 9022093fa3..43c7602b3f 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -31,10 +31,22 @@ async def __call__(self, *args, **kwargs): ) from sentry_sdk.utils import package_version +from openai import OpenAI + +from concurrent.futures import ThreadPoolExecutor + +import litellm.litellm_core_utils.streaming_handler as streaming_handler + LITELLM_VERSION = package_version("litellm") +@pytest.fixture() +def reset_litellm_executor(): + yield + streaming_handler.executor = ThreadPoolExecutor(max_workers=100) + + @pytest.fixture def clear_litellm_cache(): """ @@ -212,7 +224,14 @@ def test_nonstreaming_chat_completion( ], ) def test_streaming_chat_completion( - sentry_init, capture_events, send_default_pii, include_prompts + reset_litellm_executor, + sentry_init, + capture_events, + send_default_pii, + include_prompts, + get_model_response, + server_side_event_chunks, + streaming_chat_completions_model_response, ): sentry_init( integrations=[LiteLLMIntegration(include_prompts=include_prompts)], @@ -222,29 +241,45 @@ def test_streaming_chat_completion( events = capture_events() messages = [{"role": "user", "content": "Hello!"}] - mock_response = MockCompletionResponse() - with start_transaction(name="litellm test"): - kwargs = { - "model": "gpt-3.5-turbo", - "messages": messages, - "stream": True, - } + client = OpenAI(api_key="z") - _input_callback(kwargs) - _success_callback( - kwargs, - mock_response, - datetime.now(), - datetime.now(), - ) + model_response = get_model_response( + server_side_event_chunks( + streaming_chat_completions_model_response, + include_event_type=False, + ), + request_headers={"X-Stainless-Raw-Response": "True"}, + ) + + with mock.patch.object( + client.completions._client._client, + "send", + return_value=model_response, + ): + with start_transaction(name="litellm test"): + response = litellm.completion( + model="gpt-3.5-turbo", + messages=messages, + client=client, + stream=True, + ) + for chunk in response: + pass + + streaming_handler.executor.shutdown(wait=True) assert len(events) == 1 (event,) = events assert event["type"] == "transaction" - assert len(event["spans"]) == 1 - (span,) = event["spans"] + chat_spans = list( + x + for x in event["spans"] + if x["op"] == OP.GEN_AI_CHAT and x["origin"] == "auto.ai.litellm" + ) + assert len(chat_spans) == 1 + span = chat_spans[0] assert span["op"] == OP.GEN_AI_CHAT assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True From 3f761e933b40f2f6474d048eba61b17ebdad586a Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Wed, 1 Apr 2026 16:03:39 +0200 Subject: [PATCH 02/19] simplify --- sentry_sdk/integrations/litellm.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/sentry_sdk/integrations/litellm.py b/sentry_sdk/integrations/litellm.py index 553c604219..1cc06d57a8 100644 --- a/sentry_sdk/integrations/litellm.py +++ b/sentry_sdk/integrations/litellm.py @@ -233,10 +233,7 @@ def _success_callback( is_streaming = kwargs.get("stream") # Callback is fired multiple times when streaming a response. # Flag checked at https://github.com/BerriAI/litellm/blob/33c3f13443eaf990ac8c6e3da78bddbc2b7d0e7a/litellm/litellm_core_utils/litellm_logging.py#L1603 - if ( - is_streaming is not True - or kwargs.get("complete_streaming_response") is not None - ): + if is_streaming is not True or "complete_streaming_response" in kwargs: span.__exit__(None, None, None) From 1f94674ea847400e485b97c889d87de00b273d54 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Wed, 1 Apr 2026 16:07:47 +0200 Subject: [PATCH 03/19] test cleanup --- tests/integrations/litellm/test_litellm.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index 43c7602b3f..493a6ca359 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -35,7 +35,9 @@ async def __call__(self, *args, **kwargs): from concurrent.futures import ThreadPoolExecutor -import litellm.litellm_core_utils.streaming_handler as streaming_handler +import litellm.utils as litellm_utils +from litellm.litellm_core_utils import streaming_handler +from litellm.litellm_core_utils import thread_pool_executor LITELLM_VERSION = package_version("litellm") @@ -44,7 +46,9 @@ async def __call__(self, *args, **kwargs): @pytest.fixture() def reset_litellm_executor(): yield - streaming_handler.executor = ThreadPoolExecutor(max_workers=100) + thread_pool_executor.executor = ThreadPoolExecutor(max_workers=100) + litellm_utils.executor = thread_pool_executor.executor + streaming_handler.executor = thread_pool_executor.executor @pytest.fixture From c31472c54a50e98bbffce538bbae4c733ff4077f Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Wed, 1 Apr 2026 16:09:35 +0200 Subject: [PATCH 04/19] docs --- sentry_sdk/integrations/litellm.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sentry_sdk/integrations/litellm.py b/sentry_sdk/integrations/litellm.py index 1cc06d57a8..6e3d444954 100644 --- a/sentry_sdk/integrations/litellm.py +++ b/sentry_sdk/integrations/litellm.py @@ -232,7 +232,7 @@ def _success_callback( finally: is_streaming = kwargs.get("stream") # Callback is fired multiple times when streaming a response. - # Flag checked at https://github.com/BerriAI/litellm/blob/33c3f13443eaf990ac8c6e3da78bddbc2b7d0e7a/litellm/litellm_core_utils/litellm_logging.py#L1603 + # Streaming flag checked at https://github.com/BerriAI/litellm/blob/33c3f13443eaf990ac8c6e3da78bddbc2b7d0e7a/litellm/litellm_core_utils/litellm_logging.py#L1603 if is_streaming is not True or "complete_streaming_response" in kwargs: span.__exit__(None, None, None) From 50d0b1fb14c3473f45fc96e7763082f2eb5c0f32 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Thu, 2 Apr 2026 10:31:49 +0200 Subject: [PATCH 05/19] use underscore --- tests/integrations/litellm/test_litellm.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index 493a6ca359..3403c2e5a0 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -268,7 +268,7 @@ def test_streaming_chat_completion( client=client, stream=True, ) - for chunk in response: + for _ in response: pass streaming_handler.executor.shutdown(wait=True) From edd8a90f0c2c552a547c818063c2c91a9b5e2f20 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Thu, 2 Apr 2026 10:49:48 +0200 Subject: [PATCH 06/19] test(litellm): Replace mocks with httpx types in nonstreaming tests --- tests/integrations/litellm/test_litellm.py | 51 ++++++++++++++-------- 1 file changed, 34 insertions(+), 17 deletions(-) diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index 3403c2e5a0..9282905fab 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -163,7 +163,13 @@ def model_dump(self): ], ) def test_nonstreaming_chat_completion( - sentry_init, capture_events, send_default_pii, include_prompts + reset_litellm_executor, + sentry_init, + capture_events, + send_default_pii, + include_prompts, + get_model_response, + nonstreaming_chat_completions_model_response, ): sentry_init( integrations=[LiteLLMIntegration(include_prompts=include_prompts)], @@ -173,22 +179,28 @@ def test_nonstreaming_chat_completion( events = capture_events() messages = [{"role": "user", "content": "Hello!"}] - mock_response = MockCompletionResponse() - with start_transaction(name="litellm test"): - # Simulate what litellm does: call input callback, then success callback - kwargs = { - "model": "gpt-3.5-turbo", - "messages": messages, - } + client = OpenAI(api_key="z") - _input_callback(kwargs) - _success_callback( - kwargs, - mock_response, - datetime.now(), - datetime.now(), - ) + model_response = get_model_response( + nonstreaming_chat_completions_model_response, + serialize_pydantic=True, + request_headers={"X-Stainless-Raw-Response": "True"}, + ) + + with mock.patch.object( + client.completions._client._client, + "send", + return_value=model_response, + ): + with start_transaction(name="litellm test"): + litellm.completion( + model="gpt-3.5-turbo", + messages=messages, + client=client, + ) + + litellm_utils.executor.shutdown(wait=True) assert len(events) == 1 (event,) = events @@ -196,8 +208,13 @@ def test_nonstreaming_chat_completion( assert event["type"] == "transaction" assert event["transaction"] == "litellm test" - assert len(event["spans"]) == 1 - (span,) = event["spans"] + chat_spans = list( + x + for x in event["spans"] + if x["op"] == OP.GEN_AI_CHAT and x["origin"] == "auto.ai.litellm" + ) + assert len(chat_spans) == 1 + span = chat_spans[0] assert span["op"] == OP.GEN_AI_CHAT assert span["description"] == "chat gpt-3.5-turbo" From ec3d128115459de4992d0afbf87282fca151a4cf Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Thu, 2 Apr 2026 13:50:55 +0200 Subject: [PATCH 07/19] add fixture --- tests/conftest.py | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) diff --git a/tests/conftest.py b/tests/conftest.py index d1cd95fb77..c6dc92d2b2 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1177,6 +1177,30 @@ def streaming_chat_completions_model_response(): ] +@pytest.fixture +def nonstreaming_chat_completions_model_response(): + return openai.types.chat.ChatCompletion( + id="chatcmpl-test", + choices=[ + openai.types.chat.chat_completion.Choice( + index=0, + finish_reason="stop", + message=openai.types.chat.ChatCompletionMessage( + role="assistant", content="Test response" + ), + ) + ], + created=1234567890, + model="gpt-3.5-turbo", + object="chat.completion", + usage=openai.types.CompletionUsage( + prompt_tokens=10, + completion_tokens=20, + total_tokens=30, + ), + ) + + @pytest.fixture def nonstreaming_responses_model_response(): return openai.types.responses.Response( From a4b9b3a871583d75d971b411e4d2fbde0561965c Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Tue, 7 Apr 2026 09:01:36 +0200 Subject: [PATCH 08/19] more mocks --- tests/integrations/litellm/test_litellm.py | 428 ++++++++++++++------- 1 file changed, 286 insertions(+), 142 deletions(-) diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index 9282905fab..6c7184de71 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -38,19 +38,24 @@ async def __call__(self, *args, **kwargs): import litellm.utils as litellm_utils from litellm.litellm_core_utils import streaming_handler from litellm.litellm_core_utils import thread_pool_executor +from litellm.llms.custom_httpx.http_handler import HTTPHandler LITELLM_VERSION = package_version("litellm") -@pytest.fixture() -def reset_litellm_executor(): - yield +def _reset_litellm_executor(): thread_pool_executor.executor = ThreadPoolExecutor(max_workers=100) litellm_utils.executor = thread_pool_executor.executor streaming_handler.executor = thread_pool_executor.executor +@pytest.fixture() +def reset_litellm_executor(): + yield + _reset_litellm_executor() + + @pytest.fixture def clear_litellm_cache(): """ @@ -477,7 +482,13 @@ def test_exception_handling(sentry_init, capture_events): assert len(error_events) == 1 -def test_span_origin(sentry_init, capture_events): +def test_span_origin( + reset_litellm_executor, + sentry_init, + capture_events, + get_model_response, + nonstreaming_chat_completions_model_response, +): sentry_init( integrations=[LiteLLMIntegration()], traces_sample_rate=1.0, @@ -485,21 +496,28 @@ def test_span_origin(sentry_init, capture_events): events = capture_events() messages = [{"role": "user", "content": "Hello!"}] - mock_response = MockCompletionResponse() - with start_transaction(name="litellm test"): - kwargs = { - "model": "gpt-3.5-turbo", - "messages": messages, - } + client = OpenAI(api_key="z") - _input_callback(kwargs) - _success_callback( - kwargs, - mock_response, - datetime.now(), - datetime.now(), - ) + model_response = get_model_response( + nonstreaming_chat_completions_model_response, + serialize_pydantic=True, + request_headers={"X-Stainless-Raw-Response": "True"}, + ) + + with mock.patch.object( + client.completions._client._client, + "send", + return_value=model_response, + ): + with start_transaction(name="litellm test"): + litellm.completion( + model="gpt-3.5-turbo", + messages=messages, + client=client, + ) + + litellm_utils.executor.shutdown(wait=True) (event,) = events @@ -507,7 +525,15 @@ def test_span_origin(sentry_init, capture_events): assert event["spans"][0]["origin"] == "auto.ai.litellm" -def test_multiple_providers(sentry_init, capture_events): +def test_multiple_providers( + reset_litellm_executor, + sentry_init, + capture_events, + get_model_response, + nonstreaming_chat_completions_model_response, + nonstreaming_anthropic_model_response, + nonstreaming_google_genai_model_response, +): """Test that the integration correctly identifies different providers.""" sentry_init( integrations=[LiteLLMIntegration()], @@ -517,38 +543,89 @@ def test_multiple_providers(sentry_init, capture_events): messages = [{"role": "user", "content": "Hello!"}] - # Test with different model prefixes - test_cases = [ - ("gpt-3.5-turbo", "openai"), - ("claude-3-opus-20240229", "anthropic"), - ("gemini/gemini-pro", "gemini"), - ] + openai_client = OpenAI(api_key="z") + openai_model_response = get_model_response( + nonstreaming_chat_completions_model_response, + serialize_pydantic=True, + request_headers={"X-Stainless-Raw-Response": "True"}, + ) + + with mock.patch.object( + openai_client.completions._client._client, + "send", + return_value=openai_model_response, + ): + with start_transaction(name="test gpt-3.5-turbo"): + litellm.completion( + model="gpt-3.5-turbo", + messages=messages, + client=openai_client, + ) + + litellm_utils.executor.shutdown(wait=True) + + _reset_litellm_executor() + + anthropic_client = HTTPHandler() + anthropic_model_response = get_model_response( + nonstreaming_anthropic_model_response, + serialize_pydantic=True, + request_headers={"X-Stainless-Raw-Response": "True"}, + ) + + with mock.patch.object( + anthropic_client, + "post", + return_value=anthropic_model_response, + ): + with start_transaction(name="test claude-3-opus-20240229"): + litellm.completion( + model="claude-3-opus-20240229", + messages=messages, + client=anthropic_client, + api_key="z", + ) + + litellm_utils.executor.shutdown(wait=True) + + _reset_litellm_executor() + + gemini_client = HTTPHandler() + gemini_model_response = get_model_response( + nonstreaming_google_genai_model_response, + serialize_pydantic=True, + ) - for model, _ in test_cases: - mock_response = MockCompletionResponse(model=model) - with start_transaction(name=f"test {model}"): - kwargs = { - "model": model, - "messages": messages, - } - - _input_callback(kwargs) - _success_callback( - kwargs, - mock_response, - datetime.now(), - datetime.now(), + with mock.patch.object( + gemini_client, + "post", + return_value=gemini_model_response, + ): + with start_transaction(name="test gemini/gemini-pro"): + litellm.completion( + model="gemini/gemini-pro", + messages=messages, + client=gemini_client, + api_key="z", ) - assert len(events) == len(test_cases) + litellm_utils.executor.shutdown(wait=True) + + assert len(events) == 3 - for i in range(len(test_cases)): + for i in range(3): span = events[i]["spans"][0] # The provider should be detected by litellm.get_llm_provider assert SPANDATA.GEN_AI_SYSTEM in span["data"] -def test_additional_parameters(sentry_init, capture_events): +def test_additional_parameters( + reset_litellm_executor, + sentry_init, + capture_events, + get_model_response, + nonstreaming_chat_completions_model_response, +): """Test that additional parameters are captured.""" sentry_init( integrations=[LiteLLMIntegration()], @@ -557,29 +634,41 @@ def test_additional_parameters(sentry_init, capture_events): events = capture_events() messages = [{"role": "user", "content": "Hello!"}] - mock_response = MockCompletionResponse() + client = OpenAI(api_key="z") - with start_transaction(name="litellm test"): - kwargs = { - "model": "gpt-3.5-turbo", - "messages": messages, - "temperature": 0.7, - "max_tokens": 100, - "top_p": 0.9, - "frequency_penalty": 0.5, - "presence_penalty": 0.5, - } + model_response = get_model_response( + nonstreaming_chat_completions_model_response, + serialize_pydantic=True, + request_headers={"X-Stainless-Raw-Response": "True"}, + ) - _input_callback(kwargs) - _success_callback( - kwargs, - mock_response, - datetime.now(), - datetime.now(), - ) + with mock.patch.object( + client.completions._client._client, + "send", + return_value=model_response, + ): + with start_transaction(name="litellm test"): + litellm.completion( + model="gpt-3.5-turbo", + messages=messages, + client=client, + temperature=0.7, + max_tokens=100, + top_p=0.9, + frequency_penalty=0.5, + presence_penalty=0.5, + ) + + litellm_utils.executor.shutdown(wait=True) (event,) = events - (span,) = event["spans"] + chat_spans = list( + x + for x in event["spans"] + if x["op"] == OP.GEN_AI_CHAT and x["origin"] == "auto.ai.litellm" + ) + assert len(chat_spans) == 1 + span = chat_spans[0] assert span["data"][SPANDATA.GEN_AI_REQUEST_TEMPERATURE] == 0.7 assert span["data"][SPANDATA.GEN_AI_REQUEST_MAX_TOKENS] == 100 @@ -624,7 +713,13 @@ def test_litellm_specific_parameters(sentry_init, capture_events): assert span["data"]["gen_ai.litellm.custom_llm_provider"] == "custom_provider" -def test_no_integration(sentry_init, capture_events): +def test_no_integration( + reset_litellm_executor, + sentry_init, + capture_events, + get_model_response, + nonstreaming_chat_completions_model_response, +): """Test that when integration is not enabled, callbacks don't break.""" sentry_init( traces_sample_rate=1.0, @@ -632,28 +727,37 @@ def test_no_integration(sentry_init, capture_events): events = capture_events() messages = [{"role": "user", "content": "Hello!"}] - mock_response = MockCompletionResponse() + client = OpenAI(api_key="z") - with start_transaction(name="litellm test"): - # When the integration isn't enabled, the callbacks should exit early - kwargs = { - "model": "gpt-3.5-turbo", - "messages": messages, - } + model_response = get_model_response( + nonstreaming_chat_completions_model_response, + serialize_pydantic=True, + request_headers={"X-Stainless-Raw-Response": "True"}, + ) - # These should not crash, just do nothing - _input_callback(kwargs) - _success_callback( - kwargs, - mock_response, - datetime.now(), - datetime.now(), - ) + with mock.patch.object( + client.completions._client._client, + "send", + return_value=model_response, + ): + with start_transaction(name="litellm test"): + litellm.completion( + model="gpt-3.5-turbo", + messages=messages, + client=client, + ) + + litellm_utils.executor.shutdown(wait=True) (event,) = events # Should still have the transaction, but no child spans since integration is off assert event["type"] == "transaction" - assert len(event.get("spans", [])) == 0 + chat_spans = list( + x + for x in event["spans"] + if x["op"] == OP.GEN_AI_CHAT and x["origin"] == "auto.ai.litellm" + ) + assert len(chat_spans) == 0 def test_response_without_usage(sentry_init, capture_events): @@ -711,50 +815,6 @@ def test_integration_setup(sentry_init): assert _failure_callback in (litellm.failure_callback or []) -def test_message_dict_extraction(sentry_init, capture_events): - """Test that response messages are properly extracted with dict() fallback.""" - sentry_init( - integrations=[LiteLLMIntegration(include_prompts=True)], - traces_sample_rate=1.0, - send_default_pii=True, - ) - events = capture_events() - - messages = [{"role": "user", "content": "Hello!"}] - - # Create a message that has dict() method instead of model_dump() - class DictMessage: - def __init__(self): - self.role = "assistant" - self.content = "Response" - self.tool_calls = None - - def dict(self): - return {"role": self.role, "content": self.content} - - mock_response = MockCompletionResponse(choices=[MockChoice(message=DictMessage())]) - - with start_transaction(name="litellm test"): - kwargs = { - "model": "gpt-3.5-turbo", - "messages": messages, - } - - _input_callback(kwargs) - _success_callback( - kwargs, - mock_response, - datetime.now(), - datetime.now(), - ) - - (event,) = events - (span,) = event["spans"] - - # Should have extracted the response message - assert SPANDATA.GEN_AI_RESPONSE_TEXT in span["data"] - - def test_litellm_message_truncation(sentry_init, capture_events): """Test that large messages are truncated properly in LiteLLM integration.""" sentry_init( @@ -817,7 +877,13 @@ def test_litellm_message_truncation(sentry_init, capture_events): IMAGE_DATA_URI = f"data:image/png;base64,{IMAGE_B64}" -def test_binary_content_encoding_image_url(sentry_init, capture_events): +def test_binary_content_encoding_image_url( + reset_litellm_executor, + sentry_init, + capture_events, + get_model_response, + nonstreaming_chat_completions_model_response, +): sentry_init( integrations=[LiteLLMIntegration(include_prompts=True)], traces_sample_rate=1.0, @@ -837,15 +903,37 @@ def test_binary_content_encoding_image_url(sentry_init, capture_events): ], } ] - mock_response = MockCompletionResponse() + client = OpenAI(api_key="z") - with start_transaction(name="litellm test"): - kwargs = {"model": "gpt-4-vision-preview", "messages": messages} - _input_callback(kwargs) - _success_callback(kwargs, mock_response, datetime.now(), datetime.now()) + model_response = get_model_response( + nonstreaming_chat_completions_model_response, + serialize_pydantic=True, + request_headers={"X-Stainless-Raw-Response": "True"}, + ) + + with mock.patch.object( + client.completions._client._client, + "send", + return_value=model_response, + ): + with start_transaction(name="litellm test"): + litellm.completion( + model="gpt-4-vision-preview", + messages=messages, + client=client, + custom_llm_provider="openai", + ) + + litellm_utils.executor.shutdown(wait=True) (event,) = events - (span,) = event["spans"] + chat_spans = list( + x + for x in event["spans"] + if x["op"] == OP.GEN_AI_CHAT and x["origin"] == "auto.ai.litellm" + ) + assert len(chat_spans) == 1 + span = chat_spans[0] messages_data = json.loads(span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]) blob_item = next( @@ -867,7 +955,13 @@ def test_binary_content_encoding_image_url(sentry_init, capture_events): ) -def test_binary_content_encoding_mixed_content(sentry_init, capture_events): +def test_binary_content_encoding_mixed_content( + reset_litellm_executor, + sentry_init, + capture_events, + get_model_response, + nonstreaming_chat_completions_model_response, +): sentry_init( integrations=[LiteLLMIntegration(include_prompts=True)], traces_sample_rate=1.0, @@ -888,15 +982,37 @@ def test_binary_content_encoding_mixed_content(sentry_init, capture_events): ], } ] - mock_response = MockCompletionResponse() + client = OpenAI(api_key="z") - with start_transaction(name="litellm test"): - kwargs = {"model": "gpt-4-vision-preview", "messages": messages} - _input_callback(kwargs) - _success_callback(kwargs, mock_response, datetime.now(), datetime.now()) + model_response = get_model_response( + nonstreaming_chat_completions_model_response, + serialize_pydantic=True, + request_headers={"X-Stainless-Raw-Response": "True"}, + ) + + with mock.patch.object( + client.completions._client._client, + "send", + return_value=model_response, + ): + with start_transaction(name="litellm test"): + litellm.completion( + model="gpt-4-vision-preview", + messages=messages, + client=client, + custom_llm_provider="openai", + ) + + litellm_utils.executor.shutdown(wait=True) (event,) = events - (span,) = event["spans"] + chat_spans = list( + x + for x in event["spans"] + if x["op"] == OP.GEN_AI_CHAT and x["origin"] == "auto.ai.litellm" + ) + assert len(chat_spans) == 1 + span = chat_spans[0] messages_data = json.loads(span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]) content_items = [ @@ -906,7 +1022,13 @@ def test_binary_content_encoding_mixed_content(sentry_init, capture_events): assert any(item.get("type") == "blob" for item in content_items) -def test_binary_content_encoding_uri_type(sentry_init, capture_events): +def test_binary_content_encoding_uri_type( + reset_litellm_executor, + sentry_init, + capture_events, + get_model_response, + nonstreaming_chat_completions_model_response, +): sentry_init( integrations=[LiteLLMIntegration(include_prompts=True)], traces_sample_rate=1.0, @@ -925,15 +1047,37 @@ def test_binary_content_encoding_uri_type(sentry_init, capture_events): ], } ] - mock_response = MockCompletionResponse() + client = OpenAI(api_key="z") - with start_transaction(name="litellm test"): - kwargs = {"model": "gpt-4-vision-preview", "messages": messages} - _input_callback(kwargs) - _success_callback(kwargs, mock_response, datetime.now(), datetime.now()) + model_response = get_model_response( + nonstreaming_chat_completions_model_response, + serialize_pydantic=True, + request_headers={"X-Stainless-Raw-Response": "True"}, + ) + + with mock.patch.object( + client.completions._client._client, + "send", + return_value=model_response, + ): + with start_transaction(name="litellm test"): + litellm.completion( + model="gpt-4-vision-preview", + messages=messages, + client=client, + custom_llm_provider="openai", + ) + + litellm_utils.executor.shutdown(wait=True) (event,) = events - (span,) = event["spans"] + chat_spans = list( + x + for x in event["spans"] + if x["op"] == OP.GEN_AI_CHAT and x["origin"] == "auto.ai.litellm" + ) + assert len(chat_spans) == 1 + span = chat_spans[0] messages_data = json.loads(span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]) uri_item = next( From 9ae99beae02c1754c6d072f5be88e8289c324d1a Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Tue, 7 Apr 2026 09:02:37 +0200 Subject: [PATCH 09/19] update tox --- scripts/populate_tox/config.py | 3 + .../populate_tox/package_dependencies.jsonl | 26 ++-- scripts/populate_tox/releases.jsonl | 44 +++--- tests/conftest.py | 67 ++++++++- tox.ini | 140 +++++++++--------- 5 files changed, 175 insertions(+), 105 deletions(-) diff --git a/scripts/populate_tox/config.py b/scripts/populate_tox/config.py index d0d884150a..af2fdb5482 100644 --- a/scripts/populate_tox/config.py +++ 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Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy"], "name": "tornado", "requires_python": ">=3.9", "version": "6.5.5", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "tornado-6.5.5-cp39-abi3-macosx_10_9_universal2.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.5-cp39-abi3-macosx_10_9_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.5-cp39-abi3-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.5-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.5-cp39-abi3-musllinux_1_2_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.5-cp39-abi3-musllinux_1_2_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.5-cp39-abi3-win32.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.5-cp39-abi3-win_amd64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.5-cp39-abi3-win_arm64.whl"}, {"packagetype": "sdist", "filename": "tornado-6.5.5.tar.gz"}]} diff --git a/tests/conftest.py b/tests/conftest.py index c6dc92d2b2..effe758091 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -54,6 +54,18 @@ openai = None +try: + import anthropic +except ImportError: + anthropic = None + + +try: + import google +except ImportError: + google = None + + from tests import _warning_recorder, _warning_recorder_mgr from typing import TYPE_CHECKING @@ -1050,7 +1062,12 @@ def inner(response_content, serialize_pydantic=False, request_headers=None): ) if serialize_pydantic: - response_content = json.dumps(response_content.model_dump()).encode("utf-8") + response_content = json.dumps( + response_content.model_dump( + by_alias=True, + exclude_none=True, + ) + ).encode("utf-8") response = HttpxResponse( 200, @@ -1240,6 +1257,54 @@ def nonstreaming_responses_model_response(): ) +@pytest.fixture +def nonstreaming_anthropic_model_response(): + return anthropic.types.Message( + id="msg_123", + type="message", + role="assistant", + model="claude-3-opus-20240229", + content=[ + anthropic.types.TextBlock( + type="text", + text="Hello, how can I help you?", + ) + ], + stop_reason="end_turn", + stop_sequence=None, + usage=anthropic.types.Usage( + input_tokens=10, + output_tokens=20, + ), + ) + + +@pytest.fixture +def nonstreaming_google_genai_model_response(): + return google.genai.types.GenerateContentResponse( + response_id="resp_123", + candidates=[ + google.genai.types.Candidate( + content=google.genai.types.Content( + role="model", + parts=[ + google.genai.types.Part( + text="Hello, how can I help you?", + ) + ], + ), + finish_reason="STOP", + ) + ], + model_version="gemini/gemini-pro", + usage_metadata=google.genai.types.GenerateContentResponseUsageMetadata( + prompt_token_count=10, + candidates_token_count=20, + total_token_count=30, + ), + ) + + @pytest.fixture def responses_tool_call_model_responses(): def inner( diff --git a/tox.ini b/tox.ini index 1780891a72..131b7538c5 100644 --- a/tox.ini +++ b/tox.ini @@ -59,7 +59,7 @@ envlist = {py3.10,py3.12,py3.13}-mcp-v1.15.0 {py3.10,py3.12,py3.13}-mcp-v1.19.0 {py3.10,py3.12,py3.13}-mcp-v1.23.3 - {py3.10,py3.12,py3.13}-mcp-v1.26.0 + {py3.10,py3.12,py3.13}-mcp-v1.27.0 {py3.10,py3.12,py3.13}-mcp-latest {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.1.0 @@ -74,37 +74,37 @@ envlist = {py3.10,py3.11,py3.12}-openai_agents-v0.0.19 {py3.10,py3.12,py3.13}-openai_agents-v0.4.2 {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.8.4 - {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.13.3 + {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.13.5 {py3.10,py3.13,py3.14,py3.14t}-openai_agents-latest {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.24.0 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.49.0 - {py3.10,py3.13,py3.14}-pydantic_ai-v1.73.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.25.1 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.51.0 + {py3.10,py3.13,py3.14}-pydantic_ai-v1.77.0 {py3.10,py3.13,py3.14}-pydantic_ai-latest # ~~~ AI Workflow ~~~ {py3.9,py3.11,py3.12}-langchain-base-v0.1.20 {py3.9,py3.12,py3.13}-langchain-base-v0.3.28 - {py3.10,py3.13,py3.14}-langchain-base-v1.2.13 + {py3.10,py3.13,py3.14}-langchain-base-v1.2.15 {py3.10,py3.13,py3.14}-langchain-base-latest {py3.9,py3.11,py3.12}-langchain-notiktoken-v0.1.20 {py3.9,py3.12,py3.13}-langchain-notiktoken-v0.3.28 - {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.2.13 + {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.2.15 {py3.10,py3.13,py3.14}-langchain-notiktoken-latest {py3.9,py3.13,py3.14}-langgraph-v0.6.11 - {py3.10,py3.12,py3.13}-langgraph-v1.1.3 + {py3.10,py3.12,py3.13}-langgraph-v1.1.6 {py3.10,py3.12,py3.13}-langgraph-latest # ~~~ AI ~~~ {py3.8,py3.11,py3.12}-anthropic-v0.16.0 - {py3.8,py3.11,py3.12}-anthropic-v0.39.0 - {py3.8,py3.12,py3.13}-anthropic-v0.62.0 - {py3.9,py3.13,py3.14,py3.14t}-anthropic-v0.86.0 + {py3.8,py3.11,py3.12}-anthropic-v0.40.0 + {py3.8,py3.12,py3.13}-anthropic-v0.64.0 + {py3.9,py3.13,py3.14,py3.14t}-anthropic-v0.89.0 {py3.9,py3.13,py3.14,py3.14t}-anthropic-latest {py3.9,py3.10,py3.11}-cohere-v5.4.0 @@ -114,20 +114,20 @@ envlist = {py3.9,py3.13,py3.14}-cohere-latest {py3.9,py3.12,py3.13}-google_genai-v1.29.0 - {py3.9,py3.12,py3.13}-google_genai-v1.42.0 - {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.55.0 - {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.69.0 + {py3.9,py3.12,py3.13}-google_genai-v1.43.0 + {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.57.0 + {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.70.0 {py3.10,py3.13,py3.14,py3.14t}-google_genai-latest {py3.8,py3.10,py3.11}-huggingface_hub-v0.24.7 {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.2 - {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.8.0 - {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-latest + {py3.10,py3.13,py3.14,py3.14t}-huggingface_hub-v1.9.0 + {py3.10,py3.13,py3.14,py3.14t}-huggingface_hub-latest {py3.9,py3.12,py3.13}-litellm-v1.77.7 {py3.9,py3.12,py3.13}-litellm-v1.79.3 {py3.9,py3.12,py3.13}-litellm-v1.81.16 - {py3.9,py3.13,py3.14}-litellm-v1.83.0 + {py3.9,py3.13,py3.14}-litellm-v1.83.3 {py3.9,py3.13,py3.14}-litellm-latest {py3.8,py3.11,py3.12}-openai-base-v1.0.1 @@ -145,7 +145,7 @@ envlist = {py3.6,py3.7}-boto3-v1.12.49 {py3.6,py3.9,py3.10}-boto3-v1.21.46 {py3.7,py3.11,py3.12}-boto3-v1.33.13 - {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.79 + {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.83 {py3.9,py3.13,py3.14,py3.14t}-boto3-latest {py3.6,py3.7,py3.8}-chalice-v1.16.0 @@ -182,7 +182,7 @@ envlist = {py3.6,py3.8,py3.9}-sqlalchemy-v1.2.19 {py3.6,py3.11,py3.12}-sqlalchemy-v1.4.54 - {py3.7,py3.12,py3.13}-sqlalchemy-v2.0.48 + {py3.7,py3.12,py3.13}-sqlalchemy-v2.0.49 {py3.10,py3.13,py3.14,py3.14t}-sqlalchemy-v2.1.0b1 {py3.7,py3.12,py3.13}-sqlalchemy-latest @@ -207,13 +207,13 @@ envlist = # ~~~ GraphQL ~~~ {py3.8,py3.10,py3.11}-ariadne-v0.20.1 - {py3.10,py3.13,py3.14,py3.14t}-ariadne-v1.0.0 + {py3.10,py3.13,py3.14,py3.14t}-ariadne-v1.0.1 {py3.10,py3.13,py3.14,py3.14t}-ariadne-v1.1.0a1 {py3.10,py3.13,py3.14,py3.14t}-ariadne-latest {py3.6,py3.9,py3.10}-gql-v3.4.1 {py3.9,py3.12,py3.13}-gql-v4.0.0 - {py3.9,py3.13,py3.14,py3.14t}-gql-v4.3.0b1 + {py3.9,py3.13,py3.14,py3.14t}-gql-v4.3.0b2 {py3.9,py3.12,py3.13}-gql-latest {py3.6,py3.9,py3.10}-graphene-v3.3 @@ -221,7 +221,7 @@ envlist = {py3.8,py3.12,py3.13}-graphene-latest {py3.8,py3.10,py3.11}-strawberry-v0.209.8 - {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.312.2 + {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.313.0 {py3.10,py3.13,py3.14,py3.14t}-strawberry-latest @@ -305,7 +305,7 @@ envlist = {py3.6,py3.9,py3.10}-fastapi-v0.79.1 {py3.7,py3.10,py3.11}-fastapi-v0.98.0 {py3.8,py3.12,py3.13}-fastapi-v0.117.1 - {py3.10,py3.13,py3.14,py3.14t}-fastapi-v0.135.2 + {py3.10,py3.13,py3.14,py3.14t}-fastapi-v0.135.3 {py3.10,py3.13,py3.14,py3.14t}-fastapi-latest @@ -313,7 +313,7 @@ envlist = {py3.7}-aiohttp-v3.4.4 {py3.7,py3.8,py3.9}-aiohttp-v3.7.4 {py3.8,py3.12,py3.13}-aiohttp-v3.10.11 - {py3.9,py3.13,py3.14,py3.14t}-aiohttp-v3.13.4 + {py3.9,py3.13,py3.14,py3.14t}-aiohttp-v3.13.5 {py3.9,py3.13,py3.14,py3.14t}-aiohttp-latest {py3.6,py3.7}-bottle-v0.12.25 @@ -451,8 +451,8 @@ deps = mcp-v1.15.0: mcp==1.15.0 mcp-v1.19.0: mcp==1.19.0 mcp-v1.23.3: mcp==1.23.3 - mcp-v1.26.0: mcp==1.26.0 - mcp-latest: mcp==1.26.0 + mcp-v1.27.0: mcp==1.27.0 + mcp-latest: mcp==1.27.0 mcp: pytest-asyncio fastmcp-v0.1.0: fastmcp==0.1.0 @@ -468,60 +468,60 @@ deps = openai_agents-v0.0.19: openai-agents==0.0.19 openai_agents-v0.4.2: openai-agents==0.4.2 openai_agents-v0.8.4: openai-agents==0.8.4 - openai_agents-v0.13.3: openai-agents==0.13.3 - openai_agents-latest: openai-agents==0.13.3 + openai_agents-v0.13.5: openai-agents==0.13.5 + openai_agents-latest: openai-agents==0.13.5 openai_agents: pytest-asyncio pydantic_ai-v1.0.18: pydantic-ai==1.0.18 - pydantic_ai-v1.24.0: pydantic-ai==1.24.0 - pydantic_ai-v1.49.0: pydantic-ai==1.49.0 - pydantic_ai-v1.73.0: pydantic-ai==1.73.0 - pydantic_ai-latest: pydantic-ai==1.73.0 + pydantic_ai-v1.25.1: pydantic-ai==1.25.1 + pydantic_ai-v1.51.0: pydantic-ai==1.51.0 + pydantic_ai-v1.77.0: pydantic-ai==1.77.0 + pydantic_ai-latest: pydantic-ai==1.77.0 pydantic_ai: pytest-asyncio # ~~~ AI Workflow ~~~ langchain-base-v0.1.20: langchain==0.1.20 langchain-base-v0.3.28: langchain==0.3.28 - langchain-base-v1.2.13: langchain==1.2.13 - langchain-base-latest: langchain==1.2.13 + langchain-base-v1.2.15: langchain==1.2.15 + langchain-base-latest: langchain==1.2.15 langchain-base: pytest-asyncio langchain-base: openai langchain-base: tiktoken langchain-base: langchain-openai langchain-base-v0.3.28: langchain-community - langchain-base-v1.2.13: langchain-community - langchain-base-v1.2.13: langchain-classic + langchain-base-v1.2.15: langchain-community + langchain-base-v1.2.15: langchain-classic langchain-base-latest: langchain-community langchain-base-latest: langchain-classic langchain-notiktoken-v0.1.20: langchain==0.1.20 langchain-notiktoken-v0.3.28: langchain==0.3.28 - langchain-notiktoken-v1.2.13: langchain==1.2.13 - langchain-notiktoken-latest: langchain==1.2.13 + langchain-notiktoken-v1.2.15: langchain==1.2.15 + langchain-notiktoken-latest: langchain==1.2.15 langchain-notiktoken: pytest-asyncio langchain-notiktoken: openai langchain-notiktoken: langchain-openai langchain-notiktoken-v0.3.28: langchain-community - langchain-notiktoken-v1.2.13: langchain-community - langchain-notiktoken-v1.2.13: langchain-classic + langchain-notiktoken-v1.2.15: langchain-community + langchain-notiktoken-v1.2.15: langchain-classic langchain-notiktoken-latest: langchain-community langchain-notiktoken-latest: langchain-classic langgraph-v0.6.11: langgraph==0.6.11 - langgraph-v1.1.3: langgraph==1.1.3 - langgraph-latest: langgraph==1.1.3 + langgraph-v1.1.6: langgraph==1.1.6 + langgraph-latest: langgraph==1.1.6 # ~~~ AI ~~~ anthropic-v0.16.0: anthropic==0.16.0 - anthropic-v0.39.0: anthropic==0.39.0 - anthropic-v0.62.0: anthropic==0.62.0 - anthropic-v0.86.0: anthropic==0.86.0 - anthropic-latest: anthropic==0.86.0 + anthropic-v0.40.0: anthropic==0.40.0 + anthropic-v0.64.0: anthropic==0.64.0 + anthropic-v0.89.0: anthropic==0.89.0 + anthropic-latest: anthropic==0.89.0 anthropic: pytest-asyncio anthropic-v0.16.0: httpx<0.28.0 - anthropic-v0.39.0: httpx<0.28.0 + anthropic-v0.40.0: httpx<0.28.0 cohere-v5.4.0: cohere==5.4.0 cohere-v5.10.0: cohere==5.10.0 @@ -530,24 +530,26 @@ deps = cohere-latest: cohere==5.21.1 google_genai-v1.29.0: google-genai==1.29.0 - google_genai-v1.42.0: google-genai==1.42.0 - google_genai-v1.55.0: google-genai==1.55.0 - google_genai-v1.69.0: google-genai==1.69.0 - google_genai-latest: google-genai==1.69.0 + google_genai-v1.43.0: google-genai==1.43.0 + google_genai-v1.57.0: google-genai==1.57.0 + google_genai-v1.70.0: google-genai==1.70.0 + google_genai-latest: google-genai==1.70.0 google_genai: pytest-asyncio huggingface_hub-v0.24.7: huggingface_hub==0.24.7 huggingface_hub-v0.36.2: huggingface_hub==0.36.2 - huggingface_hub-v1.8.0: huggingface_hub==1.8.0 - huggingface_hub-latest: huggingface_hub==1.8.0 + huggingface_hub-v1.9.0: huggingface_hub==1.9.0 + huggingface_hub-latest: huggingface_hub==1.9.0 huggingface_hub: responses huggingface_hub: pytest-httpx litellm-v1.77.7: litellm==1.77.7 litellm-v1.79.3: litellm==1.79.3 litellm-v1.81.16: litellm==1.81.16 - litellm-v1.83.0: litellm==1.83.0 - litellm-latest: litellm==1.83.0 + litellm-v1.83.3: litellm==1.83.3 + litellm-latest: litellm==1.83.3 + litellm: anthropic + litellm: google-genai openai-base-v1.0.1: openai==1.0.1 openai-base-v1.109.1: openai==1.109.1 @@ -569,8 +571,8 @@ deps = boto3-v1.12.49: boto3==1.12.49 boto3-v1.21.46: boto3==1.21.46 boto3-v1.33.13: boto3==1.33.13 - boto3-v1.42.79: boto3==1.42.79 - boto3-latest: boto3==1.42.79 + boto3-v1.42.83: boto3==1.42.83 + boto3-latest: boto3==1.42.83 {py3.7,py3.8}-boto3: urllib3<2.0.0 chalice-v1.16.0: chalice==1.16.0 @@ -616,9 +618,9 @@ deps = sqlalchemy-v1.2.19: sqlalchemy==1.2.19 sqlalchemy-v1.4.54: sqlalchemy==1.4.54 - sqlalchemy-v2.0.48: sqlalchemy==2.0.48 + sqlalchemy-v2.0.49: sqlalchemy==2.0.49 sqlalchemy-v2.1.0b1: sqlalchemy==2.1.0b1 - sqlalchemy-latest: sqlalchemy==2.0.48 + sqlalchemy-latest: sqlalchemy==2.0.49 # ~~~ Flags ~~~ @@ -642,16 +644,16 @@ deps = # ~~~ GraphQL ~~~ ariadne-v0.20.1: ariadne==0.20.1 - ariadne-v1.0.0: ariadne==1.0.0 + ariadne-v1.0.1: ariadne==1.0.1 ariadne-v1.1.0a1: ariadne==1.1.0a1 - ariadne-latest: ariadne==1.0.0 + ariadne-latest: ariadne==1.0.1 ariadne: fastapi ariadne: flask ariadne: httpx gql-v3.4.1: gql[all]==3.4.1 gql-v4.0.0: gql[all]==4.0.0 - gql-v4.3.0b1: gql[all]==4.3.0b1 + gql-v4.3.0b2: gql[all]==4.3.0b2 gql-latest: gql[all]==4.0.0 graphene-v3.3: graphene==3.3 @@ -664,8 +666,8 @@ deps = {py3.6}-graphene: aiocontextvars strawberry-v0.209.8: strawberry-graphql[fastapi,flask]==0.209.8 - strawberry-v0.312.2: strawberry-graphql[fastapi,flask]==0.312.2 - strawberry-latest: strawberry-graphql[fastapi,flask]==0.312.2 + strawberry-v0.313.0: strawberry-graphql[fastapi,flask]==0.313.0 + strawberry-latest: strawberry-graphql[fastapi,flask]==0.313.0 strawberry: httpx strawberry-v0.209.8: pydantic<2.11 @@ -813,8 +815,8 @@ deps = fastapi-v0.79.1: fastapi==0.79.1 fastapi-v0.98.0: fastapi==0.98.0 fastapi-v0.117.1: fastapi==0.117.1 - fastapi-v0.135.2: fastapi==0.135.2 - fastapi-latest: fastapi==0.135.2 + fastapi-v0.135.3: fastapi==0.135.3 + fastapi-latest: fastapi==0.135.3 fastapi: httpx fastapi: pytest-asyncio fastapi: python-multipart @@ -831,11 +833,11 @@ deps = aiohttp-v3.4.4: aiohttp==3.4.4 aiohttp-v3.7.4: aiohttp==3.7.4 aiohttp-v3.10.11: aiohttp==3.10.11 - aiohttp-v3.13.4: aiohttp==3.13.4 - aiohttp-latest: aiohttp==3.13.4 + aiohttp-v3.13.5: aiohttp==3.13.5 + aiohttp-latest: aiohttp==3.13.5 aiohttp: pytest-aiohttp aiohttp-v3.10.11: pytest-asyncio - aiohttp-v3.13.4: pytest-asyncio + aiohttp-v3.13.5: pytest-asyncio aiohttp-latest: pytest-asyncio bottle-v0.12.25: bottle==0.12.25 From c5b92c8b59faba864d5cb1d2bd3ea9e2d1a45898 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Fri, 10 Apr 2026 13:39:39 +0200 Subject: [PATCH 10/19] test(litellm): Remove mocks with httpx types in embedding tests --- tests/conftest.py | 19 +++ tests/integrations/litellm/test_litellm.py | 141 +++++++++++---------- 2 files changed, 95 insertions(+), 65 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index effe758091..796cfaf310 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1218,6 +1218,25 @@ def nonstreaming_chat_completions_model_response(): ) +@pytest.fixture +def openai_embedding_model_response(): + return openai.types.CreateEmbeddingResponse( + data=[ + openai.types.Embedding( + embedding=[0.1, 0.2, 0.3], + index=0, + object="embedding", + ) + ], + model="text-embedding-ada-002", + object="list", + usage=openai.types.create_embedding_response.Usage( + prompt_tokens=5, + total_tokens=5, + ), + ) + + @pytest.fixture def nonstreaming_responses_model_response(): return openai.types.responses.Response( diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index 6c7184de71..1a94dd4d81 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -126,38 +126,6 @@ def __init__( self.created = 1234567890 -class MockEmbeddingData: - def __init__(self, embedding=None): - self.embedding = embedding or [0.1, 0.2, 0.3] - self.index = 0 - self.object = "embedding" - - -class MockEmbeddingResponse: - def __init__(self, model="text-embedding-ada-002", data=None, usage=None): - self.model = model - self.data = data or [MockEmbeddingData()] - self.usage = usage or MockUsage( - prompt_tokens=5, completion_tokens=0, total_tokens=5 - ) - self.object = "list" - - def model_dump(self): - return { - "model": self.model, - "data": [ - {"embedding": d.embedding, "index": d.index, "object": d.object} - for d in self.data - ], - "usage": { - "prompt_tokens": self.usage.prompt_tokens, - "completion_tokens": self.usage.completion_tokens, - "total_tokens": self.usage.total_tokens, - }, - "object": self.object, - } - - @pytest.mark.parametrize( "send_default_pii, include_prompts", [ @@ -311,7 +279,13 @@ def test_streaming_chat_completion( assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True -def test_embeddings_create(sentry_init, capture_events, clear_litellm_cache): +def test_embeddings_create( + sentry_init, + capture_events, + get_model_response, + openai_embedding_model_response, + clear_litellm_cache, +): """ Test that litellm.embedding() calls are properly instrumented. @@ -325,20 +299,24 @@ def test_embeddings_create(sentry_init, capture_events, clear_litellm_cache): ) events = capture_events() - mock_response = MockEmbeddingResponse() + client = OpenAI(api_key="z") - # Mock within the test to ensure proper ordering with cache clearing - with mock.patch( - "litellm.openai_chat_completions.make_sync_openai_embedding_request" - ) as mock_http: - # The function returns (headers, response) - mock_http.return_value = ({}, mock_response) + model_response = get_model_response( + openai_embedding_model_response, + serialize_pydantic=True, + request_headers={"X-Stainless-Raw-Response": "True"}, + ) + with mock.patch.object( + client.embeddings._client._client, + "send", + return_value=model_response, + ): with start_transaction(name="litellm test"): response = litellm.embedding( model="text-embedding-ada-002", input="Hello, world!", - api_key="test-key", # Provide a fake API key to avoid authentication errors + client=client, ) # Allow time for callbacks to complete (they may run in separate threads) time.sleep(0.1) @@ -349,8 +327,13 @@ def test_embeddings_create(sentry_init, capture_events, clear_litellm_cache): (event,) = events assert event["type"] == "transaction" - assert len(event["spans"]) == 1 - (span,) = event["spans"] + spans = list( + x + for x in event["spans"] + if x["op"] == OP.GEN_AI_EMBEDDINGS and x["origin"] == "auto.ai.litellm" + ) + assert len(spans) == 1 + span = spans[0] assert span["op"] == OP.GEN_AI_EMBEDDINGS assert span["description"] == "embeddings text-embedding-ada-002" @@ -363,7 +346,11 @@ def test_embeddings_create(sentry_init, capture_events, clear_litellm_cache): def test_embeddings_create_with_list_input( - sentry_init, capture_events, clear_litellm_cache + sentry_init, + capture_events, + get_model_response, + openai_embedding_model_response, + clear_litellm_cache, ): """Test embedding with list input.""" sentry_init( @@ -373,20 +360,24 @@ def test_embeddings_create_with_list_input( ) events = capture_events() - mock_response = MockEmbeddingResponse() + client = OpenAI(api_key="z") - # Mock within the test to ensure proper ordering with cache clearing - with mock.patch( - "litellm.openai_chat_completions.make_sync_openai_embedding_request" - ) as mock_http: - # The function returns (headers, response) - mock_http.return_value = ({}, mock_response) + model_response = get_model_response( + openai_embedding_model_response, + serialize_pydantic=True, + request_headers={"X-Stainless-Raw-Response": "True"}, + ) + with mock.patch.object( + client.embeddings._client._client, + "send", + return_value=model_response, + ): with start_transaction(name="litellm test"): response = litellm.embedding( model="text-embedding-ada-002", input=["First text", "Second text", "Third text"], - api_key="test-key", # Provide a fake API key to avoid authentication errors + client=client, ) # Allow time for callbacks to complete (they may run in separate threads) time.sleep(0.1) @@ -397,8 +388,13 @@ def test_embeddings_create_with_list_input( (event,) = events assert event["type"] == "transaction" - assert len(event["spans"]) == 1 - (span,) = event["spans"] + spans = list( + x + for x in event["spans"] + if x["op"] == OP.GEN_AI_EMBEDDINGS and x["origin"] == "auto.ai.litellm" + ) + assert len(spans) == 1 + span = spans[0] assert span["op"] == OP.GEN_AI_EMBEDDINGS assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "embeddings" @@ -411,7 +407,13 @@ def test_embeddings_create_with_list_input( ] -def test_embeddings_no_pii(sentry_init, capture_events, clear_litellm_cache): +def test_embeddings_no_pii( + sentry_init, + capture_events, + get_model_response, + openai_embedding_model_response, + clear_litellm_cache, +): """Test that PII is not captured when disabled.""" sentry_init( integrations=[LiteLLMIntegration(include_prompts=True)], @@ -420,20 +422,24 @@ def test_embeddings_no_pii(sentry_init, capture_events, clear_litellm_cache): ) events = capture_events() - mock_response = MockEmbeddingResponse() + client = OpenAI(api_key="z") - # Mock within the test to ensure proper ordering with cache clearing - with mock.patch( - "litellm.openai_chat_completions.make_sync_openai_embedding_request" - ) as mock_http: - # The function returns (headers, response) - mock_http.return_value = ({}, mock_response) + model_response = get_model_response( + openai_embedding_model_response, + serialize_pydantic=True, + request_headers={"X-Stainless-Raw-Response": "True"}, + ) + with mock.patch.object( + client.embeddings._client._client, + "send", + return_value=model_response, + ): with start_transaction(name="litellm test"): response = litellm.embedding( model="text-embedding-ada-002", input="Hello, world!", - api_key="test-key", # Provide a fake API key to avoid authentication errors + client=client, ) # Allow time for callbacks to complete (they may run in separate threads) time.sleep(0.1) @@ -444,8 +450,13 @@ def test_embeddings_no_pii(sentry_init, capture_events, clear_litellm_cache): (event,) = events assert event["type"] == "transaction" - assert len(event["spans"]) == 1 - (span,) = event["spans"] + spans = list( + x + for x in event["spans"] + if x["op"] == OP.GEN_AI_EMBEDDINGS and x["origin"] == "auto.ai.litellm" + ) + assert len(spans) == 1 + span = spans[0] assert span["op"] == OP.GEN_AI_EMBEDDINGS # Check that embeddings input is NOT captured when PII is disabled From ad16c7f380a3c2fa99c0f4762c270c2aee340e35 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Fri, 10 Apr 2026 13:58:11 +0200 Subject: [PATCH 11/19] test(litellm): Replace mocks with httpx types in rate-limit test --- tests/conftest.py | 22 +++++++++++++++ tests/integrations/litellm/test_litellm.py | 33 +++++++++++++--------- 2 files changed, 42 insertions(+), 13 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index 796cfaf310..b8327622f4 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1080,6 +1080,28 @@ def inner(response_content, serialize_pydantic=False, request_headers=None): return inner +@pytest.fixture +def get_rate_limit_model_response(): + def inner(request_headers=None): + if request_headers is None: + request_headers = {} + + model_request = HttpxRequest( + "POST", + "/responses", + headers=request_headers, + ) + + response = HttpxResponse( + 429, + request=model_request, + ) + + return response + + return inner + + @pytest.fixture def streaming_chat_completions_model_response(): return [ diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index 1a94dd4d81..f98eb7c6d3 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -463,7 +463,9 @@ def test_embeddings_no_pii( assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in span["data"] -def test_exception_handling(sentry_init, capture_events): +def test_exception_handling( + reset_litellm_executor, sentry_init, capture_events, get_rate_limit_model_response +): sentry_init( integrations=[LiteLLMIntegration()], traces_sample_rate=1.0, @@ -472,19 +474,24 @@ def test_exception_handling(sentry_init, capture_events): messages = [{"role": "user", "content": "Hello!"}] - with start_transaction(name="litellm test"): - kwargs = { - "model": "gpt-3.5-turbo", - "messages": messages, - } + client = OpenAI(api_key="z") - _input_callback(kwargs) - _failure_callback( - kwargs, - Exception("API rate limit reached"), - datetime.now(), - datetime.now(), - ) + model_response = get_rate_limit_model_response() + + with mock.patch.object( + client.embeddings._client._client, + "send", + return_value=model_response, + ): + with start_transaction(name="litellm test"): + with pytest.raises(litellm.RateLimitError): + litellm.completion( + model="gpt-3.5-turbo", + messages=messages, + client=client, + ) + + litellm_utils.executor.shutdown(wait=True) # Should have error event and transaction assert len(events) >= 1 From 6f3c2471ac28943b92a415bd73eda1598fdcf144 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Fri, 10 Apr 2026 15:01:49 +0200 Subject: [PATCH 12/19] cleanup --- tests/integrations/litellm/test_litellm.py | 22 ++++++++++++---------- 1 file changed, 12 insertions(+), 10 deletions(-) diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index 6c7184de71..5b3abce6ba 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -38,6 +38,7 @@ async def __call__(self, *args, **kwargs): import litellm.utils as litellm_utils from litellm.litellm_core_utils import streaming_handler from litellm.litellm_core_utils import thread_pool_executor +from litellm.litellm_core_utils import litellm_logging from litellm.llms.custom_httpx.http_handler import HTTPHandler @@ -48,6 +49,7 @@ def _reset_litellm_executor(): thread_pool_executor.executor = ThreadPoolExecutor(max_workers=100) litellm_utils.executor = thread_pool_executor.executor streaming_handler.executor = thread_pool_executor.executor + litellm_logging.executor = thread_pool_executor.executor @pytest.fixture() @@ -190,7 +192,7 @@ def test_nonstreaming_chat_completion( model_response = get_model_response( nonstreaming_chat_completions_model_response, serialize_pydantic=True, - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( @@ -275,7 +277,7 @@ def test_streaming_chat_completion( streaming_chat_completions_model_response, include_event_type=False, ), - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( @@ -502,7 +504,7 @@ def test_span_origin( model_response = get_model_response( nonstreaming_chat_completions_model_response, serialize_pydantic=True, - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( @@ -547,7 +549,7 @@ def test_multiple_providers( openai_model_response = get_model_response( nonstreaming_chat_completions_model_response, serialize_pydantic=True, - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( @@ -570,7 +572,7 @@ def test_multiple_providers( anthropic_model_response = get_model_response( nonstreaming_anthropic_model_response, serialize_pydantic=True, - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( @@ -639,7 +641,7 @@ def test_additional_parameters( model_response = get_model_response( nonstreaming_chat_completions_model_response, serialize_pydantic=True, - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( @@ -732,7 +734,7 @@ def test_no_integration( model_response = get_model_response( nonstreaming_chat_completions_model_response, serialize_pydantic=True, - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( @@ -908,7 +910,7 @@ def test_binary_content_encoding_image_url( model_response = get_model_response( nonstreaming_chat_completions_model_response, serialize_pydantic=True, - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( @@ -987,7 +989,7 @@ def test_binary_content_encoding_mixed_content( model_response = get_model_response( nonstreaming_chat_completions_model_response, serialize_pydantic=True, - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( @@ -1052,7 +1054,7 @@ def test_binary_content_encoding_uri_type( model_response = get_model_response( nonstreaming_chat_completions_model_response, serialize_pydantic=True, - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( From 598d6b5baba4f8890a6e11b2623616553823b39d Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Fri, 10 Apr 2026 15:09:21 +0200 Subject: [PATCH 13/19] undo merge --- tests/integrations/litellm/test_litellm.py | 33 +++++++++------------- 1 file changed, 13 insertions(+), 20 deletions(-) diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index d3bffa0eef..0196ff413f 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -465,9 +465,7 @@ def test_embeddings_no_pii( assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in span["data"] -def test_exception_handling( - reset_litellm_executor, sentry_init, capture_events, get_rate_limit_model_response -): +def test_exception_handling(sentry_init, capture_events): sentry_init( integrations=[LiteLLMIntegration()], traces_sample_rate=1.0, @@ -476,24 +474,19 @@ def test_exception_handling( messages = [{"role": "user", "content": "Hello!"}] - client = OpenAI(api_key="z") - - model_response = get_rate_limit_model_response() - - with mock.patch.object( - client.embeddings._client._client, - "send", - return_value=model_response, - ): - with start_transaction(name="litellm test"): - with pytest.raises(litellm.RateLimitError): - litellm.completion( - model="gpt-3.5-turbo", - messages=messages, - client=client, - ) + with start_transaction(name="litellm test"): + kwargs = { + "model": "gpt-3.5-turbo", + "messages": messages, + } - litellm_utils.executor.shutdown(wait=True) + _input_callback(kwargs) + _failure_callback( + kwargs, + Exception("API rate limit reached"), + datetime.now(), + datetime.now(), + ) # Should have error event and transaction assert len(events) >= 1 From a8689cdca7f0d5444345e5042955b3933d353eb3 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Fri, 10 Apr 2026 15:13:43 +0200 Subject: [PATCH 14/19] remove fixture --- tests/conftest.py | 22 ---------------------- 1 file changed, 22 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index b8327622f4..796cfaf310 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1080,28 +1080,6 @@ def inner(response_content, serialize_pydantic=False, request_headers=None): return inner -@pytest.fixture -def get_rate_limit_model_response(): - def inner(request_headers=None): - if request_headers is None: - request_headers = {} - - model_request = HttpxRequest( - "POST", - "/responses", - headers=request_headers, - ) - - response = HttpxResponse( - 429, - request=model_request, - ) - - return response - - return inner - - @pytest.fixture def streaming_chat_completions_model_response(): return [ From a2b35856bf8f0fa3cd71042d9c9bdfb936a3d653 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Fri, 10 Apr 2026 16:48:59 +0200 Subject: [PATCH 15/19] make request headers consistent --- tests/integrations/litellm/test_litellm.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index 0196ff413f..40a7dd00c4 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -306,7 +306,7 @@ def test_embeddings_create( model_response = get_model_response( openai_embedding_model_response, serialize_pydantic=True, - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( @@ -367,7 +367,7 @@ def test_embeddings_create_with_list_input( model_response = get_model_response( openai_embedding_model_response, serialize_pydantic=True, - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( @@ -429,7 +429,7 @@ def test_embeddings_no_pii( model_response = get_model_response( openai_embedding_model_response, serialize_pydantic=True, - request_headers={"X-Stainless-Raw-Response": "True"}, + request_headers={"X-Stainless-Raw-Response": "true"}, ) with mock.patch.object( From 6eb17c91dc345a15e567cc394f1467b0772fd463 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Fri, 10 Apr 2026 16:52:18 +0200 Subject: [PATCH 16/19] reset all executor references --- tests/integrations/litellm/test_litellm.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index 3403c2e5a0..a2c9259305 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -38,6 +38,7 @@ async def __call__(self, *args, **kwargs): import litellm.utils as litellm_utils from litellm.litellm_core_utils import streaming_handler from litellm.litellm_core_utils import thread_pool_executor +from litellm.litellm_core_utils import litellm_logging LITELLM_VERSION = package_version("litellm") @@ -49,6 +50,7 @@ def reset_litellm_executor(): thread_pool_executor.executor = ThreadPoolExecutor(max_workers=100) litellm_utils.executor = thread_pool_executor.executor streaming_handler.executor = thread_pool_executor.executor + litellm_logging.executor = thread_pool_executor.executor @pytest.fixture From ce5ce74aa8bf333ba0844abe5465e86e271905b8 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Mon, 13 Apr 2026 09:09:25 +0200 Subject: [PATCH 17/19] delete span when finished --- sentry_sdk/integrations/litellm.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/sentry_sdk/integrations/litellm.py b/sentry_sdk/integrations/litellm.py index 6e3d444954..57cc220541 100644 --- a/sentry_sdk/integrations/litellm.py +++ b/sentry_sdk/integrations/litellm.py @@ -178,7 +178,8 @@ def _success_callback( ) -> None: """Handle successful completion.""" - span = _get_metadata_dict(kwargs).get("_sentry_span") + metadata = _get_metadata_dict(kwargs) + span = metadata.get("_sentry_span") if span is None: return @@ -235,6 +236,7 @@ def _success_callback( # Streaming flag checked at https://github.com/BerriAI/litellm/blob/33c3f13443eaf990ac8c6e3da78bddbc2b7d0e7a/litellm/litellm_core_utils/litellm_logging.py#L1603 if is_streaming is not True or "complete_streaming_response" in kwargs: span.__exit__(None, None, None) + del metadata["_sentry_span"] def _failure_callback( From 8435f367665524745bec0993bbb9393544a9a965 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Mon, 13 Apr 2026 10:09:51 +0200 Subject: [PATCH 18/19] safe exit pattern --- sentry_sdk/integrations/litellm.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/sentry_sdk/integrations/litellm.py b/sentry_sdk/integrations/litellm.py index 57cc220541..a007fbf7d0 100644 --- a/sentry_sdk/integrations/litellm.py +++ b/sentry_sdk/integrations/litellm.py @@ -235,8 +235,9 @@ def _success_callback( # Callback is fired multiple times when streaming a response. # Streaming flag checked at https://github.com/BerriAI/litellm/blob/33c3f13443eaf990ac8c6e3da78bddbc2b7d0e7a/litellm/litellm_core_utils/litellm_logging.py#L1603 if is_streaming is not True or "complete_streaming_response" in kwargs: - span.__exit__(None, None, None) - del metadata["_sentry_span"] + span = metadata.pop("_sentry_span", None) + if span is not None: + span.__exit__(None, None, None) def _failure_callback( From 5dc9bbe9b2bf8c192a3aa3101daa4ccf796ebc6f Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Mon, 13 Apr 2026 10:39:29 +0200 Subject: [PATCH 19/19] update tox.ini again --- .../populate_tox/package_dependencies.jsonl | 8 ++--- scripts/populate_tox/releases.jsonl | 11 +++---- tox.ini | 30 ++++++++++--------- 3 files changed, 26 insertions(+), 23 deletions(-) diff --git a/scripts/populate_tox/package_dependencies.jsonl b/scripts/populate_tox/package_dependencies.jsonl index 9e561d7ae4..c508a8a03d 100644 --- a/scripts/populate_tox/package_dependencies.jsonl +++ 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a/tox.ini +++ b/tox.ini @@ -65,7 +65,7 @@ envlist = {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.1.0 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.4.1 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v1.0 - {py3.10,py3.12,py3.13}-fastmcp-v2.14.6 + {py3.10,py3.12,py3.13}-fastmcp-v2.14.7 {py3.10,py3.12,py3.13}-fastmcp-v3.2.3 {py3.10,py3.12,py3.13}-fastmcp-latest @@ -80,7 +80,7 @@ envlist = {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 {py3.10,py3.12,py3.13}-pydantic_ai-v1.26.0 {py3.10,py3.12,py3.13}-pydantic_ai-v1.53.0 - {py3.10,py3.13,py3.14}-pydantic_ai-v1.79.0 + {py3.10,py3.13,py3.14}-pydantic_ai-v1.80.0 {py3.10,py3.13,py3.14}-pydantic_ai-latest @@ -97,6 +97,7 @@ envlist = {py3.9,py3.13,py3.14}-langgraph-v0.6.11 {py3.10,py3.12,py3.13}-langgraph-v1.1.6 + {py3.10,py3.12,py3.13}-langgraph-v1.1.7a1 {py3.10,py3.12,py3.13}-langgraph-latest @@ -104,12 +105,12 @@ envlist = {py3.8,py3.11,py3.12}-anthropic-v0.16.0 {py3.8,py3.11,py3.12}-anthropic-v0.42.0 {py3.8,py3.12,py3.13}-anthropic-v0.68.2 - {py3.9,py3.13,py3.14,py3.14t}-anthropic-v0.93.0 + {py3.9,py3.13,py3.14,py3.14t}-anthropic-v0.94.0 {py3.9,py3.13,py3.14,py3.14t}-anthropic-latest {py3.9,py3.10,py3.11}-cohere-v5.4.0 {py3.9,py3.13,py3.14}-cohere-v5.21.1 - {py3.10,py3.13,py3.14}-cohere-v6.0.0 + {py3.10,py3.13,py3.14}-cohere-v6.1.0 {py3.10,py3.13,py3.14}-cohere-latest {py3.9,py3.12,py3.13}-google_genai-v1.29.0 @@ -144,7 +145,7 @@ envlist = {py3.6,py3.7}-boto3-v1.12.49 {py3.6,py3.9,py3.10}-boto3-v1.21.46 {py3.7,py3.11,py3.12}-boto3-v1.33.13 - {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.87 + {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.88 {py3.9,py3.13,py3.14,py3.14t}-boto3-latest {py3.6,py3.7,py3.8}-chalice-v1.16.0 @@ -458,7 +459,7 @@ deps = fastmcp-v0.1.0: fastmcp==0.1.0 fastmcp-v0.4.1: fastmcp==0.4.1 fastmcp-v1.0: fastmcp==1.0 - fastmcp-v2.14.6: fastmcp==2.14.6 + fastmcp-v2.14.7: fastmcp==2.14.7 fastmcp-v3.2.3: fastmcp==3.2.3 fastmcp-latest: fastmcp==3.2.3 fastmcp: pytest-asyncio @@ -475,8 +476,8 @@ deps = pydantic_ai-v1.0.18: pydantic-ai==1.0.18 pydantic_ai-v1.26.0: pydantic-ai==1.26.0 pydantic_ai-v1.53.0: pydantic-ai==1.53.0 - pydantic_ai-v1.79.0: pydantic-ai==1.79.0 - pydantic_ai-latest: pydantic-ai==1.79.0 + pydantic_ai-v1.80.0: pydantic-ai==1.80.0 + pydantic_ai-latest: pydantic-ai==1.80.0 pydantic_ai: pytest-asyncio @@ -510,6 +511,7 @@ deps = langgraph-v0.6.11: langgraph==0.6.11 langgraph-v1.1.6: langgraph==1.1.6 + langgraph-v1.1.7a1: langgraph==1.1.7a1 langgraph-latest: langgraph==1.1.6 @@ -517,8 +519,8 @@ deps = anthropic-v0.16.0: anthropic==0.16.0 anthropic-v0.42.0: anthropic==0.42.0 anthropic-v0.68.2: anthropic==0.68.2 - anthropic-v0.93.0: anthropic==0.93.0 - anthropic-latest: anthropic==0.93.0 + anthropic-v0.94.0: anthropic==0.94.0 + anthropic-latest: anthropic==0.94.0 anthropic: pytest-asyncio anthropic-v0.16.0: httpx<0.28.0 anthropic-v0.42.0: httpx<0.28.0 @@ -526,8 +528,8 @@ deps = cohere-v5.4.0: cohere==5.4.0 cohere-v5.21.1: cohere==5.21.1 - cohere-v6.0.0: cohere==6.0.0 - cohere-latest: cohere==6.0.0 + cohere-v6.1.0: cohere==6.1.0 + cohere-latest: cohere==6.1.0 google_genai-v1.29.0: google-genai==1.29.0 google_genai-v1.43.0: google-genai==1.43.0 @@ -571,8 +573,8 @@ deps = boto3-v1.12.49: boto3==1.12.49 boto3-v1.21.46: boto3==1.21.46 boto3-v1.33.13: boto3==1.33.13 - boto3-v1.42.87: boto3==1.42.87 - boto3-latest: boto3==1.42.87 + boto3-v1.42.88: boto3==1.42.88 + boto3-latest: boto3==1.42.88 {py3.7,py3.8}-boto3: urllib3<2.0.0 chalice-v1.16.0: chalice==1.16.0