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fix: claude code req traces on langfuse #23259

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Merged
Harshit28j merged 4 commits into from
Mar 10, 2026
Merged

fix: claude code req traces on langfuse #23259

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8c3d6db
fix: claude code req traces on langfuse
Harshit28j Mar 10, 2026
558523f
fix: req changes by greptile
Harshit28j Mar 10, 2026
81bd62e
Update litellm/utils.py
Harshit28j Mar 10, 2026
17804ed
Update litellm/utils.py
Harshit28j Mar 10, 2026
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57 changes: 34 additions & 23 deletions litellm/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -780,9 +780,9 @@ def function_setup( # noqa: PLR0915
coroutine_checker = get_coroutine_checker_fn()

## DYNAMIC CALLBACKS ##
dynamic_callbacks: Optional[List[Union[str, Callable, "CustomLogger"]]] = (
kwargs.pop("callbacks", None)
)
dynamic_callbacks: Optional[
List[Union[str, Callable, "CustomLogger"]]
] = kwargs.pop("callbacks", None)
all_callbacks = get_dynamic_callbacks(dynamic_callbacks=dynamic_callbacks)

if len(all_callbacks) > 0:
Expand Down Expand Up @@ -1143,6 +1143,14 @@ def function_setup( # noqa: PLR0915
litellm_params: Dict[str, Any] = {"api_base": ""}
if "metadata" in kwargs:
litellm_params["metadata"] = kwargs["metadata"]
if "litellm_metadata" in kwargs and isinstance(kwargs["litellm_metadata"], dict):
litellm_params["litellm_metadata"] = kwargs["litellm_metadata"].copy()
# For endpoints like /v1/messages that use "litellm_metadata" instead
# of "metadata" (to avoid conflicting with provider API metadata fields),
# populate litellm_params["metadata"] so callbacks (e.g. Langfuse) that
# read API key info from litellm_params["metadata"] see the fields.
if not litellm_params.get("metadata"):
litellm_params["metadata"] = kwargs["litellm_metadata"].copy()

logging_obj.update_environment_variables(
model=model,
Expand Down Expand Up @@ -1682,9 +1690,9 @@ def wrapper(*args, **kwargs): # noqa: PLR0915
exception=e,
retry_policy=kwargs.get("retry_policy"),
)
kwargs["retry_policy"] = (
reset_retry_policy()
) # prevent infinite loops
kwargs[
"retry_policy"
] = reset_retry_policy() # prevent infinite loops
litellm.num_retries = (
None # set retries to None to prevent infinite loops
)
Expand Down Expand Up @@ -1731,9 +1739,9 @@ def wrapper(*args, **kwargs): # noqa: PLR0915
exception=e,
retry_policy=kwargs.get("retry_policy"),
)
kwargs["retry_policy"] = (
reset_retry_policy()
) # prevent infinite loops
kwargs[
"retry_policy"
] = reset_retry_policy() # prevent infinite loops
litellm.num_retries = (
None # set retries to None to prevent infinite loops
)
Expand Down Expand Up @@ -3686,10 +3694,10 @@ def pre_process_non_default_params(

if "response_format" in non_default_params:
if provider_config is not None:
non_default_params["response_format"] = (
provider_config.get_json_schema_from_pydantic_object(
response_format=non_default_params["response_format"]
)
non_default_params[
"response_format"
] = provider_config.get_json_schema_from_pydantic_object(
response_format=non_default_params["response_format"]
)
else:
non_default_params["response_format"] = type_to_response_format_param(
Expand Down Expand Up @@ -3818,16 +3826,16 @@ def pre_process_optional_params(
True # so that main.py adds the function call to the prompt
)
if "tools" in non_default_params:
optional_params["functions_unsupported_model"] = (
non_default_params.pop("tools")
)
optional_params[
"functions_unsupported_model"
] = non_default_params.pop("tools")
non_default_params.pop(
"tool_choice", None
) # causes ollama requests to hang
elif "functions" in non_default_params:
optional_params["functions_unsupported_model"] = (
non_default_params.pop("functions")
)
optional_params[
"functions_unsupported_model"
] = non_default_params.pop("functions")
elif (
litellm.add_function_to_prompt
): # if user opts to add it to prompt instead
Expand Down Expand Up @@ -7428,9 +7436,9 @@ def __init__(self, model_response: ModelResponse, convert_to_delta: bool = False
if convert_to_delta is True:
_stream_response = ModelResponseStream()
_stream_response.choices[0].delta.content = model_response.choices[0].message.content # type: ignore
self.model_response: Union[ModelResponse, ModelResponseStream] = (
_stream_response
)
self.model_response: Union[
ModelResponse, ModelResponseStream
] = _stream_response
else:
self.model_response = model_response
self.is_done = False
Expand Down Expand Up @@ -7901,7 +7909,10 @@ def _build_provider_config_map() -> dict[LlmProviders, tuple[Callable, bool]]:
# Simple provider mappings (no model parameter needed)
LlmProviders.DEEPSEEK: (lambda: litellm.DeepSeekChatConfig(), False),
LlmProviders.GROQ: (lambda: litellm.GroqChatConfig(), False),
LlmProviders.BEDROCK_MANTLE: (lambda: litellm.BedrockMantleChatConfig(), False),
LlmProviders.BEDROCK_MANTLE: (
lambda: litellm.BedrockMantleChatConfig(),
False,
),
LlmProviders.A2A: (lambda: litellm.A2AConfig(), False),
LlmProviders.BYTEZ: (lambda: litellm.BytezChatConfig(), False),
LlmProviders.DATABRICKS: (lambda: litellm.DatabricksConfig(), False),
Expand Down
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