diff --git a/litellm/llms/fireworks_ai/chat/transformation.py b/litellm/llms/fireworks_ai/chat/transformation.py index 05160d83c12..b6c2b379d66 100644 --- a/litellm/llms/fireworks_ai/chat/transformation.py +++ b/litellm/llms/fireworks_ai/chat/transformation.py @@ -49,6 +49,17 @@ if TYPE_CHECKING: import tiktoken +def _map_reasoning_effort(value: object) -> object: + effort: Final[object] = cast(Mapping[str, object], value).get("effort") if isinstance(value, Mapping) else value + if effort is True: + return "medium" + if effort is False: + return "none" + if effort == "auto": + return None + return effort + + def _extract_fireworks_hidden_params(payload: dict) -> dict: """ Collect Fireworks-specific response fields (perf_metrics, prompt_token_ids, @@ -327,12 +338,9 @@ class FireworksAIConfig(FireworksAIMixin, OpenAIGPTConfig): elif param == "max_completion_tokens": optional_params["max_tokens"] = value elif param == "reasoning_effort": - if value is True: - optional_params["reasoning_effort"] = "medium" - elif value is False: - optional_params["reasoning_effort"] = "none" - elif value != "auto": - optional_params["reasoning_effort"] = value + effort = _map_reasoning_effort(value) + if effort is not None: + optional_params["reasoning_effort"] = effort elif param in supported_openai_params: if value is not None: optional_params[param] = value diff --git a/tests/test_litellm/llms/fireworks_ai/chat/test_fireworks_ai_chat_transformation.py b/tests/test_litellm/llms/fireworks_ai/chat/test_fireworks_ai_chat_transformation.py index fb0311ef39b..7715e7b32ff 100644 --- a/tests/test_litellm/llms/fireworks_ai/chat/test_fireworks_ai_chat_transformation.py +++ b/tests/test_litellm/llms/fireworks_ai/chat/test_fireworks_ai_chat_transformation.py @@ -1189,6 +1189,28 @@ def test_reasoning_effort_integer_passthrough(): assert isinstance(result["reasoning_effort"], int) +def test_reasoning_effort_dict_from_anthropic_adapter_flattened_to_effort_string(): + config = FireworksAIConfig() + result = config.map_openai_params( + {"reasoning_effort": {"effort": "medium", "summary": "detailed"}}, + {}, + _REASONING_MODEL, + drop_params=False, + ) + assert result["reasoning_effort"] == "medium" + + +def test_reasoning_effort_dict_without_effort_key_dropped(): + config = FireworksAIConfig() + result = config.map_openai_params( + {"reasoning_effort": {"summary": "detailed"}}, + {}, + _REASONING_MODEL, + drop_params=False, + ) + assert "reasoning_effort" not in result + + def test_reasoning_effort_auto_dropped_to_model_default(): config = FireworksAIConfig() result = config.map_openai_params(