fix(fireworks_ai): align extras translation with the API gateway matrix

min_tokens is accepted natively by the Fireworks API (verified live), so
stop stripping it and let it pass through extra_body. Add the NIM-specific
include_reasoning and nvext keys to the strip set. enable_thinking=true
now omits reasoning_effort (model default) instead of forcing medium,
matching the gateway translation and preserving default-off models'
behavior; enable_thinking=false still maps to none.

litellm/llms/fireworks_ai/chat/transformation.py

@@ -67,7 +67,6 @@ def _json_schema_response_format(schema: object) -> Mapping[str, object]:
 
 _NIM_VLLM_STRIP_PARAMS: Final = frozenset(
     {
-        "min_tokens",
         "stop_token_ids",
         "include_stop_str_in_output",
         "skip_special_tokens",
@@ -82,6 +81,8 @@ _NIM_VLLM_STRIP_PARAMS: Final = frozenset(
         "detokenize",
         "allowed_token_ids",
         "bad_words",
+        "include_reasoning",
+        "nvext",
     }
 )
 
@@ -414,8 +415,9 @@ class FireworksAIConfig(FireworksAIMixin, OpenAIGPTConfig):
                 model,
             )
             return ()
-        effort: Final = "medium" if chat_template_kwargs["enable_thinking"] else "none"
-        return (("reasoning_effort", effort),)
+        if chat_template_kwargs["enable_thinking"]:
+            return ()
+        return (("reasoning_effort", "none"),)
 
     @staticmethod
     def _translate_guided_params(extra_body: Mapping[str, object]) -> tuple[tuple[str, object], ...]:

tests/test_litellm/llms/fireworks_ai/chat/test_fireworks_ai_chat_transformation.py

@@ -1334,7 +1334,7 @@ def test_map_extra_body_params_chat_template_kwargs_enable_thinking():
         {"extra_body": {"chat_template_kwargs": {"enable_thinking": True}}},
         _REASONING_MODEL,
     )
-    assert enabled == {"reasoning_effort": "medium"}
+    assert enabled == {}
 
 
 def test_map_extra_body_params_chat_template_kwargs_conflicts_with_reasoning_effort():
@@ -1425,7 +1425,6 @@ def test_map_extra_body_params_multiple_guided_params_rejected():
 @pytest.mark.parametrize(
     "param,value",
     [
-        ("min_tokens", 10),
         ("stop_token_ids", [1, 2]),
         ("include_stop_str_in_output", True),
         ("skip_special_tokens", False),
@@ -1440,6 +1439,8 @@ def test_map_extra_body_params_multiple_guided_params_rejected():
         ("detokenize", True),
         ("allowed_token_ids", [1]),
         ("bad_words", ["foo"]),
+        ("include_reasoning", False),
+        ("nvext", {"verbosity": 1}),
     ],
 )
 def test_map_extra_body_params_strips_unsupported_nim_vllm_params(param, value, caplog):
@@ -1478,9 +1479,10 @@ def test_nim_vllm_extras_translated_end_to_end_in_request_body():
     Passing NIM/vLLM extras to litellm.completion must reach the Fireworks
     request body translated, not verbatim: truncate_prompt_tokens becomes
     prompt_truncate_len, chat_template_kwargs.enable_thinking becomes
-    reasoning_effort, min_tokens is dropped, and fireworks-native top_k still
-    passes through. Asserts on the actual JSON posted to the API, so a revert
-    of the _complete_fireworks_ai wiring fails this test.
+    reasoning_effort, include_reasoning is dropped, and min_tokens and
+    fireworks-native top_k still pass through. Asserts on the actual JSON
+    posted to the API, so a revert of the _complete_fireworks_ai wiring
+    fails this test.
     """
     from litellm.llms.custom_httpx.http_handler import HTTPHandler
 
@@ -1515,6 +1517,7 @@ def test_nim_vllm_extras_translated_end_to_end_in_request_body():
             truncate_prompt_tokens=4096,
             chat_template_kwargs={"enable_thinking": False},
             min_tokens=10,
+            include_reasoning=False,
             top_k=40,
         )
 
@@ -1523,7 +1526,8 @@ def test_nim_vllm_extras_translated_end_to_end_in_request_body():
     assert "truncate_prompt_tokens" not in request_body
     assert request_body["reasoning_effort"] == "none"
     assert "chat_template_kwargs" not in request_body
-    assert "min_tokens" not in request_body
+    assert "include_reasoning" not in request_body
+    assert request_body["min_tokens"] == 10
     assert request_body["top_k"] == 40