override auth header

litellm/llms/fireworks_ai/chat/transformation.py

@@ -70,7 +70,9 @@ class FireworksAIConfig(OpenAIGPTConfig):
     Parameter handling
     ------------------
     - All standard OpenAI params are passed through (``tool_choice``,
-      ``response_format``, ``max_completion_tokens``, ``strict`` in tools).
+      ``response_format``, ``strict`` in tools).
+    - ``max_completion_tokens`` is mapped to ``max_tokens`` (Fireworks
+      treats it as an alias and rejects requests with both).
     - Additional Fireworks-supported params: ``top_k``, ``top_logprobs``,
       ``seed``, ``logit_bias``, ``parallel_tool_calls``, ``thinking``,
       ``prompt_truncate_length``, ``context_length_exceeded_behavior``.
@@ -180,6 +182,10 @@ class FireworksAIConfig(OpenAIGPTConfig):
                 optional_params["tool_choice"] = value
             elif param == "response_format":
                 optional_params["response_format"] = value
+            elif param == "max_completion_tokens":
+                # Fireworks treats max_completion_tokens as an alias for max_tokens
+                # and rejects requests containing both. Normalize to max_tokens.
+                optional_params["max_tokens"] = value
             elif param in supported_openai_params:
                 if value is not None:
                     optional_params[param] = value

litellm/llms/fireworks_ai/messages/transformation.py

@@ -33,7 +33,7 @@ class FireworksAIMessagesConfig(AnthropicMessagesConfig):
             or get_secret_str("FIREWORKSAI_API_KEY")
             or get_secret_str("FIREWORKS_AI_TOKEN")
         )
-        if api_key and "Authorization" not in headers:
+        if api_key:
             headers["Authorization"] = f"Bearer {api_key}"
         if "content-type" not in headers:
             headers["content-type"] = "application/json"

tests/test_litellm/llms/fireworks_ai/messages/test_fireworks_ai_messages_transformation.py

@@ -62,7 +62,7 @@ class TestValidateAnthropicMessagesEnvironment:
             )
             assert headers["Authorization"] == "Bearer ai-env-key"
 
-    def test_should_not_overwrite_existing_authorization(self, config):
+    def test_should_override_existing_authorization_with_explicit_key(self, config):
         headers, _ = config.validate_anthropic_messages_environment(
             headers={"Authorization": "Bearer pre-existing"},
             model="claude-3-5-sonnet",
@@ -71,7 +71,7 @@ class TestValidateAnthropicMessagesEnvironment:
             litellm_params={},
             api_key="new-key",
         )
-        assert headers["Authorization"] == "Bearer pre-existing"
+        assert headers["Authorization"] == "Bearer new-key"
 
     def test_should_set_default_content_type(self, config):
         headers, _ = config.validate_anthropic_messages_environment(

tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py

@@ -85,14 +85,14 @@ class TestValidateEnvironment:
             )
             assert headers["Authorization"] == "Bearer env-key"
 
-    def test_should_not_overwrite_existing_authorization(self, config):
+    def test_should_override_existing_authorization_with_explicit_key(self, config):
         params = GenericLiteLLMParams(api_key="new-key")
         headers = config.validate_environment(
             headers={"Authorization": "Bearer pre-existing"},
             model="accounts/fireworks/models/llama-v3-70b",
             litellm_params=params,
         )
-        assert headers["Authorization"] == "Bearer pre-existing"
+        assert headers["Authorization"] == "Bearer new-key"
 
 
 class TestGetCompleteUrl: