feat(fireworks): enable reasoning support

src/any_llm/providers/fireworks/fireworks.py

@@ -18,7 +18,7 @@ class FireworksProvider(BaseOpenAIProvider):
     SUPPORTS_COMPLETION_STREAMING = True
     SUPPORTS_COMPLETION = True
     SUPPORTS_RESPONSES = True
-    SUPPORTS_COMPLETION_REASONING = False
+    SUPPORTS_COMPLETION_REASONING = True
     SUPPORTS_COMPLETION_PDF = False
     SUPPORTS_EMBEDDING = False
     SUPPORTS_LIST_MODELS = True

src/any_llm/providers/fireworks/utils.py

@@ -6,22 +6,23 @@
 def extract_reasoning_from_response(response: Response) -> Response:
     """Extract <think> content from Fireworks response and set reasoning field.
 
-    Fireworks Responses API includes reasoning content within <think></think> tags.
+    Fireworks Responses API may include reasoning content within <think></think> tags.
     This function extracts that content and moves it to the reasoning field.
-
     Args:
         response: The Response object to process
 
     Returns:
         The modified Response object with reasoning extracted
     """
+    if response.reasoning:
+        return response
+
     if not response.output or not response.output[-1].content:
         return response
 
     content_text = response.output[-1].content[0].text
     if "<think>" in content_text and "</think>" in content_text:
         reasoning = content_text.split("<think>")[1].split("</think>")[0].strip()
-        # Skip case where reasoning is empty but tags are present
         if reasoning:
             response.reasoning = Reasoning(content=reasoning)  # type: ignore[assignment]
         response.output[-1].content[0].text = content_text.split("</think>")[1].strip()

tests/conftest.py

@@ -14,7 +14,7 @@ def provider_reasoning_model_map() -> dict[LLMProvider, str]:
         LLMProvider.GEMINI: "gemini-2.5-flash",
         LLMProvider.VERTEXAI: "gemini-2.5-flash",
         LLMProvider.GROQ: "openai/gpt-oss-20b",
-        LLMProvider.FIREWORKS: "accounts/fireworks/models/deepseek-r1",
+        LLMProvider.FIREWORKS: "accounts/fireworks/models/gpt-oss-20b",
         LLMProvider.OPENAI: "gpt-5-nano",
         LLMProvider.MISTRAL: "magistral-small-latest",
         LLMProvider.XAI: "grok-3-mini-latest",

tests/integration/test_responses.py

@@ -21,6 +21,10 @@ async def test_responses_async(
         llm = AnyLLM.create(provider, **provider_client_config.get(provider, {}))
         if not llm.SUPPORTS_RESPONSES:
             pytest.skip(f"{provider.value} does not support responses, skipping")
+        if provider == LLMProvider.FIREWORKS:
+            pytest.skip(
+                "Fireworks responses API not returning reasoning field - known bug awaiting their fix (contact Nathan Brake for the email chain)"
+            )
         model_id = provider_reasoning_model_map[provider]
         result = await llm.aresponses(
             model_id,