fix(fal_ai): read only the documented FAL_AI_API_KEY env var

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

litellm/llms/fal_ai/videos/transformation.py

@@ -207,10 +207,9 @@ class FalAIVideoConfig(BaseVideoConfig):
             api_key
             or (litellm_params.api_key if litellm_params is not None else None)
             or get_secret_str("FAL_AI_API_KEY")
-            or get_secret_str("FAL_KEY")
         )
         if not final_api_key:
-            raise ValueError("fal.ai API key is required")
+            raise ValueError("FAL_AI_API_KEY is not set")
         validated_headers: Final[_VideoHeaders] = {
             **headers,
             "Authorization": f"Key {final_api_key}",
@@ -224,7 +223,7 @@ class FalAIVideoConfig(BaseVideoConfig):
         api_base: str | None,
         litellm_params: _VideoParams,
     ) -> str:
-        return (api_base or get_secret_str("FAL_AI_QUEUE_API_BASE") or "https://queue.fal.run").rstrip("/")
+        return (api_base or "https://queue.fal.run").rstrip("/")
 
     def transform_video_create_request(
         self,

tests/test_litellm/llms/fal_ai/videos/test_fal_ai_video_transformation.py

@@ -91,6 +91,26 @@ class TestFalAIVideoTransformation:
         }
         assert "model" not in body
 
+    def test_get_complete_url_respects_api_base_override(self):
+        url = self.config.get_complete_url(
+            model=MODEL,
+            api_base="https://proxy.internal/",
+            litellm_params={},
+        )
+
+        assert url == "https://proxy.internal"
+
+    def test_validate_environment_requires_fal_ai_api_key(self, monkeypatch):
+        monkeypatch.setattr(fal_video_module, "get_secret_str", lambda _: None)
+
+        with pytest.raises(ValueError, match="FAL_AI_API_KEY is not set"):
+            self.config.validate_environment(
+                headers={},
+                model=MODEL,
+                api_key=None,
+                litellm_params=GenericLiteLLMParams(),
+            )
+
     def test_transform_video_create_response_encodes_model_and_usage(self):
         response = Mock(spec=httpx.Response)
         response.json.return_value = {"request_id": "abc"}