Address review feedback for SiliconFlow provider

- Add provider_endpoints_support.json entry (fixes the code-quality
  provider-documentation check).
- Register the China mainland endpoint api.siliconflow.cn/v1 so
  api_base-only provider detection works for mainland users.
- Expand supported OpenAI params (user, seed, parallel_tool_calls,
  stream_options, max_completion_tokens).
- Make the provider-info test hermetic by patching get_secret_str
  instead of os.environ.

litellm/constants.py

@@ -768,6 +768,7 @@ openai_compatible_endpoints: List = [
     "api.featherless.ai/v1",
     "inference.api.nscale.com/v1",
     "api.siliconflow.com/v1",
+    "api.siliconflow.cn/v1",
     "api.studio.nebius.ai/v1",
     "https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
     "https://api.moonshot.ai/v1",

litellm/litellm_core_utils/get_llm_provider_logic.py

@@ -314,6 +314,9 @@ def get_llm_provider(  # noqa: PLR0915
                     elif endpoint == "api.siliconflow.com/v1":
                         custom_llm_provider = "siliconflow"
                         dynamic_api_key = litellm.SiliconFlowConfig.get_api_key()
+                    elif endpoint == "api.siliconflow.cn/v1":
+                        custom_llm_provider = "siliconflow"
+                        dynamic_api_key = litellm.SiliconFlowConfig.get_api_key()
                     elif endpoint == "dashscope-intl.aliyuncs.com/compatible-mode/v1":
                         custom_llm_provider = "dashscope"
                         dynamic_api_key = get_secret_str("DASHSCOPE_API_KEY")

litellm/llms/siliconflow/chat/transformation.py

@@ -43,10 +43,13 @@ class SiliconFlowConfig(OpenAIGPTConfig):
     def get_supported_openai_params(self, model: str) -> list:
         return [
             "max_tokens",
+            "max_completion_tokens",
             "n",
             "temperature",
             "top_p",
+            "seed",
             "stream",
+            "stream_options",
             "logprobs",
             "top_logprobs",
             "frequency_penalty",
@@ -56,4 +59,6 @@ class SiliconFlowConfig(OpenAIGPTConfig):
             "logit_bias",
             "tools",
             "tool_choice",
+            "parallel_tool_calls",
+            "user",
         ]

provider_endpoints_support.json

@@ -32,6 +32,24 @@
     }
   },
   "providers": {
+    "siliconflow": {
+      "display_name": "SiliconFlow (`siliconflow`)",
+      "url": "https://docs.litellm.ai/docs/providers/siliconflow",
+      "endpoints": {
+        "chat_completions": true,
+        "messages": true,
+        "responses": true,
+        "embeddings": false,
+        "image_generations": false,
+        "audio_transcriptions": false,
+        "audio_speech": false,
+        "moderations": false,
+        "batches": false,
+        "rerank": false,
+        "a2a": true,
+        "interactions": true
+      }
+    },
     "a2a": {
       "display_name": "A2A (Agent-to-Agent) (`a2a`)",
       "url": "https://docs.litellm.ai/docs/providers/a2a",

tests/test_litellm/llms/siliconflow/chat/test_siliconflow_chat_transformation.py

@@ -51,7 +51,13 @@ class TestSiliconFlowConfig:
             assert SiliconFlowConfig.API_BASE_URL == "https://api.siliconflow.com/v1"
 
     def test_get_openai_compatible_provider_info(self):
-        with patch.dict(os.environ, {"SILICONFLOW_API_KEY": "sk-secret"}, clear=False):
+        def fake_secret(name, *args, **kwargs):
+            return "sk-secret" if name == "SILICONFLOW_API_KEY" else None
+
+        with patch(
+            "litellm.llms.siliconflow.chat.transformation.get_secret_str",
+            side_effect=fake_secret,
+        ):
             api_base, api_key = self.config._get_openai_compatible_provider_info(
                 api_base=None, api_key=None
             )