Add LM Studio provider (#837)

* Add LM Studio provider

We were using OpenAI provider to interface with LM Studio since
both of them were very similar. For muxing we need to clearly
distinguish to which providers we need to route the request. Hence
it will be easier to disambiguate the providers.

* Delete conditional to add lm studio URL

src/codegate/providers/lm_studio/provider.py

@@ -0,0 +1,56 @@
+import json
+
+from fastapi import Header, HTTPException, Request
+from fastapi.responses import JSONResponse
+
+from codegate.config import Config
+from codegate.pipeline.factory import PipelineFactory
+from codegate.providers.openai.provider import OpenAIProvider
+
+
+class LmStudioProvider(OpenAIProvider):
+    def __init__(
+        self,
+        pipeline_factory: PipelineFactory,
+    ):
+        config = Config.get_config()
+        if config is not None:
+            provided_urls = config.provider_urls
+            self.lm_studio_url = provided_urls.get("lm_studio", "http://localhost:11434/")
+
+        super().__init__(pipeline_factory)
+
+    @property
+    def provider_route_name(self) -> str:
+        return "lm_studio"
+
+    def _setup_routes(self):
+        """
+        Sets up the /chat/completions route for the provider as expected by the
+        LM Studio API. Extracts the API key from the "Authorization" header and
+        passes it to the completion handler.
+        """
+
+        @self.router.get(f"/{self.provider_route_name}/models")
+        @self.router.get(f"/{self.provider_route_name}/v1/models")
+        async def get_models():
+            # dummy method for lm studio
+            return JSONResponse(status_code=200, content=[])
+
+        @self.router.post(f"/{self.provider_route_name}/chat/completions")
+        @self.router.post(f"/{self.provider_route_name}/completions")
+        @self.router.post(f"/{self.provider_route_name}/v1/chat/completions")
+        async def create_completion(
+            request: Request,
+            authorization: str = Header(..., description="Bearer token"),
+        ):
+            if not authorization.startswith("Bearer "):
+                raise HTTPException(status_code=401, detail="Invalid authorization header")
+
+            api_key = authorization.split(" ")[1]
+            body = await request.body()
+            data = json.loads(body)
+
+            data["base_url"] = self.lm_studio_url + "/v1/"
+
+            return await self.process_request(data, api_key, request)

src/codegate/providers/openai/provider.py

@@ -4,9 +4,7 @@
 import httpx
 import structlog
 from fastapi import Header, HTTPException, Request
-from fastapi.responses import JSONResponse
 
-from codegate.config import Config
 from codegate.pipeline.factory import PipelineFactory
 from codegate.providers.base import BaseProvider, ModelFetchError
 from codegate.providers.litellmshim import LiteLLmShim, sse_stream_generator
@@ -19,11 +17,6 @@ def __init__(
         pipeline_factory: PipelineFactory,
     ):
         completion_handler = LiteLLmShim(stream_generator=sse_stream_generator)
-        config = Config.get_config()
-        if config is not None:
-            provided_urls = config.provider_urls
-            self.lm_studio_url = provided_urls.get("lm_studio", "http://localhost:11434/")
-
         super().__init__(
             OpenAIInputNormalizer(),
             OpenAIOutputNormalizer(),
@@ -39,8 +32,6 @@ def models(self, endpoint: str = None, api_key: str = None) -> List[str]:
         headers = {}
         if api_key:
             headers["Authorization"] = f"Bearer {api_key}"
-        if not endpoint:
-            endpoint = "https://api.openai.com"
 
         resp = httpx.get(f"{endpoint}/v1/models", headers=headers)
 
@@ -51,19 +42,32 @@ def models(self, endpoint: str = None, api_key: str = None) -> List[str]:
 
         return [model["id"] for model in jsonresp.get("data", [])]
 
+    async def process_request(self, data: dict, api_key: str, request: Request):
+        """
+        Process the request and return the completion stream
+        """
+        is_fim_request = self._is_fim_request(request, data)
+        try:
+            stream = await self.complete(data, api_key, is_fim_request=is_fim_request)
+        except Exception as e:
+            #  check if we have an status code there
+            if hasattr(e, "status_code"):
+                logger = structlog.get_logger("codegate")
+                logger.error("Error in OpenAIProvider completion", error=str(e))
+
+                raise HTTPException(status_code=e.status_code, detail=str(e))  # type: ignore
+            else:
+                # just continue raising the exception
+                raise e
+        return self._completion_handler.create_response(stream)
+
     def _setup_routes(self):
         """
         Sets up the /chat/completions route for the provider as expected by the
         OpenAI API. Extracts the API key from the "Authorization" header and
         passes it to the completion handler.
         """
 
-        @self.router.get(f"/{self.provider_route_name}/models")
-        @self.router.get(f"/{self.provider_route_name}/v1/models")
-        async def get_models():
-            # dummy method for lm studio
-            return JSONResponse(status_code=200, content=[])
-
         @self.router.post(f"/{self.provider_route_name}/chat/completions")
         @self.router.post(f"/{self.provider_route_name}/completions")
         @self.router.post(f"/{self.provider_route_name}/v1/chat/completions")
@@ -78,20 +82,4 @@ async def create_completion(
             body = await request.body()
             data = json.loads(body)
 
-            # if model starts with lm_studio, propagate it
-            if data.get("model", "").startswith("lm_studio"):
-                data["base_url"] = self.lm_studio_url + "/v1/"
-            is_fim_request = self._is_fim_request(request, data)
-            try:
-                stream = await self.complete(data, api_key, is_fim_request=is_fim_request)
-            except Exception as e:
-                #  check if we have an status code there
-                if hasattr(e, "status_code"):
-                    logger = structlog.get_logger("codegate")
-                    logger.error("Error in OpenAIProvider completion", error=str(e))
-
-                    raise HTTPException(status_code=e.status_code, detail=str(e))  # type: ignore
-                else:
-                    # just continue raising the exception
-                    raise e
-            return self._completion_handler.create_response(stream)
+            return await self.process_request(data, api_key, request)

src/codegate/server.py

@@ -13,6 +13,7 @@
 from codegate.pipeline.factory import PipelineFactory
 from codegate.providers.anthropic.provider import AnthropicProvider
 from codegate.providers.llamacpp.provider import LlamaCppProvider
+from codegate.providers.lm_studio.provider import LmStudioProvider
 from codegate.providers.ollama.provider import OllamaProvider
 from codegate.providers.openai.provider import OpenAIProvider
 from codegate.providers.registry import ProviderRegistry, get_provider_registry
@@ -96,6 +97,12 @@ async def log_user_agent(request: Request, call_next):
             pipeline_factory,
         ),
     )
+    registry.add_provider(
+        "lm_studio",
+        LmStudioProvider(
+            pipeline_factory,
+        ),
+    )
 
     # Create and add system routes
     system_router = APIRouter(tags=["System"])

tests/test_server.py

@@ -108,8 +108,8 @@ def test_provider_registration(mock_registry, mock_secrets_mgr, mock_pipeline_fa
     # Verify all providers were registered
     registry_instance = mock_registry.return_value
     assert (
-        registry_instance.add_provider.call_count == 5
-    )  # openai, anthropic, llamacpp, vllm, ollama
+        registry_instance.add_provider.call_count == 6
+    )  # openai, anthropic, llamacpp, vllm, ollama, lm_studio
 
     # Verify specific providers were registered
     provider_names = [call.args[0] for call in registry_instance.add_provider.call_args_list]