Merge pull request #4627 from BerriAI/litellm_fix_thread_auth

[Fix] Authentication on /thread endpoints on Proxy

litellm/proxy/proxy_server.py

@@ -3960,6 +3960,101 @@ async def get_assistants(
             )
 
 
+@router.post(
+    "/v1/assistants",
+    dependencies=[Depends(user_api_key_auth)],
+    tags=["assistants"],
+)
+@router.post(
+    "/assistants",
+    dependencies=[Depends(user_api_key_auth)],
+    tags=["assistants"],
+)
+async def create_assistant(
+    request: Request,
+    fastapi_response: Response,
+    user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
+):
+    """
+    Create assistant
+
+    API Reference docs - https://platform.openai.com/docs/api-reference/assistants/createAssistant
+    """
+    global proxy_logging_obj
+    try:
+        # Use orjson to parse JSON data, orjson speeds up requests significantly
+        body = await request.body()
+        data = orjson.loads(body)
+
+        # Include original request and headers in the data
+        data = await add_litellm_data_to_request(
+            data=data,
+            request=request,
+            general_settings=general_settings,
+            user_api_key_dict=user_api_key_dict,
+            version=version,
+            proxy_config=proxy_config,
+        )
+
+        # for now use custom_llm_provider=="openai" -> this will change as LiteLLM adds more providers for acreate_batch
+        if llm_router is None:
+            raise HTTPException(
+                status_code=500, detail={"error": CommonProxyErrors.no_llm_router.value}
+            )
+        response = await llm_router.acreate_assistants(**data)
+
+        ### ALERTING ###
+        asyncio.create_task(
+            proxy_logging_obj.update_request_status(
+                litellm_call_id=data.get("litellm_call_id", ""), status="success"
+            )
+        )
+
+        ### RESPONSE HEADERS ###
+        hidden_params = getattr(response, "_hidden_params", {}) or {}
+        model_id = hidden_params.get("model_id", None) or ""
+        cache_key = hidden_params.get("cache_key", None) or ""
+        api_base = hidden_params.get("api_base", None) or ""
+
+        fastapi_response.headers.update(
+            get_custom_headers(
+                user_api_key_dict=user_api_key_dict,
+                model_id=model_id,
+                cache_key=cache_key,
+                api_base=api_base,
+                version=version,
+                model_region=getattr(user_api_key_dict, "allowed_model_region", ""),
+            )
+        )
+
+        return response
+    except Exception as e:
+        await proxy_logging_obj.post_call_failure_hook(
+            user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
+        )
+        verbose_proxy_logger.error(
+            "litellm.proxy.proxy_server.create_assistant(): Exception occured - {}".format(
+                str(e)
+            )
+        )
+        verbose_proxy_logger.debug(traceback.format_exc())
+        if isinstance(e, HTTPException):
+            raise ProxyException(
+                message=getattr(e, "message", str(e.detail)),
+                type=getattr(e, "type", "None"),
+                param=getattr(e, "param", "None"),
+                code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
+            )
+        else:
+            error_msg = f"{str(e)}"
+            raise ProxyException(
+                message=getattr(e, "message", error_msg),
+                type=getattr(e, "type", "None"),
+                param=getattr(e, "param", "None"),
+                code=getattr(e, "status_code", 500),
+            )
+
+
 @router.post(
     "/v1/threads",
     dependencies=[Depends(user_api_key_auth)],