fix(proxy_server.py): provide an endpoint that gives model-specific info from proxy

litellm/proxy/proxy_server.py

@@ -790,6 +790,8 @@ async def embeddings(request: Request, user_api_key_dict: dict = Depends(user_ap
     except Exception as e: 
         pass
 
+#### KEY MANAGEMENT #### 
+
 @router.post("/key/generate", dependencies=[Depends(user_api_key_auth)])
 async def generate_key_fn(request: Request): 
     data = await request.json()
@@ -849,6 +851,52 @@ async def info_key_fn(key: str = fastapi.Query(..., description="Key in the requ
             detail={"error": str(e)},
         )
 
+#### MODEL MANAGEMENT #### 
+
+#### [BETA] - This is a beta endpoint, format might change based on user feedback. - https://github.com/BerriAI/litellm/issues/933
+@router.get("/model/info", description="Provides more info about each model in /models, including config.yaml descriptions", tags=["model management"], dependencies=[Depends(user_api_key_auth)])
+async def model_info(request: Request):
+    global llm_model_list, general_settings   
+    all_models = [] 
+    for m in llm_model_list: 
+        model_dict = {} 
+        model_name = m["model_name"]
+        model_params = {}
+        for k,v in m["litellm_params"].items():
+            if k == "api_key": # don't send the api key
+                continue 
+            
+            if k == "model": 
+                ########## remove -ModelID-XXXX from model ##############
+                original_model_string = v
+                # Find the index of "ModelID" in the string
+                index_of_model_id = original_model_string.find("-ModelID")
+                # Remove everything after "-ModelID" if it exists
+                if index_of_model_id != -1:
+                    v = original_model_string[:index_of_model_id]
+                else:
+                    v = original_model_string
+            
+            model_params[k] = v
+
+        model_dict["model_name"] = model_name
+        model_dict["model_params"] = model_params
+        all_models.append(model_dict)
+    # all_models = list(set([m["model_name"] for m in llm_model_list]))
+    print_verbose(f"all_models: {all_models}")
+    return dict(
+        data=[
+            {
+                "id": model,
+                "object": "model",
+                "created": 1677610602,
+                "owned_by": "openai",
+            }
+            for model in all_models
+        ],
+        object="list",
+    )
+    pass
 #### EXPERIMENTAL QUEUING #### 
 @router.post("/queue/request", dependencies=[Depends(user_api_key_auth)])
 async def async_queue_request(request: Request): 
@@ -896,6 +944,7 @@ async def retrieve_server_log(request: Request):
     filepath = os.path.expanduser("~/.ollama/logs/server.log")
     return FileResponse(filepath)
 
+
 #### BASIC ENDPOINTS #### 
 
 @router.get("/test")