Merge pull request #4274 from BerriAI/litellm_router_multiple_orgs

fix(proxy_server.py): fix llm_model_list to use router.get_model_list()

docs/my-website/docs/proxy/configs.md

@@ -252,6 +252,31 @@ $ litellm --config /path/to/config.yaml
 ```
 
 
+## Multiple OpenAI Organizations 
+
+Add all openai models across all OpenAI organizations with just 1 model definition 
+
+```yaml
+  - model_name: *
+    litellm_params:
+      model: openai/*
+      api_key: os.environ/OPENAI_API_KEY
+      organization:
+       - org-1 
+       - org-2 
+       - org-3
+```
+
+LiteLLM will automatically create separate deployments for each org.
+
+Confirm this via 
+
+```bash
+curl --location 'http://0.0.0.0:4000/v1/model/info' \
+--header 'Authorization: Bearer ${LITELLM_KEY}' \
+--data ''
+```
+
 ## Load Balancing 
 
 :::info

litellm/proxy/_super_secret_config.yaml

@@ -65,6 +65,8 @@ model_list:
     output_cost_per_token: 0
   model_info:
     max_input_tokens: 80920
+
+
 assistant_settings:
   custom_llm_provider: openai
   litellm_params: 

litellm/proxy/proxy_server.py

@@ -1970,7 +1970,7 @@ class ProxyConfig:
         router = litellm.Router(
             **router_params, assistants_config=assistants_config
         )  # type:ignore
-        return router, model_list, general_settings
+        return router, router.get_model_list(), general_settings
 
     def get_model_info_with_id(self, model, db_model=False) -> RouterModelInfo:
         """