LiteLLM Minor Fixes & Improvements (10/16/2024) (#6265)

* fix(caching_handler.py): handle positional arguments in add cache logic

Fixes https://github.com/BerriAI/litellm/issues/6264

* feat(litellm_pre_call_utils.py): allow forwarding openai org id to backend client

https://github.com/BerriAI/litellm/issues/6237

* docs(configs.md): add 'forward_openai_org_id' to docs

* fix(proxy_server.py): return model info if user_model is set

Fixes https://github.com/BerriAI/litellm/issues/6233

* fix(hosted_vllm/chat/transformation.py): don't set tools unless non-none

* fix(openai.py): improve debug log for openai 'str' error

Addresses https://github.com/BerriAI/litellm/issues/6272

* fix(proxy_server.py): fix linting error

* fix(proxy_server.py): fix linting errors

* test: skip WIP test

* docs(openai.md): add docs on passing openai org id from client to openai

litellm/llms/OpenAI/openai.py

@@ -590,6 +590,7 @@ class OpenAIChatCompletion(BaseLLM):
         - call chat.completions.create.with_raw_response when litellm.return_response_headers is True
         - call chat.completions.create by default
         """
+        raw_response = None
         try:
             raw_response = openai_client.chat.completions.with_raw_response.create(
                 **data, timeout=timeout
@@ -602,7 +603,14 @@ class OpenAIChatCompletion(BaseLLM):
             response = raw_response.parse()
             return headers, response
         except Exception as e:
-            raise e
+            if raw_response is not None:
+                raise Exception(
+                    "error - {}, Received response - {}, Type of response - {}".format(
+                        e, raw_response, type(raw_response)
+                    )
+                )
+            else:
+                raise e
 
     def completion(  # type: ignore
         self,