add docstring for /embeddings and /completions

litellm/proxy/proxy_server.py

@@ -3294,6 +3294,24 @@ async def completion(
     model: Optional[str] = None,
     user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
 ):
+    """
+    Follows the exact same API spec as `OpenAI's Completions API https://platform.openai.com/docs/api-reference/completions`
+
+    ```bash
+    curl -X POST http://localhost:4000/v1/completions \
+
+    -H "Content-Type: application/json" \
+
+    -H "Authorization: Bearer sk-1234" \
+
+    -d '{
+        "model": "gpt-3.5-turbo-instruct",
+        "prompt": "Once upon a time",
+        "max_tokens": 50,
+        "temperature": 0.7
+    }'
+    ```
+    """
     global user_temperature, user_request_timeout, user_max_tokens, user_api_base
     data = {}
     try:
@@ -3500,6 +3518,23 @@ async def embeddings(
     model: Optional[str] = None,
     user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
 ):
+    """
+    Follows the exact same API spec as `OpenAI's Embeddings API https://platform.openai.com/docs/api-reference/embeddings`
+
+    ```bash
+    curl -X POST http://localhost:4000/v1/embeddings \
+
+    -H "Content-Type: application/json" \
+
+    -H "Authorization: Bearer sk-1234" \
+
+    -d '{
+        "model": "text-embedding-ada-002",
+        "input": "The quick brown fox jumps over the lazy dog"
+    }'
+    ```
+
+"""
     global proxy_logging_obj
     data: Any = {}
     try: