test batches endpoint on proxy

litellm/proxy/proxy_server.py

@@ -4898,12 +4898,12 @@ async def create_batch(
 
 
 @router.get(
-    "/v1/batches{batch_id:path}",
+    "/v1/batches/{batch_id:path}",
     dependencies=[Depends(user_api_key_auth)],
     tags=["batch"],
 )
 @router.get(
-    "/batches{batch_id:path}",
+    "/batches/{batch_id:path}",
     dependencies=[Depends(user_api_key_auth)],
     tags=["batch"],
 )
@@ -4993,6 +4993,91 @@ async def retrieve_batch(
             )
 
 
+@router.get(
+    "/v1/batches",
+    dependencies=[Depends(user_api_key_auth)],
+    tags=["batch"],
+)
+@router.get(
+    "/batches",
+    dependencies=[Depends(user_api_key_auth)],
+    tags=["batch"],
+)
+async def list_batches(
+    fastapi_response: Response,
+    limit: Optional[int] = None,
+    after: Optional[str] = None,
+    user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
+):
+    """
+    Lists 
+    This is the equivalent of GET https://api.openai.com/v1/batches/
+    Supports Identical Params as: https://platform.openai.com/docs/api-reference/batch/list
+
+    Example Curl
+    ```
+    curl http://localhost:4000/v1/batches?limit=2 \
+    -H "Authorization: Bearer sk-1234" \
+    -H "Content-Type: application/json" \
+
+    ```
+    """
+    global proxy_logging_obj
+    verbose_proxy_logger.debug("GET /v1/batches after={} limit={}".format(after, limit))
+    try:
+        # for now use custom_llm_provider=="openai" -> this will change as LiteLLM adds more providers for acreate_batch
+        response = await litellm.alist_batches(
+            custom_llm_provider="openai",
+            after=after,
+            limit=limit,
+        )
+
+        ### 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.retrieve_batch(): 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_traceback = traceback.format_exc()
+            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),
+            )
+
+
 ######################################################################
 
 #            END OF  /v1/batches Endpoints Implementation