Files
litellm/litellm/proxy/client/http_client.py
T
Marc Abramowitz 596c71c360 Add low-level HTTP client (#10452)
The client provides access to a low-level HTTP client for making direct
requests to the LiteLLM proxy server. This is useful when you need more
control or when working with endpoints that don't yet have a high-level
interface.

```python
In [2]: client.http.request(
   ...:     method="POST",
   ...:     uri="/health/test_connection",
   ...:     json={
   ...:         "litellm_params": {
   ...:             "model": "gpt-4",
   ...:             "custom_llm_provider": "azure_ai",
   ...:             "litellm_credential_name": None,
   ...:             "api_key": "6xxxxxxx",
   ...:             "api_base": "https://litellm8397336933...",
   ...:         },
   ...:         "mode": "chat",
   ...:     },
   ...: )
Out[2]:
{'status': 'error',
 'result': {'model': 'gpt-4',
  'custom_llm_provider': 'azure_ai',
  'litellm_credential_name': None,
  'api_base': 'https://litellm8397336933...',
  ...
```
2025-04-30 21:57:06 -07:00

96 lines
3.3 KiB
Python

"""HTTP client for making requests to the LiteLLM proxy server."""
from typing import Any, Dict, Optional, Union
import requests
class HTTPClient:
"""HTTP client for making requests to the LiteLLM proxy server."""
def __init__(self, base_url: str, api_key: Optional[str] = None, timeout: int = 30):
"""Initialize the HTTP client.
Args:
base_url: Base URL of the LiteLLM proxy server
api_key: Optional API key for authentication
timeout: Request timeout in seconds (default: 30)
"""
self._base_url = base_url.rstrip("/")
self._api_key = api_key
self._timeout = timeout
def request(
self,
method: str,
uri: str,
*,
data: Optional[Union[Dict[str, Any], list, bytes]] = None,
json: Optional[Union[Dict[str, Any], list]] = None,
headers: Optional[Dict[str, str]] = None,
**kwargs: Any,
) -> Any:
"""Make an HTTP request to the LiteLLM proxy server.
This method is used to make generic requests to the LiteLLM proxy
server, when there is not a specific client or method for the request.
Args:
method: HTTP method (GET, POST, PUT, DELETE, etc.)
uri: URI path (will be appended to base_url) (e.g., "/credentials")
data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the request.
json: (optional) A JSON serializable Python object to send in the body
of the request.
headers: (optional) Dictionary of HTTP headers to send with the request.
**kwargs: Additional keyword arguments to pass to the request.
Returns:
Parsed JSON response from the server
Raises:
requests.exceptions.RequestException: If the request fails
ValueError: If the response is not valid JSON
Example:
>>> client.http.request("POST", "/health/test_connection", json={
"litellm_params": {
"model": "gpt-4",
"custom_llm_provider": "azure_ai",
"litellm_credential_name": None,
"api_key": "6xxxxxxx",
"api_base": "https://litellm8397336933.openai.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2024-10-21",
},
"mode": "chat",
})
{'status': 'error',
'result': {'model': 'gpt-4',
'custom_llm_provider': 'azure_ai',
'litellm_credential_name': None,
...
"""
# Build complete URL
url = f"{self._base_url}/{uri.lstrip('/')}"
# Prepare headers
request_headers = {}
if headers:
request_headers.update(headers)
if self._api_key:
request_headers["Authorization"] = f"Bearer {self._api_key}"
response = requests.request(
method=method,
url=url,
data=data,
json=json,
headers=request_headers,
timeout=self._timeout,
**kwargs,
)
# Raise for HTTP errors
response.raise_for_status()
# Parse and return JSON response
return response.json()