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