LiteLLM

pydantic model llama_index.llms.litellm.LiteLLM

Show JSON schema

{
   "title": "LiteLLM",
   "description": "LLM interface.",
   "type": "object",
   "properties": {
      "callback_manager": {
         "title": "Callback Manager"
      },
      "model": {
         "title": "Model",
         "description": "The LiteLLM model to use.",
         "type": "string"
      },
      "temperature": {
         "title": "Temperature",
         "description": "The tempature to use during generation.",
         "type": "number"
      },
      "max_tokens": {
         "title": "Max Tokens",
         "description": "The maximum number of tokens to generate.",
         "type": "integer"
      },
      "additional_kwargs": {
         "title": "Additional Kwargs",
         "description": "Additonal kwargs for the LLM API.",
         "type": "object"
      },
      "max_retries": {
         "title": "Max Retries",
         "description": "The maximum number of API retries.",
         "type": "integer"
      },
      "class_type": {
         "title": "Class Type",
         "default": "litellm",
         "type": "string"
      }
   },
   "required": [
      "model",
      "temperature",
      "max_retries"
   ]
}

Config

• arbitrary_types_allowed: bool = True

Fields

• additional_kwargs (Dict[str, Any])

• max_retries (int)

• max_tokens (Optional[int])

• model (str)

• temperature (float)

Validators

• _validate_callback_manager » callback_manager

field additional_kwargs: Dict[str, Any] [Optional]

Additonal kwargs for the LLM API.

field max_retries: int [Required]

The maximum number of API retries.

field max_tokens: Optional[int] = None

The maximum number of tokens to generate.

field model: str [Required]

The LiteLLM model to use.

field temperature: float [Required]

The tempature to use during generation.

async achat(messages: Sequence[ChatMessage], **kwargs: Any) → Any

Async chat endpoint for LLM.

async acomplete(*args: Any, **kwargs: Any) → Any

Async completion endpoint for LLM.

async astream_chat(messages: Sequence[ChatMessage], **kwargs: Any) → Any

Async streaming chat endpoint for LLM.

async astream_complete(*args: Any, **kwargs: Any) → Any

Async streaming completion endpoint for LLM.

chat(messages: Sequence[ChatMessage], **kwargs: Any) → Any

Chat endpoint for LLM.

classmethod class_name() → str

Get class name.

complete(*args: Any, **kwargs: Any) → Any

Completion endpoint for LLM.

stream_chat(messages: Sequence[ChatMessage], **kwargs: Any) → Any

Streaming chat endpoint for LLM.

stream_complete(*args: Any, **kwargs: Any) → Any

Streaming completion endpoint for LLM.

property metadata: LLMMetadata

LLM metadata.