LiteLLM#

pydantic model llama_index.llms.litellm.LiteLLM#

Show JSON schema

{
   "title": "LiteLLM",
   "description": "LLM interface.",
   "type": "object",
   "properties": {
      "callback_manager": {
         "title": "Callback Manager"
      },
      "system_prompt": {
         "title": "System Prompt",
         "description": "System prompt for LLM calls.",
         "type": "string"
      },
      "messages_to_prompt": {
         "title": "Messages To Prompt"
      },
      "completion_to_prompt": {
         "title": "Completion To Prompt"
      },
      "output_parser": {
         "title": "Output Parser"
      },
      "pydantic_program_mode": {
         "default": "default",
         "allOf": [
            {
               "$ref": "#/definitions/PydanticProgramMode"
            }
         ]
      },
      "query_wrapper_prompt": {
         "title": "Query Wrapper Prompt"
      },
      "model": {
         "title": "Model",
         "description": "The LiteLLM model to use. For complete list of providers https://docs.litellm.ai/docs/providers",
         "default": "gpt-3.5-turbo",
         "type": "string"
      },
      "temperature": {
         "title": "Temperature",
         "description": "The temperature to use during generation.",
         "default": 0.1,
         "gte": 0.0,
         "lte": 1.0,
         "type": "number"
      },
      "max_tokens": {
         "title": "Max Tokens",
         "description": "The maximum number of tokens to generate.",
         "exclusiveMinimum": 0,
         "type": "integer"
      },
      "additional_kwargs": {
         "title": "Additional Kwargs",
         "description": "Additional kwargs for the LLM API.",
         "type": "object"
      },
      "max_retries": {
         "title": "Max Retries",
         "description": "The maximum number of API retries.",
         "default": 10,
         "type": "integer"
      },
      "class_name": {
         "title": "Class Name",
         "type": "string",
         "default": "litellm_llm"
      }
   },
   "definitions": {
      "PydanticProgramMode": {
         "title": "PydanticProgramMode",
         "description": "Pydantic program mode.",
         "enum": [
            "default",
            "openai",
            "llm",
            "guidance",
            "lm-format-enforcer"
         ],
         "type": "string"
      }
   }
}

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
set_completion_to_prompt » completion_to_prompt
set_messages_to_prompt » messages_to_prompt

field additional_kwargs: Dict[str, Any] [Optional]#: Additional kwargs for the LLM API.

field max_retries: int = 10#: The maximum number of API retries.

field max_tokens: Optional[int] = None#

The maximum number of tokens to generate.

Constraints

exclusiveMinimum = 0

field model: str = 'gpt-3.5-turbo'#: The LiteLLM model to use. For complete list of providers https://docs.litellm.ai/docs/providers

field temperature: float = 0.1#: The temperature 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 the class name, used as a unique ID in serialization.

This provides a key that makes serialization robust against actual class name changes.

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.