Gradient Base Model

pydantic model llama_index.llms.gradient.GradientBaseModelLLM

Show JSON schema

{
   "title": "GradientBaseModelLLM",
   "description": "Simple abstract base class for custom LLMs.\n\nSubclasses must implement the `__init__`, `complete`,\n    `stream_complete`, and `metadata` methods.",
   "type": "object",
   "properties": {
      "callback_manager": {
         "title": "Callback Manager"
      },
      "max_tokens": {
         "title": "Max Tokens",
         "description": "The number of tokens to generate.",
         "default": 256,
         "exclusiveMinimum": 0,
         "exclusiveMaximum": 512,
         "type": "integer"
      },
      "access_token": {
         "title": "Access Token",
         "description": "The Gradient access token to use.",
         "type": "string"
      },
      "host": {
         "title": "Host",
         "description": "The url of the Gradient service to access.",
         "type": "string"
      },
      "workspace_id": {
         "title": "Workspace Id",
         "description": "The Gradient workspace id to use.",
         "type": "string"
      },
      "is_chat_model": {
         "title": "Is Chat Model",
         "description": "Whether the model is a chat model.",
         "default": false,
         "type": "boolean"
      },
      "base_model_slug": {
         "title": "Base Model Slug",
         "description": "The slug of the base model to use.",
         "type": "string"
      },
      "class_name": {
         "title": "Class Name",
         "type": "string",
         "default": "custom_llm"
      }
   },
   "required": [
      "base_model_slug"
   ]
}

Config

• arbitrary_types_allowed: bool = True

Fields

• access_token (Optional[str])

• base_model_slug (str)

• callback_manager (llama_index.callbacks.base.CallbackManager)

• host (Optional[str])

• is_chat_model (bool)

• max_tokens (Optional[int])

• workspace_id (Optional[str])

Validators

• _validate_callback_manager » callback_manager

field access_token: Optional[str] = None

The Gradient access token to use.

field base_model_slug: str [Required]

The slug of the base model to use.

field host: Optional[str] = None

The url of the Gradient service to access.

field is_chat_model: bool = False

Whether the model is a chat model.

field max_tokens: Optional[int] = 256

The number of tokens to generate.

Constraints

• exclusiveMinimum = 0

• exclusiveMaximum = 512

field workspace_id: Optional[str] = None

The Gradient workspace id to use.

close() → None

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

Completion endpoint for LLM.

stream_complete(prompt: str, **kwargs: Any) → Generator[CompletionResponse, None, None]

Streaming completion endpoint for LLM.

property metadata: LLMMetadata

LLM metadata.