LLM responses.#

Wrapper around langchain.

class LLM_API(model, system_prompt='', position_config=None)[source]#

Bases: object

This class acts as a wrapper for all LLMs from langchain and handles message exchange between remote model and chatsky classes.

async respond(history, message_schema=None)[source]#

Process and structure the model’s response based on the provided schema.

Parameters:

  • history (list[BaseMessage]) – List of previous messages in the conversation

  • message_schema (Union[None, Type[Message], Type[BaseModel]]) – Schema for structuring the output, defaults to None

Return type:

Message

Returns:

Processed model response

Raises:

ValueError – If message_schema is not None, Message, or BaseModel

async condition(history, method)[source]#

Execute a conditional method on the conversation history.

Parameters:

  • history (list[BaseMessage]) – List of previous messages in the conversation

  • method (BaseMethod) – Method to evaluate the condition

Return type:

bool

Returns:

Boolean result of the condition evaluation