UNPKG

gaunt-sloth-assistant

Version:

[![Tests and Lint](https://github.com/Galvanized-Pukeko/gaunt-sloth-assistant/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/Galvanized-Pukeko/gaunt-sloth-assistant/actions/workflows/unit-tests.yml) [![Integration Tests](https://github.co

25 lines (24 loc) 1.35 kB
import { GthConfig } from '#src/config.js'; import type { AnthropicInput } from '@langchain/anthropic'; import type { BaseChatModel, BaseChatModelParams } from '@langchain/core/language_models/chat_models'; import { AIMessage } from '@langchain/core/messages'; import { BinaryOperatorAggregate, Messages, StateType } from '@langchain/langgraph'; /** * Function to process JSON config and create Anthropic LLM instance */ export declare function processJsonConfig(llmConfig: AnthropicInput & BaseChatModelParams): Promise<BaseChatModel>; export declare function init(configFileName: string): void; export declare function postProcessJsonConfig(config: GthConfig): GthConfig; /** * There's something off with calling server tools with ReAct agent, * the tool is not added in react_agent_executor because it is not Runnable, * but the tool_node explodes because LLM reports calling non-existing tool. * This method removes tool calls from messages, leaving the resulting content. * This method seems unnecessary with OpenAI, but is needed for Anthropic, * OpenAI does not need a name on the tool and does not seem to return server_tool_use. */ export declare function postModelHook(state: StateType<{ messages: BinaryOperatorAggregate<AIMessage[], Messages>; }>): StateType<{ messages: BinaryOperatorAggregate<AIMessage[], Messages>; }>;