Does it support asynchronous tool calling?

Yes, the skill provides examples for StructuredTool with both sync and async implementations, allowing for non-blocking operations like API calls or web scraping.

What is the difference between a chain and an agent in LangChain?

A chain follows a predefined, fixed sequence of steps. An agent uses a Large Language Model to decide dynamically which tools to use and in what order to solve a specific problem.

Can I use this skill to create agents with memory?

Yes, the skill includes advanced patterns for using RunnableWithMessageHistory and ChatMessageHistory to allow agents to remember previous interactions.

How does this skill handle tool execution errors?

The skill implements patterns using handle_parsing_errors and Pydantic validation to ensure the agent can recover gracefully from invalid tool calls or execution failures.

LangChain Agent Orchestrator

Name: LangChain Agent Orchestrator
Author: Brmbobo

byBrmbobo

0•

Ciencia de Datos y ML

Builds autonomous AI agents capable of tool calling and multi-step decision-making using the LangChain framework.

This skill provides a comprehensive framework for developing sophisticated LangChain agents that can autonomously interact with external tools and systems. It offers standardized implementation patterns for defining Pydantic-based tool schemas, configuring agent executors with robust error handling, and managing persistent memory via chat history. Whether you are building a research assistant that needs web access or a data processing bot, this skill streamlines the creation of reasoning-capable agents with support for real-time streaming and asynchronous execution.

Características Principales

01Persistent memory integration for conversational context

02Built-in error handling for tool calls and parsing

03Standardized tool definition using Pydantic schemas

040 GitHub stars

05Async support and real-time event streaming

06Autonomous decision-making via LangChain AgentExecutor

Casos de Uso

01Building interactive assistants with multi-step reasoning capabilities

02Developing autonomous bots for database and API interaction

03Creating research agents that search the web and synthesize data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast langchain-core-workflow-b

For use in Claude.ai and ChatGPT

Download Skill