AutoChain

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AutoChain is an AI Agents & Automation tool that provides a lightweight and extensible framework for building LLM agents. It simplifies agent customization and evaluation, supporting custom tools and automated multi-turn conversation evaluation.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is AutoChain?

AutoChain is a robust framework designed for developers to build lightweight, extensible, and testable LLM agents. It addresses the challenges of customizing generative agents for specific purposes and the manual, repetitive nature of evaluating them. Inspired by LangChain and AutoGPT, AutoChain offers a simplified approach to agent development, allowing for rapid iteration through easy prompt updates and minimal abstraction layers. A key differentiator is its automated multi-turn conversation evaluation framework, which uses LLM-simulated test users to assess agent performance across various scenarios, ensuring comprehensive testing and reducing regression risks. It supports custom tools and OpenAI function calling, making it versatile for different generative agent applications.

Best used for

Ideal for developers who need to rapidly build and iterate on custom generative agents, integrate various tools, and automatically evaluate multi-turn conversations. Especially valuable for ensuring agent robustness and preventing regressions across different user scenarios.

Common actions

build LLM agents

customize generative agents

evaluate agent performance

automate conversations

integrate custom tools

collaborationworkflowsdeepfakelow-code/no-codeautomated workflowopen-sourcegithub copilotface swapping"AI Agents"

Capabilities

Key features

Lightweight agent pipeline
Custom tool support
OpenAI function calling
Memory tracking
Automated multi-turn evaluation
Easy prompt updates

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

How does AutoChain simplify agent building compared to other frameworks?

AutoChain simplifies agent building by offering a lightweight framework with fewer abstraction layers and easy prompt updating. It focuses on rapid iteration and provides a testing framework for automated multi-turn evaluation, which is often a pain point in other generative agent tools.

What kind of evaluation capabilities does AutoChain offer?

AutoChain provides an automated multi-turn conversation evaluation framework. It runs conversations between a generative agent and LLM-simulated test users, incorporating various user contexts and desired outcomes. This allows for easy addition of test cases and fast evaluation of agent performance.

Can AutoChain integrate with custom tools and OpenAI functions?

Yes, AutoChain is designed to be extensible and supports the use of different custom tools. It also includes built-in support for OpenAI function calling, automatically converting function specifications into the required OpenAI format without explicit instructions.

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