Agent-Service-Toolkit

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agent-service-toolkit is an AI Agents & Automation tool that provides a full toolkit for running an AI agent service. It is built with LangGraph, FastAPI, and Streamlit, offering a complete setup from agent definition to user interface.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is agent-service-toolkit?

The agent-service-toolkit is a comprehensive solution for developing and deploying AI agent services, built upon LangGraph, FastAPI, and Streamlit. It includes a customizable LangGraph agent, a FastAPI service for serving agents with streaming and non-streaming endpoints, and a user-friendly Streamlit app for chat interaction, including voice input and output. The toolkit supports multiple agents, asynchronous design for efficient request handling, and content moderation via Safeguard. It also features a basic RAG agent implementation with ChromaDB, a star-based feedback system integrated with LangSmith, and robust Docker support for easy development and deployment. This project serves as a template for building and running custom agents, providing a full, robust toolkit for LangGraph-based projects.

Best used for

Ideal for developers who need to quickly prototype and deploy AI agents, build interactive chat applications, and integrate advanced LangGraph features. Especially valuable for those looking for a complete, robust template to get started with agent-based services.

Common actions

build AI agents

deploy AI services

create chat interfaces

integrate LangGraph

face swappinggithub copilot"AI Agents"workflowsautomated workflowopen-sourcedeepfakelow-code/no-codecollaboration

Capabilities

Key features

LangGraph agent
FastAPI service
Streamlit chat interface
Advanced streaming
Multiple agent support
Docker support
Content moderation

Target Audience

developer

Integrations

langsmithchromadbollamavertex-aigroq

Pricing & Plans

Open Source

Free

FAQs

What frameworks are used to build the agent-service-toolkit?

The agent-service-toolkit is built using LangGraph for agent orchestration, FastAPI for serving the agent as a service, and Streamlit for providing a user-friendly chat interface. This combination offers a comprehensive and robust solution.

Can I customize the AI agents provided in the toolkit?

Yes, the toolkit is designed for customization. You can add new agents to the `src/agents` directory, modify existing ones, and integrate them into the service by updating the `src/agents/agents.py` file. The Streamlit app can also be adjusted.

Does the toolkit support different LLM providers?

Yes, the toolkit is designed to be flexible with LLM providers. It requires at least one LLM API key (e.g., OpenAI API key) and supports various configurations, including Ollama, VertexAI, and Groq for content moderation.

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Subcategories trending in AI Agents & Automation

Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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Also listed in

This tool also appears in

Coding & Development › Backend & APIs Coding & Development › Coding Agents Coding & Development › Frontend & UI

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