FastChat

Open Source

LLM Inference Updated Feb 15, 2026

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Compared with 16 other LLM Inference agents Open source Self-hostable Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Free to use under an open-source license.

🎯 Use Cases

Deploying multiple LLMs for research or production use Building custom chat interfaces for different models Integrating LLMs into applications via RESTful APIs Benchmarking and comparing model performance Scaling LLM inference across distributed systems

⚖️ Pros & Cons

✅ Pros

Supports multiple models in a unified serving system
OpenAI-compatible API for easy integration
Web UI for interactive model testing
Distributed architecture for scalability

❌ Cons

Requires technical expertise to deploy and manage
Performance may vary depending on hardware
Limited official support compared to commercial offerings

Overview

FastChat is an open-source platform for serving and interacting with multiple large language models (LLMs) efficiently. It provides a distributed serving system with a web-based UI and OpenAI-compatible RESTful APIs, enabling seamless integration with existing workflows.

Problem It Solves

It simplifies the deployment and management of multiple LLMs in a scalable, distributed environment while offering easy-to-use interfaces for interaction.

Target Audience: Developers and teams working with llm inference automation.

Inputs

• User configuration
• API credentials (if required)
• Task parameters

Outputs

• Automated task results
• Status reports
• Generated content or actions

Example Workflow

1 User configures the agent with required parameters
2 Agent receives input data or trigger
3 Agent processes the request using its core logic
4 Agent interacts with external services if needed
5 Results are returned to the user

Sample System Prompt


              You are FastChat, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

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FAQs

Is this agent open-source?: Yes
Can this agent be self-hosted?: Yes
What skill level is required?: Intermediate

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