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GPT Load
GPT Load is a self-hosted AI gateway that manages multi-channel and multi-credential setups behind a single entry point.
GPT Load is a self-hosted AI gateway designed to unify multiple AI models, providers, and credentials behind a single base URL and access key. It helps developers and teams manage traffic scheduling, failure handling, request logs, and usage accounting through an embedded management UI. The platform supports native protocols including OpenAI, Anthropic, and Gemini, while accommodating official, cloud, and subscription channels such as Codex, Claude, and Grok. Users can configure channels, create access keys, and monitor request trends and cost estimates using SQLite, MySQL, or PostgreSQL databases. It stands out by offering local credential encryption, dynamic multi-route scheduling, and transparent health inspection for all connected services.
GPT Load at a glance
- Best for: Software engineer
- Runs on: Docker, Linux, macOS, Windows, self-hosted
- Pricing: Free
- Released: October 2026
- Category: AI coding tool
- Website: github.com/tbphp/gpt-load
Key features
- Manage multiple AI channels and credentials through a single entry point
- Support native interfaces for OpenAI, Anthropic, and Gemini
- Configure scheduling policies, weights, retries, and cooldowns
- Isolate failures with automatic blacklisting and session affinity
- Inspect health, routes, logs, and cost estimates in an embedded UI
- Store data securely with local credential encryption
- Deploy easily using Docker Compose or native binaries
Use it for
- Centralize multiple AI provider API keys and subscriptions
- Route and schedule traffic across different AI models and services
- Monitor request logs, usage statistics, and cost estimates
- Isolate failing credentials and handle automated retries
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