AI Developer Tools

GreyFox Community Edition

Self-hosted AI traffic proxy and local operator console for teams to control LLM token usage, enforce user limits, cache responses, and monitor AI traffic.

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GreyFox Community Edition

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What is GreyFox Community Edition?

GreyFox Community Edition is a self-hosted AI traffic proxy and local operator console that provides an OpenAI-compatible endpoint, per-user token quota enforcement, exact response caching, and a local admin UI for managing AI traffic within your own infrastructure.

GreyFox Community Edition vs Similar AI Tools

Pricing ModelFreeFree, PaidFree, FreemiumCustom Pricing
Free Credits
Key Features
  • OpenAI-compatible proxy endpoint
  • Local Admin UI served from the same container
  • Per-user token quota enforcement with X-App-User-Id
  • Unified API gateway for 500+ models with fallback and load balancing
  • Real-time tracing and observability for every LLM call
  • Evaluation workflows combining code checks, LLM judges, and human review
  • GraphQL API for posts, ideas, channels, and analytics
  • MCP server for native connections to Claude, ChatGPT, Cursor, Raycast, and Perplexity
  • AI-powered developer support in the docs
  • AI-generated pipeline code (connectors, transforms, write strategies)
  • Auto-enforced naming conventions, medallion architecture, schema evolution
  • Built-in data quality tests and anomaly detection
Pros
  • Self-hosted with full data privacy
  • Easy Docker setup with compose.yaml
  • Unified API simplifies integration with multiple LLM providers
  • Comprehensive observability with tracing and monitoring
  • Easy to set up with clear documentation
  • Official API partner with major social platforms
  • No vendor lock-in (pipelines ship as code in your repo)
  • Faster pipeline deployment
Cons
  • Limited to 5 active managed users
  • No automatic updates
  • Can introduce additional latency compared to direct provider calls
  • Pricing may become expensive at high scale
  • Rate limits vary by plan and can be restrictive on free tier
  • Advanced features require upgrading to paid plans
  • Pricing not publicly available
  • Requires initial setup and integration with existing infrastructure
Best For
  • Teams wanting to control LLM token usage
  • Developers integrating AI APIs with quota management
  • Developers building LLM-powered applications
  • Teams scaling AI agents with observability needs
  • Developers building custom social media automations
  • Marketing teams integrating Buffer with existing workflows
  • Data engineering teams
  • Enterprises needing data governance

How to use GreyFox Community Edition?

  1. 1Create a compose.yaml file with the GreyFox Docker image.
  2. 2Start GreyFox with 'docker compose up -d'.
  3. 3Open the Admin UI at http://localhost:8080.
  4. 4Configure provider settings (Mock mode or OpenAI-compatible provider).
  5. 5Change your application's AI provider base URL to the GreyFox endpoint.
  6. 6Add X-App-User-Id header to identify users.

GreyFox Community Edition Key Features

  • OpenAI-compatible proxy endpoint
  • Local Admin UI served from the same container
  • Per-user token quota enforcement with X-App-User-Id
  • Exact response cache for repeated non-streaming requests
  • Local SQLite storage for settings, users, logs, cache, and metrics
  • Traffic history, token analytics, and manual cost calculator
  • Mock mode for zero-cost onboarding and demos
  • Provider mode for OpenAI-compatible upstream APIs
  • Prompt injection guard

GreyFox Community Edition Use Cases

  • Team management of LLM token usage
  • Self-hosted AI traffic monitoring and analytics
  • Enforcing per-user API limits across an organization
  • Caching repeated AI requests to reduce costs
  • Development and testing with mock mode

GreyFox Community Edition Pricing & Free Credits

GreyFox Community Edition currently operates on a Free model.

This tool is completely free to use

Community Edition

Free

Self-hosted AI traffic proxy with up to 5 active managed users, local SQLite storage, and no hosted control plane.

GreyFox Community Edition Pros & Cons

Pros

  • Self-hosted with full data privacy
  • Easy Docker setup with compose.yaml
  • OpenAI-compatible API endpoint
  • Per-user token quota enforcement
  • Exact response cache for repeated requests

Cons

  • Limited to 5 active managed users
  • No automatic updates
  • Cost estimates are manual and informational only
  • No hosted cloud control plane

What is GreyFox Community Edition best for?

  • Teams wanting to control LLM token usage
  • Developers integrating AI APIs with quota management
  • Organizations requiring data privacy and local infrastructure
  • Small teams and demos

GreyFox Community Edition FAQ

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