Praxis AI is a programmable gateway for AI traffic. It extends Praxis with provider-aware filters, agentic protocols, response storage, guardrails, and observability—all configured at the proxy layer.
Use it to route requests by model or API format, translate between provider protocols, enrich prompts, manage OpenAI Responses state, broker MCP and A2A traffic, and expose token usage without coupling those concerns to every application.
- Route AI traffic by model, provider format, tool composition, or other facts extracted from a request.
- Bridge provider APIs with support for OpenAI Responses and Conversations, Anthropic Messages, and streaming event translation.
- Support agentic workloads through MCP and A2A classification, brokering, and routing.
- Add gateway capabilities such as credential injection, prompt enrichment, external guardrails, token accounting, and SQLite or PostgreSQL response storage.
- Stay extensible with custom Rust filters built on Praxis's
HttpFilterinterface.
See the complete feature overview and filter reference for the full list.
Clients keep their provider-native protocols while Praxis AI classifies, transforms, and routes traffic through one policy-driven gateway.
Build and start the gateway with its built-in configuration:
make release
./target/release/praxis-aiThen check that it is running:
curl http://127.0.0.1:8080/{"status": "ok", "server": "praxis-ai"}Ready to connect a backend? Follow the quickstart, or choose from the example configurations for OpenAI, Anthropic, MCP, A2A, routing, guardrails, token usage, and more.
| If you want to… | Start here |
|---|---|
| Run Praxis AI locally | Quickstart |
| Browse supported capabilities | Feature overview |
| Configure a filter | Filter reference |
| Understand the design | Architecture docs |
| Build or test the workspace | Development guide |
| Add a new filter | Adding filters |
Praxis AI handles the AI-specific layer. For listeners, TLS, load balancing, rate limiting, health checks, and other core proxy features, visit the Praxis repository.
Important
Praxis AI is alpha software. APIs, configuration, and operational
behavior may change before v1.0.0. See the security policy
for the supported release line.
Released container images are available from
ghcr.io/praxis-proxy/ai. Source builds and local
development instructions are in the development guide.
docker pull ghcr.io/praxis-proxy/ai:0.1Podman can pull the same OCI image. See the quickstart for a source build and the release documentation for image contents and tagging.
Contributions are welcome, from bug reports and documentation fixes to new filters and protocol support. Before opening a pull request, please read the contributing guide and development setup.
For larger changes, start a discussion and follow the proposal process so we can shape the idea together.