Aiproxer
Description
Connect any LLM-powered client app, such as a coding agent, to any supported inference backend/model.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
LLM Interactive Proxy
[&cacheSeconds=300)](https://github.com/matdev83/llm-interactive-proxy/actions/workflows/ci.yml?query=branch%3Adev) [](https://codecov.io/gh/matdev83/llm-interactive-proxy)   [](LICENSE)
Turn any compatible AI client into a safer, smarter, multi-provider agent platform.
`LLM Interactive Proxy` is a universal translation, routing, and control layer for modern AI clients. Point OpenAI-compatible apps, Anthropic tools, Gemini integrations, and agentic coding workflows at one local or shared endpoint, then gain routing, failover, built-in security, automated steering, session intelligence, observability, and cross-provider flexibility without rewriting your client. If that matches your needs, it is also a compatibility layer, a security layer, a traffic control plane, a debugging surface, and a workflow improver for serious agentic use.
**Active Development**: This project is continuously evolving with new backends, routing features, and reliability improvements. See the [CHANGELOG](CHANGELOG.md) for the latest additions.
- Keep your existing clients - Change the endpoint, not the app.
- Mix providers freely - Route across APIs, plans, OAuth accounts, model families, and protocol styles.
- Control agents in production - Add guardrails, rewrites, diagnostics, and policy at the proxy layer.
- Debug with evidence - Inspect exact wire traffic instead of guessing from symptoms.
| Without the proxy | With LLM Interactive Proxy |
|---|---|
| Each c |
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