# Experiential

> An open source model gateway that provides one control plane across closed, open-source, local, and custom models.

- **Website:** https://github.com/experientiallabs/experiential
- **Pricing:** open source
- **Categories:** Developer Tools, AI Agents
- **Tags:** developer-tools, ai-agents, writing-content
- **Platforms:** CLI
- **Last verified:** 2026-09-10
- **Canonical page:** https://linkrena.com/tools/experiential

## About

Use hosted, BYOK, and local models through one OpenAI-compatible API.

Control which users and agents can use which models, for which use cases, and how much they can spend.

Turn production traffic into a custom router or model optimized for quality, speed, and cost.

Start a local OpenAI-compatible gateway. On first run, the setup wizard uses the shared provider, model, and reasoning-effort selectors, persists every selected provider connection, then shows defaults for the public alias, identity, and $50.00 command budget before printing a one-time key:

Upload your LLM traces as telemetry: create an account instantly from your email, then pull or upload your existing LLM traces onto the platform as telemetry.

Connect your inference provider keys (BYOK): create an account, then connect your own OpenAI, Anthropic, Gemini, Azure, Bedrock, Fireworks, or OpenRouter keys for free pass-through.

Start calling models on the gateway: make your first /v1 call with the OpenAI and Anthropic SDKs using an xpl_ key, and optionally repoint your existing coding agents.

Start the local gateway with exp (or exp run ); the compiled native data plane serves every route on loopback.

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