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How to run one local gateway in front of all your models with Experiential

Start the gateway with exp, get a one-time key and send a normal chat request to a public alias.

Short answer: Run pip install experiential; then run exp to start a local OpenAI-compatible gateway; the setup wizard picks provider, model and reasoning effort, then shows defaults for the public alias, identity and the $50.00 command budget before printing a one-time key; choose a public alias such as opus-5 and capture the issued key. All steps.

Credentials. The gateway holds your provider keys and issues a key of its own, so keep both out of git and out of shared shells.

Who it is forA developer who switches between providers and wants a single OpenAI-compatible endpoint with a budget on it.

The problemEvery tool wants its own provider key and URL, and nothing stops one runaway agent from burning through money.

The outcomeA local OpenAI-compatible gateway that answers requests for an alias you chose, with a command budget attached.

What you need first

  • Python with pip to install the package
  • Provider keys for the models you want to route to (hosted, BYOK or local)
  • For Capture: macOS, Python 3.13 or newer, and approval for its extension and certificate
  • Optional: an account on the hosted platform, and Tinker for fine-tuning an open source model

Steps

  1. Run pip install experiential
  2. Run exp to start a local OpenAI-compatible gateway; the setup wizard picks provider, model and reasoning effort, then shows defaults for the public alias, identity and the $50.00 command budget before printing a one-time key
  3. Choose a public alias such as opus-5 and capture the issued key
  4. Set the key with export EXP_GATEWAY_KEY=..., then send the curl request from the README to http://127.0.0.1:8000/v1/chat/completions with your alias as the model and the key in the Authorization header

Prompt for your agent

Install experientiallabs/experiential with `pip install experiential`, start the local gateway with `exp`, and walk me through the setup wizard. Pick the provider and model I choose, create the public alias <alias>, then send the curl test request from the README and show me the response.

Caveat. The README shows the local gateway on 127.0.0.1:8000 only; check the docs before exposing it to other machines.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for experientiallabs/experiential and "Run one local gateway in front of all your models"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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