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How to use Experiential: what you can do with it

What is Experiential? Experiential is an open source gateway and router for agent workflows. It puts hosted, BYOK and local models behind one OpenAI-compatible API, lets you control which users and agents can use which models and how much they can spend, and turns production traffic into a custom router or model optimized for quality, speed and cost.

How do I use it? 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. Full steps below.

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What do you want to do?

3 use cases

Quick start with Experiential

  1. Check you have what it needs: 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.
  2. Open experientiallabs/experiential on GitHub and read the README and license.
  3. Run pip install experiential
  4. 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
  5. Choose a public alias such as opus-5 and capture the issued key
  6. 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

These steps come from our top use case, Run one local gateway in front of all your models, which also has a copy-paste agent prompt.

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Using the Deduped MCP, get the setup steps for experientiallabs/experiential

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

Cursor, ChatGPT, others

Experiential alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers and teams running coding agents or LLM apps who want one endpoint for many models, with spending limits and a path to cheaper routing.
  • Why it is hot13k stars, picked up by one AI source we track
  • LanguagePython
  • Sourcegithub.com/experientiallabs/experiential · Back to Hot repos

Requirements

  • 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

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Questions about Experiential

What is Experiential?

Experiential is an open source gateway and router for agent workflows. It puts hosted, BYOK and local models behind one OpenAI-compatible API, lets you control which users and agents can use which models and how much they can spend, and turns production traffic into a custom router or model optimized for quality, speed and cost. It is an open-source project on GitHub: https://github.com/experientiallabs/experiential.

How do I use Experiential?

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. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Experiential for?

Developers and teams running coding agents or LLM apps who want one endpoint for many models, with spending limits and a path to cheaper routing.

What can I do with Experiential?

3 use cases so far, for example: Run one local gateway in front of all your models; Repoint Claude Code, Cursor and Codex at one gateway; Turn your agent traces into a cheaper router. Each has steps and a copy-paste agent prompt.

What do I need to run Experiential?

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.

What are alternatives to Experiential?

Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.

Is Experiential safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.