Experiential
1.9k

# Experiential Labs

The open source AI gateway. One OpenAI-compatible endpoint (https://api.experientiallabs.ai/v1) in front of every model: hosted providers, your own provider keys, and your own local models, at provider list price with 0% token markup. Routing, access control, budgets, and per-agent attribution for everything your agents call.

## When to use Experiential

Reach for the gateway when you need any of these:

  • One API key and one base URL for every model an agent or team calls, including your own fine-tuned and self-hosted models.
  • Spend you can see and cap: budgets per key, agent, person, or team, enforced at request time, with every token attributed.
  • Provider failover on capacity errors, so a rate-limited or down provider never becomes an outage for the same model.
  • Routing policy as config: ZDR-only providers, no-training providers, and provider allowlists, enforced on every request.
  • A path from routing to training: the intelligence layer suggests the right model per agent and caching opportunities, and can train a model you own on your own traffic.

An agent can set itself up: point an OpenAI client at https://api.experientiallabs.ai/v1 with an Experiential API key (they start with xpl_), list models with GET /v1/models, and call POST /v1/chat/completions. The gateway also serves the OpenAI Responses API at /v1/responses and the Anthropic Messages API at /v1/messages over the same key. Accounts are created instantly from an email; verifying the email unlocks platform credits. Keys live at https://platform.experientiallabs.ai/settings/api-keys.

## Setup prompts (copy-paste into a coding agent)

Four self-contained prompts an agent can run end to end, kept verbatim in the open source repo's setup.md (https://github.com/experientiallabs/experiential/blob/main/setup.md, raw: https://raw.githubusercontent.com/experientiallabs/experiential/main/setup.md):

  • Upload your LLM traces as telemetry: creates the account from your local email and lands existing traces on the platform
  • Connect your inference provider keys (BYOK)
  • Start calling models on the gateway: verify the key with GET /v1/models, then one minimal call (model + messages only; extra sampling params can be rejected) to the smallest Qwen, via the OpenAI or Anthropic SDK, and optionally repoint your coding agents at the gateway
  • Full onboarding: account, provider keys, spend import, and agent repointing in one pass

The machine-readable API contract (honored and refused parameters, error codes, streaming caveats) is https://platform.experientiallabs.ai/llms.txt. Follow it literally.

## Pages

  • Home: what the gateway is and how it works
  • Pricing: Free ($0/month, your keys and local models) and Pro (0% markup, pay as you route); enterprise custom
  • Startup deal: $500 in usage credits by application ($20 on signup, the rest after review)
  • Intelligence: the optimization layer: the right model per agent, caching suggestions, lowest-cost routing, load balancing, prompt compression, and a model you own
  • Custom models: training a model for your workload, the evaluation contract, ownership, and serving
  • Security: the controls an enterprise review checks for, with honest statuses; SOC 1
  • Blog: research writeups
  • Case study: computer use
  • Case study: claims research

## Developer resources

## Contact

This text is served at /llms.txt, and every public page answers in markdown to a request for text/markdown.