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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Experiential Labs
Experiential Labs

Experiential Labs

Route AI model requests through a single open-source endpoint with zero markup

Pricing model

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Experiential Labs to access multiple AI models from different providers through a single OpenAI-compatible endpoint. It routes traffic across hosted providers, custom API keys, and private GPUs at provider cost with zero markup. The gateway tracks spend across teams and agents, enforces budget caps, and improves response speed with automatic prompt caching. You can switch between models dynamically, view real-time latency and fallback logs in a centralized console, and route requests to fine-tuned or local models without modifying your application codebase.

What Experiential Labs does

Route requests across hosted models and self-hosted GPUsSet spend caps for individual API keysMonitor token usage and p50 time-to-first-token latencyEnable prompt caching on repetitive agent callsConfigure automatic failover rules when providers return errorsTrack infrastructure costs by developer, agent, and modelSingle OpenAI-compatible endpoint for multiple model providersZero markup on routed tokens with provider pass-through pricingAutomatic prompt caching with up to 90 percent token cost reductionUsage attribution and spend tracking per agent, user, or modelBudget caps enforced per key across daily, weekly, or monthly periodsAutomatic failover and fallback routing across providersSupport for hosted providers, private API keys, and local GPUs

Pricing breakdown

Pricing model: Free tier

Tutorials & Demos

Frequently asked

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Experiential Labs, AI gateway, LLM router, OpenAI compatible endpoint, model routing, prompt caching, token spend tracking, open source gateway, LLM fallback, Bedrock, Azure AI, Anthropic, multi-model API, AI cost management, inference routing