Experiential Labs

Experiential Labs is an open-source AI gateway that routes traffic across models, manages budgets, and optimizes performance.

Experiential Labs is an open-source AI gateway that routes traffic, manages access control, and handles attribution for every model your agents call. It lets teams use hosted providers, personal API keys, and local GPUs behind a single endpoint at the provider's exact price. The platform includes caching, prompt optimization, model suggestions, and fine-tuning options trained on your actual traffic. It is built for developers and organizations running multiple AI agents who need spend controls, usage attribution, and fallback resilience. Supported integrations include OpenAI, Anthropic, Gemini, Meta, DeepSeek, Mistral, Bedrock, and Azure AI Foundry. Users can run the open-source core locally or use the hosted gateway with organization policies and budgets.

Experiential Labs at a glance

Best for: Software engineer
Runs on: Web, API, self-hosted, open source
Pricing: Free plan with 500 credits/month after $1 verification; Pro plan with larger allotment; Enterprise custom pricing; open source core is free to self-host.
Released: September 2026
Category: AI agent tool
Website: experientiallabs.ai

Key features

Route traffic across multiple AI providers using one endpoint
Set spending budgets and hard caps by day, week, or month
Monitor usage history, token counts, and cost attribution
Optimize prompts and improve cache hit rates for repeated tokens
Fine-tune custom models on your own workflow traffic
Enforce model allowlists and local-only access scopes
Failover across providers and pooled accounts automatically

Use it for

Manage API keys and spending limits for company-wide AI agents
Switch between frontier models and custom fine-tuned models
Reduce token costs using automatic prompt caching and routing
Track exact spend and request logs by agent, person, or model

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