# Experiential Labs

Experiential Labs는 팀이 단일 엔드포인트와 API 키로 호스팅 모델, 고객 소유 키, 로컬 또는 맞춤형 모델을 이용할 수 있도록 하는 오픈소스 AI 게이트웨이입니다. 에이전트 트래픽을 위한 라우팅, 예산, 액세스 제어, 어트리뷰션 및 선택형 인텔리전스 기능도 제공합니다.

- Findings24: <https://findings24.com/ko/tools/experiential-labs>
- 웹사이트: <https://www.experientiallabs.ai>
- 가격: Freemium
- 카테고리: AI 개발 도구

## Experiential Labs란 무엇인가요?

Experiential Labs is an open source AI gateway for routing model traffic through one OpenAI-compatible endpoint. It lets teams point agents and applications at a single API while using hosted providers, their own provider keys, or local and custom models behind the same interface.

The product is designed to centralize key management, usage controls, and attribution across model calls. Its core gateway is free and open source to self-host, while the hosted service adds managed routing, org controls, and an intelligence layer that can suggest cheaper or faster routes, improve cache hit rate, and support a model trained on a team’s traffic.

## Experiential Labs(으)로 무엇을 할 수 있나요?

### OpenAI-compatible gateway endpoint

Exposes a single \`/v1\` endpoint with streaming support so existing clients can connect without changing their basic API shape.

### Provider routing and failover

Routes requests across hosted providers, cloud hosts, pooled accounts, customer keys, and local models, with failover on capacity or provider errors.

### Budgets and model allowlists

Enforces hard caps, model allowlists, and request-level policies at the gateway so limits apply on every call.

### Usage tracking and attribution

Provides logs and dashboards for spend, requests, token counts, TTFT, and usage broken down by agent, person, model, or day.

### BYOK and local models

Supports bringing your own provider keys and, on higher plans, routing to local and custom models through the same endpoint.

### Intelligence layer

Offers per-prompt model optimization, caching suggestions, prompt compression guidance, and an opt-in model trained on the team’s traffic.

## 사용 사례

### Centralizing model access for a team

Teams that use multiple model providers can give agents and developers one endpoint, one login, and one place to manage keys and policies.

### Keeping spend under control

Admins can set caps, route by budget, and inspect usage by key, person, agent, or day to understand where costs are coming from.

### Improving agent routing

Product and engineering teams can use the intelligence layer to route simple prompts to cheaper models and harder prompts to stronger ones.

### Supporting self-hosted or local inference

Organizations that want to run the gateway on their own infrastructure can self-host the open source core and route to local models behind the same API.

### Auditing request behavior

Teams that need recordkeeping can review request logs with route, token, fallback, and cost data for individual calls.

## 자주 묻는 질문

### How does pricing work?

Pricing is credit-based. Routed tokens spend credits at the provider’s list price with no markup, and intelligence features also consume credits. The site offers a Free plan, a Pro plan, and Enterprise with custom committed credits.

### Can I bring my own provider keys?

Yes. The site says BYOK is supported, and routed traffic can use your own provider keys first.

### Can I self-host the gateway?

Yes. The core gateway is open source and can be run on your own infrastructure.

### Does the gateway support access controls?

Yes. The site mentions budgets, allowlists, RBAC, org-wide policies, and API key management.

### What does the intelligence layer do?

It can suggest optimal model routing, identify caching opportunities, and support an opt-in model trained on your traffic.

## 주요 정보

- **Category**: Developer Tool
- **Product type**: Open source AI gateway
- **Primary users**: Teams and agents routing calls across multiple model providers
- **Deployment**: Hosted service or self-hosted on your infrastructure
- **API style**: OpenAI-compatible \`/v1\` endpoint
- **Source domain**: experientiallabs.ai