One endpoint, every provider. Point any OpenAI-compatible client at the gateway and route to OpenAI, Anthropic, Google, Groq, Mistral, Bedrock, Vertex, and 30+ more providers — with streaming, hooks, and full OpenTelemetry observability. Run it standalone from the CLI, or embed it as a fetch handler inside any server you already have.

FrogBot's core framework embeds this exact package to power its own ai config block — see Configure AI in FrogBot. This package has zero FrogBot dependencies, so it also runs completely on its own: standalone from the CLI, or embedded in any Node/Bun/Deno/Workers server.

Features

• OpenAI-compatible wire formats — Chat Completions, the Responses API, and Anthropic's Messages API, so existing SDKs and clients work unchanged
• 36+ built-in providers plus generic OpenAI-compatible endpoints for anything self-hosted (vLLM, Ollama, LM Studio, ...)
• Every modality — chat, embeddings, images, speech, transcription, reranking, and video
• Streaming everywhere — SSE on chat completions, responses, and messages
• Embeddable — createGateway() returns a WinterCG fetch handler that mounts in Hono, Next.js, Bun, Deno, or Cloudflare Workers
• Lifecycle hooks — beforeOperation → beforeUpstream → afterUpstream/afterError → afterOperation, with token usage aggregated across tool loops
• Observability built in — structured logging (bring your own pino-compatible logger) and OpenTelemetry tracing
• Wire-correct errors — OpenAI's error envelope on every route; same-provider upstream errors forwarded verbatim with their original status
• Fully MIT open source — no gated features, no hosted tier required

Quickstart

OPENAI_API_KEY=sk-... npx @frogbotai/gateway

The CLI auto-discovers providers from environment variables (OPENAI_API_KEY, ANTHROPIC_API_KEY, GOOGLE_GENERATIVE_AI_API_KEY, GROQ_API_KEY, ...) and listens on 0.0.0.0:3939 by default (HOST / PORT / --port to change). If no providers are found it exits with a friendly error listing every env var it looked for.

Model IDs are namespaced as provider/model — the prefix tells the gateway which provider to dispatch to.

Use it with the OpenAI SDK

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'unused', // the gateway holds the upstream keys
  baseURL: 'http://localhost:3939/v1',
});

const res = await client.chat.completions.create({
  model: 'anthropic/claude-sonnet-4-5',
  messages: [{ role: 'user', content: 'Hello' }],
  stream: true,
});

Or with curl

curl http://localhost:3939/v1/chat/completions \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "openai/gpt-4o-mini",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

Endpoints

| Route | Compatibility | Streaming | | ------------------------------- | --------------------------------- | --------- | | POST /v1/chat/completions | OpenAI Chat Completions | Yes | | POST /v1/responses | OpenAI Responses API | Yes | | POST /v1/messages | Anthropic Messages API | Yes | | POST /v1/embeddings | OpenAI Embeddings | — | | POST /v1/images/generations | OpenAI Images | — | | POST /v1/audio/speech | OpenAI Speech | — | | POST /v1/audio/transcriptions | OpenAI Transcriptions | — | | POST /v1/rerank | Reranking | — | | POST /v1/videos/generations | Video generation | — | | GET /v1/models | OpenAI Models (catalog discovery) | — |

Routes are also served at their bare paths (/chat/completions), so mounting the handler under any prefix just works.

Providers

Alibaba, Anthropic, Anthropic (AWS), AssemblyAI, Azure, Baseten, Amazon Bedrock, Black Forest Labs, ByteDance, Cerebras, Cohere, Deepgram, DeepInfra, DeepSeek, ElevenLabs, fal, Fireworks, Gladia, Google, Google Vertex, Groq, Hugging Face, Hume, Kling AI, LMNT, Luma, Mistral, Moonshot AI, OpenAI, Perplexity, Prodia, Replicate, Together AI, Vercel, Voyage, xAI — plus any number of custom OpenAI-compatible endpoints under any other key in providers (Ollama, LM Studio, vLLM, ...).

Configuration

Drop a gateway.config.ts next to where you run the CLI (or point at one with --config):

import { defineConfig } from '@frogbotai/gateway';

export default defineConfig({
  providers: {
    openai: {},
    anthropic: {},
    ollama: { baseURL: 'http://localhost:11434/v1' },
  },
  upstreamTimeoutMs: 60_000,
  hooks: {
    afterOperation: [
      ({ operation, model, usage }) => {
        console.log(operation, model, usage?.totalTokens);
      },
    ],
  },
});

Other options include enabled_providers / disabled_providers allow/deny lists, a custom catalog for GET /v1/models, basePath, maxBodyBytes, logger, tracing, and tracer.

Embedding

createGateway() returns a WinterCG fetch handler — mount it anywhere:

import { serve } from '@hono/node-server';
import { createGateway } from '@frogbotai/gateway';

const gw = createGateway({
  providers: { openai: {} },
});

serve({ fetch: gw.handler, port: 3939 });

Inside an existing Hono app:

app.mount('/v1', gw.handler);

Or as a Next.js route handler, a Bun/Deno server, or a Cloudflare Worker — anything that speaks (req: Request) => Promise<Response>.

Hooks

Every route runs the same lifecycle: beforeOperation → beforeUpstream → afterUpstream/afterError → afterOperation. Hooks receive the operation name, the canonical provider/model ID, a shared mutable context bag, and (on the way out) aggregated token usage — summed across every round of a tool loop. Use them for auth, rate limiting, cost tracking, or audit logging.

Observability

• Logging — pass any pino-compatible logger (or anything satisfying GatewayLogger), or let the gateway create its console logger
• Tracing — provide an OpenTelemetry Tracer, or use the Node-only @frogbotai/gateway/setup export to bootstrap one; the CLI honors OTEL_EXPORTER_OTLP_ENDPOINT out of the box

Errors

All error responses use OpenAI's envelope:

{
  "error": {
    "message": "...",
    "type": "invalid_request_error",
    "code": "string | null",
    "param": "string | null"
  }
}

Same-provider upstream errors (e.g. an invalid OpenAI key on an OpenAI call) are forwarded verbatim with the upstream HTTP status. Gateway-originated errors follow the same shape with the gateway's own code values. Error helpers are exported from @frogbotai/gateway/errors so embedders can produce matching envelopes.

Part of FrogBot

This package has zero FrogBot dependencies and works great entirely on its own. It's also the exact package FrogBot — the config-first AI agent framework — embeds internally for its ai config block. See Configure AI in FrogBot for that integration.

License

MIT © Colby Gilbert