Skip to content

About

One endpoint for every LLM vendor. Any SDK, any model, any tool. One Rust binary.

Topics

Resources

Code of conduct

Contributing

Security policy

Stars

156 stars

Watchers

7 watching

Forks

Respan Gateway

The universal adapter for AI.

License: MIT OR Apache-2.0 CI Latest release crates.io PyPI Discord

Respan Gateway is a single Rust binary that sits between your code and every AI API. Point the SDK you already use at it, and it connects you to everything: chat models, images, video and voice from every major provider; tools for any model, from web search and memory to code sandboxes and any MCP server; and traffic control (format translation, fallback, retries and hedged requests), with a live log of every call. ▶ Watch the demo


Your app plugs into Respan Gateway, which connects it to models, voice, image and video, tools, embeddings and self-hosted models, with fallback, hedging, translation, tool loop, PII redaction and tracing built in

Key features

  • Any client, any model
    OpenAI Chat Completions, OpenAI Responses, Anthropic Messages and Gemini API clients can all call any model, with streaming, tools, images and reasoning translated.

  • Multimodal
    Realtime voice across vendors (an OpenAI Realtime client talks to Gemini Live, and back), plus images, speech, transcription, embeddings and video through OpenAI's or Gemini's APIs, to any vendor that has them.

  • MCP tools for every model
    Put MCP servers or built-in tool vendors behind the gateway, from web search to code sandboxes. It runs their tools inside chat requests, so a plain chat call can use them, whatever the client or model.

  • Traffic control
    Named routes, globs and provider/model; fallback, retries, cheapest or fastest; and hedged requests that race a slow call against a second provider.

  • Observability
    A live request log with cost, latency and tokens for every call, and traces in Respan, where span-02 analyzes how your agents behave.

  • Best-in-class performance
    0.07 ms of added latency, 56,000 requests per second and 31 MB of memory in our benchmarks: about 3× the throughput of the next fastest gateway we tested.

  • Write your own plugin in minutes
    Every feature above is a plugin, built on the same public Rust API you can use: one trait with four hooks. Start from the plugin guide or an example such as guardrails, PII masking or billing.

Quickstart

1. Install

pip install respan-gateway

Or cargo install respan-gateway, or a GitHub release.

2. Run it with your keys

export OPENAI_API_KEY=sk-...
respan-gateway

No config file needed: every vendor whose key is set becomes a provider.

3. Call any model from any SDK

from anthropic import Anthropic

client = Anthropic(base_url="http://localhost:8080", api_key="unused")
reply = client.messages.create(
    model="gpt-6-luna", max_tokens=256,
    messages=[{"role": "user", "content": "Hello from the Anthropic SDK"}])
print(reply.content[0].text)

The web UI is at localhost:8080/ui/. Next: configuration and MCP tools.

Other ways to run it

  • Python, in-process — Run the gateway inside your Python app, with no server.
  • Embed in Rust — Mount the gateway in your own Rust service.
  • Docker — Run the image ghcr.io/respanai/respan-gateway on any container host.

Performance

Respan Gateway Bifrost Portkey LiteLLM (1 worker)
Added latency (p50) 0.07 ms 0.16 ms 0.17 ms 4.34 ms
Throughput 56,734/s 18,182/s 4,187/s 268/s
Memory 31 MB 488 MB 350 MB 418 MB
1k streams, success 100% 92–100% — 79%
1k streams, memory 128 MB 688 MB — 493 MB
p99, 5% slow calls 105 ms 2,002 ms 2,003 ms 2,024 ms

Configuration

You don't need a config file to start. When you want more, run respan-gateway init for a commented gateway.toml. One file sets up keys, providers, traffic control, tools and tracing:

client_keys = [{ name = "app", key = "env:APP_KEY" }]   # who may call the gateway

[providers.openai]                      # a built-in vendor: just add a key
vendor = "openai"
key = "env:OPENAI_API_KEY"

[providers.anthropic]
vendor = "anthropic"
key = "env:ANTHROPIC_API_KEY"

[providers.local]                       # any OpenAI-compatible endpoint
formats = ["openai-chat"]
base_url = "http://localhost:8000/v1"

[routes.smart]                          # clients ask for "model": "smart"
to = ["anthropic/claude-haiku-5-5", "openai/gpt-6-luna"]
hedge = "800ms"                         # race the second if the first is slow

[tools.search]                          # web search as MCP tools
vendor = "linkup"
key = "env:LINKUP_API_KEY"

[plugins.tool_loop]                     # every model can use them
servers = ["search"]

[plugins.respan]                        # trace every call in Respan
key = "env:RESPAN_API_KEY"

respan-gateway check validates it, and --watch or SIGHUP reloads it without a restart. Without client keys, the gateway answers only on loopback and refuses to start on a public address.

Reference: configuration · vendors · tool vendors · MCP and tools · gateway.example.toml

Supported API formats

Call the gateway in any format on the left, and it reaches every provider on the right, translating between them.

Your code calls It can reach
Chat OpenAI Chat Completions
OpenAI Responses
Anthropic Messages
Gemini API
OpenAI Anthropic Gemini xAI DeepSeek Mistral Groq OpenRouter Together Ollama
any chat model, whichever of the four formats it speaks
Realtime voice OpenAI Realtime
Gemini Live
OpenAI Gemini Mistral
OpenAI ⇄ Gemini voice; Mistral for transcription
Images OpenAI Images
Gemini Images
OpenAI Gemini xAI Together
Speech, transcription OpenAI Speech
OpenAI Transcriptions
OpenAI Groq
Embeddings OpenAI Embeddings OpenAI Gemini Mistral Together Fireworks Cloudflare Ollama
Video OpenAI Videos
Gemini Veo
Google Veo Google Veo
Decisions Respan Decisions
TypeSafe System One
Respan TypeSafe
Tools MCP MCP your MCP servers and tool vendors
Anything else A vendor's own API Relayed to that vendor untouched

Each vendor's formats are in vendors, and the translation details in each format's README: chat, media, realtime and decisions.

Plugins

Everything the gateway does is a plugin on one public Rust API.

Models · 16 providers and any compatible endpoint, each reachable from any client format. All vendors →

OpenAI  Anthropic  Gemini  xAI  DeepSeek  Mistral  Groq  OpenRouter  Together  Fireworks  Cerebras  Perplexity  Azure  Cloudflare  Ollama  vLLM

Tools · any MCP server, plus built-in tools for search, browsing, code, documents and memory, usable from any model. All tool vendors →

Linkup  Tavily  Browserbase  Apify  TinyFish  E2B  Daytona  Context7  Reducto  Zep  Cloudinary  ElevenLabs

Traffic control · named routes, fallback, retries, hedged requests, and the cheapest or fastest provider.

Observability · a live request log, the cost of every call, and traces in Respan.

Your framework · anything with a base URL. Guides for the OpenAI SDK, Anthropic SDK, Google GenAI, Vercel AI SDK, LangChain, Pydantic AI, Pi, OpenCode and more.

Your own plugin · start from the plugin guide or an example: guardrails, PII masking, billing, an LLM judge.

Built in: routing · tool-loop · mcp-router · pricing · respan · responses · credentials

Community

Contributions are welcome. CONTRIBUTING.md covers the architecture, building and tests, and a new vendor is usually one file. Start with a good first issue, ask in Discussions or Discord, and report security issues as SECURITY.md describes.

Roadmap: what we're building next is in issues. Missing a vendor, format or feature? Ask for it.

Want it managed? Respan runs the gateway for you, with dashboards, evals and span-02.

Contributors

License

Dual-licensed under MIT or Apache-2.0, at your option.

About

One endpoint for every LLM vendor. Any SDK, any model, any tool. One Rust binary.

Topics

Resources

Code of conduct

Contributing

Security policy

Stars

156 stars

Watchers

7 watching

Forks

Releases

Packages

Contributors

Languages