PromptShuttle

About PromptShuttle

PromptShuttle is a drop-in OpenAI-compatible endpoint that runs multi-agent orchestration server-side, so the calling application never contains agent logic. You send an ordinary chat-completions request naming a flow — "research-agent" — and behind that single call the proxy spawns sub-agents, routes each to whichever provider suits it, executes tool calls and returns one finished answer. The company draws the contrast with SDK-based frameworks explicitly: with an SDK, agent logic lives in your code, changing an agent means redeploying your application, and every team builds its own plumbing for providers, retries and cost tracking; here the logic lives in the proxy, changing an agent is a config update, and one deployment serves every team. That shape suits the cases it markets to — platform teams offering AI to internal teams without each one learning a framework, legacy software made agent-capable through webhooks with no rewrite, agencies running isolated multi-tenant configurations per client, and background job runners like Trigger.dev or Temporal calling AI as a service. The dashboard shows the full execution graph per request with sub-agent spawns, tool calls, timing and per-step cost, plus flow analytics and per-tenant budgets. It also exposes its own MCP server at a single URL, so a coding assistant can create flows, edit prompts and query analytics conversationally.

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