What is PromptShuttle and what core problem does it solve for developers?
PromptShuttle is a drop-in OpenAI replacement that orchestrates multi-agent workflows server-side, solving the problem of developers needing to manage complex agent logic in their application code. It allows one API call to spawn sub-agents, route across providers, and return a finished result, keeping the application code simple.
What is PromptShuttle used for and in what situations?
It is used for managing and orchestrating multi-agent AI workflows through a single API endpoint. It is suitable for platform teams offering AI capabilities, legacy software integration via webhooks, agencies managing AI for multiple clients, and background jobs using any job runner.
Who is the target audience for PromptShuttle?
It is designed for platform teams, agencies, developers working with legacy or existing software, and teams that need to manage background jobs. The product aims to serve teams that ship software and need to offer AI capabilities without each team building their own agent framework.
What key features and capabilities does PromptShuttle offer?
PromptShuttle offers multi-agent orchestration via a dashboard, an OpenAI-compatible API, multi-provider routing, cost tracking and budgets, multi-tenant isolation, and agent observability with visualization and per-step cost breakdown.
How does PromptShuttle's approach differ from using an SDK?
Unlike an SDK where agent logic is embedded in your application code, PromptShuttle acts as a proxy where agent logic lives server-side. This means changing agents only requires updating configuration, not redeploying the application, and the proxy handles provider management, retries, and costs.
What is PromptShuttle?
PromptShuttle is an agent orchestration API that provides multi-agent workflows as a drop-in replacement for the OpenAI API, handling orchestration server-side.