Requesty

Auto Routing is live in beta on Requesty. "Just pick the right model for each prompt" is the feature customers keep asking us for. It's also harder than it sounds. Two prompts can look identical and hide ten times the work. What's routine for one team is hard for another. And switching models mid-conversation throws away the prompt cache, usually the biggest lever on an agent's bill. So we didn't build a router that guesses. You describe the kinds of work you get, in plain words, and point each one at a model or an existing policy. A small decision model reads the first message, picks the route and pins it for the session. If it isn't confident, it falls back to the model you trust most. Your request is never blocked. Your work, your rules, the right model. Give it a try at: https://lnkd.in/eq58YVH7

Client work, internal tools, experiments: they all burn Claude Code tokens. With Requesty you can tell which is which, with cost views per developer, repository and branch.

"Does any of this leave the EU?" is now a standard question in client security reviews. Answer it with settings: Requesty's EU endpoint, an EU-only approved model list and an org-wide EU serving region work together for EU processing and EU inference.

Your app shouldn’t go down because one LLM provider does. Build for resilience with Requesty.

Your client's AI feature shouldn't go down because one model provider did. Requesty fallback policies reroute failed requests to the backup models you choose for each app.

Stop rewriting provider integrations for every client. One endpoint (router.requesty.ai/v1), one SDK, and models from OpenAI, Anthropic, Google, Mistral, DeepSeek and more, each addressed as provider/model.