Bring your models to Raycast AI

How it works

Raycast keeps a fixed config path, so openllm raycast applies the overlay in place and records exactly what it changed. openllm raycast uninstall reverses only those changes.

Fallback chains when a model is rate-limited

Define an ordered chain per model alias. When a hop returns a rate limit, an overload or a provider error, the request moves to the next hop instead of failing your session.

• ▸Chains are configured once and shared by every client and device
• ▸Each hop resolves its own model settings, so a fallback never inherits the wrong parameters
• ▸Every hop that ran is visible in your request history

Code search and memory over MCP

The same binary ships one MCP server: semantic search over your indexed repositories and documentation, plus memory that persists across sessions and clients.

See where the tokens go

Requests, tokens, latency and API-equivalent cost per model and provider, with charts you can export or share.