Gambit is an agent harness framework with a CLI + runtime that helps developers build accurate LLM workflows by providing the right context at the right time.
Installing @bolt-foundry/gambit...
Starting local workspace server...
Workspace listening on http://localhost:8000
Feed each tool only the facts it needs. Gambit scopes each workflow step to local context, so you don’t blow up token windows or hallucinate outside the source of truth.
Break assistants into typed workflow steps, each with its own prompt or compute action. Swap models per step and reuse those steps anywhere.
Define schemas once, enforce them at runtime, and ship with CLI and simulator traces baked in. Failures show up as structured logs instead of vague LLM output.
Mix LLM prompts and compute blocks freely. Gambit tracks each step’s label, metadata, and downstream dependencies so you always see how the workflow fits together.
Reference a step anywhere and it keeps its schema + guardrails, so cross-workflow calls stay type-safe.
Use `gambit run`, the simulator UI, or embed the runtime. When you’re ready for production, swap model providers or plug into Bolt Foundry’s managed evals.
Your assistant lives in a single file that enumerates each workflow step (we call it a deck). Run it locally with the CLI, then implement the same .deck in your app when you're ready for production, or join the waitlist to be notified when Bolt Foundry’s hosted platform is available.
$ npx @bolt-foundry/gambit serveGet early access to enhanced AI tooling and structured prompt workflows, and be the first to know when new features ship.