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@looprun-ai/vercel

v0.4.0

Published

looprun on the Vercel AI SDK — RESERVED (not implemented). The backend seam contract lives in @looprun-ai/core; @looprun-ai/mastra is the v0 backend.

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Links

Git

Maintainers

marcosluizfpmarcosluizfp

Keywords

aiagentsllmgovernanceguardrailsagentspecvercelai-sdk

Readme

@looprun-ai/vercel — reserved

The Vercel AI SDK backend for looprun is not implemented yet; the v0 backend is @looprun-ai/mastra.

The backend seam contract

A looprun backend is thin by design — every deterministic mechanic lives framework-free in @looprun-ai/core (runtime/). A new backend implements exactly three glue points:

  1. Tool wiring with a pre-call veto — before a tool executes, run evaluatePreTool(spec, ledger, world, tool, args); on deny, short-circuit the call and hand the model the correction as the tool result (the model retries within the same generation). After execution, feed recordToolResult. On the Vercel AI SDK this maps to wrapping tool.execute or using prepareStep.
  2. A generate loop honoring the terminal protocol — toolChoice: 'required', a stop condition when a terminal tool (isTerminal) is called, and the forced-terminal fallback (forcedTerminalPrompt) when the model ends without one.
  3. Reply finalization — finalizeReply(spec, theme, world, ledger, text, redrive, redrives) with redrive = one bounded NO-TOOLS text re-generation. Never a framework retry that re-runs the whole generation (it re-executes side-effecting tools; measured ~100× slower).