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[rig-summarizer] Daily file summary — 2026-10-19

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Valutazione

Difficoltà
1/5
Tempo stimato
Meno di un'ora
Idoneità per principianti
1/100
Tipo di issue
Documentazione
Chiarezza
Da chiarire
Stato di attività
Attiva
Stack tecnologico
typescript
Ambito
documentation

Direzione di ricerca

This is an automatically generated daily file summary, not a request for a change. No target files, tests, or completion criteria are identified; first determine whether there is an actionable issue to address. The payload provides no specific work or definition of done.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

ai-agent automation
Global Summary

Rig is a minimal TypeScript agent harness. The core runtime (rig.ts) provides typed agents, prompt intents and a Copilot SDK runtime. Pluggable engines (Anthropic, Codex, DeepSeek, Gemini, Pi) share lifecycle helpers. A launcher and a launch tool run rig programs. The .github drivers and fixtures support a three-judge provider integration test, and the scripts directory holds live integration tests.

Note: this summary was produced directly from the first 20 .ts files, sorted alphabetically (the sub-agent runner was not used), so it is based on file headers and imports only.

Individual File Summaries
File Summary
./.agents/skills/rig/engines/anthropic.ts Anthropic engine for rig. It uses the Anthropic SDK with JSON-schema output and tool helpers.
./.agents/skills/rig/engines/codex.ts Codex engine factory built on @openai/codex-sdk, with optional thread options.
./.agents/skills/rig/engines/deepseek.ts DeepSeek engine factory wrapping DeepSeekHarness.
./.agents/skills/rig/engines/gemini.ts Gemini engine that spawns the Gemini CLI process, with configurable command, args, env and approval mode.
./.agents/skills/rig/engines/pi.ts Pi engine wrapping the Pi agent core and AI models, with tool support.
./.agents/skills/rig/engines/utils.ts Shared engine helpers: agentLifecycle (abort handling, rejects concurrent turns), objectToolSchema and toolResultText.
./.agents/skills/rig/globals.ts Ambient call, pipeline and parallel helpers that delegate to the active workflow run.
./.agents/skills/rig/launch-tool.ts Creates a Copilot SDK tool that launches rig programs through the launcher, with a timeout and URI/token validation.
./.agents/skills/rig/rig.ts Core runtime (~3.4k lines) with schemas (s.*), prompt intents (p.*), agents, addons, workflows, the Copilot SDK engine and the launcher CLI.
./.agents/skills/rig/run.ts Entry point for the installed skill; it dynamically imports rig.ts and runs the launcher CLI.
./.github/drivers/codex-fixture-mcp.ts Codex driver that serves the three-judge fixture launcher over a local HTTP MCP server.
./.github/drivers/copilot-sdk-driver.ts Copilot SDK driver that reads configuration from the environment and exposes the rig launch tool.
./.github/drivers/pi-rig-extension.ts Pi extension that provides a rig tool running the three-judge fixture and asserting its result.
./.github/fixtures/assert-three-judges.ts Asserts that the three-judge result has the right engine, model and judgments.
./.github/fixtures/pi-gateway.ts Loads and validates the Pi aw-gateway provider configuration with OpenAI-compatible APIs.
./.github/fixtures/provider-fixture.ts Selects the Codex, DeepSeek, Gemini or Pi engine from RIG_JUDGE_ENGINE and builds the three-judge fixture.
./.github/fixtures/provider-three-judges.ts Default export of the provider fixture.
./.github/fixtures/three-judges.ts Defines the three-judge workflow (clarity, safety, feasibility) over a dummy request.
./scripts/haiku.integration.test.ts Live integration tests running the haiku, sonnet and complex samples through the launcher when a token or SDK URI is set.
./scripts/rig-launch-tool.integration.test.ts Opt-in live test (RIG_TOOL_INTEGRATION=1) running the three-judge fixture through the harness-owned launch tool.

Generated by Daily Rig File Summarizer · copilot · auto · 14.9 AIC · ⌖ 0.52 AIC · ⊞ 7.6K · ◷

  • expires on Oct 26, 2026, 2:36 PM UTC
Lingua principale
TypeScript
Stelle
14
Fork
0
Merge medio
9h 49m
PR unite (30g)
32

Preparare l'ambiente

Questo progetto non fornisce container di sviluppo, Dockerfile né guida per i contributori, quindi l'ambiente è a tuo carico: parti dal suo README e consulta la nostra guida al primo contributo per i passaggi generali.

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

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