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[rig-summarizer] Daily file summary — 2026-10-14

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Bewertung

Schwierigkeit
2/5
Geschätzter Aufwand
Unter einer Stunde
Anfängerfreundlichkeit
12/100
Issue-Typ
Dokumentation
Klarheit
Muss geklärt werden
Aktivitätsstatus
Aktiv
Tech-Stack
typescript
Bereich
ai-infra-agents, devtools

Rechercherichtung

This is an automated daily summary of the repo's TypeScript files, and it asks for no change. The files it lists (rig.ts, the engines/ adapters, and the .github/fixtures/ three-judge workflow) are context only. Nothing here defines a done state, so a newcomer should pick a different issue that names a specific change.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Beschreibung

ai-agent automation
Global Summary

This project is Rig, a minimal TypeScript agent harness. The core runtime (rig.ts) provides typed schemas, prompt intents, sub-agent delegation, and a Copilot SDK runtime. Alternative engines (Anthropic, Codex, DeepSeek, Gemini, Pi) sit alongside it. Launcher and run helpers, CI drivers and fixtures that run a three-judge provider check, and integration tests complete the repo. Only the first 20 .ts files were listed.

Individual File Summaries
File Summary
./.agents/skills/rig/engines/anthropic.ts Engine adapter that runs Rig agents on the Anthropic SDK, with JSON-schema output and tool support.
./.agents/skills/rig/engines/codex.ts Engine adapter for the OpenAI Codex SDK, using thread options and normalized response schemas.
./.agents/skills/rig/engines/deepseek.ts Engine adapter for the DeepSeek harness SDK client.
./.agents/skills/rig/engines/gemini.ts Engine adapter that spawns the Gemini CLI as a subprocess to run agent turns.
./.agents/skills/rig/engines/pi.ts Engine adapter built on the Pi agent core and AI libraries, wrapping Rig tools as Pi tools.
./.agents/skills/rig/engines/utils.ts Shared engine helpers: an agent lifecycle with abort and no-concurrent-turns handling, plus tool schema and result utilities.
./.agents/skills/rig/globals.ts Ambient workflow helpers (call, pipeline, parallel) 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 process.
./.agents/skills/rig/rig.ts Core Rig runtime (about 3,500 lines): schemas, prompt intents, agents, workflows, and the Copilot SDK runtime and launcher CLI.
./.agents/skills/rig/run.ts Small entry point that runs the installed skill's launcher CLI.
./.github/drivers/codex-fixture-mcp.ts Driver that serves the three-judge fixture over a local MCP HTTP server for Codex.
./.github/drivers/copilot-sdk-driver.ts Driver that sets up a Copilot SDK session with the Rig launch tool for CI runs.
./.github/drivers/pi-rig-extension.ts Pi extension that exposes a Rig fixture tool and validates its output.
./.github/fixtures/assert-three-judges.ts Assertions that validate the three-judge fixture result for a given engine.
./.github/fixtures/pi-gateway.ts Loads and validates the Pi aw-gateway provider configuration.
./.github/fixtures/provider-fixture.ts Builds the provider-specific three-judge fixture from environment config for the Codex, DeepSeek, Gemini, and Pi engines.
./.github/fixtures/provider-three-judges.ts Default export that creates the provider fixture.
./.github/fixtures/three-judges.ts Defines the three-judge Rig workflow, which judges a dummy request on clarity, safety, and feasibility.
./scripts/haiku.integration.test.ts Integration tests that run the haiku, sonnet, and complex samples through the launcher when credentials exist.
./scripts/rig-launch-tool.integration.test.ts Live integration test that runs the three-judge fixture via a harness-owned launch tool, gated by an env flag.

Generated by Daily Rig File Summarizer · copilot · auto · 14.6 AIC · ⌖ 0.505 AIC · ⊞ 7.5K · ◷

  • expires on Oct 21, 2026, 2:36 PM UTC
Vorherrschende Sprache
TypeScript
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3 Std. 38 Min.
Gemergte PRs (30 T.)
29

Entwicklungsumgebung

Dieses Projekt bietet weder Dev-Container noch Dockerfile noch Beitragsleitfaden – die Einrichtung liegt bei Ihnen. Beginnen Sie mit der README; die allgemeinen Schritte stehen in unserem Leitfaden für den ersten Beitrag.

Erste Schritte

  1. Lesen Sie das ganze Issue und danach den Beitragsleitfaden des Projekts.
  2. Schreiben Sie ins Issue, dass Sie es übernehmen — das erspart doppelte Arbeit.
  3. Forken Sie das Repository und arbeiten Sie in einem Branch.
  4. Öffnen Sie einen Pull Request, der die Issue-Nummer nennt.

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