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

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Evaluación

Dificultad
2/5
Tiempo estimado
Menos de una hora
Aptitud para principiantes
12/100
Tipo de issue
Documentación
Claridad
Necesita aclaración
Estado de actividad
Activo
Stack tecnológico
typescript

Línea de trabajo

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.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

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
Lenguaje dominante
TypeScript
Estrellas
14
Forks
0
Merge medio
3 h 38 min
PR fusionados (30 d)
29

Preparar el entorno

Este proyecto no incluye contenedor de desarrollo, Dockerfile ni guía de contribución, así que la configuración corre por tu cuenta: empieza por su README y consulta nuestra guía para la primera contribución para los pasos generales.

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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