mirror of https://github.com/google-gemini/gemini-cli.git synced 2026-05-14 22:02:59 -07:00

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gemini-cli[bot] a16f1067bb fix(bot): transition metrics to stable 7-day windows and stabilize build

This PR implements surgical fixes for identified issues in the repository metrics and build stability:

1. **Stable Metrics Windows**: Transitioned `throughput.ts`, `latency.ts`, and `user_touches.ts` from an unstable `last: 100` items window to a fixed 7-day search window. This resolves the "mathematically impossible" deltas identified in the bot's memory caused by bursty activity.
2. **Build Stabilization**:
    - Upgraded `packages/test-utils/tsconfig.json` to `ES2023` to match the rest of the workspace and support modern features like `Object.hasOwn` and `Intl.Segmenter`.
    - Added local `ErrorOptions` definitions in `a2a-errors.ts` and `fetch.ts` to support the `cause` property in `Error` constructors.
    - Fixed an `err: unknown` type check issue in `packages/cli/index.ts`.

These changes ensure that the repository metrics are reliable and that the project build is stable for contributors.

cc @gundermanc

Labels: bot-fix

2026-05-13 04:53:58 +00:00

.gemini

Incremental refactor repo agent towards skills-based composition (#26717 )

2026-05-12 20:37:09 +00:00

brain

Incremental refactor repo agent towards skills-based composition (#26717 )

2026-05-12 20:37:09 +00:00

history

Implement bot that performs time-series metric analysis and suggests repo management improvements (#25945 )

2026-04-28 16:49:53 +00:00

metrics

fix(bot): transition metrics to stable 7-day windows and stabilize build

2026-05-13 04:53:58 +00:00

ci-policy.toml

Incremental refactor repo agent towards skills-based composition (#26717 )

2026-05-12 20:37:09 +00:00

README.md

Implement bot that performs time-series metric analysis and suggests repo management improvements (#25945 )

2026-04-28 16:49:53 +00:00

README.md

Gemini CLI Bot (Cognitive Repository)

This directory contains the foundational architecture for the gemini-cli-bot, transforming the repository into a proactive, evolutionary system.

It implements a dual-layer approach to balance immediate responsiveness with long-term strategic optimization.

Layered Execution Model

1. System 1: The Pulse (Reflex Layer)

Purpose: High-frequency, deterministic maintenance.
Frequency: 30-minute cron (.github/workflows/gemini-cli-bot-pulse.yml).
Implementation: Pure TypeScript/JavaScript scripts.
Classification: Optionally utilizes Gemini CLI for high-confidence semantic classification (e.g., triage, labeling, sentiment) while preferring deterministic logic for equivalent tasks.
Phases:
- Reflex Execution: Runs triage, routing, and automated maintenance scripts in reflexes/scripts/.
Output: Real-time action execution.

2. System 2: The Brain (Reasoning Layer)

Purpose: Strategic investigation, policy refinement, and proactive self-optimization.
Frequency: 24-hour cron (.github/workflows/gemini-cli-bot-brain.yml).
Implementation: Agentic Gemini CLI phases.
Phases:
- Metrics Collection: Executes scripts in metrics/scripts/ to track repository health (Open issues, PR latency, throughput, etc.).
- Phase 1: Reasoning (Metrics & Root-Cause Analysis): Analyzes time-series metric trends and repository state to identify bottlenecks or productivity gaps, tests hypotheses, and proposes script or configuration changes to improve repository health and maintainability.
- Phase 2: Critique: A technical and logical validation layer that reviews proposed changes for robustness, actor-awareness, and anti-spam protocols.
- Phase 3: Publish: Automatically promotes approved changes to Pull Requests, handles branch management, and responds to maintainer feedback.

Directory Structure

metrics/: Deterministic runner (index.ts) and scripts for tracking repository metrics via GitHub CLI.
reflexes/scripts/: Deterministic triage and routing scripts executed by the Pulse.
brain/: Prompt templates and logic for strategic root-cause analysis (Phase 1: metrics.md) and technical validation (Phase 2: critique.md).
history/: Persistent storage for time-series metrics artifacts.
lessons-learned.md: The bot's structured memory, containing the Task Ledger, Hypothesis Ledger, and Decision Log.

Usage

Local Metrics Collection

To manually collect repository metrics locally, run the following command from the workspace root:

npx tsx tools/gemini-cli-bot/metrics/index.ts

This will execute all scripts within metrics/scripts/ and output the results to tools/gemini-cli-bot/history/metrics-before.csv.

Development

When modifying the bot's logic:

Reflexes: Add or update scripts in reflexes/scripts/.
Reasoning: Update the prompts in brain/ to refine how the bot identifies bottlenecks.
Critique: Update the prompts in critique/ to strengthen the validation of proposed changes.