mirror of https://github.com/google-gemini/gemini-cli.git synced 2026-05-15 14:23:02 -07:00

Files

T

gemini-cli[bot] 17aec810ca chore: restore missing metrics and CI optimizations

This PR restores critical fixes for repository metrics and CI cost optimizations that were identified as missing from the filesystem despite being marked as completed in previous tasks.

### Changes:
- **Metrics Accuracy**: Re-implemented 7-day fixed window and search-based sampling in `throughput.ts`, `latency.ts`, and `user_touches.ts` to resolve reporting anomalies during batch operations.
- **Spend Tracking**: Implemented pagination in `actions_spend.ts` to ensure all workflow runs within the 7-day window are captured, avoiding undercounting.
- **CI Cost Optimization**: Replaced all instances of `macos-latest-large` with standard `macos-latest` runners in `ci.yml`, `chained_e2e.yml`, and `deflake.yml`.
- **Matrix Reduction**: Reduced the Mac test matrix in `ci.yml` to Node 20.x only, significantly reducing redundant compute spend.
- **Task Ledger**: Updated `lessons-learned.md` to document the logic divergence and its resolution (BT-63).

These changes ensure the repository metrics are reliable and that CI costs remain under control.

2026-05-12 16:30:21 +00:00

brain

feat(bot): add actions spend metric script (#26463 )

2026-05-04 21:01:39 +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

chore: restore missing metrics and CI optimizations

2026-05-12 16:30:21 +00:00

ci-policy.toml

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

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