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See why your AI coding agents fail, stall, or burn budget — local-first telemetry for Claude, Copilot, Gemini, and Cursor

Project description

reflect

PyPI Python License CI

See why your AI coding agents fail, stall, or burn budget.

Local-first telemetry for Claude Code, GitHub Copilot, Gemini CLI, and Cursor. One install, real insight, no cloud required.

Quickstart

pipx install o11y-reflect
reflect setup
# use your AI tool normally, then:
reflect

That's it. reflect setup installs hooks, wires your agents, and starts capturing telemetry to ~/.reflect/state/. reflect renders an interactive terminal dashboard.

No telemetry yet? Try the demo:

reflect --demo

What you get

  • Token economy — input, output, cache hits, largest-session concentration
  • Tool efficiency — failure rates, latency percentiles (p50/p90/p95/p99), tool-to-prompt ratio
  • Agent comparison — side-by-side across Claude, Copilot, Gemini, Cursor
  • Model breakdown — which models you're actually using and how much
  • MCP server tracking — usage counts and availability gaps
  • Subagent patterns — delegation frequency and types
  • Activity heatmaps — by hour and day of week
  • Actionable recommendations — based on your actual usage patterns

Output modes

reflect                        # interactive terminal dashboard (default)
reflect --no-terminal          # markdown report
reflect --dashboard-artifact out.json  # JSON for hosted dashboards
reflect --publish              # open hosted dashboard in browser
reflect --demo                 # instant demo with sample data

Health check

reflect doctor
reflect update

reflect doctor includes an update advisor for package drift, live pipx drift, skill-copy drift, and hook wiring drift. reflect update --apply upgrades the pipx package when a newer release is available.

Supported agents

Agent Path Confidence
Claude Code Native logs + hooks High
GitHub Copilot CLI Native OTel + hooks High
VS Code Copilot Native OTel High
Gemini CLI Native OTel + hooks High
Codex Native OTel + hooks Medium
Cursor Session/log adapters Medium
OpenCode Hooks/plugin Medium

When hook spans and OTLP traces are absent, reflect falls back to rich local session stores:

  • Cursor: ~/.cursor/projects/**/agent-transcripts/**/*.jsonl
  • Copilot: ~/.copilot/session-state/*/events.jsonl
  • Claude Code: ~/.claude/projects/**/*.jsonl
  • Gemini: ~/.gemini/tmp/**/chats/session-*.json

Advanced usage

Direct OTLP traces

If you already have OTLP JSON traces from a collector, skip setup:

reflect --otlp-traces path/to/otel-traces.json

A sibling otel-logs.json file is used automatically for enrichment when present.

Hosted dashboard

Write a JSON artifact for GitHub Pages or a local server:

reflect --dashboard-artifact docs/reports/latest.json --publish

For a safe public example, this repo also ships a curated GitHub Pages demo:

  • https://reflect.o11y.dev/showcase.html
  • direct dashboard view: https://reflect.o11y.dev/demo.html

All options

reflect [OPTIONS] [COMMAND]

Options:
  --sessions-dir PATH          Session metadata JSON directory
  --spans-dir PATH             Local span JSONL directory
  --otlp-traces PATH           OTLP JSON traces file
  --output PATH                Markdown report output path
  --terminal / --no-terminal   Terminal dashboard (default) or markdown report
  --dashboard-artifact PATH    Write dashboard JSON artifact
  --publish                    Open dashboard in browser
  --demo                       Run with bundled sample data
  --help                       Show help

Commands:
  setup    Install hooks, wire agents, configure telemetry
  doctor   Check installation health and agent status
  update   Check release drift and optional package upgrade

Data flow

reflect setup
    ├── installs opentelemetry-hooks
    ├── wires agent configs (Claude, Copilot, Gemini)
    ├── distributes skill packages
    └── enables local span export to ~/.reflect/state/

Your AI tool → hooks capture spans → ~/.reflect/state/

reflect → reads traces → terminal dashboard / report / hosted view

Skill package

reflect ships with a portable skill at skills/reflect/SKILL.md for Claude Code. After reflect setup, the /reflect skill is available in your AI tool for in-session telemetry analysis.

Analysis schema

See docs/ai-observability-schema.md for the canonical cross-tool analysis schema.

Part of o11y.dev

reflect is the entry point to the o11y.dev ecosystem:

License

Apache-2.0

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