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kaizen-agentic/docs/TELEMETRY.md
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WP-0001: feedback channels, CI, pre-commit, telemetry docs
Add kaizen-agentic feedback CLI, Gitea issue templates, CI workflow,
pre-commit hooks, FEEDBACK/TELEMETRY docs, and cross-platform path tests.
Improve CLI registry error messages; remove agents_backup scaffolding.
Apply black formatting across src/tests for CI consistency.

State Hub message sent to agentic-resources for Helix correlation doc link.
2026-06-16 01:58:07 +02:00

1.8 KiB

Telemetry and Agent Effectiveness Tracking

WP-0001 T04 design — aligned with ADR-004 and WP-0004 ecosystem integration.

Two layers (do not merge)

Layer Question Mechanism
Project How is agent X performing in this repo? kaizen-agentic metrics record.kaizen/metrics/
Fleet How are coding sessions performing across repos? agentic-resources Helix Forge

kaizen-agentic does not ship a parallel session transcript ingestion pipeline.

Project telemetry (implemented)

Memory-enabled agents record per-session outcomes at close:

kaizen-agentic metrics record <agent> --success --time <s> --quality <0-1>
kaizen-agentic metrics optimize [agent]
kaizen-agentic memory brief <agent>    # includes Performance Summary

Optional fleet correlation via HELIX_SESSION_UID (see integrations/helix-forge-correlation.md).

Fleet telemetry (agentic-resources)

Helix Forge owns session capture, digest storage, baselines, and weekly retro. kaizen-agentic consumes correlation fields only.

CLI install / usage analytics (future)

Potential v1.1 additions (not yet implemented):

  • Opt-in anonymous counters on install / memory init (no PII, no project paths)
  • Aggregate effectiveness reports via metrics list across a monorepo checkout

tele-mcp evaluation (deferred)

tele-mcp is a candidate MCP adapter for IDE-level telemetry (WP-0001 note). Assess before depending on it. Project and fleet layers above satisfy INTENT's "measurable agents" requirement without tele-mcp.

Feedback loop

User experience feedback uses FEEDBACK.md and Gitea issue templates — separate from execution metrics.