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…ers, run status, structured alerts
Adds agent-facing query APIs and tooling to make Trackio the definitive tracker
for autonomous ML experiments driven by AI coding agents.
New CLI commands:
- `trackio best` — rank runs by metric, return winner + leaderboard
- `trackio compare` — side-by-side run comparison across metrics
- `trackio summary` — full experiment overview with status/configs/metrics
New features:
- Run status tracking (running/finished/failed) with automatic lifecycle mgmt
- Structured alert data (`data={}` param on `trackio.alert()`)
- Metric watchers (`trackio.watch()`) for auto NaN/spike/stagnation detection
- `trackio.should_stop()` for training loop early stopping
- Python API: `run.metrics()`, `run.history()`, `run.summary`, `run.status`
Test infrastructure:
- Synthetic training simulator (no ML deps, runs in seconds)
- Agent test runner with 5 experiment types
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Resolve merge conflicts integrating autonomous ML features with main branch changes (run_id support, RemoteClient, query command, OAuth, error handling). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Contributor
🪼 branch checks and previews
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Contributor
🦄 change detectedThis Pull Request includes changes to the following packages.
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🪼 branch checks and previews
Install Trackio from this PR (includes built frontend) pip install "https://huggingface.co/buckets/trackio/trackio-wheels/resolve/2283983183942ecd90479c36298cb09d951f0348/trackio-0.24.0-py3-none-any.whl" |
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
Fixes:
- Fix 1: Run status "failed" no longer overwritten by "finished" —
finish() now accepts a status parameter, _cleanup_current_run passes
status="failed" directly
- Fix 2: Watcher patience supports both min and max mode via new
mode parameter (was hardcoded to minimization only)
- Fix 3: Replace dead --minimize/--maximize flags with --direction
{min,max} on trackio best
- Fix 5: Watcher _values now uses deque(maxlen=window) to bound memory;
alert dedup via per-condition flags that reset on return to normal
- Fix 6: Warn if watchers exist when init() clears them; docstring
documents ordering requirement
- Fix 7: Drop Api.Run.summary cache — recompute on each access
- Fix 9: set_run_status/get_run_status now accept and use run_id,
INSERT handles run_id NOT NULL column in new schema
- Fix 12: Remove unused enumerate variable in agent_runner
Tests:
- test_watchers.py: 18 tests covering nan, spike, max/min threshold,
dedup, patience min/max mode, window bounds, manager propagation
- test_run_status.py: 6 tests covering running→finished, failed status,
idempotent finish, Api.Run.status, multi-run status
- test_cli_agent_commands.py: 10 tests covering best/compare/summary
in JSON and human-readable modes, error cases
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
trackio best,trackio compare,trackio summary— collapse multi-step agent workflows into single calls with--jsonoutputrunning/finished/failed, exposed via CLI and Python APItrackio.alert(data={...})for machine-readable payloads agents can parse without text extractiontrackio.watch()+trackio.should_stop()for automatic NaN/spike/stagnation/threshold detectionrun.metrics(),run.history(),run.summary,run.statusonApi.RunTest plan
ruff checkandruff formatpass cleantrackio best,trackio compare,trackio summarywith JSON and human-readable outputshould_stop()🤖 Generated with Claude Code