13 incremental tasks covering structure cleanup, data migration,
shim removal, engine consolidation, and init.py refactoring.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Outlines incremental restructuring to reduce root sprawl from 32 to 21
items, consolidate data dirs into src/ package, remove backward-compat
shims, and clean up repetitive code patterns.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Rewrite .github/workflows/desktop.yml: 2-job pipeline (validate + build-and-release)
with rolling desktop-latest pre-release on push to main and stable desktop-v* releases
- Add UpdateChecker component: checks for updates on startup + every 30 min,
background download with progress bar, one-click relaunch
- Configure Tauri updater: endpoints pointing to desktop-latest release, pubkey placeholder
- Add tauri-plugin-process for relaunch support (Cargo.toml, lib.rs, package.json)
- Add macOS Entitlements.plist for notarization (network + file access, no sandbox)
- Add scripts/bump-desktop-version.sh for atomic version bumps across 3 config files
- Add desktop/README.md with dev setup, auto-update architecture, signing docs
- Update .gitignore for desktop/node_modules, dist, target
- Configure macOS minimumSystemVersion, Windows timestampUrl
- Include all Phase 14-21 work: agent hardening, RBAC, taint tracking, workflows,
skills, knowledge graph, sessions, A2A, MCP templates, WASM sandbox, TUI dashboard,
production tools, CLI expansion, API expansion, learning productionization,
Tauri desktop app, and 10 new channels
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Extend the eval framework to compute per-sample hardware efficiency
metrics when model hardware parameters are provided in TOML config:
- ModelConfig gains param_count_b, active_params_b, gpu_peak_tflops,
gpu_peak_bandwidth_gb_s, num_gpus fields
- RunConfig gains metadata dict, populated by expand_suite() from
model hardware params
- EvalRunner._process_one() computes IPW (Intelligence Per Watt),
IPJ (Intelligence Per Joule), MFU, and MBU per sample
- All telemetry fields (energy, power, GPU util, throughput, MFU, MBU,
IPW, IPJ) written to JSONL output and summary JSON
- RunSummary includes MetricStats (mean/median/min/max/std) for all
telemetry metrics plus total_energy_joules
- GLM-4.7-Flash eval config enriched with A100 SXM hardware params
- 146 eval tests pass (26 new tests for telemetry, efficiency metrics,
metadata flow, MetricStats helpers)
- User guide and API docs updated with new fields and output format
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Rewrites the main docs/index.md to reflect the current five-pillar
structure (Intelligence, Agents, Tools, Engine, Learning) with
accurate descriptions of each. Updates project status to v1.5
Phase 10 complete, seven agent types, 1800+ tests.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The openclaw_protocol, openclaw_transport, openclaw_plugin, and
openclaw_bridge modules are not installed in CI. Replace their
mkdocstrings auto-doc directives with note admonitions linking
to the architecture docs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Reflects the new agent hierarchy (BaseAgent helpers, ToolUsingAgent
intermediate base, NativeReActAgent, NativeOpenHandsAgent, RLMAgent,
OpenHandsAgent SDK) across all architecture, user-guide, extending,
contributing, roadmap, and API reference pages. Removes CustomAgent
references and adds Mermaid diagrams for new agent types.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Tests: GuardrailsEngine.stream() async tests, OpenClawChannelBridge listener_loop
tests, channel CLI command tests, FileReadTool sensitive file blocking, ingest_path
sensitive file filtering, SecurityConfig/ChannelConfig config tests. Documentation:
new user guides, architecture pages, and API references for Security and Channels
modules; updated CLAUDE.md, configuration docs, CLI reference, and mkdocs.yml nav.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Sets up a complete documentation website with 7 navigable sections (Home, Getting
Started, User Guide, Architecture, API Reference, Deployment, Development), light/dark
mode, search, code copy, and Mermaid diagram support. API reference pages use
mkdocstrings to auto-generate docs from source docstrings. GitHub Actions workflow
deploys to GitHub Pages on push to main.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
