5 Commits

Include renames

Author	SHA1	Message	Date
q792602257	77d4813bb2	feat(host-agent): make execution history authoritative	2026-07-15 11:46:27 +08:00
q792602257andClaude Opus 4.6	e00c50e703	feat(api): server-rendered Jinja2 Runtime console at /ui/ ... Replaces the separate Vue/Vite `console/` SPA with a same-origin, server-rendered console built on a module-level Jinja2 Environment with select_autoescape(["html","xml"]). - Add api/console_web.py with /ui/ routes (dashboard, tasks, task detail/timeline, config) and a _status_fragment polled every 10s. - Refactor api/console.py into a typed ConsoleService shared by the JSON and HTML routers so validation/persistence cannot drift. - Remove RUNTIME_CONSOLE_STATIC_DIR, SpaStaticFiles, and the wildcard CORS middleware from api/rest.py; GET / now redirects to /ui/. - Delete the top-level console/ project; add jinja2 and python-multipart as direct dependencies and ship templates/CSS/JS via package-data. - Add 31 tests (XSS probes, PRG flows, fragment refresh, no-static-dir and no-CORS regressions, wheel-packaging smoke test). /console/* JSON endpoints remain unchanged. The console keeps the trusted-network-only boundary; auth/CSRF is intentionally deferred. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-07-15 08:03:13 +08:00
q792602257	c94b3efe87	docs(workspace): record packaging boundary	2026-07-12 14:29:55 +08:00
q792602257andClaude Sonnet 5	61ff3b425d	feat(agent-runtime): add LLM-driven AI Planner with dual-provider tool calling ... Replaces the stub Planner's fixed describe_screen/[] behavior with a real decision-maker: AIPlanner uses native tool/function calling (Anthropic or OpenAI, pluggable via AI_PLANNER_PROVIDER) to select exactly one grounded action per turn, with an explicit finish_task(success, reason) tool for completion/failure instead of an ambiguous "no tool call" signal. Default disabled (AI_PLANNER_ENABLED=false) and additive; TaskRunner falls back to the existing stub Planner unchanged when disabled. Amends CONSTITUTION.md's Perception Boundary with one narrow exception: only the AI Planner may receive the current step's raw screenshot bytes alongside Scene, for vision-grounded coordinate grounding. Also fixes a latent gap in TaskRunner.run(): observe/plan exceptions are now caught per iteration and turned into a failed task with a failure_reason, instead of propagating uncaught. openspec change: ai-planner-runtime. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>	2026-07-12 13:48:50 +08:00
q792602257	5658735bca	feat: checkpoint device agent runtime milestones	2026-07-06 17:24:03 +08:00