3 Commits

Include renames

Author	SHA1	Message	Date
showtan001	050d1329c4	Add local host mode and configurable LLM providers	2026-08-24 08:49:18 +08:00
q792602257	a5aeb8889c	feat(runtime): add planner reflection history with rationale and thinking ... - ToolCallDecision captures thinking blocks and pre-tool text output - AnthropicToolCallingClient supports optional extended thinking (budget_tokens + beta header) - PlannedStep carries rationale and thinking from each LLM decision - WorldEvent replaces scene_summary with rationale/thinking/page fields (backward-compatible) - AI planner system prompt instructs reflection before each tool call - _history_summary() emits compact {page, rationale, action, success} dicts - Cloud DB migration 0011 adds nullable rationale/thinking columns to planner_decision_log - OpenAI client extracts reasoning_content into thinking field	2026-07-15 12:43:22 +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