4 Commits

Author	SHA1	Message	Date
Will Miao	905c37290f	chore: update runtime logs to use 'LLM enrichment' instead of 'Agent skill' ... - agent_handlers.py: 'Agent skill' -> 'LLM enrichment' in all log messages - skill_registry.py: 'agent skills' -> 'prompt-based skills' in discovery log - llm_service.py: docstring 'agent skills' -> 'LLM-based enrichment features'	2026-07-04 16:53:41 +08:00
Will Miao	646f1ddfb1	refactor(agent): align 'Agent' naming to 'AI/LLM' to match current implementation ... - locales/en.json: 'Enrich Metadata (Agent)' -> 'Enrich Metadata (AI)' - Rename SKILL.md -> prompt.md with backward compat in skill_registry.py - JS context menu action IDs: enrich-hf-agent -> enrich-hf-llm - HTML template data-action attributes synced to match - docstring cleanup: 'agent skill' -> 'skill pipeline' / 'feature'	2026-07-04 14:06:50 +08:00
Will Miao	63785f82b5	refactor(agent): consolidate skill definition into single SKILL.md with YAML frontmatter ... Merge skill.yaml (metadata) and prompt.md (prompt template) into a single SKILL.md file with YAML frontmatter, matching the agent-skill convention used by opencode and Claude Code. - Add frontmatter parser (_parse_skill_file) to SkillRegistry - Remove skill.yaml, prompt.md, empty skills/__init__.py - Remove obsolete load_handler method - Update tests for new format and cleaned-up fields	2026-07-02 21:29:02 +08:00
Will Miao	cf898da193	feat(agent): add LLM-powered metadata enrichment system with AgentCLI and PostProcessor ... Introduce an agent skill framework for LLM-driven metadata enrichment: - AgentCLI (py/agent_cli/): in-process wrappers around internal services using standard relative imports, eliminating the need for sys.path hacks - LLMService: centralized BYOK (bring-your-own-key) LLM client supporting OpenAI, Ollama, and custom OpenAI-compatible endpoints - PostProcessor: deterministic engine that applies LLM output via AgentCLI (replaces old handler.py + _BASE_MODEL_ALIASES approach) - SkillRegistry: filesystem-based skill discovery (skill.yaml + prompt.md) - AgentService: orchestrates skill execution with WebSocket progress - Frontend AgentManager: WebSocket listeners, skill execution, config UI - Context menu entries (single + bulk) for "Enrich Metadata (Agent)" - Settings UI for AI Provider configuration (BYOK) - Full i18n support across 9 locales Bug fixes found during review: - aiohttp.web.json_response: status_code= -> status= - settings_modal cancelEditApiKey: wrong argument position - AgentManager.isLlmConfigured: allow Ollama without API key - PostProcessor._merge_tags: lowercase all tags to match TagUpdateService	2026-07-02 21:27:01 +08:00