The selfInputCh previously treated ALL internal messages as memory
consolidation tasks (hardcoded _consolidation_ output channel), which
silently discarded child-agent completion notifications:
- processConsolidation never appends to conversation context, so the
parent agent could not see that its child had finished
- it also discards the LLM response without emitting to any output
channel, so nothing reached the user
- net effect: notifications vanished; parent never called child_result
Restore the intended design: each self-input message now carries a
target output channel. Only consolidation tasks (_consolidation_) go
through the no-memory path (no context write, no emit). Child
notifications carry the parent's original output channel and are
processed as normal input: appended to context, LLM sees them and can
call child_result, and the response is emitted back to the user.
Changes:
- new selfInputMsg{text, channel} type + channelConsolidation const
- selfInputCh: chan string -> chan selfInputMsg
- injectSelf (consolidation) keeps _consolidation_; new
injectSelfChannel for flagged messages
- handleSelfInput routes on msg.channel instead of hardcoding
- executeSpawnChild captures a.currentOutputChannel and passes it to
runChildTask so the notification returns to the originating channel
(falls back to "cli" when unset or consolidation)
- executeChildResultTool: remove dead double-lock/re-check block
Verified end-to-end with tmux PTY against llmsproxy:
spawn_child -> child done -> notification processed via normal path
(log shows 'input from system -> response, tools=[child_result]'),
parent agent retrieved the child result successfully.
- Drop skill.NewManager from homed bootstrap; skills dir no longer core-managed
- Remove GetInjectedPrompt system-prompt injection (skills are not first-class)
- Delete internal/skill package, SkillAPI, webui /api/v1/skills, status skills block
- ConfigRegistry: plugin config tables now created only via RegisterDef; arbitrary
scope Set/Get no longer implicitly creates config_<name> tables (fixes stray
config_today_task table from SKILL directory name being used as a scope)
- Redesign output_send__ tools: content JSON string -> structured
payload/meta/type params for LLM reliability
- executeOutputSendTool: route by type with capability check
- executeOutputSendHelp: show meta format + type enum
- Updated system prompt rules for new interface
- docToTriples: use jieba exact mode adjacent co-occurrence
- Unify vector space: Doc.Vector field, ContextToDoc vectorizer,
ReindexWithVectorizer on startup
- StaticEmbedder: pre-trained ConceptNet Numberbatch/fastText word embeddings,
auto-download with TF-IDF fallback, comma-separated multi-model paths
- CleanTemplateText: regex stripping of QQ tool call templates and noise
- textForVector: per-source vector strategy (agent→Response, user→Input,
cold_storage→both)
- Indexer.BuildContext and ExtractKeywords now clean input before vectorization
- Protect recent 10 events in Prune (regression fix: use local var not const)
- Output channels generate per-channel tools: output_send__{name} (type=output) + output_send__{name}_help
- content is JSON string transparently passed to plugin handler for routing
- EventAgentLLMChain: full LLM response forwarded after each turn for webui/logs
- sdk.New refactored to SDKConfig struct (no more 13 positional args)
- RegisterOutputChannel adds desc param for JSON format documentation
- channelDevice simplified (no Tools method), desc field added
- Child agent permission updated for output_send__ prefix
- System prompt: output gates, multi-call, long messages split
- WebUI: subscribes to EventAgentLLMChain in SSE, no output channel
- Tests updated for new naming convention
Root node items (items without category) were skipped by depth>0 check,
causing knowledge_list to always return '(空)'. Also simplified formatTree
to avoid redundant child item rendering.
- Prune context BEFORE processing (LSTM forget gate pattern)
so LLM only sees relevant context, instead of pruning after the fact
- Fix ensureTrained() to recompute all event vectors after retraining
vectorizer, fixing feature-space mismatch between stored vectors and
query vector that made relevance scoring effectively random
- Add read lock to knowledge BuildTree() (data race fix)
- Log writeIndex() errors instead of discarding them
- Fix TOCTOU race in document ContextToDoc() dedup
- Fix healthcheck timing (measure elapsed before cleanup)
- Refactor waiter CLI into separate files (state, conn, config, editor,
history, builtin) for maintainability
- Add CLI plugin API key authentication
- annotate queued and interrupt inputs with source/output channel context
- drain all pending interrupts instead of only one
- avoid double-processing by routing interrupts exclusively:
active LLM -> intercept channel, idle -> input queue
- keep interrupt source/channel in payload and system context
- Add selfInputCh (chan string, buf 64) to Agent struct
- eventLoop reads from both io.InputChan() and selfInputCh
- enqueueConsolidationTask uses injectSelf() instead of io.InjectTextTo()
- SelfInputChan() exposes read-only channel for testing
- Core no longer depends on IO layer for internal tasks
