Changeset 0.15.1 (#73)

docs/ROADMAP.md

@@ -786,28 +786,30 @@ summary. After compaction (v0.15.0) or in long conversations, the model
 may need to re-read source material. These tools bridge that gap.
 
 **`attachment_recall` tool**
-- [ ] `attachment_recall(attachment_id)` — re-reads attachment content from storage
-- [ ] Images: re-inject as base64 content part (vision gating still applies)
-- [ ] Documents: return extracted text
-- [ ] Security: scoped to current channel's attachments only
-- [ ] Extend `ExecutionContext` with optional storage backend reference
-- [ ] Tool definition includes attachment list hint so model knows what's available
+- [x] Two-action design: `list` (channel metadata) + `read` (content by ID)
+- [x] Images: base64 data URI from object storage (10MB cap)
+- [x] Documents: return `extracted_text` from DB
+- [x] Security: channel-scoped — attachment must belong to `ExecutionContext.ChannelID`
+- [x] Late registration: only registered when `objStore` is non-nil
+- [x] Category: `context` (groups with conversation_search in toggle UI)
 
 **`conversation_search` tool**
-- [ ] Keyword search over compacted/archived messages in current channel
-- [ ] Returns matching message excerpts with timestamps
-- [ ] Useful post-compaction when summary dropped details the user asks about
+- [x] Full-text keyword search via `plainto_tsquery` over channel messages
+- [x] `ts_headline` for highlighted excerpts with `**` markers
+- [x] Role filter: `all`, `user`, `assistant`
+- [x] Scoped to current channel, excludes soft-deleted messages
+- [x] On-the-fly `to_tsvector` (no migration needed — channel-bounded)
 
 **Token estimator improvements**
-- [ ] Include attachment token estimates in context counter
-- [ ] Images: use provider-specific sizing rules (e.g. tile-based for OpenAI)
-- [ ] Documents: count extracted text tokens
-- [ ] Staged attachments reflected in input token counter before send
+- [x] `Tokens.estimateAttachments()` — images ~765 tokens, docs by text length
+- [x] Staged attachment tokens reflected in input counter before send
+- [x] Context percentage includes attachment estimates
 
 **KB auto-injection** (depends on: knowledge bases v0.14.0, compaction v0.15.0)
 - [ ] Pre-pend top-K KB results to system prompt (automatic, no tool call needed)
 - [ ] Context budget aware: skip injection if context already near limit
 - [ ] Per-channel toggle: tool-only vs auto-inject vs both
+- _(deferred — requires adding embedder to CompletionHandler, latency budgeting)_
 
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