New task — flower Brief #28 (vectors→MySQL). You're flower-wt1, a fresh codex worker in the flower/wt1 worktree. Call recall_brief id 28 for the full spec. TL;DR on a FRESH branch off latest master `flower/vectors-in-mysql`: persist embedding vectors

next steps

• Add a vector column (packed binary) to the chunk_embeddings table via a new migration
• Modify EmbedChunks to write the vector to MySQL first, then push to Meili
• Create a new command flower:reindex-from-vectors that reads MySQL vectors and pushes to Meili without re-embedding
• Write tests for the new vector storage and reindex command
• Determine if Meili can export stored vectors for backfill (check retrieveVectors support)
• Run php artisan test and pint to keep green
• Commit with 'Brief: #28' trailer

key decisions

• Will extend the existing chunk_embeddings table with a vector column (packed binary) rather than adding a column to chunks, preserving the multi-embedder/eval shape
• Will use packed binary format for vector storage (blob) to save space
• Will store embedding model and dimensions alongside the vector
• Will modify EmbedChunks to write MySQL first, then Meili (MySQL as source of truth)
• Will create a new command flower:reindex-from-vectors that reads MySQL vectors and pushes to Meili with no LLM calls

open questions

• Does the Meilisearch PHP client's retrieveVectors method work with the current Meili version? (to be tested)
• What is the exact packed binary format to use? (likely pack('f*', ...) for float32 array)
• Should the vector column be added to chunk_embeddings or a separate table? (leaning toward chunk_embeddings)
• How to handle the backfill of existing chunks that have vectors only in Meili? (need to confirm if Meili can export stored vectors)

next steps

• Run full test suite to ensure no regressions
• Commit changes with Brief #28 trailer
• Consider running a backfill for existing chunks from Meili if needed

key decisions

• Store vectors as packed float32 little-endian BLOB in MySQL (vector column) with metadata columns vector_format, embedding_model, dimensions
• MySQL is the source of truth; Meilisearch is a rebuildable index fed from stored vectors
• EmbedChunks now persists vectors to MySQL before Meili upsert and reuses stored vectors on retries, avoiding redundant embedding calls
• Reindex-from-vectors command does not call embedding provider; it only indexes chunks with existing MySQL vectors

open questions

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next steps

• Debug the actual command output to align test expectations with the summary format
• Fix the command's summary counters or test assertions so all tests pass
• Run full test suite and Pint after fixing
• Commit with Brief: #28 trailer

key decisions

• Use a fake MeiliIndexManager in tests to avoid live Meili dependency
• Command defaults to dry-run; --force required to write to MySQL
• Summary output split into separate lines for clarity and easier test assertions

open questions

• Why does the command output not contain the expected counter strings like 'would_store=1'? Likely a mismatch between the summary format and the test expectations.

next steps

• Read the current embed/indx code, config, and Sentry setup so the payload-bounds fix lands in the right layer.

key decisions

• Branch from master for fresh work on embed-payload-bounds.

open questions

• What exactly is the current embed/indx code?
• What config and Sentry setup are relevant?
• How the giant sessions produce oversized chunk?
• What the chunkr is leaking oversized chunk vs cap at embed time?

next steps

• Decide whether to cap at embed time or fix chunkr leaking.
• Then implement the batch by byte size, cap text, scrub Sentry OOM.

key decisions

• The fix will land in the embed/indx layer, not the chunkr.

open questions

• What the current embed/indx code looks like?
• What the Sentry config looks like?
• What the chunkr is doing?
• What the giant sessions produce oversized chunk?
• What the chunkr is leaking oversized chunk vs cap at embed time?

next steps

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key decisions

• Truncate Meili document text at 64 KiB with a marker instead of splitting chunks, preserving full text in MySQL.
• Use byte-based sub-batching (8 MiB target) via json_encode with JSON_THROW_ON_ERROR to match Meili client serialization.
• Unset the $documents parameter before the Meili call to remove it from PHP exception backtrace args, preventing Sentry OOM.
• Set Sentry max_value_length to 512 to keep scalar values short in any remaining stack metadata.

open questions

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next steps

• Fix the failing tests by adjusting output expectations or command logic to match actual counts.

key decisions

• Created a shared CommitBriefRefParser service to avoid duplicating trailer regex logic between ingest and backfill.
• Refactored CommitIngestService to use the shared parser, keeping the same meta.brief_refs structure.
• Tightened BriefAutoLinkService to treat any existing link for the same brief+commit as already linked, regardless of relation, preventing double-linking.
• Added the BackfillBriefCommitLinks command with dry-run default and --force, following the pattern of existing backfill commands.

open questions

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next steps

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key decisions

• Switched from PendingCommand expectations to direct Artisan::call() + output assertions for more reliable test assertions.

open questions

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next steps

• Add 'too_large' case to IngestState enum
• Add max_session_tokens config to config/flower.php
• Implement pre-flight token-ceiling check in SegmentSession::handle()
• Add guard in IngestSession re-dispatch path
• Extend flower:ingest-backlog to count and mark over-ceiling sessions
• Write sqlite-backed tests for over-ceiling, under-ceiling, and no-re-dispatch scenarios

key decisions

• Will use persisted session token aggregates as primary size estimate with event text byte fallback for sessions without usage totals
• Will add 'too_large' to existing IngestState enum (no migration needed)
• Will NOT throw on over-ceiling — will mark terminal state and return success to avoid failed_jobs rows

open questions

• Exact default value for max_session_tokens config (should be well above normal but below ~356M token giants)
• Whether the IngestSession re-dispatch path at line 293 needs a separate guard or if the SegmentSession guard is sufficient

next steps

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key decisions

• Add IngestState::TooLarge as a terminal state rather than reusing Error or adding a boolean flag.
• Use a dedicated SessionSizeEstimator service that checks stored aggregate token totals first, then falls back to event payload estimation.
• Exclude over-ceiling sessions from rekick eligibility in the backlog command to avoid infinite retries.
• Add --mark-too-large switch to backlog command for manual reconciliation rather than auto-marking on every run.

open questions

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next steps

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key decisions

• Made SessionSizeEstimator parameter optional in SegmentSession::handle() to maintain backward compatibility with existing callers/tests.

open questions

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next steps

• After merge to master, perform graceful Horizon reload and run reconcile/backlog marking.

key decisions

• Used stdout handback instead of brief_append since the MCP tool was not exposed in this session.
• No live DB writes/migrate/tinker were performed from the worktree.

open questions

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next steps

• Patch HealthService to use configurable stale threshold and roster-aware severity escalation.
• Patch BestEffortPusherBroadcaster to swallow ApiErrorException for payload-too-large.
• Add/update tests for both fixes.
• Run pint and full test suite.
• Commit per-unit with 'Brief: #55' trailer.

key decisions

• Will consume DaemonRosterService liveness as single source of truth rather than duplicating heartbeat math.
• Will add config key health.ingest_freshness_stale_after_minutes with 60 minute default.

open questions

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next steps

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key decisions

• Ingest freshness threshold made config-overridable with default 60 minutes.
• Ingest freshness only escalates to critical when daemon roster has stale/dead evidence and no live daemon heartbeat.
• BestEffortPusherBroadcaster now swallows/logs payload-too-large Pusher API errors while still surfacing real config/auth errors.

open questions

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next steps

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key decisions

• Folded hidden-completed count into main index query as a scalar subquery to avoid extra query round trip (query budget).
• Used existing x-ui.badge component with variant='accent' for auto-dispatch badge, matching bloom design.
• Persisted hideCompleted via #[Url(as: 'hide_completed', except: true)] so it survives navigation but is omitted from URL when default (true).

open questions

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next steps

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key decisions

• Used existing `BriefQuestionStatus` enum instead of hardcoded 'open' string for the withCount query.
• Mirrored the Orphaned subtree style for the nav subitem, without adding a count badge to avoid a layout-level DB query.
• Kept the filter as a simple toggle (open vs. all) rather than a multi-state dropdown.

open questions

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next steps

• Implement FeedService with union queries and classification (noise, activity, needs_you)
• Implement Livewire component (Rooms/Show) with hide-noise toggle and needs-you lane
• Add route /rooms/{project:slug} in web.php
• Write sqlite tests for FeedService classification and Livewire toggling
• Commit per unit with 'Brief: #39' trailer
• Do NOT merge; hand back to operator

key decisions

• Feed is read-only async, no per-event websocket chat (operator confirmed)
• Classification derived from source+kind with no schema change
• Daemon feed entries reuse DaemonRosterService::daemonPayload for consistent MIA/heartbeat thresholds
• Feedback scoping derived from existing data (context.project_* and brief promotion links) since feedback table has no project_id column
• Hide-noise toggle pattern mirrors Brief #59 hide-completed pattern with persisted Livewire prop + query string
• Audible ping only on new needs_you entries, using existing Reverb broadcast as refresh nudge

open questions

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