13c3aa5b4e79d665380de9a94c4008b1c14b364b
- schema.sql: new messages_with_parts view. tool_calls aggregates parts
with kind='tool_call' as a jsonb array of {id, name, args}; tool_results
picks the single sequence=0 part with kind='tool_result' as a jsonb
{tool_call_id, output, truncated, error?}. COALESCE against the legacy
jsonb columns means pre-v1.13.0 history (no parts rows) still reads
correctly via the fallback, and fresh inserts (where parts dual-write
follows the row INSERT) hit the legacy columns until the parts land.
- reasoning_parts column added to the view but not selected by any caller
yet — v1.13.1-C extends the Message type and pulls it into the model
payload alongside the type extension.
- Read sites switched to FROM messages_with_parts:
- routes/chats.ts:427 (chat history GET)
- routes/messages.ts:95 (session history GET)
- routes/ws.ts:27 (WS snapshot on session connect, resume path)
- services/inference/payload.ts (loadContext for model assembly)
- services/compaction.ts (compaction's payload assembly)
- chats.ts:394 (discard_stale UPDATE RETURNING) unchanged — UPDATEs target
messages directly and the returned shape is for a freshly-modified row
where the legacy column is dual-written and correct.
- messages.ts:478/549 (ask_user_input correlation) intentionally not
migrated — those query a different shape, ported in v1.13.1-C.
- Writes still target `messages` directly; the view is read-only.
Smoke verified against the live container:
- Equivalence: 5/5 messages with both legacy column and parts row return
identical tool_calls jsonb between FROM messages and FROM messages_with_parts.
- Perf: EXPLAIN ANALYZE on the 42-message stress chat returns in ~1ms
(50ms threshold). Bitmap Index Scan on message_parts_msg_seq_idx
carries the parts lookups.
- API contract: GET /api/chats/:id/messages returns identical
{id, name, args} tool_calls and {tool_call_id, output, truncated, error}
tool_results shapes to frontend consumers — no UI changes needed.
- Inference path: sent a view_file prompt; assistant turn 1 emitted the
tool_call, tool message captured the result, follow-up assistant turn
read the result back via loadContext (now view-backed) and answered
correctly. End-to-end loop intact.
v1.13.2 drops the dual-write + the JSON columns + simplifies the view
to just SELECT FROM message_parts.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
boocode
Self-hosted single-user developer chat app. v1: chat only.
Stack
- Node 20, Fastify, postgres (porsager/postgres), ws, zod
- React 18, Vite, TypeScript, Tailwind v4, shadcn/ui
- Postgres 16
- pnpm workspaces
Layout
apps/server— Fastify API + WebSocket + inference loop + file-read toolsapps/web— React frontend; served by Fastify in production, Vite in dev
Local dev
Requires Node 20, pnpm, Docker (for Postgres), and ripgrep.
# install
pnpm install
# bring up postgres only
cp .env.example .env
# edit POSTGRES_PASSWORD if you like; default DATABASE_URL points at the container
docker compose up -d boocode_db
# run server (port 3000) and web (port 5173) in two shells
DATABASE_URL=postgres://boocode:devpass@127.0.0.1:5500/boocode \
LLAMA_SWAP_URL=http://100.101.41.16:8401 \
pnpm dev:server
pnpm dev:web
The Vite dev server proxies /api and /api/ws/* to the Fastify backend with a
synthetic Remote-User: sam header so the Authelia auth layer can be skipped
during development.
Production
cd /opt/boocode
docker compose up --build -d
Binds to 100.114.205.53:9500 (Tailscale). Authelia is expected to gate the
upstream and inject Remote-User. Postgres binds loopback only.
What v1 has
Project sidebar, sessions per project, chat with streaming responses over
WebSocket, four file-read tools scoped to the project root (view_file,
list_dir, grep, find_files), and a model picker driven by llama-swap's
/v1/models.
What v1 does not have lives in v2 (terminal pane) and v3 (Coder pane).
Languages
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