provider-snapshot no longer returns null for uninstalled/disabled providers: it emits one entry per registered provider with a lifecycle status (loading|ready|unavailable|error), an enabled flag, and a two-tier probe. Tier-1 is a fast which-style check (command-availability.ts, execFile/no-shell); tier-2 (cold ACP probe) is skipped unless forced, last_probed_at is older than PROVIDER_PROBE_TTL_MS (24h), or DB models are empty — the snapshot-latency win. Cache miss returns status:'loading' synchronously while the build settles via the existing inflight promise. ProviderSnapshotStatus/Entry regain loading/unavailable + gain enabled/description?/fetchedAt? in both coder and web copies, guarded by a runtime parity test (provider-types-parity.test.ts; compile-time cross-project check was blocked by TS6307). Also tracks the data/coder-providers.json seed via a .gitignore exception, completing the Phase 1 config file. No dispatch/route/UI changes (Phase 3+); AgentComposerBar filtering unchanged. 13 snapshot tests (+6) + 6 parity tests.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Adds a config layer merged over the hardcoded built-ins (tasks 1.1-1.6): CODER_PROVIDERS_PATH env (default /data/coder-providers.json); provider-config.ts (Zod schema + never-throw loader — missing/invalid file falls back to built-ins only — + save); provider-config-registry.ts (ResolvedProviderDef + buildResolvedRegistry merge: override built-ins, add custom extends:'acp' entries, boocode always enabled + singleton); agent-probe now iterates the resolved registry, probes custom-ACP command[0] via execFile (no shell), skips disabled providers (keeps the row), reads enabled from memory only (no DB column). No snapshot/dispatch/route/UI changes (Phase 2+). 6 new unit tests; empty config provably yields exactly the built-ins.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Source-level recon of QwenLM/qwen-code (Apache-2.0) informed 4 lifts:
1. FAST_MODEL config: optional env var routes cheap LLM calls (titles,
summaries, labeling) to a smaller model on llama-swap. auto_name.ts
uses ctx.config.FAST_MODEL ?? session.model. Set FAST_MODEL=nemotron-
nano-4b to avoid loading the 35B model for 20-token title generation.
2. Tool-use summaries (services/inference/tool-summaries.ts): utility
that generates "git-commit-subject-style" labels for tool batches via
a fast-model LLM call. System prompt + truncation logic ported from
Qwen Code's toolUseSummary.ts. Exported via @boocode/server/inference
for BooCoder's dispatcher to call after task completion.
3. Qwen as dispatchable agent: added to agent-probe.ts KNOWN_AGENTS.
PTY dispatch builds: qwen -p "<task>" --output-format stream-json
(NDJSON structured events over stdout). Env: OPENAI_BASE_URL +
OPENAI_API_KEY points Qwen Code at llama-swap. execution_path CHECK
constraint extended with 'qwen'.
4. Arena routes (routes/arena.ts): POST /api/arena dispatches the same
task to N contestants (2-5, each with different agent/model), each
getting its own task row linked by arena_id UUID. GET /api/arena/:id
shows all contestants. POST /api/arena/:id/select/:task_id marks
winner. Schema: arena_id column added to tasks.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Phase 5 of v2.0. External agent dispatch via SSH to host.
ACP dispatch (acp-dispatch.ts): spawns agent via SSH with JSON-RPC
stdio pipe. Wraps opencode/goose in ACP mode. Captures structured
events (file operations, tool calls) mapped to parts taxonomy.
Falls back to PTY if ACP handshake fails.
PTY dispatch (pty-dispatch.ts): raw SSH spawn for agents without ACP
support (claude, pi). Captures stdout/stderr as plain text. Simpler
but less structured than ACP.
SSH helper (ssh.ts): shared spawn wrapper for SSH commands to
samkintop@100.114.205.53 (Tailscale IP, same as booterm). Uses
openssh-client installed in the runtime Dockerfile stage.
Worktree management (worktrees.ts): createWorktree (git worktree add
via SSH), diffWorktree (git diff HEAD...task-branch), cleanupWorktree
(git worktree remove --force). One worktree per task at
/tmp/booworktrees/<taskId>.
Dispatcher updated: checks available_agents.supports_acp to pick
transport. Path B flow: create worktree → dispatch agent → diff
worktree → queue diff into pending_changes → cleanup worktree →
mark task complete.
Agent probe updated: probes via SSH to find host-installed agents
(which opencode && opencode --version over SSH).
Dockerfile: openssh-client added to runtime stage.
Config: SSH_HOST env var (default 100.114.205.53).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Phase 2 of v2.0. BooCoder is now a functional write-capable chatbot.
Write-path guard: resolveWritePath() uses resolve() (no realpath — files may
not exist for creates) + prefix-check + secret-file deny list (.env, *.pem,
id_rsa*, etc.). 23 unit tests cover traversal attacks.
Pending-changes service: queueEdit/Create/Delete → applyOne/All →
rejectOne/All → rewindOne. Edit diffs stored as JSON {old, new}. All writes
queue before touching disk; apply re-validates the path guard.
5 write tools: edit_file, create_file, delete_file, apply_pending, rewind.
Registered alongside 25 read-only tools from BooChat (30 total, alpha-sorted).
Write tools use a module-level inference context for sql+sessionId injection.
Inference loop via workspace dependency: apps/coder imports
createInferenceRunner, createBroker, ALL_TOOLS from @boocode/server (dist/).
apps/server gains declaration: true + exports map with typed subpath entries.
No code duplication — one inference engine shared by both apps.
API routes: POST /api/sessions/:id/messages (user msg → inference), POST stop,
GET/POST pending-changes CRUD (5 endpoints), WebSocket session streaming.
Dockerfile updated to build apps/server first (coder depends on its .d.ts).
Health endpoint reports tool count: {"ok":true,"db":true,"tools":30}.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Phase 1 of v2.0. BooCoder is live at port 9502 with a health endpoint.
- Database renamed: ALTER DATABASE boocode RENAME TO boochat (one-time).
All services updated to connect to /boochat. Docker service name stays
boocode_db (rename is internal to Postgres, not Docker).
- New apps/coder/ app skeleton: Fastify server with health endpoint,
postgres connection, schema apply on boot. Mirrors apps/server pattern
but minimal (no inference loop yet — Phase 2).
- Schema: pending_changes (operation queue before /apply), tasks (dispatch
DAG with state machine), available_agents (startup-probed agent registry),
human_inbox view (tasks WHERE state IN blocked/failed). All IF NOT EXISTS,
idempotent on re-run. Same boochat database, different tables.
- Dockerfile: Node 20 bookworm-slim (glibc for future node-pty in Phase 5).
Multi-stage build matching the existing boocode image pattern.
- docker-compose.yml: boocoder service on 100.114.205.53:9502, /opt:/opt:rw
mount (write-capable, policy-gated at tool layer), depends on boocode_db.
- BOOCODER.md: container guidance declaring write-tool capability +
pending-changes discipline.
All 4 services boot and pass health checks. 9 tables in the shared DB.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
