The permission_requested WS frame now carries kind ('tool'|'question'|'plan'|
'elicitation'), input (the tool's rawInput payload), and description fields.
PermissionCard detects question-type permissions (Claude Code's AskUserQuestion)
and renders an interactive radio/checkbox form instead of approve/deny buttons.
Submitting answers auto-selects the first allow option.
Also wires up ACP createElicitation (unstable/experimental) — JSON Schema-driven
forms for structured user input. The same PermissionCard renders elicitation
fields with type-appropriate inputs. Both flows use the existing permission-waiter
blocking pattern with 120s timeout.
The response path (POST /api/coder/tasks/:id/permission) now accepts optional
updated_input alongside option_id, forwarded to the ACP agent as the user's
answer payload. Elicitation responses map to accept/decline/cancel actions.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- BooCoder moves from Docker to host systemd service (boocoder.service)
- Agent dispatch (ACP + PTY) switches from SSH to direct spawn/exec
- SSH helpers marked @deprecated (kept for one release cycle)
- Provider registry (5 providers: boocode, opencode, goose, claude, qwen)
- Agent probe with direct which/exec + model discovery (qwen settings, static claude models)
- GET /api/providers route with installed status, models, transport fallback
- ProviderPicker frontend component in CoderPane header
- External provider messages route through tasks row instead of inference enqueue
- Smart scroll: MessageList only auto-scrolls when near bottom (150px threshold)
- DB: available_agents gets models, label, transport columns
- Bug fix: loadContext SELECT includes allowed_read_paths
- Bug fix: cap hit sentinel inserted before buildMessagesPayload
- docker-compose.yml: boocoder service commented out, BOOCODER_URL env var added
- CLAUDE.md: updated docs for systemd, provider registry, JSONB gotcha, loadContext
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 8 of v2.0. Final hardening pass before production tag.
Path-guard fuzz suite (34 tests): traversal attacks (../ all depths,
encoded %2e%2e, null bytes, absolute escapes, prefix-without-separator,
backslash), secret-file deny list (.env, *.pem, id_rsa*, *.key,
credentials.json, *.kdbx, .netrc), valid-path positives, edge cases
(empty, whitespace, very long, triple-dot, multiple slashes).
write_guard.ts hardened: added null-byte rejection and whitespace-only
rejection (previously only checked empty string).
Pending-changes integration test skeleton: 4 tests covering the full
queue→apply→rewind cycle against a real DB + filesystem. Gated on
DATABASE_URL via describe.runIf (same pattern as apps/server's
tool_cost_stats.test.ts). Skips cleanly when unset.
57 tests passing (23 existing + 34 fuzz), 4 integration skipped.
All builds clean. All services healthy.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Phase 7 of v2.0. BooCoder gains a terminal-driven UX and subagent
isolation primitive.
CLI (src/cli.ts): standalone entry point for terminal use.
- boocode run "task" [--agent x] [--model y] — create + stream output
- boocode ls [--state x] — formatted task table
- boocode attach <id> — WS stream of running task
- boocode send <id> "msg" — follow-up message to task session
Connects to BOOCODER_URL (default http://100.114.205.53:9502).
Human inbox (routes/inbox.ts): GET /api/inbox (failed/blocked tasks),
POST /api/inbox/:id/retry (reset to pending for re-dispatch).
Cost tracking: dispatcher aggregates tokens_used from all messages in
the task's session after completion, stores in tasks.cost_tokens.
GET /api/stats/costs?group_by=project|agent|day for aggregation.
Boomerang subagent isolation (3 new tools):
- new_task: creates child task with parent_task_id linkage, runs in
fresh isolated session. Orchestrator sees only output_summary.
- list_tasks: query child tasks of current parent
- check_task_status: read task state + output_summary
The orchestrator pattern: an agent with tools: [new_task, list_tasks,
check_task_status] can ONLY dispatch — can't read files or MCP. This
is the Roo Code Boomerang Tasks capability-restriction principle.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Phase 6 of v2.0. BooCoder exposes its task primitives as MCP tools
so external agents (Sam's opencode in Termius) can drive the task
queue without going through the web UI.
6 MCP tools registered via McpServer + StdioServerTransport:
- boocoder.create_task — INSERT pending task
- boocoder.list_pending_changes — SELECT pending changes
- boocoder.apply — apply a specific pending change to disk
- boocoder.reject — reject a pending change
- boocoder.dispatch_external_agent — create task with agent for Path B
- boocoder.list_worktrees — list active worktrees from running tasks
Activated by --mcp CLI flag: `node dist/index.js --mcp` starts the
MCP server over stdio instead of the HTTP server. Configure in
opencode: {"mcpServers":{"boocoder":{"type":"stdio","command":"docker",
"args":["exec","-i","boocoder","node","dist/index.js","--mcp"]}}}
Uses McpServer class from @modelcontextprotocol/sdk/server/mcp.js
(high-level .tool() registration API). Zod schemas for input
validation. Process blocks on stdin close, cleanly shuts down DB.
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 4 of v2.0. BooCoder can now queue tasks and dispatch them
through the inference loop autonomously.
Dispatcher (services/dispatcher.ts): in-process setInterval(5s) polls
tasks WHERE state='pending', picks one at a time, creates an isolated
session+chat, enqueues inference with the task's input as the user
message, polls for completion, marks state completed/failed with
output_summary. Single-task-at-a-time for v2.0.0; parallel dispatch
is a Phase 5+ concern. Respects onClose hook for graceful shutdown.
Task routes (routes/tasks.ts): POST /api/tasks (create), GET /api/tasks
(list with state/project filters), GET /api/tasks/:id (detail),
POST /api/tasks/:id/cancel (marks cancelled, aborts if running).
Agent probe (services/agent-probe.ts): on startup, probes PATH for
opencode/goose/claude/pi via which + --version. UPSERTs into
available_agents table. Finds nothing inside the container (expected —
Phase 5 addresses host-agent access via ACP/PTY).
Schema: ALTER TABLE tasks ADD COLUMN IF NOT EXISTS session_id (links
task to its auto-created inference session for isolation).
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>
