GET/PATCH /api/providers/config, subset POST /refresh, and
GET /api/providers/:id/diagnostic (JSON { diagnostic }, §6.4). PATCH order
is validate→save→reload→clear; a malformed body or invalid merged config
returns 422 without writing, and a save failure returns 500 without
reloading (no file/registry divergence). Web client + types extended.
Coder / menu now shows two groups: the active agent's commands first (manifest + live ACP available_commands), BooCoder skills second. SlashCommandPicker gains an opt-in groups prop (flat items path unchanged -> BooChat byte-identical, parity verified); ChatInput takes slashGroups; CoderPane builds the groups. Skills run under the selected agent: coder skill_invoke accepts a provider and, when external, injects the server-side skill body into a dispatched task instead of native inference. Also folds in the initial-chat skill fix (handleLandingSkill: create chat -> assign to pane -> invoke, same transition as a text send) that resolves the landing-page blank screen. BooChat slash menu + skill invocation unchanged.
POST /api/sessions/:sessionId/pending/create queues a pending_changes create via queueCreate (WriteGuardError -> 422 with the guard message). RightRail gains a 'New file from pasted text' modal (path + content) wired through api.coder.createPendingFile; sessionId is threaded down from App.tsx. The staged change shows in the CoderPane DiffPanel for explicit apply.
The CoderPane runs its own inference runner and broker on the boocoder
service. The AskUserInputCard was calling /api/chats/:id/answer_user_input
on the main BooChat server, which has a different inference runner — the
answer was accepted but the next turn was enqueued on the wrong runner,
so nothing happened.
Fix: register the same answer_user_input endpoint on the boocoder, and
add an apiPrefix prop to AskUserInputCard so the CoderPane routes
through /api/coder/chats/:id/answer_user_input. BooChat's MessageList
continues to use the default (no prefix) path.
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.
- 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.
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.
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).
