- resolveSessionFolder now always returns unique folder for arbiter
(prevents sharing session with owner when both use same agent type)
- Arbiter sessionId forced to undefined to prevent resume attempts
- Owner finalize with concerns now checks deadlock threshold before
looping back — prevents merge_ready ↔ active infinite oscillation
- Arbiter verdict resets round_trip to threshold-1 instead of 0,
giving agents one round before re-triggering arbiter
- New paired_turn_outputs table stores agent output directly in DB
- Owner/reviewer prompts assembled from DB instead of Discord messages
- Arbiter context includes human messages + turn outputs
- Falls back to Discord messages for pre-migration tasks
- 50k char storage limit with truncation warning
- /stop now resets the active paired task to completed so the next
user message routes to the owner instead of the stuck reviewer
- Owner completion with sawOutput=false (e.g. interrupted by /stop)
no longer auto-triggers the reviewer — treated as interrupted
- Clear pendingProgressText when intermediate updates arrive on an
existing progress message, preventing flushPendingProgress from
overwriting latestProgressText with stale buffered content
- Dashboard memory: use /proc/meminfo MemAvailable instead of os.freemem()
to exclude Linux buffer/cache from reported usage
- Add build:container npm script for reviewer Docker image rebuild
- Update deploy commands in CLAUDE.md and README.md to include build:container
Kimi coding plan and GLM both use Anthropic-compatible API, not OpenAI.
queryModel now dispatches to /v1/messages or /chat/completions based on
apiFormat config per reference model.
Recovered kimi-usage.ts from bot session logs — original was deleted
during March 27 fallback cleanup. Shows 5h/7d usage bars in dashboard
alongside Claude and Codex, using sk-kimi-* coding plan API key.
- Failover is now global (account-level, not per-channel)
- Dashboard shows role model config (Owner/Reviewer/Arbiter + MoA refs)
- Dashboard shows failover status when active
- Auto-clear failover on successful Claude rotation
- Remove per-channel lease writes from failover path
Instead of spawning separate processes or using OpenRouter, MoA now:
- Queries external API models (Kimi, GLM) in parallel for opinions
- Injects opinions into the SDK arbiter's prompt
- The existing subscription-based arbiter aggregates all perspectives
No extra SDK processes, no OpenRouter dependency. Per-model config via
MOA_REF_MODELS + MOA_{NAME}_MODEL/BASE_URL/API_KEY env vars.
When MOA_ENABLED=true, arbiter queries multiple LLM models in parallel
via OpenAI-compatible API, then an aggregator model synthesizes the
final verdict from all opinions. Falls back to single-agent arbiter
when MoA is disabled.
Config: MOA_BASE_URL, MOA_API_KEY, MOA_REFERENCE_MODELS, MOA_AGGREGATOR_MODEL
- Replace better-sqlite3 with bun:sqlite (native, no native addon build)
- Change all spawn('node') to spawn('bun') for agent processes
- Update package.json scripts: node→bun, tsx→bun, npm→bun
- Add bun-types for tsc compatibility
- Add bun:sqlite→better-sqlite3 shim for vitest (tests run on Node.js)
- Update Dockerfile: install bun alongside Node.js (CLIs need Node)
- Update setup/platform.ts: getNodePath() resolves bun binary
- Remove better-sqlite3 from production dependencies (devDep only for tests)
SERVICE_AGENT_TYPE was always 'claude-code' in the unified service,
making it a misleading constant. Each group already has its own
agentType field.
- Removed SERVICE_AGENT_TYPE from config.ts
- Session functions now accept agentType parameter (default: 'claude-code')
- Task scheduler uses task-level agent_type for token rotation decisions
- All fallback defaults changed to 'claude-code' literal
- Logging uses 'unified' instead of the misleading type
Eliminated duplicate task status checks in message-agent-executor.ts
and message-runtime.ts. All status→role decisions now flow through
the single resolveActiveRole() function.
resolveCursorKey and resolveChannel both duplicated the same
taskStatus→role switch. Now resolveActiveRole() is the single
mapping, and both functions derive from it.
Replace all manual channel selection (useReviewerChannel,
useArbiterChannel, isReviewerWorkItem, isArbiterWorkItem, 3-way
ternary chains) with a single resolveChannel(taskStatus) function
that maps task status to the correct Discord bot channel.
Replace all manual cursor key construction (hardcoded chatJid:reviewer,
chatJid:arbiter, pairedCursorKey, 3-way ternary) with a single
resolveCursorKey(chatJid, taskStatus) function.
- Removed pairedCursorKey import (no longer needed)
- Removed loopIsReviewerTurn, loopIsArbiterTurn intermediate variables
- All cursor key logic now flows through one function that maps
task status to the correct role-specific key
The review_ready and arbiter_requested paths in processGroupMessages
were advancing the default (owner) cursor instead of the role-specific
cursor. This caused the reviewer to miss the owner's messages because
the owner cursor had already moved past them.
Now review_ready advances chatJid:reviewer cursor only, and
arbiter_requested advances chatJid:arbiter cursor only.
BLOCKED and NEEDS_CONTEXT verdicts went straight to completed,
bypassing the arbiter entirely. Now when arbiter is enabled, these
verdicts trigger arbiter intervention first — the arbiter may
resolve the block or decide to escalate to the user (ESCALATE).
When OAuth tokens rotate or refresh, all reviewer containers are
automatically removed. The next reviewer turn recreates them with
the latest token, preventing 401 auth failures.
Uses callback pattern to avoid circular dependencies:
- token-rotation.ts: onTokenRotated(cb)
- token-refresh.ts: onTokenRefreshed(cb)
- index.ts: registers recreateAllReviewerContainers as callback
The counter was being reset to 0 on every owner turn, including
bot-only ping-pong turns. This prevented the 3-round-trip echo
loop breaker from ever triggering. Now only human messages reset
the counter.
When both owner and reviewer keep echoing DONE_WITH_CONCERNS without
making progress, the system now stops the ping-pong after 3 round
trips and sets the task to completed, escalating to the user.
