--- phase: 02-agent-features plan: 04 subsystem: orchestrator tags: [escalation, handoff, slack-api, redis, celery, pydantic, postgres, alembic] requires: - phase: 02-01 provides: "get_recent_messages for transcript assembly; Redis short-term memory infrastructure" provides: - "Escalation rule evaluator: 'keyword AND count > N' condition parser + natural language phrase detection" - "Conversation transcript packager: Slack mrkdwn format with 3000-char truncation" - "Human DM delivery: Slack conversations.open + chat.postMessage via httpx" - "Escalation status tracking in Redis: escalation_status_key sets 'escalated' flag" - "Post-escalation assistant mode: end-user messages to escalated threads get auto-reply, skipping LLM" - "Agent model fields: escalation_assignee (Slack user ID), natural_language_escalation (bool)" - "Alembic migration 003: adds escalation_assignee and natural_language_escalation to agents table" - "No-op audit logger stub for escalation events (replaced when Plan 02 audit module ships)" affects: - "02-02 (audit) — escalation events use no-op logger stub, ready for real AuditLogger swap" - "tasks.py pipeline — escalation pre/post checks integrated around LLM call" tech-stack: added: [] patterns: - "Condition parsing: 'keyword AND count_field > N' format, regex-based, no eval()" - "TDD pattern: RED (failing tests committed) then GREEN (implementation committed)" - "Escalation pre-check before LLM: Redis flag gates whether LLM is called at all" - "No-op logger stub: allows feature to work before audit plan is implemented" key-files: created: - packages/orchestrator/orchestrator/escalation/__init__.py - packages/orchestrator/orchestrator/escalation/handler.py - migrations/versions/003_escalation_fields.py - tests/unit/test_escalation.py - tests/integration/test_escalation.py modified: - packages/shared/shared/models/tenant.py - packages/orchestrator/orchestrator/tasks.py key-decisions: - "Keyword-based conversation metadata detection (v1): billing keywords + attempt counter from sliding window — simple and sufficient for initial rules" - "Natural language escalation condition uses literal string 'natural_language_escalation' in escalation_rules config — matches plan spec" - "Bot token loaded unconditionally in _process_message (not gated on placeholder_ts) — escalation DM needs it regardless of Slack placeholder presence" - "No-op audit logger stub in tasks.py: escalation works independently of Plan 02 audit module; swap is a one-line change" - "Condition parser uses regex (not eval): safe, deterministic, no code injection risk" patterns-established: - "Escalation check is two-phase: pre-LLM (assistant mode gate) and post-LLM (rule trigger)" - "assistant mode: escalated thread + end user sender → skip LLM entirely, return static reply" - "Escalation DM format follows employee metaphor: '{agent.name} needs human assistance'" requirements-completed: - AGNT-05 duration: 5min completed: 2026-03-23 --- # Phase 02 Plan 04: Human Escalation Handoff Summary **Rule-based and natural-language escalation with Slack DM delivery, Redis assistant-mode gate, and full transcript packaging** ## Performance - **Duration:** 5 min - **Started:** 2026-03-23T21:08:30Z - **Completed:** 2026-03-23T21:13:12Z - **Tasks:** 2 - **Files modified:** 7 ## Accomplishments - Built complete escalation handler: condition evaluator, transcript builder, and Slack DM pipeline - Wired escalation checks into the orchestrator message pipeline at both pre-LLM and post-LLM positions - Added Agent model columns and Alembic migration for escalation configuration - 28 tests passing (22 unit, 6 integration) covering all escalation behaviors ## Task Commits 1. **Task 1 (TDD RED): Failing tests for escalation handler** - `d489551` (test) 2. **Task 1 (TDD GREEN): Escalation handler implementation** - `4047b55` (feat) 3. **Task 2: Wire escalation into orchestrator pipeline** - `a025cad` (feat) ## Files Created/Modified - `packages/orchestrator/orchestrator/escalation/__init__.py` - Package init for escalation module - `packages/orchestrator/orchestrator/escalation/handler.py` - check_escalation_rules, build_transcript, escalate_to_human - `packages/shared/shared/models/tenant.py` - Added escalation_assignee and natural_language_escalation to Agent model - `migrations/versions/003_escalation_fields.py` - Alembic migration for new Agent columns - `packages/orchestrator/orchestrator/tasks.py` - Escalation pre/post checks in _process_message - `tests/unit/test_escalation.py` - 22 unit tests (rule matching, NL phrases, transcript formatting) - `tests/integration/test_escalation.py` - 6 integration tests (Slack API mocking, Redis, audit) ## Decisions Made - **Keyword-based metadata detection (v1):** Rather than LLM-structured output, detect billing keywords and count user turns as a proxy for attempts. Simple, zero-latency, sufficient for v1 escalation rules. - **Bot token loaded unconditionally:** Changed from conditional load (only when placeholder_ts set) to always load from channel_connections. Escalation DM delivery requires it regardless. - **No-op audit logger stub:** tasks.py includes a minimal no-op AuditLogger stub so escalation works before Plan 02 (audit) ships. Swap is one import change. - **Condition parser uses regex, not eval:** Prevents code injection. Supports "X AND Y op Z" format with standard comparison operators. ## Deviations from Plan None - plan executed exactly as written. The no-op audit logger is specified in the plan's "CRITICAL constraints" section. ## Issues Encountered None. ## Next Phase Readiness - Escalation handler ready; can be tested end-to-end with a real Slack bot token in escalation_assignee - When Plan 02 (audit) ships, replace `_get_no_op_audit_logger()` in tasks.py with the real AuditLogger import - Conversation metadata detection is v1 keyword-based; can be upgraded to LLM-structured output in a future plan --- *Phase: 02-agent-features* *Completed: 2026-03-23* ## Self-Check: PASSED - All 7 files created/modified: FOUND - All 3 task commits (d489551, 4047b55, a025cad): FOUND - All 28 tests passing