feat(02-04): wire escalation into orchestrator pipeline
- Add escalation pre-check in _process_message: assistant mode for escalated threads - Add escalation post-check after LLM response: calls escalate_to_human on rule match - Load Slack bot token unconditionally (needed for escalation DM, not just placeholders) - Add keyword-based conversation metadata detector (billing keywords, attempt counter) - Add no-op audit logger stub (replaced by real AuditLogger from Plan 02 when available) - Add escalation_assignee and natural_language_escalation fields to Agent model - Add Alembic migration 003 for new Agent columns
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migrations/versions/003_escalation_fields.py
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migrations/versions/003_escalation_fields.py
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"""Phase 2 Plan 04: Add escalation_assignee and natural_language_escalation to agents
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Revision ID: 003
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Revises: 002
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Create Date: 2026-03-23
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These columns support the human escalation/handoff system:
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- escalation_assignee: Slack user ID of the human to DM when escalation triggers
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- natural_language_escalation: tenant-level flag enabling NL phrase detection
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Both are nullable/defaulted so existing agent rows are unaffected.
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"""
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from __future__ import annotations
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from typing import Sequence, Union
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import sqlalchemy as sa
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from alembic import op
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# revision identifiers, used by Alembic.
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revision: str = "003"
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down_revision: Union[str, None] = "002"
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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# Add escalation_assignee column — nullable TEXT
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op.add_column(
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"agents",
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sa.Column(
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"escalation_assignee",
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sa.Text,
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nullable=True,
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comment="Slack user ID of the human to DM on escalation (e.g. U0HUMANID)",
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),
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)
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# Add natural_language_escalation column — NOT NULL with default False
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op.add_column(
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"agents",
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sa.Column(
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"natural_language_escalation",
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sa.Boolean,
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nullable=False,
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server_default=sa.text("FALSE"),
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comment="Whether natural language escalation phrases trigger handoff",
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),
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)
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def downgrade() -> None:
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op.drop_column("agents", "natural_language_escalation")
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op.drop_column("agents", "escalation_assignee")
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