1aa60dada2
Implements three-phase AI assistant feature: - Phase 0: RAG infrastructure with pgvector embeddings, Voyage AI integration, tree chunking service, and semantic search over team's flow library - Phase 1: In-session copilot panel during flow navigation with contextual AI help, current step awareness, and suggested related flows - Phase 2: Standalone AI chat page with persistent conversation history, pin/delete, and configurable retention policies (account-level) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
32 lines
804 B
Python
32 lines
804 B
Python
"""Add chat retention settings to accounts.
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Revision ID: 045
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Revises: 044
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Create Date: 2026-03-04
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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revision: str = "045"
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down_revision: str = "044"
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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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op.add_column(
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"accounts",
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sa.Column("chat_retention_days", sa.Integer(), nullable=True, server_default=sa.text("90")),
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)
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op.add_column(
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"accounts",
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sa.Column("chat_retention_max_count", sa.Integer(), nullable=True, server_default=sa.text("100")),
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)
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def downgrade() -> None:
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op.drop_column("accounts", "chat_retention_max_count")
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op.drop_column("accounts", "chat_retention_days")
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