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>
38 lines
1.6 KiB
Python
38 lines
1.6 KiB
Python
"""Add assistant_chats table.
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Revision ID: 044
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Revises: 043
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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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from sqlalchemy.dialects import postgresql
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revision: str = "044"
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down_revision: str = "043"
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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.create_table(
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"assistant_chats",
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sa.Column("id", postgresql.UUID(as_uuid=True), primary_key=True, server_default=sa.text("gen_random_uuid()")),
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sa.Column("user_id", postgresql.UUID(as_uuid=True), sa.ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True),
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sa.Column("account_id", postgresql.UUID(as_uuid=True), sa.ForeignKey("accounts.id", ondelete="CASCADE"), nullable=False, index=True),
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sa.Column("title", sa.String(255), nullable=False, server_default="New Chat"),
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sa.Column("messages", postgresql.JSONB(), nullable=False, server_default=sa.text("'[]'::jsonb")),
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sa.Column("message_count", sa.Integer(), nullable=False, server_default=sa.text("0")),
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sa.Column("total_input_tokens", sa.Integer(), nullable=False, server_default=sa.text("0")),
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sa.Column("total_output_tokens", sa.Integer(), nullable=False, server_default=sa.text("0")),
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sa.Column("pinned", sa.Boolean(), nullable=False, server_default=sa.text("false")),
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sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("now()")),
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sa.Column("updated_at", sa.DateTime(timezone=True), server_default=sa.text("now()")),
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)
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def downgrade() -> None:
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op.drop_table("assistant_chats")
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