e0a23f7039
* feat: add usage columns to steps table Adds denormalized usage fields to the steps table for easier querying: - model_handle: The model handle (e.g., "openai/gpt-4o-mini") - cached_input_tokens: Tokens served from cache - cache_write_tokens: Tokens written to cache (Anthropic) - reasoning_tokens: Reasoning/thinking tokens These fields mirror LettaUsageStatistics and are extracted from the existing prompt_tokens_details and completion_tokens_details JSON columns. 🤖 Generated with [Letta Code](https://letta.com) Co-Authored-By: Letta <noreply@letta.com> * chore: regenerate OpenAPI specs and SDK for usage columns 🤖 Generated with [Letta Code](https://letta.com) Co-authored-by: Sarah Wooders <sarahwooders@users.noreply.github.com> --------- Co-authored-by: Letta <noreply@letta.com> Co-authored-by: letta-code <248085862+letta-code@users.noreply.github.com> Co-authored-by: Sarah Wooders <sarahwooders@users.noreply.github.com>
34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
"""add_usage_columns_to_steps
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Revision ID: 3e54e2fa2f7e
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Revises: a1b2c3d4e5f8
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Create Date: 2026-02-03 16:35:51.327031
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"""
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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 = "3e54e2fa2f7e"
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down_revision: Union[str, None] = "a1b2c3d4e5f8"
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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("steps", sa.Column("model_handle", sa.String(), nullable=True))
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op.add_column("steps", sa.Column("cached_input_tokens", sa.Integer(), nullable=True))
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op.add_column("steps", sa.Column("cache_write_tokens", sa.Integer(), nullable=True))
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op.add_column("steps", sa.Column("reasoning_tokens", sa.Integer(), nullable=True))
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def downgrade() -> None:
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op.drop_column("steps", "reasoning_tokens")
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op.drop_column("steps", "cache_write_tokens")
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op.drop_column("steps", "cached_input_tokens")
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op.drop_column("steps", "model_handle")
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