fecf6decfb
* base requirements * autofix * Configure ruff for Python linting and formatting - Set up minimal ruff configuration with basic checks (E, W, F, I) - Add temporary ignores for common issues during migration - Configure pre-commit hooks to use ruff with pass_filenames - This enables gradual migration from black to ruff * Delete sdj * autofixed only * migrate lint action * more autofixed * more fixes * change precommit * try changing the hook * try this stuff
55 lines
2.7 KiB
Python
55 lines
2.7 KiB
Python
import uuid
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from typing import Optional, Union
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from anthropic.types.beta.messages import BetaMessageBatchIndividualResponse
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from sqlalchemy import ForeignKey, Index, String
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from letta.orm.custom_columns import AgentStepStateColumn, BatchRequestResultColumn, LLMConfigColumn
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from letta.orm.mixins import AgentMixin, OrganizationMixin
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from letta.orm.sqlalchemy_base import SqlalchemyBase
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from letta.schemas.enums import AgentStepStatus, JobStatus
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from letta.schemas.llm_batch_job import AgentStepState, LLMBatchItem as PydanticLLMBatchItem
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from letta.schemas.llm_config import LLMConfig
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class LLMBatchItem(SqlalchemyBase, OrganizationMixin, AgentMixin):
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"""Represents a single agent's LLM request within a batch"""
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__tablename__ = "llm_batch_items"
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__pydantic_model__ = PydanticLLMBatchItem
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__table_args__ = (
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Index("ix_llm_batch_items_llm_batch_id", "llm_batch_id"),
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Index("ix_llm_batch_items_agent_id", "agent_id"),
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Index("ix_llm_batch_items_status", "request_status"),
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)
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# TODO: We want to migrate all the ORM models to do this, so we will need to move this to the SqlalchemyBase
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# TODO: Some still rely on the Pydantic object to do this
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id: Mapped[str] = mapped_column(String, primary_key=True, default=lambda: f"batch_item-{uuid.uuid4()}")
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llm_batch_id: Mapped[str] = mapped_column(
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ForeignKey("llm_batch_job.id", ondelete="CASCADE"), doc="Foreign key to the LLM provider batch this item belongs to"
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)
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llm_config: Mapped[LLMConfig] = mapped_column(LLMConfigColumn, nullable=False, doc="LLM configuration specific to this request")
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request_status: Mapped[JobStatus] = mapped_column(
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String, default=JobStatus.created, doc="Status of the LLM request in the batch (PENDING, SUBMITTED, DONE, ERROR)"
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)
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step_status: Mapped[AgentStepStatus] = mapped_column(String, default=AgentStepStatus.paused, doc="Status of the agent's step execution")
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step_state: Mapped[AgentStepState] = mapped_column(
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AgentStepStateColumn, doc="Execution metadata for resuming the agent step (e.g., tool call ID, timestamps)"
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)
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batch_request_result: Mapped[Optional[Union[BetaMessageBatchIndividualResponse]]] = mapped_column(
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BatchRequestResultColumn, nullable=True, doc="Raw JSON response from the LLM for this item"
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)
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# relationships
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organization: Mapped["Organization"] = relationship("Organization", back_populates="llm_batch_items")
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batch: Mapped["LLMBatchJob"] = relationship("LLMBatchJob", back_populates="items", lazy="selectin")
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agent: Mapped["Agent"] = relationship("Agent", back_populates="batch_items", lazy="selectin")
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