f5c4ab50f4
* auto fixes * auto fix pt2 and transitive deps and undefined var checking locals() * manual fixes (ignored or letta-code fixed) * fix circular import * remove all ignores, add FastAPI rules and Ruff rules * add ty and precommit * ruff stuff * ty check fixes * ty check fixes pt 2 * error on invalid
50 lines
2.5 KiB
Python
50 lines
2.5 KiB
Python
import uuid
|
|
from typing import TYPE_CHECKING, Optional
|
|
|
|
if TYPE_CHECKING:
|
|
from letta.orm.organization import Organization
|
|
|
|
from sqlalchemy import JSON, Index, String
|
|
from sqlalchemy.orm import Mapped, mapped_column, relationship
|
|
|
|
from letta.orm.mixins import OrganizationMixin
|
|
from letta.orm.sqlalchemy_base import SqlalchemyBase
|
|
from letta.schemas.provider_trace import ProviderTrace as PydanticProviderTrace
|
|
|
|
|
|
class ProviderTrace(SqlalchemyBase, OrganizationMixin):
|
|
"""Defines data model for storing provider trace information"""
|
|
|
|
__tablename__ = "provider_traces"
|
|
__pydantic_model__ = PydanticProviderTrace
|
|
__table_args__ = (Index("ix_step_id", "step_id"),)
|
|
|
|
id: Mapped[str] = mapped_column(
|
|
primary_key=True, doc="Unique provider trace identifier", default=lambda: f"provider_trace-{uuid.uuid4()}"
|
|
)
|
|
request_json: Mapped[dict] = mapped_column(JSON, doc="JSON content of the provider request")
|
|
response_json: Mapped[dict] = mapped_column(JSON, doc="JSON content of the provider response")
|
|
step_id: Mapped[Optional[str]] = mapped_column(String, nullable=True, doc="ID of the step that this trace is associated with")
|
|
|
|
# Telemetry context fields
|
|
agent_id: Mapped[Optional[str]] = mapped_column(String, nullable=True, doc="ID of the agent that generated this trace")
|
|
agent_tags: Mapped[Optional[list]] = mapped_column(JSON, nullable=True, doc="Tags associated with the agent for filtering")
|
|
call_type: Mapped[Optional[str]] = mapped_column(String, nullable=True, doc="Type of call (agent_step, summarization, etc.)")
|
|
run_id: Mapped[Optional[str]] = mapped_column(String, nullable=True, doc="ID of the run this trace is associated with")
|
|
source: Mapped[Optional[str]] = mapped_column(
|
|
String, nullable=True, doc="Source service that generated this trace (memgpt-server, lettuce-py)"
|
|
)
|
|
|
|
# v2 protocol fields
|
|
org_id: Mapped[Optional[str]] = mapped_column(String, nullable=True, doc="ID of the organization")
|
|
user_id: Mapped[Optional[str]] = mapped_column(String, nullable=True, doc="ID of the user who initiated the request")
|
|
compaction_settings: Mapped[Optional[dict]] = mapped_column(
|
|
JSON, nullable=True, doc="Compaction/summarization settings (summarization calls only)"
|
|
)
|
|
llm_config: Mapped[Optional[dict]] = mapped_column(
|
|
JSON, nullable=True, doc="LLM configuration used for this call (non-summarization calls only)"
|
|
)
|
|
|
|
# Relationships
|
|
organization: Mapped["Organization"] = relationship("Organization", lazy="selectin")
|