nemo_microservices.types.intake.entry_context#
Module Contents#
Classes#
API#
- class nemo_microservices.types.intake.entry_context.EntryContext(/, **data: typing.Any)#
Bases:
nemo_microservices._models.BaseModel- app: str#
None
Reference to the app that produced this entry, in the form
namespace/name.If the app doesn’t exist, it will be automatically created when the entry is ingested.
- created_at: Optional[datetime.datetime]#
None
UTC timestamp when the entry was created.
- session_id: Optional[str]#
None
Long-lived session identifier (e.g., user account or browser session).
Stored for post-processing analytics; not used by the Intake service at runtime.
- task: str#
None
Name of the task within the app (e.g., ‘chat’, ‘completion’, ‘tool-call’).
If the task doesn’t exist, it will be automatically created when the entry is ingested.
- thread_id: Optional[str]#
None
Logical thread identifier that groups related entries in a multi-turn conversation. If provided, entries with the same thread_id are treated as part of the same conversation. If omitted, the entry is treated as a single-turn interaction (e.g., a standalone tool call or completion).
- trace_id: Optional[str]#
None
Distributed trace identifier (e.g., W3C traceparent).
Intake stores it verbatim and does not use it at ingestion time; helps with later cross-system joins.
- user_id: Optional[str]#
None
Identifier of the application’s end-user who triggered this LLM interaction.
This represents the person using your application (e.g., ‘customer_123’, ‘employee@company.com’), NOT the service account that created the entry record (see ownership.created_by for that). Use this to track which of your users a conversation belongs to, filter entries by user, and enable per-user analytics. Format is application-defined.