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Sakshi

Intake

bionicbutterfly13/sakshi

Intake¶

`sakshi.intake` ¶

Instruction intake.

`InstructionIngestRequest` ¶

Bases: BaseModel

Request payload for canonical instruction ingest.

`text: str = ''` `class-attribute` `instance-attribute` ¶

`source: str = 'user_request'` `class-attribute` `instance-attribute` ¶

`priority: int = 2` `class-attribute` `instance-attribute` ¶

`metadata: dict[str, Any] = Field(default_factory=dict)` `class-attribute` `instance-attribute` ¶

`InstructionIngestResult` ¶

Bases: BaseModel

Structured result for instruction ingest.

`accepted: bool` `instance-attribute` ¶

`reason: str` `instance-attribute` ¶

`instruction_id: str | None = None` `class-attribute` `instance-attribute` ¶

`goal_id: str | None = None` `class-attribute` `instance-attribute` ¶

`source: str | None = None` `class-attribute` `instance-attribute` ¶

`validation_errors: list[str] = Field(default_factory=list)` `class-attribute` `instance-attribute` ¶

`InstructionIngestService` ¶

Canonical instruction ingress for Sakshi goals.

`ingest_instruction(request: InstructionIngestRequest) -> InstructionIngestResult` `async` ¶

Validate, deduplicate, and insert a goal into the graph.