export

​

export_records

def export_records(project_id: str,
                   root_type: RootType=RootType.TRACE,
                   filters: list[FilterType] | None=None,
                   sort: LogRecordsSortClause=LogRecordsSortClause(column_id='created_at', ascending=False),
                   export_format: LLMExportFormat=LLMExportFormat.JSONL,
                   agent_stream_id: str | None=None,
                   experiment_id: str | None=None,
                   column_ids: list[str] | None=None,
                   redact: bool=True,
                   include_code_metric_metadata: bool=False) -> Iterator[dict[str, Any]]

• project_id: The unique identifier of the project.
• root_type: The type of records to export.
• export_format: The desired format for the exported data.
• agent_stream_id: Filter records by a specific agent stream ID.
• experiment_id: Filter records by a specific experiment ID.
• filters: A list of filters to apply to the export.
• column_ids: A list of column IDs to include in the export.
• sort: A sort clause to order the exported records.
• redact: Redact sensitive data from the response.
• include_code_metric_metadata: If True, include per-row scorer metadata (the dict returned alongside the score by code-based scorers via the (score, metadata) tuple-return contract) on each MetricSuccess in the export. Off by default to keep payloads small.

• An iterator that yields each record as a dictionary.: