HoneyHive Python SDK v1.4.0
What's Changed
Added
- Copilot Studio trace forwarding adapter
- New
honeyhive.adapters.copilot_studio.copilot_studio_records_to_spans() converts Azure Application Insights diagnostic-export records from a Copilot Studio agent into OpenTelemetry spans you can forward to HoneyHive via OTLP. Maps user/agent messages, tool calls, and errors using GenAI semantic conventions, preserves parent/child trace correlation, and groups a conversation into a single HoneyHive session. Set COPILOT_STUDIO_ADAPTER_KEEP_TOPIC_SPANS=1 to retain internal orchestration spans (dropped by default) and COPILOT_STUDIO_ADAPTER_DEBUG=1 to attach the raw source record for debugging.
dataset_name on experiment runs
ExperimentRunObject now includes a dataset_name field alongside dataset_id, so the linked dataset's name is available when listing or fetching experiment runs. The field is optional and resolves to None for offline (EXT-*), deleted, or unset datasets.
Changed
- Event update:
outputs must be an object
UpdateEventRequest.outputs and LegacyUpdateEventRequest.outputs are now typed as Dict[str, Any] instead of Any. Update calls accept only normalized (object-shaped) outputs; previously an array could slip through and corrupt the stored event. If you were passing a list when updating an event, wrap it as {"value": [...]}. Event creation and OTEL ingestion continue to normalize arrays automatically.
Installation
pip install honeyhive==1.4.0
Links
