Workflow RT: replace float(info.workflow_run_elapsed_time) with
(end_time - start_time).total_seconds() using workflow_run.created_at and
workflow_run.finished_at. The elapsed_time DB field defaults to 0 and can
be stale if the workflow_storage Celery task has not committed yet when the
trace fires. Wall-clock timestamps are more reliable; elapsed_time is kept
as fallback.
Message RT: change end_time from created_at + provider_response_latency to
message.updated_at when updated_at > created_at. The pipeline explicitly
sets message.updated_at = naive_utc_now() at the moment the LLM response
is complete, making it the canonical response-complete timestamp.
Falls back to the latency-based calculation for error/aborted messages.
- Add resolved_parent_context property to BaseTraceInfo for reusable parent context extraction
- Refactor enterprise_trace.py to use property instead of duplicated dict plucking (~19 lines eliminated)
- Fix UUID validation in exporter.py with specific error logging for invalid trace correlation IDs
- Add error isolation in event_handlers.py to prevent telemetry failures from breaking user operations
- Replace pickle-based payload_fallback with JSON storage rehydration for security
- Update TelemetryEnvelope to use Pydantic v2 ConfigDict with extra='forbid'
- Update tests to reflect contract changes and new error handling behavior
Add comprehensive model tracking across all OTEL metrics and logs:
- Node execution metrics now include model_name for LLM operations
- Suggested question metrics include model_provider and model_name
- Dataset retrieval captures both embedding and rerank model info
- Updated DATA_DICTIONARY.md with complete metric label documentation
This enables granular cost tracking, performance analysis, and usage monitoring per model across all operation types.
- Add dify.credential.id to node execution events
- Add dify.event.id to all telemetry events (APP_CREATED, APP_UPDATED, APP_DELETED, FEEDBACK_CREATED)
This ensures all .name fields have corresponding .id fields for reliable aggregation and deduplication.
- Add APP_CREATED, APP_UPDATED, APP_DELETED counters to EnterpriseTelemetryCounter
- Create EnterpriseTelemetryEvent StrEnum for type-safe event names
- Update metric_handler to use new app-specific counters with labels (tenant_id, app_id, mode)
- Convert all event_name strings to EnterpriseTelemetryEvent enum values
- Update exporter to create OTEL meters for new app counters (dify.app.created.total, etc.)
- Update tests to verify new counter behavior and enum usage
