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@arizeai/phoenix-mcp

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by Arize-ai
06.13.2025-enhanced-span-creation-and-logging.md1.23 kB
--- description: Available in Phoenix 10.12+ --- # 06.13.2025: Enhanced Span Creation and Logging 🪐 **New Features:** * Added `POST /projects/{project_identifier}/spans` route for span ingestion. * Added `log_spans` client method to submit a sequence of spans, rejecting the entire batch if any span is invalid or not unique. * Added `log_spans_dataframe` for submitting spans as a dataframe. * Introduced `uniquify_spans` and `uniquify_spans_dataframe` helpers to regenerate span and trace IDs while preserving relationships. * Improved validation and error handling to prevent partial ingestion and ensure safe, conflict-free span creation. #### Example Usage ```python from phoenix.client import Client from phoenix.client.helpers.spans import uniquify_spans client = Client() spans = [ { "name": "llm_call", "context": {"trace_id": "trace_123", "span_id": "span_456"}, "start_time": "2024-01-15T10:00:00Z", "end_time": "2024-01-15T10:00:05Z", "span_kind": "LLM" } ] unique_spans = uniquify_spans(spans) result = client.spans.log_spans( project_identifier="my-project", spans=unique_spans, ) ``` {% embed url="https://github.com/Arize-ai/phoenix/pull/8005" %}

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