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fix: map all NodeType values to span kinds in Arize Phoenix tracing (#32059)

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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Crazywoola <100913391+crazywoola@users.noreply.github.com>
This commit is contained in:
Varun Chawla
2026-03-01 22:54:26 -08:00
committed by GitHub
parent 42a8d962a0
commit 9ddbc1c0fb
2 changed files with 57 additions and 8 deletions
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29
api/core/ops/arize_phoenix_trace/arize_phoenix_trace.py
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@ -155,6 +155,26 @@ def wrap_span_metadata(metadata, **kwargs):
return metadata
# Mapping from NodeType string values to OpenInference span kinds.
# NodeType values not listed here default to CHAIN.
_NODE_TYPE_TO_SPAN_KIND: dict[str, OpenInferenceSpanKindValues] = {
"llm": OpenInferenceSpanKindValues.LLM,
"knowledge-retrieval": OpenInferenceSpanKindValues.RETRIEVER,
"tool": OpenInferenceSpanKindValues.TOOL,
"agent": OpenInferenceSpanKindValues.AGENT,
}
def _get_node_span_kind(node_type: str) -> OpenInferenceSpanKindValues:
"""Return the OpenInference span kind for a given workflow node type.
Covers every ``NodeType`` enum value. Nodes that do not have a
specialised span kind (e.g. ``start``, ``end``, ``if-else``,
``code``, ``loop``, ``iteration``, etc.) are mapped to ``CHAIN``.
"""
return _NODE_TYPE_TO_SPAN_KIND.get(node_type, OpenInferenceSpanKindValues.CHAIN)
class ArizePhoenixDataTrace(BaseTraceInstance):
def __init__(
self,
@ -289,9 +309,8 @@ class ArizePhoenixDataTrace(BaseTraceInstance):
)
# Determine the correct span kind based on node type
span_kind = OpenInferenceSpanKindValues.CHAIN
span_kind = _get_node_span_kind(node_execution.node_type)
if node_execution.node_type == "llm":
span_kind = OpenInferenceSpanKindValues.LLM
provider = process_data.get("model_provider")
model = process_data.get("model_name")
if provider:
@ -306,12 +325,6 @@ class ArizePhoenixDataTrace(BaseTraceInstance):
node_metadata["total_tokens"] = usage_data.get("total_tokens", 0)
node_metadata["prompt_tokens"] = usage_data.get("prompt_tokens", 0)
node_metadata["completion_tokens"] = usage_data.get("completion_tokens", 0)
elif node_execution.node_type == "dataset_retrieval":
span_kind = OpenInferenceSpanKindValues.RETRIEVER
elif node_execution.node_type == "tool":
span_kind = OpenInferenceSpanKindValues.TOOL
else:
span_kind = OpenInferenceSpanKindValues.CHAIN
workflow_span_context = set_span_in_context(workflow_span)
node_span = self.tracer.start_span(