why workflow agent node no prompt_tokens

[Qmodest]

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Content

table：workflow_node_executions

execution_metadata
.....
......
"metadata": {
"currency": "RMB",
"elapsed_time": 25.737108811736107,
"finished_at": 71617169.64230153,
"started_at": 71617143.90519297,
"total_price": "0",
"total_tokens": 4002
},
"node_id": "1750316128624"

[dosubot[bot]]

Hi @Qmodest! I'm Dosu and I’m helping the dify team.

Dify intentionally only records aggregate total_tokens for agent (and tool) nodes in workflow execution metadata, not prompt_tokens. This is by design to simplify reporting for complex, multi-step agent executions, where tracking partial stats like prompt_tokens or completion_tokens for each internal LLM call could be confusing or misleading. Only total_tokens, total_price, and currency are included in the metadata for these nodes, even though more detailed token usage is tracked internally for LLM nodes. This approach helps avoid ambiguity in multi-agent scenarios and is not a bug or oversight reference.

If you need prompt_tokens for custom analytics, you would need to extend the workflow node execution logic to surface those details.

To reply, just mention @dosu.

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[Qmodest]

I has change question_classifier_node.py, but I can not get it in agent_node.py or tool_node.py

[Qmodest]

Add like this : return NodeRunResult(
status=WorkflowNodeExecutionStatus.FAILED,
inputs=variables,
error=str(e),
metadata={
NodeRunMetadataKey.TOTAL_TOKENS: usage.total_tokens if usage else 0,
NodeRunMetadataKey.PROMPT_TOKENS: usage.prompt_tokens if usage else 0,
NodeRunMetadataKey.COMPLETION_TOKENS: usage.completion_tokens if usage else 0,
NodeRunMetadataKey.TOTAL_PRICE: usage.total_price,
NodeRunMetadataKey.CURRENCY: usage.currency,
},
llm_usage=usage,

[Qmodest]

@dosu