mirror of
https://github.com/langgenius/dify.git
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8ceb1ed96f
- Add PROMPT_TOKENS and COMPLETION_TOKENS to WorkflowNodeExecutionMetadataKey - Store prompt/completion tokens in node execution metadata JSON (no schema change) - Calculate workflow-level token split by summing node executions on-the-fly - Export gen_ai.usage.input_tokens and output_tokens to enterprise telemetry - Add semantic convention constants for token attributes - Maintain backward compatibility (historical data shows null) BREAKING: None MIGRATION: None (uses JSON metadata, no schema changes)
36 lines
1002 B
Python
36 lines
1002 B
Python
"""Dify-specific semantic convention definitions."""
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class DifySpanAttributes:
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"""Attribute names for Dify-specific spans."""
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APP_ID = "dify.app_id"
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"""Application identifier."""
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TENANT_ID = "dify.tenant_id"
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"""Tenant identifier."""
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USER_TYPE = "dify.user_type"
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"""User type, e.g. Account, EndUser."""
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STREAMING = "dify.streaming"
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"""Whether streaming response is enabled."""
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WORKFLOW_ID = "dify.workflow_id"
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"""Workflow identifier."""
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INVOKE_FROM = "dify.invoke_from"
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"""Invocation source, e.g. SERVICE_API, WEB_APP, DEBUGGER."""
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INVOKED_BY = "dify.invoked_by"
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"""Invoked by, e.g. end_user, account, user."""
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USAGE_INPUT_TOKENS = "gen_ai.usage.input_tokens"
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"""Number of input tokens (prompt tokens) used."""
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USAGE_OUTPUT_TOKENS = "gen_ai.usage.output_tokens"
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"""Number of output tokens (completion tokens) generated."""
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USAGE_TOTAL_TOKENS = "gen_ai.usage.total_tokens"
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"""Total number of tokens used."""
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