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https://github.com/langgenius/dify.git
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22c8d8d772
- Add PromptGenerationTraceInfo trace entity with operation_type field - Implement telemetry for rule-generate, code-generate, structured-output, instruction-modify operations - Emit metrics: tokens (total/input/output), duration histogram, requests counter, errors counter - Emit structured logs with model info and operation context - Content redaction controlled by ENTERPRISE_INCLUDE_CONTENT env var - Fix user_id propagation in TraceTask kwargs - Fix latency calculation when llm_result is None No spans exported - metrics and logs only for lightweight observability.
34 lines
879 B
Python
34 lines
879 B
Python
from enum import StrEnum
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class EnterpriseTelemetrySpan(StrEnum):
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WORKFLOW_RUN = "dify.workflow.run"
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NODE_EXECUTION = "dify.node.execution"
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DRAFT_NODE_EXECUTION = "dify.node.execution.draft"
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class EnterpriseTelemetryCounter(StrEnum):
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TOKENS = "tokens"
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INPUT_TOKENS = "input_tokens"
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OUTPUT_TOKENS = "output_tokens"
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REQUESTS = "requests"
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ERRORS = "errors"
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FEEDBACK = "feedback"
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DATASET_RETRIEVALS = "dataset_retrievals"
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class EnterpriseTelemetryHistogram(StrEnum):
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WORKFLOW_DURATION = "workflow_duration"
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NODE_DURATION = "node_duration"
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MESSAGE_DURATION = "message_duration"
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MESSAGE_TTFT = "message_ttft"
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TOOL_DURATION = "tool_duration"
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PROMPT_GENERATION_DURATION = "prompt_generation_duration"
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__all__ = [
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"EnterpriseTelemetryCounter",
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"EnterpriseTelemetryHistogram",
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"EnterpriseTelemetrySpan",
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]
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