chore: import upstream snapshot with attribution
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# Copyright (c) Microsoft. All rights reserved.
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from typing import TYPE_CHECKING, Any
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from opentelemetry import trace
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from semantic_kernel.utils.feature_stage_decorator import experimental
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from semantic_kernel.utils.telemetry.model_diagnostics.gen_ai_attributes import (
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OPERATION,
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TOOL_CALL_ID,
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TOOL_DESCRIPTION,
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TOOL_NAME,
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)
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from semantic_kernel.utils.telemetry.model_diagnostics.model_diagnostics_settings import ModelDiagnosticSettings
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if TYPE_CHECKING:
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from semantic_kernel.functions.kernel_function import KernelFunction
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# The operation name is defined by OTeL GenAI semantic conventions:
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# https://opentelemetry.io/docs/specs/semconv/gen-ai/gen-ai-spans/#execute-tool-span
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OPERATION_NAME = "execute_tool"
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# To enable these features, set one of the following environment variables to true:
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# SEMANTICKERNEL_EXPERIMENTAL_GENAI_ENABLE_OTEL_DIAGNOSTICS
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# SEMANTICKERNEL_EXPERIMENTAL_GENAI_ENABLE_OTEL_DIAGNOSTICS_SENSITIVE
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MODEL_DIAGNOSTICS_SETTINGS = ModelDiagnosticSettings()
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@experimental
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def are_sensitive_events_enabled() -> bool:
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"""Check if sensitive events are enabled.
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Sensitive events are enabled if the diagnostic with sensitive events is enabled.
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"""
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return MODEL_DIAGNOSTICS_SETTINGS.enable_otel_diagnostics_sensitive
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def start_as_current_span(
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tracer: trace.Tracer,
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function: "KernelFunction",
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metadata: dict[str, Any] | None = None,
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):
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"""Starts a span for the given function using the provided tracer.
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Args:
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tracer (trace.Tracer): The OpenTelemetry tracer to use.
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function (KernelFunction): The function for which to start the span.
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metadata (dict[str, Any] | None): Optional metadata to include in the span attributes.
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Returns:
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trace.Span: The started span as a context manager.
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"""
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attributes = {
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OPERATION: OPERATION_NAME,
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TOOL_NAME: function.fully_qualified_name,
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}
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tool_call_id = metadata.get("id", None) if metadata else None
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if tool_call_id:
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attributes[TOOL_CALL_ID] = tool_call_id
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if function.description:
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attributes[TOOL_DESCRIPTION] = function.description
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return tracer.start_as_current_span(f"{OPERATION_NAME} {function.fully_qualified_name}", attributes=attributes)
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