respan-instrumentation-semantic-kernel

Respan instrumentation plugin for Microsoft Semantic Kernel.

Semantic Kernel Python already emits OpenTelemetry spans for kernel functions and chat/text completions when its experimental diagnostics are enabled. This package activates those diagnostics, captures Semantic Kernel prompt/completion log records on the active completion span, and registers a Respan span processor that normalizes the resulting spans to the Respan/OpenTelemetry contract.

Installation

pip install respan-ai respan-instrumentation-semantic-kernel

Usage

from respan import Respan
from respan_instrumentation_semantic_kernel import SemanticKernelInstrumentor

respan = Respan(
    instrumentations=[SemanticKernelInstrumentor()],
)

Any Semantic Kernel work started after initialization is traced through the active Respan OpenTelemetry pipeline. By default the instrumentor enables Semantic Kernel's sensitive diagnostics so prompt and completion content can be attached to chat/text completion spans. Pass capture_content=False to emit model and token metadata without prompt/completion content.