opentelemetry-llm | babysitter | ClaudePluginHub

Skill

Community

opentelemetry-llm

From babysitter

411

Description

OpenTelemetry instrumentation for LLM applications with distributed tracing

AI Summary

Instruments LLM applications with OpenTelemetry for distributed tracing and observability.

Install

1

Run in your terminal

$

npx claudepluginhub a5c-ai/babysitter

Tool Access

This skill is limited to using the following tools:

ReadWriteEditBashGlobGrep

Supporting Assets

View in Repository

README.md

Skill Content

OpenTelemetry LLM Skill

Capabilities

Configure OpenTelemetry SDK for LLM apps
Implement LLM-specific instrumentation
Set up trace exporters (Jaeger, OTLP)
Design semantic conventions for LLM
Configure span attributes for AI workloads
Implement context propagation

Target Processes

llm-observability-monitoring
agent-deployment-pipeline

Implementation Details

Core Components

TracerProvider: SDK configuration
SpanProcessor: Batch/simple processors
Exporters: Jaeger, OTLP, Console
Instrumentation: Auto and manual

LLM Semantic Conventions

gen_ai.system (OpenAI, Anthropic)
gen_ai.request.model
gen_ai.request.max_tokens
gen_ai.response.finish_reason
gen_ai.usage.prompt_tokens

Configuration Options

Exporter selection
Sampling strategies
Resource attributes
Span limits
Context propagation

Best Practices

Consistent attribute naming
Appropriate sampling
Error handling traces
Propagate context across services

Dependencies

opentelemetry-sdk
opentelemetry-exporter-*
openinference (optional)

Links

GitHub Stats

21 forks

Updated 1 month ago

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