opentelemetry-llm
// OpenTelemetry instrumentation for LLM applications with distributed tracing
$ git log --oneline --stat
stars:384
forks:73
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameopentelemetry-llm
descriptionOpenTelemetry instrumentation for LLM applications with distributed tracing
allowed-toolsRead,Write,Edit,Bash,Glob,Grep
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)