Instrument GenAI agents with OpenTelemetry semantic conventions for LLM trace data.
npx skills add https://github.com/kagenti/kagenti --skill genai
Please help me install this Agent Skill. Skill: genai Source: https://github.com/kagenti/kagenti/tree/main/.claude/skills/genai Command: npx skills add https://github.com/kagenti/kagenti --skill genai
This Skill provides standardized methods for observing and instrumenting Generative AI agents, ensuring consistent telemetry and trace data for analysis.
Use the genai:semantic-conventions skill to instrument your LLM calls with OpenTelemetry.
High-intent search queries and answers about installing and using this skill.
To implement GenAI observability, use this skill to apply OpenTelemetry semantic conventions, ensuring standardized LLM trace data collection for analysis and monitoring within agent platforms.
Tracing LLM interactions within agentic systems requires standardized telemetry; this skill enables detailed LLM observability by facilitating consistent trace data collection for decision-making analysis.
Yes, standard observability platforms are supported by using this skill to instrument LLM calls with OpenTelemetry, ensuring generated traces adhere to defined naming and attribute schemas.
You need OpenTelemetry instrumentation for Generative AI agents when you require consistent telemetry and trace data for analysis, particularly when an LLM is used for decision-making within agentic systems.
Yes, GenAI LLM trace data collection requires adherence to defined OpenTelemetry semantic conventions, using specific naming and attribute schemas to ensure consistent telemetry across observability platforms.
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