Instrument LLM apps to capture traces for evaluation and debugging.
npx skills add https://github.com/truera/trulens --skill trulens-instrumentation
Please help me install this Agent Skill. Skill: trulens-instrumentation Source: https://github.com/truera/trulens/tree/main/skills/instrumentation Command: npx skills add https://github.com/truera/trulens --skill trulens-instrumentation
Instrument TruLens instrumentation plugs into LLM apps to capture traces for evaluation and debugging, enabling systematic analysis of prompts, models, and data flows.
Install TruLens and relevant apps, initialize a TruSession, and wrap your app with the appropriate instrumentation wrappers or decorators to start collecting traces.
High-intent search queries and answers about installing and using this skill.
You can add tracing to RAG pipelines by wrapping your application with TruLens instrumentation adapters, which automatically capture prompts, model calls, and retrieval data flows for systematic analysis.
Custom span instrumentation works by applying the @instrument decorator to Python functions, enabling fine-grained telemetry capture for specific operations like prompting and tool usage within your LLM application.
Yes, you need the trulens Python package along with optional framework adapters like trulens-apps-langchain or trulens-apps-llamaindex to plug instrumentation into your specific LLM pipelines.
Yes, TruLens instrumentation supports LangGraph pipelines alongside LangChain and LlamaIndex, automatically capturing traces to enable systematic debugging and evaluation of prompts, models, and data flows.
The best way to capture end-to-end traces is initializing a TruSession and applying auto-instrumentation wrappers to your LLM app, immediately collecting evaluation data for dashboards and response analysis.
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