How to Trace LangChain and LlamaIndex Applications with OpenObserve
Blog post from OpenObserve
LangChain and LlamaIndex applications benefit significantly from distributed tracing and observability as they grow beyond single API calls into multi-step pipelines. OpenLLMetry offers an efficient solution by integrating with the OpenTelemetry SDK and OpenObserve to provide detailed visibility into the execution of LangChain and LlamaIndex applications without altering the framework code. This setup captures every execution stage as an OpenTelemetry span, enabling developers to identify performance bottlenecks and debug issues effectively. By leveraging OpenLLMetry, users can track LLM-specific data, such as prompt and completion tokens, which are crucial for understanding cost per request and debugging prompt regressions. OpenObserve's trace explorer presents these spans in a waterfall view, allowing for easy identification of performance issues. Additionally, OpenObserve's integration with OpenTelemetry ensures a vendor-neutral, scalable solution that handles logs, metrics, and traces within a single platform, making it ideal for comprehensive observability of LLM workloads.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| OpenTelemetry | 55 | 1,197 | 139 | 44 | +92% |
| LLM | 36 | 5,932 | 1,046 | 223 | -2% |
| Observability | 23 | 4,496 | 812 | 176 | +40% |
| Vector Search | 6 | 1,739 | 413 | 146 | -27% |
| RAG | 3 | 941 | 216 | 85 | -48% |
| Data Pipeline | 1 | 770 | 196 | 80 | +5% |
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