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Use LLM Observability Platforms
Tools like LangSmith, Braintrust, and Helicone provide trace-level observability for LLM applications. They let you inspect every prompt, response, latency, and cost in production, making debugging and optimization far easier than raw logging.
Log All LLM Inputs and Outputs
In production, log every prompt sent and every response received (with appropriate PII redaction). These logs are invaluable for debugging failures, detecting quality regressions, computing cost analytics, and building eval datasets from real traffic.
Setting Up Token Monitoring
Monitor your LLM usage to optimize costs: 1) Implement logging for all API calls, 2) Track tokens per request and response, 3) Set up alerts for unusual usage patterns, 4) Create dashboards showing cost trends, 5) Analyze which prompts are most expensive and optimize them.
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