Monitoring and Logging: Full Observability
You can't fix what you can't see. Learn to log prompts, responses, latency, and costs to tools like BigQuery or LangSmith.
Monitoring and Logging
In production, users will type things you never expected.
What to Log?
- Input Prompt (Sanitized).
- Output Response.
- Latency (ms).
- Token Usage (Input + Output count).
- Cost (Calculated based on tokens).
Where to Log?
- Google BigQuery: Excellent for analytics ("What topics do users ask about most?").
- LangSmith / Weights & Biases: Specialized tools for tracing AI chains.
- Simple Log File: JSONL file on disk (easy to grep).
Alerting
Set up alerts for:
- High Failure Rate: If 10% of calls return 500 errors.
- Safety Spikes: If many prompts start triggering Safety Filters (potential attack).
Summary
Observability separates toy demos from professional software.
Module 9 Complete! Your automation is robust. In Module 10, we lock it down: Security and Compliance.