In-house LLM observability involves using existing logging and monitoring infrastructure, such as Splunk or Elastic, and open-source tools to instrument AI applications by recording prompts, outputs, and custom metrics like token counts and error rates.

Authors

• Person: Not available Organization: TTMS
  LLM Observability: How to Monitor AI When It Thinks in Tokens | TTMS

Sources

• LLM Observability: How to Monitor AI When It Thinks in Tokens | TTMS ttms.com TTMS via serper

Referenced by nodes (2)

• LLM observability concept
• Elastic entity