GenAI Observability for Splunk provides comprehensive monitoring for LLM and GenAI applications. Track token usage, latency, costs, and errors across OpenAI, Anthropic, Langchain, and other AI providers. Key Features: - Real-time monitoring of LLM calls, RAG pipelines, and AI agents - Token usage tracking with cost estimation - Latency analysis with P50, P95, P99 percentiles - Error detection and alerting - Pre-built dashboards for immediate insights - Python SDK for easy instrumentation - Support for OpenAI, Anthropic, Langchain, and more Use Cases: - Monitor production AI applications - Optimize token usage and reduce costs - Debug slow or failing LLM calls - Track AI spend by model, workflow, or user - Ensure SLA compliance for AI services This app includes ready-to-use dashboards, lookups with model pricing, and a lightweight Python SDK that instruments your code with simple decorators.