GenAI Observability for Splunk

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.