Enables AI assistants to analyze OpenReplay session recordings for user behavior patterns, problem detection, and actionable insights through session search, journey analysis, and AI-powered summaries.
Enables AI to automatically perform Root Cause Analysis for app issues (e.g., sessions not recording, heatmap empty, replica drift) by querying logs, MongoDB, Shopify, and rendering rrweb replays.
Enables searching and analyzing Sentry issues, events, and traces via natural language, providing tools for error investigation and distributed tracing.
Enables natural language querying and analysis of OpenTelemetry traces, metrics, and logs stored in Elasticsearch/OpenSearch, allowing AI assistants to investigate performance issues, find root causes, and explore system behavior.
Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.
