AgentTel

关于

AgentTel addresses a critical gap in modern observability by transforming standard telemetry—traces, metrics, and logs—into structured, actionable context for AI agents. While traditional tools are optimized for human interpretation via dashboards, AgentTel provides the behavioral context, topology awareness, decision metadata, and an actionable interface that AI agents need to autonomously diagnose, reason about, and resolve production incidents without human intervention. It enables full-stack observability, covering JVM backends and browser frontends, and includes specialized instrumentation for GenAI workloads.

主要功能

• Frontend Telemetry for browser-side observability, anomaly detection, and cross-stack correlation
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• Instrumentation Agent for IDE-assisted setup and configuration generation
• Enriched Telemetry with Topology, Baselines, Decisions, Anomalies, and SLOs
• Agent Interface Layer (MCP Server) for AI interaction and remediation
• GenAI Instrumentation for observability of AI/ML workloads on the JVM

使用案例

• Enabling proactive detection and remediation of anomalies in user journeys and backend operations
• Providing AI agents with full-stack observability context from JVM and browser applications
• Automating production incident diagnosis and resolution using AI agents