Honeycomb Agent and LLM Observability
Product
Observability for LLM applications and AI agents, tracing model calls, tool invocations, and agent handoffs.
- Currently Offered
Observability for LLM applications and AI agents, tracing model calls, tool invocations, and agent handoffs.
Honeycomb Agent and LLM Observability reveals agent behavior in production through Agent Timeline, which orders user inputs, model calls, tool invocations, and agent handoffs as they happened. Teams debug nondeterministic failures, trace long multi-turn conversations, and separate problematic behavior with distributed tracing built for AI workflows.
The offering adds SLO-based monitoring tuned for LLM reliability, token usage and health signals, plus BubbleUp anomaly detection and a natural-language query assistant. Engineers improve agent quality with real production data instead of relying on traditional testing that cannot cover generative behavior.
Agent observability service that records every production agent trace and finds silent failures without sampling.
Monitoring platform that detects silent failures in production AI agents.
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AI-powered application performance monitoring with distributed tracing, metrics, and real-time analytics for full-stack visibility.
Analytics that ranks AI agent journey failures by business impact and tests fixes.
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Open-source AI observability and evaluation toolkit for Jupyter, local scripts, and LLM applications.
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An AI site reliability engineer that verifies production changes, investigates regressions, and proposes root-cause fixes.
Agent observability service that records every production agent trace and finds silent failures without sampling.
Traces and quality metrics for agent web calls.
AgentOps is an observability platform for tracing, debugging, replaying, and monitoring AI agent activity.
Monitoring platform that detects silent failures in production AI agents.
Opik is Comet's open-source AI observability and LLM evaluation platform for agentic applications.
Evidently AI's ML Monitoring is an open-source Python library for ML and LLM model monitoring and evaluation.
Dash0 is an OpenTelemetry-native observability platform for engineering teams, unifying logs, metrics, traces, and profiles with usage-based pricing.
AI-native observability platform that autonomously detects, diagnoses, and fixes production errors.
AI-powered application performance monitoring with distributed tracing, metrics, and real-time analytics for full-stack visibility.
Enterprise AI observability and evaluation platform for testing, monitoring, and improving AI agents and applications.
Analytics that ranks AI agent journey failures by business impact and tests fixes.
Portkey AI provides a gateway platform for managing and observing large language model deployments.
Open-source AI observability and evaluation toolkit for Jupyter, local scripts, and LLM applications.
HyperProbe AI On-Call Agent is the production debugging agent by HyperProbe.
AI Control Plane monitors, evaluates, and governs enterprise AI agents across their lifecycle.
Kubit is an agent analytics platform that maps user behavior and intent to LLM traces for debugging AI agents.
An AI site reliability engineer that verifies production changes, investigates regressions, and proposes root-cause fixes.