Harness your AI agents
Honeycomb AI Ecosystem shows you the performance and cost of every AI agent in one live view and drills straight to the conversation behind any number, so you can diagnose your whole fleet in minutes without switching tools or rebuilding a single query.
Powerful visibility into AI agent fleets
Fleet to conversation, one click
Move from a fleet-wide performance or cost number straight to the exact conversation behind it, with no bespoke queries and no manual correlation. Aggregates and individual spans are the same data, so any spike is one click from the call that caused it.
Never lose the context
Agent behavior and the system around it live in one trace, so a fleet-wide failure pattern connects to the API, database, and user session behind it. See the real blast radius of a bad deploy: which agents degraded, and which customers felt it.
No new instrumentation
AI Ecosystem builds fleet performance views by aggregating the OpenTelemetry spans you already send, so there is nothing new to instrument and no separate pipeline to stand up. If your agents power an Agent Timeline today, your fleet views are ready now, and time to value is immediate.
Feature highlights
Agent Fleet Performance
See the whole AI Agent fleet
A continuous, aggregate view of failure rates, retries, latency, and volume across every agent, with an agent list and summary metrics. It turns "which agent is degrading right now, and is it one agent or fleet-wide" into a five-minute answer instead of a bespoke query, telling a real regression from normal variance and showing blast radius when a bad update ships.
LLM Cost Tracking
Know what your agents cost
Estimated spend across the fleet, broken down by agent, model, agent-grouped-by-model, and token type, with average cost per conversation as a baseline leaders can track over time. Teams stop stitching provider consoles to traces by hand and get a defensible answer to "what is this costing us," presented honestly as an estimate from a public price table.
Agent Conversations
Drill into any agent interaction
One click from a fleet-level spike or an expensive agent down to the specific conversation on the Agent Timeline, where every LLM call, tool invocation, and handoff is laid out in order. It turns "what is expensive or broken" into "here is exactly why," without leaving Honeycomb or rebuilding a query from scratch.
Most teams don’t have an agent-governance problem; they have a visibility gap. Teams are deploying agents faster than they can see what they are doing. AI Ecosystem closes this gap with a multi-agent read on failure rates, costs, and behaviors across every agent, not just the one that happens to be on fire right now. And once something needs a closer look, the Canvas connectors put the code, the tickets, and the conversations that explain it right next to the telemetry, instead of scattered across five other tools.
Graham Siener
SVP of Product at Honeycomb
The second edition is here! Get your copy today
AI is changing the nature of software development. Observability is how you navigate this shift. Charity Majors, Liz Fong-Jones, George Miranda, and Austin Parker explain the core principles of observability and how to leverage it for your organization.
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