Introduction
Why agent reliability matters
As AI agents have become more autonomous and multi-step in nature, their failure modes have become increasingly complex.
One bad action can expose data or cost real money, and guardrails must trigger before the tool executes. You need targeted visibility into agent behavior, especially when agents take real-world actions.
Debug agents faster
Traditional trace views collapse under complex workflows. Leverage intuitive interfaces to get the observability you need into how your agent made it's decisions.
Graph view
Renders every branch, decision, and tool call so you see the exact path an agent takes, and where it veers off, at a glance.
Ecosystem integrations
Galileo's flexible platform integrates with your favorite tools, and leverages open standards like open telemetry to let you bring your preferred frameworks, models, and more.
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Insights engine
Continuous agent insights
Our AI Insights dashboard, built into graph view, pinpoints what went wrong, why it happened, and what to do next. Automatically surfaces high-impact issues across your traces.
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Session-level summaries
Quick context around agent behavior
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Actionable suggestions
Concrete fixes for tool errors, broken flows, and performance issues
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Linked evidence
Jump straight to the trace or span where it happened
Galileo’s Insights Engine makes it easy for you to debug your agents, with whichever interface makes sense for your system.
Trusted by enterprises, loved by developers
Luna-2
Continuous evaluations
Our Luna-2’s SLMs are purpose-built for always-on evaluations.
Run 10–20 sophisticated metrics simultaneously with sub-200 ms latency, even at 100% sampling rates. Enable low-cost production monitoring and real-time guardrailing for every AI system, without the GPT-sized bill.
Multiturn agents never follow a single script; your tests can’t either. Here’s how Luna-2 fixes it:
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Agents can accomplish the same outcome in many valid ways, so “golden flows” alone don’t cut it
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Span-level checks miss slow-burn issues like drift, redundancy, or unsatisfied goals across the dialogue
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Luna-2’s session metrics (conversation quality, intent change, efficiency, and compound-request resolution) capture the whole journey, not just a single turn
“The tools Galileo provides through its platform ensure that people can build the agentic systems they need, scale those systems, and do so in a way that not only improves user experience but also helps grow the companies and brands behind these products.”
Mikiko Chandrasekhar
Staff Developer Advocate, MongoDB
“We’re excited that Galileo brings deep expertise in defining and recommending metrics for agents—helping us build systems that are more predictable and reliable.”
Giovanna Carofiglio
Distinguished Engineer & Senior Director, Outshift by Cisco
Debug agents faster
Traditional trace views collapse under complex workflows. Leverage intuitive interfaces to get the observability you need into how your agent made it's decisions.
Timeline view
See execution flow and bottlenecks, and eliminate guesswork of where your agent gets stuck.
Conversation view
Experience exactly what your users see. Debug from the user's perspective, not just the system's.
Ready to start?
Get started in minutes with our free developer tier, or explore our enterprise features in a guided demo.
Flexible pricing
Start for free and upgrade when you're ready to customize your evaluations and scale your AI applications to production.
Learn more
See how companies like Twilio and Comcast are achieving reliable AI with Galieo - and explore the platform’s capabilities for yourself.