Issue Detection
Monitor production traces for quality, cost, latency, and tool use, and detect issues in agent outputs and trajectories.
Agents need supervision.
Monitor and evaluate production behavior, prevent issues before they reach users, and continuously optimize quality, cost, and latency.
Evaluation
Replay production traces to compare models, prompts, and tools on issue rate, cost, and latency.
Active Prevention
Intercept agents mid-run and resolve reliability issues before they affect users or downstream applications.
Agentic Optimization
Automatically investigate issues, test fixes, and recommend changes to prompts, models, tools, and the agent harness.
Issue detection in real time
Blue Guardrails analyzes every production agent run, detecting issues such as hallucinations, erroneous tool calls, and deviations from the system prompt. Track issue rates over time and inspect individual traces with clear labels and explanations.
Compare agent configurations on production traces
Test different LLMs, reasoning settings, and system prompts using a selected sample of production traces. Compare issue rate, latency, token consumption, and cost, then inspect individual conversations to see how each setup behaves.
Adapt to your use case
Define custom issue labels and add domain context so detection reflects what reliability means for your application. Reduce false positives and focus on the failures most relevant to your users and downstream applications.
Automatically steer your agents
Detect issues while agents run and return contextual feedback directly to them. Correct the response or steer the next step before the issue reaches users or downstream applications.
Turn production issues into better agents
Set a goal for the optimization agent. It uses the production conversations already captured in Blue Guardrails to investigate failures, test potential fixes when allowed, and return evidence-backed recommendations for prompts, models, tools, and the agent setup.
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Frequently Asked Questions
Get answers to common questions about building and operating reliable AI agents.
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