AI AGENT OBSERVABILITY
AI agent trace analyzer for security, reliability, and cost
What is Flint?
Flint scans an AI agent trace to find leaked secrets, repeated tool calls, duplicate LLM calls, bloated context, error tails, and token cost waste. It redacts supported secrets before storage, then returns a 0–100 health score and a shareable report.
What does Flint check in an agent trace?
- Security
Leaked credentials, PII, and insecure URLs.
- Reliability
Repeated tool loops and traces that end in an error.
- Cost
Duplicate LLM calls, repeated prompt bloat, and oversized context.
AI agent trace analyzer FAQ
What does an AI agent trace analyzer find?
Flint checks agent traces for leaked secrets and PII, repeated tool calls, error tails, duplicate LLM calls, bloated context, and token cost waste.
Does Flint store secrets from an uploaded trace?
No. Flint detects and redacts supported secret patterns before the trace reaches storage, then reports the matching rule without preserving the secret value.
How does Flint calculate agent cost waste?
Flint uses measured token counts when the trace provides them and clearly labels estimates when usage data is missing. It flags duplicate calls and repeated prompt bloat as avoidable waste.
Sources and methodology
- OpenAI Agents SDK tracing guide for trace spans, tool calls, and sensitive trace data.
- OWASP Top 10 for Agentic Applications 2026 for agent security risk context.
- Flint source code for the implemented checks and scoring behavior.