Ship AI agents you can trust.
LLMTrace is a drop-in gateway for AI agents and LLM apps, giving teams security, reliability, and full tracing in front of OpenAI, Anthropic, or compatible providers.
Security and reliability for production AI traffic.
AI agents need more than provider logs. LLMTrace sits in the request path so teams can inspect traffic, detect risky prompts, enforce reliability controls, and prove what happened when auditors, customers, or incident responders ask.
Inline protection for agent traffic
Catch prompt injection, PII leaks, and anomalous requests before agent behaviour becomes a production incident.
SLOs, error budgets, and guardrails
Track availability, latency, and error-rate targets while rate limits and circuit breakers protect shared services.
Full-fidelity LLM tracing
Trace every agent call for latency, tokens, cost, errors, and provider behaviour so teams can debug production AI systems.
Everything to run agents in production.
LLMTrace combines security, SRE controls, and observability in one gateway so AI products can be monitored and governed from the first production request.
Drop-in AI gateway
Put LLMTrace in front of OpenAI, Anthropic, or any compatible provider by changing the base URL, without rewriting agent code.
Tamper-proof audit trail
Every request and configuration change can be written to a SHA-256 chained log and exported for compliance review.
Security enforcement workflow
Run detection in shadow mode first, review signals, then enable enforcement when the team is ready.
Role-based access
Control who can inspect traffic, review traces, manage settings, and change production configuration.
Metrics retention and export
Keep operational metrics, export audit logs, and give engineering, security, and compliance teams a shared evidence base.
Enterprise governance
Support larger teams with retention, SSO/SAML, custom SLAs, and dedicated operational support.
Live in minutes without changing the agent architecture.
The integration model is deliberately small: route traffic through LLMTrace, keep existing client code, then add security and reliability policy around the flow.
Sign up with your work email
Create the workspace and complete the business checks required for production access.
Point agents at LLMTrace
Swap the provider base URL to the LLMTrace endpoint while keeping existing OpenAI-compatible client code in place.
Watch, secure, and scale
Observe traffic live, set SLOs, review security findings, and export audit evidence when required.
Stop guessing what agents are doing.
Use LLMTrace when agents are moving from prototype to production and the organisation needs evidence, alerts, controls, and clear ownership.
Open LLMTrace to get started.
Create a workspace, review the docs, or talk to the Setloop team about deploying LLMTrace for regulated AI products.