Introducing Morph Reflexes. AI observability is measuring the wrong thing. Agents fail long before they throw errors. They start looping. Users gets angry. Jailbreaks happen. Reflexes are fast, small models that catch signals in agent convos and run on 100% of prod

Frontier-model LLM-as-judge works for offline evals, but it’s too slow and expensive to run on every turn. Reflexes detect behavioral signals at scale like frustration, loops, jailbreaks, and confusion. Track them over time, across thousands or millions of conversations.

Reflexes are built to run on 100% of production amd run in under 90ms Add more Reflexes to the same request with near-zero additional latency How? We utilize shared backbone, multi head inference with a modern LLM morphllm.com/blog/reflex-inf…

LLM-as-judge works for offline evals. It does not work for every production turn. Reflexes are for companies that care about Agent Experience Use it in a Grafana dashboard, Slack app, CLI, MCP, etc... Realtime API starts at $0.00025/event Batch API starts at $0.00001/event