PandaProbe
Trace agent runs and validate reusable fixes for failures
Observe, evaluate, and debug AI agents in production

Arize records and evaluates the behavior of AI applications and agents. Traces show the steps behind a response, while evaluations examine spans, complete traces, or sessions. Teams can compare prompts and agent configurations before adopting a change.
Production signals identify issues to investigate, and experimentation tools test a proposed adjustment. The Alyx assistant supports debugging and evaluation work alongside an engineer. Phoenix provides an open-source observability option, with open tracing standards connecting instrumentation to these workflows. A team can inspect one failed tool call, examine whether the pattern recurs, and compare an altered prompt or configuration with the existing behavior.
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