Bento

Production infrastructure for AI agents

Bento is a closed-loop platform for teams running AI agents in production, addressing silent regressions caused by prompt changes, model swaps, and new tools. It consolidates traces, evaluations, and fixes in one place so that learnings from resolved failures feed back into the agent rather than being lost across separate tools.

The platform provides OpenTelemetry-native tracing across frameworks, plain-English regression signals trained on your own traces, English-language alerts grouped into incidents, and behavioral drift detection. It also includes auto-authored skills, subagents, and tools that move from candidate to promoted status, a living record of failure patterns and outcomes, versioned and diffable prompts, skills, and models, and evaluations run offline, in CI, and on live traffic.

Bento is aimed at teams shipping and operating agentic systems who need production monitoring and continuous improvement. The pages describe a demo-based access path and a blog, but do not specify free plans, trials, editions, or seat- and usage-based packaging.

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