Solutions
Production-grade solutions that turn our open-source packages into deployable AI systems for specific business problems. Pick one, follow the DIY tutorial to see how it's done, download the examples and deploy them on your own infrastructure — for free — or tell us which ones you want customized and deployed.
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3 solutions
vllm-agent-quality-gate-for-on-prem-smb-support-bots
An SMB running on‑premises support agents on vLLM lacks systematic regression testing after model updates or prompt changes. Manual conversation review is slow, and a bad deployment can degrade customer satisfaction before anyone notices.Automated regression testing for self‑hosted LLM agents, with CI gates that block deployment when support‑bot quality drops.
vercel-ai-gateway-agent-eval-harness-for-smb-support-bots
Small businesses deploying AI support bots lack a systematic way to catch regressions before they reach customers. Ad‑hoc manual testing and single‑metric checks miss subtle degradations in answer quality, tool‑use accuracy, and cost creep.An automated regression testing pipeline that evaluates SMB support agents against golden datasets, using Vercel AI Gateway as the LLM backbone and exporting observability to Langfuse.
databricks-agent-eval-harness-for-smb-support-bots
SMBs deploying AI support agents struggle to catch regressions before they impact customers, leading to poor responses and handoffs. Manual QA is costly and inconsistent.Automated regression testing for SMB customer support agents, running on Databricks with BrainsTrust analytics.