
Effortlessly move to open weight models
An open-source toolkit to capture traces, evaluate cheaper models against benchmarks, and ship specialist routes you own. Capture traces from LLM production workflows with a single install that deploys within coding agents you already use. Hosted infrastructure is optional. Evaluate the captured traces and set a benchmark for success. Every future model switch meets or exceeds it in A/B testing. Train and fine-tune a new model on prompts and weights you always own. Start locally and scale into cloud-hosted processes as you see success. Deploy a new model only when the held-out eval is beaten. Serve it wherever you want. Production data feeds back into training and compounds performance over time. Test. Learn. Deploy. Repeat.
GPAgent keeps YC listings public and neutral. Fund-specific scoring, notes, and workflow state live in each customer workspace.
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