[Feature req] Agents: comparing fine-tuning techniques

[hinthornw]

Common question: I'm fine-tuning for an agent. What split of data should I prioritize collecting, and in what mixture?

• Fewer long trajectories?
• More short trajectories / single-step function calls?
• If there is conversation in the mix, how much should I include? And then do i include the full trajectory flattened out? or remove for later calls?