deepagents v0.6 is about performance the first level at which we can control that is the model layer: how can you squeeze perf out of a mode…

deepagents v0.6 is about performance the first level at which we can control that is the model layer: how can you squeeze perf out of a model? tweaking prompts, tool names, and tool descriptions in accordance with the provider’s prompting guide can lead to substantial perf gains. we observed 10-20 jumps on subsets of the tau2 bench with just these tweaks alone. deepagents ships with a builtin set of profiles so that you can match the harness to the model with no extra effort @masondrxy and @Vtrivedy10 wrote a great blog on this! https://www.langchain.com/blog/tuning-deep-agents-different-models

Source: Harrison Chase (X) | 2026-05-19