Deep Agents v0.7

Deep Agents v0.7 introduces a streamlined base harness, achieving a 65% reduction in base input tokens while maintaining performance, by enhancing context engineering and configurability. This release simplifies token usage by eliminating redundant prompts, trimming tool descriptions, and making TodoListMiddleware optional, which improved efficiency without compromising results. New configurability options allow users to fully customize prompts and middleware, offering control over the harness stack, which was a popular request from users. Validation of these changes was conducted through a comprehensive eval suite across various models, showing consistent performance retention and significant token and cost reductions, particularly for gpt-5.6-luna. Additionally, filesystem optimizations improve core context management by enhancing file interaction capabilities. These updates, alongside deprecated features and new tools, are detailed in the changelog, with the new version available for installation on PyPI and npm.

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