LangChain
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Deep Agents v0.7

LangChain ships Deep Agents v0.7, achieving a 65% reduction in base input tokens at comparable performance. Key changes include removing the hidden base system prompt, trimming built-in tool descriptions by 43%, and making TodoListMiddleware opt-in after evals showed it didn't meaningfully improve results. The release also adds full configurability over the middleware stack — users can now override defaults like SummarizationMiddleware with custom thresholds and prompts. Filesystem tools received optimizations including overwrite-on-write behavior, paginated read reporting, and truncation-safe grep/glob. Validated across four models (GPT, Gemini, Claude Sonnet, Claude Opus), the new harness generally reduces tokens and cost while holding reward steady.

    #llm#ai-agents#prompt-engineering#langchain#context-engineering
Jul 29•6m read time•From langchain.com
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Leaner base harnessMore configurabilityFilesystem performanceBreaking changesTry itReferences
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LangChain

Langchain is a publication focusing on programming languages, language design, and compiler developm...

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