open_deep_research
Understand max_researcher_iterations in Open Deep Research. Learn how this parameter limits supervisor loop tool calls and forces termination for efficient research management.
How to Migrate from Legacy graph.py or multi_agent.py in Open Deep ResearchEasily migrate from legacy graph.py or multi_agent.py in Open Deep Research. Learn how to update imports, refactor state, and centralize configuration for a smoother transition.
How to Customize Research Brief Generation from User Messages in Open Deep ResearchCustomize research brief generation in Open Deep Research by modifying prompts, swapping them at runtime, adjusting model settings, or post-processing output. Learn how to tailor brief creation.
How Token Limit Exceeded Handling Works in Final Report GenerationLearn how the open deep research framework handles token limit exceeded errors by automatically reducing max_tokens for seamless final report generation across top AI providers.
How the clarify_with_user Phase Works in Open Deep ResearchUnderstand the clarify_with_user phase in Open Deep Research. Learn how it ensures sufficient context or asks clarifying questions before starting research, streamlining your workflow.
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