Visual development and debugging environment
LangGraph Studio, a key component of Open Deep Research, provides developers with an intuitive visualization interface. Through local deployment, users can access the Studio UI in the browser (default address https://smith.langchain.com/studio) to realize the graphical management and monitoring of the research report generation process.
The deployment process requires pre-setting various API key environment variables, including TAVILY_API_KEY, ANTHROPIC_API_KEY and OPENAI_API_KEY and other key credentials. The system provides a comprehensive guide to building the development environment: Mac users can use the uv installer for quick deployment, while Windows users need to install the relevant dependency packages step by step via pip.
LangGraph Studio not only simplifies the configuration process of study report generation, but also provides API documentation (/docs endpoint) and real-time debugging functions. Developers can directly observe the execution status of each module, make parameter adjustments, and instantly view the effect of study report generation on this interface, dramatically improving study efficiency.
This answer comes from the articleOpen Deep Research: LangChain's Open Source Intelligent Assistant for Deep ResearchThe
