Feat/deepresearch doc

[alcholiclg]

Change Summary

Add chinese doc for deep research project.

Related issue number

Checklist

• The pull request title is a good summary of the changes - it will be used in the changelog
• Unit tests for the changes exist
• Run pre-commit install and pre-commit run --all-files before git commit, and passed lint check.
• Documentation reflects the changes where applicable

[gemini-code-assist]

Summary of Changes

Hello @alcholiclg, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces new, comprehensive Chinese documentation for the DeepResearch project. The documentation aims to provide users with a clear understanding of the project's core principles, including its basic and extended versions, and guides them through the installation, configuration, and usage with practical code examples. This addition significantly enhances the project's accessibility and ease of adoption for Chinese-speaking users.

Highlights

• New Documentation: Added comprehensive Chinese documentation for the DeepResearch project, detailing its principles, usage, installation, and code examples for both basic and extended versions.
• DeepResearch Project Overview: The documentation introduces the DeepResearch project, which offers Agent workflows for complex task solving, particularly for generating in-depth multimodal research reports in scientific research and other fields. It covers two versions: a lightweight, efficient basic version and a deep, comprehensive extended version.
• Usage and Configuration: Detailed instructions are provided for installing the DeepResearch project, configuring environment variables for search engines (like Exa or SerpApi), and setting up OpenAI-compatible API endpoints for the extended version.
• Code Examples: Ready-to-use Python code examples are included for quickly starting both the basic and extended DeepResearch workflows, demonstrating how to integrate chat clients and search engines.

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[gemini-code-assist]

Code Review

本次PR为DeepResearch项目添加了中文文档，内容清晰、结构合理，对项目的原理、使用方式和代码示例都进行了详细说明。文档质量很高，仅发现一处关于模型名称的笔误，修正后即可合并。