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- Web page reader component based on BeautifulSoup (bs4)
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- Image reader component based on OCR technology
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- CSV format reader component
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- New tool plugins
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- Arxiv paper retrieval and query tool plugin
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- Jina AI intelligent search tool plugin
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- Added standard LLM output parser for reasoning-type models
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- Added standard logger sink for agents, LLMs, and tools
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- Added retry function annotation
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### Changed
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- Improved project configuration experience, with the following key optimizations:
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- Project configuration now supports global PACKAGE path replacement. For details, see the PACKAGE_PATH_INFO parameter in the sample project's config.toml file.
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- Supports user-defined configuration extensions and YAML function extensions. For details, see the EXTENSION_MODULES parameter in the sample project's config.toml file.
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- Updated custom_key.toml.sample with more detailed parameter content.
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- Submit a set of commonly used model configuration YAML files. For details, see the llm directory in the sample project.
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- YAML configuration now supports user-defined loading of attributes using environment variables and extension functions. For details, see the api_key comments in the llm sample of the sample project.
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- Simplified LLM configuration. By default, it reads the global default_llm configuration. For details, see the default_llm.toml configuration in the llm sample of the sample project.
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- Simplified component extension configuration. The module part in the component metadata can be left blank, and it will default to searching for a Python extension file with the same name in the same directory.
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- Optimized project startup process, with the following key improvements:
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- Improved LLM component startup registration. Only LLM instances that are dependent on by components like agents and tools are started.
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- Enhanced error info during project startup.
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- Other changes:
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- Renamed LocalMemoryStorage to RamMemoryStorage for memory storage objects.
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### Note
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- Added image_build image packaging files and tutorial documents for application projects.
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- Added CONTRIBUTING.md documentation for the project.
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- Standardized PR and ISSUE templates for the project.
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- Added a sample practice for agents based on multimodal capabilities. For details, see the examples/multimodal_app directory in the project.
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- Our project was included in the awesome-deepseek-integration list released by DeepSeek in February.
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