Add LLM-powered content summarization feature with litellm integratio… #2
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…n. Update search functionality to include optional summaries, enhance README with new features, and add tests for summarization service.
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This pull request introduces LLM-powered content summarization to the web crawler, allowing users to generate high-quality summaries of search results using GPT-4o-mini and other supported models. The changes update the documentation, add new dependencies, enhance the CLI workflow, and introduce new modules for summarization and improved search functionality.
LLM Summarization Feature
README.mdto announce LLM-powered summarization, document new features, configuration steps, example output, architecture, supported LLM providers, and production considerations. [1] [2]litellmas a dependency inpyproject.tomlto enable LLM integration.CLI and Workflow Enhancements
src/main.pyto prompt users for AI summaries, allow configuration of the number of summaries, and integrate the newSummarizationServicefor summarizing search results. [1] [2] [3]Search and Summarization Modules
src/search/searcher.pyimplementingWebSearcherfor robust, multi-source web search with improved RSS parsing, Google News URL resolution, and result cleaning/sorting.src/summarizer/__init__.pyto expose summarization engine components for use in the crawler.