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Given an input text about a specific subject like cloud infrastructure developments, the package uses a language model to identify key themes, trends, and innovative points, presenting the results in a clear, organized format. This helps users quickly grasp essential information without manually sifting through lengthy descriptions, facilitating better understanding and decision-making in technical domains.\n\n## Installation\n\nTo install the CloudInsight Extractor package, run the following command:\n\n```bash\npip install cloudinsight_extractor\n```\n\n## Usage\n\nHere is an example of how to use the `cloudinsight_extractor` function:\n\n```python\nfrom cloudinsight_extractor import cloudinsight_extractor\n\n# Example usage with default LLM7\nresponse = cloudinsight_extractor(user_input=\"Your input text here\")\nprint(response)\n```\n\n### Using a Custom LLM\n\nYou can also use a custom LLM instance from LangChain. Here are examples for different LLM providers:\n\n#### Using OpenAI\n\n```python\nfrom langchain_openai import ChatOpenAI\nfrom cloudinsight_extractor import cloudinsight_extractor\n\nllm = ChatOpenAI()\nresponse = cloudinsight_extractor(user_input=\"Your input text here\", llm=llm)\nprint(response)\n```\n\n#### Using Anthropic\n\n```python\nfrom langchain_anthropic import ChatAnthropic\nfrom cloudinsight_extractor import cloudinsight_extractor\n\nllm = ChatAnthropic()\nresponse = cloudinsight_extractor(user_input=\"Your input text here\", llm=llm)\nprint(response)\n```\n\n#### Using Google\n\n```python\nfrom langchain_google_genai import ChatGoogleGenerativeAI\nfrom cloudinsight_extractor import cloudinsight_extractor\n\nllm = ChatGoogleGenerativeAI()\nresponse = cloudinsight_extractor(user_input=\"Your input text here\", llm=llm)\nprint(response)\n```\n\n## Parameters\n\n- `user_input` (str): The user input text to process.\n- `llm` (Optional[BaseChatModel]): The LangChain LLM instance to use. If not provided, the default `ChatLLM7` will be used.\n- `api_key` (Optional[str]): The API key for LLM7. If not provided, the package will use the environment variable `LLM7_API_KEY` or a default value.\n\n## Default LLM\n\nBy default, the package uses `ChatLLM7` from the `langchain_llm7` package. You can find more information about `ChatLLM7` [here](https://pypi.org/project/langchain-llm7/).\n\n## Rate Limits\n\nThe default rate limits for LLM7 free tier are sufficient for most use cases of this package. If you want higher rate limits for LLM7, you can pass your own API key via the environment variable `LLM7_API_KEY` or directly via the `api_key` parameter. You can get a free API key by registering at [LLM7](https://token.llm7.io/).\n\n## Issues\n\nIf you encounter any issues or have suggestions, please open an issue on the [GitHub repository](https://github.com/chigwell/cloudinsight-extractor).\n\n## Author\n\n- **Eugene Evstafev**\n  - Email: hi@eugene.plus\n  - GitHub: [chigwell](https://github.com/chigwell)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchigwell%2Fcloudinsight-extractor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchigwell%2Fcloudinsight-extractor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchigwell%2Fcloudinsight-extractor/lists"}