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added ethics and model card
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ETHICS.md

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# Ethics Statement
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Anyfile-Agent helps users explore their local documents with the assistance of an external language model. I designed the software with the following principles:
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- **User Control and Privacy** – Files remain on the local machine. Processing uses open‑source libraries and the configured language model API. No uploaded content is sent elsewhere by the application.
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- **Transparency** – Indexing creates temporary representations of the documents (e.g., embeddings, OCR text) so the agent can search them. These artifacts are stored locally and users may delete them at any time.
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- **Responsible Use** – The agent can generate or execute SQL queries over the user’s data. Only read‑only commands are permitted, but users should review outputs before acting on them. Do not rely on the agent for legal, medical, or safety‑critical decisions.
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- **Bias and Limitations** – Responses may reflect biases of the underlying language model or the provided data. Users should validate critical information from original sources.
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- **Open Development** – The project is MIT licensed so that others may inspect, modify, and improve the code. Contributions must follow these ethical guidelines.
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By using this project you agree to handle any personal or sensitive data responsibly and comply with applicable laws and terms of the language model service.

MODEL_CARD.md

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# Model Card: Anyfile-Agent
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Anyfile-Agent is a retrieval-based assistant that helps users search and analyze their own documents with the aid of a large language model.
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## Model Details
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- **Type**: Orchestrates document indexing and retrieval with calls to an external LLM (Google Gemini via `langchain-google-genai`).
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- **Languages**: Primarily English; effectiveness may vary for other languages depending on the language model.
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- **License**: MIT (see [LICENSE](LICENSE)).
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- **Source**: <https://github.com/codinglabsong/anyfile-agent>
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## Intended Use
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- **Primary uses**: Searching personal documents, extracting structured summaries, and answering questions via natural language.
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- **Users**: Individuals or teams who want a local assistant for their files. Requires a valid Google Gemini API key.
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- **Out-of-scope uses**: Do not use the agent for generating legal, medical, or safety‑critical advice. It should not be used to process data that violates privacy regulations or third‑party terms of service.
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## Data and Training
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Anyfile-Agent does not train a new model. It indexes user-provided documents locally and sends text chunks to a Google Gemini model for embedding and chat responses. The quality of answers depends on that service and the content of the uploaded data.
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## Evaluation
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The repository provides unit tests for the indexing utilities and retrieval tools (`pytest` in the `tests/` directory). Functionality was also validated with example documents as shown in [README.md](README.md).
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## Ethical Considerations
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See [ETHICS.md](ETHICS.md) for guidance on responsible use and limitations. Users are responsible for complying with applicable laws and the terms of the language model service.
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## Limitations
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- The LLM may generate incorrect or biased outputs.
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- OCR and parsing may be imperfect for some file formats.
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- SQL execution is limited to read-only queries in DuckDB and may fail for complex schemas.
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## Citation
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If you use this project in your research or product, please cite it as:
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```
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@software{anyfile_agent,
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author = {codinglabsong},
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title = {Anyfile-Agent},
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year = {2025},
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url = {https://github.com/codinglabsong/anyfile-agent}
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}
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```

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