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This commit prepares Headroom for public open source release with comprehensive documentation, licensing, and community infrastructure. License & Legal: - Add Apache 2.0 LICENSE file - Add NOTICE file with third-party attributions - Add SECURITY.md for vulnerability reporting Community: - Add CONTRIBUTING.md with contribution guidelines - Add CODE_OF_CONDUCT.md (Contributor Covenant) - Add GitHub issue templates (bug report, feature request) - Add pull request template Documentation: - Update README.md with compelling value proposition - Add docs/getting-started.md - Add docs/proxy.md for proxy server documentation - Add docs/transforms.md for transform reference - Add docs/api.md for API reference - Add examples/README.md Package Infrastructure: - Add headroom/py.typed for PEP 561 compliance - Add headroom/cli.py for CLI entry point - Add .github/workflows/ci.yml for CI pipeline - Add .github/workflows/publish.yml for PyPI publishing - Update pyproject.toml with proper metadata New Features: - Add multi-provider support (Google, Cohere, LiteLLM, OpenAI-compatible) - Add universal tokenizer registry with multiple backends - Add model registry with pricing and context limits - Add production proxy server with caching and rate limiting Code Quality: - Fix 83 lint issues via ruff auto-fix - Fix version consistency (benchmarks 0.1.0 → 0.2.0) - Add skip decorators for optional dependency tests
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43 lines
1.2 KiB
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Headroom
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Copyright 2025 Headroom Contributors
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This product includes software developed by the Headroom Contributors.
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Third-Party Licenses
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====================
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This software uses the following third-party libraries:
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tiktoken
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--------
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Copyright (c) 2022 OpenAI, Shantanu Jain
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Licensed under the MIT License
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https://github.com/openai/tiktoken
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Pydantic
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--------
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Copyright (c) 2017 to present Pydantic Services Inc. and individual contributors
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Licensed under the MIT License
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https://github.com/pydantic/pydantic
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sentence-transformers (optional dependency)
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-------------------------------------------
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Copyright 2019 Nils Reimers
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Licensed under the Apache License 2.0
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https://github.com/UKPLab/sentence-transformers
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Note: Some pretrained sentence-transformer models may have additional licensing
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restrictions based on their training data. Please verify model-specific licenses
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before commercial use.
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FastAPI (optional dependency)
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-----------------------------
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Copyright (c) 2018 Sebastián Ramírez
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Licensed under the MIT License
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https://github.com/tiangolo/fastapi
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NumPy (optional dependency)
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---------------------------
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Copyright (c) 2005-2024, NumPy Developers
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Licensed under the BSD 3-Clause License
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https://github.com/numpy/numpy
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