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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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| name | about | title | labels | assignees |
|---|---|---|---|---|
| Feature Request | Suggest a new feature for Headroom | [FEATURE] | enhancement |
Problem Statement
A clear description of the problem you're trying to solve. Ex: "I'm always frustrated when..."
Proposed Solution
Describe the solution you'd like. Be as specific as possible.
Use Case
Explain your use case and why this feature would be valuable:
- What type of application are you building?
- How would this feature help you?
- How many tokens/cost would this save?
Alternatives Considered
Describe any alternative solutions or features you've considered.
Example API (Optional)
If you have ideas about how the API should look:
# How you'd like to use this feature
from headroom import SomeNewFeature
# Example usage
Additional Context
- Are you willing to contribute this feature?
- Any relevant links, papers, or prior art?