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Author:
Omar Y. Abdi
Summary:
Prompt and context compression for AI agents to reduce LLM token costs - typically 0-54% fewer tokens on real high-entropy content, up to 95% on repetitive logs/fixtures (best-case ceiling), reversible via CCR. Note: furl-ctx is not furl, the unrelated URL-manipulation library.
Latest version:
1.4.0
Required dependencies:
tiktoken
Optional dependencies:
furl-ctx
|
google-re2
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mcp
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mypy
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pre-commit
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pytest
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pytest-asyncio
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pytest-cov
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pyyaml
|
ruff
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tree-sitter
|
tree-sitter-language-pack
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