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jia-gao / leanctx

Drop-in prompt compression for production LLM apps. Cut your token bill 40-60% without changing your code. Python SDK, LLMLingua-2, MIT.

Why this job: topics: langgraph, langchain

What it does

Cut your input-token bill by 10–40%,without sacrificing accuracy.

Get started

pip install 'leanctx[openai,lingua]'
# or [anthropic], [gemini]
Maintenance
Active
Last commit 2 months ago
Stars
320
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v0.3.1
Released 6 months ago
Built with
Python
93% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
67% closed
1 still open
Pull requests
8 merged
0 waiting
Releases
2
2 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 93%
  • TypeScript 4%
  • JavaScript 1%
  • Dockerfile 1%

Topics

  • anthropic
  • cost-optimization
  • gemini
  • langchain
  • langgraph
  • llm
  • llm-inference
  • llmlingua
  • openai
  • prompt-compression
  • python
  • rag

Project record

  • JobAgent frameworks
  • StatusListed
  • Commits100
  • Forks7
  • Watching1
  • Stars in 28 days0
  • CreatedApr 18, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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