pleasedodisturb / awesome-llm-token-optimization
A curated list of strategies, tools, papers, and resources for reducing LLM token costs and improving efficiency in production.
Why this job: name: awesome; says: curated list; topics: awesome-list, awesome
What it does
Building with LLMs is expensive. An agent processing 10 reasoning steps can consume 50K-100K tokens per task. This list collects everything you need to cut costs by 80-99% without sacrificing quality.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 16 days ago
- Stars
- 119
- +7 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Shell
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 23 merged
- 5 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Shell 100%
Topics
- ai
- awesome
- awesome-list
- claude
- context-window
- cost-optimization
- generative-ai
- inference-optimization
- kv-cache
- large-language-models
- llm
- llm-cost
Project record
- JobLists and guides
- StatusListed
- Commits32
- Forks40
- Watching0
- Stars in 28 days+29
- CreatedApr 15, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026