Frugon
Frugon is a free, open-source LLM cost analyzer that identifies where your LLM bill leaks by analyzing your call logs locally.
Frugon
What is Frugon?
Frugon vs Similar AI Tools
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How to use Frugon?
- 1Install Frugon via pipx, pip, or uv.
- 2Use 'frugon capture' to start a local proxy and capture LLM calls into a JSONL log file.
- 3Run 'frugon analyze <your-log-file>' to view cost analysis and routing recommendations.
- 4Optionally use --measure to sample quality with your own API keys.
Frugon Key Features
- Fully local cost analysis with no network calls
- Captures LLM call logs via a local proxy shim
- Analyzes JSONL logs in OpenAI request/response format
- Provides routing recommendations to optimize model choice
- Optional quality measurement with --measure flag
- Generates sharable reports in HTML or Markdown
Frugon Use Cases
- Agent builders with high GPT-4o costs
- AI dev teams looking to reduce monthly LLM bills
- RAG & support systems where final calls can be cheaper
- Data-ETL pipelines with repetitive extraction tasks
- Indie hackers extending runway by cutting model costs
Frugon Pricing & Free Credits
Frugon currently operates on a Free model.
This tool is completely free to use
Frugon Pros & Cons
Pros
- 100% free and open-source
- Data never leaves your machine, ensuring privacy
- Fast analysis even on large logs (>100k records)
- Clear actionable routing recommendations with savings estimates
Cons
- Requires command-line familiarity to install and use
- Does not automatically route calls; provides one-time analysis
- Quality measurement requires API keys and costs for sample calls
- Limited to models present in its pricing database
What is Frugon best for?
- Developers and engineering teams seeking to reduce LLM expenses
- Organizations handling high-volume LLM calls with repetitive patterns
Frugon FAQ
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