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
| Pricing Model | Free | Free | Custom Pricing | Free, Paid |
| Free Credits | ||||
| Key Features |
|
|
|
|
| Pros |
|
|
|
|
| Cons |
|
|
|
|
| Best For |
|
|
|
|
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
Top free alternatives to Frugon
A cooperative gate for shell commands that AI agents run, providing previews, backups, policy enforcement, and audit for tools like Claude Code and Cursor.
Agentcard provides agent-friendly card issuing and payment infrastructure for AI agents, enabling 5-minute setup and autonomous purchases.
Oodle AI provides agent observability with fast trace search, S3-based storage, and out-of-the-box insights to detect silent failures in AI agents.
Jacquard is a small programming language designed for running, reviewing, and trusting programs written by machine-learning models and reviewed by people.
Autonomous security testing platform that finds and fixes access control vulnerabilities in live AI-built apps.
AI-powered social listening tool that monitors Reddit, X, LinkedIn, and 10+ other platforms, filters mentions with AI, and delivers them to your stack via API, Slack, or webhooks.
A unified AI gateway providing access to 300+ leading models through one EU-hosted, GDPR-compliant API with an OpenAI SDK-compatible interface.
Best alternatives AI Tools to Frugon
DeepSQL is an AI DBA that monitors workloads, optimizes slow queries, and cuts database costs via a self-hosted agent with MCP and Slack integration.
Open-source platform for real-time AI agent security, auditing skills and runtime with community-driven threat rules.
OpenSEO is an open source SEO platform that integrates with AI agents via MCP to provide real SEO data for keyword research, competitor analysis, backlinks, and more.
SureWire Beta is an AI agent validation platform that helps ensure your AI agents are safe and reliable through comprehensive testing.
A deadline-aware LLM router that reduces AI inference costs by automatically finding cheaper service tiers within a user-specified time window.
Run multiple AI coding agents in parallel on isolated git worktrees with a full editor and built-in developer tools.
An open-source cost controller for AI agent loops that stops loops when converged and rolls back before degradation.