I Open-Sourced My Ollama Logging Proxy
📰 Dev.to · Becher Hilal
Learn how to use an open-sourced logging proxy to track usage data for cloud LLM APIs and optimize costs
Action Steps
- Build a logging proxy using the open-sourced Ollama code
- Configure the proxy to track token counts, latency, and cost per request
- Test the proxy with a sample LLM API request
- Apply the proxy to your production environment to monitor usage data
- Compare the usage data to optimize costs and improve performance
Who Needs to Know This
Developers and DevOps engineers working with cloud LLM APIs can benefit from using this logging proxy to monitor and optimize their usage
Key Insight
💡 Using a logging proxy can help you track and optimize your cloud LLM API usage, reducing costs and improving performance
Share This
📊 Monitor and optimize your cloud LLM API usage with an open-sourced logging proxy! 💡
Key Takeaways
Learn how to use an open-sourced logging proxy to track usage data for cloud LLM APIs and optimize costs
Full Article
When you use a cloud LLM API, you get usage data for free. Token counts, latency, cost per request,...
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