Monitoring Costs and Latency
Set up tools and practices to track LLM API costs and application latency, enabling continuous optimization.
Crucial for LLM App Health
Deploying Large Language Model (LLM) applications to production comes with unique challenges. Two critical aspects to continuously monitor are operational costs and application latency.
Monitoring helps you ensure your LLM app runs smoothly, efficiently, and within budget, delivering a great user experience.
Understanding LLM API Costs
Most LLM providers charge based on token usage. A token is a piece of a word, like 'hel' or 'lo'. You typically pay for:
- Input Tokens: The text you send to the LLM (your prompt and context).
- Output Tokens: The text the LLM generates as its response.
Prices vary by model and token type, so tracking usage is key to managing expenses.
All lessons in this course
- Prompt Engineering for Efficiency
- Batching and Asynchronous Operations
- Monitoring Costs and Latency
- Choosing the Right Model for the Task