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docs(spend_monitoring.md): cleanup doc

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Krrish Dholakia 2024-12-28 19:42:03 -08:00
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docs/my-website/docs/proxy/spending_monitoring.md
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@ -5,15 +5,15 @@ This document is a guide for using LiteLLM Proxy once you have crossed 1M+ rows
<iframe width="840" height="500" src="https://www.loom.com/embed/eafd90d5374d4633b99c441fb04df351" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
## Why is UI Usage Tracking disabled?
- Heavy database queries on `LiteLLM_Spend_Logs` (once it has 1M+ rows) can slow down your API LLM requests. **We do not want this happening**
- Heavy database queries on `LiteLLM_Spend_Logs` (once it has 1M+ rows) can slow down your LLM API requests. **We do not want this happening**
## Solutions for Usage Tracking
1. **Export Logs to Cloud Storage**
Step 1. **Export Logs to Cloud Storage**
- [Send logs to S3, GCS, or Azure Blob Storage](https://docs.litellm.ai/docs/proxy/logging)
- [Log format specification](https://docs.litellm.ai/docs/proxy/logging_spec)
2. **Analyze Data**
Step 2. **Analyze Data**
- Use tools like [Redash](https://redash.io/), [Databricks](https://www.databricks.com/), [Snowflake](https://www.snowflake.com/en/) to analyze exported logs
## Need an Integration? Get in Touch