# Prompt Cache Hit Rate Calculator AI Agent Connect

> Analyze LLM prompt prefix caching efficiency and performance.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_1xWOtGg1aHOAAt4TnxQgAEbghqfNC7qXXdZCiEO9/ai-agent-connect
- **Tags:** llm, caching, performance, diagnostics, tokens

## Description

This MCP server provides deterministic diagnostic tools to analyze the effectiveness of LLM prompt prefix caching. Use `analyze_cache_performance` to calculate hit rates, tokens saved, and cache efficiency. You can also use `calculate_warmup_metrics` to determine how long it takes to reach cache saturation, or `validate_cache_configuration` to check if your current TTL and cache size settings are optimal for your request patterns.

## Tools

### validate_cache_configuration


### analyze_cache_performance


### calculate_warmup_metrics


## Prompt Examples

**Prompt:** 
```
Analyze these request logs with a TTL of 300 seconds and a cache size of 1000 tokens.
```

**Response:** 
```
The analysis shows a cache hit rate of 0.45, with 450 tokens saved and a cache efficiency of 0.12.
```

**Prompt:** 
```
How long does it take to fill a 5000 token cache based on these logs?
```

**Response:** 
```
The cache reaches saturation in 1240 seconds.
```

**Prompt:** 
```
Are my current cache settings optimal for this workload?
```

**Response:** 
```
No, the current settings are not optimal. It is suggested to increase the cache size to 2500 tokens to improve the hit rate.
```

## Frequently Asked Questions

**How do I calculate my cache hit rate?**
You can use the `analyze_cache_performance` tool. It processes your request logs and returns the exact `cacheHits` and `cacheHitRate` based on your provided TTL and cache size.

**What is the purpose of the warmup metrics?**
The `calculate_warmup_metrics` tool measures the time elapsed from the first request until the cache reaches its defined token capacity.

**Can this tool help optimize my cache settings?**
Yes, the `validate_cache_configuration` tool compares your current settings against request patterns to suggest an optimal TTL and cache size.