Add Prompt Caching Support to Reduce API Costs

[Kurry]

Add Prompt Caching Support to Reduce API Costs

Overview

I implemented prompt caching in my fork based on Anthropic's recent updates and saw significant cost reductions from $30-50/day to $1-5/day in API usage.

Implementation Details

The key changes are based on this upstream commit:
anthropics/claude-quickstarts@be847c4

The main implementation can be found here:
https://github.com/anthropics/anthropic-quickstarts/blob/main/computer-use-demo/computer_use_demo/loop.py#L116

Benefits

• Cost Reduction: 90-95% reduction in API costs
• Performance: Faster response times due to cached prompts
• Efficiency: Better handling of repetitive tasks and system prompts

Technical Changes Required

1. Add the anthropic-beta: prompt-caching-2024-07-31 header
2. Structure system prompts and tools with cache_control
3. Implement cache tracking for performance monitoring

Example Implementation

system_content = [
    {
        "type": "text",
        "text": "Base system instructions...",
    },
    {
        "type": "text",
        "text": "Large context or tool definitions...",
        "cache_control": {"type": "ephemeral"}
    }
]

Notes

• My branch is currently ahead of the main, making direct PR difficult
• The repo seems relatively inactive, so I am sharing as a ticket for future reference
• Implementation follows Anthropic's official prompt caching guidelines

References

• Anthropic Prompt Caching Documentation
• Prompt Caching Cookbook Example