You can only enable prompt caching if you are using LLM proxy for Anthropic models.

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How to use prompt caching

You can either use the prompt_caching feature through the LLM proxy or log those LLM requests that are cached, which will give you a better observability. 
import anthropic

client = anthropic.Anthropic(
    base_url="https://api.keywordsai.co/api/anthropic/",
    api_key="Your_Keywords_AI_API_Key",
)

message = client.messages.create(
    model="claude-3-opus-20240229",
    system=[
      {
        "type": "text",
        "text": "You are an AI assistant tasked with analyzing literary works. Your goal is to provide insightful commentary on themes, characters, and writing style.\n",
      },
      {
        "type": "text",
        "text": "<the entire contents of 'Pride and Prejudice'>",
        "cache_control": {"type": "ephemeral"}
      }
    ],
    messages=[{"role": "user", "content": "Analyze the major themes in 'Pride and Prejudice'."}]
)

print(message.content)

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How does prompt caching work?

All information is from Anthropic’s documentation. When you send a request with prompt caching enabled:
  1. The system checks if a prompt prefix, up to a specified cache breakpoint, is already cached from a recent query.
  2. If found, it uses the cached version, reducing processing time and costs.
  3. Otherwise, it processes the full prompt and caches the prefix once the response begins.
This is especially useful for:
  • Prompts with many examples
  • Large amounts of context or background information
  • Repetitive tasks with consistent instructions
  • Long multi-turn conversations
The cache has a 5-minute lifetime, refreshed each time the cached content is used.

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Prompt caching pricing for Anthropic models

ModelBase Input TokensCache WritesCache HitsOutput Tokens
Claude 3.5 Sonnet$3 / MTok$3.75 / MTok$0.30 / MTok$15 / MTok
Claude 3.5 Haiku$1 / MTok$1.25 / MTok$0.10 / MTok$5 / MTok
Claude 3 Haiku$0.25 / MTok$0.30 / MTok$0.03 / MTok$1.25 / MTok
Claude 3 Opus$15 / MTok$18.75 / MTok$1.50 / MTok$75 / MTok
Note:
  • Cache write tokens are 25% more expensive than base input tokens
  • Cache read tokens are 90% cheaper than base input tokens
  • Regular input and output tokens are priced at standard rates

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Supported models

Prompt caching is currently supported on:
  • Claude 3.5 Sonnet
  • Claude 3.5 Haiku
  • Claude 3 Haiku
  • Claude 3 Opus

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Cache Limitations

The minimum cacheable prompt length is:
  • 1024 tokens for Claude 3.5 Sonnet and Claude 3 Opus
  • 2048 tokens for Claude 3.5 Haiku and Claude 3 Haiku
Shorter prompts cannot be cached, even if marked with cache_control. Any requests to cache fewer than this number of tokens will be processed without caching.