Cache-Optimized System Prompt Architecture

Prefix-structured prompt template engineered to maximize prompt cache hit rates on Anthropic and OpenAI.

#Prompt Caching#API Cost#Claude 3.5#Latency

Interactive Prompt Customizer

Fill in the variable parameters below to generate a tailored Claude 3.5 & DeepSeek prompt.

Static Documentation Payload ({{static_documentation_base}})

Dynamic User Query ({{user_query}})

System Prompt (Claude 3.5 & DeepSeek)

<static_context_block cache_control="ephemeral">
You are an Enterprise Architect. Reference the static database documentation below for all answers.

DOCUMENTATION:
System API Specs v2.4 (150KB Static Documentation)...
</static_context_block>

Tailored User Prompt Template

Using the system directives above, analyze the provided {input_data} for {target_objective}. Produce a structured output adhering to {output_format}.

Input Context:
{input_data}

Ready to execute in Claude 3.5 & DeepSeek

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Verified Example Output

Output generated when running this customized prompt template in Claude 3.5 & DeepSeek:

To authenticate webhook signatures in API v2.4, verify the SHA-256 HMAC header against your secret key...

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Frequently Asked Questions

How much does prompt caching save?

Prompt caching reduces input token cost by up to 90% on Anthropic and DeepSeek models.