Conversational Memory Summarizer & Entity State Extractor

Enterprise prompt template for compressing long chat histories into 150-word summary blocks and updating persistent JSON entity states.

#Memory#Multi-Turn#Summarization#State Machine

Interactive Prompt Customizer

Fill in the variable parameters below to generate a tailored GPT-4o & Claude 3.5 prompt.

Previous Summary ({{previous_summary}})

Recent Chat Turns ({{recent_chat_messages}})

System Prompt (GPT-4o & Claude 3.5)

<system_instructions>
You are an Enterprise Memory Compression Engine. Update <conversation_summary> and extract <entity_state> JSON variables from recent chat turns.
</system_instructions>

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 GPT-4o & Claude 3.5

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Verified Example Output

Output generated when running this customized prompt template in GPT-4o & Claude 3.5:

<conversation_summary> User is building a Next.js 15 app with TypeScript, Tailwind CSS v4, and dynamic pagination. </conversation_summary> <entity_state>{"framework":"Next.js 15","styling":"Tailwind v4","pagination":true}</entity_state>

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Frequently Asked Questions

How does this prevent context overflow?

By compressing older dialogue turns into a fixed-size summary block, input token usage remains constant.