How can I reuse existing prompts in Python code for GCP Generative AI without sending the full prompt contents in every request

Question

With the help of proper code, can you explain how I can reuse existing prompts in Python code for GCP Generative AI without sending the full prompt contents to every request?

Answer 1

You can reuse existing prompts in GCP Generative AI by leveraging prompt tuning or prompt templates stored in a database or a configuration file, referencing them with an ID instead of sending full content in every request.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

• Prompt Storage – Saves prompts in a dictionary (PROMPT_TEMPLATES), reducing redundant API payloads.
• Dynamic Prompt Retrieval – Retrieves stored prompts using an identifier (prompt_id).
• Parameterization – Supports dynamic content replacement via .format(**kwargs).
• Efficient API Calls – Sends only the necessary information to GCP Generative AI.
• Scalability – Can be extended to use a database or configuration file instead of a dictionary.

Hence, using prompt templates stored locally or in a database allows efficient reuse of existing prompts while reducing API request payload size.

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