Exporting Prompts

After creating a desired prompt and deploying it, you’ll need to add it to your codebase to use in development or production.

We have 2 primary suggested flows for being able to export your prompts:

1. SDK-based export (with caching)
2. YAML file export

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SDK-based export

You can fetch your deployed prompts using our GET Configurations API. This method allows you to dynamically retrieve the latest version of your prompts directly from HoneyHive.

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Basic SDK Usage

Here are examples of how to use the API in Python and TypeScript.

The env and name parameters are optional below.

• Fetching all prompts: If only the project is specified, all prompts in the project will be returned.
• Fetching prod deployed version: By setting env to operations.env.PROD (Python) or Env.Prod (JS/TS), the prompt deployed to the prod environment will be returned.
• Fetching prompts deployed to other environments: Specifying a particular environment will fetch the prompt for that specific environment.
• Fetching a specific prompt: Specifying a name will fetch that exact prompt.

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Reduce unnecessary SDK Calls with Caching

To reduce the number of API calls and improve performance, we recommend implementing a caching mechanism. Here are examples using LRU (Least Recently Used) cache in both Python and TypeScript:

By implementing caching, you can significantly reduce the number of API calls while still ensuring that your application has access to up-to-date prompt configurations.

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YAML file export

Another approach to exporting prompts is by saving them as YAML files and including them in your project. This method is useful when you want to version control your prompts with your codebase or when you prefer to have the prompt configurations directly in your codebase.

We recommend running this export flow in your production build process.

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Exporting to YAML

Here’s how you can export a prompt configuration to a YAML file using the HoneyHive SDK:

These functions will fetch the prompt configuration using the HoneyHive SDK and save it as a YAML file. You can later import it elsewhere for making calls to an LLM.

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Reading YAML Configurations

Once you have exported your prompt configurations to YAML files, you can easily load them in your application. Here’s how you can read the YAML files:

These functions allow you to load the YAML configuration files back into your application, making it easy to use the exported prompt configurations in your code.

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Conclusion

Whether you choose the SDK-based approach for real-time updates or the YAML file method for static configurations, HoneyHive provides flexible options for integrating your prompts into your application. Choose the method that best fits your development workflow and application requirements.