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Use the prompt editor to write a standalone prompt, pass test inputs, and check the response before you create a prompt deployment.

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Overview

You start in the Prompts list, create a prompt, and open the editor. From there, you can add messages, work with prompt inputs, adjust editor settings, and click Run to test the prompt inside the dashboard. The in-editor Run action is for testing. It is separate from calling a prompt through the public API.

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How do I create a prompt?

Open Prompts in the sidebar. Click Create Prompt. Enter a name for the prompt. If your workspace uses categories, you can also choose a category before you save. Click Create Prompt again to open the prompt editor. You can also start from a template. Open Prompts > Templates, choose Use template, preview the messages, then name the new prompt and create it in this workspace. The Prompts list also shows a few popular marketplace templates at the top.

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How do I add and edit prompt messages?

Open the prompt in the editor. In the prompt configuration area, click Add Message. Choose the message content you want the model to receive. Keep the instructions short and direct when you’re testing a new prompt. Edit existing messages in the same prompt area until the prompt behaves the way you want. If you want the prompt to accept dynamic values, add variables in your message content using the same variable format used elsewhere in the editor, such as {{text}}. For vision-capable models, user messages can also include an image URL. Click the image icon on the message and paste a public image URL.

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How do I work with inputs?

When your messages include variables, click Inputs in the editor header. Use the input values sheet to enter test values for each variable used by the prompt. Update the values any time you want to test a different input without changing the prompt messages themselves. These input values are for editor testing. They help you run the prompt with realistic sample data before you create a prompt deployment.

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How do I test a prompt in the editor?

After you add your messages and any input values, click Run. Fetch Hive sends the current prompt configuration to the model and shows the result in the response area of the editor. Use this step to check the output before you save a version or create a prompt deployment. If the result is not what you want, update the messages or inputs and run it again.

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What else can I configure in the prompt editor?

The prompt editor includes additional configuration areas beyond the message list. Depending on the prompt and provider, you may see model settings, response format controls, tools, evaluations, and other editor options. If a saved prompt uses a retired model, the editor shows a model warning and test runs are blocked with model_deprecated. Choose a current model before running or publishing the prompt again. For Anthropic Claude models, the model parameters include Prompt Cache. Leave it Disabled for normal one-off runs, choose 5 minutes for repeated runs that reuse the same prompt context in a short window, or choose 1 hour when follow-up calls may happen after a longer pause. Fetch Hive applies this as Anthropic prompt caching on stable prompt prefixes only. Use these controls when you need to refine how the prompt runs in the editor.

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How do I save and reuse a prompt as a template?

Open a prompt in the editor, open the menu beside the prompt name, and choose Save as template. Enter a template name and description. Both fields are required. The saved template is immediately available to everyone in your account, across workspaces. Turn on Submit to Marketplace if you also want Fetch Hive staff to review it for the public marketplace. Your private account template is still saved immediately. Fetch Hive creates a separate review copy and removes connected accounts, private tools, and custom model settings. A pending or rejected review copy is never shown in the template gallery; approval publishes it as a global template. Open Prompts > Templates to browse your account templates and approved global marketplace templates in one list. Use the category chips to narrow the list. Choose Use template to name the new prompt, choose its category, and install it in the current workspace. See also: Publishing and Versioning and Run with API