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Documentation Index

Fetch the complete documentation index at: https://www.adaline.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

Deployment environments in Adaline are isolated containers for specific prompt versions. They allow you to safely manage different versions of your prompts across stages like development, staging, and production — each integrated independently into your AI applications or CI/CD pipelines. Environments are owned and maintained at the project level. In other words, all the prompts within a project share the same environments. This is because each project is akin to an AI agent, and each environment is a separate, isolated instance of that agent.

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Create a new environment

To create a new environment, click Create a new environment in the Deploy pillar: Creating a new deployment environment Give your environment a descriptive name: Renaming a deployment environment When you create a new environment, the content of the currently selected deployed environment is transferred to it. This is why you will see a new space with Undeployed changes — these represent the prompt version ready to be deployed to the new environment.

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View all environments

Click All environments to see every environment configured for your project: Viewing all deployment environments From this view you can create additional environments, switch between them, or compare deployments across environments.

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Delete an environment

To delete an environment, click the minus sign next to its name: Deleting a deployment environment
Deleting an environment also deletes all deployments within that environment across all prompts in the project. Any API or SDK calls targeting this environment will fail after deletion. This action cannot be undone.

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Next steps

Deploy Your Prompt

Ship prompts to your configured environments.

Configure Webhooks

Set up real-time notifications for deployments.