Octopus AI Assistant integrates AI functionality directly into the Octopus Deploy interface to accelerate your DevOps workflows. Whether you’re getting started with Octopus Deploy, troubleshooting deployment failures, or optimizing existing configurations, the AI Assistant provides context-aware guidance and automation to help you work more efficiently.
The Octopus AI Assistant Alpha is a feature released to an audience who has opted-in to provide feedback. The feature is not finished or fully tested. It may not be supported through regular channels. It may change drastically or may never ship.
Core capabilities
The Octopus AI Assistant provides four main capabilities designed to support different aspects of your deployment workflow:
- Tier-0 support
- Prompt-based project creation
- Deployment failure analysis
- Best practices optimization
Combined with these features, the AI Assistant makes managing deployments easier and keeps things running smoothly.
Tier-0 support
Get instant answers to common questions about Octopus Deploy without searching through documentation. The AI Assistant draws from the complete Octopus Deploy documentation to provide natural language responses to your questions.
Example prompts:
What is a project in Octopus Deploy?How do I use runbooks?Explain the difference between environments and tenantsHow do I set up automated deployments?
This capability is particularly valuable for new team members getting started with Octopus Deploy, or when you need quick clarification on specific features without leaving your workflow.
Prompt-based project creation
Create fully configured deployment projects from simple text descriptions. Instead of manually setting up configurations, processes, and environments, describe what you want to deploy and let the AI Assistant generate a complete project using proven best practices.
Example prompts:
Create an Azure Web App project called "My Web App"Generate an AWS Lambda project with QA and Production environments
Learn more about project creation.
Deployment failure analysis
When deployments fail, get immediate analysis of what went wrong and actionable steps to resolve issues. The analyzer examines deployment logs, process configuration, and error details to provide specific troubleshooting guidance.
Example prompts:
Why did the deployment fail?Help me understand this deployment error
Learn more about deployment failure analysis.
Best practices optimization
Identify optimization opportunities and maintain healthy configurations across your Octopus Deploy instance. The advisor analyzes your setup and provides recommendations for improving scalability, reducing technical debt, and following established best practices.
Example prompts:
Find unused variables in this projectCheck for duplicate project variablesSuggest tenant tags to make tenants more manageable
Learn more about the best practices adviser.
Custom prompts for organizational needs
For teams with specific internal processes, you can enhance any AI Assistant capability with custom prompts that embed your organization’s knowledge, procedures, and support channels directly into the AI responses.
Getting started
Prerequisites
- An Octopus instance (cloud or on-premises with public accessibility)
- A Chromium-based browser (Chrome, Brave, Edge, etc.) that supports Chrome Web Store extensions
Installation
- Install the Octopus AI Assistant Chrome extension
- Navigate to your Octopus Deploy instance. You will see a new icon in the top right corner of your Chrome browser
- Click the AI Assistant icon in your browser to start using the assistant
Using with on-premises instances
For on-premises Octopus instances, ensure your server accepts HTTP requests from IP address 51.8.40.170 to enable AI Assistant functionality.
It is not possible to integrate Octopus AI Assistant with an on-premises Octopus instance that cannot accept HTTP requests from this public IP address.
We want your feedback
As part of the Alpha program, we’re actively seeking feedback on:
- What prompts you want the service to respond to
- What you would change about the service
- Whether the responses have been helpful
Alpha participants are invited to a private channel in the Octopus Community Slack for providing feedback.
FAQ
Q: What data is collected?
A: We collect prompts entered into Octopus AI Assistant. All logs are sanitized to remove personally identifiable information. We do not log:
- Prompt responses
- Sensitive values
- Octopus configurations
Q: Is my data used to train AI models?
A: No, we do not train AI models on customer data. We use the Azure OpenAI platform, and Azure does not use customer data to train models either.
Q: How do I turn off Octopus AI Assistant?
A: Disabling or uninstalling the Chrome extension will disable Octopus AI Assistant.
Q: How much does the service cost?
A: The service is free during the Alpha phase.
Q: How secure is the service?
A: Octopus AI Assistant is implemented as an external service that accesses Octopus via the API. This means Octopus AI Assistant does not have access to any sensitive values, as the API never exposes sensitive values. It also means access to the Octopus instance is limited by the existing permissions of the current user. Additionally, Octopus AI Assistant shares the same backend as the Octopus Copilot Extension, which has been audited by an independent external security team. The report is available via the trust center.
Q: Can I see the source code?
A: Yes. The Octopus AI Assistant backend source code is available from GitHub.
Q: Do I need to sign up for an account?
A: No, Octopus AI Assistant is self-contained and only requires access to an Octopus instance.
Q: Is Octopus AI Assistant a supported service?
A: No, the Octopus AI Assistant Alpha is not subject to any existing SLAs or support agreements. It is an experimental feature that may not be supported through regular channels. It may change drastically or may never ship.
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Page updated on Monday, July 14, 2025