How to connect OpenAI GPT Assistants and Confluence
Create a New Scenario to Connect OpenAI GPT Assistants and Confluence
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a OpenAI GPT Assistants, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI GPT Assistants or Confluence will be your first step. To do this, click "Choose an app," find OpenAI GPT Assistants or Confluence, and select the appropriate trigger to start the scenario.

Add the OpenAI GPT Assistants Node
Select the OpenAI GPT Assistants node from the app selection panel on the right.

OpenAI GPT Assistants
Configure the OpenAI GPT Assistants
Click on the OpenAI GPT Assistants node to configure it. You can modify the OpenAI GPT Assistants URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Confluence Node
Next, click the plus (+) icon on the OpenAI GPT Assistants node, select Confluence from the list of available apps, and choose the action you need from the list of nodes within Confluence.

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Authenticate Confluence
Now, click the Confluence node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Confluence settings. Authentication allows you to use Confluence through Latenode.
Configure the OpenAI GPT Assistants and Confluence Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the OpenAI GPT Assistants and Confluence Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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AI Anthropic Claude 3
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Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring OpenAI GPT Assistants, Confluence, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the OpenAI GPT Assistants and Confluence integration works as expected. Depending on your setup, data should flow between OpenAI GPT Assistants and Confluence (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI GPT Assistants and Confluence
OpenAI GPT Assistants + Confluence + Slack: When a new message is created in an OpenAI GPT Assistant thread, this flow summarizes the thread using the assistant itself, creates a new page in Confluence with the summary, and then sends a message to a designated Slack channel notifying the team about the new Confluence page.
Confluence + OpenAI GPT Assistants + Jira: When a new page is created in Confluence, the content is sent to the OpenAI GPT Assistant to identify potential issues. If issues are identified, a new Jira ticket is automatically created with the details of the identified issues and a link to the Confluence page.
OpenAI GPT Assistants and Confluence integration alternatives
About OpenAI GPT Assistants
Use OpenAI GPT Assistants within Latenode to automate complex tasks like customer support or content creation. Configure Assistants with prompts and integrate them into broader workflows. Chain them with file parsing, webhooks, or database updates for scalable, automated solutions. Benefit from Latenode's no-code flexibility and affordable execution-based pricing.
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About Confluence
Automate Confluence tasks in Latenode: create pages, update content, or trigger workflows when pages change. Connect Confluence to other apps (like Jira or Slack) for streamlined project updates and notifications. Use Latenode’s visual editor and JS node for custom logic and efficient information sharing across teams.
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See how Latenode works
FAQ OpenAI GPT Assistants and Confluence
How can I connect my OpenAI GPT Assistants account to Confluence using Latenode?
To connect your OpenAI GPT Assistants account to Confluence on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI GPT Assistants and click on "Connect".
- Authenticate your OpenAI GPT Assistants and Confluence accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically document meeting summaries using OpenAI and Confluence?
Yes, you can! Latenode lets you automate summary creation and storage in Confluence. Centralize knowledge using AI and scalable workflows, saving time and improving team alignment.
What types of tasks can I perform by integrating OpenAI GPT Assistants with Confluence?
Integrating OpenAI GPT Assistants with Confluence allows you to perform various tasks, including:
- Automatically generate meeting notes and store them in Confluence.
- Create a knowledge base by extracting information from conversations.
- Use AI to answer questions based on Confluence content.
- Summarize lengthy Confluence articles using OpenAI's AI models.
- Automatically update Confluence pages with insights from OpenAI analysis.
How does Latenode enhance OpenAI GPT Assistants' data processing?
Latenode allows pre and post-processing of data with JavaScript before sending it to OpenAI, enabling complex data manipulation and filtering.
Are there any limitations to the OpenAI GPT Assistants and Confluence integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of the OpenAI API may affect the speed of processing large volumes of data.
- Complex formatting from Confluence may require custom parsing logic.
- Assistant file size limits may require optimized workflows.