How to connect Discourse and OpenAI Responses
Create a New Scenario to Connect Discourse and OpenAI Responses
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 Discourse, triggered by another scenario, or executed manually (for testing purposes). In most cases, Discourse or OpenAI Responses will be your first step. To do this, click "Choose an app," find Discourse or OpenAI Responses, and select the appropriate trigger to start the scenario.

Add the Discourse Node
Select the Discourse node from the app selection panel on the right.

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

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OpenAI Responses
Authenticate OpenAI Responses
Now, click the OpenAI Responses node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Responses settings. Authentication allows you to use OpenAI Responses through Latenode.
Configure the Discourse and OpenAI Responses 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 Discourse and OpenAI Responses 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.

JavaScript
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AI Anthropic Claude 3
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OpenAI Responses
Trigger on Webhook
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Discourse
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Discourse, OpenAI Responses, 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 Discourse and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Discourse and OpenAI Responses (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Discourse and OpenAI Responses
Discourse + OpenAI Responses + Slack: When a new topic is created in Discourse, a summary is generated using OpenAI. This summary is then posted to a designated Slack channel.
Discourse + OpenAI Responses + Gmail: When a new post is created in Discourse, the post's content is analyzed by OpenAI. If the post contains a question, OpenAI drafts a reply that is then sent as a Gmail draft to the Discourse poster.
Discourse and OpenAI Responses integration alternatives
About Discourse
Integrate Discourse with Latenode to automate community management. Trigger actions based on new topics or replies. Automatically analyze sentiment, flag urgent issues, and update your CRM. Build custom moderation flows with Latenode's no-code tools, AI nodes, and flexible JavaScript functions, scaling support without manual effort.
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About OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results – all without code.
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See how Latenode works
FAQ Discourse and OpenAI Responses
How can I connect my Discourse account to OpenAI Responses using Latenode?
To connect your Discourse account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Discourse and click on "Connect".
- Authenticate your Discourse and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize new Discourse topics using OpenAI?
Yes, using Latenode! Trigger workflows on new Discourse topics, then use OpenAI Responses to summarize them. Benefit: quickly grasp key discussion points without reading every post.
What types of tasks can I perform by integrating Discourse with OpenAI Responses?
Integrating Discourse with OpenAI Responses allows you to perform various tasks, including:
- Automatically categorize new Discourse topics based on their content.
- Generate personalized welcome messages for new Discourse users.
- Summarize lengthy Discourse threads for quick overviews.
- Detect and flag inappropriate content in Discourse discussions.
- Create an AI-powered chatbot to answer common Discourse questions.
How does Latenode handle Discourse rate limits when using OpenAI Responses?
Latenode allows you to manage API call frequency using built-in delay and error handling, ensuring smooth operation without exceeding Discourse or OpenAI limits.
Are there any limitations to the Discourse and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex workflows may require JavaScript knowledge for advanced customization.
- Rate limits imposed by Discourse and OpenAI Responses can affect performance.
- The accuracy of OpenAI Responses depends on the quality of input data.