How to connect Bitrix24 and OpenAI Responses
Create a New Scenario to Connect Bitrix24 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 Bitrix24, triggered by another scenario, or executed manually (for testing purposes). In most cases, Bitrix24 or OpenAI Responses will be your first step. To do this, click "Choose an app," find Bitrix24 or OpenAI Responses, and select the appropriate trigger to start the scenario.

Add the Bitrix24 Node
Select the Bitrix24 node from the app selection panel on the right.

Bitrix24
Configure the Bitrix24
Click on the Bitrix24 node to configure it. You can modify the Bitrix24 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 Bitrix24 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 Bitrix24 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 Bitrix24 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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Bitrix24
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Bitrix24, 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 Bitrix24 and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Bitrix24 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 Bitrix24 and OpenAI Responses
Bitrix24 + OpenAI Responses + Slack: When new leads are created in Bitrix24, send the lead information to OpenAI for analysis. Then, post a summary of the analysis to a dedicated Slack channel.
Bitrix24 + OpenAI Responses + Google Sheets: When new leads are created in Bitrix24, send the lead information to OpenAI to generate a personalized response. Log both the original lead information and the OpenAI-generated response into a Google Sheet for review.
Bitrix24 and OpenAI Responses integration alternatives
About Bitrix24
Automate Bitrix24 tasks in Latenode: update deals, manage contacts, and track tasks without manual work. Connect Bitrix24 CRM data to other apps, like email or spreadsheets, for streamlined workflows. Latenode’s visual editor and flexible code options make complex Bitrix24 automation simple and scalable, avoiding per-step fees.
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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 Bitrix24 and OpenAI Responses
How can I connect my Bitrix24 account to OpenAI Responses using Latenode?
To connect your Bitrix24 account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Bitrix24 and click on "Connect".
- Authenticate your Bitrix24 and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize new Bitrix24 leads using OpenAI Responses?
Yes, you can! Latenode's visual editor makes it easy to trigger OpenAI Responses to generate summaries of new leads in Bitrix24, improving lead qualification efficiency.
What types of tasks can I perform by integrating Bitrix24 with OpenAI Responses?
Integrating Bitrix24 with OpenAI Responses allows you to perform various tasks, including:
- Generating personalized responses to customer inquiries in Bitrix24.
- Automatically classifying and tagging new leads based on OpenAI analysis.
- Creating summaries of customer interactions for better context.
- Analyzing sentiment from customer feedback within Bitrix24.
- Automating task assignment based on AI-driven lead scoring.
Can I use JavaScript code within my Bitrix24 OpenAI Responses workflow?
Yes! Latenode allows you to add JavaScript code blocks to customize your Bitrix24 and OpenAI Responses integrations for advanced logic.
Are there any limitations to the Bitrix24 and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of the Bitrix24 and OpenAI Responses APIs may affect performance.
- Complex prompt engineering for OpenAI Responses may require advanced knowledge.
- Handling very large volumes of data may require optimization for performance.