How to connect OpenAI GPT Assistants and CloudTalk
Create a New Scenario to Connect OpenAI GPT Assistants and CloudTalk
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β 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 CloudTalk will be your first step. To do this, click "Choose an app," find OpenAI GPT Assistants or CloudTalk, 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 CloudTalk Node
Next, click the plus (+) icon on the OpenAI GPT Assistants node, select CloudTalk from the list of available apps, and choose the action you need from the list of nodes within CloudTalk.

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Authenticate CloudTalk
Now, click the CloudTalk node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your CloudTalk settings. Authentication allows you to use CloudTalk through Latenode.
Configure the OpenAI GPT Assistants and CloudTalk 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 CloudTalk 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 donβt 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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Save and Activate the Scenario
After configuring OpenAI GPT Assistants, CloudTalk, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the OpenAI GPT Assistants and CloudTalk integration works as expected. Depending on your setup, data should flow between OpenAI GPT Assistants and CloudTalk (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 CloudTalk
CloudTalk + OpenAI GPT Assistants + Slack: When a new call is registered in CloudTalk, the call transcript is sent to OpenAI GPT Assistants for summarization. The summary is then posted to a designated Slack channel for agent review.
CloudTalk + OpenAI GPT Assistants + Zoho CRM: Upon a new call in CloudTalk, the transcript is analyzed by OpenAI GPT Assistants for sentiment. The sentiment score is then used to update the corresponding lead's details in Zoho CRM for targeted follow-up actions.
OpenAI GPT Assistants and CloudTalk 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 CloudTalk
Automate CloudTalk call and SMS data within Latenode. Trigger workflows on new calls, messages, or agent status changes. Update CRMs, send alerts, or generate reports automatically. Use Latenode's visual editor and data transformation tools to customize call center automations without complex coding, and scale your workflows efficiently.
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FAQ OpenAI GPT Assistants and CloudTalk
How can I connect my OpenAI GPT Assistants account to CloudTalk using Latenode?
To connect your OpenAI GPT Assistants account to CloudTalk 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 CloudTalk accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update CloudTalk contacts based on GPT Assistant interactions?
Yes, you can! Latenode lets you use AI to enrich CloudTalk data. Automate updates, personalize support, and boost efficiency with no-code workflows and AI-driven insights.
What types of tasks can I perform by integrating OpenAI GPT Assistants with CloudTalk?
Integrating OpenAI GPT Assistants with CloudTalk allows you to perform various tasks, including:
- Automatically analyze call transcripts for sentiment and key topics.
- Trigger personalized follow-up emails based on call outcomes.
- Create new CloudTalk contacts from qualified GPT Assistant leads.
- Route calls to specific agents based on AI-driven intent analysis.
- Generate summaries of customer interactions and update contact records.
Can I use JavaScript to customize OpenAI GPT Assistants interactions in Latenode?
Yes! Latenode allows complete customization. Use JavaScript code blocks to extend OpenAI GPT Assistants and CloudTalk functionality for advanced automation scenarios.
Are there any limitations to the OpenAI GPT Assistants and CloudTalk integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex GPT Assistant setups may require advanced Latenode workflow design.
- Call data analysis is limited by the accuracy of CloudTalk's transcription service.
- High call volumes processed by GPT Assistants could impact workflow execution time.