Lark and OpenAI ChatGPT Integration

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Automate Lark messages using OpenAI ChatGPT on Latenode. Summarize feedback, classify requests, and draft responses affordably with usage-based pricing. Scale easily by adding custom logic.

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Lark

OpenAI ChatGPT

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Lark and OpenAI ChatGPT

Create a New Scenario to Connect Lark and OpenAI ChatGPT

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 Lark, triggered by another scenario, or executed manually (for testing purposes). In most cases, Lark or OpenAI ChatGPT will be your first step. To do this, click "Choose an app," find Lark or OpenAI ChatGPT, and select the appropriate trigger to start the scenario.

Add the Lark Node

Select the Lark node from the app selection panel on the right.

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Lark

Configure the Lark

Click on the Lark node to configure it. You can modify the Lark URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Lark

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Connect Lark

Sign In

Run node once

Add the OpenAI ChatGPT Node

Next, click the plus (+) icon on the Lark node, select OpenAI ChatGPT from the list of available apps, and choose the action you need from the list of nodes within OpenAI ChatGPT.

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Lark

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OpenAI ChatGPT

Authenticate OpenAI ChatGPT

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

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OpenAI ChatGPT

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Sign In

Run node once

Configure the Lark and OpenAI ChatGPT Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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OpenAI ChatGPT Oauth 2.0

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The action ID

Run node once

Set Up the Lark and OpenAI ChatGPT 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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Save and Activate the Scenario

After configuring Lark, OpenAI ChatGPT, 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 Lark and OpenAI ChatGPT integration works as expected. Depending on your setup, data should flow between Lark and OpenAI ChatGPT (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Lark and OpenAI ChatGPT

Lark + OpenAI ChatGPT + Google Sheets: When a new message is received in a Lark group chat, the content is sent to ChatGPT for summarization. The summary is then added as a new row in a Google Sheets spreadsheet for tracking.

Lark + OpenAI ChatGPT + Jira: When a new message is received in a Lark group chat, the message is sent to ChatGPT to generate a summary of user feedback. This summary is then used to automatically create a new issue in Jira.

Lark and OpenAI ChatGPT integration alternatives

About Lark

Use Lark within Latenode to centralize team comms & automate notifications based on workflow triggers. Aggregate messages, streamline approvals, and post updates to specific channels. Benefit from Latenode's visual editor and logic tools for advanced routing that keeps everyone informed and aligned.

About OpenAI ChatGPT

Integrate ChatGPT into Latenode for automated content generation, sentiment analysis, and smart replies. Create workflows that analyze text, classify data, and personalize customer interactions. Combine AI power with Latenode's flexibility: orchestrate complex processes, manage data flow, and connect to any app via API—all without code.

See how Latenode works

FAQ Lark and OpenAI ChatGPT

How can I connect my Lark account to OpenAI ChatGPT using Latenode?

To connect your Lark account to OpenAI ChatGPT on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Lark and click on "Connect".
  • Authenticate your Lark and OpenAI ChatGPT accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically summarize Lark meeting transcripts with OpenAI?

Yes, you can! Latenode enables this automation with a visual interface and code blocks. Automatically extract key insights and action items from every meeting effortlessly.

What types of tasks can I perform by integrating Lark with OpenAI ChatGPT?

Integrating Lark with OpenAI ChatGPT allows you to perform various tasks, including:

  • Generate meeting summaries directly within Lark channels.
  • Create automated chatbot responses for common inquiries.
  • Translate Lark messages into multiple languages using AI.
  • Analyze team sentiment from Lark conversations.
  • Categorize and route support tickets based on content.

How does Latenode help me manage Lark and OpenAI ChatGPT connections?

Latenode provides a visual editor for building complex automations, monitoring execution, and handling errors gracefully without manual coding.

Are there any limitations to the Lark and OpenAI ChatGPT integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Rate limits imposed by Lark and OpenAI APIs may affect high-volume workflows.
  • Complex prompt engineering for ChatGPT may require some experimentation.
  • Handling large files or extensive data processing can increase workflow execution time.

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