OpenAI Responses and Lark Integration

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Automatically post summaries of OpenAI Responses in Lark channels with Latenode. Customize response logic with JavaScript and scale workflows affordably, paying only for execution time.

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OpenAI Responses

Lark

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OpenAI Responses and Lark

Create a New Scenario to Connect OpenAI Responses and Lark

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

Add the OpenAI Responses Node

Select the OpenAI Responses node from the app selection panel on the right.

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OpenAI Responses

Configure the OpenAI Responses

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

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Connect OpenAI Responses

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Run node once

Add the Lark Node

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

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Authenticate Lark

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

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Configure the OpenAI Responses and Lark 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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Set Up the OpenAI Responses and Lark 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 OpenAI Responses, Lark, 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 β€œRun once” and triggering an event to check if the OpenAI Responses and Lark integration works as expected. Depending on your setup, data should flow between OpenAI Responses and Lark (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect OpenAI Responses and Lark

OpenAI Responses + Lark + Google Sheets: This automation summarizes responses from OpenAI, then sends them to Lark as a message to a group chat, finally logging the summary and the original response into a Google Sheet.

Lark + OpenAI Responses + Jira: When a new message is received in Lark, OpenAI analyzes the message for sentiment and potential bug reports. If a bug is detected, a new issue is created in Jira.

OpenAI Responses and Lark integration alternatives

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.

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.

See how Latenode works

FAQ OpenAI Responses and Lark

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

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

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

Can I automatically post OpenAI-generated content to Lark channels?

Yes, you can! Latenode lets you automate content posting to Lark from OpenAI Responses. Benefit: instant information sharing and consistent team updates with no manual effort.

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

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

  • Generate meeting summaries and share them in Lark channels.
  • Create automated responses to common questions in Lark support groups.
  • Post AI-driven content suggestions to Lark marketing channels.
  • Translate Lark messages using OpenAI and post the translation.
  • Analyze team sentiment in Lark and trigger alerts based on AI insights.

How much OpenAI data can Latenode reliably process?

Latenode's architecture scales to handle large volumes of OpenAI data, ensuring reliable processing even for complex automation tasks.

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

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

  • Rate limits on the OpenAI API may affect processing speed.
  • Complex prompt engineering may require advanced Latenode workflow design.
  • File size limits apply when processing documents via OpenAI and sharing on Lark.

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