Lark and OpenAI Responses Integration

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Automatically summarize Lark messages and extract key action items using OpenAI Responses, then post summaries back to Lark for quick team alignment. Latenode's visual editor and affordable execution-based pricing make this advanced workflow accessible.

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Lark

OpenAI Responses

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Lark and OpenAI Responses

Create a New Scenario to Connect Lark and OpenAI Responses

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

Add the first node โ€“ 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 Responses will be your first step. To do this, click "Choose an app," find Lark or OpenAI Responses, 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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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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Run node once

Add the OpenAI Responses Node

Next, click the plus (+) icon on the Lark 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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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.

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Configure the Lark 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.

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Set Up the Lark 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 donโ€™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 Responses, and any additional nodes, donโ€™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 โ€œRun onceโ€ and triggering an event to check if the Lark and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Lark 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 Lark and OpenAI Responses

Lark + OpenAI Responses + Google Sheets: When a new message is posted in a Lark group chat, it's sent to OpenAI to generate a response. The original message and OpenAI's response are then added as a new row to a Google Sheet for record-keeping and analysis.

Lark + OpenAI Responses + Jira: Upon receiving a new message in a Lark group chat, the message is sent to OpenAI to detect if it contains a bug report. If a bug report is detected, a new issue is automatically created in Jira.

Lark and OpenAI Responses 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 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 โ€“ all without code.

See how Latenode works

FAQ Lark and OpenAI Responses

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

To connect your Lark account to OpenAI Responses 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 Responses accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically summarize Lark messages with OpenAI?

Yes, you can! Latenode's visual editor makes it easy to trigger OpenAI Responses to summarize new Lark messages, keeping your team informed without reading every detail.

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

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

  • Automatically translate Lark messages into multiple languages.
  • Generate summaries of lengthy Lark conversations using AI.
  • Create personalized welcome messages for new Lark channel members.
  • Analyze sentiment in Lark messages to identify urgent issues.
  • Route complex Lark inquiries to specialized OpenAI-powered chatbots.

HowdoIautomaticallycreateLarkmeeting summariesusingOpenAI?

Latenode lets you trigger OpenAI Responses after Lark meetings to generate summaries. This saves time and ensures key insights are shared efficiently.

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

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

  • Complex workflows with very high data volumes might require optimization.
  • OpenAI Responses' usage is subject to their API rate limits and usage policies.
  • Custom JavaScript code execution requires familiarity with the Latenode environment.

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