OpenAI GPT Assistants and Lark Integration

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OpenAI GPT Assistants

Lark

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OpenAI GPT Assistants and Lark

Create a New Scenario to Connect OpenAI GPT Assistants and Lark

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 OpenAI GPT Assistants, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI GPT Assistants or Lark will be your first step. To do this, click "Choose an app," find OpenAI GPT Assistants or Lark, 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.

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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.

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Run node once

Add the Lark Node

Next, click the plus (+) icon on the OpenAI GPT Assistants 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 GPT Assistants 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 GPT Assistants 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 GPT Assistants, 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 “Run once” and triggering an event to check if the OpenAI GPT Assistants and Lark integration works as expected. Depending on your setup, data should flow between OpenAI GPT Assistants 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 GPT Assistants and Lark

Lark + OpenAI GPT Assistants + Google Sheets: When a new message arrives in a Lark group chat, the OpenAI GPT Assistant summarizes the conversation. Key data from the summary is then logged into a Google Sheet for analysis.

Lark + OpenAI GPT Assistants + ClickUp: When a new message is posted to Lark group chat, the OpenAI GPT Assistant analyzes it to determine if a task should be created in ClickUp. If the Assistant determines action is required, it creates a ClickUp task with details generated by the Assistant.

OpenAI GPT Assistants and Lark 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.

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 GPT Assistants and Lark

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

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

Can I automatically post GPT Assistant summaries to Lark?

Yes, you can! Latenode allows you to trigger Lark messages with GPT Assistant output. Benefit: instantly share AI insights with your team, improving collaboration and response times.

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

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

  • Send GPT Assistant summaries directly to Lark channels for review.
  • Create Lark tasks based on action items identified by your GPT Assistant.
  • Automatically update Lark documents with information from GPT Assistant responses.
  • Trigger GPT Assistant runs when new messages appear in specific Lark channels.
  • Use GPT Assistants to classify and route Lark messages to relevant teams.

Can I use custom prompts within the Latenode OpenAI GPT Assistants integration?

Yes! Latenode provides full prompt control, allowing you to tailor GPT Assistant behavior for precise, automated responses within your Lark workflows.

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

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

  • Complex GPT Assistant logic might require JavaScript for optimal customization.
  • Large file attachments in Lark may impact workflow processing speed.
  • Rate limits from OpenAI and Lark APIs apply and can affect high-volume workflows.

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