How to connect Chatwork and OpenAI Responses
Create a New Scenario to Connect Chatwork and OpenAI Responses
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 Chatwork, triggered by another scenario, or executed manually (for testing purposes). In most cases, Chatwork or OpenAI Responses will be your first step. To do this, click "Choose an app," find Chatwork or OpenAI Responses, and select the appropriate trigger to start the scenario.

Add the Chatwork Node
Select the Chatwork node from the app selection panel on the right.


Chatwork

Configure the Chatwork
Click on the Chatwork node to configure it. You can modify the Chatwork URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OpenAI Responses Node
Next, click the plus (+) icon on the Chatwork 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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OpenAI Responses

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.
Configure the Chatwork 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.
Set Up the Chatwork 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 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.

JavaScript
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AI Anthropic Claude 3
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OpenAI Responses
Trigger on Webhook
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Chatwork
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Chatwork, OpenAI Responses, 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 Chatwork and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Chatwork 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 Chatwork and OpenAI Responses
Chatwork + OpenAI Responses + Google Sheets: Whenever a new message is posted in a Chatwork room, the message is sent to OpenAI for summarization. The summary, along with the original message details, is then added as a new row in a Google Sheet.
Chatwork + OpenAI Responses + Jira: When a new message is sent in Chatwork, OpenAI analyzes the message for potential bug reports. If a bug is detected, a new issue is created in Jira automatically.
Chatwork and OpenAI Responses integration alternatives

About Chatwork
Use Chatwork with Latenode to automate team notifications and tasks. Send messages based on triggers from your CRM, database, or other apps. Latenode's visual builder simplifies creating complex workflows. Reduce manual updates, keep your team informed, and improve response times by integrating Chatwork into automated processes.
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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.
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See how Latenode works
FAQ Chatwork and OpenAI Responses
How can I connect my Chatwork account to OpenAI Responses using Latenode?
To connect your Chatwork account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Chatwork and click on "Connect".
- Authenticate your Chatwork and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize Chatwork messages with OpenAI?
Yes, you can! With Latenode, build workflows to summarize Chatwork messages using OpenAI Responses. Automate insights and save time using our no-code editor and advanced AI capabilities.
What types of tasks can I perform by integrating Chatwork with OpenAI Responses?
Integrating Chatwork with OpenAI Responses allows you to perform various tasks, including:
- Analyze Chatwork messages for sentiment and urgency.
- Generate automatic replies to common Chatwork inquiries.
- Create summaries of Chatwork discussions for reporting.
- Translate Chatwork messages into different languages.
- Extract key information from Chatwork conversations using AI.
Can I filter specific Chatwork messages before sending them to OpenAI?
Yes, Latenode lets you filter Chatwork messages based on keywords, users, or time, ensuring only relevant data is sent to OpenAI.
Are there any limitations to the Chatwork and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Chatwork and OpenAI Responses APIs may apply.
- Very large volumes of Chatwork data can increase processing time.
- Complex prompt engineering in OpenAI requires careful design.