How do I connect the Video Summarizer GPT to ChatGPT?

Below is some guidance on connecting your Video Summarizer GPT with ChatGPT using n8n:

1. Verify Data Flow Between Nodes

Ensure that the output of your Video Summarizer GPT node is formatted correctly so that ChatGPT (or a Chat Trigger node acting as your entry point) can consume it. In many workflows that involve a custom GPT or similar integration, the output must include all the fields required by the receiving node. For example, if the ChatGPT integration expects a chat prompt in a field (like chatInput), confirm that your Video Summarizer node provides that field.

2. Use Metadata for Context (When Embedding a Chat Trigger)

If you are embedding a chat interface or need to pass contextual data (such as user IDs, session data, etc.), you can include extra details via the metadata field. For instance, when using the embedded chat setup:

JAVASCRIPTCopied
createChat({
	webhookUrl: 'YOUR_PRODUCTION_WEBHOOK_URL',
	metadata: {
		'YOUR_KEY': 'YOUR_DATA'
	}
});

This metadata appears in the node’s output and can be used in subsequent steps of your workflow.

3. Maintain Consistent Session Management

When connecting nodes like a custom GPT (as your Video Summarizer) to ChatGPT functionality, it’s often useful to keep session data consistent. If you are using Chat Trigger nodes with session loading options, consider connecting the same memory node to both the Chat Trigger and your ChatGPT node. To do this:

• Set the Chat Trigger’s Load Previous Session option to From Memory.
• Attach a Window Buffer Memory node to the Memory connector of both nodes.
• Configure the memory node to automatically take the session ID from a previous node, so that context is preserved between interactions.

4. Test Your API Calls and Integration

If you run into issues (for example, if you’ve seen errors resembling “No prompt specified” or authentication errors), test each API call individually. Use tools like Postman to verify that the authentication settings and parameters are correct. The OpenAI documentation suggests using the Test button next to each action to check the input and output of API calls.

5. Troubleshooting Common Pitfalls

• Null or Missing Data: If you get errors because expected fields (like chatInput) are missing, consider adding an Edit Fields (Set) node to rename or add missing fields.
• Mismatch in Session IDs: When using dynamic expressions for session IDs on different nodes, ensure the same expression works on each connected node. If not, using separate memory nodes might be necessary.
• Authentication Issues: If your integration involves Custom GPT actions, double-check that your callback URL and authentication settings match what is expected in your ChatGPT or GPT Action testing settings. Testing in Postman can help clarify issues.

Final Thoughts

While the specific details of the Video Summarizer GPT are not covered by the standard documentation, the above steps mirror approaches used in connecting similar custom GPT integrations within n8n workflows. If you continue to face issues, please share more specific error messages or parts of your workflow—and ensure that the output from the Video Summarizer is provided in a format that ChatGPT expects.

Good luck with your integration!