Overview
This node integrates the Deeplogix AI Chat Model into n8n workflows. It allows users to interact with a language model hosted by Deeplogix, enabling natural language processing tasks such as generating text, answering questions, or performing conversational AI functions. This node is useful in scenarios where you want to incorporate advanced AI-driven chat capabilities without managing the underlying model infrastructure.
Practical examples include:
- Automating customer support responses.
- Generating content or summaries based on input data.
- Enhancing chatbots with contextual understanding powered by Deeplogix’s language models.
Properties
| Name | Meaning |
|---|---|
| Model | The specific Deeplogix AI model to use. Example value: "llama3.2:3b". |
Output
The node outputs data under the json field labeled as "Model". This output contains the response from the Deeplogix AI chat model, which typically includes generated text or conversational replies based on the input and selected model.
No binary data output is indicated.
Dependencies
- Requires an API authentication token via OAuth2 credentials for Deeplogix’s API.
- The node depends on the external Deeplogix service accessible through their API.
- Proper configuration of the OAuth2 credential within n8n is necessary to authenticate requests.
Troubleshooting
- Authentication errors: If the OAuth2 token is missing, expired, or invalid, the node will fail to connect. Ensure the OAuth2 credentials are correctly set up and refreshed.
- Model not found or invalid: Using an unsupported or misspelled model name may cause errors. Verify the model string matches available Deeplogix models.
- API connectivity issues: Network problems or API downtime can prevent successful calls. Check network access and Deeplogix service status.
- Empty or unexpected responses: Could indicate input issues or API changes; review input parameters and consult Deeplogix documentation.
Links and References
- Deeplogix API Documentation: https://deeplogix.io/api/docs/