Actions2
LLM Chain
AI-generatedOverview
This node interacts with the Azure DeepSeek LLM (Large Language Model) service to process text inputs using a specified language model. It is designed to send a text prompt to the DeepSeek LLM and receive generated text responses. This is useful for scenarios such as text generation, summarization, or any natural language processing task where a language model is required.
Use Case Examples
- Generating a summary of a given text input.
- Creating a continuation or response based on a user-provided prompt.
- Customizing the output by adjusting model parameters like temperature and max tokens.
Properties
| Name | Meaning |
|---|---|
| Text | The input text to be processed by the language model. |
| Options | Additional parameters to customize the LLM request, including model selection, sampling temperature, maximum token length, and request timeout. |
Output
JSON
text- The generated text output from the language model.content- Same as text; the content generated by the model._fullResponse- The complete raw response object returned from the Azure DeepSeek LLM API.
Dependencies
- Requires an Azure DeepSeek API key credential for authentication and access to the Azure AI Foundry service.
Troubleshooting
- Timeout errors may occur if the request takes too long; increase the request timeout setting to resolve.
- Network errors can happen if the Azure endpoint is unreachable; verify network connectivity and endpoint URL.
- API errors from Azure DeepSeek LLM will include error messages; check the error details for troubleshooting.