Overview
The node interacts with the DeepSeek AI platform to generate text completions using a specified model. It is designed for scenarios where users want to generate AI-driven text completions based on a prompt, such as code generation, content creation, or conversational AI. For example, a user can input a prompt and receive a completion generated by a DeepSeek model, with options to customize the output like echoing the prompt, adjusting randomness, or setting penalties for token repetition.
Use Case Examples
- Generating code snippets based on a prompt using the 'deepseek-coder' models.
- Creating text completions for chatbots or content generation with customizable parameters.
Properties
| Name | Meaning |
|---|---|
| Model | The AI model used to generate the completion. Only models starting with 'deepseek-coder' are available for selection. |
| Prompt | The input text prompt for which the AI will generate completions. |
| Simplify | Whether to return a simplified version of the response containing only the completion choices instead of the full raw response. |
| Options | Additional optional parameters to customize the completion generation, such as echoing the prompt, frequency penalty, log probabilities, max tokens, presence penalty, temperature, suffix, and top-p sampling. |
Output
JSON
data- An array of completion choices generated by the model, simplified if the 'Simplify' option is enabled.
Dependencies
- Requires an API key credential for DeepSeek API authentication.
Troubleshooting
- Common issues may include invalid or missing API credentials, resulting in authentication errors.
- Errors can occur if the selected model is not available or does not start with 'deepseek-coder'.
- Invalid parameter values (e.g., max tokens exceeding model limits) may cause request failures.
Links
- DeepSeek API Pricing and Models - Documentation for available models and pricing details.