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DeepSeek

Consume DeepSeek AI

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Overview

The DeepSeek node integrates with the DeepSeek AI platform to generate text completions based on a given prompt using various AI models. Specifically, the "FIM" resource with the "Complete" operation allows users to send a prompt and receive generated text completions from selected AI models.

This node is beneficial in scenarios such as:

  • Generating code snippets or explanations for developers.
  • Creating content drafts or suggestions for writers.
  • Automating responses or generating ideas based on input prompts.

For example, a user can input a programming question as a prompt and receive a code completion or explanation generated by an AI model specialized in coding.

Properties

Name Meaning
Model The AI model used to generate the completion. Only models whose IDs start with "deepseek-coder" are available. Users select from these models to tailor the generation style and capabilities.
Prompt The text prompt to generate completions for. This is the main input that the AI model will use to produce output.
Simplify Whether to return a simplified version of the response containing only the relevant completion data instead of the full raw API response. When enabled, the output contains just the array of completion choices.
Frequency Penalty A number between -2 and 2 that penalizes new tokens based on their existing frequency in the text so far, reducing repetition of the same lines verbatim.
Maximum Number of Tokens The maximum number of tokens to generate in the completion. Most models support up to 2048 tokens, while newer ones can handle up to 32,768 tokens.
Presence Penalty A number between -2 and 2 that penalizes new tokens based on whether they appear in the text so far, encouraging the model to talk about new topics.
Sampling Temperature Controls randomness of the output. Values closer to 0 make the output more deterministic and repetitive; values closer to 1 increase randomness.
Top P Controls diversity via nucleus sampling. For example, 0.5 means half of all likelihood-weighted options are considered. Usually adjusted alongside temperature but not both simultaneously.
Echo Prompt Whether the prompt should be included (echoed) back in the output along with the completion.
Logprobs Whether to include log probabilities of the output tokens in the response. Useful for advanced analysis of token likelihoods.
Suffix A string appended after the generated completion text.

Output

The node outputs JSON data representing the completion results from the DeepSeek AI service. If the "Simplify" option is enabled, the output JSON contains a data field which is an array of completion choices returned by the AI model. Each choice typically includes the generated text and possibly other metadata depending on the model's response.

If "Simplify" is disabled, the node returns the full raw response from the API, which may include additional details beyond just the completion text.

The node does not output binary data.

Dependencies

  • Requires an active connection to the DeepSeek AI platform API.
  • Requires an API key credential for authentication with DeepSeek.
  • The base URL for API requests is set to http://127.0.0.1:1234/v1 by default, which likely needs to be configured to the actual DeepSeek API endpoint.
  • Network access to the DeepSeek API service must be available.

Troubleshooting

  • Common Issues:

    • Invalid or missing API key credential will cause authentication failures.
    • Using a model ID that does not start with "deepseek-coder" will result in no available models or errors.
    • Exceeding token limits (e.g., maxTokens > model context length) may cause request failures.
    • Network connectivity issues to the API endpoint will prevent completions.

  • Error Messages:

    • Authentication errors indicate invalid or missing API credentials; verify and update the API key.
    • Validation errors related to parameters like maxTokens, temperature, or penalties suggest out-of-range values; adjust inputs accordingly.
    • HTTP errors due to unreachable endpoints require checking network settings and API base URL configuration.

Links and References

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