Venice AI

Use Venice AI for chat, image generation, embeddings, and more

Actions9

Overview

The "List Traits" operation under the "Model" resource in this node fetches and returns a list of traits associated with AI models from the Venice AI service. This operation allows users to filter traits by model type, such as text, image, embedding, TTS (text-to-speech), or upscale models.

This node is useful when you want to explore or understand the capabilities and characteristics of different AI models available via Venice AI before selecting one for tasks like chat completions, image generation, embeddings, or audio synthesis. For example, you might use it to programmatically retrieve traits to dynamically adjust your workflow based on model features.

Properties

Name Meaning
Model Type The category of models to list traits for. Options: All, Text, Image, Embedding, TTS, Upscale

Output

The output is a JSON object containing the traits information returned by the Venice AI API endpoint /models/traits. The structure depends on the API response but generally includes details about various traits that models of the specified type possess.

Example output structure (simplified):

{
  "traits": [
    {
      "name": "trait_name",
      "description": "Description of the trait",
      "applicableModels": ["model1", "model2"]
    },
    ...
  ]
}

No binary data is produced by this operation.

Dependencies

  • Requires an active connection to the Venice AI API.
  • Requires an API key credential configured in n8n for authenticating requests to Venice AI.
  • The node uses internal helper functions to make HTTP requests to Venice AI endpoints.

Troubleshooting

  • Common issue: If the node fails to retrieve traits, ensure the API key credential is correctly set up and has permissions to access model information.
  • Error message: "Unknown error" or network-related errors may indicate connectivity issues or invalid credentials.
  • Resolution: Verify API key validity, network connectivity, and that the Venice AI service is operational.
  • If an unsupported model type is selected, the API may return an empty list or error; choose a valid model type option.

Links and References

  • Venice AI official documentation (for API endpoints and model traits): [Not provided in source code]
  • n8n documentation on creating custom nodes and using credentials: https://docs.n8n.io/
  • General info on AI model traits and usage can be found in Venice AI's developer resources (if publicly available).

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