MiniMax

MiniMax

Properties used to connect to MiniMax.

miniMax

• Type: {
       model?: string,
       system_prompt?: string,
       max_tokens?: number,
       temperature?: number,
       top_p?: number,
       frequency_penalty?: number,
       presence_penalty?: number,
       stop?: string | string[]
  }
• Default: {model: "MiniMax-M1"}

Connect to MiniMax's ChatCompletion v2 API.
model is the name of the MiniMax model to be used by the API. Check available models for more.
system_prompt provides behavioral context and instructions to the model.
max_tokens limits the maximum number of tokens in the generated response.
temperature controls the randomness/creativity of responses (0.0-2.0). Higher values produce more diverse outputs.
top_p controls diversity through nucleus sampling (0.0-1.0).
frequency_penalty penalizes frequent tokens to reduce repetition (-2.0 to 2.0).
presence_penalty penalizes new tokens to encourage topic diversity (-2.0 to 2.0).
stop string or array of strings that will stop generation when encountered.

Example

Sample code

<deep-chat
  directConnection='{
    "miniMax": {
      "key": "placeholder key",
      "system_prompt": "You are a helpful assistant.",
      "temperature": 0.7,
      "max_tokens": 1000
    }
  }'
></deep-chat>

Full code

<!-- This example is for Vanilla JS and should be tailored to your framework (see Examples) -->

<deep-chat
  directConnection='{
    "miniMax": {
      "key": "placeholder key",
      "system_prompt": "You are a helpful assistant.",
      "temperature": 0.7,
      "max_tokens": 1000
    }
  }'
  style="border-radius: 8px"
></deep-chat>

info

Use stream to stream the AI responses.