create_completion

Generate text completions using the Grok API by specifying a model, prompt, and parameters like temperature, max tokens, and penalties to tailor output effectively.

Instructions

Create a text completion with the Grok API

Input Schema

Name	Required	Description
`best_of`	No	Generate best_of completions server-side and return the best one
`echo`	No	Echo back the prompt in addition to the completion
`frequency_penalty`	No	Penalty for new tokens based on frequency in text (-2 to 2)
`logit_bias`	No	Map of token IDs to bias scores (-100 to 100) that influence generation
`logprobs`	No	Include log probabilities on most likely tokens (0-5)
`max_tokens`	No	Maximum number of tokens to generate
`model`	Yes	ID of the model to use
`n`	No	Number of completions to generate
`presence_penalty`	No	Penalty for new tokens based on presence in text (-2 to 2)
`prompt`	Yes	The prompt(s) to generate completions for
`seed`	No	If specified, results will be more deterministic when the same seed is used
`stop`	No	Sequences where the API will stop generating further tokens
`stream`	No	Whether to stream back partial progress
`suffix`	No	The suffix that comes after a completion of inserted text
`temperature`	No	Sampling temperature (0-2)
`top_p`	No	Nucleus sampling parameter (0-1)
`user`	No	A unique user identifier

Input Schema (JSON Schema)

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false,
  "properties": {
    "best_of": {
      "description": "Generate best_of completions server-side and return the best one",
      "exclusiveMinimum": 0,
      "type": "integer"
    },
    "echo": {
      "description": "Echo back the prompt in addition to the completion",
      "type": "boolean"
    },
    "frequency_penalty": {
      "description": "Penalty for new tokens based on frequency in text (-2 to 2)",
      "maximum": 2,
      "minimum": -2,
      "type": "number"
    },
    "logit_bias": {
      "additionalProperties": {
        "type": "number"
      },
      "description": "Map of token IDs to bias scores (-100 to 100) that influence generation",
      "type": "object"
    },
    "logprobs": {
      "description": "Include log probabilities on most likely tokens (0-5)",
      "maximum": 5,
      "minimum": 0,
      "type": "integer"
    },
    "max_tokens": {
      "description": "Maximum number of tokens to generate",
      "exclusiveMinimum": 0,
      "type": "integer"
    },
    "model": {
      "description": "ID of the model to use",
      "type": "string"
    },
    "n": {
      "description": "Number of completions to generate",
      "exclusiveMinimum": 0,
      "type": "integer"
    },
    "presence_penalty": {
      "description": "Penalty for new tokens based on presence in text (-2 to 2)",
      "maximum": 2,
      "minimum": -2,
      "type": "number"
    },
    "prompt": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        }
      ],
      "description": "The prompt(s) to generate completions for"
    },
    "seed": {
      "description": "If specified, results will be more deterministic when the same seed is used",
      "type": "integer"
    },
    "stop": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        }
      ],
      "description": "Sequences where the API will stop generating further tokens"
    },
    "stream": {
      "description": "Whether to stream back partial progress",
      "type": "boolean"
    },
    "suffix": {
      "description": "The suffix that comes after a completion of inserted text",
      "type": "string"
    },
    "temperature": {
      "description": "Sampling temperature (0-2)",
      "maximum": 2,
      "minimum": 0,
      "type": "number"
    },
    "top_p": {
      "description": "Nucleus sampling parameter (0-1)",
      "maximum": 1,
      "minimum": 0,
      "type": "number"
    },
    "user": {
      "description": "A unique user identifier",
      "type": "string"
    }
  },
  "required": [
    "model",
    "prompt"
  ],
  "type": "object"
}

Grok MCP Server

create_completion

Instructions

Input Schema

Input Schema (JSON Schema)

Other Tools from Grok MCP Server

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MCP directory API