[openai.tokenize]

openai.tokenize is a slot in the openai namespace, in Hyperlambda, the language of Magic Cloud. Counts how many OpenAI tokens the given text consumes; useful for estimating cost or staying under context limits. Pass [model] to count with that model’s exact encoding - defaults to o200k_base, the GPT-4o/GPT-5 family encoding.

• Value (text), required: Text to tokenize
• Returns: Resolves to the number of tokens in the supplied text

Arguments

Required arguments come first, then the optional ones in the order they are declared.

Argument	Type	Required	Description
[model]	string	no	OpenAI model whose encoding to count with - defaults to o200k_base when omitted or unknown.

JSON declaration

This is the complete declaration of openai.tokenize, as the running system describes it. It is also published as slot.json.

JSON declaration

{
  "name": "openai.tokenize",
  "description": "Counts how many OpenAI tokens the given text consumes; useful for estimating cost or staying under context limits. Pass [model] to count with that model's exact encoding - defaults to o200k_base, the GPT-4o/GPT-5 family encoding",
  "signature": {
    "input": {
      "kind": "text",
      "description": "Text to tokenize",
      "required": true,
      "mode": "ValueOrExpression"
    },
    "children": {
      "model": {
        "type": "string",
        "kind": "model-name",
        "description": "OpenAI model whose encoding to count with - defaults to o200k_base when omitted or unknown",
        "required": false,
        "mode": "ValueOrExpression",
        "cardinality": "ZeroOrOne",
        "role": "Option",
        "projection": "Value"
      }
    },
    "output": {
      "mode": "Value",
      "kind": "integer,number",
      "description": "Resolves to the number of tokens in the supplied text"
    }
  }
}

---

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