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POST
/
serverless
/
v1
/
tokenize
Tokenization
curl --request POST \
  --url https://api.friendli.ai/serverless/v1/tokenize \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "zai-org/GLM-5.2",
  "prompt": "What is generative AI?"
}
'
import requests

url = "https://api.friendli.ai/serverless/v1/tokenize"

payload = {
    "model": "zai-org/GLM-5.2",
    "prompt": "What is generative AI?"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({model: 'zai-org/GLM-5.2', prompt: 'What is generative AI?'})
};

fetch('https://api.friendli.ai/serverless/v1/tokenize', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));
package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.friendli.ai/serverless/v1/tokenize"

	payload := strings.NewReader("{\n  \"model\": \"zai-org/GLM-5.2\",\n  \"prompt\": \"What is generative AI?\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}
{
  "tokens": [
    128000,
    3923,
    374,
    1803,
    1413,
    15592,
    30
  ]
}
Convert text input into token IDs. To request successfully, it is mandatory to enter a Personal API Key (e.g. flp_XXX) value in the Bearer Token field. Refer to the authentication section on our introduction page to learn how to acquire this variable and visit here to generate your API Key.

Authorizations

​
Authorization
string
header
required

When using Friendli Suite API for inference requests, you need to provide a Friendli Token for authentication and authorization purposes.

For more detailed information, please refer here.

Headers

​
X-Friendli-Team
string | null

ID of team to run requests as (optional parameter).

Body

application/json
​
model
string
required

Code of the model to use. See available model list.

Example:

"zai-org/GLM-5.2"

​
prompt
string
required

Input text prompt to tokenize.

Example:

"What is generative AI?"

Response

Successfully tokenized the text.

​
tokens
integer[]
required

A list of token IDs.

Last modified on June 9, 2026