curl --request POST \
  --url https://realtime-api.voiceflow.com/v1/stable/knowledge-base/query \
  --header 'Authorization: Bearer <token>'
  --header 'Content-Type: application/json' \
  --data '{
  "version": "draft",
  "filters": {},
  "question": "<string>",
  "settings": {
    "model": "gpt-3.5-turbo-1106",
    "system": "<string>",
    "maxTokens": 0,
    "temperature": 0,
    "reasoningEffort": "off"
  },
  "synthesis": true,
  "chunkLimit": 0,
  "instruction": "<string>"
}'

const response = await fetch('https://realtime-api.voiceflow.com/v1/stable/knowledge-base/query?projectID=<projectID>&environmentAlias=<environmentAlias>', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer <token>',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    "version": "draft",
    "filters": {},
    "question": "<string>",
    "settings": {
      "model": "gpt-3.5-turbo-1106",
      "system": "<string>",
      "maxTokens": 0,
      "temperature": 0,
      "reasoningEffort": "off"
    },
    "synthesis": true,
    "chunkLimit": 0,
    "instruction": "<string>"
  }),
});
const data = await response.json();

import requests

response = requests.post(
    'https://realtime-api.voiceflow.com/v1/stable/knowledge-base/query?projectID=<projectID>&environmentAlias=<environmentAlias>',
    headers={'Authorization': 'Bearer <token>'},
    json={
      "version": "draft",
      "filters": {},
      "question": "<string>",
      "settings": {
        "model": "gpt-3.5-turbo-1106",
        "system": "<string>",
        "maxTokens": 0,
        "temperature": 0,
        "reasoningEffort": "off"
      },
      "synthesis": True,
      "chunkLimit": 0,
      "instruction": "<string>"
    },
)
data = response.json()

vf knowledge-base query --project-id <projectID> --environment-alias <environmentAlias> \
  < body.json