#Create a chat completion

The response arrives in raw OpenAI format.

The {success, data} wrapper used in the other Vibecode endpoints — /v1/deals, /v1/tasks and others — is absent here.

This is done for compatibility with the OpenAI SDK. If you have a single client that checks if (!response.success), add an exception for the AI Router.

POST /v1/chat/completions

Generates an AI model's response to an array of messages. The request and response format is compatible with POST /v1/chat/completions from the OpenAI API.

The endpoint's capabilities are documented on separate pages: streaming, guaranteed JSON response, function calling, image analysis and rate limits.

#Request fields (body)

#Model aliases

The model field accepts three values that resolve to the Bitrix24 account's default model (currently bitrix/bitrixgpt-5.5): auto, bitrix/free and an empty string.

The models bitrix/bitrixgpt-5 and bitrix/bitrixgpt-5-vl are marked as deprecated and work until July 31, 2026. After that date, requests to them are transparently redirected to bitrix/bitrixgpt-5.5 with the X-Model-Replacement header — see model lifecycle for details.

In addition, a partial modelId is matched against the catalog by substring: if you pass gpt-4o-mini, the platform picks a model available to your key whose identifier contains that substring.

#Examples

#curl — personal key

curl -X POST https://vibecode.bitrix24.com/v1/chat/completions \
  -H "X-Api-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "bitrix/bitrixgpt-5.5",
    "messages": [
      {"role": "system", "content": "You are a sales expert. Classify leads by quality."},
      {"role": "user", "content": "Acme LLC, 50 users, budget 500 thousand per month."}
    ],
    "temperature": 0.3,
    "max_tokens": 300
  }'

#curl — OAuth application

curl -X POST https://vibecode.bitrix24.com/v1/chat/completions \
  -H "X-Api-Key: YOUR_APP_KEY" \
  -H "Authorization: Bearer USER_SESSION_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "bitrix/bitrixgpt-5.5",
    "messages": [
      {"role": "system", "content": "You are a sales expert. Classify leads by quality."},
      {"role": "user", "content": "Acme LLC, 50 users, budget 500 thousand per month."}
    ],
    "temperature": 0.3,
    "max_tokens": 300
  }'

#JavaScript — personal key

const res = await fetch('https://vibecode.bitrix24.com/v1/chat/completions', {
  method: 'POST',
  headers: {
    'X-Api-Key': 'YOUR_API_KEY',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    model: 'bitrix/bitrixgpt-5.5',
    messages: [
      { role: 'system', content: 'You are a sales expert. Classify leads by quality.' },
      { role: 'user', content: 'Acme LLC, 50 users, budget 500 thousand per month.' },
    ],
    temperature: 0.3,
    max_tokens: 300,
  }),
})

const data = await res.json()
console.log(data.choices[0].message.content)
console.log('Tokens:', data.usage.total_tokens)

#JavaScript — OAuth application

const res = await fetch('https://vibecode.bitrix24.com/v1/chat/completions', {
  method: 'POST',
  headers: {
    'X-Api-Key': 'YOUR_APP_KEY',
    'Authorization': 'Bearer USER_SESSION_TOKEN',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    model: 'bitrix/bitrixgpt-5.5',
    messages: [
      { role: 'system', content: 'You are a sales expert. Classify leads by quality.' },
      { role: 'user', content: 'Acme LLC, 50 users, budget 500 thousand per month.' },
    ],
    temperature: 0.3,
    max_tokens: 300,
  }),
})

const data = await res.json()
console.log(data.choices[0].message.content)

#Response fields

#Response example

{
  "id": "chatcmpl-a1a73c6eb3f180fd",
  "object": "chat.completion",
  "created": 1777289339,
  "model": "bitrix/bitrixgpt-5.5",
  "choices": [
    {
      "index": 0,
      "finish_reason": "stop",
      "message": {
        "role": "assistant",
        "content": "Quality: HIGH\n\nRationale:\n- Legal entity (LLC) — B2B client\n- Budget 500 thousand per month — above average\n- Specific volume (50 users) — a deliberate need\n\nRecommendation: schedule a call within 24 hours."
      }
    }
  ],
  "usage": {
    "prompt_tokens": 42,
    "completion_tokens": 85,
    "total_tokens": 127
  }
}

#Error response example

404 ai_model_not_found — model not found or the key has no access to it:

{
  "error": {
    "message": "Model \"anthropic/claude-imaginary-x\" not found or disabled.",
    "type": "invalid_request_error",
    "code": "ai_model_not_found"
  }
}

#Errors

The full list of common API errors — Errors.

#Known specifics

Automatic fallback to a backup model on a provider failure. If a paid model returns a 5xx error or times out, the synchronous request is retried with the default model. The X-Model-Fallback: <original modelId> header appears in the response. In streaming mode there is no such fallback — the client receives an error in the last event before data: [DONE].

The Bitrix24 account's monthly AI quota. On Bitrix24 accounts with quota control enabled, a request may return 402 ai_quota_exhausted. The reason field distinguishes three cases: breaker — the hourly over-quota spending breaker tripped, wallet_empty — the quota is exhausted and the account balance has no funds, wallet_off — over-quota spend is not available for the account. The resetAt field holds the moment when requests will pass again. For wallet_off it may be absent. In the wallet_empty case the response may additionally carry a hint string and a topupUrl link to top up the balance — both fields appear when enforced quota control and the top-up hint are enabled on the platform, so read them as optional. The hint field in this response is a string. While usage stays within the quota, the endpoint's behavior is unchanged. Beyond the quota, if such spend is allowed for the account, requests are charged to the account's money balance at the model's base catalog price.

The processing budget for a synchronous request is about 850 seconds. Once the budget runs out, 503 ai_provider_timeout is returned. This response deliberately carries no Retry-After header: repeating the same request would hit the same budget. Reduce the request size or switch to streaming — there an idle timeout between events applies instead of a single budget for the whole call.

Request body size limit — 30 MiB. This is enough to pass a single image of up to 20 MiB: after base64 encoding it takes about 27 MiB.

Passing content as an array. For text models, pass content as a string. An array with a single text element also works but is redundant. An array is required only for requests with images.

#See also

• Streaming
• Guaranteed JSON response
• Function calling
• Image analysis
• Rate limits
• Model lifecycle
• List of models
• AI Router