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POST
/
api
/
v1
/
llm
/
chat
/
completions
[Deprecated] Chat completions for OpenAI SDK/client usage
curl --request POST \
  --url https://apigw.mka1.com/api/v1/llm/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "meetkai:functionary-urdu-mini-pak",
  "messages": [
    {
      "role": "user",
      "content": "What is the capital of France?"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 100
}
'
{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1704067200,
  "model": "meetkai:functionary-urdu-mini-pak",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "The capital of France is Paris."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 15,
    "completion_tokens": 8,
    "total_tokens": 23
  }
}

Authorizations

​
Authorization
string
header
required

Authenticate with your MKA1 API key at the API gateway: Authorization: Bearer <mka1-api-key>. For multi-user server-side integrations, also send X-On-Behalf-Of to identify the end user making the request.

Headers

​
X-On-Behalf-Of
string

Optional external user identifier for multi-user server-side integrations. Use this when acting on behalf of one of your end users.

Body

application/json

Request parameters for creating a chat completion. Based on the OpenAI Chat Completions API.

​
model
string
required

ID of the model to use. You can use provider:model format or just the model name with a default provider.

Minimum string length: 1
​
messages
object[]
required

A list of messages comprising the conversation so far. At least one message is required.

Minimum array length: 1
​
tools
object[]

A list of tools the model may call. Use this to provide function definitions the model can invoke.

​
tool_choice

Controls which (if any) tool is called by the model. 'none' means the model will not call any tool. 'auto' means the model can pick. 'required' forces a tool call.

​
stream
boolean

If set, partial message deltas will be sent as server-sent events. Note: This field is ignored by the streaming endpoint, used only by OpenAI-compatible client endpoints.

​
n
integer

How many chat completion choices to generate for each input message. Default is 1.

Required range: 1 <= x <= 9007199254740991
​
max_tokens
integer

The maximum number of tokens that can be generated in the chat completion. The total length of input tokens and generated tokens is limited by the model's context length.

Required range: 1 <= x <= 9007199254740991
​
temperature
number

What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

Required range: 0 <= x <= 2
​
top_p
number

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.

Required range: 0 <= x <= 1
​
frequency_penalty
number

Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.

​
presence_penalty
number

Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.

​
seed
integer

If specified, the system will make a best effort to sample deterministically. Determinism is not guaranteed, but the same seed should typically return similar results.

Required range: -9007199254740991 <= x <= 9007199254740991
​
stop

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

​
response_format
object

An object specifying the format that the model must output. Setting to { 'type': 'json_object' } enables JSON mode.

​
logprobs
boolean

Whether to return log probabilities of the output tokens. If true, returns the log probabilities of each output token returned in the content of message.

​
top_logprobs
integer

An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. logprobs must be set to true if this parameter is used.

Required range: 0 <= x <= 20
​
user
string

A unique identifier representing your end-user, which can help monitor and detect abuse. Also used for usage tracking and analytics.

​
stream_options
object

Options for streaming response. Only set this when you set stream: true.

​
parallel_tool_calls
boolean
default:true

Whether to enable parallel function calling during tool use.

​
reasoning_effort
enum<string>
default:medium

Constrains effort on reasoning for reasoning models. Lower effort results in faster responses and fewer reasoning tokens. Supported values: 'minimal', 'low', 'medium', 'high'.

Available options:
minimal,
low,
medium,
high

Response

Successful chat completion response. Returns JSON for non-streaming (stream=false) or Server-Sent Events for streaming (stream=true).

Represents a chat completion response from the API

​
id
string
required

A unique identifier for the chat completion

​
object
any
required

The object type, always 'chat.completion'

​
created
integer
required

The Unix timestamp (in seconds) of when the chat completion was created

Required range: -9007199254740991 <= x <= 9007199254740991
​
model
string
required

The model used for the chat completion

​
choices
object[]
required

A list of chat completion choices. Can be more than one if n is greater than 1.

​
usage
object
required

Usage statistics for the completion request

​
system_fingerprint
string

This fingerprint represents the backend configuration that the model runs with. Can be used in conjunction with the seed request parameter to understand when backend changes have been made that might impact determinism.