POST
/
conduit
/
v1
/
completions
curl --location --request PUT 'https://api.mintlify.com/api/user' \
--header 'Content-Type: application/json' \
--header 'Authorization: Token <token>' \
--data-raw '{
    "user_group_id": "example_1",
    "name": "Example 1",
    "mapping": {"40": "213", "134": "386"},
    "properties": {"filterValue": "value"}
}'

{
  "id": id,
  "object": "text_completion",
  "created": 1698980165,
  "choices": [
    {"text": "hello world", "index": 0, "logprobs": None}
  ],
}

​
Body

​
messages
message[]
The messages to send to the model. Each message is a JSON object with the fields “role” (being either ‘user’ or ‘assistant’) and ‘content’.
​
max_tokens
int
The maximum number of tokens to generate. Defaults to 256 tokens.
​
top_k
int
The top k tokens to sample from. Defaults to 50 tokens.
​
top_p
float
The top p sampling parameter. Defaults to 0.9.
​
temperature
float
The temperature sampling parameter, 0 being greedy sampling. Defaults to 1.0.
​
presence_penalty
float
The presence penalty parameter. Defaults to 1.0.
​
frequency_penalty
float
The frequency penalty parameter. Defaults to 1.0.
​
stream
boolean
Whether to stream the response or not. Defaults to false.
​
model
string
The id of the model to use for inference.

​
Response

​
id
string
The id of the completion.
​
object
string
The type of the completion. Always “text_completion”.
​
created
int
The unix timestamp of the completion.
​
choices
choice[]
The completion choices. Each choice is a JSON object with the fields “text”, “index” and “logprobs”.
curl --location --request PUT 'https://api.mintlify.com/api/user' \
--header 'Content-Type: application/json' \
--header 'Authorization: Token <token>' \
--data-raw '{
    "user_group_id": "example_1",
    "name": "Example 1",
    "mapping": {"40": "213", "134": "386"},
    "properties": {"filterValue": "value"}
}'

{
  "id": id,
  "object": "text_completion",
  "created": 1698980165,
  "choices": [
    {"text": "hello world", "index": 0, "logprobs": None}
  ],
}