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POST
/
api
/
v3
/
chat
/
completions
Generate a chat completion
curl --request POST \
  --url https://paradigm.lighton.ai/api/v3/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "messages": [
    {
      "content": "<string>",
      "name": "<string>",
      "function_call": {}
    }
  ]
}
'
{
  "model": "alfred-4.2",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": "Hello!"
    }
  ]
}

Documentation Index

Fetch the complete documentation index at: https://docs.lighton.ai/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

Request serializer for chat completions endpoint (OpenAI-compatible).

​
model
string
required

Model to use for generating chat completions, must exist and be configured from the admin

​
messages
object[]
required

List of messages comprising the conversation so far

​
max_tokens
integer

Maximum number of tokens to generate

​
temperature
number<double>

Sampling temperature between 0 and 2

​
top_p
number<double>

Nucleus sampling parameter

​
n
integer

Number of chat completion choices to generate

​
stream
boolean

Whether to stream back partial progress

​
stop
string[]

Up to 4 sequences where the API will stop generating further tokens

​
presence_penalty
number<double>

Penalty for new tokens based on whether they appear in the text so far

​
frequency_penalty
number<double>

Penalty for new tokens based on their existing frequency in the text

​
logit_bias
object

Modify the likelihood of specified tokens appearing in the completion

​
user
string

A unique identifier representing your end-user

​
functions
object[]

List of functions the model may call

​
function_call
string

Controls how the model responds to function calls

Response

200 - application/json

Response serializer for chat completions endpoint results.

​
id
string
required

Unique identifier for the chat completion

​
object
string
required

Object type, always 'chat.completion'

​
created
integer
required

Unix timestamp of when the chat completion was created

​
model
string
required

The model used for generating the chat completion

​
choices
object[]
required

List of chat completion choices generated by the model

​
usage
object

Usage statistics for the chat completion request