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POST
/
v1
/
chat
/
completions
Chat Completions
curl --request POST \
  --url https://api.algo-tech.ai/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "deepseek-ai/DeepSeek-R1",
  "messages": [
    {
      "role": "system",
      "content": "<string>",
      "name": "<string>"
    }
  ],
  "temperature": 1,
  "max_tokens": 2000,
  "stream": true
}'
{
  "id": "<string>",
  "object": "<string>",
  "created": 123,
  "model": "<string>",
  "choices": [
    {
      "index": 123,
      "message": "<any>",
      "finish_reason": "stop"
    }
  ],
  "usage": {}
}

Authorizations

​
Authorization
string
header
required

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

Headers

​
Authorization
string
default:Bearer <API_KEY>
required

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

Body

application/json
​
model
string

The name of the model to use.

Example:

"deepseek-ai/DeepSeek-R1"

​
messages
object[]

A list of messages comprising the conversation so far.

Minimum length: 1
​
temperature
number
default:1

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.

We generally recommend altering this or top_p but not both.

Required range: 0 <= x <= 2
Example:

1

​
max_tokens
integer
default:2000

The maximum number of tokens to generate in the completion.

If the token count of your prompt (previous messages) plus max_tokens exceed the model's context length, the behavior is depends on context_length_exceeded_behavior. By default, max_tokens will be lowered to fit in the context window instead of returning an error.

​
stream
boolean

Whether to stream back partial progress. If set, tokens will be sent as data-only server-sent events

Example:

true

Response

OK

​
id
string

A unique identifier of the response.

​
object
string

The object type, which is always "chat.completion".

​
created
integer

The Unix time in seconds when the response was generated.

​
model
string

The model used for the chat completion.

​
choices
object[]

The list of chat completion choices.

​
usage
object