API Reference

Request response from the model

post
https://integrate.api.nvidia.com/v1/chat/completions

Invokes inference using the model chat parameters.

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Body Params
messages
array of objects
required
length ≥ 1

A list of messages comprising the conversation so far.

Messages*
string
enum
required

The role of the message's author.

Allowed:
string | array | null
required

The contents of the message.

To pass media (only with role=user):

- Use content parts. Text is passed with type=text.

- Images are passed with type=image_url; set image_url.url to an image URL or a base64 data URI like data:image/{format};base64,{base64encodedimage}.

- Videos are passed with type=video_url; set video_url.url to a video URL or a base64 data URI like data:video/{format};base64,{base64encodedvideo}.

For system and assistant roles, the object list format is not supported.

Optional participant or tool name.

Tool call ID that this tool message is responding to.

array | null

Tool calls generated by an assistant message.

Optional preserved reasoning content from a previous assistant turn.

string
required
Defaults to moonshotai/kimi-k2.6

The model to use.

object | null

Optional kwargs forwarded to the model chat template (e.g. {"thinking": true} / {"thinking": false}).

array | null

Optional OpenAI-compatible tool definitions for function calling.

string | ChatCompletionNamedToolChoice | null

Optional OpenAI-compatible tool choice. Use auto, none, required, or a named-tool choice object.

1 to 65536

The maximum number of tokens that can be generated.

-9007199254740991 to 9007199254740991

Changing the seed will produce a different response with similar characteristics. Fixing the seed will reproduce the same results if all other parameters are also kept constant.

If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE]

object | null

Optional OpenAI-compatible stream options, such as include_usage.

0 to 1

What sampling temperature to use, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

≤ 1

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. We generally recommend altering this or temperature but not both.

Headers
string
enum
Defaults to application/json

Generated from available response content types

Allowed:
Responses

Updated 5 days ago

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Response
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application/json
text/event-stream

Updated 5 days ago

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