Nexith — フロンティア AI モデル

Quickstart

Nexith Core is OpenAI-compatible. If you already use the OpenAI SDK, you only need to change two lines.

Install the SDK

bash

pip install openai

Make your first request

python

from openai import OpenAI

client = OpenAI(
    api_key="nx-your-key",
    base_url="https://api.nexith.ai/v1",
)

response = client.chat.completions.create(
    model="nexith-core",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

TypeScript / Node.js

typescript

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "nx-your-key",
  baseURL: "https://api.nexith.ai/v1",
});

const response = await client.chat.completions.create({
  model: "nexith-core",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Authentication

All API requests require an API key. Nexith API keys are prefixed with nx-.

Get an API Key

Generate a key at platform.nexith.ai/api-keys. Keys are shown only once — store them securely.

Pass the Key

Include your key in the Authorization header of every request:

http

Authorization: Bearer nx-your-key

Never expose your API key in client-side code or public repositories. Use environment variables or a secrets manager.

Models

Nexith currently offers one flagship model with additional models planned for release.

Model	Context	Input Price	Output Price
nexith-core	1M	$4.00 / 1M tokens	$20.00 / 1M tokens

Prices are per 1 million tokens. The nexith-core model supports a 1M context window, up to 128K output tokens, and OpenAI-compatible streaming chat completions. Cached input is billed at $0.40 / 1M tokens.

Chat Completions

The Chat Completions endpoint generates a model response given a list of messages.

POSThttps://api.nexith.ai/v1/chat/completions

Request Body

json

{
  "model": "nexith-core",
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ],
  "stream": true,
  "max_tokens": 2048,
  "temperature": 0.7
}

Parameters

Parameter	Type	Required	Description
model	string	required	Model ID to use. Currently: nexith-core
messages	array	required	Array of message objects with role and content.
stream	boolean	optional	If true, returns a stream of SSE events instead of a single response.
max_tokens	integer	optional	Maximum tokens to generate. Default: model max.
temperature	number	optional	Sampling temperature between 0 and 2. Higher values produce more varied output.
top_p	number	optional	Nucleus sampling probability mass. Default: 1.
n	integer	optional	Number of completions to generate. Default: 1.
stop	string \| array	optional	Up to 4 sequences where the API will stop generating further tokens.

Streaming

When stream: true is set, the API returns a stream of Server-Sent Events (SSE). Each event contains a chunk of the response. The stream ends with a data: [DONE] message.

curl Example

bash

curl https://api.nexith.ai/v1/chat/completions \
  -H "Authorization: Bearer nx-your-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nexith-core",
    "messages": [{"role": "user", "content": "Hello!"}],
    "stream": true
  }'

SSE Event Format

text

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","model":"nexith-core","choices":[{"delta":{"content":"Hello"},"index":0}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","model":"nexith-core","choices":[{"delta":{"content":"!"},"index":0}]}

data: [DONE]

Each data: line is a JSON object with a choices[0].delta.content field containing the next token(s). Accumulate these to reconstruct the full response.

Rate Limits

Every API key has per-minute rate limits applied at the gateway level.

Default Limits

Plan	RPM	TPM
Free	10	100,000
Pro	300	3,000,000
Enterprise	Custom	Custom

Response Headers

Every API response includes rate limit headers so you can track your remaining quota:

http

X-RateLimit-Limit-Requests: 10
X-RateLimit-Remaining-Requests: 7
X-RateLimit-Reset: 1720000000

When rate limited (HTTP 429), a Retry-After header indicates how many seconds to wait before retrying:

http

Retry-After: 30

Handling Rate Limits

Check for HTTP 429 responses and retry after the Retry-After header value. The example below uses exponential backoff:

python

import time
import openai

client = openai.OpenAI(api_key="nx-...", base_url="https://api.nexith.ai/v1")

def chat_with_retry(messages, max_retries=3):
    for i in range(max_retries):
        try:
            return client.chat.completions.create(
                model="nexith-core",
                messages=messages
            )
        except openai.RateLimitError as e:
            if i < max_retries - 1:
                time.sleep(2 ** i)  # exponential backoff
            else:
                raise

Python SDK

The official OpenAI Python SDK works out of the box with Nexith. Pass base_url and your Nexith API key when constructing the client.

bash

pip install openai

python

from openai import OpenAI

client = OpenAI(
    api_key="nx-your-key",
    base_url="https://api.nexith.ai/v1",
)

response = client.chat.completions.create(
    model="nexith-core",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

TypeScript SDK

Install the OpenAI npm package and point it at the Nexith base URL. Fully typed with TypeScript support.

bash

npm install openai

typescript

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "nx-your-key",
  baseURL: "https://api.nexith.ai/v1",
});

const response = await client.chat.completions.create({
  model: "nexith-core",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);