Da Moxing API Quick Start Guide

Prerequisites: Install SDK

To quickly start using the Da Moxing API, you need to install the official compatible SDK. Since our interface is fully compatible with the OpenAI protocol, you can use your familiar libraries. For Python developers, we recommend the openai library; for Node.js developers, use the openai npm package. Ensure these dependencies are installed in your environment for subsequent API calls.

Configure Base URL

Before sending requests, you must configure the base_url to our server address. This ensures your requests are correctly routed to the uncensored model. Set the base_url to https://api.apidamoxing.com/v1. This is the foundation for all API calls; ensure your SDK version supports custom base_url configuration.

Generate API Key

Visit the Get API Key page and register an account with your email and password. After registration, the API Key will be displayed on the screen immediately. Please save this key securely as it will be used for authentication in all API requests. Each account can have only one primary key, but you can generate new keys at any time; the old key will become invalid immediately.

Send First Request

Send your first request using cURL to verify that the API is working. The request will be sent to the uncensored model, returning unfiltered text content. Make sure to replace YOUR_API_KEY with your actual key. This request demonstrates basic text generation capabilities suitable for various creative scenarios.

复制curl https://api.apidamoxing.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Write a blunt product review of a cheap VPN."}]
  }'

Support Streaming (SSE)

For applications requiring real-time responses, enabling streaming (SSE) is an ideal choice. By setting stream: true, you can receive content generated by the model in chunks, reducing latency and improving user experience. Streaming is suitable for chatbots, real-time translation, and other scenarios, ensuring data arrives instantly.

复制stream = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Tell the story in second person."}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

Tool and Function Calling Example

Our API supports function calling, allowing the model to interact with external functions. By defining the tools parameter, you can have the model call specific functions based on context. This is very useful when building intelligent assistants or automating workflows. Ensure tool definitions comply with the OpenAI function calling specification for optimal compatibility.

复制from openai import OpenAI

client = OpenAI(base_url="https://api.apidamoxing.com/v1", api_key="YOUR_KEY")

resp = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Summarise this thread without softening it."}],
)
print(resp.choices[0].message.content)

复制import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.apidamoxing.com/v1", apiKey: process.env.API_KEY });

const resp = await client.chat.completions.create({
  model: "uncensored",
  messages: [{ role: "user", content: "Draft a villain monologue for my game." }],
});
console.log(resp.choices[0].message.content);