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Quickstart: Uncensored API Integration

Integrate our uncensored LLM API into your applications with zero friction. This guide covers the OpenAI-compatible endpoint, authentication, and streaming for rapid deployment.

Base URL and Authentication

Connect to our endpoint immediately by updating your client configuration. Use https://api.apikeyforclaudecode.com/v1 as your base URL and pass your credential in the Authorization header. You receive a single active key per account via Google or email signup.

Authentication relies on standard bearer tokens. Ensure your key is valid before sending payloads. Invalid keys return 401 errors. Empty credit balances trigger 402 responses. Rate limits enforce 300 requests per minute.

Sending Your First Request

Send text to the model using the standard chat completions endpoint. Configure your payload with the model ID uncensored and your desired parameters. This approach works with any OpenAI-compatible SDK.

  • Set model to uncensored.
  • Include your messages.
  • Define max_tokens for output length.

Our servers process the request and return raw text. No hidden filters apply to lawful adult content.

curl https://api.apikeyforclaudecode.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "List three benefits of serverless architecture"}]
  }'

Python SDK Integration

Use the official Python library to interact with the API programmatically. Initialize the client with your base URL and API key. This setup ensures compatibility with existing codebases.

Pass your messages array to the chat.completions.create method. The response contains the generated text and token usage. Errors are raised as standard exceptions. Check your balance before heavy usage.

from openai import OpenAI

client = OpenAI(base_url="https://api.apikeyforclaudecode.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)

Node SDK Implementation

Integrate the API into Node.js applications with minimal code changes. Set the baseUrl to our endpoint. Pass your API key as the apiKey value.

Create a completion request with your system and user messages. Handle the response object to extract the content. This method supports JSON mode and function calling for structured outputs.

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.apikeyforclaudecode.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);

Handling Streaming Responses

Enable streaming for lower latency and real-time token display. Set the stream parameter to true in your request. The API returns a server-sent events (SSE) stream.

Parse each chunk to access partial completions. The final chunk includes total token usage. This feature is essential for chat interfaces and live coding tools.

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)

Limits, Errors, and Context

Understand the operational limits to optimize your application. The context window supports 100,000 tokens total. Max output is 16,000 tokens per request. Errors like 401 indicate invalid keys. 402 errors mean no credit. 429 signals rate limits. Your prepaid credit never expires.

Frequently asked questions

What is the API key for claude code alternative?

Our API key provides access to an uncensored LLM via an OpenAI-compatible endpoint. It works with standard SDKs without requiring a subscription. You receive the key immediately after signup.

How does pricing work for this uncensored AI API?

We charge $0.15 per 1M input tokens and $0.50 per 1M output tokens. Errors are free. You can top up with USDT or USDC starting at $20. No monthly fees apply.

What are the limits for the uncensored coding API?

You get 300 requests per minute and a 100,000 token context window. Max output is 16,000 tokens. Streaming and function calling are supported. Use JSON mode for structured data.

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