Démarrage rapide : Intégration de l'API sans censure
Intégrez notre API LLM sans censure dans vos applications avec zéro friction. Ce guide couvre le point de terminaison compatible OpenAI, l'authentification et le streaming pour un déploiement rapide.
URL de base et authentification
Connectez-vous immédiatement à notre point de terminaison en mettant à jour la configuration de votre client. Utilisez https://api.apikeyforclaudecode.com/v1 comme votre URL de base et transmettez vos identifiants dans le Authorization header. Vous recevez une clé active par compte via l'inscription Google ou e-mail.
L'authentification repose sur des jetons bearer standard. Assurez-vous que votre clé est valide avant d'envoyer des charges utiles. Les clés invalides renvoient des erreurs 401. Les soldes de crédit vides déclenchent des réponses 402. Les limites de taux imposent 300 requêtes par minute.
Envoi de votre première requête
Envoyez du texte au modèle en utilisant le point de terminaison standard des complétions de chat. Configurez votre charge utile avec l'ID du modèle uncensored et vos paramètres souhaités. Cette approche fonctionne avec n'importe quel SDK compatible OpenAI.
- Définir
modelàuncensored. - Incluez votre
messages. - Define
max_tokensfor 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.
Generate your key now
Register, retrieve your key, update your base URL. Simple configuration.
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