Dolphin ai online: quickstart guide

Authentication and base URL setup

Connect to the API by updating your client's base URL and API key. Our service is an independent provider, so you must point your SDK to https://api.dolphinaionline.com/v1 instead of the default endpoint. You can generate a key instantly via the "Get API key" page using Google or an email password. No phone number is required for signup. Your API key authorizes all requests, so keep it secure.

Copycurl https://api.dolphinaionline.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "calculate the sha256 hash for this input string"}]
  }'

Sending your first uncensored request

Send a POST request to /v1/chat/completions to receive text output. Use the model ID "uncensored" to access the model tuned for fewer refusals on adult topics. You must include a system and user message in the messages array. The API returns a direct text response without extra filtering layers. This works with any standard OpenAI-compatible client library.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.dolphinaionline.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.js

Copyimport OpenAI from "openai";

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

Streaming

Copystream = 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)