Документация

from openai import OpenAI

client = OpenAI(
    base_url="https://proxy.aproject.com/v1",
    api_key="sk-ap-YOUR_KEY"
)

response = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[{"role": "user", "content": "Привет!"}]
)
print(response.choices[0].message.content)

curl https://proxy.aproject.com/v1/chat/completions \
  -H "Authorization: Bearer sk-ap-YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4.1",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://proxy.aproject.com/v1",
  apiKey: "sk-ap-YOUR_KEY",
});

const response = await client.chat.completions.create({
  model: "gemini-2.5-pro",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Authorization: Bearer sk-ap-YOUR_KEY

https://proxy.aproject.com/v1

{
  "model": "gpt-4.1",
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "What is 2+2?"}
  ],
  "temperature": 0.7,
  "max_tokens": 500
}

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1720000000,
  "model": "gpt-4.1",
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "2+2 = 4"
    },
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 25,
    "completion_tokens": 8,
    "total_tokens": 33
  }
}

from openai import OpenAI

client = OpenAI(
    base_url="https://proxy.aproject.com/v1",
    api_key="sk-ap-YOUR_KEY"
)

stream = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[{"role": "user", "content": "Напиши стихотворение"}],
    stream=True,
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

const stream = await client.chat.completions.create({
  model: "gemini-2.5-flash",
  messages: [{ role: "user", content: "Расскажи анекдот" }],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

response = client.images.generate(
    model="gpt-image-1",
    prompt="Sunset over mountains, photorealistic",
    size="1024x1024",
    quality="standard",
    n=1,
)
print(response.data[0].b64_json)  # base64-encoded image

response = client.embeddings.create(
    model="text-embedding-3-small",
    input="Текст для векторизации"
)
print(response.data[0].embedding[:5])  # [0.023, -0.012, ...]

curl https://proxy.aproject.com/v1/embeddings \
  -H "Authorization: Bearer sk-ap-YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-small",
    "input": "Текст для векторизации"
  }'

response = client.audio.speech.create(
    model="tts-1",
    voice="alloy",
    input="Привет, это тестовое сообщение."
)
response.stream_to_file("output.mp3")

audio_file = open("recording.mp3", "rb")
response = client.audio.transcriptions.create(
    model="whisper-1",
    file=audio_file
)
print(response.text)

curl https://proxy.aproject.com/v1/models \
  -H "Authorization: Bearer sk-ap-YOUR_KEY"

{
  "object": "list",
  "data": [
    {"id": "gpt-4.1", "object": "model", "created": 1720000000, "owned_by": "openai"},
    {"id": "claude-sonnet-4-6", "object": "model", "created": 1720000000, "owned_by": "anthropic"},
    ...
  ]
}

import google.generativeai as genai

genai.configure(
    api_key="sk-ap-YOUR_KEY",
    transport="rest",
    client_options={"api_endpoint": "proxy.aproject.com"}
)

model = genai.GenerativeModel("gemini-2.5-pro")
response = model.generate_content("What is the meaning of life?")
print(response.text)

{
  "error": {
    "message": "Insufficient balance",
    "type": "insufficient_funds",
    "code": "402"
  }
}