Responses API (Recommended)

curl https://api.hao.ai/v1/responses \
  -H "Authorization: Bearer $HAOAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5.4-mini",
    "input": "Explain what an API Gateway is",
    "instructions": "You are a helpful technical assistant. Respond in English.",
    "max_output_tokens": 1024
  }'

from openai import OpenAI
 
client = OpenAI(
    base_url="https://api.hao.ai/v1",
    api_key="<your HAOAI_API_KEY>"
)
 
response = client.responses.create(
    model="openai/gpt-5.4-mini",
    input="Explain what an API Gateway is",
    instructions="You are a helpful technical assistant. Respond in English.",
    max_output_tokens=1024
)
 
print(response.output_text)

import OpenAI from 'openai'
 
const client = new OpenAI({
  baseURL: 'https://api.hao.ai/v1',
  apiKey: '<your HAOAI_API_KEY>'
})
 
const response = await client.responses.create({
  model: 'openai/gpt-5.4-mini',
  input: 'Explain what an API Gateway is',
  instructions: 'You are a helpful technical assistant. Respond in English.',
  max_output_tokens: 1024
})
 
console.log(response.output_text)

response = client.responses.create(
    model="openai/gpt-5.4-mini",
    input=[
        {
            "type": "message",
            "role": "user",
            "content": [
                {"type": "input_text", "text": "What is the capital of France?"}
            ]
        },
        {
            "type": "message",
            "role": "assistant",
            "id": "msg_abc123",
            "status": "completed",
            "content": [
                {"type": "output_text", "text": "The capital of France is Paris.", "annotations": []}
            ]
        },
        {
            "type": "message",
            "role": "user",
            "content": [
                {"type": "input_text", "text": "How many people live there?"}
            ]
        }
    ]
)
 
print(response.output_text)

const response = await client.responses.create({
  model: 'openai/gpt-5.4-mini',
  input: [
    {
      type: 'message',
      role: 'user',
      content: [
        { type: 'input_text', text: 'What is the capital of France?' }
      ]
    },
    {
      type: 'message',
      role: 'assistant',
      id: 'msg_abc123',
      status: 'completed',
      content: [
        { type: 'output_text', text: 'The capital of France is Paris.', annotations: [] }
      ]
    },
    {
      type: 'message',
      role: 'user',
      content: [
        { type: 'input_text', text: 'How many people live there?' }
      ]
    }
  ]
})
 
console.log(response.output_text)

stream = client.responses.create(
    model="openai/gpt-5.4-mini",
    input="Tell me a joke about programming",
    stream=True
)
 
for event in stream:
    if event.type == "response.output_text.delta":
        print(event.delta, end="", flush=True)

const stream = await client.responses.create({
  model: 'openai/gpt-5.4-mini',
  input: 'Tell me a joke about programming',
  stream: true
})
 
for await (const event of stream) {
  if (event.type === 'response.output_text.delta') {
    process.stdout.write(event.delta)
  }
}

response = client.responses.create(
    model="openai/gpt-5.4-mini",
    input="What's the weather like in Beijing today?",
    tools=[
        {
            "type": "function",
            "name": "get_weather",
            "description": "Get the current weather for the specified city",
            "parameters": {
                "type": "object",
                "properties": {
                    "location": {
                        "type": "string",
                        "description": "City name, e.g. Beijing"
                    },
                    "unit": {
                        "type": "string",
                        "enum": ["celsius", "fahrenheit"]
                    }
                },
                "required": ["location"]
            }
        }
    ],
    tool_choice="auto"
)
 
# Handle tool calls
for item in response.output:
    if item.type == "function_call":
        print(f"Calling function: {item.name}")
        print(f"Arguments: {item.arguments}")

const response = await client.responses.create({
  model: 'openai/gpt-5.4-mini',
  input: "What's the weather like in Beijing today?",
  tools: [
    {
      type: 'function',
      name: 'get_weather',
      description: 'Get the current weather for the specified city',
      parameters: {
        type: 'object',
        properties: {
          location: {
            type: 'string',
            description: 'City name, e.g. Beijing'
          },
          unit: {
            type: 'string',
            enum: ['celsius', 'fahrenheit']
          }
        },
        required: ['location']
      }
    }
  ],
  tool_choice: 'auto'
})
 
// Handle tool calls
for (const item of response.output) {
  if (item.type === 'function_call') {
    console.log(`Calling function: ${item.name}`)
    console.log(`Arguments: ${item.arguments}`)
  }
}