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#!/usr/bin/env python3
"""Example 4: JSON Mode with Schema.

Demonstrates structured output generation with JSON schema validation.

Note: This requires xgrammar support and compatible model configuration.
"""

import json

from openai import OpenAI

# Initialize the client
client = OpenAI(
    base_url="http://localhost:8000/v1",
    api_key="tensorrt_llm",
)

# Get the model name from the server
models = client.models.list()
model = models.data[0].id

print("=" * 80)
print("Example 4: JSON Mode with Schema")
print("=" * 80)
print()

# Define the JSON schema
schema = {
    "type": "json_schema",
    "name": "city_info",
    "schema": {
        "type": "object",
        "properties": {
            "name": {"type": "string"},
            "country": {"type": "string"},
            "population": {"type": "integer"},
            "famous_for": {"type": "array", "items": {"type": "string"}},
        },
        "required": ["name", "country", "population"],
    },
    "strict": True,
}

print("Request with JSON schema:")
print(json.dumps(schema, indent=2))
print()
print("Note: JSON schema support requires xgrammar and compatible model configuration.\n")

try:
    # Create responses with JSON schema
    response = client.responses.create(
        model=model,
        instructions="You are a helpful assistant that outputs JSON.",
        input="Give me information about Tokyo.",
        text={"format": schema},
        reasoning={"effort": "low"},
        max_output_tokens=1024,
    )

    print("JSON Response:")
    print(response.output_text)
except Exception as e:
    print("JSON schema support requires xgrammar and proper configuration.")
    print(f"Error: {e}")