Structured outputs across providers

Module 4.5 taught the why. This lesson covers the how across all three major providers.

Same shipping label format, three different printers. You need to know which buttons make each printer behave.

All three providers support enforced JSON outputs:

• OpenAI: response_format={"type": "json_schema", "json_schema": {...}}
• Gemini: response_mime_type="application/json" + response_schema=
• Anthropic: tool use with a tool that takes a typed input matching your schema

Anthropic example (tool-as-schema pattern):

tool = {
    "name": "save_resume",
    "description": "Save extracted resume fields",
    "input_schema": {
        "type": "object",
        "properties": {
            "name": {"type": "string"},
            "skills": {"type": "array", "items": {"type": "string"}},
        },
        "required": ["name", "skills"],
    },
}

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=400,
    tools=[tool],
    tool_choice={"type": "tool", "name": "save_resume"},
    messages=[{"role": "user", "content": "Aman, Python and React."}],
)
print(message.content[0].input)

The model is forced to call save_resume with structured args matching the schema.