Co-authored-by: Chang Su <chang.s.su@oracle.com> Co-authored-by: key4ng <rukeyang@gmail.com>
290 lines
10 KiB
Python
290 lines
10 KiB
Python
"""Structured output tests for Response API.
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Tests for text.format field with json_object and json_schema formats.
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Source: Migrated from e2e_response_api/features/test_structured_output.py
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"""
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from __future__ import annotations
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import json
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import logging
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import pytest
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logger = logging.getLogger(__name__)
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# =============================================================================
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# Cloud Backend Tests (OpenAI)
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# =============================================================================
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@pytest.mark.parametrize("setup_backend", ["openai"], indirect=True)
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class TestStructuredOutputCloud:
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"""Structured output tests against cloud APIs."""
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def test_structured_output_json_schema(self, setup_backend):
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"""Test structured output with json_schema format."""
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_, model, client, gateway = setup_backend
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params = {
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"model": model,
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"input": [
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{
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"role": "system",
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"content": "You are a helpful math tutor. Guide the user through the solution step by step.",
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},
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{"role": "user", "content": "how can I solve 8x + 7 = -23"},
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],
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"text": {
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"format": {
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"type": "json_schema",
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"name": "math_reasoning",
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"schema": {
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"type": "object",
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"properties": {
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"steps": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"explanation": {"type": "string"},
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"output": {"type": "string"},
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},
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"required": ["explanation", "output"],
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"additionalProperties": False,
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},
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},
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"final_answer": {"type": "string"},
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},
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"required": ["steps", "final_answer"],
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"additionalProperties": False,
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},
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"strict": True,
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}
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},
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}
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create_resp = client.responses.create(**params)
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assert create_resp.error is None
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assert create_resp.id is not None
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assert create_resp.output is not None
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assert create_resp.text is not None
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# Verify text format was echoed back correctly
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assert create_resp.text.format is not None
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assert create_resp.text.format.type == "json_schema"
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assert create_resp.text.format.name == "math_reasoning"
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assert create_resp.text.format.schema_ is not None
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assert create_resp.text.format.strict
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# Find the message output
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output_text = next(
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(
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content.text
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for item in create_resp.output
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if item.type == "message"
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for content in item.content
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if content.type == "output_text"
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),
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None,
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)
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assert output_text is not None, "No output_text found in response"
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assert output_text.strip(), "output_text is empty"
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# Parse JSON output
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output_json = json.loads(output_text)
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# Verify schema structure
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assert "steps" in output_json
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assert "final_answer" in output_json
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assert isinstance(output_json["steps"], list)
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assert len(output_json["steps"]) > 0
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# Verify each step has required fields
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for step in output_json["steps"]:
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assert "explanation" in step
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assert "output" in step
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# =============================================================================
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# Local Backend Tests (gRPC with Harmony model - complex schema)
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# =============================================================================
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@pytest.mark.e2e
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@pytest.mark.model("gpt-oss")
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@pytest.mark.gateway(
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extra_args=["--reasoning-parser=gpt-oss", "--history-backend", "memory"]
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)
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@pytest.mark.parametrize("setup_backend", ["grpc"], indirect=True)
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class TestStructuredOutputHarmony:
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"""Structured output tests against local gRPC backend with Harmony model."""
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def test_structured_output_json_schema(self, setup_backend):
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"""Test structured output with json_schema format."""
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_, model, client, gateway = setup_backend
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params = {
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"model": model,
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"input": [
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{
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"role": "system",
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"content": "You are a helpful math tutor. Guide the user through the solution step by step.",
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},
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{"role": "user", "content": "how can I solve 8x + 7 = -23"},
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],
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"text": {
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"format": {
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"type": "json_schema",
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"name": "math_reasoning",
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"schema": {
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"type": "object",
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"properties": {
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"steps": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"explanation": {"type": "string"},
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"output": {"type": "string"},
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},
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"required": ["explanation", "output"],
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"additionalProperties": False,
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},
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},
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"final_answer": {"type": "string"},
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},
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"required": ["steps", "final_answer"],
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"additionalProperties": False,
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},
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"strict": True,
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}
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},
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}
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create_resp = client.responses.create(**params)
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assert create_resp.error is None
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assert create_resp.id is not None
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assert create_resp.output is not None
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assert create_resp.text is not None
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# Verify text format was echoed back correctly
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assert create_resp.text.format is not None
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assert create_resp.text.format.type == "json_schema"
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assert create_resp.text.format.name == "math_reasoning"
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assert create_resp.text.format.schema_ is not None
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assert create_resp.text.format.strict
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# Find the message output (output[0] may be reasoning, output[1] is message)
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output_text = next(
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(
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content.text
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for item in create_resp.output
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if item.type == "message"
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for content in item.content
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if content.type == "output_text"
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),
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None,
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)
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assert output_text is not None, "No output_text found in response"
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assert output_text.strip(), "output_text is empty"
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# Parse JSON output
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output_json = json.loads(output_text)
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# Verify schema structure
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assert "steps" in output_json
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assert "final_answer" in output_json
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assert isinstance(output_json["steps"], list)
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assert len(output_json["steps"]) > 0
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# Verify each step has required fields
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for step in output_json["steps"]:
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assert "explanation" in step
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assert "output" in step
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# =============================================================================
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# Local Backend Tests (gRPC with Qwen model - simple schema)
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# =============================================================================
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@pytest.mark.e2e
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@pytest.mark.model("qwen-14b")
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@pytest.mark.gateway(
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extra_args=["--tool-call-parser", "qwen", "--history-backend", "memory"]
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)
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@pytest.mark.parametrize("setup_backend", ["grpc"], indirect=True)
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class TestSimpleSchemaStructuredOutput:
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"""Structured output tests with simpler schema for models that don't
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handle complex schemas well.
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"""
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def test_structured_output_json_schema(self, setup_backend):
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"""Test structured output with simple json_schema format."""
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_, model, client, gateway = setup_backend
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params = {
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"model": model,
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"input": [
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{
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"role": "system",
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"content": "You are a math solver. Return ONLY a JSON object that matches the schema-no extra text.",
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},
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{
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"role": "user",
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"content": "What is 1 + 1?",
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},
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],
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"text": {
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"format": {
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"type": "json_schema",
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"name": "math_answer",
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"schema": {
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"type": "object",
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"properties": {"answer": {"type": "string"}},
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"required": ["answer"],
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},
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}
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},
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}
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create_resp = client.responses.create(**params)
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assert create_resp.error is None
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assert create_resp.id is not None
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assert create_resp.output is not None
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assert create_resp.text is not None
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# Verify text format was echoed back correctly
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assert create_resp.text.format is not None
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assert create_resp.text.format.type == "json_schema"
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assert create_resp.text.format.name == "math_answer"
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assert create_resp.text.format.schema_ is not None
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# Find the message output
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output_text = next(
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(
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content.text
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for item in create_resp.output
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if item.type == "message"
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for content in item.content
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if content.type == "output_text"
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),
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None,
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)
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assert output_text is not None, "No output_text found in response"
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assert output_text.strip(), "output_text is empty"
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# Parse JSON output
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output_json = json.loads(output_text)
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# Verify simple schema structure (just answer field)
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assert "answer" in output_json
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assert isinstance(output_json["answer"], str)
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assert output_json["answer"], "Answer is empty"
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