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sglang/sgl-model-gateway/e2e_test/responses/test_structured_output.py
2026-01-07 17:40:03 -08:00

290 lines
10 KiB
Python

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