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agentscope-ai--agentscope/tests/formatter_openai_response_test.py
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chore: import upstream snapshot with attribution
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# -*- coding: utf-8 -*-
"""Comprehensive formatter unit tests for OpenAIResponseFormatter and
OpenAIResponseMultiAgentFormatter, following the reference test style with
exact ground-truth comparisons.
Key differences from OpenAI Chat formatter:
- Text content type is "input_text" (not "text").
- Image content type is "input_image" with flat "image_url" string.
- Tool calls become top-level "function_call" items (not nested in a msg).
- Tool results become top-level "function_call_output" items.
- ThinkingBlock: only echoed when it has a "reasoning_item_id" attribute.
"""
from unittest import IsolatedAsyncioTestCase
from unittest.mock import patch
from agentscope.formatter import (
OpenAIResponseFormatter,
OpenAIResponseMultiAgentFormatter,
)
from agentscope.message import (
UserMsg,
AssistantMsg,
SystemMsg,
TextBlock,
DataBlock,
ToolCallBlock,
ToolResultBlock,
ToolResultState,
Base64Source,
URLSource,
ThinkingBlock,
HintBlock,
)
_FIXED_ID = "TESTID1234567"
class TestOpenAIResponseFormatter(IsolatedAsyncioTestCase):
"""Comprehensive tests for OpenAI Responses API formatters."""
async def asyncSetUp(self) -> None:
"""Set up shared message fixtures and expected ground-truth dicts."""
_img_src = URLSource(
url="https://example.com/image.png",
media_type="image/png",
)
self.image_url = str(_img_src.url)
self.image_b64 = "ZmFrZSBpbWFnZSBkYXRh"
self.image_data_uri = f"data:image/png;base64,{self.image_b64}"
# ---------------------------------------------------------------
# Message fixtures (no audio to avoid downloads)
# ---------------------------------------------------------------
self.msgs_system = [
SystemMsg(
name="system",
content="You're a helpful assistant.",
),
]
self.msgs_conversation = [
UserMsg(
name="user",
content=[
TextBlock(text="What is the capital of France?"),
DataBlock(
source=URLSource(
url=self.image_url,
media_type="image/png",
),
),
],
),
AssistantMsg(
name="assistant",
content="The capital of France is Paris.",
),
UserMsg(
name="user",
content="What is the capital of Germany?",
),
AssistantMsg(
name="assistant",
content="The capital of Germany is Berlin.",
),
UserMsg(
name="user",
content="What is the capital of Japan?",
),
]
self.msgs_tools = [
AssistantMsg(
name="assistant",
content=[
ToolCallBlock(
id="call_1",
name="get_capital",
input='{"country": "Japan"}',
),
ToolResultBlock(
id="call_1",
name="get_capital",
output=[
TextBlock(text="The capital of Japan is Tokyo."),
],
state=ToolResultState.SUCCESS,
),
TextBlock(text="The capital of Japan is Tokyo."),
],
),
]
# ---------------------------------------------------------------
# Ground truth: OpenAIResponseFormatter
# - Text: {"type": "input_text", "text": ...}
# - Image: {"type": "input_image", "image_url": url_string}
# - ToolCallBlock → top-level {"type": "function_call", ...} item
# - ToolResultBlock → top-level {"type": "function_call_output", ...}
# - No "name" field on messages.
# ---------------------------------------------------------------
self.gt_chat = [
{
"role": "system",
"content": [
{
"type": "input_text",
"text": "You're a helpful assistant.",
},
],
},
{
"role": "user",
"content": [
{
"type": "input_text",
"text": "What is the capital of France?",
},
{"type": "input_image", "image_url": self.image_url},
],
},
{
"role": "assistant",
"content": [
{
"type": "output_text",
"text": "The capital of France is Paris.",
},
],
},
{
"role": "user",
"content": [
{
"type": "input_text",
"text": "What is the capital of Germany?",
},
],
},
{
"role": "assistant",
"content": [
{
"type": "output_text",
"text": "The capital of Germany is Berlin.",
},
],
},
{
"role": "user",
"content": [
{
"type": "input_text",
"text": "What is the capital of Japan?",
},
],
},
{
"type": "function_call",
"call_id": "call_1",
"name": "get_capital",
"arguments": '{"country": "Japan"}',
},
{
"type": "function_call_output",
"call_id": "call_1",
"output": "The capital of Japan is Tokyo.",
},
{
"role": "assistant",
"content": [
{
"type": "output_text",
"text": "The capital of Japan is Tokyo.",
},
],
},
]
# ---------------------------------------------------------------
# Ground truth: OpenAIResponseMultiAgentFormatter
# - System: {"role": "system", "content": plain_string}
# - Conversation history: input_text with history wrapping.
# - Tool sequences use OpenAIResponseFormatter (function_call /
# function_call_output top-level items).
# ---------------------------------------------------------------
_hist_prompt = (
OpenAIResponseMultiAgentFormatter().conversation_history_prompt
)
_conv_text = (
"user: What is the capital of France?\n"
"assistant: The capital of France is Paris.\n"
"user: What is the capital of Germany?\n"
"assistant: The capital of Germany is Berlin.\n"
"user: What is the capital of Japan?"
)
self._gt_trailing_asst = {
"role": "assistant",
"content": [
{
"type": "output_text",
"text": "The capital of Japan is Tokyo.",
},
],
}
self._gt_tool_call = {
"type": "function_call",
"call_id": "call_1",
"name": "get_capital",
"arguments": '{"country": "Japan"}',
}
self._gt_tool_result = {
"type": "function_call_output",
"call_id": "call_1",
"output": "The capital of Japan is Tokyo.",
}
self.gt_multiagent = [
{
"role": "system",
"content": "You're a helpful assistant.",
},
{
"role": "user",
"content": [
{
"type": "input_text",
"text": (
_hist_prompt
+ "<history>\n"
+ _conv_text
+ "\n</history>"
),
},
{"type": "input_image", "image_url": self.image_url},
],
},
self._gt_tool_call,
self._gt_tool_result,
self._gt_trailing_asst,
]
# -------------------------------------------------------------------
# OpenAIResponseFormatter tests
# -------------------------------------------------------------------
async def test_chat_formatter(self) -> None:
"""Chat formatter produces exact output for various subsets."""
fmt = OpenAIResponseFormatter()
# Full history
res = await fmt.format(
[*self.msgs_system, *self.msgs_conversation, *self.msgs_tools],
)
self.assertListEqual(self.gt_chat, res)
# Without system
res = await fmt.format([*self.msgs_conversation, *self.msgs_tools])
self.assertListEqual(self.gt_chat[1:], res)
# Without conversation
n_tools_gt = len(self.gt_chat) - 1 - len(self.msgs_conversation)
res = await fmt.format([*self.msgs_system, *self.msgs_tools])
self.assertListEqual(
[self.gt_chat[0]] + self.gt_chat[-n_tools_gt:],
res,
)
# Without tools
res = await fmt.format([*self.msgs_system, *self.msgs_conversation])
self.assertListEqual(self.gt_chat[:-n_tools_gt], res)
# Empty
res = await fmt.format([])
self.assertListEqual([], res)
async def test_chat_formatter_base64_image(self) -> None:
"""Base64-encoded image becomes an input_image item with data URI."""
fmt = OpenAIResponseFormatter()
msgs = [
UserMsg(
name="user",
content=[
TextBlock(text="What's in this image?"),
DataBlock(
source=Base64Source(
data=self.image_b64,
media_type="image/png",
),
),
],
),
]
res = await fmt.format(msgs)
self.assertListEqual(
[
{
"role": "user",
"content": [
{
"type": "input_text",
"text": "What's in this image?",
},
{
"type": "input_image",
"image_url": self.image_data_uri,
},
],
},
],
res,
)
async def test_chat_formatter_thinking_dropped_without_reasoning_item_id(
self,
) -> None:
"""ThinkingBlock without reasoning_item_id is silently skipped."""
fmt = OpenAIResponseFormatter()
msgs = [
AssistantMsg(
name="assistant",
content=[
ThinkingBlock(thinking="inner thoughts"),
TextBlock(text="reply"),
],
),
]
res = await fmt.format(msgs)
self.assertListEqual(
[
{
"role": "assistant",
"content": [
{"type": "output_text", "text": "reply"},
],
},
],
res,
)
async def test_chat_formatter_thinking_echoed_with_reasoning_item_id(
self,
) -> None:
"""ThinkingBlock with reasoning_item_id is echoed as a reasoning
item."""
fmt = OpenAIResponseFormatter()
thinking = ThinkingBlock(thinking="my reasoning")
thinking.reasoning_item_id = "rs_001"
msgs = [
AssistantMsg(
name="assistant",
content=[thinking, TextBlock(text="reply")],
),
]
res = await fmt.format(msgs)
self.assertListEqual(
[
{
"type": "reasoning",
"id": "rs_001",
"summary": [
{"type": "summary_text", "text": "my reasoning"},
],
"content": [],
},
{
"role": "assistant",
"content": [
{"type": "output_text", "text": "reply"},
],
},
],
res,
)
@patch(
"agentscope.formatter._formatter_base.shortuuid.uuid",
return_value=_FIXED_ID,
)
async def test_chat_formatter_url_image_in_tool_result(
self,
_mock_uuid: object,
) -> None:
"""URL images in tool results are promoted to a follow-up user
message."""
fmt = OpenAIResponseFormatter()
msgs = [
AssistantMsg(
name="assistant",
content=[
ToolCallBlock(
id="call_img",
name="get_map",
input='{"city": "Tokyo"}',
),
ToolResultBlock(
id="call_img",
name="get_map",
output=[
TextBlock(text="Here is the map."),
DataBlock(
source=URLSource(
url=self.image_url,
media_type="image/png",
),
),
],
state=ToolResultState.SUCCESS,
),
TextBlock(text="Here is the map of Tokyo."),
],
),
]
res = await fmt.format(msgs)
expected_tool_content = (
"Here is the map.\n"
f"<system-reminder>A(n) image file is returned "
f"and will be presented to you with the identifier "
f"[{_FIXED_ID}].</system-reminder>"
)
self.assertListEqual(
[
{
"type": "function_call",
"call_id": "call_img",
"name": "get_map",
"arguments": '{"city": "Tokyo"}',
},
{
"type": "function_call_output",
"call_id": "call_img",
"output": expected_tool_content,
},
{
"role": "user",
"content": [
{
"type": "input_text",
"text": (
"<system-reminder>The multimodal data "
"and their identifiers are listed as "
"follows:"
),
},
{
"type": "input_text",
"text": f"- {_FIXED_ID} (image file): ",
},
{
"type": "input_image",
"image_url": self.image_url,
},
{
"type": "input_text",
"text": "</system-reminder>",
},
],
},
{
"role": "assistant",
"content": [
{
"type": "output_text",
"text": "Here is the map of Tokyo.",
},
],
},
],
res,
)
# -------------------------------------------------------------------
# OpenAIResponseMultiAgentFormatter tests
# -------------------------------------------------------------------
async def test_multiagent_formatter(self) -> None:
"""MultiAgent formatter produces exact output for various subsets."""
fmt = OpenAIResponseMultiAgentFormatter()
# Full history
res = await fmt.format(
[*self.msgs_system, *self.msgs_conversation, *self.msgs_tools],
)
self.assertListEqual(self.gt_multiagent, res)
# Without system
res = await fmt.format([*self.msgs_conversation, *self.msgs_tools])
self.assertListEqual(self.gt_multiagent[1:], res)
# Without tools
res = await fmt.format([*self.msgs_system, *self.msgs_conversation])
self.assertListEqual(self.gt_multiagent[:2], res)
# System only
res = await fmt.format(self.msgs_system)
self.assertListEqual([self.gt_multiagent[0]], res)
# Conversation only
res = await fmt.format(self.msgs_conversation)
self.assertListEqual([self.gt_multiagent[1]], res)
# Tools only
res = await fmt.format(self.msgs_tools)
self.assertListEqual(
[
self._gt_tool_call,
self._gt_tool_result,
self._gt_trailing_asst,
],
res,
)
# System + tools
res = await fmt.format([*self.msgs_system, *self.msgs_tools])
self.assertListEqual(
[
self.gt_multiagent[0],
self._gt_tool_call,
self._gt_tool_result,
self._gt_trailing_asst,
],
res,
)
# Empty
res = await fmt.format([])
self.assertListEqual([], res)
async def test_chat_formatter_complex_multi_step(self) -> None:
"""Complex multi-step sequence with interleaved thinking, text,
tool calls, and tool results."""
fmt = OpenAIResponseFormatter()
msgs = [
AssistantMsg(
name="assistant",
content=[
ThinkingBlock(thinking="thinking_1"),
TextBlock(text="text_1"),
ToolCallBlock(
id="call_1",
name="func_1",
input='{"arg": "value1"}',
),
ToolCallBlock(
id="call_2",
name="func_2",
input='{"arg": "value2"}',
),
ToolResultBlock(
id="call_1",
name="func_1",
output=[TextBlock(text="result_1")],
state=ToolResultState.SUCCESS,
),
ToolResultBlock(
id="call_2",
name="func_2",
output=[TextBlock(text="result_2")],
state=ToolResultState.SUCCESS,
),
ThinkingBlock(thinking="thinking_2"),
TextBlock(text="text_2"),
ToolCallBlock(
id="call_3",
name="func_3",
input='{"arg": "value3"}',
),
ToolResultBlock(
id="call_3",
name="func_3",
output=[TextBlock(text="result_3")],
state=ToolResultState.SUCCESS,
),
ToolCallBlock(
id="call_4",
name="func_4",
input='{"arg": "value4"}',
),
ToolResultBlock(
id="call_4",
name="func_4",
output=[TextBlock(text="result_4")],
state=ToolResultState.SUCCESS,
),
ThinkingBlock(thinking="thinking_3"),
TextBlock(text="text_3"),
],
),
]
res = await fmt.format(msgs)
self.assertListEqual(
[
{
"role": "assistant",
"content": [
{"type": "output_text", "text": "text_1"},
],
},
{
"type": "function_call",
"call_id": "call_1",
"name": "func_1",
"arguments": '{"arg": "value1"}',
},
{
"type": "function_call",
"call_id": "call_2",
"name": "func_2",
"arguments": '{"arg": "value2"}',
},
{
"type": "function_call_output",
"call_id": "call_1",
"output": "result_1",
},
{
"type": "function_call_output",
"call_id": "call_2",
"output": "result_2",
},
{
"role": "assistant",
"content": [
{"type": "output_text", "text": "text_2"},
],
},
{
"type": "function_call",
"call_id": "call_3",
"name": "func_3",
"arguments": '{"arg": "value3"}',
},
{
"type": "function_call_output",
"call_id": "call_3",
"output": "result_3",
},
{
"type": "function_call",
"call_id": "call_4",
"name": "func_4",
"arguments": '{"arg": "value4"}',
},
{
"type": "function_call_output",
"call_id": "call_4",
"output": "result_4",
},
{
"role": "assistant",
"content": [
{"type": "output_text", "text": "text_3"},
],
},
],
res,
)
async def test_chat_formatter_hint_block(self) -> None:
"""HintBlock flushes preceding content and becomes a user message."""
fmt = OpenAIResponseFormatter()
msgs = [
AssistantMsg(
name="assistant",
content=[
TextBlock(text="Let me think about that."),
HintBlock(hint="Remember to be concise."),
TextBlock(text="Here is my answer."),
],
),
]
res = await fmt.format(msgs)
self.assertListEqual(
[
{
"role": "assistant",
"content": [
{
"type": "output_text",
"text": "Let me think about that.",
},
],
},
{
"role": "user",
"content": [
{
"type": "input_text",
"text": "Remember to be concise.",
},
],
},
{
"role": "assistant",
"content": [
{
"type": "output_text",
"text": "Here is my answer.",
},
],
},
],
res,
)
async def test_chat_formatter_hint_block_multimodal(self) -> None:
"""Multimodal HintBlock becomes a single user message with text +
image."""
fmt = OpenAIResponseFormatter()
msgs = [
AssistantMsg(
name="assistant",
content=[
HintBlock(
hint=[
TextBlock(text="Inspect this screenshot:"),
DataBlock(
source=Base64Source(
data=self.image_b64,
media_type="image/png",
),
),
],
),
],
),
]
res = await fmt.format(msgs)
self.assertListEqual(
[
{
"role": "user",
"content": [
{
"type": "input_text",
"text": "Inspect this screenshot:",
},
{
"type": "input_image",
"image_url": self.image_data_uri,
},
],
},
],
res,
)
async def test_tool_call_id_used_as_call_id(self) -> None:
"""The formatter uses ToolCallBlock.id as function_call.call_id
and ToolResultBlock.id as function_call_output.call_id."""
fmt = OpenAIResponseFormatter()
msgs = [
AssistantMsg(
name="assistant",
content=[
ToolCallBlock(
id="call-1",
name="search",
input='{"q": "test"}',
),
ToolResultBlock(
id="call-1",
name="search",
output=[TextBlock(text="result")],
state=ToolResultState.SUCCESS,
),
],
),
]
res = await fmt.format(msgs)
self.assertListEqual(
[
{
"type": "function_call",
"call_id": "call-1",
"name": "search",
"arguments": '{"q": "test"}',
},
{
"type": "function_call_output",
"call_id": "call-1",
"output": "result",
},
],
res,
)
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