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chore: import upstream snapshot with attribution
2026-07-13 12:55:37 +08:00

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Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Unit tests for vllm.entrypoints.openai.responses.harmony."""
import pytest
from openai.types.responses import (
ResponseFunctionToolCall,
ResponseFunctionWebSearch,
ResponseOutputMessage,
ResponseReasoningItem,
)
from openai.types.responses.response_output_item import McpCall
from openai_harmony import Author, Message, Role, TextContent
from vllm.entrypoints.openai.responses.harmony import (
harmony_to_response_output,
response_previous_input_to_harmony,
)
class TestResponsePreviousInputToHarmony:
"""
Tests for scenarios that are specific to the Responses API
response_previous_input_to_harmony function.
"""
def test_message_with_empty_content(self):
"""Test parsing message with empty string content."""
chat_msg = {
"role": "user",
"content": "",
}
messages = response_previous_input_to_harmony(chat_msg)
assert len(messages) == 1
assert messages[0].content[0].text == ""
def test_tool_message_with_string_content(self):
"""Test parsing tool message with string content."""
chat_msg = {
"role": "tool",
"name": "get_weather",
"content": "The weather in San Francisco is sunny, 72°F",
}
messages = response_previous_input_to_harmony(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.TOOL
assert messages[0].author.name == "functions.get_weather"
assert (
messages[0].content[0].text == "The weather in San Francisco is sunny, 72°F"
)
assert messages[0].channel == "commentary"
def test_tool_message_with_array_content(self):
"""Test parsing tool message with array content."""
chat_msg = {
"role": "tool",
"name": "search_results",
"content": [
{"type": "text", "text": "Result 1: "},
{"type": "text", "text": "Result 2: "},
{
"type": "image",
"url": "http://example.com/img.png",
}, # Should be ignored
{"type": "text", "text": "Result 3"},
],
}
messages = response_previous_input_to_harmony(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.TOOL
assert messages[0].author.name == "functions.search_results"
assert messages[0].content[0].text == "Result 1: Result 2: Result 3"
def test_tool_message_with_empty_content(self):
"""Test parsing tool message with None content."""
chat_msg = {
"role": "tool",
"name": "empty_tool",
"content": None,
}
messages = response_previous_input_to_harmony(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.TOOL
assert messages[0].author.name == "functions.empty_tool"
assert messages[0].content[0].text == ""
class TestHarmonyToResponseOutput:
"""Tests for harmony_to_response_output function."""
@pytest.mark.parametrize("incomplete", [False, True])
def test_commentary_with_no_recipient_creates_message(self, incomplete):
"""Test that commentary with recipient=None (preambles) creates message items.
Per Harmony format, preambles are intended to be shown to end-users,
unlike analysis channel content which is hidden reasoning.
See: https://cookbook.openai.com/articles/openai-harmony
"""
message = Message.from_role_and_content(
Role.ASSISTANT, "I will now search for the weather information."
)
message = message.with_channel("commentary")
# recipient is None by default, representing a preamble
output_items = harmony_to_response_output(
message, frozenset(), incomplete=incomplete
)
assert len(output_items) == 1
assert isinstance(output_items[0], ResponseOutputMessage)
assert output_items[0].type == "message"
assert output_items[0].role == "assistant"
assert output_items[0].status == ("incomplete" if incomplete else "completed")
assert len(output_items[0].content) == 1
assert output_items[0].content[0].type == "output_text"
assert (
output_items[0].content[0].text
== "I will now search for the weather information."
)
@pytest.mark.parametrize("channel", ["commentary", "comment", "analysis", "final"])
@pytest.mark.parametrize(
("recipient", "fn_names", "expected_name"),
[
("functions.get_weather", frozenset(), "get_weather"),
("get_weather", frozenset({"get_weather"}), "get_weather"),
("math.sum", frozenset({"math.sum"}), "math.sum"),
],
)
@pytest.mark.parametrize("incomplete", [False, True])
def test_function_recipient_creates_function_call(
self, channel, recipient, fn_names, expected_name, incomplete
):
"""Function recipients create function calls across channels."""
content = '{"location": "San Francisco"}'
if recipient == "math.sum":
content = '{"a": 1, "b": 2}'
message = Message.from_role_and_content(Role.ASSISTANT, content)
message = message.with_channel(channel)
message = message.with_recipient(recipient)
output_items = harmony_to_response_output(
message, fn_names, incomplete=incomplete
)
assert len(output_items) == 1
assert isinstance(output_items[0], ResponseFunctionToolCall)
assert output_items[0].type == "function_call"
assert output_items[0].name == expected_name
assert output_items[0].arguments == content
assert output_items[0].call_id.startswith("call_")
assert output_items[0].id.startswith("fc_")
assert output_items[0].status == ("incomplete" if incomplete else "completed")
@pytest.mark.parametrize("channel", ["commentary", "comment", "analysis", "final"])
@pytest.mark.parametrize(
("recipient", "content"),
[
("python", "import numpy as np\nprint(np.array([1, 2, 3]))"),
("browser", "Navigating to the specified URL"),
("container", "Running command in container"),
],
)
@pytest.mark.parametrize("incomplete", [False, True])
def test_builtin_recipient_creates_reasoning(
self, channel, recipient, content, incomplete
):
"""Built-in recipients create reasoning items."""
message = Message.from_role_and_content(Role.ASSISTANT, content)
message = message.with_channel(channel)
message = message.with_recipient(recipient)
output_items = harmony_to_response_output(
message, frozenset(), incomplete=incomplete
)
assert len(output_items) == 1
assert isinstance(output_items[0], ResponseReasoningItem)
assert output_items[0].type == "reasoning"
assert output_items[0].content[0].text == content
assert output_items[0].status is None
@pytest.mark.parametrize("channel", ["commentary", "comment", "analysis", "final"])
@pytest.mark.parametrize(
("recipient", "fn_names", "content", "expected_name", "expected_server_label"),
[
(
"get_weather",
frozenset(),
'{"arg": "value"}',
"get_weather",
"get_weather",
),
(
"not_get_weather",
frozenset({"get_weather"}),
'{"arg": "value"}',
"not_get_weather",
"not_get_weather",
),
("repo_browser.list", frozenset(), '{"cmd": "ls"}', "list", "repo_browser"),
],
)
@pytest.mark.parametrize("incomplete", [False, True])
def test_non_function_non_builtin_recipient_creates_mcp_call(
self,
channel,
recipient,
fn_names,
content,
expected_name,
expected_server_label,
incomplete,
):
"""Non-function, non-built-in recipients create MCP calls."""
message = Message.from_role_and_content(Role.ASSISTANT, content)
message = message.with_channel(channel)
message = message.with_recipient(recipient)
output_items = harmony_to_response_output(
message, fn_names, incomplete=incomplete
)
assert len(output_items) == 1
assert isinstance(output_items[0], McpCall)
assert output_items[0].type == "mcp_call"
assert output_items[0].name == expected_name
assert output_items[0].server_label == expected_server_label
assert output_items[0].arguments == content
assert output_items[0].status == ("incomplete" if incomplete else "completed")
@pytest.mark.parametrize("incomplete", [False, True])
def test_browser_search_recipient_respects_incomplete(self, incomplete):
"""browser.search emits a web search call unless the item is incomplete."""
message = Message.from_role_and_content(
Role.ASSISTANT, '{"query": "weather in San Francisco"}'
)
message = message.with_channel("commentary")
message = message.with_recipient("browser.search")
output_items = harmony_to_response_output(
message, frozenset(), incomplete=incomplete
)
if incomplete:
assert output_items == []
return
assert len(output_items) == 1
assert isinstance(output_items[0], ResponseFunctionWebSearch)
assert output_items[0].type == "web_search_call"
assert output_items[0].status == "completed"
assert output_items[0].action.type == "search"
assert output_items[0].action.query == "cursor:weather in San Francisco"
def test_commentary_with_empty_content_and_no_recipient(self):
"""Test edge case: empty commentary with recipient=None."""
message = Message.from_role_and_content(Role.ASSISTANT, "")
message = message.with_channel("commentary")
output_items = harmony_to_response_output(message, frozenset())
assert len(output_items) == 1
assert isinstance(output_items[0], ResponseOutputMessage)
assert output_items[0].content[0].text == ""
def test_commentary_with_multiple_contents_and_no_recipient(self):
"""Test multiple content items in commentary with no recipient."""
contents = [
TextContent(text="Step 1: Analyze the request"),
TextContent(text="Step 2: Prepare to call functions"),
]
message = Message.from_role_and_contents(Role.ASSISTANT, contents)
message = message.with_channel("commentary")
output_items = harmony_to_response_output(message, frozenset())
# _parse_final_message returns single ResponseOutputMessage with
# multiple contents
assert len(output_items) == 1
assert isinstance(output_items[0], ResponseOutputMessage)
assert len(output_items[0].content) == 2
assert output_items[0].content[0].text == "Step 1: Analyze the request"
assert output_items[0].content[1].text == "Step 2: Prepare to call functions"
def test_commentary_with_multiple_function_calls(self):
"""Test multiple function calls in commentary channel."""
contents = [
TextContent(text='{"location": "San Francisco"}'),
TextContent(text='{"location": "New York"}'),
]
message = Message.from_role_and_contents(Role.ASSISTANT, contents)
message = message.with_channel("commentary")
message = message.with_recipient("functions.get_weather")
output_items = harmony_to_response_output(message, frozenset())
assert len(output_items) == 2
assert all(isinstance(item, ResponseFunctionToolCall) for item in output_items)
assert output_items[0].name == "get_weather"
assert output_items[1].name == "get_weather"
assert output_items[0].arguments == '{"location": "San Francisco"}'
assert output_items[1].arguments == '{"location": "New York"}'
def test_analysis_channel_creates_reasoning(self):
"""Test that analysis channel creates reasoning items."""
message = Message.from_role_and_content(
Role.ASSISTANT, "Analyzing the problem step by step..."
)
message = message.with_channel("analysis")
output_items = harmony_to_response_output(message, frozenset())
assert len(output_items) == 1
assert isinstance(output_items[0], ResponseReasoningItem)
assert output_items[0].type == "reasoning"
assert (
output_items[0].content[0].text == "Analyzing the problem step by step..."
)
def test_non_assistant_message_returns_empty(self):
"""Test that non-assistant messages return empty list.
Per the implementation, tool messages to assistant (e.g., search results)
are not included in final output to align with OpenAI behavior.
"""
message = Message.from_author_and_content(
Author.new(Role.TOOL, "functions.get_weather"),
"The weather is sunny, 72°F",
)
output_items = harmony_to_response_output(message, frozenset())
assert len(output_items) == 0