@@ -1,21 +1,37 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import pytest
from openai.types.responses import ResponseFunctionToolCall, ResponseReasoningItem
from openai.types.responses.response_output_item import McpCall
from openai_harmony import Author, Message, Role, TextContent
from tests.entrypoints.openai.utils import verify_harmony_messages
from vllm.entrypoints.openai.parser.harmony_utils import (
auto_drop_analysis_messages,
get_encoding,
has_custom_tools,
parse_chat_input_to_harmony_message,
parse_chat_output,
parse_input_to_harmony_message,
parse_output_message,
)
class TestParseInputToHarmonyMessage:
"""Tests for parse_input_to_harmony_message function."""
class TestCommonParseInputToHarmonyMessage:
"""
Tests for scenarios that are common to both Chat Completion
parse_chat_input_to_harmony_message and Responsees API
parse_input_to_harmony_message functions.
"""
@pytest.fixture(
params=[parse_chat_input_to_harmony_message, parse_input_to_harmony_message]
)
def parse_function(self, request):
return request.param
def test_assistant_message_with_tool_calls(self):
def test_assistant_message_with_tool_calls(self, parse_function ):
"""Test parsing assistant message with tool calls."""
chat_msg = {
"role": "assistant",
@@ -35,7 +51,7 @@ class TestParseInputToHarmonyMessage:
],
}
messages = parse_input_to_harmony_message (chat_msg)
messages = parse_function (chat_msg)
assert len(messages) == 2
@@ -53,7 +69,7 @@ class TestParseInputToHarmonyMessage:
assert messages[1].recipient == "functions.search_web"
assert messages[1].content_type == "json"
def test_assistant_message_with_empty_tool_call_arguments(self):
def test_assistant_message_with_empty_tool_call_arguments(self, parse_function ):
"""Test parsing assistant message with tool call having None arguments."""
chat_msg = {
"role": "assistant",
@@ -67,12 +83,152 @@ class TestParseInputToHarmonyMessage:
],
}
messages = parse_input_to_harmony_message (chat_msg)
messages = parse_function (chat_msg)
assert len(messages) == 1
assert messages[0].content[0].text == ""
assert messages[0].recipient == "functions.get_current_time"
def test_system_message(self, parse_function):
"""Test parsing system message."""
chat_msg = {
"role": "system",
"content": "You are a helpful assistant",
}
messages = parse_function(chat_msg)
assert len(messages) == 1
# System messages are converted using Message.from_dict
# which should preserve the role
assert messages[0].author.role == Role.SYSTEM
def test_developer_message(self, parse_function):
"""Test parsing developer message."""
chat_msg = {
"role": "developer",
"content": "Use concise language",
}
messages = parse_function(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.DEVELOPER
def test_user_message_with_string_content(self, parse_function):
"""Test parsing user message with string content."""
chat_msg = {
"role": "user",
"content": "What's the weather in San Francisco?",
}
messages = parse_function(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.USER
assert messages[0].content[0].text == "What's the weather in San Francisco?"
def test_user_message_with_array_content(self, parse_function):
"""Test parsing user message with array content."""
chat_msg = {
"role": "user",
"content": [
{"text": "What's in this image? "},
{"text": "Please describe it."},
],
}
messages = parse_function(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.USER
assert len(messages[0].content) == 2
assert messages[0].content[0].text == "What's in this image? "
assert messages[0].content[1].text == "Please describe it."
def test_assistant_message_with_string_content(self, parse_function):
"""Test parsing assistant message with string content (no tool calls)."""
chat_msg = {
"role": "assistant",
"content": "Hello! How can I help you today?",
}
messages = parse_function(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.ASSISTANT
assert messages[0].content[0].text == "Hello! How can I help you today?"
def test_pydantic_model_input(self, parse_function):
"""Test parsing Pydantic model input (has model_dump method)."""
class MockPydanticModel:
def model_dump(self, exclude_none=True):
return {
"role": "user",
"content": "Test message",
}
chat_msg = MockPydanticModel()
messages = parse_function(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.USER
assert messages[0].content[0].text == "Test message"
def test_tool_call_with_missing_function_fields(self, parse_function):
"""Test parsing tool call with missing name or arguments."""
chat_msg = {
"role": "assistant",
"tool_calls": [
{
"function": {} # Missing both name and arguments
}
],
}
messages = parse_function(chat_msg)
assert len(messages) == 1
assert messages[0].recipient == "functions."
assert messages[0].content[0].text == ""
def test_array_content_with_missing_text(self, parse_function):
"""Test parsing array content where text field is missing."""
chat_msg = {
"role": "user",
"content": [
{}, # Missing text field
{"text": "actual text"},
],
}
messages = parse_function(chat_msg)
assert len(messages) == 1
assert len(messages[0].content) == 2
assert messages[0].content[0].text == ""
assert messages[0].content[1].text == "actual text"
class TestParseInputToHarmonyMessage:
"""
Tests for scenarios that are specific to the Responses API
parse_input_to_harmony_message function.
"""
def test_message_with_empty_content(self):
"""Test parsing message with empty string content."""
chat_msg = {
"role": "user",
"content": "",
}
messages = parse_input_to_harmony_message(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 = {
@@ -111,6 +267,7 @@ class TestParseInputToHarmonyMessage:
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):
@@ -124,140 +281,564 @@ class TestParseInputToHarmonyMessage:
messages = parse_input_to_harmony_message(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 == ""
def test_system_message(self):
"""Test parsing system message."""
class TestParseChatInputToHarmonyMessage:
"""
Tests for scenarios that are specific to the Chat Completion API
parse_chat_input_to_harmony_message function.
"""
def test_user_message_with_empty_content(self):
chat_msg = {
"role": "system",
"content": "You are a helpful assistant",
"role": "user ",
"content": "",
}
messages = parse_input_to_harmony_message(chat_msg)
messages = parse_chat_ input_to_harmony_message(chat_msg)
assert len(messages) == 1
# System messages are converted using Message.from_dict
# which should preserve the role
assert messages[0].author.role == Role.SYSTEM
verify_harmony_messages(
messages,
[
{
"role": "user",
"content": "",
},
],
)
def test_developer_message(self):
"""Test parsing developer message."""
def test_user_message_with_none_content(self):
chat_msg = {
"role": "developer",
"content": "Use concise language" ,
"role": "us er",
"content": None ,
}
messages = parse_input_to_harmony_message(chat_msg)
messages = parse_chat_ input_to_harmony_message(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.DEVELOPER
verify_harmony_messages(
messages,
[
{
"role": "user",
"content": "",
},
],
)
def test_user_message_with_string_content(self):
"""Test parsing user message with string content."""
def test_assistant_message_with_empty_content(self):
chat_msg = {
"role": "user",
"content": "What's the weather in San Francisco?",
"role": "assistant ",
"content": "",
}
messages = parse_input_to_harmony_message(chat_msg)
messages = parse_chat_ input_to_harmony_message(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.USER
assert messages[0].content[0].text == "What's the weather in San Francisco?"
assert len(messages) == 0
def test_user_message_with_array_content(self):
"""Test parsing user message with array content."""
def test_assistant_message_with_none_content(self):
chat_msg = {
"role": "user",
"content": [
{"text": "What's in this image? "},
{"text": "Please describe it."},
"role": "assistant",
"content": None,
}
messages = parse_chat_input_to_harmony_message(chat_msg)
assert len(messages) == 0
def test_assistant_message_with_content_but_empty_reasoning(self):
chat_msg = {
"role": "assistant",
"content": "The answer is 4.",
"reasoning": "",
}
messages = parse_chat_input_to_harmony_message(chat_msg)
verify_harmony_messages(
messages,
[
{
"role": "assistant",
"channel": "final",
"content": "The answer is 4.",
},
],
)
def test_assistant_message_with_reasoning_but_empty_content(self):
chat_msg = {
"role": "assistant",
"reasoning": "I'm thinking about the user's question.",
"content": "",
}
messages = parse_input_to_harmony_message(chat_msg)
messages = parse_chat_ input_to_harmony_message(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.USER
assert len(messages[0].content) == 2
assert messages[0].content[0].text == "What's in this image? "
assert messages[0].content[1].text == "Please describe it."
verify_harmony_messages(
messages,
[
{
"role": "assistant",
"channel": "analysis",
"content": "I'm thinking about the user's question.",
},
],
)
def test_assistant_message_with_string_content(self):
"""Test parsing assistant message with string content (no tool calls)."""
def test_assistant_message_with_reasoning_but_none_content(self):
chat_msg = {
"role": "assistant",
"content": "Hello! How can I help you today?",
"reasoning": "I'm thinking about the user's question.",
"content": None,
}
messages = parse_input_to_harmony_message(chat_msg)
messages = parse_chat_ input_to_harmony_message(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.ASSISTANT
assert messages[0].content[0].text == "Hello! How can I help you today?"
verify_harmony_messages(
messages,
[
{
"role": "assistant",
"channel": "analysis",
"content": "I'm thinking about the user's question.",
},
],
)
def test_pydantic_model_input(self):
"""Test parsing Pydantic model input (has model_dump method)."""
def test_assistant_message_with_tool_calls_but_no_content(self):
chat_msg = {
"role": "assistant",
"tool_calls": [
{
"function": {
"name": "get_weather",
"arguments": '{"location": "San Francisco"}',
}
}
],
}
class MockPydanticModel:
def model_dump(self, exclude_none=True):
return {
"role": "user",
"content": "Test message",
messages = parse_chat_input_to_harmony_message(chat_msg)
verify_harmony_messages(
messages,
[
{
"role": "assistant",
"channel": "commentary",
"recipient": "functions.get_weather",
"content": '{"location": "San Francisco"}',
"content_type": "json",
},
],
)
def test_assistant_message_with_tool_calls_and_content(self):
chat_msg = {
"role": "assistant",
"tool_calls": [
{
"function": {
"name": "get_weather",
"arguments": '{"location": "San Francisco"}',
}
}
],
"content": "I'll call the tool.",
}
chat_msg = MockPydanticModel()
messages = parse_input_to_harmony_message(chat_msg)
messages = parse_chat_input_to_harmony_message(chat_msg)
assert len(messages) == 1
assert messages[0].author.role == Role.USER
assert messages[0].content[0].text == "Test message"
verify_harmony_messages(
messages,
[
{
"role": "assistant",
"channel": "commentary",
"content": "I'll call the tool.",
},
{
"role": "assistant",
"channel": "commentary",
"recipient": "functions.get_weather",
"content": '{"location": "San Francisco"}',
"content_type": "json",
},
],
)
def test_message_with_empty_content(self):
"""Test parsing message with empty string content."""
def test_assistant_message_with_tool_calls_and_reasoning(self):
chat_msg = {
"role": "user",
"content": "",
"role": "assistant",
"tool_calls": [
{
"function": {
"name": "get_weather",
"arguments": '{"location": "San Francisco"}',
}
}
],
"reasoning": "I should use the get_weather tool.",
}
messages = parse_input_to_harmony_message(chat_msg)
messages = parse_chat_ input_to_harmony_message(chat_msg)
assert len(messages) == 1
assert messages[0].content[0].text == ""
verify_harmony_messages(
messages,
[
{
"role": "assistant",
"channel": "analysis",
"content": "I should use the get_weather tool.",
},
{
"role": "assistant",
"channel": "commentary",
"recipient": "functions.get_weather",
"content": '{"location": "San Francisco"}',
"content_type": "json",
},
],
)
def test_tool_call_with_missing_function_fields(self):
"""Test parsing tool call with missing name or arguments."""
def test_assistant_message_with_tool_calls_and_reasoning_and_content(self):
chat_msg = {
"role": "assistant",
"tool_calls": [
{
"function": {} # Missing both name and arguments
"function": {
"name": "get_weather",
"arguments": '{"location": "San Francisco"}',
}
}
],
"reasoning": "I should use the get_weather tool.",
"content": "I'll call the tool.",
}
messages = parse_input_to_harmony_message(chat_msg)
messages = parse_chat_ input_to_harmony_message(chat_msg)
assert len(messages) == 1
assert messages[0].recipient == "functions."
assert messages[0].content[0].text == ""
verify_harmony_messages(
messages,
[
{
"role": "assistant",
"channel": "commentary",
"content": "I'll call the tool.",
},
{
"role": "assistant",
"channel": "analysis",
"content": "I should use the get_weather tool.",
},
{
"role": "assistant",
"channel": "commentary",
"recipient": "functions.get_weather",
"content": '{"location": "San Francisco"}',
"content_type": "json",
},
],
)
def test_array_content_with_missing_text(self):
"""Test parsing array content where text field is missing."""
def test_tool_message_with_string_content(self):
tool_id_names = {
"call_123": "get_weather",
}
chat_msg = {
"role": "user",
"role": "tool",
"tool_call_id": "call_123",
"content": "The weather in San Francisco is sunny, 72°F",
}
messages = parse_chat_input_to_harmony_message(
chat_msg, tool_id_names=tool_id_names
)
verify_harmony_messages(
messages,
[
{
"role": "tool",
"name": "functions.get_weather",
"content": "The weather in San Francisco is sunny, 72°F",
"channel": "commentary",
},
],
)
def test_tool_message_with_array_content(self):
tool_id_names = {
"call_123": "search_results",
}
chat_msg = {
"role": "tool",
"tool_call_id": "call_123",
"content": [
{}, # Missing text field
{"text": "actual text"},
{"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 = parse_input_to_harmony_message(chat_msg)
messages = parse_chat_input_to_harmony_message(
chat_msg, tool_id_names=tool_id_names
)
assert len(messages) == 1
assert len(messages[0].content) == 2
assert messages[0].content[0].text == ""
assert messages[0].content[1].text == "actual text"
verify_harmony_messages(
messages,
[
{
"role": "tool",
"name": "functions.search_results",
"content": "Result 1: Result 2: Result 3",
"channel": "commentary",
},
],
)
def test_tool_message_with_empty_content(self):
tool_id_names = {
"call_123": "empty_tool",
}
chat_msg = {
"role": "tool",
"tool_call_id": "call_123",
"content": "",
}
messages = parse_chat_input_to_harmony_message(
chat_msg, tool_id_names=tool_id_names
)
verify_harmony_messages(
messages,
[
{
"role": "tool",
"name": "functions.empty_tool",
"content": "",
"channel": "commentary",
},
],
)
def test_tool_message_with_none_content(self):
tool_id_names = {
"call_123": "empty_tool",
}
chat_msg = {
"role": "tool",
"tool_call_id": "call_123",
"content": None,
}
messages = parse_chat_input_to_harmony_message(
chat_msg, tool_id_names=tool_id_names
)
verify_harmony_messages(
messages,
[
{
"role": "tool",
"name": "functions.empty_tool",
"content": "",
"channel": "commentary",
},
],
)
class TestAutoDropAnalysisMessages:
def test_no_analysis_messages(self) -> None:
messages = [
Message.from_role_and_content(
Role.ASSISTANT, "The answer is 4."
).with_channel("final"),
]
cleaned_messages = auto_drop_analysis_messages(messages)
assert cleaned_messages == messages
def test_only_analysis_message(self) -> None:
messages = [
Message.from_role_and_content(
Role.ASSISTANT, "I'm thinking about the user's question."
).with_channel("analysis"),
]
cleaned_messages = auto_drop_analysis_messages(messages)
assert cleaned_messages == messages
def test_multiple_analysis_messages_without_final_message(self) -> None:
messages = [
Message.from_role_and_content(
Role.ASSISTANT, "I'm thinking about the user's question."
).with_channel("analysis"),
Message.from_role_and_content(
Role.ASSISTANT, "I'm thinking more."
).with_channel("analysis"),
Message.from_role_and_content(
Role.ASSISTANT, "I'm thinking even more."
).with_channel("analysis"),
]
cleaned_messages = auto_drop_analysis_messages(messages)
assert cleaned_messages == messages
def test_only_final_message(self) -> None:
messages = [
Message.from_role_and_content(
Role.ASSISTANT, "The answer is 4."
).with_channel("final"),
]
cleaned_messages = auto_drop_analysis_messages(messages)
assert cleaned_messages == messages
def test_drops_one_analysis_messages_before_final_message(self) -> None:
messages = [
Message.from_role_and_content(
Role.ASSISTANT, "I'm thinking about the user's question."
).with_channel("analysis"),
Message.from_role_and_content(
Role.ASSISTANT, "The answer is 4."
).with_channel("final"),
Message.from_role_and_content(
Role.ASSISTANT, "I should think harder."
).with_channel("analysis"),
]
cleaned_messages = auto_drop_analysis_messages(messages)
# Should have dropped the first analysis message
assert cleaned_messages == messages[1:]
def test_drops_all_analysis_messages_before_final_message(self) -> None:
messages = [
Message.from_role_and_content(
Role.ASSISTANT, "I'm thinking about the user's question."
).with_channel("analysis"),
Message.from_role_and_content(
Role.ASSISTANT, "I'm thinking more."
).with_channel("analysis"),
Message.from_role_and_content(
Role.ASSISTANT, "I'm thinking even more."
).with_channel("analysis"),
Message.from_role_and_content(
Role.ASSISTANT, "The answer is 4."
).with_channel("final"),
Message.from_role_and_content(
Role.ASSISTANT, "I should think harder."
).with_channel("analysis"),
]
cleaned_messages = auto_drop_analysis_messages(messages)
# Should have dropped the first 3 analysis messages
assert cleaned_messages == messages[3:]
def test_multiple_analysis_messages_with_multiple_final_messages(self) -> None:
messages = [
Message.from_role_and_content(
Role.ASSISTANT, "I'm thinking about the user's question."
).with_channel("analysis"),
Message.from_role_and_content(
Role.ASSISTANT, "I'm thinking more."
).with_channel("analysis"),
Message.from_role_and_content(
Role.ASSISTANT, "I'm thinking even more."
).with_channel("analysis"),
Message.from_role_and_content(
Role.ASSISTANT, "The answer is 4."
).with_channel("final"),
Message.from_role_and_content(
Role.ASSISTANT, "I should think harder."
).with_channel("analysis"),
Message.from_role_and_content(
Role.ASSISTANT, "The answer is 5."
).with_channel("final"),
]
cleaned_messages = auto_drop_analysis_messages(messages)
# Should have dropped all those analysis messages
assert len(cleaned_messages) == 2
assert cleaned_messages[0].content[0].text == "The answer is 4."
assert cleaned_messages[1].content[0].text == "The answer is 5."
def test_drops_non_assistant_analysis_messages(self) -> None:
messages = [
Message.from_role_and_content(
Role.TOOL, "The tool thinks we should think harder."
).with_channel("analysis"),
Message.from_role_and_content(
Role.ASSISTANT, "The answer is 4."
).with_channel("final"),
]
cleaned_messages = auto_drop_analysis_messages(messages)
# Should have dropped the analysis message
assert cleaned_messages == messages[1:]
class TestParseChatOutput:
def test_parse_chat_output_interrupted_first_message(self) -> None:
harmony_str = "<|channel|>final<|message|>I'm in the middle of answering"
token_ids = get_encoding().encode(harmony_str, allowed_special="all")
reasoning, final_content, _ = parse_chat_output(token_ids)
assert reasoning is None
assert final_content == "I'm in the middle of answering"
def test_parse_chat_output_interrupted_reasoning_first_message(self) -> None:
harmony_str = "<|channel|>analysis<|message|>I'm in the middle of thinking"
token_ids = get_encoding().encode(harmony_str, allowed_special="all")
reasoning, final_content, _ = parse_chat_output(token_ids)
assert reasoning == "I'm in the middle of thinking"
assert final_content is None
def test_parse_chat_output_complete_reasoning_interrupted_content(self) -> None:
harmony_str = (
"<|channel|>analysis<|message|>I'm thinking.<|end|>"
"<|start|>assistant<|channel|>final"
"<|message|>I'm in the middle of answering"
)
token_ids = get_encoding().encode(harmony_str, allowed_special="all")
reasoning, final_content, _ = parse_chat_output(token_ids)
assert reasoning == "I'm thinking."
assert final_content == "I'm in the middle of answering"
def test_parse_chat_output_complete_content(self) -> None:
harmony_str = "<|channel|>final<|message|>The answer is 4.<|end|>"
token_ids = get_encoding().encode(harmony_str, allowed_special="all")
reasoning, final_content, _ = parse_chat_output(token_ids)
assert reasoning is None
assert final_content == "The answer is 4."
def test_parse_chat_output_complete_commentary(self) -> None:
harmony_str = (
"<|channel|>commentary<|message|>I need to call some tools.<|end|>"
)
token_ids = get_encoding().encode(harmony_str, allowed_special="all")
reasoning, final_content, _ = parse_chat_output(token_ids)
assert reasoning is None
assert final_content == "I need to call some tools."
def test_parse_chat_output_complete_reasoning(self) -> None:
harmony_str = (
"<|channel|>analysis<|message|>I've thought hard about this.<|end|>"
)
token_ids = get_encoding().encode(harmony_str, allowed_special="all")
reasoning, final_content, _ = parse_chat_output(token_ids)
assert reasoning == "I've thought hard about this."
assert final_content is None
def test_parse_chat_output_complete_reasoning_and_content(self) -> None:
harmony_str = (
"<|channel|>analysis<|message|>I've thought hard about this.<|end|>"
"<|start|>assistant<|channel|>final<|message|>The answer is 4.<|end|>"
)
token_ids = get_encoding().encode(harmony_str, allowed_special="all")
reasoning, final_content, _ = parse_chat_output(token_ids)
assert reasoning == "I've thought hard about this."
assert final_content == "The answer is 4."
class TestParseOutputMessage: