mirror of
https://git.datalinker.icu/vllm-project/vllm.git
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621 lines
23 KiB
Python
621 lines
23 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from openai.types.responses import ResponseFunctionToolCall, ResponseReasoningItem
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from openai.types.responses.response_output_item import McpCall
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from openai_harmony import Author, Message, Role, TextContent
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from vllm.entrypoints.openai.parser.harmony_utils import (
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has_custom_tools,
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parse_input_to_harmony_message,
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parse_output_message,
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)
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class TestParseInputToHarmonyMessage:
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"""Tests for parse_input_to_harmony_message function."""
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def test_assistant_message_with_tool_calls(self):
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"""Test parsing assistant message with tool calls."""
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chat_msg = {
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"role": "assistant",
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"tool_calls": [
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{
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"function": {
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"name": "get_weather",
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"arguments": '{"location": "San Francisco"}',
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}
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},
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{
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"function": {
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"name": "search_web",
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"arguments": '{"query": "latest news"}',
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}
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},
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],
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 2
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# First tool call
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assert messages[0].author.role == Role.ASSISTANT
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assert messages[0].content[0].text == '{"location": "San Francisco"}'
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assert messages[0].channel == "commentary"
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assert messages[0].recipient == "functions.get_weather"
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assert messages[0].content_type == "json"
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# Second tool call
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assert messages[1].author.role == Role.ASSISTANT
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assert messages[1].content[0].text == '{"query": "latest news"}'
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assert messages[1].channel == "commentary"
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assert messages[1].recipient == "functions.search_web"
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assert messages[1].content_type == "json"
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def test_assistant_message_with_empty_tool_call_arguments(self):
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"""Test parsing assistant message with tool call having None arguments."""
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chat_msg = {
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"role": "assistant",
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"tool_calls": [
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{
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"function": {
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"name": "get_current_time",
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"arguments": None,
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}
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}
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],
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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assert messages[0].content[0].text == ""
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assert messages[0].recipient == "functions.get_current_time"
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def test_tool_message_with_string_content(self):
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"""Test parsing tool message with string content."""
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chat_msg = {
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"role": "tool",
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"name": "get_weather",
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"content": "The weather in San Francisco is sunny, 72°F",
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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assert messages[0].author.role == Role.TOOL
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assert messages[0].author.name == "functions.get_weather"
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assert (
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messages[0].content[0].text == "The weather in San Francisco is sunny, 72°F"
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)
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assert messages[0].channel == "commentary"
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def test_tool_message_with_array_content(self):
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"""Test parsing tool message with array content."""
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chat_msg = {
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"role": "tool",
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"name": "search_results",
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"content": [
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{"type": "text", "text": "Result 1: "},
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{"type": "text", "text": "Result 2: "},
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{
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"type": "image",
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"url": "http://example.com/img.png",
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}, # Should be ignored
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{"type": "text", "text": "Result 3"},
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],
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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assert messages[0].author.role == Role.TOOL
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assert messages[0].content[0].text == "Result 1: Result 2: Result 3"
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def test_tool_message_with_empty_content(self):
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"""Test parsing tool message with None content."""
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chat_msg = {
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"role": "tool",
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"name": "empty_tool",
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"content": None,
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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assert messages[0].content[0].text == ""
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def test_system_message(self):
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"""Test parsing system message."""
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chat_msg = {
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"role": "system",
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"content": "You are a helpful assistant",
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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# System messages are converted using Message.from_dict
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# which should preserve the role
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assert messages[0].author.role == Role.SYSTEM
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def test_developer_message(self):
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"""Test parsing developer message."""
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chat_msg = {
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"role": "developer",
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"content": "Use concise language",
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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assert messages[0].author.role == Role.DEVELOPER
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def test_user_message_with_string_content(self):
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"""Test parsing user message with string content."""
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chat_msg = {
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"role": "user",
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"content": "What's the weather in San Francisco?",
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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assert messages[0].author.role == Role.USER
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assert messages[0].content[0].text == "What's the weather in San Francisco?"
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def test_user_message_with_array_content(self):
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"""Test parsing user message with array content."""
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chat_msg = {
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"role": "user",
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"content": [
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{"text": "What's in this image? "},
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{"text": "Please describe it."},
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],
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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assert messages[0].author.role == Role.USER
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assert len(messages[0].content) == 2
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assert messages[0].content[0].text == "What's in this image? "
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assert messages[0].content[1].text == "Please describe it."
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def test_assistant_message_with_string_content(self):
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"""Test parsing assistant message with string content (no tool calls)."""
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chat_msg = {
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"role": "assistant",
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"content": "Hello! How can I help you today?",
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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assert messages[0].author.role == Role.ASSISTANT
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assert messages[0].content[0].text == "Hello! How can I help you today?"
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def test_pydantic_model_input(self):
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"""Test parsing Pydantic model input (has model_dump method)."""
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class MockPydanticModel:
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def model_dump(self, exclude_none=True):
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return {
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"role": "user",
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"content": "Test message",
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}
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chat_msg = MockPydanticModel()
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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assert messages[0].author.role == Role.USER
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assert messages[0].content[0].text == "Test message"
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def test_message_with_empty_content(self):
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"""Test parsing message with empty string content."""
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chat_msg = {
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"role": "user",
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"content": "",
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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assert messages[0].content[0].text == ""
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def test_tool_call_with_missing_function_fields(self):
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"""Test parsing tool call with missing name or arguments."""
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chat_msg = {
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"role": "assistant",
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"tool_calls": [
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{
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"function": {} # Missing both name and arguments
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}
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],
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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assert messages[0].recipient == "functions."
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assert messages[0].content[0].text == ""
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def test_array_content_with_missing_text(self):
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"""Test parsing array content where text field is missing."""
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chat_msg = {
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"role": "user",
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"content": [
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{}, # Missing text field
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{"text": "actual text"},
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],
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}
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messages = parse_input_to_harmony_message(chat_msg)
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assert len(messages) == 1
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assert len(messages[0].content) == 2
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assert messages[0].content[0].text == ""
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assert messages[0].content[1].text == "actual text"
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class TestParseOutputMessage:
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"""Tests for parse_output_message function."""
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def test_commentary_with_no_recipient_creates_reasoning(self):
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"""Test that commentary with recipient=None (preambles) creates reasoning items.
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Per Harmony format, commentary channel can contain preambles to calling
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multiple functions - explanatory text with no recipient.
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"""
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message = Message.from_role_and_content(
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Role.ASSISTANT, "I will now search for the weather information."
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)
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message = message.with_channel("commentary")
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# recipient is None by default, representing a preamble
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output_items = parse_output_message(message)
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assert len(output_items) == 1
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assert isinstance(output_items[0], ResponseReasoningItem)
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assert output_items[0].type == "reasoning"
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assert (
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output_items[0].content[0].text
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== "I will now search for the weather information."
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)
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assert output_items[0].content[0].type == "reasoning_text"
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def test_commentary_with_function_recipient_creates_function_call(self):
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"""Test commentary with recipient='functions.X' creates function calls."""
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message = Message.from_role_and_content(
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Role.ASSISTANT, '{"location": "San Francisco", "units": "celsius"}'
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)
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message = message.with_channel("commentary")
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message = message.with_recipient("functions.get_weather")
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output_items = parse_output_message(message)
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assert len(output_items) == 1
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assert isinstance(output_items[0], ResponseFunctionToolCall)
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assert output_items[0].type == "function_call"
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assert output_items[0].name == "get_weather"
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assert (
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output_items[0].arguments
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== '{"location": "San Francisco", "units": "celsius"}'
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)
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assert output_items[0].call_id.startswith("call_")
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assert output_items[0].id.startswith("fc_")
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def test_commentary_with_python_recipient_creates_reasoning(self):
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"""Test that commentary with recipient='python' creates reasoning items."""
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message = Message.from_role_and_content(
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Role.ASSISTANT, "import numpy as np\nprint(np.array([1, 2, 3]))"
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)
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message = message.with_channel("commentary")
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message = message.with_recipient("python")
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output_items = parse_output_message(message)
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assert len(output_items) == 1
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assert isinstance(output_items[0], ResponseReasoningItem)
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assert output_items[0].type == "reasoning"
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assert (
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output_items[0].content[0].text
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== "import numpy as np\nprint(np.array([1, 2, 3]))"
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)
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def test_commentary_with_browser_recipient_creates_reasoning(self):
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"""Test that commentary with recipient='browser' creates reasoning items."""
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message = Message.from_role_and_content(
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Role.ASSISTANT, "Navigating to the specified URL"
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)
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message = message.with_channel("commentary")
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message = message.with_recipient("browser")
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output_items = parse_output_message(message)
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assert len(output_items) == 1
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assert isinstance(output_items[0], ResponseReasoningItem)
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assert output_items[0].type == "reasoning"
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assert output_items[0].content[0].text == "Navigating to the specified URL"
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def test_commentary_with_container_recipient_creates_reasoning(self):
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"""Test that commentary with recipient='container' creates reasoning items."""
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message = Message.from_role_and_content(
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Role.ASSISTANT, "Running command in container"
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)
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message = message.with_channel("commentary")
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message = message.with_recipient("container")
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output_items = parse_output_message(message)
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assert len(output_items) == 1
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assert isinstance(output_items[0], ResponseReasoningItem)
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assert output_items[0].type == "reasoning"
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assert output_items[0].content[0].text == "Running command in container"
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def test_commentary_with_empty_content_and_no_recipient(self):
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"""Test edge case: empty commentary with recipient=None."""
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message = Message.from_role_and_content(Role.ASSISTANT, "")
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message = message.with_channel("commentary")
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output_items = parse_output_message(message)
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assert len(output_items) == 1
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assert isinstance(output_items[0], ResponseReasoningItem)
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assert output_items[0].content[0].text == ""
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def test_commentary_with_multiple_contents_and_no_recipient(self):
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"""Test multiple content items in commentary with no recipient."""
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contents = [
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TextContent(text="Step 1: Analyze the request"),
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TextContent(text="Step 2: Prepare to call functions"),
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]
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message = Message.from_role_and_contents(Role.ASSISTANT, contents)
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message = message.with_channel("commentary")
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output_items = parse_output_message(message)
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assert len(output_items) == 2
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assert all(isinstance(item, ResponseReasoningItem) for item in output_items)
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assert output_items[0].content[0].text == "Step 1: Analyze the request"
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assert output_items[1].content[0].text == "Step 2: Prepare to call functions"
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def test_commentary_with_multiple_function_calls(self):
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"""Test multiple function calls in commentary channel."""
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contents = [
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TextContent(text='{"location": "San Francisco"}'),
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TextContent(text='{"location": "New York"}'),
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]
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message = Message.from_role_and_contents(Role.ASSISTANT, contents)
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message = message.with_channel("commentary")
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message = message.with_recipient("functions.get_weather")
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output_items = parse_output_message(message)
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assert len(output_items) == 2
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assert all(isinstance(item, ResponseFunctionToolCall) for item in output_items)
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assert output_items[0].name == "get_weather"
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assert output_items[1].name == "get_weather"
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assert output_items[0].arguments == '{"location": "San Francisco"}'
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assert output_items[1].arguments == '{"location": "New York"}'
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def test_commentary_with_unknown_recipient_creates_mcp_call(self):
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"""Test that commentary with unknown recipient creates MCP call."""
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message = Message.from_role_and_content(Role.ASSISTANT, '{"arg": "value"}')
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message = message.with_channel("commentary")
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message = message.with_recipient("custom_tool")
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output_items = parse_output_message(message)
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assert len(output_items) == 1
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assert isinstance(output_items[0], McpCall)
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assert output_items[0].type == "mcp_call"
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assert output_items[0].name == "custom_tool"
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assert output_items[0].server_label == "custom_tool"
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def test_analysis_channel_creates_reasoning(self):
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"""Test that analysis channel creates reasoning items."""
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message = Message.from_role_and_content(
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Role.ASSISTANT, "Analyzing the problem step by step..."
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)
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message = message.with_channel("analysis")
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output_items = parse_output_message(message)
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assert len(output_items) == 1
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assert isinstance(output_items[0], ResponseReasoningItem)
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assert output_items[0].type == "reasoning"
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assert (
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output_items[0].content[0].text == "Analyzing the problem step by step..."
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)
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def test_non_assistant_message_returns_empty(self):
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"""Test that non-assistant messages return empty list.
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Per the implementation, tool messages to assistant (e.g., search results)
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are not included in final output to align with OpenAI behavior.
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"""
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message = Message.from_author_and_content(
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Author.new(Role.TOOL, "functions.get_weather"),
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"The weather is sunny, 72°F",
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)
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output_items = parse_output_message(message)
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assert len(output_items) == 0
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def test_has_custom_tools() -> None:
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assert not has_custom_tools(set())
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assert not has_custom_tools({"web_search_preview", "code_interpreter", "container"})
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assert has_custom_tools({"others"})
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assert has_custom_tools(
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{"web_search_preview", "code_interpreter", "container", "others"}
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)
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def test_parse_mcp_call_basic() -> None:
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"""Test that MCP calls are parsed with correct type and server_label."""
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message = Message.from_role_and_content(Role.ASSISTANT, '{"path": "/tmp"}')
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message = message.with_recipient("filesystem")
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message = message.with_channel("commentary")
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output_items = parse_output_message(message)
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assert len(output_items) == 1
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assert isinstance(output_items[0], McpCall)
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assert output_items[0].type == "mcp_call"
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assert output_items[0].name == "filesystem"
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assert output_items[0].server_label == "filesystem"
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assert output_items[0].arguments == '{"path": "/tmp"}'
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assert output_items[0].status == "completed"
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def test_parse_mcp_call_dotted_recipient() -> None:
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"""Test that dotted recipients extract the tool name correctly."""
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message = Message.from_role_and_content(Role.ASSISTANT, '{"cmd": "ls"}')
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message = message.with_recipient("repo_browser.list")
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message = message.with_channel("commentary")
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output_items = parse_output_message(message)
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assert len(output_items) == 1
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assert isinstance(output_items[0], McpCall)
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assert output_items[0].name == "list"
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assert output_items[0].server_label == "repo_browser"
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def test_mcp_vs_function_call() -> None:
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"""Test that function calls are not parsed as MCP calls."""
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func_message = Message.from_role_and_content(Role.ASSISTANT, '{"arg": "value"}')
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func_message = func_message.with_recipient("functions.my_tool")
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func_message = func_message.with_channel("commentary")
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func_items = parse_output_message(func_message)
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assert len(func_items) == 1
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assert not isinstance(func_items[0], McpCall)
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assert func_items[0].type == "function_call"
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def test_mcp_vs_builtin_tools() -> None:
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"""Test that built-in tools (python, container) are not parsed as MCP calls."""
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# Test python (built-in tool) - should be reasoning, not MCP
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python_message = Message.from_role_and_content(Role.ASSISTANT, "print('hello')")
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python_message = python_message.with_recipient("python")
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python_message = python_message.with_channel("commentary")
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python_items = parse_output_message(python_message)
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assert len(python_items) == 1
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assert not isinstance(python_items[0], McpCall)
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assert python_items[0].type == "reasoning"
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def test_parse_remaining_state_commentary_channel() -> None:
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"""Test parse_remaining_state with commentary channel and various recipients."""
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from unittest.mock import Mock
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from vllm.entrypoints.openai.parser.harmony_utils import parse_remaining_state
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# Test 1: functions.* recipient → should return function tool call
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parser_func = Mock()
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parser_func.current_content = '{"arg": "value"}'
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parser_func.current_role = Role.ASSISTANT
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parser_func.current_channel = "commentary"
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parser_func.current_recipient = "functions.my_tool"
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func_items = parse_remaining_state(parser_func)
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assert len(func_items) == 1
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assert not isinstance(func_items[0], McpCall)
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assert func_items[0].type == "function_call"
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assert func_items[0].name == "my_tool"
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assert func_items[0].status == "in_progress"
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# Test 2: MCP tool (not builtin) → should return MCP call
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parser_mcp = Mock()
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parser_mcp.current_content = '{"path": "/tmp"}'
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parser_mcp.current_role = Role.ASSISTANT
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parser_mcp.current_channel = "commentary"
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parser_mcp.current_recipient = "filesystem"
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mcp_items = parse_remaining_state(parser_mcp)
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assert len(mcp_items) == 1
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assert isinstance(mcp_items[0], McpCall)
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assert mcp_items[0].type == "mcp_call"
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assert mcp_items[0].name == "filesystem"
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assert mcp_items[0].server_label == "filesystem"
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assert mcp_items[0].status == "in_progress"
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# Test 3: Built-in tool (python)
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# should NOT return MCP call, falls through to reasoning
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parser_builtin = Mock()
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parser_builtin.current_content = "print('hello')"
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parser_builtin.current_role = Role.ASSISTANT
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parser_builtin.current_channel = "commentary"
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parser_builtin.current_recipient = "python"
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builtin_items = parse_remaining_state(parser_builtin)
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# Should fall through to reasoning logic
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assert len(builtin_items) == 1
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assert not isinstance(builtin_items[0], McpCall)
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assert builtin_items[0].type == "reasoning"
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def test_parse_remaining_state_analysis_channel() -> None:
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"""Test parse_remaining_state with analysis channel and various recipients."""
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from unittest.mock import Mock
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from vllm.entrypoints.openai.parser.harmony_utils import parse_remaining_state
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# Test 1: functions.* recipient → should return function tool call
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parser_func = Mock()
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parser_func.current_content = '{"arg": "value"}'
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parser_func.current_role = Role.ASSISTANT
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parser_func.current_channel = "analysis"
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parser_func.current_recipient = "functions.my_tool"
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func_items = parse_remaining_state(parser_func)
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assert len(func_items) == 1
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assert not isinstance(func_items[0], McpCall)
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assert func_items[0].type == "function_call"
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assert func_items[0].name == "my_tool"
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assert func_items[0].status == "in_progress"
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# Test 2: MCP tool (not builtin) → should return MCP call
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parser_mcp = Mock()
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parser_mcp.current_content = '{"query": "test"}'
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parser_mcp.current_role = Role.ASSISTANT
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parser_mcp.current_channel = "analysis"
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parser_mcp.current_recipient = "database"
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mcp_items = parse_remaining_state(parser_mcp)
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assert len(mcp_items) == 1
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assert isinstance(mcp_items[0], McpCall)
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assert mcp_items[0].type == "mcp_call"
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assert mcp_items[0].name == "database"
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assert mcp_items[0].server_label == "database"
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assert mcp_items[0].status == "in_progress"
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# Test 3: Built-in tool (container)
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# should NOT return MCP call, falls through to reasoning
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parser_builtin = Mock()
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parser_builtin.current_content = "docker run"
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parser_builtin.current_role = Role.ASSISTANT
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parser_builtin.current_channel = "analysis"
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parser_builtin.current_recipient = "container"
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builtin_items = parse_remaining_state(parser_builtin)
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# Should fall through to reasoning logic
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assert len(builtin_items) == 1
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assert not isinstance(builtin_items[0], McpCall)
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assert builtin_items[0].type == "reasoning"
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