Files
vllm/tests/entrypoints/openai/test_serving_chat_stream_harmony.py
Aleksandr Samarin d084e9fca7 [MODEL] Fix handling of multiple channels for gpt-oss with speculative decoding (#26291)
Signed-off-by: Aleksandr Samarin <astrlrd@nebius.com>
Signed-off-by: southfreebird <yvorott@gmail.com>
Co-authored-by: southfreebird <yvorott@gmail.com>
2026-01-14 13:20:52 -05:00

357 lines
12 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Unit tests for harmony streaming delta extraction.
"""
from dataclasses import dataclass, field
from unittest.mock import patch
import pytest
from vllm.entrypoints.openai.chat_completion.stream_harmony import (
TokenState,
extract_harmony_streaming_delta,
)
@dataclass
class MockMessage:
"""Mock message object for testing."""
channel: str | None = None
recipient: str | None = None
@dataclass
class MockStreamableParser:
"""Mock StreamableParser for testing without openai_harmony dependency."""
messages: list[MockMessage] = field(default_factory=list)
class TestExtractHarmonyStreamingDelta:
"""Tests for extract_harmony_streaming_delta function."""
@pytest.mark.parametrize(
"delta_text,expected_content",
[
("Hello, world!", "Hello, world!"),
("", ""),
],
)
def test_final_channel_returns_content_delta(self, delta_text, expected_content):
"""Test that final channel returns a DeltaMessage with content."""
parser = MockStreamableParser()
# Updated to use TokenState list
token_states = [TokenState(channel="final", recipient=None, text=delta_text)]
delta_message, tools_streamed = extract_harmony_streaming_delta(
harmony_parser=parser,
token_states=token_states,
prev_recipient=None,
include_reasoning=False,
)
assert delta_message is not None
assert delta_message.content == expected_content
assert tools_streamed is False
@pytest.mark.parametrize(
"include_reasoning,expected_has_message",
[
(True, True),
(False, False),
],
)
def test_analysis_channel_reasoning(self, include_reasoning, expected_has_message):
"""Test analysis channel respects include_reasoning flag."""
parser = MockStreamableParser()
text = "Let me think..."
token_states = [TokenState(channel="analysis", recipient=None, text=text)]
delta_message, tools_streamed = extract_harmony_streaming_delta(
harmony_parser=parser,
token_states=token_states,
prev_recipient=None,
include_reasoning=include_reasoning,
)
if expected_has_message:
assert delta_message is not None
assert delta_message.reasoning == text
else:
assert delta_message is None
assert tools_streamed is False
@pytest.mark.parametrize("channel", ["commentary", "analysis"])
@patch("vllm.entrypoints.openai.chat_completion.stream_harmony.make_tool_call_id")
def test_new_tool_call(self, mock_make_tool_call_id, channel):
"""Test new tool call creation when recipient changes."""
mock_make_tool_call_id.return_value = "call_test123"
parser = MockStreamableParser()
token_states = [
TokenState(channel=channel, recipient="functions.get_weather", text="")
]
delta_message, tools_streamed = extract_harmony_streaming_delta(
harmony_parser=parser,
token_states=token_states,
prev_recipient=None,
include_reasoning=False,
)
assert delta_message is not None
assert len(delta_message.tool_calls) == 1
tool_call = delta_message.tool_calls[0]
assert tool_call.id == "call_test123"
assert tool_call.type == "function"
assert tool_call.function.name == "get_weather"
assert tool_call.function.arguments == ""
assert tool_call.index == 0
assert tools_streamed is True
@pytest.mark.parametrize("channel", ["commentary", "analysis"])
def test_tool_call_argument_streaming(self, channel):
"""Test streaming tool call arguments (same recipient)."""
parser = MockStreamableParser()
args_text = '{"location": "Paris"}'
token_states = [
TokenState(
channel=channel, recipient="functions.get_weather", text=args_text
)
]
delta_message, tools_streamed = extract_harmony_streaming_delta(
harmony_parser=parser,
token_states=token_states,
prev_recipient="functions.get_weather",
include_reasoning=False,
)
assert delta_message is not None
tool_call = delta_message.tool_calls[0]
assert tool_call.id is None
assert tool_call.function.arguments == args_text
assert tool_call.index == 0
assert tools_streamed is True
@pytest.mark.parametrize("channel", ["commentary", "analysis"])
def test_tool_call_empty_arguments_returns_none(self, channel):
"""Test empty delta_text with same recipient returns None."""
parser = MockStreamableParser()
token_states = [
TokenState(channel=channel, recipient="functions.get_weather", text="")
]
delta_message, tools_streamed = extract_harmony_streaming_delta(
harmony_parser=parser,
token_states=token_states,
prev_recipient="functions.get_weather",
include_reasoning=False,
)
assert delta_message is None
assert tools_streamed is False
def test_tool_call_index_from_previous_messages(self):
"""Test tool call index accounts for previous function messages."""
messages = [
MockMessage(channel="analysis", recipient=None), # Not counted
MockMessage(channel="commentary", recipient="functions.tool1"), # Counted
MockMessage(channel="final", recipient=None), # Not counted
]
parser = MockStreamableParser(messages=messages)
token_states = [
TokenState(channel="commentary", recipient="functions.tool2", text="args")
]
delta_message, _ = extract_harmony_streaming_delta(
harmony_parser=parser,
token_states=token_states,
prev_recipient="functions.tool2",
include_reasoning=False,
)
assert delta_message.tool_calls[0].index == 1
@pytest.mark.parametrize(
"channel,recipient",
[
("commentary", None),
("commentary", "browser.search"),
],
)
def test_returns_tool_call_preambles(self, channel, recipient):
"""Test that invalid tool recipient on commentary is treated as content."""
parser = MockStreamableParser()
delta_text = "some text"
token_states = [
TokenState(channel=channel, recipient=recipient, text=delta_text)
]
delta_message, tools_streamed = extract_harmony_streaming_delta(
harmony_parser=parser,
token_states=token_states,
prev_recipient=None,
include_reasoning=True,
)
assert delta_message.content == delta_text
assert tools_streamed is False
@pytest.mark.parametrize(
"channel,recipient",
[
(None, None),
("unknown_channel", None),
],
)
def test_returns_none_for_invalid_inputs(self, channel, recipient):
"""Test that invalid channel/recipient combinations return None."""
parser = MockStreamableParser()
token_states = [
TokenState(channel=channel, recipient=recipient, text="some text")
]
delta_message, tools_streamed = extract_harmony_streaming_delta(
harmony_parser=parser,
token_states=token_states,
prev_recipient=None,
include_reasoning=True,
)
assert delta_message is None
assert tools_streamed is False
def test_consecutive_token_grouping(self):
"""
Test that consecutive tokens with the same channel/recipient
are merged into a single processing group.
"""
parser = MockStreamableParser()
token_states = [
TokenState("final", None, "H"),
TokenState("final", None, "el"),
TokenState("final", None, "lo"),
TokenState("final", None, ","),
TokenState("final", None, " World"),
]
delta_message, _ = extract_harmony_streaming_delta(
harmony_parser=parser,
token_states=token_states,
prev_recipient=None,
include_reasoning=False,
)
assert delta_message is not None
assert delta_message.content == "Hello, World"
@patch("vllm.entrypoints.openai.chat_completion.stream_harmony.make_tool_call_id")
def test_complex_batch_permutation(self, mock_make_id):
"""
Test a complex permutation: Reasoning -> Tool Call -> Content.
This verifies that multiple distinct actions in one batch
are all captured in the single DeltaMessage.
"""
mock_make_id.return_value = "call_batch_test"
parser = MockStreamableParser()
token_states = [
# 1. Reasoning
TokenState("analysis", None, "Reasoning about query..."),
# 2. Tool Calling
TokenState("commentary", "functions.search", '{"query":'),
TokenState("commentary", "functions.search", ' "vllm"}'),
# 3. Final Content
TokenState("final", None, "."),
]
delta_message, tools_streamed = extract_harmony_streaming_delta(
harmony_parser=parser,
token_states=token_states,
prev_recipient=None,
include_reasoning=True,
)
assert delta_message is not None
assert delta_message.reasoning == "Reasoning about query..."
# We expect 2 objects for 1 logical tool call:
# 1. The definition (id, name, type)
# 2. The arguments payload
assert len(delta_message.tool_calls) == 2
header = delta_message.tool_calls[0]
payload = delta_message.tool_calls[1]
assert header.function.name == "search"
assert header.id == "call_batch_test"
assert header.index == 0
assert payload.index == 0
assert payload.function.arguments == '{"query": "vllm"}'
assert delta_message.content == "."
assert tools_streamed is True
@patch("vllm.entrypoints.openai.chat_completion.stream_harmony.make_tool_call_id")
def test_tool_call_index_consistency_with_ongoing_call(self, mock_make_id):
"""
Test that an ongoing tool call continuation and subsequent new calls
maintain correct indexing when interleaved with content.
"""
mock_make_id.side_effect = ["id_b", "id_c"]
messages = [
MockMessage(channel="commentary", recipient="functions.previous_tool")
]
parser = MockStreamableParser(messages=messages)
token_states = [
TokenState("commentary", "functions.tool_a", '{"key_a": "val_a"}'),
TokenState("final", None, "Thinking..."),
TokenState("commentary", "functions.tool_b", '{"key_b": "val_b"}'),
TokenState("final", None, " Thinking again..."),
TokenState("commentary", "functions.tool_c", '{"key_c": "val_c"}'),
]
delta_message, _ = extract_harmony_streaming_delta(
harmony_parser=parser,
token_states=token_states,
prev_recipient="functions.tool_a",
include_reasoning=False,
)
assert delta_message is not None
tool_a_deltas = [t for t in delta_message.tool_calls if t.index == 1]
assert len(tool_a_deltas) > 0
assert tool_a_deltas[0].id is None
assert tool_a_deltas[0].function.arguments == '{"key_a": "val_a"}'
tool_b_header = next(t for t in delta_message.tool_calls if t.id == "id_b")
assert tool_b_header.index == 2
tool_b_args = next(
t for t in delta_message.tool_calls if t.index == 2 and t.id is None
)
assert tool_b_args.function.arguments == '{"key_b": "val_b"}'
tool_c_start = next(t for t in delta_message.tool_calls if t.id == "id_c")
assert tool_c_start.index == 3
tool_c_args = next(
t for t in delta_message.tool_calls if t.index == 3 and t.id is None
)
assert tool_c_args.function.arguments == '{"key_c": "val_c"}'
assert delta_message.content == "Thinking... Thinking again..."