vllm/tests/entrypoints/openai/test_chat_with_tool_reasoning.py

146 lines
4.3 KiB
Python
Raw Normal View History

# SPDX-License-Identifier: Apache-2.0
import openai # use the official client for correctness check
import pytest
import pytest_asyncio
from ...utils import RemoteOpenAIServer
# a reasoning and tool calling model
MODEL_NAME = "Qwen/QwQ-32B"
@pytest.fixture(scope="module")
def server(): # noqa: F811
args = [
"--max-model-len", "8192", "--enforce-eager", "--enable-reasoning",
"--reasoning-parser", "deepseek_r1", "--enable-auto-tool-choice",
"--tool-call-parser", "hermes"
]
with RemoteOpenAIServer(MODEL_NAME, args) as remote_server:
yield remote_server
@pytest_asyncio.fixture
async def client(server):
async with server.get_async_client() as async_client:
yield async_client
TOOLS = [{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"city": {
"type":
"string",
"description":
"The city to find the weather for, e.g. 'San Francisco'"
},
"state": {
"type":
"string",
"description":
"the two-letter abbreviation for the state that the city is"
" in, e.g. 'CA' which would mean 'California'"
},
"unit": {
"type": "string",
"description": "The unit to fetch the temperature in",
"enum": ["celsius", "fahrenheit"]
}
},
"required": ["city", "state", "unit"]
}
}
}]
MESSAGES = [{
"role": "user",
"content": "Hi! How are you doing today?"
}, {
"role": "assistant",
"content": "I'm doing well! How can I help you?"
}, {
"role":
"user",
"content":
"Can you tell me what the temperate will be in Dallas, in fahrenheit?"
}]
FUNC_NAME = "get_current_weather"
FUNC_ARGS = """{"city": "Dallas", "state": "TX", "unit": "fahrenheit"}"""
def extract_reasoning_and_calls(chunks: list):
reasoning_content = ""
tool_call_idx = -1
arguments = []
function_names = []
for chunk in chunks:
if chunk.choices[0].delta.tool_calls:
tool_call = chunk.choices[0].delta.tool_calls[0]
if tool_call.index != tool_call_idx:
tool_call_idx = chunk.choices[0].delta.tool_calls[0].index
arguments.append("")
function_names.append("")
if tool_call.function:
if tool_call.function.name:
function_names[tool_call_idx] = tool_call.function.name
if tool_call.function.arguments:
arguments[tool_call_idx] += tool_call.function.arguments
else:
if hasattr(chunk.choices[0].delta, "reasoning_content"):
reasoning_content += chunk.choices[0].delta.reasoning_content
return reasoning_content, arguments, function_names
# test streaming
@pytest.mark.asyncio
async def test_chat_streaming_of_tool_and_reasoning(
client: openai.AsyncOpenAI):
stream = await client.chat.completions.create(
model=MODEL_NAME,
messages=MESSAGES,
tools=TOOLS,
temperature=0.0,
stream=True,
)
chunks = []
async for chunk in stream:
chunks.append(chunk)
reasoning_content, arguments, function_names = extract_reasoning_and_calls(
chunks)
assert len(reasoning_content) > 0
assert len(function_names) > 0 and function_names[0] == FUNC_NAME
assert len(arguments) > 0 and arguments[0] == FUNC_ARGS
# test full generate
@pytest.mark.asyncio
async def test_chat_full_of_tool_and_reasoning(client: openai.AsyncOpenAI):
tool_calls = await client.chat.completions.create(
model=MODEL_NAME,
messages=MESSAGES,
tools=TOOLS,
temperature=0.0,
stream=False,
)
assert len(tool_calls.choices[0].message.reasoning_content) > 0
assert tool_calls.choices[0].message.tool_calls[0].function.name \
== FUNC_NAME
assert tool_calls.choices[0].message.tool_calls[0].function.arguments \
== FUNC_ARGS