Files
vllm-project--vllm/tests/tool_parsers/test_poolside_v1_tool_parser.py
T
wehub-resource-sync 7ce4c8e27e
pre-commit / pre-run-check (push) Has been cancelled
pre-commit / pre-commit (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 12:55:37 +08:00

351 lines
11 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Regression tests for ``PoolsideV1ToolParser``.
Covers two bugs:
1. ``adjust_request`` did not skip the forced ``structured_outputs`` JSON
for ``required``/named tool choice. These models emit XML tool calls
(``<tool_call>...<arg_value>...</arg_value></tool_call>``) per the chat
template, so guided JSON decoding conflicts with the format: the call
leaks as content with empty ``tool_calls``. ``adjust_request`` now skips
the constraint for both ChatCompletion (``ChatCompletionNamedToolChoice``)
and Responses (``ToolChoiceFunction``) named choices.
2. ``extract_tool_calls`` stripped string-typed argument values, corrupting
content whose whitespace is significant (e.g. code/file bodies losing
leading indent and trailing newline). String values are now kept verbatim;
only non-string types are stripped/deserialized.
"""
from __future__ import annotations
import json
from typing import Any
from openai.types.responses.tool_param import FunctionToolParam
from vllm.entrypoints.openai.chat_completion.protocol import ChatCompletionRequest
from vllm.entrypoints.openai.responses.protocol import ResponsesRequest
from vllm.tool_parsers.poolside_v1_tool_parser import PoolsideV1ToolParser
def _write_file_tool() -> dict[str, Any]:
"""Tool with a string arg (``content``) and a non-string arg (``mode``)."""
return {
"type": "function",
"function": {
"name": "write_file",
"description": "Write content to a file",
"parameters": {
"type": "object",
"properties": {
"content": {"type": "string"},
"mode": {"type": "integer"},
},
"required": ["content"],
},
},
}
def _responses_write_file_tool() -> FunctionToolParam:
return FunctionToolParam(
type="function",
name="write_file",
description="Write content to a file",
parameters={
"type": "object",
"properties": {
"content": {"type": "string"},
"mode": {"type": "integer"},
},
"required": ["content"],
},
strict=True,
)
def _build_chat_request(*, tool_choice: str | dict[str, Any]) -> ChatCompletionRequest:
return ChatCompletionRequest.model_validate(
{
"model": "poolside-test",
"messages": [{"role": "user", "content": "write the file"}],
"tools": [_write_file_tool()],
"tool_choice": tool_choice,
}
)
def _build_responses_request(
*, tool_choice: str | dict[str, Any], include: list[str] | None = None
) -> ResponsesRequest:
return ResponsesRequest(
model="poolside-test",
input=[{"role": "user", "content": "write the file"}],
tools=[_responses_write_file_tool()],
tool_choice=tool_choice,
stream=True,
max_output_tokens=200,
include=include,
)
class _StubTokenizer:
"""Minimal tokenizer stub to satisfy ``PoolsideV1ToolParser.__init__``."""
def get_vocab(self) -> dict[str, int]:
return {"<tool_call>": 151_657, "</tool_call>": 151_658}
def _make_parser(request: ChatCompletionRequest) -> PoolsideV1ToolParser:
return PoolsideV1ToolParser(_StubTokenizer(), tools=request.tools)
# ---------------------------------------------------------------------------
# Bug 1: required/named must skip forced structured_outputs (#39870 pattern)
# ---------------------------------------------------------------------------
def test_required_skips_structured_outputs_chatcompletion() -> None:
request = _build_chat_request(tool_choice="required")
_make_parser(request).adjust_request(request)
assert request.structured_outputs is None
assert request.skip_special_tokens is False
def test_named_skips_structured_outputs_chatcompletion() -> None:
request = _build_chat_request(
tool_choice={"type": "function", "function": {"name": "write_file"}}
)
_make_parser(request).adjust_request(request)
assert request.structured_outputs is None
assert request.skip_special_tokens is False
def test_required_skips_structured_outputs_responses() -> None:
request = _build_responses_request(tool_choice="required")
PoolsideV1ToolParser(_StubTokenizer()).adjust_request(request)
assert request.text is None
assert request.skip_special_tokens is False
def test_named_skips_structured_outputs_responses() -> None:
# Responses-API named choice parses to ToolChoiceFunction, a different
# type than the ChatCompletion named choice; both must be handled.
request = _build_responses_request(
tool_choice={"type": "function", "name": "write_file"}
)
PoolsideV1ToolParser(_StubTokenizer()).adjust_request(request)
assert request.text is None
assert request.skip_special_tokens is False
def test_auto_still_keeps_special_tokens() -> None:
request = _build_chat_request(tool_choice="auto")
_make_parser(request).adjust_request(request)
assert request.skip_special_tokens is False
# ---------------------------------------------------------------------------
# Bug 2: string arg whitespace must be preserved (#42026 pattern)
# ---------------------------------------------------------------------------
def test_string_arg_preserves_whitespace() -> None:
request = _build_chat_request(tool_choice="auto")
parser = _make_parser(request)
content = " def f():\n return 1\n"
model_output = (
"<tool_call>write_file\n"
"<arg_key>content</arg_key>\n"
f"<arg_value>{content}</arg_value>\n"
"</tool_call>"
)
result = parser.extract_tool_calls(model_output, request)
assert result.tools_called
args = json.loads(result.tool_calls[0].function.arguments)
# Leading indent and trailing newline must survive verbatim.
assert args["content"] == content
def test_non_string_arg_still_deserialized() -> None:
request = _build_chat_request(tool_choice="auto")
parser = _make_parser(request)
model_output = (
"<tool_call>write_file\n"
"<arg_key>content</arg_key>\n"
"<arg_value>hi</arg_value>\n"
"<arg_key>mode</arg_key>\n"
"<arg_value> 420 </arg_value>\n"
"</tool_call>"
)
result = parser.extract_tool_calls(model_output, request)
assert result.tools_called
args = json.loads(result.tool_calls[0].function.arguments)
assert args["content"] == "hi"
# Non-string value is stripped and parsed to its native type.
assert args["mode"] == 420
def test_responses_extract_tool_calls_with_flat_tools() -> None:
# required/named Responses calls route into extract_tool_calls with flat
# FunctionTool (.name); _is_string_type must not raise.
request = _build_responses_request(tool_choice="required")
parser = PoolsideV1ToolParser(_StubTokenizer(), tools=request.tools)
content = " x = 1\n"
model_output = (
"<tool_call>write_file\n"
"<arg_key>content</arg_key>\n"
f"<arg_value>{content}</arg_value>\n"
"</tool_call>"
)
result = parser.extract_tool_calls(model_output, request)
assert result.tools_called
args = json.loads(result.tool_calls[0].function.arguments)
assert args["content"] == content
def _weather_tool() -> dict[str, Any]:
return {
"type": "function",
"function": {
"name": "get_weather",
"description": "Get the weather for a city",
"parameters": {
"type": "object",
"properties": {"city": {"type": "string"}},
"required": ["city"],
},
},
}
def _build_weather_request(*, tool_choice: str) -> ChatCompletionRequest:
return ChatCompletionRequest.model_validate(
{
"model": "poolside-test",
"messages": [{"role": "user", "content": "weather in Paris?"}],
"tools": [_weather_tool()],
"tool_choice": tool_choice,
}
)
def test_no_newline_after_name_non_streaming() -> None:
request = _build_weather_request(tool_choice="auto")
parser = _make_parser(request)
model_output = (
"<tool_call>get_weather"
"<arg_key>city</arg_key><arg_value>Paris</arg_value>"
"</tool_call>"
)
result = parser.extract_tool_calls(model_output, request)
assert result.tools_called
assert len(result.tool_calls) == 1
assert result.tool_calls[0].function.name == "get_weather"
args = json.loads(result.tool_calls[0].function.arguments)
assert args == {"city": "Paris"}
def test_newline_after_name_still_parses_non_streaming() -> None:
request = _build_weather_request(tool_choice="auto")
parser = _make_parser(request)
model_output = (
"<tool_call>get_weather\n"
"<arg_key>city</arg_key>\n<arg_value>Paris</arg_value>\n"
"</tool_call>"
)
result = parser.extract_tool_calls(model_output, request)
assert result.tools_called
assert result.tool_calls[0].function.name == "get_weather"
args = json.loads(result.tool_calls[0].function.arguments)
assert args == {"city": "Paris"}
def test_no_newline_after_name_streaming() -> None:
request = _build_weather_request(tool_choice="auto")
parser = _make_parser(request)
model_output = (
"<tool_call>get_weather"
"<arg_key>city</arg_key><arg_value>Paris</arg_value>"
"</tool_call>"
)
name = ""
args = ""
prev = ""
for ch in model_output:
cur = prev + ch
delta = parser.extract_tool_calls_streaming(
previous_text=prev,
current_text=cur,
delta_text=ch,
previous_token_ids=[],
current_token_ids=[],
delta_token_ids=[],
request=request,
)
prev = cur
if delta is None:
continue
for tc in delta.tool_calls or []:
if tc.function is None:
continue
if tc.function.name:
name += tc.function.name
if tc.function.arguments:
args += tc.function.arguments
assert name == "get_weather"
assert json.loads(args) == {"city": "Paris"}
def _stream_partial_start_token(request: ResponsesRequest):
parser = _make_parser(request)
delta = parser.tool_call_start_token[0]
return parser.extract_tool_calls_streaming(
previous_text="",
current_text=delta,
delta_text=delta,
previous_token_ids=[],
current_token_ids=[],
delta_token_ids=[],
request=request,
)
def test_streaming_responses_request_without_logprobs() -> None:
request = _build_responses_request(tool_choice="auto")
assert _stream_partial_start_token(request) is None
def test_streaming_responses_request_with_logprobs_emits_empty_delta() -> None:
request = _build_responses_request(
tool_choice="auto", include=["message.output_text.logprobs"]
)
result = _stream_partial_start_token(request)
assert result is not None
assert result.content == ""