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mai-bot/pytests/test_openai_client_toolless_request.py

165 lines
5.5 KiB
Python

from types import SimpleNamespace
import pytest
from src.config.model_configs import APIProvider, ReasoningParseMode, ToolArgumentParseMode
from src.llm_models.model_client.openai_client import (
_OpenAIStreamAccumulator,
_build_reasoning_key,
_default_normal_response_parser,
_parse_tool_arguments,
_sanitize_messages_for_toolless_request,
)
from src.llm_models.payload_content.message import Message, RoleType, TextMessagePart
from src.llm_models.payload_content.tool_option import ToolCall
@pytest.mark.parametrize("parse_mode", list(ToolArgumentParseMode))
def test_parse_tool_arguments_treats_blank_arguments_as_empty_dict(parse_mode: ToolArgumentParseMode) -> None:
assert _parse_tool_arguments("", parse_mode, None) == {}
assert _parse_tool_arguments(" ", parse_mode, None) == {}
def test_normal_response_parser_accepts_empty_string_arguments_for_parameterless_tool() -> None:
response = SimpleNamespace(
choices=[
SimpleNamespace(
finish_reason="tool_calls",
message=SimpleNamespace(
content=None,
tool_calls=[
SimpleNamespace(
id="finish-call",
type="function",
function=SimpleNamespace(name="finish", arguments=""),
)
],
),
)
],
usage=None,
model="glm-5.1",
)
api_response, usage_record = _default_normal_response_parser(
response,
reasoning_parse_mode=ReasoningParseMode.AUTO,
tool_argument_parse_mode=ToolArgumentParseMode.AUTO,
reasoning_key=None,
)
assert len(api_response.tool_calls) == 1
assert api_response.tool_calls[0].func_name == "finish"
assert api_response.tool_calls[0].args == {}
assert usage_record is None
def test_sanitize_messages_for_toolless_request_drops_assistant_tool_call_without_parts() -> None:
messages = [
Message(
role=RoleType.Assistant,
tool_calls=[
ToolCall(
call_id="call_1",
func_name="mute_user",
args={"target": "alice"},
)
],
),
Message(
role=RoleType.User,
parts=[TextMessagePart(text="继续")],
),
]
sanitized_messages = _sanitize_messages_for_toolless_request(messages)
assert len(sanitized_messages) == 1
assert sanitized_messages[0].role == RoleType.User
def test_normal_response_parser_ignores_reasoning_field_for_non_openrouter_provider() -> None:
response = SimpleNamespace(
choices=[
SimpleNamespace(
finish_reason="stop",
message=SimpleNamespace(
content="正式回复",
reasoning="推理内容",
tool_calls=None,
),
)
],
usage=None,
model="openrouter/test-model",
)
api_response, usage_record = _default_normal_response_parser(
response,
reasoning_parse_mode=ReasoningParseMode.AUTO,
tool_argument_parse_mode=ToolArgumentParseMode.AUTO,
reasoning_key=_build_reasoning_key(
APIProvider(name="test", base_url="https://openrouter.ai.example.com/api/v1", api_key="test")
),
)
assert api_response.content == "正式回复"
assert api_response.reasoning_content is None
assert usage_record is None
def test_normal_response_parser_reads_provider_reasoning_field_for_reasoning_domains() -> None:
provider_urls = [
"https://openrouter.ai/compatible-api",
"https://api.groq.com/openai/v1",
]
for provider_url in provider_urls:
response = SimpleNamespace(
choices=[
SimpleNamespace(
finish_reason="stop",
message=SimpleNamespace(
content="正式回复",
reasoning="推理内容",
tool_calls=None,
),
)
],
usage=None,
model="test-model",
)
api_response, usage_record = _default_normal_response_parser(
response,
reasoning_parse_mode=ReasoningParseMode.AUTO,
tool_argument_parse_mode=ToolArgumentParseMode.AUTO,
reasoning_key=_build_reasoning_key(
APIProvider(name="reasoning-provider", base_url=provider_url, api_key="test")
),
)
assert api_response.content == "正式回复"
assert api_response.reasoning_content == "推理内容"
assert usage_record is None
def test_stream_accumulator_reads_openrouter_reasoning_delta_field() -> None:
accumulator = _OpenAIStreamAccumulator(
reasoning_parse_mode=ReasoningParseMode.AUTO,
tool_argument_parse_mode=ToolArgumentParseMode.AUTO,
reasoning_key=_build_reasoning_key(
APIProvider(name="openrouter", base_url="https://openrouter.ai/compatible-api", api_key="test")
),
)
try:
accumulator.process_delta(SimpleNamespace(reasoning="流式推理", content=None, tool_calls=None))
accumulator.process_delta(SimpleNamespace(content="正式回复", tool_calls=None))
api_response = accumulator.build_response()
finally:
accumulator.close()
assert api_response.content == "正式回复"
assert api_response.reasoning_content == "流式推理"