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LangBot/tests/unit_tests/provider/test_fake_requester.py
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2026-07-12 16:52:55 +08:00

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Python

"""Tests for provider test doubles used by integration paths."""
from __future__ import annotations
import pytest
from langbot.pkg.entity.persistence import model as persistence_model
from langbot.pkg.provider.modelmgr import requester
from langbot_plugin.api.entities.builtin.provider import message as provider_message
from langbot_plugin.api.entities.builtin.resource import tool as resource_tool
@pytest.mark.asyncio
async def test_fake_requester_counts_messages_and_tools(runtime_provider):
"""Fake requester should support token-free AgentRunner context budgeting."""
runtime_model = requester.RuntimeLLMModel(
model_entity=persistence_model.LLMModel(
uuid='fake-count-model',
name='fake-count-model',
provider_uuid=runtime_provider.provider_entity.uuid,
abilities=['func_call'],
extra_args={},
),
provider=runtime_provider,
)
async def _placeholder_func(**kwargs):
return kwargs
messages = [
provider_message.Message(role='system', content='You are a test assistant.'),
provider_message.Message(
role='user',
content=[
provider_message.ContentElement(type='text', text='hello'),
provider_message.ContentElement(type='text', text=' world'),
],
),
]
tools = [
resource_tool.LLMTool(
name='lookup',
human_desc='Lookup',
description='Lookup a value',
parameters={'type': 'object', 'properties': {'query': {'type': 'string'}}},
func=_placeholder_func,
)
]
requester_inst = runtime_provider.requester
message_tokens = await requester_inst.count_tokens(runtime_model, messages, funcs=[])
message_and_tool_tokens = await requester_inst.count_tokens(runtime_model, messages, funcs=tools)
assert message_tokens > 0
assert message_and_tool_tokens > message_tokens
assert requester_inst._last_count_tokens_payload[-1]['name'] == 'lookup'
assert requester_inst._last_count_tokens_payload[1]['content'] == 'hello world'