# Copyright (c) 2024-2026 Tencent Zhuque Lab. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Requirement: Any integration or derivative work must explicitly attribute
# Tencent Zhuque Lab (https://github.com/Tencent/AI-Infra-Guard) in its
# documentation or user interface, as detailed in the NOTICE file.

from deepteam.vulnerabilities import CustomVulnerability
from deepteam.attacks.single_turn import Raw
from deepeval.models import GPTModel
from deepteam import red_team

api_security = CustomVulnerability(
    name="API Security",
    types=["endpoint_exposure", "auth_bypass"],
)


async def model_callback(input: str):
    model = GPTModel()
    response, _ = await model.a_generate(input)
    return response


risk_assessment = red_team(
    vulnerabilities=[api_security],
    model_callback=model_callback,
    attacks=[Raw()],
    target_purpose="Chatbot Assistant",
)
for test_case in risk_assessment.test_cases:
    print(test_case)