Source code for camel.models.nemotron_model
# ========= Copyright 2023-2024 @ CAMEL-AI.org. 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.
# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
import os
from typing import Optional, Union
from camel.models.openai_compatible_model import OpenAICompatibleModel
from camel.types import ModelType
from camel.utils import (
BaseTokenCounter,
api_keys_required,
)
[docs]
class NemotronModel(OpenAICompatibleModel):
r"""Nemotron model API backend with OpenAI compatibility.
Args:
model_type (Union[ModelType, str]): Model for which a backend is
created.
api_key (Optional[str], optional): The API key for authenticating with
the Nvidia service. (default: :obj:`None`)
url (Optional[str], optional): The url to the Nvidia service.
(default: :obj:`https://integrate.api.nvidia.com/v1`)
timeout (Optional[float], optional): The timeout value in seconds for
API calls. If not provided, will fall back to the MODEL_TIMEOUT
environment variable or default to 180 seconds.
(default: :obj:`None`)
Notes:
Nemotron model doesn't support additional model config like OpenAI.
"""
@api_keys_required(
[
("api_key", "NVIDIA_API_KEY"),
]
)
def __init__(
self,
model_type: Union[ModelType, str],
api_key: Optional[str] = None,
url: Optional[str] = None,
timeout: Optional[float] = None,
) -> None:
url = url or os.environ.get(
"NVIDIA_API_BASE_URL", "https://integrate.api.nvidia.com/v1"
)
api_key = api_key or os.environ.get("NVIDIA_API_KEY")
timeout = timeout or float(os.environ.get("MODEL_TIMEOUT", 180))
super().__init__(model_type, {}, api_key, url, None, timeout)
@property
def token_counter(self) -> BaseTokenCounter:
raise NotImplementedError(
"Nemotron model doesn't support token counter."
)
[docs]
def check_model_config(self):
raise NotImplementedError(
"Nemotron model doesn't support model config."
)