feat: Add a new llm provider - novita (#506)

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Wendong-Fan 2025-05-02 03:31:26 +08:00 committed by GitHub
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examples/run_novita_ai.py Normal file
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# ========= 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 sys
import pathlib
from dotenv import load_dotenv
from camel.models import ModelFactory
from camel.toolkits import (
CodeExecutionToolkit,
ExcelToolkit,
ImageAnalysisToolkit,
BrowserToolkit,
FileWriteToolkit,
)
from camel.types import ModelPlatformType, ModelType
from camel.logger import set_log_level
from camel.societies import RolePlaying
from owl.utils import run_society, DocumentProcessingToolkit
base_dir = pathlib.Path(__file__).parent.parent
env_path = base_dir / "owl" / ".env"
load_dotenv(dotenv_path=str(env_path))
set_log_level(level="DEBUG")
def construct_society(question: str) -> RolePlaying:
r"""Construct a society of agents based on the given question.
Args:
question (str): The task or question to be addressed by the society.
Returns:
RolePlaying: A configured society of agents ready to address the question.
"""
# Create models for different components
models = {
"user": ModelFactory.create(
model_platform=ModelPlatformType.NOVITA,
model_type=ModelType.NOVITA_LLAMA_4_MAVERICK_17B,
model_config_dict={"temperature": 0},
),
"assistant": ModelFactory.create(
model_platform=ModelPlatformType.NOVITA,
model_type=ModelType.NOVITA_LLAMA_4_MAVERICK_17B,
model_config_dict={"temperature": 0},
),
"browsing": ModelFactory.create(
model_platform=ModelPlatformType.NOVITA,
model_type=ModelType.NOVITA_LLAMA_4_MAVERICK_17B,
model_config_dict={"temperature": 0},
),
"planning": ModelFactory.create(
model_platform=ModelPlatformType.NOVITA,
model_type=ModelType.NOVITA_LLAMA_4_MAVERICK_17B,
model_config_dict={"temperature": 0},
),
"image": ModelFactory.create(
model_platform=ModelPlatformType.NOVITA,
model_type=ModelType.NOVITA_LLAMA_4_MAVERICK_17B,
model_config_dict={"temperature": 0},
),
"document": ModelFactory.create(
model_platform=ModelPlatformType.NOVITA,
model_type=ModelType.NOVITA_LLAMA_4_MAVERICK_17B,
model_config_dict={"temperature": 0},
),
}
# Configure toolkits
tools = [
*BrowserToolkit(
headless=False, # Set to True for headless mode (e.g., on remote servers)
web_agent_model=models["browsing"],
planning_agent_model=models["planning"],
).get_tools(),
*CodeExecutionToolkit(sandbox="subprocess", verbose=True).get_tools(),
*ImageAnalysisToolkit(model=models["image"]).get_tools(),
*ExcelToolkit().get_tools(),
*DocumentProcessingToolkit(model=models["document"]).get_tools(),
*FileWriteToolkit(output_dir="./").get_tools(),
]
# Configure agent roles and parameters
user_agent_kwargs = {"model": models["user"]}
assistant_agent_kwargs = {"model": models["assistant"], "tools": tools}
# Configure task parameters
task_kwargs = {
"task_prompt": question,
"with_task_specify": False,
}
# Create and return the society
society = RolePlaying(
**task_kwargs,
user_role_name="user",
user_agent_kwargs=user_agent_kwargs,
assistant_role_name="assistant",
assistant_agent_kwargs=assistant_agent_kwargs,
)
return society
def main():
r"""Main function to run the OWL system with an example question."""
# Default research question
default_task = "Open Brave search, summarize the github stars, fork counts, etc. of camel-ai's camel framework, and write the numbers into a python file using the plot package, save it locally, and run the generated python file."
# Override default task if command line argument is provided
task = sys.argv[1] if len(sys.argv) > 1 else default_task
# Construct and run the society
society = construct_society(task)
answer, chat_history, token_count = run_society(society)
# Output the result
print(f"\033[94mAnswer: {answer}\033[0m")
if __name__ == "__main__":
main()

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@ -32,6 +32,9 @@ OPENAI_API_KEY="Your_Key"
#GOOGLE GEMINI API (https://ai.google.dev/gemini-api/docs/api-key)
# GEMINI_API_KEY ="Your_Key"
# NOVITA API (https://novita.ai/settings/key-management?utm_source=github_owl&utm_medium=github_readme&utm_campaign=github_link)
# NOVITA_API_KEY="Your_Key"
#===========================================
# Tools & Services API
#===========================================

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@ -255,6 +255,7 @@ MODULE_DESCRIPTIONS = {
"run_groq": "Using groq model to process tasks",
"run_ppio": "Using ppio model to process tasks",
"run_together_ai": "Using together ai model to process tasks",
"run_novita_ai": "Using novita ai model to process tasks",
}
@ -640,6 +641,8 @@ def get_api_guide(key: str) -> str:
return "https://chunkr.ai/"
elif "firecrawl" in key_lower:
return "https://www.firecrawl.dev/"
elif "novita" in key_lower:
return "https://novita.ai/settings/key-management?utm_source=github_owl&utm_medium=github_readme&utm_campaign=github_link"
else:
return ""

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@ -254,6 +254,7 @@ MODULE_DESCRIPTIONS = {
"run_groq": "使用groq模型处理任务",
"run_ppio": "使用ppio模型处理任务",
"run_together_ai": "使用together ai模型处理任务",
"run_novita_ai": "使用novita ai模型处理任务",
}
@ -623,6 +624,8 @@ def get_api_guide(key: str) -> str:
return "https://chunkr.ai/"
elif "firecrawl" in key_lower:
return "https://www.firecrawl.dev/"
elif "novita" in key_lower:
return "https://novita.ai/settings/key-management?utm_source=github_owl&utm_medium=github_readme&utm_campaign=github_link"
else:
return ""