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--------- Co-authored-by: Merve Noyan <merveenoyan@gmail.com>
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#!/usr/bin/env python | ||
# coding=utf-8 | ||
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# Copyright 2025 The HuggingFace Inc. team. 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. | ||
import argparse | ||
import os | ||
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from dotenv import load_dotenv | ||
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from smolagents import CodeAgent, HfApiModel, LiteLLMModel, Model, OpenAIServerModel, Tool, TransformersModel | ||
from smolagents.default_tools import TOOL_MAPPING | ||
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leopard_prompt = "How many seconds would it take for a leopard at full speed to run through Pont des Arts?" | ||
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def parse_arguments(description): | ||
parser = argparse.ArgumentParser(description=description) | ||
parser.add_argument( | ||
"prompt", | ||
type=str, | ||
nargs="?", # Makes it optional | ||
default=leopard_prompt, | ||
help="The prompt to run with the agent", | ||
) | ||
parser.add_argument( | ||
"--model-type", | ||
type=str, | ||
default="HfApiModel", | ||
help="The model type to use (e.g., HfApiModel, OpenAIServerModel, LiteLLMModel, TransformersModel)", | ||
) | ||
parser.add_argument( | ||
"--model-id", | ||
type=str, | ||
default="Qwen/Qwen2.5-Coder-32B-Instruct", | ||
help="The model ID to use for the specified model type", | ||
) | ||
parser.add_argument( | ||
"--imports", | ||
nargs="*", # accepts zero or more arguments | ||
default=[], | ||
help="Space-separated list of imports to authorize (e.g., 'numpy pandas')", | ||
) | ||
parser.add_argument( | ||
"--tools", | ||
nargs="*", | ||
default=["web_search"], | ||
help="Space-separated list of tools that the agent can use (e.g., 'tool1 tool2 tool3')", | ||
) | ||
parser.add_argument( | ||
"--verbosity-level", | ||
type=int, | ||
default=1, | ||
help="The verbosity level, as an int in [0, 1, 2].", | ||
) | ||
return parser.parse_args() | ||
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def load_model(model_type: str, model_id: str) -> Model: | ||
if model_type == "OpenAIServerModel": | ||
return OpenAIServerModel( | ||
api_key=os.getenv("FIREWORKS_API_KEY"), | ||
api_base="https://api.fireworks.ai/inference/v1", | ||
model_id=model_id, | ||
) | ||
elif model_type == "LiteLLMModel": | ||
return LiteLLMModel( | ||
model_id=model_id, | ||
api_key=os.getenv("OPENAI_API_KEY"), | ||
) | ||
elif model_type == "TransformersModel": | ||
return TransformersModel(model_id=model_id, device_map="auto", flatten_messages_as_text=False) | ||
elif model_type == "HfApiModel": | ||
return HfApiModel( | ||
token=os.getenv("HF_API_KEY"), | ||
model_id=model_id, | ||
) | ||
else: | ||
raise ValueError(f"Unsupported model type: {model_type}") | ||
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def main(): | ||
load_dotenv() | ||
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args = parse_arguments(description="Run a CodeAgent with all specified parameters") | ||
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model = load_model(args.model_type, args.model_id) | ||
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available_tools = [] | ||
for tool_name in args.tools: | ||
if "/" in tool_name: | ||
available_tools.append(Tool.from_space(tool_name)) | ||
else: | ||
if tool_name in TOOL_MAPPING: | ||
available_tools.append(TOOL_MAPPING[tool_name]()) | ||
else: | ||
raise ValueError(f"Tool {tool_name} is not recognized either as a default tool or a Space.") | ||
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print(f"Running agent with these tools: {args.tools}") | ||
agent = CodeAgent(tools=available_tools, model=model, additional_authorized_imports=args.imports) | ||
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agent.run(args.prompt) | ||
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if __name__ == "__main__": | ||
main() |
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