Update agent.py
Browse files
agent.py
CHANGED
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# Libs
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import os
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import yaml
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import importlib
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from smolagents import (
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CodeAgent,
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DuckDuckGoSearchTool,
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VisitWebpageTool,
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WikipediaSearchTool,
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OpenAIServerModel,
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SpeechToTextTool,
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FinalAnswerTool,
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)
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# Local
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from tools import GetTaskFileTool, LoadXlsxFileTool, LoadTextFileTool
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sys_instruction = (
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"You are a general AI assistant. Answer each question by reporting your thoughts, "
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"then submit ONLY a concise text using the 'final_answer' tool. "
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"Final answer MUST be a number, a few words, or a comma-separated list of numbers and/or strings. "
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"For numbers, avoid commas and units unless specified. For strings, avoid articles and abbreviations, "
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"and write digits in full unless stated otherwise. Apply these rules for list elements as well."
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)
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prompts = yaml.safe_load(
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importlib.resources.files("smolagents.prompts").joinpath("code_agent.yaml").read_text()
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)
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prompts["system_prompt"] = sys_instruction + prompts["system_prompt"]
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# req_instruction = (
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req_instruction = (
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"You are an expert and helpful agent named {{name}}.\n"
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"A valued client has assigned you the following task:\n"
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"---\n"
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"Task:\n"
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"{{task}}\n"
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"---\n"
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"Use your tools as needed. Before completing the task, plan your actions carefully.\n"
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"While completing the task, think step by step. And after completing the task, carefully double check your solution.\n\n"
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"If you respond correctly, you will be rewarded with a very high bonus.\n\n"
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"Your final_answer MUST be:\n"
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"- a number,\n"
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"- a short phrase,\n"
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"- or a comma-separated list of numbers or strings (no articles or abbreviations).\n\n"
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"Only the content passed to the final_answer tool will be preserved—everything else will be discarded."
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)
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prompts['managed_agent']['task'] = req_instruction
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prompts['managed_agent']['report'] = "{{final_answer}}"
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# print(prompts["system_prompt"])
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# print(prompts['planning'])
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# print(prompts['managed_agent'])
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# print(prompts['final_answer'])
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def get_model(
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model_id: str = "gpt-4.1-mini",
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model_temperature: float = 0.7,
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):
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"""
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Create and return an OpenAIServerModel instance with the specified model ID and temperature.
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"""
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# Load the model
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return agent
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# Libs
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import os
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import yaml
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import importlib
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from smolagents import (
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CodeAgent,
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DuckDuckGoSearchTool,
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VisitWebpageTool,
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WikipediaSearchTool,
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OpenAIServerModel,
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SpeechToTextTool,
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FinalAnswerTool,
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)
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# Local
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from tools import GetTaskFileTool, LoadXlsxFileTool, LoadTextFileTool
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sys_instruction = (
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"You are a general AI assistant. Answer each question by reporting your thoughts, "
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"then submit ONLY a concise text using the 'final_answer' tool. "
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"Final answer MUST be a number, a few words, or a comma-separated list of numbers and/or strings. "
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"For numbers, avoid commas and units unless specified. For strings, avoid articles and abbreviations, "
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"and write digits in full unless stated otherwise. Apply these rules for list elements as well."
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)
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prompts = yaml.safe_load(
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importlib.resources.files("smolagents.prompts").joinpath("code_agent.yaml").read_text()
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)
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prompts["system_prompt"] = sys_instruction + prompts["system_prompt"]
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# req_instruction = (
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req_instruction = (
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"You are an expert and helpful agent named {{name}}.\n"
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"A valued client has assigned you the following task:\n"
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"---\n"
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"Task:\n"
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"{{task}}\n"
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"---\n"
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"Use your tools as needed. Before completing the task, plan your actions carefully.\n"
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"While completing the task, think step by step. And after completing the task, carefully double check your solution.\n\n"
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"If you respond correctly, you will be rewarded with a very high bonus.\n\n"
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"Your final_answer MUST be:\n"
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"- a number,\n"
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"- a short phrase,\n"
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"- or a comma-separated list of numbers or strings (no articles or abbreviations).\n\n"
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"Only the content passed to the final_answer tool will be preserved—everything else will be discarded."
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)
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prompts['managed_agent']['task'] = req_instruction
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prompts['managed_agent']['report'] = "{{final_answer}}"
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# print(prompts["system_prompt"])
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# print(prompts['planning'])
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# print(prompts['managed_agent'])
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# print(prompts['final_answer'])
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def get_model(
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model_id: str = "gpt-4.1-mini",
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model_temperature: float = 0.7,
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):
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"""
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Create and return an OpenAIServerModel instance with the specified model ID and temperature.
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"""
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# Load the model
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if "gpt" in model_id:
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model = OpenAIServerModel(
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model_id=model_id,
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api_key=os.getenv("OPENAI_API_KEY"),
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temperature=model_temperature
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)
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elif "gemini" in model_id:
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model = OpenAIServerModel(
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model_id=model_id,
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api_key=os.getenv("GOOGLEAI_API_KEY"),
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api_base="https://generativelanguage.googleapis.com/v1beta/openai/",
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temperature=model_temperature
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)
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else:
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raise ValueError(f"Unknown model_id: {model_id}. Supported models are gpt and gemini.")
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return model
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def get_agent(
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model_id: str = "gpt-4.1-mini",
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model_temperature: float = 0.7,
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agent_max_steps: int = 15,
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):
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"""
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Create and return a CodeAgent instance with the specified model and tools.
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"""
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# Defne the agent with the tools
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agent = CodeAgent(
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tools=[
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DuckDuckGoSearchTool(),
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VisitWebpageTool(),
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WikipediaSearchTool(),
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GetTaskFileTool(),
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SpeechToTextTool(),
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LoadXlsxFileTool(),
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LoadTextFileTool(),
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FinalAnswerTool(),
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],
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model=get_model(
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model_id=model_id,
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model_temperature=model_temperature,
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),
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prompt_templates=prompts,
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max_steps=agent_max_steps,
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additional_authorized_imports = ["pandas"],
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name="GAIAAgent",
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)
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return agent
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