not working, but hey, keep it safe.
Browse files- basic_agent.py +58 -5
- basic_agent_test.py +13 -0
- requirements.txt +6 -1
basic_agent.py
CHANGED
@@ -2,17 +2,70 @@ import os
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import logging
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import sys
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LOG = logging.getLogger(__name__)
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# --- Basic Agent Definition ---
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# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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class BasicAgent:
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def __init__(self):
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print("BasicAgent initialized.")
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LOG.warning("
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def __call__(self, question: str) -> str:
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print(f"Agent received question (first 50 chars): {question[:50]}...")
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import logging
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import sys
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import smolagents
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LOG = logging.getLogger(__name__)
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SYSTEM_PROMPT = """
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You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.
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Take the time to plan the steps to reach the solution. Show the steps and then execute the steps.
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"""
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# --- Basic Agent Definition ---
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# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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class BasicAgent:
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def __init__(self, model_id=None):
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print("BasicAgent initialized.")
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LOG.warning("logging BasicAgent initialized.")
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if model_id:
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self.model_id = model_id
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else:
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self.model_id = "HuggingFaceTB/SmolLM2-1.7B-Instruct"
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# Run locally.
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self.model = smolagents.TransformersModel(
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model_id=self.model_id,
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max_new_tokens=8000,
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)
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#self.model = smolagents.HfApiModel(
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# max_tokens=8000,
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# temperature=0.1,
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# model_id=self.model_id,
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# custom_role_conversions=None,
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# )
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ddg = smolagents.DuckDuckGoSearchTool()
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self.tools = [smolagents.DuckDuckGoSearchTool(), smolagents.VisitWebpageTool(), smolagents.FinalAnswerTool()]
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self.search_agent = smolagents.CodeAgent(
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name="search_agent",
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description="Search the web",
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model=self.model,
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tools=self.tools,
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max_steps=6,
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verbosity_level=2,
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planning_interval=None,
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additional_authorized_imports=["duckduckgo_search"],
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)
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self.manager_agent = smolagents.CodeAgent(
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name="manager_agent",
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description="Manger of other agents",
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tools=[smolagents.FinalAnswerTool()],
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model=self.model,
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max_steps=6,
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verbosity_level=2,
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planning_interval=None,
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additional_authorized_imports=["duckduckgo_search"],
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managed_agents=[self.search_agent]
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)
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def __call__(self, question: str) -> str:
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print(f"Agent received question (first 50 chars): {question[:50]}...")
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prompt = f"{SYSTEM_PROMPT}\n\n{question}"
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answer = self.manager_agent.run(prompt)
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LOG.warning(f"{answer=}")
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return answer
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basic_agent_test.py
ADDED
@@ -0,0 +1,13 @@
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#!/usr/bin/env python3
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import logging
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import basic_agent
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LOG = logging.getLogger(__name__)
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ba = basic_agent.BasicAgent()
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answer = ba("What color is the sky?")
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LOG.warning(f"{answer=}")
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requirements.txt
CHANGED
@@ -1,2 +1,7 @@
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gradio
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-
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gradio
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huggingface_hub[hf_xet]
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langchain-core
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langcahin-ollama
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requests
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smolagents
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smolagents[transformers]
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