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140bc8d 7899abd d50799a 6ae86e3 3c27da6 140bc8d 6ae86e3 3c27da6 6ae86e3 3c27da6 dd8d8c2 3c27da6 dd8d8c2 3c27da6 dd8d8c2 3c27da6 dd8d8c2 7899abd dd8d8c2 3c27da6 dd8d8c2 3c27da6 dd8d8c2 3c27da6 7899abd 140bc8d e9d68cc dd8d8c2 3c27da6 140bc8d 4ffd51c dd8d8c2 140bc8d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | from smolagents import (
CodeAgent,
ToolCallingAgent,
#InferenceClientModel,
#WebSearchTool,
OpenAIServerModel,
LiteLLMModel,
)
import os
import wikipedia
import time
import numpy
import pandas
import xlrd
import markdownify
import requests
from tools import python_wikipedia_tools, smolagents_code_tools, smolagents_web_tools, smolagents_speech_tools
#model = InferenceClientModel(
# max_tokens=2096,
# temperature=0.5,
# model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
# custom_role_conversions=None,
# )
#model = OpenAIServerModel(
# model_id="gemini-2.0-flash",
# api_base="https://generativelanguage.googleapis.com/v1beta/openai/",
# api_key=os.getenv("GEMINI_API_KEY"),
#)
# to run locally
model_gemma = LiteLLMModel(
model_id="ollama/gemma3:27b",
api_base="http://localhost:11434",
)
model_devstral = LiteLLMModel(
model_id="ollama/devstral:latest",
api_base="http://localhost:11434",
)
web_search_agent = ToolCallingAgent(
tools=smolagents_web_tools,
model=model_gemma,
max_steps=10,
#additional_authorized_imports=["wikipedia", "markdownify", "requests"],
name="web_search_agent",
description="A tool calling agent which can perform web searches. It has available tools including GoogleSearchTool, VisitWebpageTool and WikipediaSearchTool",
)
code_agent = CodeAgent(
tools=smolagents_code_tools + python_wikipedia_tools,
model=model_gemma,
max_steps=10,
additional_authorized_imports=["time", "numpy", "pandas", "wikipedia", "xlrd", "markdownify", "requests"],
name="code_agent",
description="A code agent which can write and interpret code. It has available tools including PythonInterpreterTool, search_wikipedia_page, get_wikipedia_page and get_wikipedia_summary",
)
manager_agent = CodeAgent(
tools=[],
model=model_gemma,
managed_agents=[web_search_agent, code_agent],
max_steps=10,
verbosity_level=1,
name="manager_agent",
description="Manages the web_search_agent and code_agent. Can perform web searches with the ToolCallingAgent called web_search_agent. Can use the CodeAgent called code_agent to run pythin code.",
) |