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from smolagents import CodeAgent, LiteLLMModel, InferenceClientModel
from tools import duck_search_tool, visit_web_page_tool, youtube_transcript_search
# Initialize the model for agent_1
agent_1_instructions = "Search for and retrieve relevant information about the question asked. Do not respond with any thought just the final answer:\n"
model_1 = InferenceClientModel(
"Qwen/Qwen2.5-Coder-32B-Instruct", provider="together", max_tokens=8096
)
web_agent_1 = CodeAgent(
model=model_1,
tools=[
duck_search_tool,
visit_web_page_tool,
youtube_transcript_search,
],
name="web_agent_1",
description="Searches youtube transcripts and retrieve relevant information about the question asked",
verbosity_level=0,
max_steps=10,
)
model_2 = InferenceClientModel(model_id= "meta-llama/Llama-3.3-70B-Instruct")
web_agent_2 = CodeAgent(
model=model_2,
tools=[
duck_search_tool,
visit_web_page_tool,
],
name="web_agent_2",
description="Searches the web and retrieve relevant information about the question asked",
verbosity_level=0,
max_steps=10,
)
model_3 = LiteLLMModel(model_id="anthropic/claude-3-5-sonnet-latest")
web_agent_3 = CodeAgent(
model=model_3,
tools=[
duck_search_tool,
visit_web_page_tool,
],
name="web_agent_3",
description="Searches the web and retrieve relevant information about the question asked",
verbosity_level=0,
max_steps=10,
) |