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from smolagents import HfApiModel, CodeAgent, DuckDuckGoSearchTool, WikipediaSearchTool, Tool, LiteLLMModel
from langchain_community.tools.tavily_search import TavilySearchResults
from langchain_community.document_loaders import WikipediaLoader, ArxivLoader
class add(Tool):
name = "add"
description = """
This tool adds two integers together and returns an integer.
Args:
a: first integer
b: second integer
"""
inputs = {
"a":{
"type":"integer",
"description":"first integer"
},
"b":{
"type":"integer",
"description":"second integer"
}
}
output_type = "integer"
def forward(self, a: int, b: int):
return a + b
class subtract(Tool):
name = "subtract"
description = """
This tool subtracts two integers and returns an integer.
Args:
a: first integer
b: second integer
"""
inputs = {
"a":{
"type":"integer",
"description":"first integer"
},
"b":{
"type":"integer",
"description":"second integer"
}
}
output_type = "integer"
def forward(self, a: int, b: int):
return a - b
class multiply(Tool):
name = "multiply"
description = """
This tool multiplies two integers and returns an integer.
Args:
a: first integer
b: second integer
"""
inputs = {
"a":{
"type":"integer",
"description":"first integer"
},
"b":{
"type":"integer",
"description":"second integer"
}
}
output_type = "integer"
def forward(self, a: int, b: int):
return a * b
class divide(Tool):
name = "divide"
description = """
This tool divides two integers and returns an integer.
Args:
a: first integer
b: second integer
"""
inputs = {
"a":{
"type":"integer",
"description":"first integer"
},
"b":{
"type":"integer",
"description":"second integer"
}
}
output_type = "integer"
def forward(self, a: int, b: int):
if b == 0:
raise ValueError("Cannot divide by zero.")
return a / b
class modulo(Tool):
name = "modulo"
description = """
This tool returns the modulus of two integers
Args:
a: first integer
b: second integer
"""
inputs = {
"a":{
"type":"integer",
"description":"first integer"
},
"b":{
"type":"integer",
"description":"second integer"
}
}
output_type = "integer"
def forward(self, a: int, b: int):
return a % b
class WikipediaSearchTool(Tool):
name = "wikipedia_search_tool"
description = """
Search Wikipedia for a query and return top 2 results.
Args:
query: the search query.
"""
inputs = {
"query":{
"type":"string",
"description":"the search query"
}
}
output_type = "string"
def forward(self, query: str) -> str:
documents = WikipediaLoader(query=query, load_max_docs=2).load()
condensed_docs = "\n\n---\n\n".join(
[
f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content}\n</Document>'
for doc in documents
])
return {"wikipedia_results": condensed_docs}
class TavilySearchTool(Tool):
name = "tavily_search_tool"
description = """
Search the internet using the browser Tavily and return the top 3 results.
Args:
query: the search query.
"""
inputs = {
"query":{
"type":"string",
"description":"the search query"
}
}
output_type = "string"
def forward(self, query: str) -> str:
documents = TavilySearchResults(max_results=3).invoke(query=query)
condensed_docs = "\n\n---\n\n".join(
[
f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content}\n</Document>'
for doc in documents
])
return {"web_search_results": condensed_docs}
class ArvixSearchTool(Tool):
name = "arvix_search_tool"
description = """
Search arxiv for a query and return maximum 3 result.
Args:
query: The search query.
"""
inputs = {
"query":{
"type":"string",
"description":"the search query"
}
}
output_type = "string"
def forward(self, query: str) -> str:
documents = ArxivLoader(query=query, load_max_docs=3).load()
condensed_docs = "\n\n---\n\n".join(
[
f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content[:1000]}\n</Document>'
for doc in documents
])
return {"arvix_search_results": condensed_docs}
tools=[
add(),
subtract(),
multiply(),
divide(),
modulo(),
WikipediaSearchTool(),
ArvixSearchTool(),
TavilySearchTool()
]
model = LiteLLMModel(
model_id='ollama_chat/gemma3:27b',
api_base="http://127.0.0.1:11434",
num_ctx=8192
)
def delay_execution_10(pagent, **kwargs) -> bool:
"""
Delays the execution for 10 seconds.
"""
time.sleep(10)
return True
def create_agent():
agent = CodeAgent(
model = model,
tools = tools,
max_steps=10,
verbosity_level=2,
additional_authorized_imports=['*'],
planning_interval=5,
step_callbacks=[delay_execution_10]
)
return agent
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