FileSearchTool

from upsonic import Agent, Task
from upsonic.tools.builtin_tools import FileSearchTool
from upsonic.models.openai import OpenAIResponsesModel

# Create model with OpenAI Responses API
model = OpenAIResponsesModel(
    model_name="gpt-4o",
    provider="openai"
)

# Create file search tool with vector store IDs
# Vector stores must be created via the OpenAI API beforehand
file_search = FileSearchTool(
    file_store_ids=["vs_abc123"]
)

# Create task
task = Task(
    description="Search through the uploaded documents and find information about quarterly revenue",
    tools=[file_search]
)

# Create agent
agent = Agent(model=model, name="Document Search Agent")

# Execute
result = agent.print_do(task)
print("Result:", result)

from upsonic.tools.builtin_tools import FileSearchTool
from upsonic import Agent, Task
from upsonic.models.openai import OpenAIResponsesModel

model = OpenAIResponsesModel(
    model_name="gpt-4o",
    provider="openai"
)

# Search across multiple vector stores (max 2 for OpenAI)
file_search = FileSearchTool(
    file_store_ids=["vs_policies", "vs_procedures"]
)

task = Task(
    description="""
    Search through the company documents and answer the following:
    1. What is the remote work policy?
    2. What are the guidelines for expense reporting?
    """,
    tools=[file_search]
)

agent = Agent(model=model, name="HR Knowledge Agent")
result = agent.print_do(task)
print("Result:", result)