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Quick Start

The most common pattern: create a toolset and give your agent search and execute tools. The agent discovers and runs tools on demand. 
from stackone_ai import StackOneToolSet

toolset = StackOneToolSet()

# Your agent gets 2 tools: tool_search + tool_execute
tools = toolset.openai(mode="search_and_execute", account_ids=["your-account-id"])
Pass tools to any OpenAI-compatible model and the agent will search for relevant tools, then execute them automatically. See the OpenAI integration guide for a full agent loop.

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Fetch Tools

When you need specific tools instead of search and execute: 
tools = toolset.fetch_tools(account_ids=["your-account-id"])
openai_tools = tools.to_openai()

# Filter by providers
tools = toolset.fetch_tools(
    providers=["hibob", "workday"],
    account_ids=["your-account-id"],
)

# Filter by actions with exact match
tools = toolset.fetch_tools(
    actions=["hibob_list_employees", "hibob_create_employees"],
    account_ids=["your-account-id"],
)

# Filter by actions with glob patterns
tools = toolset.fetch_tools(
    actions=["*_list_*"],
    account_ids=["your-account-id"],
)

# Combine multiple filters
tools = toolset.fetch_tools(
    providers=["hibob"],
    actions=["*_list_*"],
    account_ids=["your-account-id"],
)
See Tool Filtering for the full reference.
# Set accounts on the toolset for all subsequent calls
toolset.set_accounts(["account-123", "account-456"])
tools = toolset.fetch_tools()

# Or pass account IDs per request
tools = toolset.fetch_tools(account_ids=["account-123", "account-456"])

# Loop over customer accounts dynamically
customer_accounts = ["account-1", "account-2", "account-3"]

for account_id in customer_accounts:
    tools = toolset.fetch_tools(
        actions=["workday_list_workers"],
        account_ids=[account_id],
    )
    employee_tool = tools.get_tool("workday_list_workers")
    if employee_tool:
        employees = employee_tool.call()
        print(f"Found {len(employees.data)} employees")

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Tool Execution

Direct execution is useful for testing and debugging. In production, your agent framework handles tool calls automatically.
tools = toolset.fetch_tools(account_ids=["your-account-id"])
employee_tool = tools.get_tool("workday_list_workers")

# call() with keyword arguments
result = employee_tool.call(id="employee-123", include_details=True)
print(result.data)

# execute() with dictionary payloads
result = employee_tool.execute({"id": "employee-123", "include_details": True})

# execute() with OpenAI-style arguments
payload = {"arguments": {"id": "employee-123"}}
result = employee_tool.execute(payload)

from stackone_ai.models import StackOneError, StackOneAPIError

try:
    result = employee_tool.call(id="employee-123")
    print("Success:", result)
except StackOneAPIError as e:
    print(f"API error: {e.message}")
except StackOneError as e:
    print(f"StackOne error: {e.message}")
except Exception as e:
    print(f"Unexpected error: {e}")

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Environment Configuration

export STACKONE_API_KEY=your_api_key
Account IDs are passed per-request when fetching tools or via toolset.openai(mode="search_and_execute", account_ids=[...]).

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Next Steps