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import { OpenAI } from "openai";
import { StackOneToolSet } from "@stackone/ai";
const toolset = new StackOneToolSet();
const openAITools = toolset.getTools("hris_*").toOpenAI();
await openai.chat.completions.create({
model: "gpt-4o",
messages: [
{
role: "system",
content: "You are a helpful assistant.",
},
{
role: "user",
content: "What is the name of the employee with id 123?",
},
],
tools: openAITools,
});
from openai import OpenAI
client = OpenAI()
tools = toolset.get_stackone_tools(["hris_*"], account_id=account_id)
openai_tools = tools.to_openai()
completion = await client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "List all employees"}],
tools=openai_tools
)
if completion.choices[0].message.tool_calls:
tool_call = completion.choices[0].message.tool_calls[0]
result = await tools.execute(tool_call.function.arguments)
print('Function result:', result)
import { OpenAI } from "@ai-sdk/openai";
import { generateText } from "ai";
import { StackOneToolSet } from "@stackone/ai";
const toolset = new StackOneToolSet();
const aiSdkTools = toolset.getTools("hris_*").toAISDK();
await generateText({
model: openai("gpt-4o"),
tools: aiSdkTools,
maxSteps: 3,
});
import { StackOneToolSet } from "@stackone/ai";
const toolset = new StackOneToolSet();
const tools = toolset.getTools("hris_*", "your-account-id");
const employeeTool = toolset.getTool("hris_listemployees");
const employees = await employeeTool.execute();
from langchain_openai import ChatOpenAI
toolset = StackOneToolSet()
tools = toolset.get_tools(["hris_*"], account_id=account_id)
langchainTools = tools.to_langchain();
# Create model with tools
model = ChatOpenAI(model="gpt-4o-mini")
model_with_tools = model.bind_tools(langchain_tools)
result = model_with_tools.invoke(f"Find all employees in the engineering department")
Empower your agents to interact seamlessly across an expansive range of SaaS and enterprise tools with straightforward multi tenant support. No manual setup or deep API knowledge required and out of the box compatibility with Open AI lib, LangChain, CrewAI, MCP protocol and many more.
StackOne’s Unified API read endpoints provide structured, optimized payloads. This is ideal for accurate chunking and retrieval in RAG workflows so you can empower your agents with context-rich, precise responses from the data your customers value most.
Automatically translate high-level agent instructions into optimized, structured set of tool calls - no need to manually import dozens of tools or rely on your model to choose the right one.
StackOne's tool-calling engine is fine-tuned on real-world SaaS workflows, ensuring your AI agents execute the right actions at the right time. Trained on SaaS & enterprise-specific use cases, our model understands when to read, write, or update data across 200+ integrations, enhancing accuracy and reducing errors.
Without StackOne AI agents often struggle with tool selection, complex authentication, and a lack of observability—leading to errors, increased maintenance, and unreliable outcomes. Developers also face vendor lock-in risks with rigid tool frameworks, limiting flexibility and increasing long-term costs.
StackOne provides everything you need to integrate, scale, and monitor every tool call - covering a wide range of tools with deep, customizable control
StackOne auto-detects and handles all authentication types via our embeddable Hub, clearing the path for your agents so they can focus on taking action without interruption while simplifying each tool call.
Pre‑written instructions for all integrations mean faster onboarding and fewer “How do I connect?” emails - plus the freedom to swap in your own guides anytime.
StackOne simplifies multi-tenant tool call authentication using account identifiers, improving accuracy and reducing credential errors. The dashboard lets you control AI actions per project or tenant for fine-grained access with minimal effort.
Precisely manage which AI actions your agents can perform on a per-customer or per-project basis. StackOne gives you fine-grained control with easy-to-configure allowlists and denylists, enhancing compliance and security.
Choose across multiple data processing regions or go the self/hybrid rout with deployment options tailored to your business needs.
Built with security and privacy at its core, StackOne meets stringent enterprise standards, including SOC 2, GDPR, and HIPAA compliance. Our no-storage-by-default architecture keeps your and your customers data protected, secure, and private. Check out our security policies and certifications at trust.stackone.com.
StackOne’s Integration Copilot, powered by StackChat, guides you through building, testing, and shipping integrations. With knowledge of 600+ APIs at your fingertips, you can access pre-indexed resources and receive real-time help, cutting down development time and eliminating guesswork.
Leverage StackOne’s Magic Mappings to create custom tools effortlessly - no coding or diving into individual SaaS APIs required. Our AI-powered system auto-generates the necessary API calls and transformations to fit your schema.
StackOne is built with open-source at its core, from our use of Instructor or Langchain to Zod, Vllm, SSTand more. That's why we're also commited to support and develop open-source projects to empower AI agent builders everywhere.
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