Which GPT model will my agent use?

We select the best model for your needs. Complex reasoning tasks use GPT-4 class models, while simpler tasks use faster, more affordable options. We mix models within the same agent to optimize cost and performance.

Can my agent call our internal APIs and systems?

Yes. We define custom tools and MCP server connections that link your agent to any system with an API. Your CRM, database, payment processor, or custom backend can all become agent tools.

What are guardrails and why do they matter?

Guardrails are validation rules that run in parallel with the agent. They check every response for PII exposure, off-topic content, brand voice compliance, and business rule violations before the response reaches your customer.

Is my data shared with OpenAI for training?

No. When using the API through the SDK, your data is not used for model training by default. We also configure data handling settings according to your privacy requirements.

Can I switch to a different AI provider later?

Yes. While the SDK is optimized for OpenAI, it supports 100+ LLMs via the Chat Completions API. We design business logic portably so switching providers does not mean starting from scratch.

AI Agents With Handoffs, Guardrails, and Tracing

We use the OpenAI Agents SDK to build lightweight multi-agent systems with specialized handoffs, parallel guardrails, and built-in tracing. Your agents understand context, call your tools, and stay within your defined boundaries.

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We build, deploy, and manage your AI agent. You focus on your business.

What Is the OpenAI Agents SDK?

The OpenAI Agents SDK (previously called "Swarm") is a lightweight, open-source framework from OpenAI for building agentic AI workflows. It provides four core primitives: Agents (LLMs with instructions and tools), Handoffs (delegation between specialists), Guardrails (input/output validation running in parallel), and Tracing (built-in observability for debugging).

While optimized for OpenAI models (GPT-4o, o3), it supports 100+ LLMs via the Chat Completions API. The SDK also supports MCP tool servers, voice agents via the Realtime API, and sessions for persistent memory across runs.

The tradeoffs: no built-in long-term memory (agents are stateless by default), not designed for complex graph-based workflows with conditional branching (LangGraph is better for that), no built-in RAG or vector store integration, and no visual builder. It trades control for simplicity. We add the missing layers so you get production-ready agents from a lightweight foundation.

How We Use the OpenAI Agents SDK for Your Agents

Multi-Agent Handoff Systems

We build specialized agents (billing, support, returns, FAQ) that hand off to each other based on customer intent, with guardrails ensuring PII is never exposed in responses.

Tool-Calling Business Agents

We connect agents to your CRMs, ERPs, and databases via function tools and MCP servers so agents look up orders, update records, and trigger workflows, not just chat.

Input/Output Guardrails for Compliance

We deploy parallel-running guardrails that validate every response against your business rules, detect PII, block off-topic requests, and enforce brand voice before responses reach customers.

Voice Agent Deployment

We use the Realtime API integration to build phone-based customer service agents with natural conversation flow, interruption handling, and context management for SME call centers.

Agent Orchestration With Tracing

We design tiered support systems where a triage agent classifies requests and hands off to the right specialist, all within a single run with full tracing for quality assurance.

Rapid Agent Prototyping

We use the SDK lightweight design to quickly prototype agent concepts for clients, test with real data, then iterate based on tracing insights, going from idea to working agent in days.

Example Agents Built With the OpenAI Agents SDK

E-commerce Support Agent

Handles order tracking, returns, and product questions. A triage agent routes to order-status, refund, or FAQ specialist agents. Connected to Shopify via function tools. Guardrails block competitor pricing requests.

Appointment Scheduling Voice Agent

Voice-enabled agent for clinics or salons that answers calls, checks availability via calendar API, books appointments, and sends confirmations. Hands off to human receptionist for complex cases.

Lead Qualification Agent

Receives inbound inquiries via web chat, asks qualifying questions, scores leads, updates CRM with lead data, and routes hot leads to the sales team via Slack notification.

Invoice Processing Agent

Receives emailed invoices, extracts line items and totals, validates against purchase orders, flags discrepancies, and submits approved invoices to the accounting system.

Internal Knowledge Base Agent

Answers employee questions about company policies, benefits, and procedures by querying internal documents. Guardrails prevent off-domain answers. Hands off to HR for sensitive topics.

Multi-Language Customer Service Agent

Detects customer language, routes to language-specific agents with culturally appropriate responses. Handles English, Malay, and Mandarin for Southeast Asian SMEs.

Why Let Us Handle the OpenAI Agents SDK?

It is code-only and requires real expertise

The SDK has no visual builder, no built-in memory, and no ready-made integrations. Building a production agent from scratch takes significant development effort.

Things break and need someone watching

API changes, model updates, and unexpected agent behavior happen. Someone needs to monitor your agents and fix issues before they affect your business.

Your time is better spent on your business

Every hour wrangling SDK code is an hour not spent on sales, customers, or growth. Let us handle the technical side.

We manage the SDK complexity. You get the GPT-powered results.