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OpenAI Agents SDK: Complete Guide 2026

Everything about OpenAI's official Agents SDK - function calling, code interpreter, file search. Features, pricing, and comparison with alternatives.

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OpenAI Agents SDK

Official SDK for building AI agents with GPT models, function calling, and built-in tools.

Quick Facts

AttributeValue
PricingAPI usage
ModelsGPT-4, GPT-4o, o1, o3
Best ForOpenAI-native apps
LanguagesPython, TypeScript
Key ToolsCode Interpreter, File Search
ProviderOpenAI

What is OpenAI Agents SDK?

The OpenAI Agents SDK is the official way to build agent applications with GPT models. It provides first-class support for function calling, code execution, and file search—all tightly integrated with the Assistants API.

If you’re committed to the OpenAI ecosystem, this SDK offers the cleanest developer experience. Built-in tools like Code Interpreter and File Search work out of the box without additional setup.

Key Features

  • Function Calling - Let GPT call your functions
  • Code Interpreter - Execute Python in a sandbox
  • File Search - RAG over uploaded documents
  • Streaming - Real-time response streaming
  • Threads - Persistent conversation management
  • Runs - Execute agent tasks with monitoring
  • Tool Use - Combine multiple tools
  • JSON Mode - Structured output guarantees

Pricing

Priced per API usage:

ModelInputOutput
GPT-4o$2.50/MTok$10/MTok
GPT-4$30/MTok$60/MTok
Code Interpreter$0.03/session
File Search$0.10/GB/day

Pros & Cons

Pros:

  • Official OpenAI support
  • Best integration with GPT models
  • Built-in Code Interpreter
  • Reliable, production-ready
  • Clean SDK design

Cons:

  • OpenAI lock-in
  • More expensive than alternatives
  • Less flexible than frameworks
  • Limited to OpenAI models

Alternatives

FAQ

When should I use OpenAI Agents SDK vs LangChain? Use OpenAI SDK if you’re committed to GPT and want the cleanest integration. Use LangChain if you need provider flexibility or complex orchestration.

Can I use other models? No, the SDK is specifically for OpenAI models. For multi-provider support, use LangChain or similar.

Is Code Interpreter worth it? Yes, for data analysis, file processing, and computation tasks. The sandbox execution is reliable and secure.

How does File Search compare to building my own RAG? File Search is simpler to set up but less customizable. Build your own RAG for specific embedding models or retrieval strategies.


Last verified: 2026-03-04