OpenAI's latest agent-building API with built-in tools for web search, file search, code execution, and computer use in a single call.
OpenAI's latest API for building AI agents β includes built-in web search, file analysis, and code execution tools.
The OpenAI Responses API is OpenAI's next-generation API for building AI agents, succeeding the Chat Completions API with native support for agentic workflows. It provides built-in tools β web search, file search, code interpreter, and computer use β that can be invoked within a single API call, eliminating the need for external tool orchestration.
The key innovation is the agentic loop built into the API itself. When you make a Responses API call with tools enabled, the model can autonomously decide to search the web, read files, execute code, or perform multiple steps β all within a single request. The API handles the tool execution, result processing, and multi-step reasoning internally, returning the final result along with a detailed trace of all actions taken.
Web search is powered by OpenAI's own search infrastructure, giving agents real-time access to current information without third-party search APIs. File search provides vector-based retrieval over uploaded documents with automatic chunking and embedding. Code interpreter executes Python in a sandboxed environment for data analysis, calculations, and file processing.
The Responses API introduces a new conversation model with 'items' that include messages, tool calls, and tool results in a unified sequence. This makes it straightforward to build multi-turn agent conversations where the model's reasoning, tool use, and outputs are all captured in a structured format.
Computer use capability (in preview) allows agents to interact with desktop applications through screenshots and mouse/keyboard actions, enabling automation of tasks in applications that don't have APIs. This opens up entirely new agent use cases in enterprise environments.
The API supports streaming for real-time output, function calling for custom tools alongside built-in ones, and structured outputs for guaranteed schema compliance. It works with all OpenAI models including GPT-4o, o1, and o3-mini.
For developers building agents on OpenAI's models, the Responses API is becoming the recommended approach. It reduces the architectural complexity of agent systems by handling tool orchestration server-side, while maintaining flexibility through custom function calling. The built-in tools cover the most common agent needs without requiring third-party service integration.
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Native web search tool powered by OpenAI's search infrastructure, providing real-time information access within API calls.
Use Case:
Building a research agent that can search the web for current information without integrating a separate search API.
Vector-based document retrieval with automatic chunking, embedding, and relevance ranking over uploaded files.
Use Case:
Creating a document Q&A agent that answers questions from uploaded PDFs, contracts, or knowledge bases.
Sandboxed Python execution environment for data analysis, calculations, file processing, and visualization.
Use Case:
An agent that analyzes uploaded CSV data, generates statistics, creates charts, and returns downloadable results.
The API handles multi-step tool use internally β the model can chain multiple tool calls within a single request without client-side orchestration.
Use Case:
A single API call where the model searches the web, processes results with code, and synthesizes a final answer.
Screen-based interaction with desktop applications through screenshots and mouse/keyboard control for automating non-API workflows.
Use Case:
Automating data entry across legacy enterprise applications that lack API access.
Guaranteed schema compliance for response formatting using JSON schema definitions.
Use Case:
Ensuring agent responses always conform to a specific data structure for downstream processing.
GPT-4.1: $2/1M input, $8/1M output
Ready to get started with OpenAI Responses API?
View Pricing Options βAgent applications using OpenAI models
Web research agents
Document Q&A systems
Data analysis automation
We believe in transparent reviews. Here's what OpenAI Responses API doesn't handle well:
Responses API adds built-in tools (web search, file search, code interpreter), server-side tool orchestration, and a richer conversation model. It's designed for agentic workflows rather than simple chat.
Yes, custom functions work alongside built-in tools. You can combine web search, file search, and your own custom tools in a single agent configuration.
GPT-4o, o1, o3-mini, and other current OpenAI models support the Responses API. Check the docs for the latest supported models.
The Responses API is positioned as the primary API for new agent development. The Assistants API continues to work but new features are focused on the Responses API.
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