OpenAI Announces Operator, an AI Agent That Automatically Performs Tasks on Users Behalf
The company behind ChatGPT is unveiling a new way to use AI. OpenAI has just announced Operator, an AI agent that can automatically perform tasks for you.
While rolling out ChatGPT paid subscription plans to individual users brings in significant revenue, OpenAI's commitment to supporting the AI developer community remains strong.
Viewing AI agents as the future of the artificial intelligence industry, OpenAI acknowledges that building robust, “industrial-grade” agents with current tools is difficult. To address this, the company has just announced a new toolkit that simplifies the creation of advanced AI agents capable of handling complex, multi-stage operations for both developers and enterprises.
Responses API: New Tools for Developers
Responses API is a new “primitive” API that allows developers to leverage OpenAI’s built-in tools to build their own agents. Responses API combines the simplicity of Chat Completions with the tooling power of Assistants API. With a single Responses API call, developers can perform complex tasks using multiple tools, including web search, file search, and calculator, and handle multiple interactions with the model.
With the Responses API, developers can also easily store data to evaluate agent performance with features like tracing and evaluations. The Responses API will replace the Assistants API in mid-2026.
Responses API comes with the following built-in tools:
Agents SDK: Multi-Agent workflow support
In addition to the new underlying tools, OpenAI is also announcing a new Agents SDK to help developers coordinate multi-agent workflows. It comes with improvements over the Swarm experimental agents SDK that OpenAI released last year:
The Agents SDK will work with the Responses API and Chat Completions API. Developers can also use the same SDK with non-OpenAI AI models if they support the Chat Completions API endpoint.
OpenAI is committed to enhancing its platform with deeper API integrations and new tools for deploying, evaluating, and optimizing agents, especially as models with improved agentic capabilities emerge.
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