OpenAI has introduced a range of AI tools designed to assist developers in creating dependable and effective agents. These agents, according to OpenAI, are systems capable of autonomously carrying out different tasks on behalf of the user. The newly launched tools, built using the company’s own AI models and frameworks, are also intended to support businesses in developing AI agents.
While OpenAI has introduced a range of model capabilities in the last few years, the company claims that its customers shared that transforming these capabilities into production-ready agents has been fraught with challenges. To address these challenges, OpenAI has introduced a set of new APIs and tools that are designed to simplify the development of agentic applications. These new tools and capabilities include the Responses API, built-in tools such as web search, file search, and computer use; the Agents SDK; and observability tools.
“These new tools streamline core agent logic, orchestration, and interactions, making it significantly easier for developers to get started with building agents,” OpenAI said in its official blog. The company said that in the coming weeks and months, it has plans to release additional tools and capabilities to further simplify and enhance the development of agentic applications on its platform.
Custom AI agents for businesses
OpenAI has introduced the Responses API, which includes built-in tools like web search, file search, and computer use, designed to help businesses create custom AI agents. These tools work together to connect models to the real world, enhancing task completion. Key features include a unified design, intuitive streaming events, and SDK helpers like response.output_text for easy text access. The Responses API replaces the Assistants API, which will be phased out by mid-2026.
Web search in the API allows developers to access fast, up-to-date information with citations. File Search enables quick, accurate searches across multiple file types, with features like query optimization and custom reranking. The Computer-Using Agent (CUA) model can automate tasks such as app workflows and data entry by generating mouse and keyboard actions. Enterprises can run the CUA locally, while the consumer version in Operator can only interact with web actions.
Agents SDK
On the other hand, the new open-source Agents SDK simplifies the development of multi-agent workflows and offers significant improvements. The improvements include making agents easily configurable LLMs with clear instructions and built-in tools; offering intelligent transfer control between agents; configurable safety checks for input and output validation; and the ability to visualise agent execution traces to debug and optimise performance.
Source: India Today
Bd-pratidin English/ Afia
