OpenAI expands AI agent capabilities — how businesses and developers can use them and why it matters.
OpenAI has introduced the Responses API, a toolset designed to empower businesses and developers to build AI agents capable of performing autonomous tasks. These agents can search the web, navigate files, and execute computer-based actions with minimal human intervention. The Responses API allows AI models to integrate into workflows requiring real-time decision-making, enhancing automation in industries such as customer support, finance, and research. Alongside this, OpenAI is launching the Agents SDK, enabling developers to coordinate multiple AI agents to handle complex, multi-step processes. These updates are set to replace the existing Assistants API by mid-2026, offering a more advanced framework for AI-driven task execution.
Understanding the Responses API
The Responses API represents a significant advancement in AI integration, allowing agents to access and process real-time information from external sources. Unlike traditional AI models that rely solely on static training data, this API enables AI agents to retrieve, analyze, and act on up-to-date information. This capability is particularly beneficial for applications requiring current data, such as legal research, financial modeling, and automated customer support. By facilitating real-time data interaction, the Responses API enhances the relevance and accuracy of AI-driven decisions.
The Agents SDK: Coordinating Complex Tasks
Complementing the Responses API, the Agents SDK provides developers with tools to manage multiple AI agents working in unison. This coordination is crucial for handling intricate, multi-step processes that a single agent might struggle to execute efficiently. For instance, in a customer service scenario, one agent could handle initial inquiries while another processes transactions, all within a cohesive system. The Agents SDK streamlines the development of such coordinated workflows, reducing the complexity and time required to deploy effective AI solutions.
Recent Developments from OpenAI
OpenAI has increasingly focused on delivering agentic experiences that go beyond chat to actually accomplish complex tasks on behalf of a user. The company has introduced several initiatives that push AI beyond static interactions into more dynamic, problem-solving roles. Operator was released as a research preview in early 2025, allowing AI to use its own browser to perform web-based tasks, like booking flights or conducting research. Initially available to Pro users in the U.S., Operator showcases OpenAI’s vision for AI that acts as a digital assistant capable of executing tasks independently. Similarly in February 2025, the AI leader introduced Deep Research, a service built on the o3 model, designed to generate in-depth reports by combining advanced reasoning with real-time web search. The tool provides comprehensive responses within minutes, positioning it as a valuable asset for professionals needing quick, reliable analysis.
The Role of Dappier in the Evolving AI Landscape
Here’s where Dappier comes in. As AI technology continues to evolve, Dappier provides a platform that enables businesses and developers to fully leverage these advancements. Unlike OpenAI’s closed ecosystem, Dappier supports multiple large language models (LLMs) and frameworks, allowing users to integrate AI capabilities that best suit their needs.
Regardless of what LLM you’ve tapped for your AI application, Dappier enables businesses to create, deploy, and monetize AI agents seamlessly:
• Versatile Integration: Dappier’s compatibility with multiple LLMs and frameworks ensures that businesses can choose the AI models that align with their objectives. It supports Retrieval-Augmented Generation (RAG) and Multi-Channel Processing (MCP), among other capabilities.
• Monetization Opportunities: Users can transform their proprietary content into AI-powered applications, publish AI agents, and set their own prices, allowing content owners to directly benefit from AI monetization.
• Secure AI Deployment: Dappier ensures AI-powered workflows maintain control and security over proprietary data, making it a reliable choice for businesses concerned with data privacy.
• AI-Powered Widgets and Marketplace: Businesses and content creators can use Dappier to expand their reach through an AI-powered marketplace, enhancing discoverability while retaining full control over how their data is used.
In the context of OpenAI’s new Responses API and Agents SDK, Dappier provides businesses with an alternative to locking themselves into one AI ecosystem. OpenAI’s tools focus on providing automation within its proprietary framework, but Dappier offers the flexibility to build AI-powered applications using multiple frameworks while enabling businesses to retain ownership over their data and revenue streams.
As AI moves beyond simple chat interfaces toward fully autonomous agents, platforms like Dappier will be essential for businesses looking to build AI-driven applications without sacrificing flexibility or control.
