Openai is enhancing the game with a new set of tools and APIs that make building advanced AI agents easier for developers. The latest releases include the Agent SDK and the Responses API. Both are intended to simplify the way developers create and manage AI agents for various tasks.
The news follows last week’s announcement from the creators of ChatGpt on the launch of an AI agent that costs between $2,000 and $20,000 a month for coding and PHD-level research tasks.
Announcing its launch on X, Openai said the new tools will help developers build more reliable and capable AI agents.
We are launching new tools to enable developers to build powerful AI agents that they can trust. 🤖🔧
Timestamp:
01:54 Web search
02:41File search
03:22 Using a computer
04:07Response API
10:17 Agents SDK pic.twitter.com/vy514tdmdz– Openai Developer (@openaidevs) March 11, 2025
Agent SDK: Managing Multi-Agent Systems
Agent SDK is what makes it easier for developers to manage systems that contain multiple AI agents. It brings features like task delegation, safety checks, performance visualization, and more, helping developers to work together to build agents that can handle complex workflows. The focus is on creating a system that allows agents to collaborate and make decisions efficiently.
Response API: Simple and versatile
Alongside the SDK, OpenAI launched the answers API. This combines the ease of the Chat Completions API with the functionality of the Assistants API. This API is useful for AI agents.
Search the web for the latest information on the same model as ChatGPT. Search for documents to help the industry, such as customer support and legal research. Tasks such as file navigation and automated operations interact directly with the computer system.
Introducing the tools
To give developers a direct look, Openai held an exclusive hacknight in San Francisco. Participants were able to see these tools in action and explored practical applications that could rebuild the industry. The event also included LiveStream and AMA sessions, where Openai engaged directly with the developer community, answered questions and shared real-world examples.
Why is this important?
Openai’s movement is part of a broader goal to enable businesses to build AI agents that can automate tasks such as financial analysis and customer service. With more companies paying for CHATGPT products, there is a clear demand for customized AI solutions that can streamline operations and increase productivity.
However, Openai is not alone in this space. Competition from China in particular is intensifying. Chinese AI startup Manus AI recently introduced an AI agent called Manus, claiming it is better than Openai’s Deepresearch agent. Monica is also working with Alibaba’s Qwen AI team, demonstrating the competitiveness of the AI space.
What’s next for AI development?
These new tools from Openai show a strong commitment to supporting developers and businesses looking to build better AI agents. As more players enter the field, Openai focuses on providing practical tools that will help developers build smarter and more efficient agents.
