Published on: March 12, 2025 / update from: March 12, 2025 - Author: Konrad Wolfenstein
Openai publishes API tools for the development of AI agents-a milestone in the development of autonomous AI systems-Image: Xpert.digital
Openai sets new standards in the development of autonomous AI systems
Autonomous AI made easy: Openai starts innovative APIs and tools
On March 11, 2025, Openai presented a comprehensive package of new tools and APIs yesterday, which were specially designed for the development of autonomous AI agents. This publication marks significant progress in the democratization of agent development and represents a strategic step to facilitate developers of creating powerful, independently acting AI systems. The new tools offer an improved basis for the development of agent-based applications and could fundamentally change the way in which companies and developers interact with AI technology.
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The Responses API: The heart of the new Agent platform
At the center of yesterday's announcement is the new Responses API, which offers a more flexible basis for the development of agent -based applications. This API cleverly combines the simplicity of the Chat Completions API with the advanced tool functions of the Assistants API. For developers, this means a significant simplification of the development process, since they can now create more complex applications with less effort. The Responses API is designed as a long -term replacement for the previous Assistants API, whereby Openai plans to place the latter into the new API by mid -2026 after the full integration of all functions.
The strategic realignment on Responses API shows Openai's commitment to optimize the development process for agent -based applications. While the previous Chat Chat Completions API remains available to developers who do not need integrated tools, Openaai recommends switching to the new Responses API, as this offers the same performance with additional functionality. This consolidation of the APIs reflects the endeavor to create a more coherent development environment and at the same time expand the opportunities for innovative applications.
Integrated tools for autonomous agents
An outstanding feature of the new platform are the three integrated main tools that give the agent expanded skills. The web research tool is based on the same models that Chatgpt also uses for its search functions, namely GPT-4O-Search and GPT-4O-Mini-Search. These models achieve impressive accuracy values of 90% and 88% in fact queries in the Simpleqa benchmark and offer answers with source information, similar to chatt. The pricing for this tool is $ 30 per thousand inquiries for GPT-4O search and $ 25 per thousand inquiries for the mini variant.
The second integrated tool, the file search, enables developers to extract relevant information from extensive document collections. This tool takes over the parsing, chunking and the embedding of the data, which offers a ready -to -use vector memory that can be used for $ 2.50 per thousand search queries plus storage costs of $ 0.10 per gigabyte and day, whereby the first gigabyte is free of charge.
As the third and perhaps most innovative tool, Openai introduces the computer usage function, which is based on the same model as the well-known AI agent “Operator”. This computer USING agent (CUA) enables AI agents to interact with computers by interpreting graphic user interfaces and interacting with them-by clicking, scrolling and input. Despite its impressive skills, the CUA currently achieves a success rate of 38.1% on the Osworld benchmark, 58.1% on webarena and 87% on webvoyager for web-based interactions. The use of this tool costs $ 3 per million input tokens and $ 12 per million output tokens, but is currently only available for selected developers in higher usage categories.
The Agents SDK: Orchestration of multi-agent systems
Another essential component of yesterday's announcement is the new open source Agents SDK, which enables the orchestration of both individual and several agents. This SDK represents an evolution of the former experimental swarm frameworks, which, due to its popularity, has now been upgraded to a full, officially supported development tool. It offers four core functions: easily configurable LLMs with clear instructions and integrated tools, intelligent handover between agents, configurable security controls for input and output validation as well as tracing and observability tools for visualization and optimization of the agent execution.
The Agents SDK explicitly supports a number of common agent patterns such as workflows, handed over, agents-as-tools, LLM-As-a-Judge, parallelization and guardrails. It is currently available for Python, whereby the support for node.js should follow shortly. A special advantage of the SDK is its compatibility not only with OpenAis own APIs, but also with models from other providers, provided that they offer an API corresponding to the chat completion standard. This openness promotes integration into different development environments and supports the flexibility in choosing the underlying models.
Practical applications and initial success stories
The first practical use cases for the new agent tools from Openai are already becoming apparent. Companies such as Hebbia and Coinbase have already successfully implemented the new tools, which demonstrates early trust in the performance of these technologies. The focus on practical applications shows a conscious departure from mere concept presentations towards actually usable solutions that can offer real added value.
Openai also cooperates with Internet companies such as Doordash, Instacart, Opentable, Stubhub and Uber, to develop tailor-made agent solutions for their platforms. These partnerships underline the potential of agent AI to optimize processes across industries and create new user experiences. The versatility of the applications ranges from the creation of food orders to restaurant reservations to complex research and analysis tasks.
The future landscape of the agent AI
With yesterday's publication, Openai strategically positions itself in the growing competition for dominance in the field of agent AI. Competitors such as Google and Anthropic also work on similar technologies, with projects such as Google's Deepmind Mariner and Anthropics Computer Use pursuing comparable approaches. However, what shows Openai's solution is the ability to interact directly with graphical user interfaces without needing specific integrations.
The development of agent AGI is in line with wider trends in the AI industry. More and more companies are relying on so-called “Reasoning models” that can solve complex tasks and capture their thoughts. These models form the basis for autonomous agents that can be used in various industries. Openaai also apparently also plans to develop even specialized agents that are geared towards certain specialist areas such as software development or scientific research.
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Effects on the developer community and companies
The new Tools of Openaai address central challenges with which developers are faced with the creation of AI agents. This includes the optimization of prompts, the coordination of complex processes and, above all, the introduction of transparency in development work. By providing integrated surveillance tools, Openai makes the agents' work processes understandable, which is of crucial importance for both troubleshooting and optimizing.
Olivier Godement, Openais product manager, emphasizes the challenges of scaling agents: “It is pretty easy to demonstrate your agent. However, the scaling of an agent is quite difficult and it is very difficult to get people to use it frequently ”. This statement underlines the need for the new tools that simplify the development process and to promote the creation of reliable, user -oriented agents.
Figure prospects and next steps
Openai plans to add further tools and functions in the coming weeks and months that simplify and accelerate the construction of agentic applications on their platform. The company is convinced that agents soon become an integral part of the world of work and that productivity in various industries will significantly increase. "We believe that agents will soon be an integral part of the workforce and that productivity will increase significantly across industries," says a blog post from Openaai.
Yesterday's publication of the agent tools is only the beginning of a long -term strategy. Metas Head of Business AI, Clara Shih, even predicts: “We quickly come to a point where every company, from very large to very small, will have a business agent who represents it and acts in its name in his voice-just like companies today have websites and email addresses”. This vision shows how transformative agent AI could be for the business world.
A milestone in the development of autonomous AI systems
Yesterday's publication of the agent tools by Openaai marks an important milestone in the development of autonomous AI systems. With the combination of powerful APIs, integrated tools and a flexible SDK, Openai has significantly reduced the entry hurdle for the development of AI agents. This could lead to an accelerated adoption of this technology in various industries and fundamentally change the way we interact with AI.
The strategic importance of this publication not only lies in the technical possibilities it offers, but also in the vision that it represents: a future in which autonomous AI agents act as reliable helpers in professional and everyday life. While the technology is still in its infancy, yesterday's announcement clearly shows that Openai is determined to play a leading role in the design of this future. The coming months will show how developers and companies will use these new tools to create innovative solutions that exploit the full potential of agentic AI.
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