OpenAI Unveils AgentKit: Revolutionizing AI Agent Development

OpenAI launches AgentKit to help developers build and ship AI agents | TechCrunch

OpenAI CEO Sam Altman on Monday announced the launch of AgentKit, a toolkit for building and deploying AI agents, at the firm's Dev Day event. "AgentKit is a complete set of building blocks available in the open AI platform designed to help you take agents from prototype to production. It is everything you need to build, deploy, and optimize agent workflows with way less friction," Altman said. The launch highlights OpenAI's push to increase developer adoption by making agent building faster and easier. It also signals a competitive move against other AI platforms racing to offer integrated tools for building autonomous agents for enterprises that can perform complex tasks, not just respond to prompts. AgentKit was one of several announcements at OpenAI's Dev Day, including the launch of the ability to build apps directly inside ChatGPT, which has hit 800 million weekly active users. AgentKit includes a few core capabilities. The first is Agent Builder, which Altman described as like Canva for building agents. "It's a fast, visual way to design the logic, steps, ideas," Altman said. "It's built on top of the responses API that hundreds of thousands of developers already use." The second capability of AgentKit is ChatKit, which provides a simple embeddable chat interface that developers can use to bring chat experiences into their own apps. "You can bring your own brand, your own workflows, whatever makes your own product unique," Altman said. Evals for Agents introduces tools to measure AI agent performance, including step-by-step trace grading, datasets for assessing individual agent components, automated prompt optimization, and the ability to run evaluations on external models directly from the OpenAI platform. Finally, AgentKit includes access to OpenAI's connector registry, so developers can securely connect agents to internal tools and third-party systems through an "admin control panel" while maintaining security and control. To prove how easy it is to use AgentKit, Christina Huang, an OpenAI engineer, built an entire AI workflow and two AI agents live onstage in under eight minutes. "This is all the stuff that we wished we had when we were trying to build our first agents," Altman said, noting that OpenAI has already signed on several launch partners that have already scaled agents using AgentKit.

OpenAI is testing ChatGPT-powered Agent Builder

OpenAI is building a tool that will allow you to create your own AI Agents. AI startups are convinced AI agents are the future and OpenAI's AI Builder could be the Visual Studio moment for building agentic experiences. As spotted on X, OpenAI Agent Builder has a flowchart where you drop small blocks (called nodes) and connect them with arrows. Each node does one job, and the arrows show the order of steps. You can start from a template like "Customer service," "Data enrichment," or "Document comparison," or click Create to start blank. As per the leaked screenshots, templates give you a ready layout you can edit. All of the nodes are connected to an Agent with your rules. You can choose a model, customize the prompt, and more. You can also set "Reasoning effort" and the output format (text or JSON). Agents can use tools. AI Builder will also support MCP. With MPC, you add connectors such as Gmail, Google Calendar, Google Drive, Outlook, SharePoint, Teams, and Dropbox After you add a connector, your agent can call that service inside the flow (for example, read a file, fetch a calendar event, or draft a reply), depending on what the connector allows. OpenAI will be sharing more details during the DevDay conference later today.

OpenAI unveils AgentKit that lets developers drag and drop to build AI agents

OpenAI launched an agent builder that the company hopes will eliminate fragmented tools and make it easier for enterprises to utilize OpenAI's system to create agents. AgentKit, announced during OpenAI's DevDay in San Francisco, enables developers and enterprises to build agents and add chat capabilities in one place, potentially competing with platforms like Zapier. By offering a more streamlined way to create agents, OpenAI advances further into becoming a full-stack application provider. "Until now, building agents meant juggling fragmented tools -- complex orchestration with no versioning, custom connectors, manual eval pipelines, prompt tuning, and weeks of frontend work before launch," the company said in a blog post. AgentKit includes: * Agent Builder, which is a visual canvas where devs can see what they've created and versioning multi-agent workflows * Connector Registry is a central area for admins to manage connections across OpenAI products. A Global Admin console will be a prerequisite to using this feature. * ChatKit enables users to integrate chat-based agents into their user interfaces. Eventually, OpenAI said it will build a standalone Workflows API and add agent deployment tabs to ChatGPT. OpenAI also expanded evaluation for agents, adding capabilities such as datasets with automated graders and annotations, trace grading that runs end-to-end assessments of workflows, automated prompt optimization, and support for third-party agent measurement tools. Developers can access some features of AgentKit, but OpenAI is gradually rolling out additional features, such as Agent Builder. Currently, Agent Builder is available in beta, while ChatKit and new evaluation capabilities are generally available. Connector Registry "is beginning its beta rollout to some API and ChatGPT Enterprise and Edu users. OpenAI said pricing for AgentKit tools will be included in the standard API model pricing. Agent Builder To clarify, many agents are built using OpenAI's models; however, enterprises often access GPT-5 through other platforms to create their own agents. However, AgentKit brings enterprises more into its ecosystem, ensuring they don't need to tap other platforms as often. Demonstrated during DevDay, the company stated that Agent Builder is ideal for rapid iteration. It also provides developers with visibility into how the agents are working. During the demo, an OpenAI developer made an agent that reads the DevDay agenda and suggests panels to watch. It took her just under eight minutes. Other model providers saw the importance of offering developer toolkits to build agents to entice enterprises to use more of their tools. Google came out with its Agent Development Kit in April, expanding multi-agent system building "in under 100 lines of code." Microsoft, which runs the popular agent framework AutoGen, announced it is bringing agent creation to one place with its new Agent Framework. OpenAI customers, such as the fintech company Ramp, stated in a blog post that its teams were able to build a procurement agent in a few hours instead of months. "Agent Builder transformed what once took months of complex orchestration, custom code, and manual optimizations into just a couple of hours. The visual canvas keeps product, legal, and engineering on the same page, slashing iteration cycles by 70% and getting an agent live in two sprints rather than two quarters," Ramp said. AgentKit's Connector Registry would also enable enterprises to manage and maintain data across workspaces, consolidating data sources into a single panel that spans both ChatGPT and the API. It will have pre-built connectors to Dropbox, Google Drive, SharePoint and Microsoft Teams. It also supports third-party MCP servers. Another capability of Agent Builder is Guardrails, an open-source safety layer that protects against the leakage of personally identifiable information (PII), jailbreaks, and unintended or malicious behavior. Bringing more chat Since most agentic interactions involve chat, it makes sense to simplify the process for developers to set up chat interfaces and connect them with the agents they've just built. "Deploying chat UIs for agents can be surprisingly complex -- handling streaming responses, managing threads, showing the model thinking and designing engaging in-chat experiences," OpenAI said. The company said ChatKit makes it simple to embed chat agents on platforms and embed these into apps or websites. However, some OpenAI competitors have begun thinking beyond the chatbot and want to offer agentic interactions that feel more seamless. Google's asynchronous coding agent, Jules, has introduced a new feature that enables users to interact with the agent through the command-line interface, eliminating the need to open a chat window. Responses The response to AgentKit has mainly been positive, with some developers noting that while it simplifies agent building, it doesn't mean that everyone can now build agents. Several developers view Agent Kit not as a Zapier killer, but rather as a tool that complements the pipeline. Zapier debuted a no-code tool for building AI agents and bots, called Zapier Central, in 2024.

DevDay 2025: OpenAI launches agent kit, updates Codex model - The Economic Times

The kit is built on top of OpenAI's Responses API, already used by hundreds of thousands of developers, Altman said on the sidelines of DevDay conference in San Francisco. Alongside Agent Kit, OpenAI announced new coding features powered by an updated version of Codex, now trained from the GPT-5 family of models.OpenAI has introduced Agent Kit, a new set of tools on its platform designed to help developers and enterprises build artificial intelligence (AI) agents from prototype to production, CEO Sam Altman said on Monday. Agent Kit includes a range of core capabilities, such as: Trace grading is the process to analyse and evaluate how an AI agent makes decisions step by step. In addition to core capabilities, developers can check how different parts of an agent are working and use built-in tools to make their prompts smarter and more effective. The kit is built on top of OpenAI's Responses API, already used by hundreds of thousands of developers, Altman said on the sidelines of DevDay conference in San Francisco. Additionally, it also integrates with OpenAI's Connectors Registry, so agents can safely connect to company tools and other apps, through an admin dashboard. Alongside Agent Kit, OpenAI announced new coding features powered by an updated version of Codex, now trained from the GPT-5 family of models. Per the latest updates, Codex can adjust its thinking time based on complexity of a task and is optimised for agentic coding workflows. Since its release, Codex has already processed over 40 trillion tokens, highlighting its wide adoption among developers, Altman revealed. The number of developers using OpenAI's tools has also doubled to 4 million, and API usage has increased from 300 million tokens per minute to 6 billion, he said. OpenAI also introduced apps that can run directly inside the chatbot. Apps including Booking.com, Canva, Coursera, Expedia, Figma, Spotify, and Zillow already made available, starting Monday.