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OpenAI just announced AgentKit.. Here is everything you need to know!
Core Component - Agent Builder: A visual, drag-and-drop WYSIWYG editor for building AI agent workflows; users can assemble nodes for actions like reasoning, tool calls, data processing, and publish agents without extensive coding.
Supporting Tools in AgentKit:
ChatKit: Embeddable chat UI for integrating agents into apps, websites, or tools like Slack, with customizable widgets for dynamic interactions.
Guardrails: Built-in safety features to filter inputs/outputs, ensuring compliance and preventing harmful responses.
Evals: Tools for testing, benchmarking, and optimizing agents, including datasets, trace grading, and automatic prompt refinement via Reinforcement Fine-Tuning (RFT).
Key Features:
Supports integrations with external services via Multi-Cloud Providers (MCPs) like Zapier (connecting to 8,000+ apps), web search, file access, and computer use.
Built-in observability for debugging, with traces and logs to iterate on agent behavior.
Optimized for multi-step agentic tasks, including self-correction and decision escalation.
Additional Integrations: Includes Agents SDK for programmatic control and Apps SDK for embedding third-party apps (e.g., Spotify, Canva) into workflows, creating an app ecosystem within ChatGPT.
How It Works: Design workflows on a canvas, integrate with OpenAI models (e.g., GPT-5 Pro), test with evals, apply guardrails, and deploy via ChatKit or SDKs; examples include automating support tickets, report generation, or team surveys.
Availability: Live now on the OpenAI Platform (platform.openai.com/agent-builder); preview apps available today, with full app store submissions opening later in 2025; tied to OpenAI's API pricing and models.
Model Limitations: Primarily uses OpenAI models only; no native support for third-party LLMs like Anthropic or Google models in core workflows.
Competitive Positioning: Direct rival to tools like n8n for workflow automation, potentially disrupting the market with its AI focus, scale, and integration with ChatGPT's 800M+ users; praised for intuitive UX but seen as evolving.
Potential Impact: Enables non-experts to build custom agents, turning AI into "team members"; part of larger DevDay announcements including GPT-5 Pro and Sora 2.
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