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new in langgraph: interrupts with typed response schemas! when your agent pauses for a human, you define what a valid response looks like: 1. responses are validated before they're passed back to the agent 2. you can render a real response form in your UI, not just a json... show more

Sydney Runkle

14,595 subscribers

18,008 просмотров • 6 дней назад •via X (Twitter)

Anya Rossi• Live Now

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Комментарии: 5

Фото профиля Kizuno18

Kizuno186 дней назад

typed boundary validation is the single biggest reliability boost for agents: passing unstructured input back to a paused execution graph causes instant state drift. in our autonomous pipeline, pydantic schemas gate all resumption payloads. typed assertions > open-ended json

Фото профиля kai Nakamura

kai Nakamura6 дней назад

Interrupt boundaries need typed contracts.

Фото профиля Hershal Rao

Hershal Rao6 дней назад

my agents can finally fail validation with style

Фото профиля AI Geeker

AI Geeker6 дней назад

A raw JSON Schema dict is exposed to clients but doesn't validate resume values, per the docs. Use a Pydantic model, TypedDict or dataclass for runtime validation. Test missing fields and type coercion separately.

Фото профиля Gaurav Tewatia

Gaurav Tewatia6 дней назад

Did u used remotion or hyperframe to build this video?

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AG-UI makes building agentic applications dramatically easier. Here's how it works. This is a model for a simple chatbot: User → LLM → Response But interactive agents that render UI, pause for approvals, and ask users for input need a much more complex model. When building these agents, a response from the LLM will include a series of state changes as the agent runs: • Agent started a task • Agent called a tool • Agent updated its state • Agent streams these tokens • Agent is waiting on a human • Agent is resuming the task The Agent-User Interaction Protocol (AG-UI) treats the LLM response as a stream of events rather than a text endpoint. In practice, here is what you get as an agent runs: 1. Lifecycle events so your UI knows where the agent is. 2. Text messages that stream tokens. 3. Tool calls so your UI can prefill a form with any required arguments. 4. State updates that keep your UI in sync with the agent. 5. Special events for human approvals, rich media, and custom needs. All of these events travel over standard transports (SSE, WebSockets, or plain HTTP) as JSON. As a result, you can build a frontend that stays in sync with the agent's progress without having to invent a custom process to make this happen. For example, building a human-in-the-loop workflow becomes an off-the-shelf component you can integrate rather than build from scratch. CopilotKit🪁 is the creator of AG-UI, and you can use it when building frontend applications pretty much anywhere: • React • Angular • Vue • React Native • Slack • Teams • Discord • WhatsApp • Telegram Here is the link for you to check it out: Thanks to the CopilotKit team for partnering with me on this post.

Santiago

17,438 просмотров • 3 месяцев назад

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33,192 просмотров • 1 год назад

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kirill avery

16,715 просмотров • 6 месяцев назад

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CopilotKit🪁

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20,103 просмотров • 4 месяцев назад

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Eddie Burfi

957,831 просмотров • 2 лет назад

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Santiago

64,237 просмотров • 1 год назад

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Avi Chawla

461,550 просмотров • 4 месяцев назад

I present to you my latest fully vibeslopped "I didn't read the code" oeuvre: Jot A self-hosted collaborative markdown editor for you, your friends, and your agents. Like Google Docs, but worse. Try it with me here: Share a note, pick access (view/comment/edit), hand the link to a human or paste the CLI instructions into your agent. They can read, edit, and comment together in real-time.

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Mario Zechner

29,316 просмотров • 6 месяцев назад

Today, we're launching a new Laracasts series that will show you the essentials building an AI agent from scratch. We start with a basic chat response and gradually introduce new concepts, such as the agent loop, custom tools, and more. 😀 "So You Want To Build An Agent"

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Laracasts

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echo.hive

88,611 просмотров • 1 год назад

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2,379,614 просмотров • 11 дней назад

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deployer

13,300 просмотров • 6 месяцев назад

Hermes agent supports Browserbase to browse and interact the web just like a human. You can add it when you setup your agent, or add it with Watch it add deodorant to my amazon cart, something much needed for engineers around the world.

Hermes agent supports Browserbase to browse and interact the web just like a human. You can add it when you setup your agent, or add it with Watch it add deodorant to my amazon cart, something much needed for engineers around the world.

Kyle Jeong

28,034 просмотров • 6 месяцев назад

You can also now create automations without any attached repos, like a daily Slack digest agent that prioritizes unread threads and DMs for your response. Find more templates in our marketplace:

You can also now create automations without any attached repos, like a daily Slack digest agent that prioritizes unread threads and DMs for your response. Find more templates in our marketplace:

Cursor

33,951 просмотров • 4 месяцев назад