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AgentsMédio

Agent Component

porinference-sh·inference-sh· v1.0.0 · atualizado em 2026-04-10
77
Score

This skill enables the agent to interact with and control user interfaces. It allows the agent to automate tasks and extract information from applications through UI elements.

ai-agentagent-uireact-componentllm-integrationhuman-in-the-looptool-lifecycle
Linguagens
TypeScriptJavaScript
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Documento do Skill

SKILL.mdagent-ui/workflow
1. Install the agent component using `npx shadcn@latest add https://ui.inference.sh/r/agent.json`.
2. Install the SDK for the proxy route using `npm install @inferencesh/sdk`.
3. Create an API proxy route in your Next.js application (e.g., `app/api/inference/proxy/route.ts`).
4. Set the `INFERENCE_API_KEY` environment variable.
5. Import the `Agent` component.
6. Configure the `Agent` component with `proxyUrl` and `agentConfig`.
7. Optionally, add client-side tools using `createScopedTools`.
8. Render the `Agent` component in your application.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

Agent Component
agent-ui
Fases Cognitivas4
1.SENSE
2.CONTEXTUALIZE
3.ACT
4.REFLECT
Triggers7
integrate an AI agent into my UIadd an agent component to my Next.js appbuild a user interface for an AI agentimplement a human-in-the-loop workflow for an AI agentuse the ui.inference.sh agent componentcreate an agent with tool lifecycle managementadd a client-side tool to my agent

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download agent-ui
$ synaptic skills detail agent-ui
$ synaptic skills live agent-ui

Dependências

@inferencesh/sdkshadcn/ui

Links

GitHub Repository