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hashbrown-dev

Building LLM-powered React applications with the Hashbrown library. Use when the user asks to (1) Build generative UI where LLMs render React components, (2) Add client-side tool calling for LLM-app interaction, (3) Stream LLM responses in React applications, (4) Execute LLM-generated JavaScript safely in a sandbox, (5) Build browser agents or AI-powered UIs with hashbrown, (6) Control React UI from LLM output, (7) Integrate with LLM providers like OpenAI, Anthropic, Google, Azure, Bedrock, or Ollama in React apps, (8) Create chatbots, form builders, predictive text inputs, or multi-threaded conversations with LLMs, (9) Transform natural language to structured data in TypeScript React applications.

aaronbassett☆ 0 Étoiles du dépôt0 Forks du dépôt

Installation

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Voir la source ↗Guides

Instructions

Fonctions et usage

Building LLM-powered React applications with the Hashbrown library. Use when the user asks to (1) Build generative UI where LLMs render React components, (2) Add client-side tool calling for LLM-app interaction, (3) Stream LLM responses in React applications, (4) Execute LLM-generated JavaScript safely in a sandbox, (5) Build browser agents or AI-powered UIs with hashbrown, (6) Control React UI from LLM output, (7) Integrate with LLM providers like OpenAI, Anthropic, Google, Azure, Bedrock, or Ollama in React apps, (8) Create chatbots, form builders, predictive text inputs, or multi-threaded conversations with LLMs, (9) Transform natural language to structured data in TypeScript React applications.

Démarrage rapide

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Guides ↗

Exemples

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Voir la source ↗

Historique source

Date d’indexation
2026-01-23
Mise à jour de l’index
2026-01-24
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

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