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.
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
Voir la source ↗GuidesInstructions
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
Consultez les exemples du dépôt source.
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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