{"library":"stellify-framework","title":"Stellify Framework","type":"library","description":"Stellify Framework, currently at version 0.2.2, is a nascent frontend library meticulously engineered for optimal interoperability with AI code generation tools. Its primary objective is to mitigate common AI-induced issues like hallucination and inconsistent output by enforcing a highly constrained and predictable API surface. Unlike traditional frameworks that often offer multiple ways to achieve a single task, Stellify adheres to a \"one obvious way\" philosophy, coupled with a strict \"Rule of Seven\" for API method counts per module. The framework differentiates itself with Laravel-style chainable patterns, a core that remains agnostic to frontend frameworks, and dedicated adapters for React and Vue. This design ethos aims to foster more reliable and consistent code generation from AI agents. While specific release cadence details are not yet public, its low version number indicates active, early-stage development, suggesting potential for rapid evolution and breaking changes as it matures.","language":"javascript","status":"active","last_verified":"Sun Apr 19","install":{"commands":["npm install stellify-framework"],"cli":null},"imports":["import { Form } from 'stellify-framework'","import { Stream } from 'stellify-framework'","import { useForm } from 'stellify-framework/adapters/react'","import { useForm } from 'stellify-framework/adapters/vue'"],"auth":{"required":false,"env_vars":[]},"links":{"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":null,"npm":"https://www.npmjs.com/package/stellify-framework","openapi_spec":null,"status_page":null,"smithery":null},"quickstart":{"code":"import { Form, Stream, Chat, Speech } from 'stellify-framework';\n\n// Mock function for UI interaction\nfunction appendToUI(text) {\n  const streamOutput = document.getElementById('stream-output');\n  if (streamOutput) {\n    streamOutput.textContent += text;\n  } else {\n    console.log('Stream chunk:', text);\n  }\n}\n\n// Mock chat state\nconst chat = {\n  messages: [],\n  addUser(text) {\n    this.messages.push({ role: 'user', content: text });\n    console.log('User added message:', text);\n  },\n  addAssistant(text) {\n    this.messages.push({ role: 'assistant', content: text });\n    console.log('Assistant added message:', text);\n  },\n  getMessages() { return this.messages; },\n  fork() { console.log('Chat forked for regeneration.'); }\n};\n\n// Form with validation\nconst userForm = Form.create({ name: '', email: '' })\n  .validate({ email: v => v?.includes('@') ? null : 'Invalid' })\n  .onSuccess(data => console.log('Form submission successful:', data))\n  .onError(errors => console.error('Form validation errors:', errors))\n  .store('/api/users'); // This would typically trigger a fetch\n\nconsole.log('Initial form data:', userForm.getData());\nuserForm.setData({ name: 'Jane Doe', email: 'jane@example.com' });\nuserForm.store('/api/users'); // Re-run store with new data\n\n// LLM streaming\nconst dataStream = Stream.create('/api/chat')\n  .onChunk(text => appendToUI(text))\n  .onComplete(() => console.log('Streaming complete.'))\n  .post({ messages: chat.getMessages() }); // Post initial chat messages\n\n// Voice input\nconst speechInput = Speech.create()\n  .onResult(text => chat.addUser(text))\n  .onError(error => console.error('Speech recognition error:', error))\n  .listen({ continuous: true }); // Start listening continuously\n\n// Conversation management\nchat.addUser('What is 2+2?');\nchat.addAssistant('4');\nchat.fork(); // Branch for regeneration","lang":"javascript","description":"Demonstrates core Stellify modules including form creation with validation, real-time LLM streaming to a UI element, voice input processing, and basic chat conversation management.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}