{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"openai-assistants-template","slug":"openai-assistants-template","name":"OpenAI Assistants Template","type":"template","url":"https://github.com/openai/openai-assistants-quickstart","page_url":"https://unfragile.ai/openai-assistants-template","categories":["app-builders"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"openai-assistants-template__cap_0","uri":"capability://text.generation.language.streaming.assistant.response.handling","name":"streaming-assistant-response-handling","description":"Implements real-time streaming of OpenAI Assistant responses to the frontend using Next.js API routes as middleware. The Chat component (app/components/chat.tsx) manages streaming state, processes incoming message chunks, and renders content progressively as it arrives from the OpenAI Assistants API. Uses React state management to accumulate streamed tokens and update the UI incrementally without blocking user interaction.","intents":["I want to show users assistant responses in real-time as they're being generated, not wait for the full response","I need to handle streaming responses from OpenAI's Assistants API in a Next.js application","I want to render different content types (text, code, images) as they stream in from the assistant"],"best_for":["developers building conversational AI applications with Next.js","teams needing low-latency response feedback in chat interfaces","builders implementing multi-turn assistant conversations"],"limitations":["Streaming adds complexity to error handling — partial messages may be rendered before failure detection","No built-in retry logic for interrupted streams — requires manual reconnection handling","Frontend state management required for tracking streaming progress across multiple concurrent requests"],"requires":["Next.js 14.1.4+","OpenAI Node.js SDK v4.46.0+","React 18+ for state management","Valid OpenAI API key with Assistants API access"],"input_types":["text messages","file references for file search","function call parameters"],"output_types":["streamed text tokens","code blocks with syntax highlighting","image URLs from assistant responses","structured function call objects"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openai-assistants-template__cap_1","uri":"capability://tool.use.integration.multi.tool.assistant.orchestration","name":"multi-tool-assistant-orchestration","description":"Coordinates three distinct OpenAI assistant tools (code interpreter, file search, and function calling) within a single assistant configuration. The /api/assistants POST endpoint creates an assistant with all tools enabled, and the Chat component processes tool-use responses by detecting tool calls, executing them, and submitting results back via the /api/assistants/threads/[threadId]/actions endpoint. Implements a request-response loop where the assistant can invoke tools, receive results, and continue reasoning.","intents":["I want to build an assistant that can run Python code, search uploaded files, and call custom functions in a single conversation","I need to handle tool-use responses from the assistant and route them to the correct execution handler","I want to create a unified assistant that combines code execution, semantic search, and function calling without managing separate agents"],"best_for":["developers building multi-capability AI assistants","teams needing code execution + file search + custom logic in one interface","builders prototyping complex reasoning workflows with tool composition"],"limitations":["Tool execution happens sequentially — no parallel tool invocation within a single assistant step","Code interpreter has execution timeout limits (default ~30 seconds per execution)","File search requires pre-uploaded files — no real-time external data source integration","Function calling requires client-side implementation — no built-in persistence of function results across sessions"],"requires":["OpenAI API key with Assistants API access","Next.js 14.1.4+ for API route handlers","OpenAI Node.js SDK v4.46.0+","Implementation of custom function handlers on the client side"],"input_types":["text prompts","uploaded files (PDF, DOCX, TXT, JSON, CSV, etc.)","function definitions with JSON schema"],"output_types":["text responses","code execution results","file search results with citations","function call results"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openai-assistants-template__cap_10","uri":"capability://memory.knowledge.file.viewer.component.with.upload.management","name":"file-viewer-component-with-upload-management","description":"Provides a File Viewer component (app/components/file-viewer.tsx) that manages the complete file lifecycle for file search: displaying a file upload interface, listing currently uploaded files with metadata, and enabling file deletion. The component calls the /api/assistants/files endpoint to perform CRUD operations on files associated with the assistant. It integrates with the file search capability, allowing users to upload documents that the assistant can then search semantically in response to queries.","intents":["I want users to upload files for the assistant to search without managing file storage myself","I need to display a list of uploaded files and allow deletion of files","I want to integrate file management into the chat interface"],"best_for":["developers building document Q&A applications","teams implementing knowledge base interfaces with file management","builders creating research tools that work with user-provided documents"],"limitations":["File upload UI is minimal — no progress indicators, drag-and-drop, or file preview","No file size validation on the client side — oversized files fail silently at the API","File deletion is immediate — no confirmation dialog or undo functionality","No support for file organization (folders, tags) — all files are flat in the assistant's file list"],"requires":["React 18+","Next.js 14.1.4+","API endpoint /api/assistants/files for file operations","Assistant ID passed as prop"],"input_types":["file uploads (multipart/form-data)","file IDs for deletion"],"output_types":["file metadata (ID, name, size, created_at)","upload status","deletion confirmation"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openai-assistants-template__cap_2","uri":"capability://memory.knowledge.conversation.thread.management","name":"conversation-thread-management","description":"Manages OpenAI conversation threads as persistent containers for multi-turn conversations. The /api/assistants/threads POST endpoint creates new threads, and subsequent messages are sent to specific thread IDs via /api/assistants/threads/[threadId]/messages. The Chat component maintains thread state and handles the full conversation lifecycle: thread creation, message appending, streaming responses, and function call handling within the same thread context. Thread IDs are preserved across page reloads, enabling conversation persistence.","intents":["I want to maintain conversation history across multiple user messages without managing my own database","I need to create isolated conversation contexts so different users or sessions don't interfere with each other","I want to implement multi-turn conversations where the assistant has access to the full conversation history"],"best_for":["developers building stateless chat applications that need conversation persistence","teams using OpenAI's managed conversation storage instead of building their own","builders prototyping multi-turn assistant applications quickly"],"limitations":["Thread storage is managed by OpenAI — no direct access to raw conversation data for analytics or export","No built-in thread archival or deletion — threads persist indefinitely unless manually deleted via API","Thread context window is limited by the assistant's model — older messages may be dropped if conversation exceeds token limits","No built-in support for branching conversations or conversation trees"],"requires":["OpenAI API key with Assistants API access","Next.js 14.1.4+ for API route implementation","OpenAI Node.js SDK v4.46.0+","Client-side state management to track current thread ID"],"input_types":["text messages","file references","function call results"],"output_types":["thread ID (string)","message objects with role, content, and metadata","conversation history"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openai-assistants-template__cap_3","uri":"capability://tool.use.integration.function.calling.with.client.side.execution","name":"function-calling-with-client-side-execution","description":"Implements a request-response loop for function calling where the assistant generates function call requests with parameters, the Chat component detects these calls, executes them client-side, and submits results back to the assistant via /api/assistants/threads/[threadId]/actions. Functions are defined with JSON schemas that the assistant understands, and the component processes tool_calls from assistant messages, maps them to local function implementations, and handles both successful execution and error cases.","intents":["I want the assistant to call custom functions I define, not just built-in tools","I need to execute functions on the client side and return results to the assistant for further reasoning","I want to define function schemas that the assistant can understand and invoke dynamically"],"best_for":["developers building assistants that need to interact with client-side APIs or data","teams implementing custom business logic that the assistant should invoke","builders creating assistants that need real-time access to user's local data or services"],"limitations":["Function execution is synchronous — no built-in support for long-running async operations without blocking the UI","No automatic function schema validation — schemas must match OpenAI's function calling format exactly","Error handling is manual — function execution errors must be caught and formatted before submission back to assistant","No built-in function result caching — repeated function calls with same parameters execute again"],"requires":["OpenAI API key with Assistants API access","Function definitions with JSON schema format compatible with OpenAI function calling","Client-side implementation of function handlers","Next.js 14.1.4+ and React 18+ for state management"],"input_types":["function definitions (JSON schema)","function call requests from assistant","function parameters (typed according to schema)"],"output_types":["function execution results","error messages","structured function call responses"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openai-assistants-template__cap_4","uri":"capability://search.retrieval.file.upload.and.semantic.search","name":"file-upload-and-semantic-search","description":"Enables file upload management and semantic search over uploaded documents using OpenAI's file search tool. The /api/assistants/files endpoint handles GET (list files), POST (upload new files), and DELETE (remove files) operations. Uploaded files are associated with the assistant and indexed for semantic search. The File Viewer component (app/components/file-viewer.tsx) provides UI for file management, and the assistant can search across uploaded files in response to user queries, returning results with file citations.","intents":["I want users to upload documents and have the assistant search across them semantically","I need to manage the lifecycle of uploaded files (upload, list, delete) for an assistant","I want the assistant to cite which files it found information from when answering questions"],"best_for":["developers building document Q&A applications","teams implementing knowledge base search with AI assistants","builders creating research or analysis tools that work with user-provided documents"],"limitations":["File search is limited to files uploaded to the specific assistant — no cross-assistant file sharing","Supported file types are limited (PDF, DOCX, TXT, JSON, CSV) — no image or binary file search","File indexing happens asynchronously — newly uploaded files may not be immediately searchable","No fine-grained access control — all files uploaded to an assistant are searchable by all users of that assistant","File storage is managed by OpenAI — no direct access to indexed content or search internals"],"requires":["OpenAI API key with Assistants API access","Next.js 14.1.4+ for file upload API routes","OpenAI Node.js SDK v4.46.0+","Supported file formats (PDF, DOCX, TXT, JSON, CSV)"],"input_types":["file uploads (multipart/form-data)","file IDs for deletion","text queries for semantic search"],"output_types":["file metadata (ID, name, size, created_at)","search results with citations","file content (via /api/files/[fileId] GET endpoint)"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openai-assistants-template__cap_5","uri":"capability://tool.use.integration.assistant.configuration.and.creation","name":"assistant-configuration-and-creation","description":"Provides a factory pattern for creating and configuring OpenAI assistants with specific tools, models, and system instructions. The /api/assistants POST endpoint creates an assistant with code interpreter and file search tools enabled, configurable system instructions, and a specified model (defaults to gpt-4-turbo). The openai.ts module initializes the OpenAI client, and the assistant configuration is reused across all example pages, demonstrating a single-assistant-multiple-examples pattern.","intents":["I want to create an assistant with specific tools and system instructions programmatically","I need to configure an assistant once and reuse it across multiple conversation threads","I want to customize the assistant's behavior through system instructions and tool selection"],"best_for":["developers building assistant-based applications with consistent configuration","teams needing to manage assistant creation as part of application initialization","builders prototyping different assistant configurations"],"limitations":["Assistant creation is synchronous — no built-in caching means repeated calls create duplicate assistants","No version control for assistant configurations — changes require manual API updates","System instructions are static — no dynamic instruction modification based on user context","Tool configuration is fixed at creation time — cannot enable/disable tools per conversation"],"requires":["OpenAI API key with Assistants API access","OpenAI Node.js SDK v4.46.0+","Next.js 14.1.4+ for API route implementation","Model access (gpt-4-turbo or equivalent)"],"input_types":["system instructions (string)","tool configuration (code_interpreter, file_search)","model name (string)"],"output_types":["assistant object with ID, name, model, tools, and metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openai-assistants-template__cap_6","uri":"capability://text.generation.language.message.streaming.and.rendering","name":"message-streaming-and-rendering","description":"Handles progressive rendering of different message content types (text, code blocks, images, citations) as they stream in from the assistant. The Chat component uses React state to accumulate streamed content and renders it with appropriate formatting: text via React Markdown (v9.0.1), code blocks with syntax highlighting, images as embedded URLs, and file citations with links. The message rendering logic detects content type and applies the correct renderer, supporting mixed content within a single message.","intents":["I want to render assistant responses with proper formatting for code, images, and markdown","I need to display file citations and links within assistant responses","I want to show code blocks with syntax highlighting and proper formatting"],"best_for":["developers building chat interfaces with rich content rendering","teams needing to display code and markdown in assistant responses","builders creating documentation or code-focused assistant applications"],"limitations":["React Markdown rendering adds ~50-100ms latency per message — noticeable on slower devices","No built-in support for custom renderers — extending content types requires modifying the Chat component","Code block syntax highlighting is limited to languages supported by the markdown library","Image rendering depends on URL accessibility — broken image URLs fail silently"],"requires":["React 18+","React Markdown 9.0.1+","Next.js 14.1.4+ for component rendering"],"input_types":["streamed text content","markdown-formatted text","code blocks with language specification","image URLs","file citations"],"output_types":["rendered HTML","formatted code blocks","embedded images","clickable citations"],"categories":["text-generation-language","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openai-assistants-template__cap_7","uri":"capability://tool.use.integration.next.js.api.route.middleware.pattern","name":"next-js-api-route-middleware-pattern","description":"Implements a middleware layer using Next.js API routes that abstracts OpenAI Assistants API complexity from the frontend. Each API route (/api/assistants/*, /api/files/*) handles a specific operation: assistant creation, thread management, message sending, function call submission, and file operations. Routes use the OpenAI Node.js SDK to communicate with OpenAI's API and return structured responses to the frontend, enabling the Chat component to work with high-level abstractions rather than raw API calls.","intents":["I want to hide OpenAI API complexity behind simple REST endpoints","I need to manage API keys server-side and prevent exposure to the frontend","I want to add authentication, logging, or rate limiting to assistant operations"],"best_for":["developers building Next.js applications with OpenAI integrations","teams needing server-side API key management","builders adding middleware logic (auth, logging, rate limiting) to assistant operations"],"limitations":["API routes add ~50-200ms latency per request due to server round-trip","No built-in caching — repeated identical requests hit OpenAI API each time","Error handling must be implemented per route — no centralized error handling","Streaming responses require special handling in Next.js (Response objects) — not all operations support streaming"],"requires":["Next.js 14.1.4+","OpenAI Node.js SDK v4.46.0+","API key stored in environment variables (OPENAI_API_KEY)"],"input_types":["HTTP requests (POST, GET, DELETE)","JSON request bodies","URL parameters (threadId, fileId, etc.)"],"output_types":["JSON responses","streamed responses (for message endpoints)","HTTP status codes and error messages"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openai-assistants-template__cap_8","uri":"capability://automation.workflow.example.page.based.feature.demonstration","name":"example-page-based-feature-demonstration","description":"Provides isolated example pages (/examples/basic-chat, /examples/function-calling, /examples/file-search, /examples/all) that demonstrate each assistant capability independently while sharing the same underlying assistant configuration. Each example page is a self-contained Next.js page that imports the Chat component and shows how to use a specific feature. This pattern enables developers to understand each capability in isolation before combining them, and serves as reference implementations for common use cases.","intents":["I want to see working examples of each assistant capability before building my own application","I need reference implementations for basic chat, function calling, and file search","I want to understand how to combine multiple capabilities in a single application"],"best_for":["developers learning the Assistants API for the first time","teams using this template as a starting point for their own applications","builders needing reference implementations for specific use cases"],"limitations":["Examples are simplified — production applications need additional error handling, validation, and edge case management","Examples don't demonstrate advanced patterns like conversation branching, multi-user isolation, or persistence","All examples use the same assistant configuration — no demonstration of different assistant types or specialized configurations"],"requires":["Next.js 14.1.4+","OpenAI API key with Assistants API access","Understanding of React and Next.js basics"],"input_types":["user text input","file uploads (in file-search example)","function parameters (in function-calling example)"],"output_types":["assistant responses","code execution results","search results","function call results"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openai-assistants-template__cap_9","uri":"capability://text.generation.language.react.component.based.chat.interface","name":"react-component-based-chat-interface","description":"Implements a reusable Chat component (app/components/chat.tsx) that encapsulates all conversation logic: message state management, streaming response handling, function call processing, and UI rendering. The component accepts configuration props (assistant ID, thread ID) and manages the full conversation lifecycle internally. It renders messages with appropriate formatting, displays loading states during streaming, handles user input, and processes assistant tool calls. The component is imported by all example pages, demonstrating composition and reusability.","intents":["I want a reusable chat component I can drop into different pages or applications","I need to manage conversation state (messages, streaming, function calls) in a single component","I want to customize the chat interface without modifying core conversation logic"],"best_for":["developers building multiple chat interfaces with consistent behavior","teams needing a composable chat component for different use cases","builders creating assistant-based applications with Next.js and React"],"limitations":["Component is tightly coupled to OpenAI Assistants API — not easily adaptable to other LLM providers","State management is local to the component — no built-in support for global state or persistence","Styling is minimal — requires customization for production UIs","No built-in accessibility features — requires additional ARIA labels and keyboard navigation"],"requires":["React 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