{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-edjbarronnetapp-chat-component","slug":"npm-edjbarronnetapp-chat-component","name":"@edjbarron/netapp-chat-component","type":"repo","url":"https://www.npmjs.com/package/@edjbarron/netapp-chat-component","page_url":"https://unfragile.ai/npm-edjbarronnetapp-chat-component","categories":["chatbots-assistants"],"tags":["react","chat","chatbot","llm","mcp","agent","mantine","netapp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-edjbarronnetapp-chat-component__cap_0","uri":"capability://tool.use.integration.mcp.aware.message.routing.and.tool.invocation.ui","name":"mcp-aware message routing and tool invocation ui","description":"Renders a chat interface that routes user messages to a backend agentic service (netapp-chat-service) which handles LLM inference and MCP (Model Context Protocol) tool orchestration. The component abstracts away tool schema negotiation and execution by delegating to the backend service, displaying tool calls and results inline within the conversation thread. Uses React hooks to manage message state and WebSocket or HTTP streaming for real-time response delivery.","intents":["I want to build a chat UI that automatically routes user queries to an LLM with access to external tools via MCP","I need to display tool invocations and their results in a conversational context without manually wiring tool schemas","I want to integrate a pre-built chat component that works with netapp-chat-service without reimplementing agent logic"],"best_for":["React developers building agentic chat applications on top of netapp-chat-service","teams prototyping LLM+MCP integrations with minimal frontend boilerplate","developers who want opinionated chat UI patterns that match netapp-chat-service's backend capabilities"],"limitations":["Tightly coupled to netapp-chat-service backend — cannot be used standalone without a compatible backend service","No built-in fallback or error recovery for tool execution failures — relies on backend error handling","Limited customization of tool invocation display format — assumes backend returns structured tool call metadata","No local tool execution — all tool routing happens server-side, adding latency for tool-heavy workflows"],"requires":["React 16.8+ (hooks support)","Running instance of netapp-chat-service backend","Network connectivity to netapp-chat-service endpoint","Node.js 14+ for build tooling"],"input_types":["text (user messages)","structured tool call metadata from backend"],"output_types":["rendered React components (chat messages, tool invocations, results)","HTTP/WebSocket requests to netapp-chat-service"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-edjbarronnetapp-chat-component__cap_1","uri":"capability://text.generation.language.streaming.message.rendering.with.incremental.token.display","name":"streaming message rendering with incremental token display","description":"Consumes streaming responses from netapp-chat-service (likely via Server-Sent Events or WebSocket) and renders LLM output token-by-token as it arrives, providing real-time feedback to users. Uses React state updates to append tokens to the current message, avoiding full re-renders of the entire conversation. Handles stream termination, error states, and partial message buffering to ensure smooth visual output.","intents":["I want users to see LLM responses appear in real-time rather than waiting for the full response","I need to display streaming tokens without blocking the UI or causing jank","I want to show loading states and handle mid-stream interruptions gracefully"],"best_for":["applications prioritizing perceived responsiveness and user engagement","chat interfaces where token-by-token visibility improves user trust in LLM reasoning","teams using netapp-chat-service with streaming-capable backends"],"limitations":["Streaming implementation details are abstracted — no direct control over chunk size or buffering strategy","No built-in support for partial message editing or rollback if stream is interrupted mid-response","Performance depends on backend streaming implementation — frontend cannot optimize slow streams","Mobile browsers may have inconsistent WebSocket/SSE support, affecting streaming reliability"],"requires":["netapp-chat-service backend with streaming response support","Browser with WebSocket or Server-Sent Events support","React 16.8+ for hooks-based state management"],"input_types":["streaming text chunks from backend (tokens or partial messages)"],"output_types":["rendered React components with incrementally updated text content"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-edjbarronnetapp-chat-component__cap_2","uri":"capability://text.generation.language.mantine.based.ui.component.library.integration","name":"mantine-based ui component library integration","description":"Leverages Mantine design system components (buttons, inputs, modals, cards, etc.) to provide a consistent, accessible, and themeable chat UI. Uses Mantine's hooks (useForm, useDisclosure, etc.) for state management and Mantine's CSS-in-JS theming system to enable light/dark mode and custom branding. Components are pre-styled and follow Mantine's accessibility guidelines (ARIA labels, keyboard navigation, focus management).","intents":["I want a chat UI that matches my Mantine design system without building custom components from scratch","I need accessible, keyboard-navigable chat controls that follow WAI-ARIA standards","I want to apply custom Mantine themes (colors, spacing, typography) to the chat component"],"best_for":["React applications already using Mantine as their design system","teams prioritizing accessibility and consistent design language","developers who want minimal CSS customization overhead"],"limitations":["Requires Mantine as a peer dependency — adds ~50KB gzipped to bundle if not already in use","Limited customization beyond Mantine's theming system — deep component restructuring requires forking","Mantine version compatibility constraints — may require specific Mantine versions to avoid breaking changes","No support for non-Mantine design systems (Material-UI, Chakra, Tailwind) without significant refactoring"],"requires":["React 16.8+","Mantine 6.0+ (or specific version compatible with this component)","@mantine/hooks package","@mantine/core package"],"input_types":["Mantine theme configuration object"],"output_types":["rendered Mantine components (styled chat UI)"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-edjbarronnetapp-chat-component__cap_3","uri":"capability://memory.knowledge.conversation.history.management.and.persistence.hooks","name":"conversation history management and persistence hooks","description":"Provides React hooks (likely useConversation or similar) to manage chat message history, including adding messages, clearing history, and potentially persisting to localStorage or a backend database. Handles message deduplication, ordering, and metadata (timestamps, sender, tool calls). State is managed via React Context or a custom hook, allowing components to subscribe to conversation updates without prop drilling.","intents":["I want to maintain a persistent conversation history across page reloads","I need to clear or reset the conversation without losing the component state","I want to track message metadata (timestamps, sender role) for audit or replay purposes"],"best_for":["applications requiring conversation persistence across sessions","chat interfaces where users expect to resume previous conversations","teams building multi-turn agentic workflows with state tracking"],"limitations":["No built-in backend persistence — localStorage-based history is limited to single browser/device","No automatic sync between multiple browser tabs or devices — requires external state management","Message deduplication logic may not handle concurrent message submissions gracefully","No built-in encryption for sensitive conversation data stored in localStorage"],"requires":["React 16.8+ (hooks support)","Browser localStorage API (if using client-side persistence)","optional: backend API for server-side conversation storage"],"input_types":["message objects (text, role, metadata)","conversation IDs or session tokens"],"output_types":["conversation history array","hook functions (addMessage, clearHistory, etc.)"],"categories":["memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-edjbarronnetapp-chat-component__cap_4","uri":"capability://text.generation.language.message.input.with.auto.complete.and.suggestion.rendering","name":"message input with auto-complete and suggestion rendering","description":"Renders a text input field with optional auto-complete or suggestion features, likely powered by Mantine's Autocomplete component. Suggestions may be derived from previous messages, common queries, or tool names available via MCP. Handles input validation, character limits, and submission via Enter key or button click. Integrates with netapp-chat-service to send user messages and receive suggestions.","intents":["I want users to see suggestions for common queries or available tools as they type","I need to prevent empty message submissions and enforce input constraints","I want to support keyboard shortcuts (Enter to send, Shift+Enter for newline) for faster interaction"],"best_for":["chat applications where suggestion visibility improves discoverability of available tools","interfaces targeting power users who benefit from keyboard shortcuts","applications with a limited set of common queries or tool names"],"limitations":["Suggestion generation logic is backend-dependent — frontend has no control over suggestion ranking or filtering","No built-in debouncing for suggestion requests — may cause excessive backend calls on rapid typing","Limited customization of suggestion display format — assumes simple text suggestions","No support for rich suggestion content (descriptions, icons, tool metadata) without backend changes"],"requires":["React 16.8+","Mantine 6.0+ (for Autocomplete component)","netapp-chat-service backend with suggestion endpoint (if suggestions are backend-driven)"],"input_types":["user text input","suggestion metadata from backend"],"output_types":["rendered input field with suggestions dropdown","submitted message to netapp-chat-service"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-edjbarronnetapp-chat-component__cap_5","uri":"capability://data.processing.analysis.tool.invocation.result.display.and.formatting","name":"tool invocation result display and formatting","description":"Renders structured tool execution results returned by netapp-chat-service within the chat message thread. Handles different result types (JSON, tables, images, plain text) and formats them appropriately using Mantine components. May include collapsible sections for verbose results, syntax highlighting for code, and error state rendering for failed tool calls. Integrates with the message stream to display tool calls and their results in sequence.","intents":["I want to display tool execution results (API responses, database queries, etc.) in a readable format within the chat","I need to show tool call metadata (tool name, parameters) alongside results for transparency","I want to handle tool execution errors gracefully and display error messages to users"],"best_for":["agentic chat applications where tool results are critical to the conversation flow","interfaces displaying structured data (JSON, tables) from tool execution","teams building transparent AI agents where users need to understand tool invocations"],"limitations":["Result formatting is limited to predefined types — custom result formats require component extension","No built-in syntax highlighting — requires additional dependencies (e.g., react-syntax-highlighter) for code display","Large result sets may cause performance issues — no built-in pagination or virtualization for verbose results","No interactive result manipulation — results are read-only, cannot be edited or re-executed from the UI"],"requires":["React 16.8+","Mantine 6.0+","netapp-chat-service backend returning structured tool results","optional: syntax highlighting library for code display"],"input_types":["structured tool result objects (JSON, metadata)","error objects from failed tool calls"],"output_types":["rendered Mantine components (cards, tables, code blocks, error alerts)"],"categories":["data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-edjbarronnetapp-chat-component__cap_6","uri":"capability://text.generation.language.user.and.assistant.message.differentiation.with.role.based.styling","name":"user and assistant message differentiation with role-based styling","description":"Distinguishes between user messages and assistant (LLM) messages through visual styling, including different background colors, alignment (left vs. right), and avatar/icon display. Uses Mantine's theming system to apply role-based styles consistently. Handles edge cases like system messages, tool invocations, and multi-turn reasoning steps. Styling is customizable via Mantine theme overrides.","intents":["I want users to quickly distinguish between their messages and the assistant's responses","I need to visually separate system messages or tool invocations from regular conversation","I want to customize message styling to match my brand or design system"],"best_for":["any chat application where message source clarity improves usability","interfaces with multiple message types (user, assistant, system, tool calls)","teams using Mantine who want consistent styling without custom CSS"],"limitations":["Role-based styling is limited to predefined roles — custom message types require component extension","No support for custom avatars or user metadata display — assumes simple role-based differentiation","Styling is Mantine-dependent — cannot be easily ported to other design systems","No built-in support for message grouping or threading — each message is rendered independently"],"requires":["React 16.8+","Mantine 6.0+","message objects with role metadata (user, assistant, system, etc.)"],"input_types":["message objects with role property"],"output_types":["styled React components (message bubbles with role-specific styling)"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-edjbarronnetapp-chat-component__cap_7","uri":"capability://safety.moderation.error.handling.and.fallback.ui.for.backend.failures","name":"error handling and fallback ui for backend failures","description":"Catches and displays errors from netapp-chat-service (network failures, backend errors, timeout errors) with user-friendly error messages and optional retry mechanisms. Uses Mantine Alert or Notification components to display errors. Implements exponential backoff for retries and graceful degradation when the backend is unavailable. May include error logging for debugging.","intents":["I want users to see clear error messages when the backend is unavailable or returns an error","I need to automatically retry failed requests without user intervention","I want to log errors for debugging and monitoring purposes"],"best_for":["production chat applications requiring reliability and user trust","teams building resilient agentic systems with network error handling","applications where backend failures are expected and should be handled gracefully"],"limitations":["Error handling is limited to predefined error types — custom error scenarios require component extension","Retry logic uses simple exponential backoff — no support for circuit breakers or advanced resilience patterns","No built-in error analytics or monitoring — requires external logging service for production insights","Retry UI may confuse users if not clearly communicated — no built-in guidance on expected recovery time"],"requires":["React 16.8+","Mantine 6.0+ (for Alert/Notification components)","netapp-chat-service backend with error response handling"],"input_types":["error objects from failed API calls","HTTP status codes and error messages"],"output_types":["rendered error alerts/notifications","retry requests to backend"],"categories":["safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-edjbarronnetapp-chat-component__cap_8","uri":"capability://text.generation.language.responsive.layout.and.mobile.optimized.chat.interface","name":"responsive layout and mobile-optimized chat interface","description":"Implements a responsive chat UI using Mantine's Grid and responsive utilities, adapting to mobile, tablet, and desktop viewports. Handles mobile-specific interactions (touch-friendly buttons, mobile keyboard management, viewport height constraints). Uses CSS media queries and Mantine's responsive props to adjust layout, font sizes, and spacing for smaller screens. Optimizes for mobile browsers' virtual keyboard behavior.","intents":["I want the chat interface to work seamlessly on mobile devices without horizontal scrolling","I need touch-friendly buttons and inputs that don't require precise clicking","I want the chat to adapt to mobile keyboard appearance without content being hidden"],"best_for":["chat applications targeting mobile users (iOS, Android)","teams building responsive web applications with Mantine","applications where mobile usage is significant (>30% of traffic)"],"limitations":["Mobile optimization is limited to layout and touch targets — no native app features (push notifications, offline sync)","Virtual keyboard behavior varies across browsers and OS versions — may require platform-specific workarounds","Streaming performance on mobile networks may be degraded — no built-in optimization for slow connections","No support for mobile-specific features like voice input or haptic feedback"],"requires":["React 16.8+","Mantine 6.0+ (with responsive utilities)","modern mobile browser (iOS Safari 12+, Chrome Android 80+)"],"input_types":["viewport dimensions","touch events"],"output_types":["responsive React components (adapted layout for mobile)"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-edjbarronnetapp-chat-component__cap_9","uri":"capability://memory.knowledge.context.window.and.token.limit.awareness","name":"context window and token limit awareness","description":"Tracks conversation length and token usage to prevent exceeding LLM context windows. May display warnings when approaching token limits and offer options to summarize or clear older messages. Integrates with netapp-chat-service to receive token usage metadata. Implements heuristics for token estimation (character count, word count) or uses backend-provided token counts. Handles context overflow gracefully by suggesting conversation reset or summarization.","intents":["I want to warn users when the conversation is approaching the LLM's context limit","I need to automatically manage conversation history to stay within token budgets","I want to display token usage metrics for transparency and cost tracking"],"best_for":["applications with long-running conversations where context limits are a concern","teams tracking LLM API costs and wanting to optimize token usage","agentic systems where context management is critical for performance"],"limitations":["Token estimation is approximate — actual token counts depend on the LLM's tokenizer, which may differ from heuristics","No automatic context summarization — requires backend support or external summarization service","Token limit warnings may be confusing to non-technical users — requires clear communication","No support for dynamic context windows — assumes fixed token limits per LLM"],"requires":["React 16.8+","netapp-chat-service backend providing token usage metadata","optional: token counting library (e.g., js-tiktoken) for client-side estimation"],"input_types":["message objects","token usage metadata from backend","LLM context window size configuration"],"output_types":["token usage display (UI component)","warning alerts when approaching limits","conversation management suggestions (clear, summarize)"],"categories":["memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"high","permissions":["React 16.8+ (hooks support)","Running instance of netapp-chat-service backend","Network connectivity to netapp-chat-service endpoint","Node.js 14+ for build tooling","netapp-chat-service backend with streaming response support","Browser with WebSocket or Server-Sent Events support","React 16.8+ for hooks-based state management","React 16.8+","Mantine 6.0+ (or specific version compatible with this component)","@mantine/hooks package"],"failure_modes":["Tightly coupled to netapp-chat-service backend — cannot be used standalone without a compatible backend service","No built-in fallback or error recovery for tool execution failures — relies on backend error handling","Limited customization of tool invocation display format — assumes backend returns structured tool call metadata","No local tool execution — all tool routing happens server-side, adding latency for tool-heavy workflows","Streaming implementation details are abstracted — no direct control over chunk size or buffering strategy","No built-in support for partial message editing or rollback if stream is interrupted mid-response","Performance depends on backend streaming implementation — frontend cannot optimize slow streams","Mobile browsers may have inconsistent WebSocket/SSE support, affecting streaming reliability","Requires Mantine as a peer dependency — adds ~50KB gzipped to bundle if not already in use","Limited customization beyond Mantine's theming system — deep component restructuring requires forking","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.3,"ecosystem":0.5000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-05-03T14:24:00.158Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-edjbarronnetapp-chat-component","compare_url":"https://unfragile.ai/compare?artifact=npm-edjbarronnetapp-chat-component"}},"signature":"aBONts85/9uUguw5lJ6LEmr79zr1N2A8fwXlltG4zZRmTYWfmoeSYk3ogaa1nnrHox+m7SttepJRlmUbq3GsCA==","signedAt":"2026-06-20T17:38:05.835Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-edjbarronnetapp-chat-component","artifact":"https://unfragile.ai/npm-edjbarronnetapp-chat-component","verify":"https://unfragile.ai/api/v1/verify?slug=npm-edjbarronnetapp-chat-component","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}