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Unlike Swagger UI, which documents endpoints individually, SwaggerFlow should automatically understand relationships between endpoints, schemas, authentication, entities, and business logic, then visualize everything as an interactive graph. The application should help developers answer questions like: - What is this API trying to do? - How does authentication work? - Which endpoints depend on each other? - Which schemas are reused? - What are the core business entities? - How does data flow through the system? - Which endpoints require authentication? - Which database entities are implied? - What is the overall architecture? --- # Design Philosophy The application should feel like a combination of: - Figma - Excalidraw - Linear - Vercel - GitHub Projects - AWS Architecture Designer It must look like a premium developer tool rather than a documentation website. No cartoon styling. Everything should feel clean, elegant, minimal and professional. --- # Theme Dark mode by default. Background - #0B0F17 - subtle blueprint grid - faint radial gradient - premium shadows Cards should use different colors depending on node type. Authentication - Deep Purple Endpoints - Blue Schemas - Emerald Database - Orange Queues - Pink Redis / Cache - Cyan External APIs - Yellow Errors - Red Groups - Slate Each card should contain: - rounded corners - subtle shadow - hover glow - icon - badges - expandable content - connection ports --- # Homepage Large hero section. ## Upload Methods - Drag & Drop Swagger File - Upload swagger.json - Upload swagger.yaml - Upload openapi.json - Upload openapi.yaml - Import from URL - Import from GitHub - Paste JSON - Paste YAML - Open Recent Project --- # Automatic Parsing After upload, automatically analyze: - Paths - Components - Schemas - Parameters - Responses - Request Bodies - Security - Servers - Tags - Examples - Reusable Components No manual configuration required. --- # AI Analysis Generate an intelligent architecture summary. Examples - What is this backend trying to accomplish? - What business does this API represent? - What are the primary entities? - Which endpoints depend on authentication? - What are the major workflows? - Which schemas are reused? - Which components are tightly coupled? - Which endpoints appear redundant? - Which database tables are implied? - Which services probably exist behind the scenes? --- # Infinite Canvas Interactive architecture canvas. Features - Infinite pan - Zoom - Minimap - Drag nodes - Resize nodes - Group nodes - Multi-select - Undo - Redo - Snap to Grid - Hide Grid - Lock Nodes - Fullscreen - Search - Auto Arrange - Manual Arrange --- # Layout Modes Support multiple automatic layouts. - Layered - Circular - Grid - Tree - Force Directed - Dependency Graph - Swimlane - Domain Driven - Microservice View - Pipeline Switch instantly. --- # Endpoint Nodes Every endpoint becomes a visual node. Display: - HTTP Method - Route - Summary - Description - Authentication - Request Schema - Response Schema - Tags - Dependencies - Connected Nodes --- # Schema Nodes Every schema becomes a node. Display - Properties - Required Fields - Enums - Nullable Fields - Referenced Models - Used By - Examples Automatically detect: - allOf - oneOf - anyOf --- # Relationship Detection Automatically detect relationships using: - Request Bodies - Response Bodies - Shared IDs - Referenced Schemas - Authentication - Parameters - Tags - Component References Example POST /login ↓ Returns JWT ↓ JWT required by ↓ GET /users ↓ User contains OrganizationId ↓ Organization contains Projects ↓ Projects contain Tasks ↓ Tasks contain Comments Draw arrows automatically. --- # Flow Explorer Generate visual flows. Authentication Flow CRUD Flow Admin Flow Payment Flow Notification Flow File Upload Flow Reporting Flow Business Flow Each rendered as its own interactive graph. --- # Inspector Panel Click any node. Display - Summary - Description - HTTP Method - Path - Parameters - Request Body - Responses - Authentication - Tags - Connected Endpoints - Referenced Schemas - Dependencies - Parents - Children --- # Search Search everything. - Endpoint - Schema - Path - Method - Tag - Component - Response - Parameter - Operation ID Highlight matching nodes instantly. --- # Filters Filter by - GET - POST - PUT - PATCH - DELETE - Public - Protected - Deprecated - Tags - Errors --- # Architecture Dashboard Create premium information cards. Each card should have a unique color. ## What Is Trying To Be Done? Generate a business summary describing the API. --- ## API Overview Display - Number of Endpoints - Schemas - Tags - Components - Security Schemes - Servers --- ## Business Entities Automatically infer - Users - Organizations - Projects - Orders - Products - Payments - Tasks - Files --- ## Authentication Display - JWT - OAuth - API Keys - Cookies - Sessions --- ## Infrastructure Automatically infer technologies. Examples - PostgreSQL - MySQL - MongoDB - Redis - RabbitMQ - Kafka - Docker - Kubernetes - S3 --- ## Complexity Calculate - Architecture Score - Documentation Quality - Endpoint Consistency - Schema Reuse - Security Coverage - API Complexity --- ## Recommendations Detect - Missing Pagination - Missing Validation - Missing Authentication - Duplicate Endpoints - Circular References - Unused Schemas - REST Anti-patterns --- # AI Explain Every node includes an "Explain" button. Generate: - What this endpoint does - Why it exists - What depends on it - What it depends on - Possible frontend usage - Possible backend service - Possible database interaction --- # Visual Connections Connection colors Blue REST Request Purple Authentication Green Schema Reference Orange Database Pink Queue Cyan Cache Yellow External Service Red Error Flow Support: - Animated edges - Curved edges - Dashed edges - Labels - Multiple edge styles --- # Export Allow exporting to: - PNG - SVG - PDF - JSON - Mermaid - Graphviz - PlantUML - Draw.io - Excalidraw --- # Performance Support extremely large APIs. Requirements - 10,000+ endpoints - Virtual rendering - Incremental parsing - Lazy loading - Web Workers - Cached layouts - Smooth 60 FPS interactions --- # Tech Stack ## Frontend - Next.js 16 - React 19 - TypeScript - Tailwind CSS - shadcn/ui - React Flow - Framer Motion - Zustand - TanStack Query - Monaco Editor - D3.js - ELK.js ## Backend - Go - Gin - PostgreSQL - Redis ## OpenAPI - @apidevtools/swagger-parser - js-yaml - openapi-types ## AI Use AI to: - Detect architecture - Build dependency graphs - Infer business domains - Explain endpoints - Generate architecture summaries - Discover hidden relationships --- # Final Goal SwaggerFlow should feel like **Figma meets Swagger UI meets AWS Architecture Designer**. A developer should be able to upload any Swagger/OpenAPI specification and instantly understand: - The architecture - The business domain - Entity relationships - Authentication flow - Data flow - API dependencies - Backend structure - Technology stack - Overall system design Everything should be fully interactive, draggable, zoomable, searchable, filterable, and exportable with a polished, premium developer experience.45:o9,115:T6f2,45:o6f2,I'm planning a Next.js app with client-side heuristics and a substantial build, so I'll start by mapping out the core features and design direction. The main entry point is a homepage with multiple upload options—drag-and-drop, file selection, URL input, paste functionality, sample specs, and a recents list—where I'll use sessionStorage for temporary session data and localStorage lightly for persisting recent uploads. For parsing, I'll combine js-yaml with custom reference resolution rather than relying on heavier libraries like swagger-parser, which can be problematic in the browser. The analysis layer will handle entity extraction, authentication patterns, infrastructure inference, complexity scoring, and relationship mapping. I'm using React Flow for the canvas with custom node types, edges, a minimap, and layout options via dagre for simplicity, plus a few custom layouts like circular and grid arrangements. The UI will include an inspector panel, search and filtering capabilities, a dashboard view, flow explorer, and export options for PNG/SVG via html-to-image, JSON, and Mermaid text format. I'll keep the scope focused on building a polished, functional core rather than over-engineering, so I'm starting with a design brief and dependency list—@xyflow/react, js-yaml, zustand, dagre, and html-to-image as the main packages. Now I'm mapping out the implementation roadmap: set up the parsing engine and graph builder with heuristics, create the upload interface, build the interactive canvas with custom nodes and layout options, add the inspector and search features, develop the architecture dashboard and flow explorer, then implement the export functionality. I'll get design inspiration first, then run parallel installation and scaffolding.45:ob64a,f2:["$","$Lf4",null,{"params":{"chatId":"h74anjZVfuG"},"promises":{"attributes":"$@fe","externalMeta":"$@ff","latest":"$@100","messagesRange":"$@101","messages":"$@102","template":"$@103","gitStatus":"$@104"},"children":["$","$L106",null,{"chatId":"h74anjZVfuG","children":["$","$L107",null,{"seedOnlyKeys":["@\"chat:state\",\"h74anjZVfuG\","],"data":{"block:output:initial":{"id":"b_7BAtPGJOD97","result":"$@108"},"/chat/api/snapshots/proxy?chatId=h74anjZVfuG&messageId=oXQRp1KrDNG7YXJHSAkCItbktuRzC9tN&v=v2":"$@109","@\"block:mappings\",\"h74anjZVfuG\",":{"sqlBlockExecutionStates":"$Q10a","blocksForkedFrom":"$Q10b","blocksTemplateIds":"$Q10c","blocksCreatedAt":"$Q10d","blocksShared":"$Q10e","blocksDeployed":"$Q10f","blocksSubdomains":"$Q110","brandedBlocks":"$Q111","unlistedBlocks":"$Q112","blockOutputs":"$Q113"},"@\"chat:state\",\"h74anjZVfuG\",":{"messages":[{"content":{"type":"parts","parts":[{"type":"mdx","content":"$114"}],"version":1},"role":"user","id":"ZMkSaBtXChbClPFeHIOT1hMIXZ4TiYt7","attachments":[],"type":"message","authorId":"BXkHdKzLEDnfqwGffWVv3V7y","createdAt":"$D2026-07-17T08:05:05.108Z"},{"v0ModelId":"v0-fable-5","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1784275515336,"finishedAt":1784275520541,"lastPartSentAt":1784275520541,"taskNameActive":null,"id":"1ogo05Z2KJluyv1p","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":5,"thought":"Looking at this spec, I need to pivot from the Go backend to Next.js since that's what's feasible here. There are several key decisions to make upfront—handling the AI features through a gateway, setting up persistence for recent projects, and managing the overall scope of this multi-system build. I think I should enter plan mode to clarify the approach and priorities before diving into implementation."}]}}],["p",{},["text",{},"This is an ambitious spec — I'd love to build it. Before I start, a few important decisions need your input since parts of the spec (like a Go/Gin backend) aren't runnable in this environment:"]],["AssistantMessageContentPart",{"part":{"createdAt":1784275529428,"finishedAt":1784275530140,"stopped":{"reason":"user-input-required"},"lastPartSentAt":1784275530119,"taskNameActive":"Clarifying SwaggerFlow scope","taskNameComplete":"Clarified SwaggerFlow scope","toolCallId":"toolu_01Kqt1zWDP6r2MZtvVyYe1Wq","agentTurnId":"turn_40mjrkpeSUHNTRh1","filePath":null,"id":"42m3cV7zp4bSglaM","type":"task-ask-user-questions-v1","parts":[{"type":"asking-questions","questions":[{"id":"q-0","question":"The spec lists Go + Gin + PostgreSQL + Redis as the backend, but this environment runs a Next.js app (Go servers can't run here or deploy to Vercel from this project). How should we handle the backend?","header":"Backend","options":[{"id":"q-0-opt-0","label":"Next.js API routes (Recommended)","description":"All parsing, analysis, and AI run in Next.js server routes/actions. Fully deployable to Vercel, same architecture goals, no Go needed."},{"id":"q-0-opt-1","label":"Client-side only","description":"Parse and analyze entirely in the browser (Web Workers). No server needed except for AI calls."}],"multiSelect":false},{"id":"q-1","question":"Do you want persistent storage for saved/recent projects, or keep v1 session-based?","header":"Persistence","options":[{"id":"q-1-opt-0","label":"In-memory / session only (Recommended)","description":"Recent projects stored client-side for now. Fastest path to a polished v1; database can be added later."},{"id":"q-1-opt-1","label":"Neon Postgres","description":"Real database for saved projects, shareable links, and history. Requires connecting the Neon integration."}],"multiSelect":false},{"id":"q-2","question":"For the AI analysis features (architecture summary, entity inference, endpoint explanations), should I use the Vercel AI Gateway?","header":"AI provider","options":[{"id":"q-2-opt-0","label":"Vercel AI Gateway (Recommended)","description":"Zero-config in v0, uses AI SDK with a strong model (e.g. GPT/Claude) for summaries and explanations."},{"id":"q-2-opt-1","label":"Heuristics only, no AI","description":"Skip real LLM calls; infer entities/flows/recommendations purely from static analysis of the spec."}],"multiSelect":false}]}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"NWGc3BWY69kBRlAUrbbtLs8SmBVI7o7U","gitRevision":null,"streaming":false,"finishReason":"tool-calls","parentId":"ZMkSaBtXChbClPFeHIOT1hMIXZ4TiYt7","type":"message","creditCost":0.1475505,"workMetrics":{"diffMap":{},"agentActions":1},"createdAt":"$D2026-07-17T08:05:05.109Z","updatedAt":"$D2026-07-17T08:05:30.215Z"},{"content":{"type":"parts","parts":[{"type":"answered-questions","answers":[{"questionId":"q-0","questionText":"The spec lists Go + Gin + PostgreSQL + Redis as the backend, but this environment runs a Next.js app (Go servers can't run here or deploy to Vercel from this project). 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This is a multi-system build, so let me set up a task list and get a design direction first."]],["AssistantMessageContentPart",{"part":{"createdAt":1784275583683,"finishedAt":1784275587740,"lastPartSentAt":1784275587719,"taskNameActive":"Planning SwaggerFlow build","taskNameComplete":"Planned SwaggerFlow build","toolCallId":"toolu_01V9ziH2kTXVRtay99etBj4B","agentTurnId":"turn_ekqzBHMsZax3d8V3","filePath":null,"id":"9EpZNU0jWVYlrIcH","type":"task-manage-todos-v1","parts":[{"type":"starting-todo-manager"},{"type":"updated-todo-list","updatedList":[{"status":"in-progress","task":"Build parsing & analysis engine (OpenAPI parser, graph builder, heuristics)"},{"status":"todo","task":"Build homepage with upload methods"},{"status":"todo","task":"Build interactive canvas with custom nodes, edges, layouts"},{"status":"todo","task":"Add inspector panel, search, and filters"},{"status":"todo","task":"Build architecture dashboard and flow explorer"},{"status":"todo","task":"Add export functionality (PNG, SVG, JSON, Mermaid)"}]}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1784275586739,"finishedAt":1784275588169,"lastPartSentAt":1784275588135,"taskNameActive":"Generating design brief","taskNameComplete":"Generated design brief","toolCallId":"toolu_01UiLYtas7LN5k5Rpr3mDgTD","agentTurnId":"turn_ekqzBHMsZax3d8V3","filePath":null,"id":"NIWOtEC6r5njsfUG","type":"task-generate-design-inspiration-v1","parts":[{"type":"starting-design-inspiration","prompt":"SwaggerFlow: a premium developer tool that visualizes OpenAPI/Swagger specs as interactive architecture diagrams on an infinite canvas"},{"type":"finished-design-inspiration"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1784275594926,"finishedAt":1784275595192,"lastPartSentAt":1784275595192,"taskNameActive":null,"id":"oioxCwaOuISETVFF","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I'll work with the user's detailed spec as the design foundation and then check the project setup to install any necessary dependencies."}]}}],["p",{},["text",{},"The spec itself is a detailed design brief, so I'll follow it directly. Let me check the project scaffold and install dependencies."]],["AssistantMessageContentPart",{"part":{"createdAt":1784275596259,"finishedAt":1784275597431,"lastPartSentAt":1784275597322,"taskNameActive":"Inspecting project structure","taskNameComplete":"Inspected project structure","toolCallId":"toolu_01PYYvkqw1DsPhn4mWdWBec9","agentTurnId":"turn_jmsNhelVwcKg2ss2","filePath":null,"id":"MMLgFXinZfLXPnvR","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"ls -la /vercel/share/v0-project && cat /vercel/share/v0-project/package.json && ls /vercel/share/v0-project/app /vercel/share/v0-project/components/ui 2>/dev/null"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"FFGzN2tJ6uE329Bc"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"total 160\ndrwxr-xr-x 9 vercel-sandbox vercel-sandbox 309 Jul 17 08:05 .\ndrwxr-xr-x 7 vercel-sandbox vercel-sandbox 261 Jul 17 08:06 ..\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 254 Jul 17 08:05 .env.development.local\ndrwxr-xr-x 7 vercel\n\n...\n\n^8.5\",\n \"tailwindcss\": \"^4.3.3\",\n \"typescript\": \"5.7.3\"\n },\n \"pnpm\": {\n \"overrides\": {\n \"hono\": \"4.12.25\"\n }\n }\n}/vercel/share/v0-project/app:\nglobals.css\nlayout.tsx\npage.tsx\n\n/vercel/share/v0-project/components/ui:\nbutton.tsx\n"},"id":"iUTyU9CEiK0ED2xw"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1784275603981,"finishedAt":1784275608277,"lastPartSentAt":1784275608160,"taskNameActive":"Installing dependencies","taskNameComplete":"Installed dependencies","toolCallId":"toolu_016hFm8MpxGYikcHQKk21DtP","agentTurnId":"turn_C3c4PwElRoGUFMVV","filePath":null,"id":"f9pyGKR905rvubgD","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && pnpm add @xyflow/react zustand js-yaml @types/js-yaml @dagrejs/dagre html-to-image","timeout":180000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"w8ulV6bLcXNzBTrt"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"Progress: resolved 1, reused 0, downloaded 0, added 0\n"},"id":"zEjdwc1fVdrRw7rS"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"Progress: resolved 57, reused 35, downloaded 0, added 0\n"},"id":"3B1b4TQo7adLCv0P"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"Progress: resolved 295, reused 220, downloaded 8, added 0\n"},"id":"sDEyo0tAoAQvSaDC"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" WARN 1 deprecated subdependencies found: node-domexception@1.0.0\nPackages: +25\n+"},"id":"x80ONsGb1pS0C4Gy"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"++++++++++++++++++++++++\nProgress: resolved 471, reused 396, downloaded 25, added 25, done\n\ndependencies:\n+ @dagrejs/dagr\n\n...\n\n │\n╰──────────────────────────────────────────────────────────────────────────────╯\nDone in 3.2s using pnpm v10.34.3\n"},"id":"WgyAVZA8oYZTgxaU"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_e1nNjEthdsE","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"package.json","baseName":"package.json","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"pnpm-lock.yaml","baseName":"pnpm-lock.yaml","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]json:file=\"package.json\" \nGENERATING\n[V0_FILE]yaml:file=\"pnpm-lock.yaml\" \nGENERATING","latestDeploymentInfo":"$10f:0:1","lastDeployedAt":"2026-07-17T08:16:45.065Z","sourceVersionKey":"v_1_98rz2_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_e1nNjEthdsE","meta":{"taskNameActive":"Applying changes","taskNameComplete":"Applied changes","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Applying changes","taskNameComplete":"Applied changes"},"id":"block-b_e1nNjEthdsE"}],["AssistantMessageContentPart",{"part":{"createdAt":1784275615966,"finishedAt":1784275625709,"lastPartSentAt":1784275625709,"taskNameActive":null,"id":"DWpM2BYgzYrq2SSv","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":10,"thought":"I'm laying out the core engine architecture with separate modules for parsing OpenAPI specs, analyzing them for patterns and complexity, and building a graph representation of the API structure.\n\nThen the UI layer: a homepage with upload capabilities, a main studio page with a React Flow canvas showing custom nodes for different API components (endpoints, schemas, auth flows, infrastructure), plus inspector and dashboard panels for exploring the architecture. I'm storing the spec in Zustand with sessionStorage for persistence across reloads, and keeping recent specs in localStorage so users can quickly reopen them. The app routes between home and the studio, and I need to handle URL imports for loading specs from external sources.\n\nNow I'm setting up the design system with a dark theme, a palette of accent colors (blue, purple, emerald, orange, pink, cyan, yellow, red) with slate for neutrals, and using Geist Sans and Mono for that developer tool aesthetic. Starting with the core types and parser logic."}]}}],["p",{},["text",{},"Dependencies installed. Now I'll build the parsing and analysis engine."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_pFldHVRFY4P","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"package.json","baseName":"package.json","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"pnpm-lock.yaml","baseName":"pnpm-lock.yaml","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/lib/openapi/types.ts","baseName":"types.ts","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]json:file=\"package.json\" \nGENERATING\n[V0_FILE]yaml:file=\"pnpm-lock.yaml\" \nGENERATING\n[V0_FILE]ts:file=\"/lib/openapi/types.ts\" \nGENERATING","latestDeploymentInfo":"$10f:1:1","lastDeployedAt":"2026-07-17T08:16:45.065Z","sourceVersionKey":"v_1_uifnt_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_pFldHVRFY4P","meta":{"taskNameActive":"Writing OpenAPI types","taskNameComplete":"Wrote OpenAPI types","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Writing OpenAPI types","taskNameComplete":"Wrote OpenAPI types"},"id":"block-b_pFldHVRFY4P"}],["AssistantMessageContentPart",{"part":{"createdAt":1784275651310,"finishedAt":1784275651792,"lastPartSentAt":1784275651792,"taskNameActive":null,"id":"AjgcorAyDPtFihfY","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I'm building a parser that handles both OpenAPI 3.x and Swagger 2.0 formats, with support for resolving $ref pointers to schema definitions whether they're in the OpenAPI components structure or the older Swagger definitions location."}]}}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_uPygVrhQPGL","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/lib/openapi/parse.ts","baseName":"parse.ts","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]ts:file=\"/lib/openapi/parse.ts\" \nGENERATING","latestDeploymentInfo":"$10f:2:1","lastDeployedAt":"2026-07-17T08:16:45.065Z","sourceVersionKey":"v_1_ej7lp_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_uPygVrhQPGL","meta":{"taskNameActive":"Writing OpenAPI parser","taskNameComplete":"Wrote OpenAPI parser","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Writing OpenAPI parser","taskNameComplete":"Wrote OpenAPI parser"},"id":"block-b_uPygVrhQPGL"}],["AssistantMessageContentPart",{"part":{"createdAt":1784275709185,"finishedAt":1784275709877,"lastPartSentAt":1784275709877,"taskNameActive":null,"id":"V5sRg3IdGuqraCMO","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"Now I'm laying out the key analytical components: identifying the entities involved, mapping the infrastructure, calculating performance scores, generating actionable recommendations, tracing the data flows, and synthesizing it all into a business-focused summary."}]}}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_LAx4QsEFM9j","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/lib/openapi/analyze.ts","baseName":"analyze.ts","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]ts:file=\"/lib/openapi/analyze.ts\" \nGENERATING","latestDeploymentInfo":"$10f:3:1","lastDeployedAt":"2026-07-17T08:16:45.065Z","sourceVersionKey":"v_1_2utyv_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_LAx4QsEFM9j","meta":{"taskNameActive":"Writing analysis engine","taskNameComplete":"Wrote analysis engine","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Writing analysis engine","taskNameComplete":"Wrote analysis engine"},"id":"block-b_LAx4QsEFM9j"}],["AssistantMessageContentPart",{"part":{"createdAt":1784275815491,"finishedAt":1784275819862,"lastPartSentAt":1784275819862,"taskNameActive":null,"id":"KHAvFxUPrtehfi15","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":4,"thought":"Now I'm building the graph builder to convert the parsed spec and analysis into React Flow nodes and edges, with different node types for endpoints, schemas, auth, and infrastructure components like databases, caches, and queues. For layouts, I'm implementing several approaches—dagre for layered and tree arrangements, circular and grid options, plus a force-directed layout—and mapping the ten requested layout modes onto these implementations.\n\nI'll focus on seven solid layout modes: layered, tree, circular, grid, force-directed, swimlane grouped by node type, and domain-driven grouped by tags. The remaining mode names can map to these, and I'll add a dependency view that emphasizes only dependency edges. 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I'll include JWT authentication, file uploads, payment processing, and webhooks to test the heuristics thoroughly, then move on to building the export utilities, store, and API route for URL fetching before tackling the UI."}]}}],["p",{},["text",{},"Now the sample spec, export utilities, store, and URL-fetch API route."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_8PA8VDpwIus","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/lib/openapi/sample-spec.ts","baseName":"sample-spec.ts","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]ts:file=\"/lib/openapi/sample-spec.ts\" \nGENERATING","latestDeploymentInfo":"$10f:6:1","lastDeployedAt":"2026-07-17T08:16:45.065Z","sourceVersionKey":"v_1_5b73s_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_8PA8VDpwIus","meta":{"taskNameActive":"Writing sample spec","taskNameComplete":"Wrote sample spec","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Writing sample spec","taskNameComplete":"Wrote sample spec"},"id":"block-b_8PA8VDpwIus"}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_GTTCW5YAvUO","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/lib/openapi/export.ts","baseName":"export.ts","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]ts:file=\"/lib/openapi/export.ts\" \nGENERATING","latestDeploymentInfo":"$10f:7:1","lastDeployedAt":"2026-07-17T08:16:45.065Z","sourceVersionKey":"v_1_iu4mw_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_GTTCW5YAvUO","meta":{"taskNameActive":"Writing export utilities","taskNameComplete":"Wrote export utilities","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Writing export utilities","taskNameComplete":"Wrote export utilities"},"id":"block-b_GTTCW5YAvUO"}],["AssistantMessageContentPart",{"part":{"createdAt":1784275994961,"finishedAt":1784275995886,"lastPartSentAt":1784275995886,"taskNameActive":null,"id":"Zc3xQgpD4l9VkY5l","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I'm setting up the Zustand store to persist recent items and handle URL fetching through an API route. 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