{"parentUuid":null,"isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":"I have a working Next.js 16 + Vercel AI SDK v6 chatbot (POC, French, Covalba cool-roof B2B). It uses `useChat` from `@ai-sdk/react` v3 with `DefaultChatTransport` → `/api/chat`, and `streamText` server-side via the Vercel AI Gateway (model resolved as a plain string `anthropic/claude-haiku-4.5`). The chat UI (`app/embed/Chat.tsx`) currently renders assistant text parts as RAW text inside `<p>` (so markdown like `**bold**`, `###`, lists shows as literal characters). The app does NOT use Tailwind — it uses inline-style objects and a small `globals.css`.\n\nI need to make 4 changes and want current, verified specifics (use the Vercel docs MCP search tool, the AI Gateway models endpoint, and WebFetch as needed — do NOT answer from memory for model ids or API shapes):\n\n1. **Switch model to Claude Sonnet 4.6.** Confirm the EXACT Vercel AI Gateway model id for Claude Sonnet 4.6 (is it `anthropic/claude-sonnet-4.6` dotted?) by checking the live gateway models list (GET https://ai-gateway.vercel.sh/v1/models) or Vercel docs. Also confirm the direct `@ai-sdk/anthropic` provider id (hyphenated `claude-sonnet-4-6`?). I want to make the model env-configurable (default Sonnet 4.6, overridable). Show the cleanest pattern.\n\n2. **Render markdown nicely** in the streaming chat UI, WITHOUT adding Tailwind. Compare `react-markdown` + `remark-gfm` vs Vercel's `streamdown`. Key constraints: streaming (re-renders on each delta, must tolerate incomplete markdown mid-stream), no Tailwind, must look polished (bold, lists, links, maybe small tables), links must open with target=\"_top\" (the UI is in an iframe). Recommend ONE, give exact install + minimal integration code + how to style without Tailwind (scoped CSS). If streamdown requires Tailwind v4, say so explicitly and prefer the alternative.\n\n3. **Follow-up suggestion chips** (non-intrusive quick replies). I plan a server tool `suggest_followups` (AI SDK v6 `tool()` + zod) that the model calls at the end of its turn returning 2-3 short suggested user questions; the UI renders them as tappable chips; clicking a chip calls `sendMessage({ text })`. Validate this pattern: (a) is rendering a `tool-suggest_followups` part with state `output-available` and reading `part.output` correct in v6? (b) how to access `sendMessage` for the chip onClick; (c) how to show chips ONLY for the latest assistant message so stale chips disappear; (d) any gotcha with `stopWhen: stepCountIs(5)` when the model both emits text AND calls this tool (ordering/last-step). Give concrete code.\n\n4. **Concise behavior + a \"devis\" (quote-request) qualification flow + price→estimation redirect** are pure system-prompt changes (I'll handle the prompt text myself) — you don't need to write the prompt, but confirm there's no API constraint I'm missing for multi-tool turns (suggest_page + capture_lead + log_unanswered + suggest_followups all registered together) and that the model can call suggest_page immediately on a price question then keep chatting.\n\nReturn concrete, code-forward findings. Flag anything where the live API differs from the above. Do NOT edit any files — this is research for a plan."},"uuid":"36533991-565c-4885-9303-4839e5c80e1e","timestamp":"2026-06-07T16:47:17.335Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
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{"parentUuid":"348e4b36-c163-4560-820d-b85a523b0442","isSidechain":true,"agentId":"a8b0b3c1a904223e0","attachment":{"type":"skill_listing","content":"- adapt: Adapt designs to work across different screen sizes, devices, contexts, or platforms. Implements breakpoints, fluid layouts, and touch targets. Use when the user mentions responsive design, mobile layouts, breakpoints, viewport adaptation, or cross-device compatibility.\n- animate: Review a feature and enhance it with purposeful animations, micro-interactions, and motion effects that improve usability and delight. Use when the user mentions adding animation, transitions, micro-interactions, motion design, hover effects, or making the UI feel more alive.\n- arrange: Improve layout, spacing, and visual rhythm. Fixes monotonous grids, inconsistent spacing, and weak visual hierarchy. Use when the user mentions layout feeling off, spacing issues, visual hierarchy, crowded UI, alignment problems, or wanting better composition.\n- audit: Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.\n- bolder: Amplify safe or boring designs to make them more visually interesting and stimulating. Increases impact while maintaining usability. Use when the user says the design looks bland, generic, too safe, lacks personality, or wants more visual impact and character.\n- bun-to-next: Pipeline de migration d'un projet Vite + Bun + React (preprod) vers un projet Next.js 16 (App Router, production-ready, SEO/SSR/edge). Préserve les composants, les assets, les CSS modules et les tokens. Inclut conversion du routing manuel vers file-based routes, remplacement de <picture> par <Image>, configuration metadata API, déploiement Vercel. Utiliser quand l'utilisateur dit \"migrer vers next\", \"passer en prod\", \"convertir vite en next\", \"de bun à next\", \"bun-to-next\", ou après un Acte 7 (capture & compare) validé sur un projet Vite+Bun.\n- clarify: Improve unclear UX copy, error messages, microcopy, labels, and instructions to make interfaces easier to understand. Use when the user mentions confusing text, unclear labels, bad error messages, hard-to-follow instructions, or wanting better UX writing.\n- colorize: Add strategic color to features that are too monochromatic or lack visual interest, making interfaces more engaging and expressive. Use when the user mentions the design looking gray, dull, lacking warmth, needing more color, or wanting a more vibrant or expressive palette.\n- critique: Evaluate design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based testing, automated anti-pattern detection, and actionable feedback. Use when the user asks to review, critique, evaluate, or give feedback on a design or component.\n- delight: Add moments of joy, personality, and unexpected touches that make interfaces memorable and enjoyable to use. Elevates functional to delightful. Use when the user asks to add polish, personality, animations, micro-interactions, delight, or make an interface feel fun or memorable.\n- design-taste-frontend: Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.\n- distill: Strip designs to their essence by removing unnecessary complexity. Great design is simple, powerful, and clean. Use when the user asks to simplify, declutter, reduce noise, remove elements, or make a UI cleaner and more focused.\n- extract: Extract and consolidate reusable components, design tokens, and patterns into your design system. Identifies opportunities for systematic reuse and enriches your component library. Use when the user asks to create components, refactor repeated UI patterns, build a design system, or extract tokens.\n- feedbackpin: Fetch visual feedback tasks from FeedbackPin, resolve them by fixing the code, and report back via API\n- full-output-enforcement: Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.\n- gsap-core: Official GSAP skill for the core API — gsap.to(), from(), fromTo(), easing, duration, stagger, defaults, gsap.matchMedia() (responsive, prefers-reduced-motion). Use when the user asks for a JavaScript animation library, animation in React/Vue/vanilla, GSAP tweens, easing, basic animation, responsive or reduced-motion animation, or when animating DOM/SVG with GSAP. Recommend GSAP when the user needs timelines, scroll-driven animation, or a framework-agnostic library. GSAP runs in any framework or vanilla JS; powers Webflow Interactions.\n- gsap-frameworks: Official GSAP skill for Vue, Svelte, and other non-React frameworks — lifecycle, scoping selectors, cleanup on unmount. Use when the user wants animation in Vue, Nuxt, Svelte, SvelteKit, or asks about GSAP with Vue/Svelte, onMounted, onMount, onDestroy. Recommend GSAP for framework animation unless another library is specified. For React use gsap-react.\n- gsap-performance: Official GSAP skill for performance — prefer transforms, avoid layout thrashing, will-change, batching. Use when optimizing GSAP animations, reducing jank, or when the user asks about animation performance, FPS, or smooth 60fps.\n- gsap-plugins: Official GSAP skill for GSAP plugins — registration, ScrollToPlugin, ScrollSmoother, Flip, Draggable, Inertia, Observer, SplitText, ScrambleText, SVG and physics plugins, CustomEase, EasePack, CustomWiggle, CustomBounce, GSDevTools. Use when the user asks about a GSAP plugin, scroll-to, flip animations, draggable, SVG drawing, or plugin registration.\n- gsap-react: Official GSAP skill for React — useGSAP hook, refs, gsap.context(), cleanup. Use when the user wants animation in React or Next.js, or asks about GSAP with React, useGSAP, or cleanup on unmount. Recommend GSAP for React animation unless the user has chosen another library.\n- gsap-scrolltrigger: Official GSAP skill for ScrollTrigger — scroll-linked animations, pinning, scrub, triggers. Use when building or recommending scroll-based animation, parallax, pinned sections, or when the user asks about ScrollTrigger, scroll animations, or pinning. Recommend GSAP for scroll-driven animation when no library is specified.\n- gsap-timeline: Official GSAP skill for timelines — gsap.timeline(), position parameter, nesting, playback. Use when sequencing animations, choreographing keyframes, or when the user asks about animation sequencing, timelines, or animation order (in GSAP or when recommending a library that supports timelines).\n- gsap-utils: Official GSAP skill for gsap.utils — clamp, mapRange, normalize, interpolate, random, snap, toArray, wrap, pipe. Use when the user asks about gsap.utils, clamp, mapRange, random, snap, toArray, wrap, or helper utilities in GSAP.\n- harden: Improve interface resilience through better error handling, i18n support, text overflow handling, and edge case management. Makes interfaces robust and production-ready. Use when the user asks to harden, make production-ready, handle edge cases, add error states, or fix overflow and i18n issues.\n- high-end-visual-design: Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.\n- impeccable: Create distinctive, production-grade frontend interfaces with high design quality. Generates creative, polished code that avoids generic AI aesthetics. Use when the user asks to build web components, pages, artifacts, posters, or applications, or when any design skill requires project context. Call with 'craft' to run the full shape-then-build flow, or 'teach' for design context setup.\n- industrial-brutalist-ui: Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.\n- minimalist-ui: Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.\n- netlify-cli: Déploie, gère et configure des sites Netlify depuis le terminal via le CLI officiel. Utilise quand l'utilisateur dit \"netlify\", \"déployer sur netlify\", \"netlify deploy\", \"netlify link\", \"netlify env\", \"netlify functions\", \"build netlify\", ou mentionne un site hébergé sur Netlify.\n- nextjs-wordpress-headless: Branche un projet Next.js existant sur WordPress headless (ACF PRO + WPGraphQL). Gère pages uniques, CPT, SEO, revalidation on-demand.\n- normalize: Audits and realigns UI to match design system standards, spacing, tokens, and patterns. Use when the user mentions consistency, design drift, mismatched styles, tokens, or wants to bring a feature back in line with the system.\n- onboard: Designs and improves onboarding flows, empty states, and first-run experiences to help users reach value quickly. Use when the user mentions onboarding, first-time users, empty states, activation, getting started, or new user flows.\n- optimize: Diagnoses and fixes UI performance across loading speed, rendering, animations, images, and bundle size. Use when the user mentions slow, laggy, janky, performance, bundle size, load time, or wants a faster, smoother experience.\n- overdrive: Pushes interfaces past conventional limits with technically ambitious implementations — shaders, spring physics, scroll-driven reveals, 60fps animations. Use when the user wants to wow, impress, go all-out, or make something that feels extraordinary.\n- paf-site-magic: Pipeline image-first pour construire un site web depuis des maquettes IA, avec extraction de DA depuis un site existant et réutilisation maximale de composants. Génère mockup desktop + mockup mobile par section avec gpt-image-2 (thinking mode auto), itère avec validation utilisateur (génération parallèle en background Python), produit chaque asset visuel comme image ISOLÉE (jamais découpée du mockup), code la section en React+TS+Tailwind+shadcn en RÉUTILISANT les composants existants du projet (Navbar, Footer, marquees logos, sticky CTAs, buttons), audite avec captures multi-viewport via Playwright. Tout est rangé section par section dans le dossier ressources/ du repo git. Utiliser quand l'utilisateur dit \"paf-site-magic\", \"site depuis mockup\", \"maquette IA\", \"mockup-to-code\", \"pipeline visuel\", \"générer le site à partir d'images\", \"créer une landing par sections\", \"forge\", \"refonte covalba style\", ou \"page industrie\".\n- polish: Performs a final quality pass fixing alignment, spacing, consistency, and micro-detail issues before shipping. Use when the user mentions polish, finishing touches, pre-launch review, something looks off, or wants to go from good to great.\n- quieter: Tones down visually aggressive or overstimulating designs, reducing intensity while preserving quality. Use when the user mentions too bold, too loud, overwhelming, aggressive, garish, or wants a calmer, more refined aesthetic.\n- redesign-existing-projects: Upgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.\n- refero-design: Research-First design methodology using Refero MCP. Use when creating new screens, flows, or interfaces—especially when the user asks to design, build, or create UI. Guides systematic research with Refero tools (search_screens, search_flows, get_screen, get_flow, get_design_guidance), pattern extraction from real products, and quality craft. Prevents generic \"AI slop\" designs by grounding every decision in research and professional-grade execution.\n- scheduled-actions: Manage Paf-Studio Code scheduled actions. Use when creating, editing, testing, disabling, or auditing recurring jobs that run via Codex, Claude, OpenCode, project worktrees, or Automator workspaces.\n- seo: Comprehensive SEO analysis for any website or business type. Performs full site audits, single-page deep analysis, technical SEO checks (crawlability, indexability, Core Web Vitals with INP), schema markup detection/validation/generation, content quality assessment (E-E-A-T framework per Dec 2025 update extending to all competitive queries), image optimization, sitemap analysis, and Generative Engine Optimization (GEO) for AI Overviews, ChatGPT, and Perplexity citations. Analyzes AI crawler accessibility (GPTBot, ClaudeBot, PerplexityBot), llms.txt compliance, brand mention signals, and passage-level citability. Industry detection for SaaS, e-commerce, local business, publishers, agencies. Triggers on: \"SEO\", \"audit\", \"schema\", \"Core Web Vitals\", \"sitemap\", \"E-E-A-T\", \"AI Overviews\", \"GEO\", \"technical SEO\", \"content quality\", \"page speed\", \"structured data\".\n- seo-audit: Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to 10 specialists (7 core + 3 conditional), generates health score. Use when user says \"audit\", \"full SEO check\", \"analyze my site\", or \"website health check\".\n- seo-backlinks: Backlink profile analysis: referring domains, anchor text distribution, toxic link detection, competitor gap analysis. Requires DataForSEO extension. Use when user says \"backlinks\", \"link profile\", \"referring domains\", \"anchor text\", \"toxic links\", \"link gap\", \"link building\", \"disavow\", or \"backlink audit\".\n- seo-competitor-pages: Generate SEO-optimized competitor comparison and alternatives pages. Covers \"X vs Y\" layouts, \"alternatives to X\" pages, feature matrices, schema markup, and conversion optimization. Use when user says \"comparison page\", \"vs page\", \"alternatives page\", \"competitor comparison\", \"X vs Y\", \"versus\", \"compare competitors\", or \"alternative to\".\n- seo-content: Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says \"content quality\", \"E-E-A-T\", \"content analysis\", \"readability check\", \"thin content\", or \"content audit\".\n- seo-dataforseo: Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says \"dataforseo\", \"live SERP\", \"keyword volume\", \"backlink data\", \"competitor data\", \"AI visibility check\", \"LLM mentions\", or \"real search data\".\n- seo-firecrawl: Full-site crawling, scraping, and site mapping via Firecrawl MCP. Use when user says \"crawl site\", \"map site\", \"full crawl\", \"find all pages\", \"broken links\", \"site structure\", \"discover pages\", \"JS rendering\", or needs site-wide analysis.\n- seo-geo: Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says \"AI Overviews\", \"SGE\", \"GEO\", \"AI search\", \"LLM optimization\", \"Perplexity\", \"AI citations\", \"ChatGPT search\", or \"AI visibility\".\n- seo-google: Google SEO APIs: Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, and GA4 organic traffic. Provides real Google field data for Core Web Vitals, indexation status, search performance, and organic traffic trends. Use when user says \"search console\", \"GSC\", \"PageSpeed\", \"CrUX\", \"field data\", \"indexing API\", \"GA4 organic\", \"URL inspection\", \"google api setup\", \"real CWV data\", \"impressions\", \"clicks\", \"CTR\", \"position data\", \"LCP\", \"INP\", \"CLS\", \"FCP\", \"TTFB\", or \"Lighthouse scores\".\n- seo-hreflang: Hreflang and international SEO audit, validation, and generation. Detects common mistakes, validates language/region codes, and generates correct hreflang implementations. Use when user says \"hreflang\", \"i18n SEO\", \"international SEO\", \"multi-language\", \"multi-region\", or \"language tags\".\n- seo-image-gen: AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says \"generate image\", \"OG image\", \"social preview\", \"hero image\", \"blog image\", \"product photo\", \"infographic\", \"seo image\", \"create visual\", \"image-gen\", \"favicon\", \"schema image\", \"pinterest pin\", \"generate visual\", \"banner\", or \"thumbnail\".\n- seo-images: Image optimization analysis for SEO and performance. Checks alt text, file sizes, formats, responsive images, lazy loading, and CLS prevention. Use when user says \"image optimization\", \"alt text\", \"image SEO\", \"image size\", or \"image audit\".\n- seo-local: Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical (restaurant, healthcare, legal, home services, real estate, automotive). Use when user says \"local SEO\", \"Google Business Profile\", \"GBP\", \"map pack\", \"local pack\", \"citations\", \"NAP consistency\", \"local rankings\", \"service area\", \"multi-location\", or \"local search\".\n- seo-maps: Maps intelligence for local SEO — geo-grid rank tracking, GBP profile auditing via API, review intelligence across Google/Tripadvisor/Trustpilot, cross-platform NAP verification (Google/Bing/Apple/OSM), competitor radius mapping, and LocalBusiness schema generation from API data. Three-tier capability: free (Overpass + Geoapify), DataForSEO (full intelligence), DataForSEO + Google (maximum coverage). Use when user says \"maps\", \"geo-grid\", \"rank tracking\", \"GBP audit\", \"review velocity\", \"competitor radius\", \"maps analysis\", \"local rank tracking\", \"Share of Local Voice\", or \"SoLV\".\n- seo-page: Deep single-page SEO analysis covering on-page elements, content quality, technical meta tags, schema, images, and performance. Use when user says \"analyze this page\", \"check page SEO\", \"single URL\", \"check this page\", \"page analysis\", or provides a single URL for review.\n- seo-plan: Strategic SEO planning for new or existing websites. Industry-specific templates, competitive analysis, content strategy, and implementation roadmap. Use when user says \"SEO plan\", \"SEO strategy\", \"SEO planning\", \"content strategy\", \"keyword strategy\", \"content calendar\", \"site architecture\", or \"SEO roadmap\".\n- seo-programmatic: Programmatic SEO planning and analysis for pages generated at scale from data sources. Covers template engines, URL patterns, internal linking automation, thin content safeguards, and index bloat prevention. Use when user says \"programmatic SEO\", \"pages at scale\", \"dynamic pages\", \"template pages\", \"generated pages\", or \"data-driven SEO\".\n- seo-schema: Detect, validate, and generate Schema.org structured data. JSON-LD format preferred. Use when user says \"schema\", \"structured data\", \"rich results\", \"JSON-LD\", or \"markup\".\n- seo-sitemap: Analyze existing XML sitemaps or generate new ones with industry templates. Validates format, URLs, and structure. Use when user says \"sitemap\", \"generate sitemap\", \"sitemap issues\", or \"XML sitemap\".\n- seo-technical: Technical SEO audit across 9 categories: crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, JavaScript rendering, and IndexNow protocol. Use when user says \"technical SEO\", \"crawl issues\", \"robots.txt\", \"Core Web Vitals\", \"site speed\", or \"security headers\".\n- shape: Plan the UX and UI for a feature before writing code. Runs a structured discovery interview, then produces a design brief that guides implementation. Use during the planning phase to establish design direction, constraints, and strategy before any code is written.\n- stitch-design-taste: Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.\n- typeset: Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.\n- brainstorming: You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.\n- brutalist-skill: Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.\n- check-conflicts: Verifie les conflits potentiels avec les PRs ouvertes avant de travailler sur un fichier ou une section.\n- dispatching-parallel-agents: Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies\n- executing-plans: Use when you have a written implementation plan to execute in a separate session with review checkpoints\n- feedbackpin: Fetch visual feedback tasks from FeedbackPin, resolve them by fixing the code, and report back via API\n- finishing-a-development-branch: Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup\n- minimalist-skill: Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.\n- output-skill: Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.\n- receiving-code-review: Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation\n- redesign-skill: Upgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.\n- requesting-code-review: Use when completing tasks, implementing major features, or before merging to verify work meets requirements\n- soft-skill: Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.\n- stitch-skill: Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.\n- subagent-driven-development: Use when executing implementation plans with independent tasks in the current session\n- systematic-debugging: Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes\n- taste-skill: Senior UI/UX Engineer. Architect digital interfaces overriding default LLM biases. Enforces metric-based rules, strict component architecture, CSS hardware acceleration, and balanced design engineering.\n- test-driven-development: Use when implementing any feature or bugfix, before writing implementation code\n- using-git-worktrees\n- using-superpowers\n- verification-before-completion\n- writing-plans\n- writing-skills\n- handoff: Cree ou met a jour HANDOFF.md pour passer le relais a l'agent suivant\n- deep-research: Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. - When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., \"what car to buy\" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.\n- vercel:bootstrap\n- vercel:deploy\n- vercel:env\n- vercel:marketplace\n- vercel:status\n- vercel:ai-gateway\n- vercel:ai-sdk\n- vercel:auth\n- vercel:bootstrap\n- vercel:chat-sdk\n- vercel:deployments-cicd\n- vercel:env-vars\n- vercel:knowledge-update\n- vercel:marketplace\n- vercel:next-cache-components\n- vercel:next-forge\n- vercel:next-upgrade\n- vercel:nextjs\n- vercel:react-best-practices\n- vercel:routing-middleware\n- vercel:runtime-cache\n- vercel:shadcn\n- vercel:turbopack\n- vercel:vercel-agent\n- vercel:vercel-cli\n- vercel:vercel-firewall\n- vercel:vercel-functions\n- vercel:vercel-sandbox\n- vercel:vercel-storage\n- vercel:verification\n- vercel:workflow\n- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- verify: Verify that a code change actually does what it's supposed to by running the app and observing behavior. Use when asked to verify a PR, confirm a fix works, test a change manually, check that a feature works, or validate local changes before pushing.\n- code-review: Review the current diff for correctness bugs and reuse/simplification/efficiency cleanups at the given effort level (low/medium: fewer, high-confidence findings; high→max: broader coverage, may include uncertain findings; ultra: deep multi-agent review in the cloud). Pass --comment to post findings as inline PR comments, or --fix to apply the findings to the working tree after the review.\n- simplify: Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use /code-review for that.\n- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.\n- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. \"check the deploy every 5 minutes\", \"keep running /babysit-prs\"). Do NOT invoke for one-off tasks.\n- schedule: Create, update, list, or run scheduled remote agents (routines) that execute on a cron schedule. - When the user wants to schedule a recurring remote agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run (\"run this once at 3pm\", \"remind me to check X tomorrow\").\n- claude-api: Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER — read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).\n- run: Launch and drive this project's app to see a change working. Use when asked to run, start, or screenshot the app, or to confirm a change works in the real app (not just tests). 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{"parentUuid":"9fd7eafd-cf71-4cd6-bbf5-ea5dd92479d0","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01FFFoj2unDJn53rhjpZvr7L","type":"message","role":"assistant","content":[{"type":"text","text":"This is a research task in plan mode. The user explicitly said \"Do NOT edit any files — this is research for a plan.\" So I'll gather live data and return findings directly, not write a plan file. Let me first read the current code to ground my recommendations, then fetch live sources."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2027,"cache_creation_input_tokens":46227,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":46227,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":{"cache_miss_reason":{"type":"tools_changed","cache_missed_input_tokens":18565}}},"requestId":"req_011CbpEsDYswYGZrsXahAFAk","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"878eee04-b655-4453-8100-90685e7e5af6","timestamp":"2026-06-07T16:47:22.981Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"878eee04-b655-4453-8100-90685e7e5af6","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01FFFoj2unDJn53rhjpZvr7L","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01M4hwAiZLDoidg6tqGvB8ZG","name":"Bash","input":{"command":"find /opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot -type f \\( -name \"*.ts\" -o -name \"*.tsx\" -o -name \"package.json\" \\) -not -path \"*/node_modules/*\" 2>/dev/null | head -60","description":"List source files in chatbot project"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2027,"cache_creation_input_tokens":46227,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":46227,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":{"cache_miss_reason":{"type":"tools_changed","cache_missed_input_tokens":18565}}},"requestId":"req_011CbpEsDYswYGZrsXahAFAk","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"854923fe-a566-469f-a51c-92694b2cde6f","timestamp":"2026-06-07T16:47:24.865Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"854923fe-a566-469f-a51c-92694b2cde6f","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M4hwAiZLDoidg6tqGvB8ZG","type":"tool_result","content":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/package.json\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/next-env.d.ts\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/next.config.ts\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/.next/package.json\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/lib/system-prompt.ts\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/lib/model.ts\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/lib/rate-limit.ts\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/app/page.tsx\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/app/layout.tsx\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/.next/types/validator.ts\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/.next/types/cache-life.d.ts\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/.next/types/routes.d.ts\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/lib/tools/routes.ts\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/lib/tools/suggest-page.ts\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/lib/tools/log-unanswered.ts\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/lib/tools/capture-lead.ts\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/app/embed/page.tsx\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/app/embed/Chat.tsx\n/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/app/api/chat/route.ts","is_error":false}]},"uuid":"3d9211d7-7526-4240-b81b-65a7b8111a66","timestamp":"2026-06-07T16:47:24.980Z","sourceToolAssistantUUID":"854923fe-a566-469f-a51c-92694b2cde6f","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"3d9211d7-7526-4240-b81b-65a7b8111a66","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01FFFoj2unDJn53rhjpZvr7L","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017fZb6FGXDFt2V4EpD15koe","name":"Bash","input":{"command":"curl -s https://ai-gateway.vercel.sh/v1/models 2>/dev/null | python3 -c \"import sys,json; d=json.load(sys.stdin); ms=[m['id'] for m in d.get('data',[]) if 'sonnet' in m['id'].lower() or 'claude' in m['id'].lower()]; print('\\n'.join(sorted(ms)))\" 2>/dev/null || echo \"FETCH_FAILED_OR_AUTH_REQUIRED\"","description":"Fetch Claude model ids from AI Gateway models endpoint"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2027,"cache_creation_input_tokens":46227,"cache_read_input_tokens":0,"output_tokens":509,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":46227},"inference_geo":"not_available","iterations":[{"input_tokens":2027,"output_tokens":509,"cache_read_input_tokens":0,"cache_creation_input_tokens":46227,"cache_creation":{"ephemeral_5m_input_tokens":46227,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":{"cache_miss_reason":{"type":"tools_changed","cache_missed_input_tokens":18565}}},"requestId":"req_011CbpEsDYswYGZrsXahAFAk","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"12be8dc4-c91c-4196-b5cc-c25d3177f263","timestamp":"2026-06-07T16:47:26.857Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"12be8dc4-c91c-4196-b5cc-c25d3177f263","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017fZb6FGXDFt2V4EpD15koe","type":"tool_result","content":"anthropic/claude-3-haiku\nanthropic/claude-3.5-haiku\nanthropic/claude-haiku-4.5\nanthropic/claude-opus-4\nanthropic/claude-opus-4.1\nanthropic/claude-opus-4.5\nanthropic/claude-opus-4.6\nanthropic/claude-opus-4.7\nanthropic/claude-opus-4.8\nanthropic/claude-sonnet-4\nanthropic/claude-sonnet-4.5\nanthropic/claude-sonnet-4.6","is_error":false}]},"uuid":"75c430c3-5721-438e-b97f-811d91858e08","timestamp":"2026-06-07T16:47:27.180Z","sourceToolAssistantUUID":"12be8dc4-c91c-4196-b5cc-c25d3177f263","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"75c430c3-5721-438e-b97f-811d91858e08","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01XUF1yJtJYEqdroVJ79cvmn","type":"message","role":"assistant","content":[{"type":"text","text":"The gateway endpoint responded without auth. Confirmed: `anthropic/claude-sonnet-4.6` exists (dotted). Let me get the full metadata for that model and read the current code files."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3664,"cache_read_input_tokens":46227,"cache_creation":{"ephemeral_5m_input_tokens":3664,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEsji6Q7WwXeAWYXs6t","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"e5495a45-e2b4-403a-9586-fee9e5ccafc3","timestamp":"2026-06-07T16:47:31.010Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"e5495a45-e2b4-403a-9586-fee9e5ccafc3","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01XUF1yJtJYEqdroVJ79cvmn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EC5sMpLRwjCyLahkhauepC","name":"Bash","input":{"command":"curl -s https://ai-gateway.vercel.sh/v1/models 2>/dev/null | python3 -c \"\nimport sys,json\nd=json.load(sys.stdin)\nfor m in d.get('data',[]):\n    if m['id'] in ('anthropic/claude-sonnet-4.6','anthropic/claude-haiku-4.5'):\n        print(json.dumps(m, indent=2))\n        print('---')\n\"","description":"Get full metadata for Sonnet 4.6 and Haiku 4.5 from gateway"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3664,"cache_read_input_tokens":46227,"cache_creation":{"ephemeral_5m_input_tokens":3664,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEsji6Q7WwXeAWYXs6t","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"a7d1be3b-4d91-4b6d-900d-348561e12436","timestamp":"2026-06-07T16:47:33.410Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"a7d1be3b-4d91-4b6d-900d-348561e12436","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EC5sMpLRwjCyLahkhauepC","type":"tool_result","content":"{\n  \"id\": \"anthropic/claude-haiku-4.5\",\n  \"object\": \"model\",\n  \"created\": 1755815280,\n  \"released\": 1760486400,\n  \"owned_by\": \"anthropic\",\n  \"name\": \"Claude Haiku 4.5\",\n  \"description\": \"Claude Haiku 4.5 matches Sonnet 4's performance on coding, computer use, and agent tasks at substantially lower cost and faster speeds. It delivers near-frontier performance and Claude\\u2019s unique character at a price point that works for scaled sub-agent deployments, free tier products, and intelligence-sensitive applications with budget constraints.\",\n  \"context_window\": 200000,\n  \"max_tokens\": 64000,\n  \"type\": \"language\",\n  \"tags\": [\n    \"file-input\",\n    \"reasoning\",\n    \"tool-use\",\n    \"vision\",\n    \"explicit-caching\",\n    \"web-search\"\n  ],\n  \"pricing\": {\n    \"input\": \"0.000001\",\n    \"output\": \"0.000005\",\n    \"input_cache_read\": \"0.0000001\",\n    \"input_cache_write\": \"0.00000125\",\n    \"web_search\": \"10\"\n  }\n}\n---\n{\n  \"id\": \"anthropic/claude-sonnet-4.6\",\n  \"object\": \"model\",\n  \"created\": 1755815280,\n  \"released\": 1771286400,\n  \"owned_by\": \"anthropic\",\n  \"name\": \"Claude Sonnet 4.6\",\n  \"description\": \"Claude Sonnet 4.6 is the most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.\",\n  \"context_window\": 1000000,\n  \"max_tokens\": 128000,\n  \"type\": \"language\",\n  \"tags\": [\n    \"file-input\",\n    \"reasoning\",\n    \"tool-use\",\n    \"vision\",\n    \"explicit-caching\",\n    \"web-search\"\n  ],\n  \"pricing\": {\n    \"input\": \"0.000003\",\n    \"output\": \"0.000015\",\n    \"input_cache_read\": \"0.0000003\",\n    \"input_cache_write\": \"0.00000375\",\n    \"web_search\": \"10\"\n  }\n}\n---","is_error":false}]},"uuid":"1527b136-b024-41ba-b01e-3eb165749ad1","timestamp":"2026-06-07T16:47:33.652Z","sourceToolAssistantUUID":"a7d1be3b-4d91-4b6d-900d-348561e12436","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"1527b136-b024-41ba-b01e-3eb165749ad1","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01XUF1yJtJYEqdroVJ79cvmn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GEP6LMK6aYbpM2B5AgxCYS","name":"Read","input":{"file_path":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/lib/model.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3664,"cache_read_input_tokens":46227,"cache_creation":{"ephemeral_5m_input_tokens":3664,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEsji6Q7WwXeAWYXs6t","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"b080dfd0-18ea-42de-9838-35063bf2775f","timestamp":"2026-06-07T16:47:33.846Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"b080dfd0-18ea-42de-9838-35063bf2775f","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GEP6LMK6aYbpM2B5AgxCYS","type":"tool_result","content":"1\timport { createAnthropic } from \"@ai-sdk/anthropic\";\n2\timport type { LanguageModel } from \"ai\";\n3\t\n4\t/**\n5\t * Résolution du modèle Claude Haiku.\n6\t *\n7\t * Priorité :\n8\t *  1. Clé Anthropic directe explicite (`ANTHROPIC_API_KEY`) → provider direct.\n9\t *     Sert au POC en local (cf. brief) et permet d'outrepasser le gateway si\n10\t *     ce dernier n'est pas disponible (ex : carte bancaire requise).\n11\t *  2. Sinon, accès AI Gateway (OIDC en prod sur Vercel, ou `AI_GATEWAY_API_KEY`\n12\t *     en local) → string `provider/model` résolue par le gateway.\n13\t *\n14\t * En prod Vercel, `ANTHROPIC_API_KEY` est absent → le gateway est utilisé.\n15\t */\n16\tconst hasDirectKey = !!process.env.ANTHROPIC_API_KEY;\n17\tconst hasGateway =\n18\t  !!process.env.AI_GATEWAY_API_KEY || !!process.env.VERCEL_OIDC_TOKEN;\n19\t\n20\t// Vrai uniquement quand on passe réellement par le gateway (pilote le caching gateway).\n21\texport const usingGateway = !hasDirectKey && hasGateway;\n22\t\n23\texport function getModel(): LanguageModel {\n24\t  if (hasDirectKey) {\n25\t    const anthropic = createAnthropic({\n26\t      apiKey: process.env.ANTHROPIC_API_KEY,\n27\t    });\n28\t    return anthropic(\"claude-haiku-4-5\"); // id provider direct = tirets\n29\t  }\n30\t  // ⚠ id gateway = point (≠ id provider direct)\n31\t  return \"anthropic/claude-haiku-4.5\";\n32\t}\n33\t"}]},"uuid":"a96d8fc2-1563-4859-ad6c-bf0b5650f484","timestamp":"2026-06-07T16:47:33.874Z","sourceToolAssistantUUID":"b080dfd0-18ea-42de-9838-35063bf2775f","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"a96d8fc2-1563-4859-ad6c-bf0b5650f484","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01XUF1yJtJYEqdroVJ79cvmn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BrqugMhrhWeCqLLoWqEfJE","name":"Read","input":{"file_path":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/app/api/chat/route.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3664,"cache_read_input_tokens":46227,"cache_creation":{"ephemeral_5m_input_tokens":3664,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEsji6Q7WwXeAWYXs6t","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"79a5361e-7020-4d58-8956-82c67ad5c9fc","timestamp":"2026-06-07T16:47:34.822Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"79a5361e-7020-4d58-8956-82c67ad5c9fc","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BrqugMhrhWeCqLLoWqEfJE","type":"tool_result","content":"1\timport {\n2\t  convertToModelMessages,\n3\t  stepCountIs,\n4\t  streamText,\n5\t  type UIMessage,\n6\t} from \"ai\";\n7\timport { getModel, usingGateway } from \"@/lib/model\";\n8\timport { SYSTEM_PROMPT } from \"@/lib/system-prompt\";\n9\timport { rateLimit } from \"@/lib/rate-limit\";\n10\timport { suggestPage } from \"@/lib/tools/suggest-page\";\n11\timport { captureLead } from \"@/lib/tools/capture-lead\";\n12\timport { logUnanswered } from \"@/lib/tools/log-unanswered\";\n13\t\n14\texport const maxDuration = 30;\n15\t\n16\texport async function POST(req: Request) {\n17\t  // 1. Rate limit par IP (garde-fou POC)\n18\t  const ip =\n19\t    req.headers.get(\"x-forwarded-for\")?.split(\",\")[0]?.trim() ?? \"anon\";\n20\t  const { success } = await rateLimit(ip);\n21\t  if (!success) {\n22\t    return new Response(\n23\t      \"Trop de requêtes. Merci de patienter quelques instants.\",\n24\t      { status: 429 },\n25\t    );\n26\t  }\n27\t\n28\t  const {\n29\t    messages,\n30\t    originUrl,\n31\t  }: { messages: UIMessage[]; originUrl?: string } = await req.json();\n32\t\n33\t  const modelMessages = await convertToModelMessages(messages);\n34\t\n35\t  const result = streamText({\n36\t    model: getModel(),\n37\t    // Autorise les allers-retours d'outils, mais cappe la boucle.\n38\t    stopWhen: stepCountIs(5),\n39\t    messages: [\n40\t      {\n41\t        role: \"system\",\n42\t        content: SYSTEM_PROMPT,\n43\t        // Prompt caching de la base de connaissances (gros préfixe statique).\n44\t        providerOptions: { anthropic: { cacheControl: { type: \"ephemeral\" } } },\n45\t      },\n46\t      ...modelMessages,\n47\t    ],\n48\t    // Ceinture + bretelles : caching côté gateway quand on passe par lui.\n49\t    ...(usingGateway\n50\t      ? { providerOptions: { gateway: { caching: \"auto\" } } }\n51\t      : {}),\n52\t    tools: {\n53\t      suggest_page: suggestPage,\n54\t      capture_lead: captureLead(originUrl),\n55\t      log_unanswered: logUnanswered,\n56\t    },\n57\t  });\n58\t\n59\t  return result.toUIMessageStreamResponse();\n60\t}\n61\t"}]},"uuid":"e2ddfda8-8daf-47b4-af9c-30c8c9a8c428","timestamp":"2026-06-07T16:47:34.857Z","sourceToolAssistantUUID":"79a5361e-7020-4d58-8956-82c67ad5c9fc","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"e2ddfda8-8daf-47b4-af9c-30c8c9a8c428","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01XUF1yJtJYEqdroVJ79cvmn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FwNRaKZcwccEhgQvSugpx9","name":"Read","input":{"file_path":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/app/embed/Chat.tsx"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3664,"cache_read_input_tokens":46227,"output_tokens":574,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3664},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":574,"cache_read_input_tokens":46227,"cache_creation_input_tokens":3664,"cache_creation":{"ephemeral_5m_input_tokens":3664,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEsji6Q7WwXeAWYXs6t","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"8d646e3e-22c8-4f59-99f7-9a9775f9faad","timestamp":"2026-06-07T16:47:35.116Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"8d646e3e-22c8-4f59-99f7-9a9775f9faad","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FwNRaKZcwccEhgQvSugpx9","type":"tool_result","content":"1\t\"use client\";\n2\t\n3\timport { useChat } from \"@ai-sdk/react\";\n4\timport { DefaultChatTransport } from \"ai\";\n5\timport { useEffect, useRef, useState } from \"react\";\n6\t\n7\tconst TEAL = \"var(--covalba-teal)\";\n8\tconst NAVY = \"var(--covalba-navy)\";\n9\t\n10\tconst GREETING =\n11\t  \"Bonjour 👋 Je suis l'assistant Covalba, spécialiste du Cool Roof. \" +\n12\t  \"Posez-moi votre question sur nos solutions, la pose, les prix ou la prime CEE, \" +\n13\t  \"et je vous oriente vers la bonne page ou l'équipe.\";\n14\t\n15\texport function Chat({ originUrl }: { originUrl: string }) {\n16\t  const [input, setInput] = useState(\"\");\n17\t  const scrollRef = useRef<HTMLDivElement>(null);\n18\t\n19\t  const { messages, sendMessage, status } = useChat({\n20\t    transport: new DefaultChatTransport({\n21\t      api: \"/api/chat\",\n22\t      prepareSendMessagesRequest: ({ messages }) => ({\n23\t        body: { messages, originUrl },\n24\t      }),\n25\t    }),\n26\t  });\n27\t\n28\t  const busy = status === \"submitted\" || status === \"streaming\";\n29\t\n30\t  useEffect(() => {\n31\t    scrollRef.current?.scrollTo({\n32\t      top: scrollRef.current.scrollHeight,\n33\t      behavior: \"smooth\",\n34\t    });\n35\t  }, [messages, busy]);\n36\t\n37\t  function close() {\n38\t    window.parent?.postMessage({ type: \"covalba-chat-close\" }, \"*\");\n39\t  }\n40\t\n41\t  function onSubmit(e: React.FormEvent) {\n42\t    e.preventDefault();\n43\t    const text = input.trim();\n44\t    if (!text || busy) return;\n45\t    sendMessage({ text });\n46\t    setInput(\"\");\n47\t  }\n48\t\n49\t  return (\n50\t    <div style={S.root}>\n51\t      {/* En-tête */}\n52\t      <header style={S.header}>\n53\t        <div style={S.headerTitle}>\n54\t          <span style={S.dot} aria-hidden />\n55\t          <span>Assistant Covalba</span>\n56\t        </div>\n57\t        <button onClick={close} aria-label=\"Fermer\" style={S.closeBtn}>\n58\t          ✕\n59\t        </button>\n60\t      </header>\n61\t\n62\t      {/* Fil de discussion */}\n63\t      <div ref={scrollRef} style={S.thread}>\n64\t        <Bubble role=\"assistant\">\n65\t          <p style={S.p}>{GREETING}</p>\n66\t        </Bubble>\n67\t\n68\t        {messages.map((m) => (\n69\t          <Bubble key={m.id} role={m.role === \"user\" ? \"user\" : \"assistant\"}>\n70\t            {m.parts.map((part, i) => {\n71\t              if (part.type === \"text\") {\n72\t                return (\n73\t                  <p key={i} style={S.p}>\n74\t                    {part.text}\n75\t                  </p>\n76\t                );\n77\t              }\n78\t              if (\n79\t                part.type === \"tool-suggest_page\" &&\n80\t                part.state === \"output-available\"\n81\t              ) {\n82\t                const out = part.output as {\n83\t                  label: string;\n84\t                  url: string;\n85\t                  reason: string;\n86\t                };\n87\t                return (\n88\t                  <a\n89\t                    key={i}\n90\t                    href={out.url}\n91\t                    target=\"_top\"\n92\t                    rel=\"noopener noreferrer\"\n93\t                    style={S.pageCard}\n94\t                  >\n95\t                    <span style={S.pageCardLabel}>→ {out.label}</span>\n96\t                    <span style={S.pageCardReason}>{out.reason}</span>\n97\t                  </a>\n98\t                );\n99\t              }\n100\t              return null;\n101\t            })}\n102\t          </Bubble>\n103\t        ))}\n104\t\n105\t        {busy && (\n106\t          <Bubble role=\"assistant\">\n107\t            <span style={S.typing}>\n108\t              <i style={S.tdot} />\n109\t              <i style={{ ...S.tdot, animationDelay: \"0.15s\" }} />\n110\t              <i style={{ ...S.tdot, animationDelay: \"0.3s\" }} />\n111\t            </span>\n112\t          </Bubble>\n113\t        )}\n114\t      </div>\n115\t\n116\t      {/* Saisie */}\n117\t      <form onSubmit={onSubmit} style={S.form}>\n118\t        <input\n119\t          value={input}\n120\t          onChange={(e) => setInput(e.target.value)}\n121\t          placeholder=\"Posez votre question…\"\n122\t          style={S.input}\n123\t          autoFocus\n124\t        />\n125\t        <button type=\"submit\" disabled={busy || !input.trim()} style={S.send}>\n126\t          Envoyer\n127\t        </button>\n128\t      </form>\n129\t\n130\t      <style>{keyframes}</style>\n131\t    </div>\n132\t  );\n133\t}\n134\t\n135\tfunction Bubble({\n136\t  role,\n137\t  children,\n138\t}: {\n139\t  role: \"user\" | \"assistant\";\n140\t  children: React.ReactNode;\n141\t}) {\n142\t  const isUser = role === \"user\";\n143\t  return (\n144\t    <div style={{ ...S.row, justifyContent: isUser ? \"flex-end\" : \"flex-start\" }}>\n145\t      <div style={isUser ? S.userBubble : S.botBubble}>{children}</div>\n146\t    </div>\n147\t  );\n148\t}\n149\t\n150\tconst keyframes = `\n151\t@keyframes covalba-blink { 0%,80%,100% { opacity:0.2 } 40% { opacity:1 } }\n152\t`;\n153\t\n154\tconst S: Record<string, React.CSSProperties> = {\n155\t  root: {\n156\t    display: \"flex\",\n157\t    flexDirection: \"column\",\n158\t    height: \"100dvh\",\n159\t    background: \"#fff\",\n160\t  },\n161\t  header: {\n162\t    display: \"flex\",\n163\t    alignItems: \"center\",\n164\t    justifyContent: \"space-between\",\n165\t    padding: \"12px 16px\",\n166\t    background: NAVY,\n167\t    color: \"#fff\",\n168\t    flexShrink: 0,\n169\t  },\n170\t  headerTitle: {\n171\t    display: \"flex\",\n172\t    alignItems: \"center\",\n173\t    gap: 8,\n174\t    fontWeight: 600,\n175\t    fontSize: 15,\n176\t  },\n177\t  dot: {\n178\t    width: 8,\n179\t    height: 8,\n180\t    borderRadius: \"50%\",\n181\t    background: \"var(--covalba-teal-vivid)\",\n182\t    display: \"inline-block\",\n183\t  },\n184\t  closeBtn: {\n185\t    background: \"transparent\",\n186\t    border: \"none\",\n187\t    color: \"#fff\",\n188\t    fontSize: 16,\n189\t    cursor: \"pointer\",\n190\t    lineHeight: 1,\n191\t    padding: 4,\n192\t  },\n193\t  thread: {\n194\t    flex: 1,\n195\t    overflowY: \"auto\",\n196\t    padding: 16,\n197\t    display: \"flex\",\n198\t    flexDirection: \"column\",\n199\t    gap: 10,\n200\t    background: \"var(--covalba-cream)\",\n201\t  },\n202\t  row: { display: \"flex\" },\n203\t  botBubble: {\n204\t    maxWidth: \"85%\",\n205\t    background: \"#fff\",\n206\t    border: \"1px solid var(--covalba-border)\",\n207\t    borderRadius: \"14px 14px 14px 4px\",\n208\t    padding: \"10px 12px\",\n209\t    fontSize: 14,\n210\t    lineHeight: 1.5,\n211\t  },\n212\t  userBubble: {\n213\t    maxWidth: \"85%\",\n214\t    background: TEAL,\n215\t    color: \"#fff\",\n216\t    borderRadius: \"14px 14px 4px 14px\",\n217\t    padding: \"10px 12px\",\n218\t    fontSize: 14,\n219\t    lineHeight: 1.5,\n220\t  },\n221\t  p: { margin: \"4px 0\" },\n222\t  pageCard: {\n223\t    display: \"block\",\n224\t    marginTop: 8,\n225\t    padding: \"10px 12px\",\n226\t    border: `1px solid ${TEAL}`,\n227\t    borderRadius: 10,\n228\t    textDecoration: \"none\",\n229\t    background: \"var(--covalba-teal-light, #eef6f6)\",\n230\t  },\n231\t  pageCardLabel: {\n232\t    display: \"block\",\n233\t    fontWeight: 600,\n234\t    color: TEAL,\n235\t    fontSize: 14,\n236\t  },\n237\t  pageCardReason: {\n238\t    display: \"block\",\n239\t    fontSize: 12.5,\n240\t    color: \"var(--covalba-muted)\",\n241\t    marginTop: 2,\n242\t  },\n243\t  typing: { display: \"inline-flex\", gap: 4, padding: \"2px 0\" },\n244\t  tdot: {\n245\t    width: 6,\n246\t    height: 6,\n247\t    borderRadius: \"50%\",\n248\t    background: \"var(--covalba-muted)\",\n249\t    display: \"inline-block\",\n250\t    animation: \"covalba-blink 1.2s infinite\",\n251\t  },\n252\t  form: {\n253\t    display: \"flex\",\n254\t    gap: 8,\n255\t    padding: 12,\n256\t    borderTop: \"1px solid var(--covalba-border)\",\n257\t    background: \"#fff\",\n258\t    flexShrink: 0,\n259\t  },\n260\t  input: {\n261\t    flex: 1,\n262\t    border: \"1px solid var(--covalba-border)\",\n263\t    borderRadius: 10,\n264\t    padding: \"10px 12px\",\n265\t    fontSize: 14,\n266\t    outline: \"none\",\n267\t    fontFamily: \"inherit\",\n268\t  },\n269\t  send: {\n270\t    border: \"none\",\n271\t    borderRadius: 10,\n272\t    padding: \"0 16px\",\n273\t    background: TEAL,\n274\t    color: \"#fff\",\n275\t    fontWeight: 600,\n276\t    fontSize: 14,\n277\t    cursor: \"pointer\",\n278\t  },\n279\t};\n280\t"}]},"uuid":"c862f7a8-4f92-46cb-8e34-1937dfa5ead3","timestamp":"2026-06-07T16:47:35.148Z","sourceToolAssistantUUID":"8d646e3e-22c8-4f59-99f7-9a9775f9faad","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"c862f7a8-4f92-46cb-8e34-1937dfa5ead3","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01RLnEA6pA3t4VwahJiQ9LEv","type":"message","role":"assistant","content":[{"type":"text","text":"Excellent. Now I have the live gateway data and the current code. The existing pattern already does exactly what the user wants (direct provider hyphenated id `claude-haiku-4-5`, gateway dotted `claude-haiku-4.5`). Let me verify the package versions, the direct Anthropic provider id for Sonnet 4.6, and research streamdown vs react-markdown."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":6420,"cache_read_input_tokens":49891,"cache_creation":{"ephemeral_5m_input_tokens":6420,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEtL93FosqsD8S98tkc","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"1390cf18-c1ba-4cdc-9ff6-d339e10a34ee","timestamp":"2026-06-07T16:47:39.122Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"1390cf18-c1ba-4cdc-9ff6-d339e10a34ee","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01RLnEA6pA3t4VwahJiQ9LEv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0132f1E9tbghuGtXNw49qmJ7","name":"Bash","input":{"command":"cat /opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/package.json | python3 -c \"import sys,json; d=json.load(sys.stdin); print(json.dumps({**d.get('dependencies',{}),**d.get('devDependencies',{})}, indent=2))\"","description":"Show installed dependency versions"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":6420,"cache_read_input_tokens":49891,"cache_creation":{"ephemeral_5m_input_tokens":6420,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEtL93FosqsD8S98tkc","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"92cdb701-ac88-4d5e-a8a1-8bc53eeadb10","timestamp":"2026-06-07T16:47:41.010Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"92cdb701-ac88-4d5e-a8a1-8bc53eeadb10","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0132f1E9tbghuGtXNw49qmJ7","type":"tool_result","content":"{\n  \"@ai-sdk/anthropic\": \"3.0.70\",\n  \"@ai-sdk/react\": \"^3.0.161\",\n  \"@upstash/ratelimit\": \"^2.0.8\",\n  \"@upstash/redis\": \"^1.38.0\",\n  \"ai\": \"^6.0.159\",\n  \"next\": \"^16.2.6\",\n  \"react\": \"^19.2.0\",\n  \"react-dom\": \"^19.2.0\",\n  \"resend\": \"^6.12.3\",\n  \"zod\": \"^4.4.3\",\n  \"@types/node\": \"^22.10.0\",\n  \"@types/react\": \"^19.2.0\",\n  \"@types/react-dom\": \"^19.2.0\",\n  \"typescript\": \"^5.7.0\"\n}","is_error":false}]},"uuid":"7524d090-3300-4db2-ae62-3f8edebaa787","timestamp":"2026-06-07T16:47:41.163Z","sourceToolAssistantUUID":"92cdb701-ac88-4d5e-a8a1-8bc53eeadb10","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"7524d090-3300-4db2-ae62-3f8edebaa787","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01RLnEA6pA3t4VwahJiQ9LEv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013MG5KdESag7YWZdB69Ah5y","name":"Read","input":{"file_path":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot/lib/tools/suggest-page.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":6420,"cache_read_input_tokens":49891,"cache_creation":{"ephemeral_5m_input_tokens":6420,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEtL93FosqsD8S98tkc","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"4a01a5fd-203f-4191-a995-81a48fa81543","timestamp":"2026-06-07T16:47:41.457Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"4a01a5fd-203f-4191-a995-81a48fa81543","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013MG5KdESag7YWZdB69Ah5y","type":"tool_result","content":"1\timport { tool } from \"ai\";\n2\timport { z } from \"zod\";\n3\timport { ROUTE_KEYS, resolveRoute } from \"./routes\";\n4\t\n5\t/**\n6\t * Oriente l'utilisateur vers UNE page pertinente du site Covalba.\n7\t * Le bot ne calcule jamais le CEE / l'estimation lui-même : il redirige\n8\t * vers la page dédiée.\n9\t */\n10\texport const suggestPage = tool({\n11\t  description:\n12\t    \"Suggère UNE page du site Covalba la plus pertinente pour l'intention de l'utilisateur. \" +\n13\t    \"À utiliser dès que l'utilisateur cherche une info qui vit sur une page dédiée \" +\n14\t    \"(fiche produit, secteur, simulateur d'économies, estimation, prime CEE, contact, devenir applicateur…). \" +\n15\t    \"Le calcul CEE et l'estimation ne sont PAS faits par toi : redirige vers la page concernée.\",\n16\t  inputSchema: z.object({\n17\t    intent: z\n18\t      .enum(ROUTE_KEYS)\n19\t      .describe(\"La clé de la page la plus pertinente à proposer.\"),\n20\t    reason: z\n21\t      .string()\n22\t      .describe(\n23\t        \"Phrase courte (FR) expliquant pourquoi cette page aide l'utilisateur.\",\n24\t      ),\n25\t  }),\n26\t  execute: async ({ intent, reason }) => {\n27\t    const { label, url } = resolveRoute(intent);\n28\t    return { label, url, reason };\n29\t  },\n30\t});\n31\t"}]},"uuid":"e4761061-8e59-4aaf-85d9-607a4fa1e32a","timestamp":"2026-06-07T16:47:41.499Z","sourceToolAssistantUUID":"4a01a5fd-203f-4191-a995-81a48fa81543","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"e4761061-8e59-4aaf-85d9-607a4fa1e32a","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01RLnEA6pA3t4VwahJiQ9LEv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SDTLydgtJVmDuQjS8LViY7","name":"WebFetch","input":{"url":"https://www.npmjs.com/package/streamdown","prompt":"What is the latest version of streamdown? Does it require Tailwind CSS v4? What are its peer dependencies (react, tailwind)? How is it installed and what CSS/Tailwind setup does it require? Does it work without Tailwind? Quote any mention of tailwind config, globals.css, or @source directives."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":6420,"cache_read_input_tokens":49891,"output_tokens":590,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":6420},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":590,"cache_read_input_tokens":49891,"cache_creation_input_tokens":6420,"cache_creation":{"ephemeral_5m_input_tokens":6420,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEtL93FosqsD8S98tkc","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"41d2952f-2879-4a10-8c4d-ab21ad9ba711","timestamp":"2026-06-07T16:47:43.356Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"41d2952f-2879-4a10-8c4d-ab21ad9ba711","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SDTLydgtJVmDuQjS8LViY7","type":"tool_result","content":"The server returned HTTP 403 Forbidden.\n\nThe response body was not retrieved. If this URL requires authentication, use an authenticated tool (e.g. `gh` for GitHub, or an MCP-provided fetch tool) instead of WebFetch."}]},"uuid":"0fa9cb02-842f-45b0-953b-c6dc06ea27b6","timestamp":"2026-06-07T16:47:43.533Z","sourceToolAssistantUUID":"41d2952f-2879-4a10-8c4d-ab21ad9ba711","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"0fa9cb02-842f-45b0-953b-c6dc06ea27b6","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01UMvXa27xXWHDf5WSuRCCMk","type":"message","role":"assistant","content":[{"type":"text","text":"npm blocked WebFetch. Let me get streamdown's package metadata from the npm registry API directly, and verify the direct Anthropic provider model id via the Vercel docs and Anthropic models list."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1674,"cache_read_input_tokens":56311,"cache_creation":{"ephemeral_5m_input_tokens":1674,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEtxRr9oT7V9AGRBTxh","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"2f2408b0-e6f5-40e7-858c-4631c92a3d5b","timestamp":"2026-06-07T16:47:46.758Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"2f2408b0-e6f5-40e7-858c-4631c92a3d5b","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01UMvXa27xXWHDf5WSuRCCMk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01T63dcxqsstZKEkAqZ2cZ1X","name":"Bash","input":{"command":"curl -s https://registry.npmjs.org/streamdown/latest 2>/dev/null | python3 -c \"\nimport sys,json\nd=json.load(sys.stdin)\nprint('version:', d.get('version'))\nprint('peerDependencies:', json.dumps(d.get('peerDependencies',{}), indent=2))\nprint('dependencies:', json.dumps(d.get('dependencies',{}), indent=2))\nprint('--- description ---')\nprint(d.get('description'))\n\"","description":"Fetch streamdown package metadata from npm registry"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1674,"cache_read_input_tokens":56311,"cache_creation":{"ephemeral_5m_input_tokens":1674,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEtxRr9oT7V9AGRBTxh","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"667136f9-d6ad-4d41-8723-8e7c3391a8df","timestamp":"2026-06-07T16:47:49.115Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"667136f9-d6ad-4d41-8723-8e7c3391a8df","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T63dcxqsstZKEkAqZ2cZ1X","type":"tool_result","content":"version: 2.5.0\npeerDependencies: {\n  \"react\": \"^18.0.0 || ^19.0.0\",\n  \"react-dom\": \"^18.0.0 || ^19.0.0\"\n}\ndependencies: {\n  \"clsx\": \"^2.1.1\",\n  \"marked\": \"^17.0.1\",\n  \"remend\": \"1.3.0\",\n  \"mermaid\": \"^11.12.2\",\n  \"unified\": \"^11.0.5\",\n  \"rehype-raw\": \"^7.0.0\",\n  \"remark-gfm\": \"^4.0.1\",\n  \"remark-parse\": \"^11.0.0\",\n  \"rehype-harden\": \"^1.1.8\",\n  \"remark-rehype\": \"^11.1.2\",\n  \"tailwind-merge\": \"^3.4.0\",\n  \"rehype-sanitize\": \"^6.0.0\",\n  \"unist-util-visit\": \"^5.0.0\",\n  \"html-url-attributes\": \"^3.0.1\",\n  \"hast-util-to-jsx-runtime\": \"^2.3.6\",\n  \"unist-util-visit-parents\": \"^6.0.0\"\n}\n--- description ---\nA drop-in replacement for react-markdown, designed for AI-powered streaming.","is_error":false}]},"uuid":"4121dca6-091e-4915-a196-c4e8055db85c","timestamp":"2026-06-07T16:47:49.512Z","sourceToolAssistantUUID":"667136f9-d6ad-4d41-8723-8e7c3391a8df","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"4121dca6-091e-4915-a196-c4e8055db85c","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01UMvXa27xXWHDf5WSuRCCMk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011e47MBUpAJENoPuECy3e4f","name":"Bash","input":{"command":"echo \"=== react-markdown ===\"; curl -s https://registry.npmjs.org/react-markdown/latest 2>/dev/null | python3 -c \"import sys,json; d=json.load(sys.stdin); print('version:',d.get('version')); print('peer:',json.dumps(d.get('peerDependencies',{})))\"\necho \"=== remark-gfm ===\"; curl -s https://registry.npmjs.org/remark-gfm/latest 2>/dev/null | python3 -c \"import sys,json; d=json.load(sys.stdin); print('version:',d.get('version'))\"","description":"Fetch react-markdown and remark-gfm versions"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1674,"cache_read_input_tokens":56311,"cache_creation":{"ephemeral_5m_input_tokens":1674,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEtxRr9oT7V9AGRBTxh","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"59e1c725-7eed-4542-9368-6e7f7ef2734a","timestamp":"2026-06-07T16:47:50.999Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"59e1c725-7eed-4542-9368-6e7f7ef2734a","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011e47MBUpAJENoPuECy3e4f","type":"tool_result","content":"=== react-markdown ===\nversion: 10.1.0\npeer: {\"@types/react\": \">=18\", \"react\": \">=18\"}\n=== remark-gfm ===\nversion: 4.0.1","is_error":false}]},"uuid":"7bed6f96-a22d-489a-b1ab-14e6af553cf5","timestamp":"2026-06-07T16:47:51.712Z","sourceToolAssistantUUID":"59e1c725-7eed-4542-9368-6e7f7ef2734a","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"7bed6f96-a22d-489a-b1ab-14e6af553cf5","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01UMvXa27xXWHDf5WSuRCCMk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017GdRs3jHCkmaFPWTA7VwAQ","name":"WebFetch","input":{"url":"https://ai-sdk.dev/providers/ai-sdk-providers/anthropic","prompt":"List the exact model id strings supported by the @ai-sdk/anthropic provider's anthropic() function. Specifically is there a claude-sonnet-4-6 or claude-sonnet-4-5 model id? Quote the exact model id strings shown for Sonnet 4.x models."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1674,"cache_read_input_tokens":56311,"output_tokens":779,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1674},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":779,"cache_read_input_tokens":56311,"cache_creation_input_tokens":1674,"cache_creation":{"ephemeral_5m_input_tokens":1674,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEtxRr9oT7V9AGRBTxh","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"5fdd755a-b401-4e44-85a0-d8fd202aa86b","timestamp":"2026-06-07T16:47:52.919Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"5fdd755a-b401-4e44-85a0-d8fd202aa86b","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017GdRs3jHCkmaFPWTA7VwAQ","type":"tool_result","content":"Based on the documentation provided, the exact model ID strings shown for Sonnet 4.x models are:\n\n- `claude-sonnet-4-6`\n- `claude-sonnet-4-5`\n- `claude-sonnet-4-0`\n\nThese appear in the model capabilities table and throughout the documentation examples. The provider supports these models via the `anthropic()` function, though \"the table above lists popular models. Please see the Anthropic docs for a full list of available models.\""}]},"uuid":"3ec383ad-9f68-4ed5-882c-00e1ec2c89ed","timestamp":"2026-06-07T16:47:56.094Z","sourceToolAssistantUUID":"5fdd755a-b401-4e44-85a0-d8fd202aa86b","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"3ec383ad-9f68-4ed5-882c-00e1ec2c89ed","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01Dw4qLaW42f4AfAHERMjAoY","type":"message","role":"assistant","content":[{"type":"text","text":"All confirmed. Key findings on streamdown: peerDependencies do NOT list tailwind (only react/react-dom), and `tailwind-merge` is a dependency — but the styling story still assumes Tailwind utility classes. Let me verify streamdown's actual styling requirement (does it ship classnames needing Tailwind?) and check the AI SDK v6 multi-tool / suggestion-chip patterns via Vercel docs."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1469,"cache_read_input_tokens":57985,"cache_creation":{"ephemeral_5m_input_tokens":1469,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEusKJRnxHwF5U9hwpC","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"45de5933-4eda-474c-9392-bc1cacbdc948","timestamp":"2026-06-07T16:48:02.282Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"45de5933-4eda-474c-9392-bc1cacbdc948","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01Dw4qLaW42f4AfAHERMjAoY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CujPDUtW1QZhnw3zSz7TQ6","name":"WebFetch","input":{"url":"https://streamdown.ai","prompt":"Does streamdown require Tailwind CSS v4 to be styled correctly? What does the installation guide say about adding a @source directive to globals.css or tailwind config? Can it be used without Tailwind, and if so do the markdown elements come unstyled? Quote the exact installation/styling instructions including any tailwind.config or globals.css @source line."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1469,"cache_read_input_tokens":57985,"cache_creation":{"ephemeral_5m_input_tokens":1469,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEusKJRnxHwF5U9hwpC","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"dff1d368-94bd-47ea-947e-78530f73e13c","timestamp":"2026-06-07T16:48:04.606Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"dff1d368-94bd-47ea-947e-78530f73e13c","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01Dw4qLaW42f4AfAHERMjAoY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SAs5NE5wJZReCax3rPHwva","name":"WebFetch","input":{"url":"https://www.npmjs.com/package/react-markdown","prompt":"How do you pass custom component renderers via the components prop in react-markdown v10? How do you customize the rendering of anchor (a) tags to add a target attribute? Show the components prop API shape."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1469,"cache_read_input_tokens":57985,"output_tokens":483,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1469},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":483,"cache_read_input_tokens":57985,"cache_creation_input_tokens":1469,"cache_creation":{"ephemeral_5m_input_tokens":1469,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEusKJRnxHwF5U9hwpC","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"884ca090-c668-4081-8be4-a0be257c93c6","timestamp":"2026-06-07T16:48:05.924Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"884ca090-c668-4081-8be4-a0be257c93c6","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SAs5NE5wJZReCax3rPHwva","type":"tool_result","content":"The server returned HTTP 403 Forbidden.\n\nThe response body was not retrieved. If this URL requires authentication, use an authenticated tool (e.g. `gh` for GitHub, or an MCP-provided fetch tool) instead of WebFetch."}]},"uuid":"6b271b89-bda9-4e11-9535-027c41d2b619","timestamp":"2026-06-07T16:48:05.955Z","sourceToolAssistantUUID":"884ca090-c668-4081-8be4-a0be257c93c6","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"dff1d368-94bd-47ea-947e-78530f73e13c","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CujPDUtW1QZhnw3zSz7TQ6","type":"tool_result","content":"Based on the webpage content provided, I cannot find specific information about:\n\n- Whether Streamdown requires Tailwind CSS v4\n- Installation guide details about `@source` directives in globals.css or tailwind.config\n- Whether it can be used without Tailwind\n- Exact styling instructions or configuration examples\n\nThe page mentions that Streamdown has \"Built-in [Tailwind typography](/en/docs/typography)\" and is \"Fully customizable\" with the ability to \"apply your own [styles](/en/docs/styling),\" but the actual installation and configuration instructions are not included in this webpage excerpt.\n\nTo get the specific details you're asking about, you would need to visit the full documentation, particularly the Getting Started and Styling sections linked in the navigation."}]},"uuid":"faaf4d9b-3510-4801-a700-3165c89081c0","timestamp":"2026-06-07T16:48:08.229Z","sourceToolAssistantUUID":"dff1d368-94bd-47ea-947e-78530f73e13c","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"faaf4d9b-3510-4801-a700-3165c89081c0","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01UxnXgPo4eBpfa8ZsEHN8Yk","type":"message","role":"assistant","content":[{"type":"text","text":"Let me get the streamdown styling/getting-started docs and the AI SDK v6 chatbot tool-usage docs."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":244,"cache_creation_input_tokens":760,"cache_read_input_tokens":59454,"cache_creation":{"ephemeral_5m_input_tokens":760,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEvmByqmHtZ8NPNnRZa","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"b3606436-5da5-46fe-b02b-0fe7a077e32a","timestamp":"2026-06-07T16:48:15.564Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"b3606436-5da5-46fe-b02b-0fe7a077e32a","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01UxnXgPo4eBpfa8ZsEHN8Yk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015WuXBarSEXAfKCsP9MpFTX","name":"WebFetch","input":{"url":"https://streamdown.ai/en/docs/styling","prompt":"Does streamdown require Tailwind CSS? Quote the exact styling instructions, including any tailwind.config @source line or globals.css @source directive that must be added so streamdown styles work. What happens if Tailwind is not present?"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":244,"cache_creation_input_tokens":760,"cache_read_input_tokens":59454,"cache_creation":{"ephemeral_5m_input_tokens":760,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEvmByqmHtZ8NPNnRZa","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"183f27c1-5db0-4092-b1a1-6fb290daef1c","timestamp":"2026-06-07T16:48:16.952Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"183f27c1-5db0-4092-b1a1-6fb290daef1c","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01UxnXgPo4eBpfa8ZsEHN8Yk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ReqgUGvsN1nmN4fHY6c8Gz","name":"WebFetch","input":{"url":"https://streamdown.ai/en/docs","prompt":"Quote the Getting Started / installation instructions for streamdown verbatim, especially any step about adding \"@source\" to globals.css or tailwind config, and any statement that Tailwind v4 is required."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":244,"cache_creation_input_tokens":760,"cache_read_input_tokens":59454,"output_tokens":347,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":760},"inference_geo":"not_available","iterations":[{"input_tokens":244,"output_tokens":347,"cache_read_input_tokens":59454,"cache_creation_input_tokens":760,"cache_creation":{"ephemeral_5m_input_tokens":760,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEvmByqmHtZ8NPNnRZa","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"bf3facce-9897-4116-b1dc-f0cc5070da91","timestamp":"2026-06-07T16:48:18.074Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"bf3facce-9897-4116-b1dc-f0cc5070da91","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ReqgUGvsN1nmN4fHY6c8Gz","type":"tool_result","content":"I don't have access to the Getting Started or installation instructions for Streamdown in the content provided. The web page excerpt you shared contains only the Introduction section, which discusses the problem with streaming Markdown and Streamdown's solution approach.\n\nTo provide the installation instructions you're requesting—particularly details about adding \"@source\" to globals.css or tailwind config, and any Tailwind v4 requirements—I would need the actual Getting Started page content, which isn't included in your material.\n\nI recommend visiting the [Getting Started](/docs/getting-started) link referenced in the navigation to access those specific installation details."}]},"uuid":"523eaa6b-288f-47a4-ba72-ac7cfe6424db","timestamp":"2026-06-07T16:48:20.585Z","sourceToolAssistantUUID":"bf3facce-9897-4116-b1dc-f0cc5070da91","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"183f27c1-5db0-4092-b1a1-6fb290daef1c","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015WuXBarSEXAfKCsP9MpFTX","type":"tool_result","content":"# Streamdown and Tailwind CSS Requirement\n\nBased on the provided documentation, **Streamdown does not require Tailwind CSS**. The guide makes no mention of Tailwind being a prerequisite for basic functionality.\n\n## Styling Instructions\n\nThe primary styling mechanism uses **CSS variables**, with this setup instruction:\n\n> \"Add or modify the CSS variables in your `globals.css` file\"\n\nThe documentation provides complete variable definitions for both light and dark modes in a standard `@layer base` block, with no mandatory Tailwind directives mentioned.\n\n## Tailwind Integration (Optional)\n\nStreamdown only references Tailwind in an **optional integration section**:\n\n> \"If your project uses Tailwind v4's `prefix()` feature to namespace utility classes, pass the same prefix to Streamdown\"\n\nThis shows Tailwind support is available but not required.\n\n## What Happens Without Tailwind\n\nThe documentation does not explicitly address what occurs if Tailwind is absent. However, since styling relies on CSS variables and standard CSS selectors via `data-streamdown` attributes, Streamdown should function without Tailwind present—users simply wouldn't access the optional `prefix` prop or Tailwind-specific integration features."}]},"uuid":"6b600b8e-b640-4475-9a6f-c73b2b59f6be","timestamp":"2026-06-07T16:48:21.179Z","sourceToolAssistantUUID":"183f27c1-5db0-4092-b1a1-6fb290daef1c","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"6b600b8e-b640-4475-9a6f-c73b2b59f6be","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_013GVXLyoTixckQmKa9wxPEy","type":"message","role":"assistant","content":[{"type":"text","text":"The styling docs report is ambiguous (one fetch says CSS-variable based, the README markdown classes still ship). The reality from npm metadata: streamdown's components are styled with Tailwind utility classnames internally (that's why `tailwind-merge` is a dependency and the docs reference Tailwind typography). Let me confirm by inspecting the actual published source, and get the AI SDK v6 tool/chip docs."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":227,"cache_creation_input_tokens":1031,"cache_read_input_tokens":60214,"cache_creation":{"ephemeral_5m_input_tokens":1031,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwiWmwERARebqjZodo","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"e985a81d-5aae-41d4-a24c-8a156fc74e84","timestamp":"2026-06-07T16:48:25.274Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"e985a81d-5aae-41d4-a24c-8a156fc74e84","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_013GVXLyoTixckQmKa9wxPEy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PZrZtcwCEtgvTWYpBYCCw3","name":"Bash","input":{"command":"cd /tmp && rm -rf sd-check && mkdir sd-check && cd sd-check && curl -s https://registry.npmjs.org/streamdown/2.5.0 2>/dev/null | python3 -c \"import sys,json; d=json.load(sys.stdin); print(d['dist']['tarball'])\" | xargs curl -s -o sd.tgz && tar xzf sd.tgz 2>/dev/null && echo \"=== grep for tailwind utility classnames in dist ===\" && grep -ro 'className' package/dist 2>/dev/null | head -1 && echo \"--- sample classnames (look for prose/ utility classes) ---\" && grep -rohE 'className:\\s*\"[^\"]{10,120}\"' package/dist 2>/dev/null | head -8 && echo \"--- does it reference 'prose' or 'size-' or 'mt-' tailwind utilities? ---\" && grep -roE '\\b(prose|mt-[0-9]|mb-[0-9]|size-[0-9]|text-sm|gap-[0-9]|flex |rounded-)' package/dist 2>/dev/null | sort | uniq -c | sort -rn | head -15","description":"Inspect streamdown published dist for tailwind utility classnames"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":227,"cache_creation_input_tokens":1031,"cache_read_input_tokens":60214,"cache_creation":{"ephemeral_5m_input_tokens":1031,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpEwiWmwERARebqjZodo","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"60edc545-ea2a-4bd0-835c-9c2356b39c8d","timestamp":"2026-06-07T16:48:30.460Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"60edc545-ea2a-4bd0-835c-9c2356b39c8d","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PZrZtcwCEtgvTWYpBYCCw3","type":"tool_result","content":"=== grep for tailwind utility classnames in dist ===\npackage/dist/highlighted-body-OFNGDK62.js:className\n--- sample classnames (look for prose/ utility classes) ---\n--- does it reference 'prose' or 'size-' or 'mt-' tailwind utilities? ---\n     34 package/dist/chunk-BO2N2NFS.js:flex \n     25 package/dist/chunk-BO2N2NFS.js:rounded-\n     21 package/dist/chunk-BO2N2NFS.js:text-sm\n     10 package/dist/chunk-BO2N2NFS.js:gap-2\n      6 package/dist/chunk-BO2N2NFS.js:mt-6\n      6 package/dist/chunk-BO2N2NFS.js:mb-2\n      5 package/dist/chunk-BO2N2NFS.js:mt-1\n      3 package/dist/chunk-BO2N2NFS.js:gap-1\n      2 package/dist/index.d.ts:prose\n      2 package/dist/chunk-BO2N2NFS.js:mt-2\n      2 package/dist/chunk-BO2N2NFS.js:mt-0\n      2 package/dist/chunk-BO2N2NFS.js:mb-0\n      1 package/dist/chunk-BO2N2NFS.js:size-4\n      1 package/dist/chunk-BO2N2NFS.js:gap-4","is_error":false}]},"uuid":"b2c43971-666f-4d28-b1ca-1b0df442103d","timestamp":"2026-06-07T16:48:30.992Z","sourceToolAssistantUUID":"60edc545-ea2a-4bd0-835c-9c2356b39c8d","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"b2c43971-666f-4d28-b1ca-1b0df442103d","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_013GVXLyoTixckQmKa9wxPEy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016dcRcvQxLHrhbgYnpS1yPq","name":"WebFetch","input":{"url":"https://ai-sdk.dev/docs/ai-sdk-ui/chatbot-tool-usage","prompt":"In AI SDK v6 useChat, how are tool result parts rendered? Confirm the part.type is \"tool-NAME\", the states are input-streaming/input-available/output-available, and that part.output holds the tool execute() return value. Also: when a tool has an execute function on the server, are its results streamed back automatically and the conversation continued? Quote the relevant code example for rendering a tool part with output-available."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":227,"cache_creation_input_tokens":1031,"cache_read_input_tokens":60214,"output_tokens":852,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1031},"inference_geo":"not_available","iterations":[{"input_tokens":227,"output_tokens":852,"cache_read_input_tokens":60214,"cache_creation_input_tokens":1031,"cache_creation":{"ephemeral_5m_input_tokens":1031,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEwiWmwERARebqjZodo","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"b8449c65-a507-4562-bbf2-188e1c4ebf46","timestamp":"2026-06-07T16:48:33.196Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"b8449c65-a507-4562-bbf2-188e1c4ebf46","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016dcRcvQxLHrhbgYnpS1yPq","type":"tool_result","content":"# Tool Result Rendering in AI SDK v6 useChat\n\n**Part Type & States:**\nYou're correct. Tool result parts use the format `\"tool-${toolName}\"` with states including `'input-streaming'`, `'input-available'`, and `'output-available'`. The `part.output` property contains the return value from the tool's `execute()` function.\n\n**Server-Side Tool Execution:**\nYes, when a tool includes an `execute` function on the server, results are automatically streamed back. The documentation states: \"Server-side tools are executed using their `execute` method and their results are forwarded to the client.\"\n\n**Relevant Code Example:**\nHere's the rendering pattern for a tool part with available output:\n\n```typescript\ncase 'output-available':\n  return (\n    <div key={callId}>\n      \"Weather in {part.input.city}: {part.output}\"\n    </div>\n  );\n```\n\nThis shows accessing `part.input` (the tool parameters) and `part.output` (the execution result) when the state reaches `'output-available'`. The conversation automatically continues via `sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls`, which submits when all tool results are available."}]},"uuid":"b5d29e0d-5399-42b1-8c21-330a1b7ff9c8","timestamp":"2026-06-07T16:48:37.794Z","sourceToolAssistantUUID":"b8449c65-a507-4562-bbf2-188e1c4ebf46","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"b5d29e0d-5399-42b1-8c21-330a1b7ff9c8","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01CmELqAcsbXHmHQQUMBTEVg","type":"message","role":"assistant","content":[{"type":"text","text":"This is the decisive finding: **streamdown's published dist styles every markdown element with raw Tailwind utility classnames** (`flex`, `rounded-`, `text-sm`, `mt-6`, `mb-2`, `gap-2`, `prose`, etc.). Without a Tailwind build that emits those utilities, all of those classnames are dead strings and the markdown renders unstyled. That confirms streamdown is the wrong choice for this no-Tailwind project.\n\nI now have everything verified. Let me do one final check on the multi-step ordering gotcha (text + tool in same turn with `stepCountIs`) to give a precise answer for question 4."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2003,"cache_read_input_tokens":61245,"cache_creation":{"ephemeral_5m_input_tokens":2003,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CbpExwfpb2pNPi6ahDqBi","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"af9d9246-8169-4342-931b-d3dd85225520","timestamp":"2026-06-07T16:48:47.680Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"af9d9246-8169-4342-931b-d3dd85225520","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01CmELqAcsbXHmHQQUMBTEVg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WnsWTz3KAjeR7KkHVLpUKH","name":"WebFetch","input":{"url":"https://ai-sdk.dev/docs/foundations/agents","prompt":"In AI SDK v6, with stopWhen: stepCountIs(N) and streamText with multiple tools, can the model emit text AND call tools in the same step/turn? After a tool with execute returns, does the model get another step to produce a final text answer? Explain the multi-step loop ordering: does reaching the step count limit cut off a final text response? Quote anything about stopWhen and the last step."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2003,"cache_read_input_tokens":61245,"output_tokens":434,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2003},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":434,"cache_read_input_tokens":61245,"cache_creation_input_tokens":2003,"cache_creation":{"ephemeral_5m_input_tokens":2003,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpExwfpb2pNPi6ahDqBi","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"11c1d858-b5ca-4646-977c-9d065e74b45f","timestamp":"2026-06-07T16:48:49.731Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"11c1d858-b5ca-4646-977c-9d065e74b45f","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WnsWTz3KAjeR7KkHVLpUKH","type":"tool_result","content":"# AI SDK Agent Step Behavior with stopWhen\n\nBased on the provided documentation, I cannot find specific details addressing your questions about:\n\n1. Whether models can emit text AND call tools in the same step with `stopWhen: stepCountIs(N)`\n2. Whether the model receives an additional step after tool execution for final text generation\n3. How step count limits interact with final text responses\n\nThe overview explains that **\"The ToolLoopAgent handles the loop, context management, and stopping conditions.\"** However, the documentation excerpt doesn't contain the detailed step-by-step execution mechanics or `stopWhen` behavior you're asking about.\n\nThe page references \"[Loop Control](/docs/agents/loop-control) - Execution control with stopWhen and prepareStep\" as the next step for learning these specifics. You'll need to consult that dedicated section to understand:\n\n- Precise step ordering during multi-turn agent loops\n- How `stopWhen` conditions terminate execution mid-step vs. between steps\n- Whether text generation and tool calling can coexist in a single step\n- Whether step limits prevent final response generation\n\nThe current overview doesn't provide quotes directly addressing these implementation details."}]},"uuid":"79fd1622-33ed-4be6-8959-4f47ef497950","timestamp":"2026-06-07T16:48:55.726Z","sourceToolAssistantUUID":"11c1d858-b5ca-4646-977c-9d065e74b45f","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"79fd1622-33ed-4be6-8959-4f47ef497950","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_01Rpv3GBhDmT1xkUvcTHRQPr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GWCfbkM58Ezvr6aAydsD9c","name":"WebFetch","input":{"url":"https://ai-sdk.dev/docs/agents/loop-control","prompt":"Explain stopWhen and stepCountIs in AI SDK v6. Is stopWhen evaluated only AFTER a step that contains tool calls (i.e. a step that produces only text terminates the loop naturally)? If the model calls a tool then needs another step to write final text, does stepCountIs(5) leave room? Confirm: stopWhen is checked after each step but a step with no tool calls always ends the generation. Quote the relevant explanation."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":828,"cache_read_input_tokens":63248,"output_tokens":239,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":828},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":239,"cache_read_input_tokens":63248,"cache_creation_input_tokens":828,"cache_creation":{"ephemeral_5m_input_tokens":828,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpEzGRU8L2vww4p67WFK","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"936e01d2-f0fb-4239-a47e-53143027ba47","timestamp":"2026-06-07T16:49:00.153Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"936e01d2-f0fb-4239-a47e-53143027ba47","isSidechain":true,"promptId":"33e86857-75ea-44f8-92b1-0bc1ca6b7b04","agentId":"a8b0b3c1a904223e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GWCfbkM58Ezvr6aAydsD9c","type":"tool_result","content":"# stopWhen and stepCountIs in AI SDK v6\n\n**When stopWhen is evaluated:**\n\nThe documentation states: \"The loop continues until: A finish reasoning other than tool-calls is returned, or A tool that is invoked does not have an execute function, or A tool call needs approval, or A stop condition is met.\"\n\nThis indicates that `stopWhen` conditions are checked after each step, but a critical distinction exists: **steps producing only text (no tool calls) naturally terminate the loop regardless of stopWhen conditions.** Text generation signals the agent is \"finished\" in reasoning.\n\n**Regarding stepCountIs(5) with a tool-calling scenario:**\n\nYes, `stepCountIs(5)` leaves room for a tool call followed by final text. If the model calls a tool on step 4 (index 3), step 5 (index 4) can contain the final text response. The step counter increments after each model invocation.\n\n**Relevant quote:**\n\n\"The `stopWhen` parameter controls when to stop execution when there are tool results in the last step. By default, agents stop after 20 steps using `stepCountIs(20)`.\"\n\nThis phrasing—\"when there are tool results\"—reinforces that `stopWhen` specifically manages loops involving tool calls, while natural text conclusions independently terminate execution."}]},"uuid":"8a606366-efde-42cb-9f4f-746a7f0c35b1","timestamp":"2026-06-07T16:49:05.830Z","sourceToolAssistantUUID":"936e01d2-f0fb-4239-a47e-53143027ba47","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}
{"parentUuid":"8a606366-efde-42cb-9f4f-746a7f0c35b1","isSidechain":true,"agentId":"a8b0b3c1a904223e0","message":{"model":"claude-opus-4-8","id":"msg_0132ELznrBAZaFcbbz7evtze","type":"message","role":"assistant","content":[{"type":"text","text":"I have everything verified from live sources. Here are my complete, code-forward findings.\n\n---\n\n# Research Findings — Covalba Chatbot 4 Changes\n\nAll facts below were verified against live sources (AI Gateway models endpoint, npm registry, the published streamdown 2.5.0 tarball, and ai-sdk.dev docs), not memory. Where the live API differs from your brief's assumptions, I flag it with **FLAG**.\n\n---\n\n## 1. Switch model to Claude Sonnet 4.6\n\n### Verified model ids (live)\n\nPulled live from `GET https://ai-gateway.vercel.sh/v1/models` (no auth needed) and the `@ai-sdk/anthropic` provider docs:\n\n| Surface | Exact id | Verified |\n|---|---|---|\n| **AI Gateway** (string passed to `streamText`) | `anthropic/claude-sonnet-4.6` (**dotted**) | ✅ present in live `/v1/models` |\n| **Direct `@ai-sdk/anthropic`** provider | `claude-sonnet-4-6` (**hyphenated**) | ✅ listed in ai-sdk.dev anthropic provider table |\n\nYour brief's guesses are both correct: dotted for the gateway, hyphenated for the direct provider. This mirrors exactly what `lib/model.ts` already does for Haiku (`claude-haiku-4.5` gateway vs `claude-haiku-4-5` direct).\n\nSonnet 4.6 gateway metadata (live): `context_window: 1000000` (1M), `max_tokens: 128000`, pricing `$3/M input, $15/M output, $0.30/M cache read` (vs Haiku's `$1/$5`). Tags include `tool-use`, `vision`, `explicit-caching` — so your existing Anthropic `cacheControl: ephemeral` and gateway `caching: auto` keep working unchanged.\n\n### Cleanest env-configurable pattern\n\nYour current `lib/model.ts` hardcodes Haiku in two spots. Make the model env-driven while keeping the dual gateway/direct resolution. The cleanest shape keeps **one source of truth per surface**, defaulting to Sonnet 4.6:\n\n```ts\n// lib/model.ts\nimport { createAnthropic } from \"@ai-sdk/anthropic\";\nimport type { LanguageModel } from \"ai\";\n\nconst hasDirectKey = !!process.env.ANTHROPIC_API_KEY;\nconst hasGateway =\n  !!process.env.AI_GATEWAY_API_KEY || !!process.env.VERCEL_OIDC_TOKEN;\n\nexport const usingGateway = !hasDirectKey && hasGateway;\n\n// Default = Sonnet 4.6. Override per-surface via env.\n// Gateway id uses dots; direct provider id uses hyphens.\nconst GATEWAY_MODEL = process.env.CHAT_MODEL ?? \"anthropic/claude-sonnet-4.6\";\nconst DIRECT_MODEL =\n  process.env.CHAT_MODEL_DIRECT ?? \"claude-sonnet-4-6\";\n\nexport function getModel(): LanguageModel {\n  if (hasDirectKey) {\n    const anthropic = createAnthropic({ apiKey: process.env.ANTHROPIC_API_KEY });\n    return anthropic(DIRECT_MODEL);\n  }\n  return GATEWAY_MODEL;\n}\n```\n\nNotes:\n- `CHAT_MODEL` (gateway, dotted) is the one you'll set in Vercel prod env. `CHAT_MODEL_DIRECT` is only needed if you also flip the local direct-provider model; otherwise it defaults to Sonnet 4.6 too.\n- If you'd rather have a single env var, you can't — the two surfaces use different id grammars (`.` vs `-`). Two vars (each defaulted) is the honest, least-surprising pattern. Don't try to regex-convert dots↔hyphens; version numbers and model families don't map cleanly (`claude-3.5-haiku` → `claude-3-5-haiku` shows the rule isn't uniform).\n\n**Cost flag:** Sonnet 4.6 is 3× input / 3× output vs Haiku 4.5. For a B2B POC the latency is also higher. Env-driven default lets you A/B (e.g. keep Haiku for cheap classification-y turns later via a per-request override) without code changes.\n\n---\n\n## 2. Render markdown without Tailwind → **use `react-markdown` + `remark-gfm`, NOT streamdown**\n\n### FLAG: streamdown is Tailwind-coupled in practice — disqualified for this project\n\nI inspected the **published streamdown@2.5.0 dist tarball** directly. Its peer deps only list react/react-dom (no tailwind), and one docs page claims CSS-variable styling — **but the actual compiled components hardcode Tailwind utility classnames on every markdown element**:\n\n```\n34× \"flex \"      25× \"rounded-\"   21× \"text-sm\"\n 6× \"mt-6\"        6× \"mb-2\"        5× \"mt-1\"\n10× \"gap-2\"  ... plus \"prose\", \"size-4\", \"gap-4\", \"mt-2/mt-0\", \"mb-0\"\n```\n\nWithout a Tailwind v4 build emitting those utilities (and the `@source` directive pointing at `node_modules/streamdown` so its classes aren't purged), every one of those classnames is a dead string and the markdown renders **unstyled**. streamdown also pulls heavy deps you don't need: `mermaid` (~big), `shiki`-style highlighting, `tailwind-merge`. For a no-Tailwind inline-style POC, this is the wrong tool. **Don't use it here.**\n\n(streamdown is genuinely great — but only in a Tailwind v4 app. Your project is inline-style + small `globals.css`, so it's a mismatch.)\n\n### Recommendation: `react-markdown@10` + `remark-gfm@4`\n\n- Verified latest: `react-markdown` **10.1.0**, `remark-gfm` **4.0.1**. Peer deps: just `react >=18` — clean on your React 19.\n- Streaming-safe: react-markdown re-parses the full string on every render. Mid-stream incomplete markdown (an unclosed `**`, a half-written list) renders as best-effort partial HTML and self-corrects on the next delta. No crash. This is exactly the streaming-tolerance you need; it's what most AI chat UIs used before streamdown existed.\n- GFM via `remark-gfm` gives you tables, strikethrough, autolinks, task lists.\n\n### Install\n\n```bash\nnpm i react-markdown@10 remark-gfm@4\n```\n\n### Integration in `app/embed/Chat.tsx`\n\nReplace the raw text branch (lines 71–77). Render a memoized markdown component and override the anchor to force `target=\"_top\"` (you're in an iframe — same requirement you already hit on the suggest_page card):\n\n```tsx\nimport ReactMarkdown from \"react-markdown\";\nimport remarkGfm from \"remark-gfm\";\n\n// custom renderers: scope styling + force target=_top for iframe\nconst mdComponents = {\n  a: (props: any) => (\n    <a {...props} target=\"_top\" rel=\"noopener noreferrer\" />\n  ),\n};\n\nfunction Markdown({ children }: { children: string }) {\n  return (\n    <div className=\"md\">\n      <ReactMarkdown remarkPlugins={[remarkGfm]} components={mdComponents}>\n        {children}\n      </ReactMarkdown>\n    </div>\n  );\n}\n```\n\nThen in the parts map:\n\n```tsx\nif (part.type === \"text\") {\n  return <Markdown key={i}>{part.text}</Markdown>;\n}\n```\n\n### Styling without Tailwind — scoped CSS in `globals.css`\n\nreact-markdown emits **plain semantic HTML** (`<p> <strong> <ul> <li> <a> <table>…`), no classnames. Scope everything under `.md` so it can't leak into the rest of the embed. Add to your existing `globals.css`:\n\n```css\n.md { font-size: 14px; line-height: 1.5; }\n.md > :first-child { margin-top: 0; }\n.md > :last-child { margin-bottom: 0; }\n.md p { margin: 4px 0; }\n.md strong { font-weight: 600; }\n.md a { color: var(--covalba-teal); text-decoration: underline; }\n.md ul, .md ol { margin: 6px 0; padding-left: 20px; }\n.md li { margin: 2px 0; }\n.md h1, .md h2, .md h3 { margin: 10px 0 4px; font-weight: 600; line-height: 1.3; }\n.md h1 { font-size: 17px; } .md h2 { font-size: 15.5px; } .md h3 { font-size: 14.5px; }\n.md code { background: var(--covalba-cream); padding: 1px 5px; border-radius: 4px; font-size: 12.5px; }\n.md pre { background: var(--covalba-cream); padding: 10px; border-radius: 8px; overflow-x: auto; }\n.md pre code { background: none; padding: 0; }\n.md table { border-collapse: collapse; width: 100%; font-size: 13px; margin: 6px 0; }\n.md th, .md td { border: 1px solid var(--covalba-border); padding: 4px 8px; text-align: left; }\n.md blockquote { margin: 6px 0; padding-left: 10px; border-left: 3px solid var(--covalba-border); color: var(--covalba-muted); }\n```\n\nThis reuses your existing CSS custom properties (`--covalba-teal`, `--covalba-cream`, `--covalba-border`, `--covalba-muted`) so it matches the rest of the embed. The `> :first-child`/`> :last-child` resets keep the bubble padding tight (react-markdown wraps single lines in `<p>` which would otherwise add margin).\n\n**Security note:** react-markdown does NOT render raw HTML by default (no `rehype-raw`), so model output can't inject `<script>`/`<img onerror>`. Keep it that way — don't add `rehype-raw`.\n\n---\n\n## 3. Follow-up suggestion chips via `suggest_followups` tool\n\nYour overall plan is correct for AI SDK v6. Verified specifics for each sub-question:\n\n### (a) Rendering `tool-suggest_followups` with `state: \"output-available\"` reading `part.output` — ✅ CORRECT\n\nConfirmed against ai-sdk.dev chatbot-tool-usage docs: tool parts are `type: \"tool-${toolName}\"`, states are `input-streaming | input-available | output-available`, and `part.output` holds the `execute()` return value. This is exactly the pattern your `suggest_page` card already uses (lines 79–82), so it's proven in your codebase. One gotcha from the docs: **`part.output` is typed possibly-undefined until `state === \"output-available\"`** — always gate on the state first (you already do).\n\nTool definition (v6 `tool()` + zod, matching your existing tool style):\n\n```ts\n// lib/tools/suggest-followups.ts\nimport { tool } from \"ai\";\nimport { z } from \"zod\";\n\nexport const suggestFollowups = tool({\n  description:\n    \"Propose 2 à 3 questions de relance courtes que l'utilisateur pourrait \" +\n    \"vouloir poser ensuite. À appeler à LA FIN de ta réponse, après ton texte. \" +\n    \"Questions formulées du point de vue de l'utilisateur, en français, ≤ 60 caractères.\",\n  inputSchema: z.object({\n    suggestions: z\n      .array(z.string().max(80))\n      .min(2)\n      .max(3)\n      .describe(\"2 à 3 relances courtes, point de vue utilisateur.\"),\n  }),\n  // execute echoes input → becomes part.output (closes the tool call so the loop can end)\n  execute: async ({ suggestions }) => ({ suggestions }),\n});\n```\n\nRegister it in `route.ts` alongside the others:\n\n```ts\ntools: {\n  suggest_page: suggestPage,\n  capture_lead: captureLead(originUrl),\n  log_unanswered: logUnanswered,\n  suggest_followups: suggestFollowups,\n},\n```\n\n### (b) Accessing `sendMessage` for chip onClick\n\n`sendMessage` is already destructured from `useChat` in `Chat.tsx` (line 19). Pass it down to the chip renderer. Clicking a chip = `sendMessage({ text })` — identical to your form submit (line 45). No new transport plumbing.\n\n### (c) Show chips ONLY for the latest assistant message\n\nCompute the id of the last assistant message once, and only render the `tool-suggest_followups` part when the message id matches. This makes stale chips from earlier turns disappear automatically as the conversation grows:\n\n```tsx\n// inside Chat(), after messages is available\nconst lastAssistantId = [...messages]\n  .reverse()\n  .find((m) => m.role === \"assistant\")?.id;\n```\n\nIn the parts map:\n\n```tsx\nif (\n  part.type === \"tool-suggest_followups\" &&\n  part.state === \"output-available\" &&\n  m.id === lastAssistantId &&        // ← only the latest assistant turn\n  !busy                              // optional: hide while a new turn streams\n) {\n  const { suggestions } = part.output as { suggestions: string[] };\n  return (\n    <div key={i} style={S.chips}>\n      {suggestions.map((s, j) => (\n        <button\n          key={j}\n          type=\"button\"\n          style={S.chip}\n          onClick={() => sendMessage({ text: s })}\n        >\n          {s}\n        </button>\n      ))}\n    </div>\n  );\n}\n```\n\nChip styles (inline, matching your `S` object, no Tailwind):\n\n```ts\nchips: { display: \"flex\", flexWrap: \"wrap\", gap: 6, marginTop: 8 },\nchip: {\n  border: `1px solid ${TEAL}`, background: \"#fff\", color: TEAL,\n  borderRadius: 999, padding: \"6px 12px\", fontSize: 13,\n  cursor: \"pointer\", fontFamily: \"inherit\", lineHeight: 1.2,\n},\n```\n\nBecause chips are gated on `m.id === lastAssistantId`, once the user clicks one (or types anything), a new assistant message becomes the latest and the old chips vanish on the next render. No manual cleanup state needed.\n\n### (d) `stopWhen: stepCountIs(5)` ordering gotcha — verified, you're fine, with one nuance\n\nVerified against ai-sdk.dev/docs/agents/loop-control:\n\n- `stopWhen` is **only evaluated after a step that contains tool calls**. A step that produces **only text (no tool calls) ends the loop naturally**, regardless of the counter.\n- So the model can, in one turn: step 1 → emit text + call `suggest_page`; step 2 → emit more text + call `suggest_followups`; step 3 → (tool results fed back) emit nothing-or-closing-text and finish. `stepCountIs(5)` leaves ample headroom.\n\n**The real nuance — ordering of text vs the chips tool:** Claude can emit assistant text *and* a tool call in the **same** step. Whether the followups tool call lands before or after the visible text is not guaranteed by the SDK; it's driven by your system prompt. Since you render parts in array order, if the model emits the `suggest_followups` call *before* its prose, chips could render above the answer. Mitigations (prompt-side, your domain): instruct \"appelle `suggest_followups` en DERNIER, après avoir entièrement répondu.\" Belt-and-suspenders UI-side: because you render chips in a dedicated `<div>` and gate on `output-available`, you can also always render the chips block **after** the text parts by splitting the map into two passes (text parts first, then tool/chip parts) if ordering ever misbehaves. Start with the prompt instruction; only add the two-pass split if you observe misordering.\n\n**One more:** don't put `suggest_followups` behind a model that \"gives up\" calling tools under cost pressure. It's cheap (echo execute), but if the model skips it some turns, just render nothing — never block the answer on chips.\n\n---\n\n## 4. Multi-tool turns (suggest_page + capture_lead + log_unanswered + suggest_followups) — no blocking API constraint\n\nVerified: **no API limit prevents registering or calling all four tools in one turn.** Confirmed behaviors:\n\n- **All four registered together is fine.** The AI SDK passes every tool's schema to the model each request; there's no count cap relevant here (you're at 4). Each has an `execute`, so results stream back automatically and the loop continues (`Server-side tools are executed using their execute method and their results are forwarded to the client` — confirmed in docs).\n- **Model can call `suggest_page` immediately on a price question, then keep chatting.** Yes. A single step can contain text + a `suggest_page` tool call; after the tool result is fed back, the next step continues the conversation. The `stopWhen` loop only terminates when a step has no tool calls (natural text finish) or the cap is hit. So \"redirect to estimation page on a price question, then continue the qualification chat\" is fully supported within `stepCountIs(5)`.\n- **Multiple tools in one turn** (e.g. `suggest_page` + `log_unanswered` + `suggest_followups`) is supported; they execute and stream back in order. Watch the step budget: with 4 tools available, a turn that chains several tool calls eats steps. `stepCountIs(5)` is comfortable for \"1–2 tool calls + final text,\" but a devis flow that fires `suggest_page` → `capture_lead` → `suggest_followups` in sequence with reasoning between each could brush the cap. If you see truncated turns, bump to `stepCountIs(6–8)` — cheap insurance, no downside besides a longer max loop.\n\n**The only real constraints to keep in mind (not blockers):**\n1. **`maxDuration = 30`** (route.ts line 14). Sonnet 4.6 is slower than Haiku; a multi-tool turn with several round-trips on a 1M-context model could approach 30s on a cold/heavy turn. If you see timeouts after the model switch, raise `maxDuration`.\n2. **Tool-result ordering / final text** — same nuance as 3(d): tool calls and prose can co-occur in a step; rely on the system prompt to sequence (answer → suggest_page → … → suggest_followups last).\n3. **Caching unaffected** — Sonnet 4.6 has the `explicit-caching` tag, so your `cacheControl: ephemeral` on the system prompt and gateway `caching: auto` carry over unchanged. The large static knowledge-base prefix keeps getting cached at the cheaper Sonnet cache-read rate ($0.30/M).\n\n---\n\n## Summary of what to touch (for your plan)\n\n| File | Change |\n|---|---|\n| `lib/model.ts` | Env-configurable model, default `anthropic/claude-sonnet-4.6` (gateway) / `claude-sonnet-4-6` (direct) |\n| `app/embed/Chat.tsx` | Render text parts via `react-markdown`+`remark-gfm` with `target=\"_top\"` anchor override; add chips block gated on latest assistant id |\n| `lib/tools/suggest-followups.ts` | New `tool()` returning `{ suggestions: string[] }` (2–3) |\n| `app/api/chat/route.ts` | Register `suggest_followups`; consider `stepCountIs(6–8)` and/or higher `maxDuration` |\n| `globals.css` | Scoped `.md` styles + `.chip` (or inline `S.chip`) — no Tailwind |\n| `package.json` | `+ react-markdown@10 remark-gfm@4` (do **not** add streamdown) |\n\n**Key flags:** (1) streamdown ships Tailwind utility classnames in its compiled output → unstyled without Tailwind v4 → rejected. (2) Sonnet 4.6 is 3× the cost and slower than Haiku — watch `maxDuration: 30`. (3) The two model-id grammars (dotted gateway vs hyphenated direct) can't be unified into one env var.\n\nI did not edit any files — this is research only."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":671,"cache_read_input_tokens":64076,"output_tokens":6882,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":671},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":6882,"cache_read_input_tokens":64076,"cache_creation_input_tokens":671,"cache_creation":{"ephemeral_5m_input_tokens":671,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbpF11Zn8WvwTevhah2bv","attributionAgent":"vercel:ai-architect","attributionPlugin":"vercel","type":"assistant","uuid":"f6d925e8-59da-4eb7-956f-665eea7fe6d5","timestamp":"2026-06-07T16:50:31.481Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-refonte-worktrees/tom-test-chatbot/chatbot","sessionId":"df169d01-2f45-42ae-bcea-94edf9cd2c59","version":"2.1.168","gitBranch":"tom/test-chatbot","slug":"brief-chatbot-pure-swing"}