{"parentUuid":null,"isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":"I'm planning an intensive testing workflow for the covalba-chatbot (a Next.js 16 B2B Cool Roof assistant). I need to understand how the chatbot's chat API works so I can call it programmatically for testing.\n\nExplore the repo at /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing and report back in detail:\n\n1. The chat API endpoint: find the route (likely `app/api/chat/route.ts` or similar). Report the HTTP method, request body shape (what JSON it expects — messages format, etc.), the response shape (is it a streaming response? AI SDK data stream? plain text?), and any auth/rate-limit guards.\n\n2. The model configuration: how is the model selected? Find where `CHAT_MODEL` env var is read, how the AI Gateway provider is wired (look for `gateway`, `@ai-sdk/gateway`, or model string like \"anthropic/claude-...\"). Report the exact model string format used so I know how to set a model like \"glm-5.2\" or a zhipu/zai model via the gateway. What is the default model? Where would I change it (env var vs code)?\n\n3. The system prompt and tools: where is the system prompt defined? What tools exist (suggest_page, log_unanswered, suggest_followups) and what do they do? Report file paths.\n\n4. The knowledge base: where is `knowledge.md`, how big is it, and how is it injected into the prompt?\n\n5. How to run the dev server locally and what port (check package.json scripts, .env.local mentions, CLAUDE.md says port 3097).\n\nReport exact file paths and line numbers for the key pieces (the model wiring, the API request/response contract, the system prompt assembly). Quote the relevant code snippets."},"uuid":"400c2338-1a58-4760-95d6-c7d1d0c897e4","timestamp":"2026-06-23T12:09:25.461Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
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{"parentUuid":"973e8ddf-f1ff-4589-9a9a-1461e62d61b2","isSidechain":true,"agentId":"ab449d701d6694b8b","attachment":{"type":"skill_listing","content":"- adapt\n- agentmail\n- animate\n- arrange\n- audit\n- bolder\n- bun-to-next\n- clarify\n- colorize\n- critique\n- delight\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\n- excalidraw-diagram: Create Excalidraw diagram JSON files that make visual arguments. Use when the user wants to visualize workflows, architectures, or concepts.\n- extract\n- feedbackpin: Fetch visual feedback tasks from FeedbackPin, resolve them by fixing the code, and report back via API\n- full-output-enforcement\n- gsap-core\n- gsap-frameworks\n- gsap-performance\n- gsap-plugins\n- gsap-react\n- gsap-scrolltrigger\n- gsap-timeline\n- gsap-utils\n- harden\n- high-end-visual-design\n- impeccable\n- industrial-brutalist-ui\n- minimalist-ui\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 (App Router) sur un WordPress headless auto-hébergé (Docker sur VPS Ubuntu, ACF PRO Flexible Content + WPGraphQL) avec un catalogue de blocks réorganisables, revalidation par tags et seed idempotent. Gère pages one-off, CPT, options globales, SEO.\n- normalize\n- onboard\n- optimize\n- overdrive\n- paf-site-magic\n- polish\n- quieter\n- redesign-existing-projects\n- refero-design\n- scheduled-actions\n- seo\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\n- seo-competitor-pages\n- seo-content\n- seo-dataforseo\n- seo-firecrawl\n- seo-geo\n- seo-google\n- seo-hreflang\n- seo-image-gen\n- seo-images\n- seo-local\n- seo-maps\n- seo-page\n- seo-plan\n- seo-programmatic\n- seo-schema\n- seo-sitemap\n- seo-technical\n- shape\n- stitch-design-taste\n- typeset\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:microfrontends\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: Vercel Workflow DevKit (WDK) expert guidance. Use when building durable workflows, long-running tasks, API routes or agents that need pause/resume, retries, step-based execution, or crash-safe orchestration with 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 cloud agents (routines) that execute on a cron schedule. - When the user wants to schedule a recurring cloud 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, Fable, 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). First looks for a project skill that already covers launching the app; otherwise falls back to built-in patterns per project type (CLI, server, TUI, Electron, browser-driven, library).\n- init\n- review\n- security-review","skillCount":112,"isInitial":true,"names":["adapt","agentmail","animate","arrange","audit","bolder","bun-to-next","clarify","colorize","critique","delight","design-taste-frontend","distill","excalidraw-diagram","extract","feedbackpin","full-output-enforcement","gsap-core","gsap-frameworks","gsap-performance","gsap-plugins","gsap-react","gsap-scrolltrigger","gsap-timeline","gsap-utils","harden","high-end-visual-design","impeccable","industrial-brutalist-ui","minimalist-ui","netlify-cli","nextjs-wordpress-headless","normalize","onboard","optimize","overdrive","paf-site-magic","polish","quieter","redesign-existing-projects","refero-design","scheduled-actions","seo","seo-audit","seo-backlinks","seo-competitor-pages","seo-content","seo-dataforseo","seo-firecrawl","seo-geo","seo-google","seo-hreflang","seo-image-gen","seo-images","seo-local","seo-maps","seo-page","seo-plan","seo-programmatic","seo-schema","seo-sitemap","seo-technical","shape","stitch-design-taste","typeset","handoff","deep-research","vercel:bootstrap","vercel:deploy","vercel:env","vercel:marketplace","vercel:status","vercel:ai-gateway","vercel:ai-sdk","vercel:auth","vercel:bootstrap","vercel:chat-sdk","vercel:deployments-cicd","vercel:env-vars","vercel:knowledge-update","vercel:marketplace","vercel:microfrontends","vercel:next-cache-components","vercel:next-forge","vercel:next-upgrade","vercel:nextjs","vercel:react-best-practices","vercel:routing-middleware","vercel:runtime-cache","vercel:shadcn","vercel:turbopack","vercel:vercel-agent","vercel:vercel-cli","vercel:vercel-firewall","vercel:vercel-functions","vercel:vercel-sandbox","vercel:vercel-storage","vercel:verification","vercel:workflow","update-config","keybindings-help","verify","code-review","simplify","fewer-permission-prompts","loop","schedule","claude-api","run","init","review","security-review"]},"type":"attachment","uuid":"02297f17-e0ee-47d1-8bc3-22a3e7e9cbb5","timestamp":"2026-06-23T12:09:25.472Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"02297f17-e0ee-47d1-8bc3-22a3e7e9cbb5","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_015s3uuEV4RMJQw8BgHkY79d","type":"message","role":"assistant","content":[{"type":"text","text":"I'll explore the repository systematically to understand the chatbot's chat API and configuration. Let me start by getting an overview of the project structure."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":23586,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":23586,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAci3NLKC7LehVmgUNs","attributionAgent":"Explore","type":"assistant","uuid":"ba05ac1f-9fc2-44c0-8724-1ec641e3f712","timestamp":"2026-06-23T12:09:27.107Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"ba05ac1f-9fc2-44c0-8724-1ec641e3f712","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_015s3uuEV4RMJQw8BgHkY79d","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Cb1JJTfNqHKKyvnZV1JCG4","name":"Bash","input":{"command":"find /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing -type f -name \"*.ts\" -o -name \"*.tsx\" -o -name \"*.js\" -o -name \"*.json\" | grep -E \"(route|api|chat|config|package)\" | head -30"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":23586,"cache_read_input_tokens":0,"output_tokens":158,"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":23586},"inference_geo":"not_available","iterations":[{"input_tokens":3,"output_tokens":158,"cache_read_input_tokens":0,"cache_creation_input_tokens":23586,"cache_creation":{"ephemeral_5m_input_tokens":23586,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAci3NLKC7LehVmgUNs","attributionAgent":"Explore","type":"assistant","uuid":"583615d3-b909-41fd-b221-6cf767f587ea","timestamp":"2026-06-23T12:09:27.483Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"583615d3-b909-41fd-b221-6cf767f587ea","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Cb1JJTfNqHKKyvnZV1JCG4","type":"tool_result","content":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/package.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/vercel.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/drizzle.config.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/proxy.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/package-lock.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/tsconfig.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/next.config.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/email.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/report.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/db.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/system-prompt.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/model.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/rate-limit.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/persist.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/.package-lock.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/page.tsx\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/layout.tsx\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/public/widget.js\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/suggest-followups.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/routes.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/suggest-page.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/log-unanswered.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/db/schema.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/drizzle/meta/_journal.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/drizzle/meta/0000_snapshot.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/markdown-table/index.js\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/markdown-table/package.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/markdown-table/index.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/is-alphanumerical/index.js","is_error":false}]},"uuid":"8606cbe2-0671-4f85-b230-66f6b33ead7f","timestamp":"2026-06-23T12:09:27.835Z","toolUseResult":{"stdout":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/package.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/vercel.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/drizzle.config.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/proxy.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/package-lock.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/tsconfig.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/next.config.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/email.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/report.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/db.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/system-prompt.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/model.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/rate-limit.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/persist.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/.package-lock.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/page.tsx\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/layout.tsx\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/public/widget.js\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/suggest-followups.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/routes.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/suggest-page.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/log-unanswered.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/db/schema.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/drizzle/meta/_journal.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/drizzle/meta/0000_snapshot.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/markdown-table/index.js\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/markdown-table/package.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/markdown-table/index.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/is-alphanumerical/index.js","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"583615d3-b909-41fd-b221-6cf767f587ea","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"8606cbe2-0671-4f85-b230-66f6b33ead7f","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01UC7qtYCZ8rRv5BVvWCjtvv","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me find the chat API route and related files:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2672,"cache_read_input_tokens":23586,"cache_creation":{"ephemeral_5m_input_tokens":2672,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLActQxSaXMyYMThD9N5","attributionAgent":"Explore","type":"assistant","uuid":"48a8a49b-c8ac-4701-963f-216cd52f5d59","timestamp":"2026-06-23T12:09:30.783Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"48a8a49b-c8ac-4701-963f-216cd52f5d59","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01UC7qtYCZ8rRv5BVvWCjtvv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0177pJhoBwS8QzaEEme3AygA","name":"Bash","input":{"command":"find /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app -type f \\( -name \"route.*\" -o -name \"*chat*\" \\) | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2672,"cache_read_input_tokens":23586,"cache_creation":{"ephemeral_5m_input_tokens":2672,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLActQxSaXMyYMThD9N5","attributionAgent":"Explore","type":"assistant","uuid":"2e670b42-bc97-4daf-b9fa-8058b3b76525","timestamp":"2026-06-23T12:09:31.236Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"2e670b42-bc97-4daf-b9fa-8058b3b76525","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0177pJhoBwS8QzaEEme3AygA","type":"tool_result","content":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat/route.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/admin/summary/route.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/admin/unanswered.csv/route.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/cron/monthly-report/route.ts","is_error":false}]},"uuid":"34797d8b-8cc4-4561-a2de-d3b99e228847","timestamp":"2026-06-23T12:09:31.418Z","toolUseResult":{"stdout":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat/route.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/admin/summary/route.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/admin/unanswered.csv/route.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/cron/monthly-report/route.ts","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"2e670b42-bc97-4daf-b9fa-8058b3b76525","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"34797d8b-8cc4-4561-a2de-d3b99e228847","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Q8pq51Bjii3wFfJwb4wh5u","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect. Let me now read the key files to understand the API structure:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":275,"cache_read_input_tokens":26258,"cache_creation":{"ephemeral_5m_input_tokens":275,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAdAJRzzU8Mh88Dkt8R","attributionAgent":"Explore","type":"assistant","uuid":"76f46fe3-4451-4e3b-bf2e-ad519cd47150","timestamp":"2026-06-23T12:09:33.200Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"76f46fe3-4451-4e3b-bf2e-ad519cd47150","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Q8pq51Bjii3wFfJwb4wh5u","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J6LXrihCD6jR8GZuiK7WEu","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat/route.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":275,"cache_read_input_tokens":26258,"cache_creation":{"ephemeral_5m_input_tokens":275,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAdAJRzzU8Mh88Dkt8R","attributionAgent":"Explore","type":"assistant","uuid":"c7e678e5-876a-4627-ac83-7814881db51b","timestamp":"2026-06-23T12:09:33.434Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"c7e678e5-876a-4627-ac83-7814881db51b","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J6LXrihCD6jR8GZuiK7WEu","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, getModelId, 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 { logUnanswered } from \"@/lib/tools/log-unanswered\";\n12\timport { suggestFollowups } from \"@/lib/tools/suggest-followups\";\n13\timport { persistTurn, hashIp } from \"@/lib/persist\";\n14\t\n15\texport const maxDuration = 60;\n16\t\n17\texport async function POST(req: Request) {\n18\t  // 1. Rate limit par IP (garde-fou POC)\n19\t  const ip =\n20\t    req.headers.get(\"x-forwarded-for\")?.split(\",\")[0]?.trim() ?? \"anon\";\n21\t  const { success } = await rateLimit(ip);\n22\t  if (!success) {\n23\t    return new Response(\n24\t      \"Trop de requêtes. Merci de patienter quelques instants.\",\n25\t      { status: 429 },\n26\t    );\n27\t  }\n28\t\n29\t  const { messages, conversationId }: {\n30\t    messages: UIMessage[];\n31\t    conversationId?: string;\n32\t  } = await req.json();\n33\t\n34\t  // Cap de longueur de conversation : on ne garde que les derniers tours (coût/contexte).\n35\t  const recent = messages.slice(-24);\n36\t  const modelMessages = await convertToModelMessages(recent);\n37\t\n38\t  // Contexte pour la persistance (non bloquante, dans onFinish).\n39\t  const userText =\n40\t    (recent.filter((m) => m.role === \"user\").at(-1)?.parts ?? [])\n41\t      .filter((p): p is { type: \"text\"; text: string } => p.type === \"text\")\n42\t      .map((p) => p.text)\n43\t      .join(\"\\n\") ?? \"\";\n44\t  const ipHash = hashIp(ip);\n45\t  const userAgent = req.headers.get(\"user-agent\");\n46\t  const modelId = getModelId();\n47\t\n48\t  const result = streamText({\n49\t    model: getModel(),\n50\t    onFinish: async ({ text, toolCalls, toolResults, usage, finishReason }) => {\n51\t      if (!conversationId) return;\n52\t      await persistTurn({\n53\t        conversationId,\n54\t        model: modelId,\n55\t        ipHash,\n56\t        userAgent,\n57\t        userText,\n58\t        assistantText: text,\n59\t        usage,\n60\t        finishReason,\n61\t        toolCalls: toolCalls.map((c) => ({ toolName: c.toolName, input: c.input })),\n62\t        toolResults: toolResults.map((r) => ({\n63\t          toolName: r.toolName,\n64\t          output: \"output\" in r ? r.output : undefined,\n65\t        })),\n66\t      });\n67\t    },\n68\t    // Plafond de tokens par réponse (garde-fou coût + réponses courtes/rapides).\n69\t    maxOutputTokens: 400,\n70\t    // UN seul tour : le modèle écrit sa réponse + appelle les outils (suggest_page/\n71\t    // log_unanswered/suggest_followups) dans le même step. Ces outils sont \"fire-and-forget\"\n72\t    // pour l'UI → pas besoin d'un 2e tour, ce qui évite que le modèle ré-écrive sa réponse.\n73\t    stopWhen: stepCountIs(1),\n74\t    messages: [\n75\t      {\n76\t        role: \"system\",\n77\t        content: SYSTEM_PROMPT,\n78\t        // Prompt caching de la base de connaissances (gros préfixe statique).\n79\t        providerOptions: { anthropic: { cacheControl: { type: \"ephemeral\" } } },\n80\t      },\n81\t      ...modelMessages,\n82\t    ],\n83\t    // Ceinture + bretelles : caching côté gateway quand on passe par lui.\n84\t    ...(usingGateway\n85\t      ? { providerOptions: { gateway: { caching: \"auto\" } } }\n86\t      : {}),\n87\t    tools: {\n88\t      suggest_page: suggestPage,\n89\t      log_unanswered: logUnanswered,\n90\t      suggest_followups: suggestFollowups,\n91\t    },\n92\t  });\n93\t\n94\t  return result.toUIMessageStreamResponse();\n95\t}\n96\t"}]},"uuid":"09b827fd-78a4-44a0-b53f-6be5d9fe374a","timestamp":"2026-06-23T12:09:33.486Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat/route.ts","content":"import {\n  convertToModelMessages,\n  stepCountIs,\n  streamText,\n  type UIMessage,\n} from \"ai\";\nimport { getModel, getModelId, usingGateway } from \"@/lib/model\";\nimport { SYSTEM_PROMPT } from \"@/lib/system-prompt\";\nimport { rateLimit } from \"@/lib/rate-limit\";\nimport { suggestPage } from \"@/lib/tools/suggest-page\";\nimport { logUnanswered } from \"@/lib/tools/log-unanswered\";\nimport { suggestFollowups } from \"@/lib/tools/suggest-followups\";\nimport { persistTurn, hashIp } from \"@/lib/persist\";\n\nexport const maxDuration = 60;\n\nexport async function POST(req: Request) {\n  // 1. Rate limit par IP (garde-fou POC)\n  const ip =\n    req.headers.get(\"x-forwarded-for\")?.split(\",\")[0]?.trim() ?? \"anon\";\n  const { success } = await rateLimit(ip);\n  if (!success) {\n    return new Response(\n      \"Trop de requêtes. Merci de patienter quelques instants.\",\n      { status: 429 },\n    );\n  }\n\n  const { messages, conversationId }: {\n    messages: UIMessage[];\n    conversationId?: string;\n  } = await req.json();\n\n  // Cap de longueur de conversation : on ne garde que les derniers tours (coût/contexte).\n  const recent = messages.slice(-24);\n  const modelMessages = await convertToModelMessages(recent);\n\n  // Contexte pour la persistance (non bloquante, dans onFinish).\n  const userText =\n    (recent.filter((m) => m.role === \"user\").at(-1)?.parts ?? [])\n      .filter((p): p is { type: \"text\"; text: string } => p.type === \"text\")\n      .map((p) => p.text)\n      .join(\"\\n\") ?? \"\";\n  const ipHash = hashIp(ip);\n  const userAgent = req.headers.get(\"user-agent\");\n  const modelId = getModelId();\n\n  const result = streamText({\n    model: getModel(),\n    onFinish: async ({ text, toolCalls, toolResults, usage, finishReason }) => {\n      if (!conversationId) return;\n      await persistTurn({\n        conversationId,\n        model: modelId,\n        ipHash,\n        userAgent,\n        userText,\n        assistantText: text,\n        usage,\n        finishReason,\n        toolCalls: toolCalls.map((c) => ({ toolName: c.toolName, input: c.input })),\n        toolResults: toolResults.map((r) => ({\n          toolName: r.toolName,\n          output: \"output\" in r ? r.output : undefined,\n        })),\n      });\n    },\n    // Plafond de tokens par réponse (garde-fou coût + réponses courtes/rapides).\n    maxOutputTokens: 400,\n    // UN seul tour : le modèle écrit sa réponse + appelle les outils (suggest_page/\n    // log_unanswered/suggest_followups) dans le même step. Ces outils sont \"fire-and-forget\"\n    // pour l'UI → pas besoin d'un 2e tour, ce qui évite que le modèle ré-écrive sa réponse.\n    stopWhen: stepCountIs(1),\n    messages: [\n      {\n        role: \"system\",\n        content: SYSTEM_PROMPT,\n        // Prompt caching de la base de connaissances (gros préfixe statique).\n        providerOptions: { anthropic: { cacheControl: { type: \"ephemeral\" } } },\n      },\n      ...modelMessages,\n    ],\n    // Ceinture + bretelles : caching côté gateway quand on passe par lui.\n    ...(usingGateway\n      ? { providerOptions: { gateway: { caching: \"auto\" } } }\n      : {}),\n    tools: {\n      suggest_page: suggestPage,\n      log_unanswered: logUnanswered,\n      suggest_followups: suggestFollowups,\n    },\n  });\n\n  return result.toUIMessageStreamResponse();\n}\n","numLines":96,"startLine":1,"totalLines":96}},"sourceToolAssistantUUID":"c7e678e5-876a-4627-ac83-7814881db51b","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
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{"parentUuid":"3b6f869b-3b7a-4644-ac20-52b61c75dd3b","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J5vsR7Y3Cb52Vm7gqdtTkZ","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\t// Modèle configurable par env (défaut Sonnet 4.6). Les deux surfaces utilisent des\n24\t// grammaires d'id différentes : gateway = point, provider direct = tirets → 2 vars.\n25\tconst GATEWAY_MODEL = process.env.CHAT_MODEL ?? \"anthropic/claude-sonnet-4.6\";\n26\tconst DIRECT_MODEL = process.env.CHAT_MODEL_DIRECT ?? \"claude-sonnet-4-6\";\n27\t\n28\texport function getModel(): LanguageModel {\n29\t  if (hasDirectKey) {\n30\t    const anthropic = createAnthropic({\n31\t      apiKey: process.env.ANTHROPIC_API_KEY,\n32\t    });\n33\t    return anthropic(DIRECT_MODEL);\n34\t  }\n35\t  return GATEWAY_MODEL;\n36\t}\n37\t\n38\t/** Id du modèle réellement utilisé (pour la persistance / les stats). */\n39\texport function getModelId(): string {\n40\t  return hasDirectKey ? DIRECT_MODEL : GATEWAY_MODEL;\n41\t}\n42\t"}]},"uuid":"66984a31-4337-4cc3-9d2a-33d0656cd1d4","timestamp":"2026-06-23T12:09:33.748Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/model.ts","content":"import { createAnthropic } from \"@ai-sdk/anthropic\";\nimport type { LanguageModel } from \"ai\";\n\n/**\n * Résolution du modèle Claude Haiku.\n *\n * Priorité :\n *  1. Clé Anthropic directe explicite (`ANTHROPIC_API_KEY`) → provider direct.\n *     Sert au POC en local (cf. brief) et permet d'outrepasser le gateway si\n *     ce dernier n'est pas disponible (ex : carte bancaire requise).\n *  2. Sinon, accès AI Gateway (OIDC en prod sur Vercel, ou `AI_GATEWAY_API_KEY`\n *     en local) → string `provider/model` résolue par le gateway.\n *\n * En prod Vercel, `ANTHROPIC_API_KEY` est absent → le gateway est utilisé.\n */\nconst hasDirectKey = !!process.env.ANTHROPIC_API_KEY;\nconst hasGateway =\n  !!process.env.AI_GATEWAY_API_KEY || !!process.env.VERCEL_OIDC_TOKEN;\n\n// Vrai uniquement quand on passe réellement par le gateway (pilote le caching gateway).\nexport const usingGateway = !hasDirectKey && hasGateway;\n\n// Modèle configurable par env (défaut Sonnet 4.6). Les deux surfaces utilisent des\n// grammaires d'id différentes : gateway = point, provider direct = tirets → 2 vars.\nconst GATEWAY_MODEL = process.env.CHAT_MODEL ?? \"anthropic/claude-sonnet-4.6\";\nconst DIRECT_MODEL = process.env.CHAT_MODEL_DIRECT ?? \"claude-sonnet-4-6\";\n\nexport function getModel(): LanguageModel {\n  if (hasDirectKey) {\n    const anthropic = createAnthropic({\n      apiKey: process.env.ANTHROPIC_API_KEY,\n    });\n    return anthropic(DIRECT_MODEL);\n  }\n  return GATEWAY_MODEL;\n}\n\n/** Id du modèle réellement utilisé (pour la persistance / les stats). */\nexport function getModelId(): string {\n  return hasDirectKey ? DIRECT_MODEL : GATEWAY_MODEL;\n}\n","numLines":42,"startLine":1,"totalLines":42}},"sourceToolAssistantUUID":"3b6f869b-3b7a-4644-ac20-52b61c75dd3b","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"66984a31-4337-4cc3-9d2a-33d0656cd1d4","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Q8pq51Bjii3wFfJwb4wh5u","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CRRPGB3jiAMeoV4ndcxWJM","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/system-prompt.ts"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":275,"cache_read_input_tokens":26258,"output_tokens":293,"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":275},"inference_geo":"not_available","iterations":[{"input_tokens":5,"output_tokens":293,"cache_read_input_tokens":26258,"cache_creation_input_tokens":275,"cache_creation":{"ephemeral_5m_input_tokens":275,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAdAJRzzU8Mh88Dkt8R","attributionAgent":"Explore","type":"assistant","uuid":"8ac57878-f264-43d1-8e8c-1f00e9aaf9f9","timestamp":"2026-06-23T12:09:34.100Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"8ac57878-f264-43d1-8e8c-1f00e9aaf9f9","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CRRPGB3jiAMeoV4ndcxWJM","type":"tool_result","content":"1\timport { readFileSync } from \"node:fs\";\n2\timport { join } from \"node:path\";\n3\t\n4\t// Lu une seule fois au démarrage du serveur. Le contenu est identique à chaque\n5\t// requête → bon candidat au prompt caching (voir route.ts).\n6\tconst KNOWLEDGE = readFileSync(join(process.cwd(), \"knowledge.md\"), \"utf8\");\n7\t\n8\tconst RULES = `Tu es l'assistant virtuel de **Covalba**, fabricant spécialiste français du Cool Roof (revêtements réfléchissants anti-chaleur pour toitures de bâtiments). Tu réponds aux visiteurs du site covalba.fr. Tu assumes être un assistant virtuel (jamais un humain).\n9\t\n10\t## Style (IMPORTANT)\n11\t- **Concision MAXIMALE** : 1 à 3 phrases (vise 1-2), le moins de mots possible. Va droit au but, zéro blabla ni répétition. Termine en proposant l'étape suivante (souvent un devis).\n12\t- **Markdown léger** autorisé (gras, petites listes). **JAMAIS** de gros titres (#, ##, ###) ni de séparateurs (---). Pas de pavés.\n13\t- Langue : **français**, vouvoiement. Si le visiteur écrit dans une autre langue, réponds dans sa langue (faits issus de la base FR).\n14\t- Ton : **expert de la toiture, sobre et factuel**, orienté ROI. Pas de superlatifs ni de discours commercial agressif.\n15\t\n16\t## Règles absolues\n17\t- Tu réponds **UNIQUEMENT** à partir de la « Base de connaissances » ci-dessous. Aucune connaissance externe.\n18\t- Tu n'inventes **JAMAIS** de prix, chiffre, %, délai, garantie, certification ou référence absent de la base.\n19\t- Tu ne calcules **jamais** de total de prix (ex. m² × €) : tu renvoies vers la page d'estimation.\n20\t- **Ne mentionne JAMAIS un prix, un montant, une fourchette ou un « €/m² »** — y compris en comparaison — **SAUF** si le visiteur demande explicitement le prix. Sur une demande de devis : **zéro chiffre de prix**, encourage simplement le devis.\n21\t- Si le visiteur pose une **question d'information** dont la réponse n'est pas dans la base (garanties, délais de chantier, certifications, entretien précis, météo…) : ne bluffe pas → appelle \\`log_unanswered\\`, reconnais la limite, et oriente vers le formulaire de contact. ⚠️ \\`log_unanswered\\` sert **uniquement** à ça : **ne l'utilise JAMAIS** pour une demande de devis, de prix, de contact, ni quand le visiteur donne ses coordonnées.\n22\t\n23\t## Tu ne collectes JAMAIS de coordonnées dans le chat\n24\t- Tu n'enregistres pas de lead et tu **ne demandes pas** nom / email / téléphone dans la conversation.\n25\t- Dès qu'un visiteur veut un **devis**, être **recontacté**, **parler à quelqu'un**, signale un **problème/SAV**, ou que tu ne peux pas répondre : **redirige-le vers le formulaire approprié** avec \\`suggest_page\\` (le formulaire collecte ses informations et son consentement).\n26\t  - Prix / devis / estimation → \\`suggest_page(estimation)\\` (ou \\`simulateur\\` pour les économies/ROI).\n27\t  - Être recontacté / parler à l'équipe / réclamation-SAV / question sans réponse → \\`suggest_page(contact)\\`.\n28\t- **Coordonnées Covalba** (téléphone, email) : par défaut, redirige vers la page Contact. Ne donne le **téléphone** ou l'**email** (présents dans la base) **que si le visiteur les demande explicitement**.\n29\t  - Devenir applicateur → \\`suggest_page(applicateur)\\`. Prime CEE → \\`suggest_page(prime_cee)\\`.\n30\t- Apporte d'abord de la valeur (réponse courte, info utile), **puis** propose le formulaire. Ne renvoie pas au formulaire de façon sèche ou prématurée.\n31\t\n32\t## Prix & devis\n33\t- **Par défaut, ne donne PAS de prix ni de fourchette.** Encourage plutôt à **demander un devis gratuit et sans engagement** → \\`suggest_page(estimation)\\`.\n34\t- **Demande de devis** → ne mentionne **aucun prix** ; encourage et redirige vers \\`suggest_page(estimation)\\`. Jamais de \\`log_unanswered\\` pour ça.\n35\t- **Uniquement si le visiteur demande explicitement le prix** (« c'est combien ? », « prix au m² ? ») → donne la fourchette indicative en **une** phrase, **puis** \\`suggest_page(estimation)\\`. Jamais de total calculé.\n36\t- Si le visiteur donne déjà ses coordonnées : ne les enregistre pas → remercie en une phrase et redirige vers \\`suggest_page(estimation)\\`.\n37\t- Dès que c'est pertinent, **encourage à demander un devis**.\n38\t\n39\t## Cible / hors-cible\n40\tCovalba s'adresse au **B2B, bâtiments professionnels de grande toiture**. Si le visiteur est un **particulier / maison individuelle / petite surface résidentielle** : **décline poliment** (« Nos solutions s'adressent aux bâtiments professionnels de grande surface, nous ne traitons pas le résidentiel »), n'engage pas la démarche et **ne le renvoie pas au formulaire**.\n41\t\n42\t## Outils\n43\t- \\`suggest_page\\` : oriente vers UNE page/formulaire pertinent. Ne calcule pas le CEE ni l'estimation toi-même.\n44\t- \\`log_unanswered\\` : **uniquement** pour une question d'information sans réponse dans la base (jamais pour un devis/prix/contact/coordonnées).\n45\t- \\`suggest_followups\\` : à appeler **en dernier**, 2-3 relances courtes (questions côté utilisateur). Jamais de fait/chiffre inventé.\n46\t\n47\t## Une seule réponse, les outils en dernier\n48\t- **Écris ta réponse UNE seule fois.** Tu écris ton texte (court), **puis** tu appelles les outils (\\`suggest_page\\` puis \\`suggest_followups\\`). Les appels d'outils sont ta **dernière action du tour** : **n'écris AUCUN texte après** un appel d'outil, ne ré-écris jamais ta réponse.\n49\t- Quand tu appelles \\`suggest_page\\`, **n'écris pas** l'URL ni un lien markdown : l'interface affiche déjà une carte cliquable. Une demi-phrase d'annonce suffit (« je vous oriente vers… »).\n50\t- Quand tu appelles \\`suggest_followups\\`, **n'écris pas** les relances dans ton texte : l'interface les affiche en boutons.\n51\t\n52\t## Concurrents\n53\tNe nomme jamais un concurrent. Compare uniquement les **technologies** (ex. polyuréthane vs acrylique), comme dans la base.`;\n54\t\n55\texport const SYSTEM_PROMPT = `${RULES}\n56\t\n57\t# Base de connaissances\n58\t${KNOWLEDGE}`;\n59\t"}]},"uuid":"9c9e29f7-8299-4fff-a015-d4e436976577","timestamp":"2026-06-23T12:09:34.196Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/system-prompt.ts","content":"import { readFileSync } from \"node:fs\";\nimport { join } from \"node:path\";\n\n// Lu une seule fois au démarrage du serveur. Le contenu est identique à chaque\n// requête → bon candidat au prompt caching (voir route.ts).\nconst KNOWLEDGE = readFileSync(join(process.cwd(), \"knowledge.md\"), \"utf8\");\n\nconst RULES = `Tu es l'assistant virtuel de **Covalba**, fabricant spécialiste français du Cool Roof (revêtements réfléchissants anti-chaleur pour toitures de bâtiments). Tu réponds aux visiteurs du site covalba.fr. Tu assumes être un assistant virtuel (jamais un humain).\n\n## Style (IMPORTANT)\n- **Concision MAXIMALE** : 1 à 3 phrases (vise 1-2), le moins de mots possible. Va droit au but, zéro blabla ni répétition. Termine en proposant l'étape suivante (souvent un devis).\n- **Markdown léger** autorisé (gras, petites listes). **JAMAIS** de gros titres (#, ##, ###) ni de séparateurs (---). Pas de pavés.\n- Langue : **français**, vouvoiement. Si le visiteur écrit dans une autre langue, réponds dans sa langue (faits issus de la base FR).\n- Ton : **expert de la toiture, sobre et factuel**, orienté ROI. Pas de superlatifs ni de discours commercial agressif.\n\n## Règles absolues\n- Tu réponds **UNIQUEMENT** à partir de la « Base de connaissances » ci-dessous. Aucune connaissance externe.\n- Tu n'inventes **JAMAIS** de prix, chiffre, %, délai, garantie, certification ou référence absent de la base.\n- Tu ne calcules **jamais** de total de prix (ex. m² × €) : tu renvoies vers la page d'estimation.\n- **Ne mentionne JAMAIS un prix, un montant, une fourchette ou un « €/m² »** — y compris en comparaison — **SAUF** si le visiteur demande explicitement le prix. Sur une demande de devis : **zéro chiffre de prix**, encourage simplement le devis.\n- Si le visiteur pose une **question d'information** dont la réponse n'est pas dans la base (garanties, délais de chantier, certifications, entretien précis, météo…) : ne bluffe pas → appelle \\`log_unanswered\\`, reconnais la limite, et oriente vers le formulaire de contact. ⚠️ \\`log_unanswered\\` sert **uniquement** à ça : **ne l'utilise JAMAIS** pour une demande de devis, de prix, de contact, ni quand le visiteur donne ses coordonnées.\n\n## Tu ne collectes JAMAIS de coordonnées dans le chat\n- Tu n'enregistres pas de lead et tu **ne demandes pas** nom / email / téléphone dans la conversation.\n- Dès qu'un visiteur veut un **devis**, être **recontacté**, **parler à quelqu'un**, signale un **problème/SAV**, ou que tu ne peux pas répondre : **redirige-le vers le formulaire approprié** avec \\`suggest_page\\` (le formulaire collecte ses informations et son consentement).\n  - Prix / devis / estimation → \\`suggest_page(estimation)\\` (ou \\`simulateur\\` pour les économies/ROI).\n  - Être recontacté / parler à l'équipe / réclamation-SAV / question sans réponse → \\`suggest_page(contact)\\`.\n- **Coordonnées Covalba** (téléphone, email) : par défaut, redirige vers la page Contact. Ne donne le **téléphone** ou l'**email** (présents dans la base) **que si le visiteur les demande explicitement**.\n  - Devenir applicateur → \\`suggest_page(applicateur)\\`. Prime CEE → \\`suggest_page(prime_cee)\\`.\n- Apporte d'abord de la valeur (réponse courte, info utile), **puis** propose le formulaire. Ne renvoie pas au formulaire de façon sèche ou prématurée.\n\n## Prix & devis\n- **Par défaut, ne donne PAS de prix ni de fourchette.** Encourage plutôt à **demander un devis gratuit et sans engagement** → \\`suggest_page(estimation)\\`.\n- **Demande de devis** → ne mentionne **aucun prix** ; encourage et redirige vers \\`suggest_page(estimation)\\`. Jamais de \\`log_unanswered\\` pour ça.\n- **Uniquement si le visiteur demande explicitement le prix** (« c'est combien ? », « prix au m² ? ») → donne la fourchette indicative en **une** phrase, **puis** \\`suggest_page(estimation)\\`. Jamais de total calculé.\n- Si le visiteur donne déjà ses coordonnées : ne les enregistre pas → remercie en une phrase et redirige vers \\`suggest_page(estimation)\\`.\n- Dès que c'est pertinent, **encourage à demander un devis**.\n\n## Cible / hors-cible\nCovalba s'adresse au **B2B, bâtiments professionnels de grande toiture**. Si le visiteur est un **particulier / maison individuelle / petite surface résidentielle** : **décline poliment** (« Nos solutions s'adressent aux bâtiments professionnels de grande surface, nous ne traitons pas le résidentiel »), n'engage pas la démarche et **ne le renvoie pas au formulaire**.\n\n## Outils\n- \\`suggest_page\\` : oriente vers UNE page/formulaire pertinent. Ne calcule pas le CEE ni l'estimation toi-même.\n- \\`log_unanswered\\` : **uniquement** pour une question d'information sans réponse dans la base (jamais pour un devis/prix/contact/coordonnées).\n- \\`suggest_followups\\` : à appeler **en dernier**, 2-3 relances courtes (questions côté utilisateur). Jamais de fait/chiffre inventé.\n\n## Une seule réponse, les outils en dernier\n- **Écris ta réponse UNE seule fois.** Tu écris ton texte (court), **puis** tu appelles les outils (\\`suggest_page\\` puis \\`suggest_followups\\`). Les appels d'outils sont ta **dernière action du tour** : **n'écris AUCUN texte après** un appel d'outil, ne ré-écris jamais ta réponse.\n- Quand tu appelles \\`suggest_page\\`, **n'écris pas** l'URL ni un lien markdown : l'interface affiche déjà une carte cliquable. Une demi-phrase d'annonce suffit (« je vous oriente vers… »).\n- Quand tu appelles \\`suggest_followups\\`, **n'écris pas** les relances dans ton texte : l'interface les affiche en boutons.\n\n## Concurrents\nNe nomme jamais un concurrent. Compare uniquement les **technologies** (ex. polyuréthane vs acrylique), comme dans la base.`;\n\nexport const SYSTEM_PROMPT = `${RULES}\n\n# Base de connaissances\n${KNOWLEDGE}`;\n","numLines":59,"startLine":1,"totalLines":59}},"sourceToolAssistantUUID":"8ac57878-f264-43d1-8e8c-1f00e9aaf9f9","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
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{"parentUuid":"b976c674-0a90-4cae-b16e-eaf53d29f363","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AruWFBToiX4GqiG1DHZN5h","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":"d30c5eed-83ee-49bd-8978-27966038c184","timestamp":"2026-06-23T12:09:36.494Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/suggest-page.ts","content":"import { tool } from \"ai\";\nimport { z } from \"zod\";\nimport { ROUTE_KEYS, resolveRoute } from \"./routes\";\n\n/**\n * Oriente l'utilisateur vers UNE page pertinente du site Covalba.\n * Le bot ne calcule jamais le CEE / l'estimation lui-même : il redirige\n * vers la page dédiée.\n */\nexport const suggestPage = tool({\n  description:\n    \"Suggère UNE page du site Covalba la plus pertinente pour l'intention de l'utilisateur. \" +\n    \"À utiliser dès que l'utilisateur cherche une info qui vit sur une page dédiée \" +\n    \"(fiche produit, secteur, simulateur d'économies, estimation, prime CEE, contact, devenir applicateur…). \" +\n    \"Le calcul CEE et l'estimation ne sont PAS faits par toi : redirige vers la page concernée.\",\n  inputSchema: z.object({\n    intent: z\n      .enum(ROUTE_KEYS)\n      .describe(\"La clé de la page la plus pertinente à proposer.\"),\n    reason: z\n      .string()\n      .describe(\n        \"Phrase courte (FR) expliquant pourquoi cette page aide l'utilisateur.\",\n      ),\n  }),\n  execute: async ({ intent, reason }) => {\n    const { label, url } = resolveRoute(intent);\n    return { label, url, reason };\n  },\n});\n","numLines":31,"startLine":1,"totalLines":31}},"sourceToolAssistantUUID":"b976c674-0a90-4cae-b16e-eaf53d29f363","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
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{"parentUuid":"9f0c1a77-b935-42d5-a329-260bf6e0ace5","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018nqU4FawvWMsG7dUEdh4m7","type":"tool_result","content":"1\timport { tool } from \"ai\";\n2\timport { z } from \"zod\";\n3\t\n4\t/**\n5\t * Journalise toute question dont la réponse n'est PAS dans knowledge.md, pour\n6\t * enrichir la base de connaissance plus tard (boucle de feedback).\n7\t * POC : log structuré (visible dans les logs Vercel).\n8\t */\n9\texport const logUnanswered = tool({\n10\t  description:\n11\t    \"À appeler quand la base de connaissances NE contient PAS la réponse à la question de \" +\n12\t    \"l'utilisateur. Journalise la question pour amélioration ultérieure. Ensuite, reconnais \" +\n13\t    \"honnêtement la limite et oriente vers le formulaire de contact (suggest_page contact).\",\n14\t  inputSchema: z.object({\n15\t    question: z\n16\t      .string()\n17\t      .describe(\"La question de l'utilisateur restée sans réponse (verbatim ou reformulée).\"),\n18\t  }),\n19\t  execute: async ({ question }) => {\n20\t    console.log(\n21\t      \"[covalba-unanswered]\",\n22\t      JSON.stringify({ question, at: new Date().toISOString() }),\n23\t    );\n24\t    return { logged: true };\n25\t  },\n26\t});\n27\t"}]},"uuid":"3d522489-6cc9-453e-84a0-1d85ac2f1fa0","timestamp":"2026-06-23T12:09:36.704Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/log-unanswered.ts","content":"import { tool } from \"ai\";\nimport { z } from \"zod\";\n\n/**\n * Journalise toute question dont la réponse n'est PAS dans knowledge.md, pour\n * enrichir la base de connaissance plus tard (boucle de feedback).\n * POC : log structuré (visible dans les logs Vercel).\n */\nexport const logUnanswered = tool({\n  description:\n    \"À appeler quand la base de connaissances NE contient PAS la réponse à la question de \" +\n    \"l'utilisateur. Journalise la question pour amélioration ultérieure. Ensuite, reconnais \" +\n    \"honnêtement la limite et oriente vers le formulaire de contact (suggest_page contact).\",\n  inputSchema: z.object({\n    question: z\n      .string()\n      .describe(\"La question de l'utilisateur restée sans réponse (verbatim ou reformulée).\"),\n  }),\n  execute: async ({ question }) => {\n    console.log(\n      \"[covalba-unanswered]\",\n      JSON.stringify({ question, at: new Date().toISOString() }),\n    );\n    return { logged: true };\n  },\n});\n","numLines":27,"startLine":1,"totalLines":27}},"sourceToolAssistantUUID":"9f0c1a77-b935-42d5-a329-260bf6e0ace5","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"3d522489-6cc9-453e-84a0-1d85ac2f1fa0","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01HKSAbk6YTLfnhEvDgGqsjb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01H9S28onQqd4twvzkvV9CCn","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/suggest-followups.ts"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4890,"cache_read_input_tokens":26533,"output_tokens":304,"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":4890},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":304,"cache_read_input_tokens":26533,"cache_creation_input_tokens":4890,"cache_creation":{"ephemeral_5m_input_tokens":4890,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAdMoEMKedX5r7wNhKX","attributionAgent":"Explore","type":"assistant","uuid":"c74abce6-360d-4e7d-8066-cbdfd6e1b0f4","timestamp":"2026-06-23T12:09:37.114Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"c74abce6-360d-4e7d-8066-cbdfd6e1b0f4","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01H9S28onQqd4twvzkvV9CCn","type":"tool_result","content":"1\timport { tool } from \"ai\";\n2\timport { z } from \"zod\";\n3\t\n4\t/**\n5\t * Propose 2-3 relances courtes (bulles cliquables côté UI). Ce sont des\n6\t * QUESTIONS que l'utilisateur pourrait poser ensuite — jamais des affirmations\n7\t * ni des chiffres inventés. Le modèle l'appelle EN DERNIER, après sa réponse.\n8\t */\n9\texport const suggestFollowups = tool({\n10\t  description:\n11\t    \"Propose 2 à 3 relances courtes que l'utilisateur pourrait vouloir poser ensuite, \" +\n12\t    \"ou des options de réponse à ta propre question (ex. types de toiture). \" +\n13\t    \"À appeler EN DERNIER, après ton texte. Formulées du point de vue de l'utilisateur, \" +\n14\t    \"en français, ≤ 70 caractères, sans inventer de fait ni de chiffre.\",\n15\t  inputSchema: z.object({\n16\t    suggestions: z\n17\t      .array(z.string().max(80))\n18\t      .min(2)\n19\t      .max(3)\n20\t      .describe(\"2 à 3 relances/options courtes, point de vue utilisateur.\"),\n21\t  }),\n22\t  // L'echo de l'input ferme l'appel d'outil → la boucle peut se terminer.\n23\t  execute: async ({ suggestions }) => ({ suggestions }),\n24\t});\n25\t"}]},"uuid":"61d27bd2-eafb-4dfb-a605-2cbeb51e0229","timestamp":"2026-06-23T12:09:37.140Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/suggest-followups.ts","content":"import { tool } from \"ai\";\nimport { z } from \"zod\";\n\n/**\n * Propose 2-3 relances courtes (bulles cliquables côté UI). Ce sont des\n * QUESTIONS que l'utilisateur pourrait poser ensuite — jamais des affirmations\n * ni des chiffres inventés. Le modèle l'appelle EN DERNIER, après sa réponse.\n */\nexport const suggestFollowups = tool({\n  description:\n    \"Propose 2 à 3 relances courtes que l'utilisateur pourrait vouloir poser ensuite, \" +\n    \"ou des options de réponse à ta propre question (ex. types de toiture). \" +\n    \"À appeler EN DERNIER, après ton texte. Formulées du point de vue de l'utilisateur, \" +\n    \"en français, ≤ 70 caractères, sans inventer de fait ni de chiffre.\",\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/options courtes, point de vue utilisateur.\"),\n  }),\n  // L'echo de l'input ferme l'appel d'outil → la boucle peut se terminer.\n  execute: async ({ suggestions }) => ({ suggestions }),\n});\n","numLines":25,"startLine":1,"totalLines":25}},"sourceToolAssistantUUID":"c74abce6-360d-4e7d-8066-cbdfd6e1b0f4","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"61d27bd2-eafb-4dfb-a605-2cbeb51e0229","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01HKSAbk6YTLfnhEvDgGqsjb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LF8N9wsk6tbss2kmVgtu62","name":"Bash","input":{"command":"ls -lh /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4890,"cache_read_input_tokens":26533,"output_tokens":304,"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":4890},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":304,"cache_read_input_tokens":26533,"cache_creation_input_tokens":4890,"cache_creation":{"ephemeral_5m_input_tokens":4890,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAdMoEMKedX5r7wNhKX","attributionAgent":"Explore","type":"assistant","uuid":"ded0cecd-e087-4b33-b480-e58fb0d91525","timestamp":"2026-06-23T12:09:37.169Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"ded0cecd-e087-4b33-b480-e58fb0d91525","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LF8N9wsk6tbss2kmVgtu62","type":"tool_result","content":"-rw-r--r-- 1 dev dev 14K Jun 23 12:05 /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md","is_error":false}]},"uuid":"0a0a0e5e-cc5f-4416-96d6-19a12f39b0ac","timestamp":"2026-06-23T12:09:37.248Z","toolUseResult":{"stdout":"-rw-r--r-- 1 dev dev 14K Jun 23 12:05 /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"ded0cecd-e087-4b33-b480-e58fb0d91525","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"0a0a0e5e-cc5f-4416-96d6-19a12f39b0ac","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01TchZXPDcXnkj5mJv9Vh8HK","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the routes and rate-limit configuration:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":1753,"cache_read_input_tokens":31423,"cache_creation":{"ephemeral_5m_input_tokens":1753,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAdabfgx1En37WeySDV","attributionAgent":"Explore","type":"assistant","uuid":"73c9041f-d8d9-478d-abe3-2d2e4d797c7d","timestamp":"2026-06-23T12:09:38.947Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"73c9041f-d8d9-478d-abe3-2d2e4d797c7d","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01TchZXPDcXnkj5mJv9Vh8HK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NoJ9GceMydj4CZcgwaRucM","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/routes.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":1753,"cache_read_input_tokens":31423,"cache_creation":{"ephemeral_5m_input_tokens":1753,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAdabfgx1En37WeySDV","attributionAgent":"Explore","type":"assistant","uuid":"d8db0412-05e0-4f8c-b1ab-89871b3934be","timestamp":"2026-06-23T12:09:39.161Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"d8db0412-05e0-4f8c-b1ab-89871b3934be","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NoJ9GceMydj4CZcgwaRucM","type":"tool_result","content":"1\t/**\n2\t * Source unique de vérité des pages du site Covalba vers lesquelles le bot\n3\t * peut orienter. `suggest_page` ne peut proposer QUE ces clés (enum).\n4\t */\n5\texport const COVALBA_BASE =\n6\t  process.env.NEXT_PUBLIC_SITE_BASE_URL ?? \"https://www.covalba.fr\";\n7\t\n8\texport const ROUTES = {\n9\t  home: { path: \"/\", label: \"Accueil\" },\n10\t  simulateur: {\n11\t    path: \"/simulateur-economie-energie\",\n12\t    label: \"Simulateur d'économies d'énergie\",\n13\t  },\n14\t  estimation: { path: \"/estimation\", label: \"Estimation de prix\" },\n15\t  diagnostic: { path: \"/diagnostic\", label: \"Diagnostic toiture\" },\n16\t  contact: { path: \"/contact\", label: \"Contact\" },\n17\t  applicateur: {\n18\t    path: \"/devenir-applicateur\",\n19\t    label: \"Devenir applicateur\",\n20\t  },\n21\t  qui_sommes_nous: { path: \"/qui-sommes-nous\", label: \"Qui sommes-nous\" },\n22\t  prime_cee: { path: \"/bat-en-112\", label: \"Prime CEE (BAT-EN-112)\" },\n23\t  covatherm: { path: \"/solutions/covatherm\", label: \"CovaTherm\" },\n24\t  covatherm_light: {\n25\t    path: \"/solutions/covatherm-light\",\n26\t    label: \"CovaTherm Light\",\n27\t  },\n28\t  covaseal_20: { path: \"/solutions/covaseal-20\", label: \"CovaSeal 20\" },\n29\t  covametal_20: { path: \"/solutions/covametal-20\", label: \"CovaMetal 20\" },\n30\t  guide: { path: \"/guide-cool-roof\", label: \"Guide Cool Roof\" },\n31\t  faq: { path: \"/faq\", label: \"FAQ\" },\n32\t  references: { path: \"/references\", label: \"Références chantiers\" },\n33\t  blog: { path: \"/blog\", label: \"Blog\" },\n34\t  // Pages par type de toiture\n35\t  membrane_bitumineuse: {\n36\t    path: \"/toitures/membrane-bitumineuse\",\n37\t    label: \"Toiture membrane bitumineuse\",\n38\t  },\n39\t  bac_acier: { path: \"/toitures/bac-acier\", label: \"Toiture bac acier\" },\n40\t  toiture_plate: { path: \"/toitures/toiture-plate\", label: \"Toiture plate\" },\n41\t  fibrociment: { path: \"/toitures/fibrociment\", label: \"Toiture fibrociment\" },\n42\t  tuiles_ciment: {\n43\t    path: \"/toitures/tuiles-ciment\",\n44\t    label: \"Toiture tuiles ciment\",\n45\t  },\n46\t  // Secteurs\n47\t  industrie: { path: \"/industrie\", label: \"Industrie (vue d'ensemble)\" },\n48\t  tertiaire: { path: \"/industries/tertiaire\", label: \"Secteur tertiaire\" },\n49\t  distribution: {\n50\t    path: \"/industries/distribution\",\n51\t    label: \"Grande distribution\",\n52\t  },\n53\t  logistique: { path: \"/industries/logistique\", label: \"Logistique\" },\n54\t  collectivites: {\n55\t    path: \"/industries/collectivites\",\n56\t    label: \"Collectivités\",\n57\t  },\n58\t  agricole: { path: \"/industries/agricole\", label: \"Agricole / agroalimentaire\" },\n59\t  erp: { path: \"/industries/erp\", label: \"ERP\" },\n60\t} as const;\n61\t\n62\texport type RouteKey = keyof typeof ROUTES;\n63\t\n64\texport const ROUTE_KEYS = Object.keys(ROUTES) as [RouteKey, ...RouteKey[]];\n65\t\n66\texport function resolveRoute(key: RouteKey) {\n67\t  const r = ROUTES[key];\n68\t  return { label: r.label, url: `${COVALBA_BASE}${r.path}` };\n69\t}\n70\t"}]},"uuid":"aa153d88-1dae-4a86-a411-696f9233a558","timestamp":"2026-06-23T12:09:39.184Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/routes.ts","content":"/**\n * Source unique de vérité des pages du site Covalba vers lesquelles le bot\n * peut orienter. `suggest_page` ne peut proposer QUE ces clés (enum).\n */\nexport const COVALBA_BASE =\n  process.env.NEXT_PUBLIC_SITE_BASE_URL ?? \"https://www.covalba.fr\";\n\nexport const ROUTES = {\n  home: { path: \"/\", label: \"Accueil\" },\n  simulateur: {\n    path: \"/simulateur-economie-energie\",\n    label: \"Simulateur d'économies d'énergie\",\n  },\n  estimation: { path: \"/estimation\", label: \"Estimation de prix\" },\n  diagnostic: { path: \"/diagnostic\", label: \"Diagnostic toiture\" },\n  contact: { path: \"/contact\", label: \"Contact\" },\n  applicateur: {\n    path: \"/devenir-applicateur\",\n    label: \"Devenir applicateur\",\n  },\n  qui_sommes_nous: { path: \"/qui-sommes-nous\", label: \"Qui sommes-nous\" },\n  prime_cee: { path: \"/bat-en-112\", label: \"Prime CEE (BAT-EN-112)\" },\n  covatherm: { path: \"/solutions/covatherm\", label: \"CovaTherm\" },\n  covatherm_light: {\n    path: \"/solutions/covatherm-light\",\n    label: \"CovaTherm Light\",\n  },\n  covaseal_20: { path: \"/solutions/covaseal-20\", label: \"CovaSeal 20\" },\n  covametal_20: { path: \"/solutions/covametal-20\", label: \"CovaMetal 20\" },\n  guide: { path: \"/guide-cool-roof\", label: \"Guide Cool Roof\" },\n  faq: { path: \"/faq\", label: \"FAQ\" },\n  references: { path: \"/references\", label: \"Références chantiers\" },\n  blog: { path: \"/blog\", label: \"Blog\" },\n  // Pages par type de toiture\n  membrane_bitumineuse: {\n    path: \"/toitures/membrane-bitumineuse\",\n    label: \"Toiture membrane bitumineuse\",\n  },\n  bac_acier: { path: \"/toitures/bac-acier\", label: \"Toiture bac acier\" },\n  toiture_plate: { path: \"/toitures/toiture-plate\", label: \"Toiture plate\" },\n  fibrociment: { path: \"/toitures/fibrociment\", label: \"Toiture fibrociment\" },\n  tuiles_ciment: {\n    path: \"/toitures/tuiles-ciment\",\n    label: \"Toiture tuiles ciment\",\n  },\n  // Secteurs\n  industrie: { path: \"/industrie\", label: \"Industrie (vue d'ensemble)\" },\n  tertiaire: { path: \"/industries/tertiaire\", label: \"Secteur tertiaire\" },\n  distribution: {\n    path: \"/industries/distribution\",\n    label: \"Grande distribution\",\n  },\n  logistique: { path: \"/industries/logistique\", label: \"Logistique\" },\n  collectivites: {\n    path: \"/industries/collectivites\",\n    label: \"Collectivités\",\n  },\n  agricole: { path: \"/industries/agricole\", label: \"Agricole / agroalimentaire\" },\n  erp: { path: \"/industries/erp\", label: \"ERP\" },\n} as const;\n\nexport type RouteKey = keyof typeof ROUTES;\n\nexport const ROUTE_KEYS = Object.keys(ROUTES) as [RouteKey, ...RouteKey[]];\n\nexport function resolveRoute(key: RouteKey) {\n  const r = ROUTES[key];\n  return { label: r.label, url: `${COVALBA_BASE}${r.path}` };\n}\n","numLines":70,"startLine":1,"totalLines":70}},"sourceToolAssistantUUID":"d8db0412-05e0-4f8c-b1ab-89871b3934be","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"aa153d88-1dae-4a86-a411-696f9233a558","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01TchZXPDcXnkj5mJv9Vh8HK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013w3fTLjDGf5UkkhEX1kPQC","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/rate-limit.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":1753,"cache_read_input_tokens":31423,"cache_creation":{"ephemeral_5m_input_tokens":1753,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAdabfgx1En37WeySDV","attributionAgent":"Explore","type":"assistant","uuid":"5b39aa64-1abd-4819-b31d-81e905b9b682","timestamp":"2026-06-23T12:09:39.266Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"5b39aa64-1abd-4819-b31d-81e905b9b682","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013w3fTLjDGf5UkkhEX1kPQC","type":"tool_result","content":"1\t/**\n2\t * Rate limiting pluggable.\n3\t *  - Par défaut : token bucket EN MÉMOIRE par IP (per-instance, suffisant pour le POC).\n4\t *  - Si UPSTASH_REDIS_REST_URL/TOKEN présents : Upstash sliding window (global, prod).\n5\t * Vercel KV est déprécié → Upstash directement.\n6\t */\n7\t\n8\tconst LIMIT = 20; // requêtes\n9\tconst WINDOW_MS = 60_000; // par minute\n10\t\n11\ttype Limiter = (ip: string) => Promise<{ success: boolean }>;\n12\t\n13\tlet limiterPromise: Promise<Limiter> | null = null;\n14\t\n15\tasync function buildLimiter(): Promise<Limiter> {\n16\t  if (\n17\t    process.env.UPSTASH_REDIS_REST_URL &&\n18\t    process.env.UPSTASH_REDIS_REST_TOKEN\n19\t  ) {\n20\t    const { Ratelimit } = await import(\"@upstash/ratelimit\");\n21\t    const { Redis } = await import(\"@upstash/redis\");\n22\t    const rl = new Ratelimit({\n23\t      redis: Redis.fromEnv(),\n24\t      limiter: Ratelimit.slidingWindow(LIMIT, \"1 m\"),\n25\t      prefix: \"covalba-chat\",\n26\t    });\n27\t    return async (ip) => ({ success: (await rl.limit(ip)).success });\n28\t  }\n29\t\n30\t  // Fallback en mémoire (token bucket)\n31\t  const buckets = new Map<string, { tokens: number; ts: number }>();\n32\t  const refillPerMs = LIMIT / WINDOW_MS;\n33\t  return async (ip) => {\n34\t    const now = Date.now();\n35\t    const b = buckets.get(ip) ?? { tokens: LIMIT, ts: now };\n36\t    b.tokens = Math.min(LIMIT, b.tokens + (now - b.ts) * refillPerMs);\n37\t    b.ts = now;\n38\t    if (b.tokens < 1) {\n39\t      buckets.set(ip, b);\n40\t      return { success: false };\n41\t    }\n42\t    b.tokens -= 1;\n43\t    buckets.set(ip, b);\n44\t    return { success: true };\n45\t  };\n46\t}\n47\t\n48\texport async function rateLimit(ip: string): Promise<{ success: boolean }> {\n49\t  limiterPromise ??= buildLimiter();\n50\t  return (await limiterPromise)(ip);\n51\t}\n52\t"}]},"uuid":"255c2617-6211-49ad-8f62-09bc3fb9dec8","timestamp":"2026-06-23T12:09:39.292Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/rate-limit.ts","content":"/**\n * Rate limiting pluggable.\n *  - Par défaut : token bucket EN MÉMOIRE par IP (per-instance, suffisant pour le POC).\n *  - Si UPSTASH_REDIS_REST_URL/TOKEN présents : Upstash sliding window (global, prod).\n * Vercel KV est déprécié → Upstash directement.\n */\n\nconst LIMIT = 20; // requêtes\nconst WINDOW_MS = 60_000; // par minute\n\ntype Limiter = (ip: string) => Promise<{ success: boolean }>;\n\nlet limiterPromise: Promise<Limiter> | null = null;\n\nasync function buildLimiter(): Promise<Limiter> {\n  if (\n    process.env.UPSTASH_REDIS_REST_URL &&\n    process.env.UPSTASH_REDIS_REST_TOKEN\n  ) {\n    const { Ratelimit } = await import(\"@upstash/ratelimit\");\n    const { Redis } = await import(\"@upstash/redis\");\n    const rl = new Ratelimit({\n      redis: Redis.fromEnv(),\n      limiter: Ratelimit.slidingWindow(LIMIT, \"1 m\"),\n      prefix: \"covalba-chat\",\n    });\n    return async (ip) => ({ success: (await rl.limit(ip)).success });\n  }\n\n  // Fallback en mémoire (token bucket)\n  const buckets = new Map<string, { tokens: number; ts: number }>();\n  const refillPerMs = LIMIT / WINDOW_MS;\n  return async (ip) => {\n    const now = Date.now();\n    const b = buckets.get(ip) ?? { tokens: LIMIT, ts: now };\n    b.tokens = Math.min(LIMIT, b.tokens + (now - b.ts) * refillPerMs);\n    b.ts = now;\n    if (b.tokens < 1) {\n      buckets.set(ip, b);\n      return { success: false };\n    }\n    b.tokens -= 1;\n    buckets.set(ip, b);\n    return { success: true };\n  };\n}\n\nexport async function rateLimit(ip: string): Promise<{ success: boolean }> {\n  limiterPromise ??= buildLimiter();\n  return (await limiterPromise)(ip);\n}\n","numLines":52,"startLine":1,"totalLines":52}},"sourceToolAssistantUUID":"5b39aa64-1abd-4819-b31d-81e905b9b682","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"255c2617-6211-49ad-8f62-09bc3fb9dec8","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01TchZXPDcXnkj5mJv9Vh8HK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ETtxGgnTbbbPcyBa1dpMxe","name":"Bash","input":{"command":"head -100 /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":1753,"cache_read_input_tokens":31423,"output_tokens":226,"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":1753},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":226,"cache_read_input_tokens":31423,"cache_creation_input_tokens":1753,"cache_creation":{"ephemeral_5m_input_tokens":1753,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAdabfgx1En37WeySDV","attributionAgent":"Explore","type":"assistant","uuid":"de955448-88c6-43a7-bb7c-be60098e06cb","timestamp":"2026-06-23T12:09:39.435Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"de955448-88c6-43a7-bb7c-be60098e06cb","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ETtxGgnTbbbPcyBa1dpMxe","type":"tool_result","content":"# Base de connaissances — Covalba (Cool Roof)\n\n> Source : contenu du site covalba.fr. Tous les chiffres ci-dessous sont **issus du site**.\n> Ne jamais inventer une valeur absente de ce document. Pour un montant précis (devis, prime,\n> économies), l'assistant **n'effectue aucun calcul** : il redirige vers la page-formulaire dédiée.\n\n---\n\n## 1. L'entreprise\n\n- **Covalba** : fabricant français de revêtements Cool Roof (anti-chaleur) pour bâtiments professionnels.\n- **Société créée en 2011** ; **marque Covalba lancée en 2018** (début de commercialisation de la peinture réfléchissante).\n- Se présente comme **expert et technicien de la toiture**, pas peintre généraliste. Conçoit **et** fabrique ses revêtements en France.\n- Repères : **14 ans de R&D**, **+500 chantiers** réalisés, **+2 millions de m²** traités en France, **10 collaborateurs**, **90 clients grands comptes**, note Google 5/5.\n- Fondateurs : **Maxime et Bertrand**, présents sur le terrain.\n- **Réseau d'applicateurs certifiés** : ~40 applicateurs agréés en France métropolitaine + outre-mer (Guyane, Guadeloupe), Europe (Belgique, Espagne, Suisse) et Afrique.\n- **Zone d'intervention : France entière, DOM-TOM inclus** (réseau aussi à l'international).\n- Presse : Capital, Le Figaro Immobilier, Le Parisien, Zepros, France Bleu.\n- **Coordonnées** : téléphone **+33 2 38 77 57 08**, email **contact@covalba.fr**, siège **23 rue Antigna, 45000 Orléans**. À ne communiquer **que si le visiteur les demande explicitement** ; sinon, orienter vers la **page Contact** / les formulaires du site (estimation, diagnostic).\n\n## 2. Qu'est-ce que le Cool Roof ?\n\nRevêtement **réfléchissant** appliqué sur une toiture existante : il **réfléchit le rayonnement solaire** au lieu de l'absorber. Résultat : température intérieure plus basse l'été, moins de climatisation, et étanchéité protégée des UV et de la chaleur (donc qui dure plus longtemps).\n\nIndicateurs techniques (technologie CovaTherm) :\n- **Réflectance solaire** : jusqu'à **94 %** du rayonnement réfléchi.\n- **Émissivité thermique** : **88 %** de la chaleur reçue renvoyée.\n- **SRI** (Solar Reflectance Index, norme **ASTM E1980**) : **119 à l'état neuf, 118 après vieillissement** (test accéléré 4 000 h).\n- Une toiture sombre peut dépasser **80 °C** en surface l'été ; le cool roof fait baisser la **surface** d'environ **-7,5 °C** mesuré, et l'**intérieur** de **-8 à -10 °C** (jusqu'à -13 °C constatés en pic sur certains chantiers).\n\n## 3. Produits\n\n### CovaTherm (CovaTherm 8 & CovaTherm 20) — `/solutions/covatherm`\nPeinture cool roof opaque, résine **polyuréthane** ; CovaTherm 20 ajoute un **vernis de finition Top Coat anti-UV**.\n- Supports : ~80 % des toitures — membrane bitumineuse (80 % des chantiers), béton, EPDM, fibrociment, ardoise/tuile jusqu'à 15° de pente, PVC.\n- **CovaTherm 8** : garantie **8 ans** (couche d'entretien à 8-10 ans). Prix **18-20 €/m²**.\n- **CovaTherm 20** : performances maintenues **20 ans** sans reprise. Prix **20-25 €/m²**.\n- SRI 119 neuf / 118 vieilli ; rebouche les microfissures jusqu'à **2 mm** ; poids **0,8-1,2 kg/m²** (pas de renfort de charpente).\n- Éligible Prime CEE (BAT-EN-112).\n\n### CovaTherm Light (laque solaire) — `/solutions/covatherm-light`\nLaque **non opacifiante** pour surfaces **translucides** : lanterneaux, voûtes éclairantes, skydômes en **polycarbonate** ou polyester. **Pas pour le vitrage/verrière.**\n- Filtre **jusqu'à 98 % des UV**, rejette **75 %** de l'énergie solaire, préserve **jusqu'à 65 %** de luminosité. Gain **-5 °C** sous les surfaces traitées.\n- Durée de vie **5 à 8 ans** (selon le support polycarbonate). **Non éligible** Prime CEE. Prix au devis.\n- Pertinent quand les lanterneaux occupent **≥ 25 %** de la toiture.\n\n### CovaSeal 20 — `/solutions/covaseal-20`\n**Étanchéité liquide + cool roof en une application** (résine acrylique élastomère + Top Coat). Pour toitures plates/faible pente avec microfissures, boursouflures ou petites infiltrations.\n- Durée **20 ans**, prolonge l'étanchéité existante de **8-10 ans**. SRI **107**. Rebouche jusqu'à 2 mm. Application entre **10 et 35 °C**.\n- Prix **20-25 € HT/m²** tout compris (dégressif > 2 000 m²). Éligible CEE. Classement feu **Broof(t3)**.\n\n### CovaMetal 20 — `/solutions/covametal-20`\n**Anti-corrosion + étanchéité + cool roof** pour toitures **métalliques / bac acier** (corrodées mais saines).\n- Résine élastomère (200 % d'allongement) + anti-corrosion ; réfléchit jusqu'à **90 %** du rayonnement. SRI **107**. Durée **20 ans**.\n- Prix **20-25 € HT/m²** tout compris vs **80-120 €/m²** pour un remplacement de bac acier. Éligible CEE. Broof(t3).\n\n## 4. Prix & ROI\n\n- Cool roof posé : **18-25 €/m²** (souvent annoncé **20-25 € HT/m²** tout compris : diagnostic, préparation, fourniture, pose). Dégressif au-delà de **2 000 m²**.\n- Comparaison : **80-100 €/m²** pour une membrane d'étanchéité neuve, **~150 €/m²** pour un remplacement isolation + étanchéité. Le cool roof divise le budget de rénovation par **3 à 7**.\n- **ROI moyen ~14 mois**. Économie de climatisation : **20 à 40 %** (≈ 15 000 à 50 000 €/an selon la surface). ROI plus rapide sur les sites frigorifiques/froid de process.\n- Le prix exact dépend de la surface, de l'état du support et de la durée de vie visée → orienter vers la page **Estimation**.\n\n## 5. Types de toiture\n\n- **Membrane bitumineuse** (`/toitures/membrane-bitumineuse`) — produit CovaTherm (ou CovaSeal 20 si étanchéité fatiguée). 80 % des chantiers Covalba.\n- **Bac acier** (`/toitures/bac-acier`) — CovaMetal 20 (corrosion + réflectif) + finition CovaTherm, sans dépose de tôle. Ne s'applique pas sur tôle perforée.\n- **Toiture plate / terrasse** (`/toitures/toiture-plate`) — CovaSeal 20 (étanchéité + fraîcheur).\n- **Fibrociment** (`/toitures/fibrociment`) — CovaTherm avec préparation douce (nettoyage sans haute pression). **Si amiante : relève de la réglementation amiante** (cadre précisé à l'étude technique), sans dépose.\n- **Tuiles ciment** (`/toitures/tuiles-ciment`) — CovaTherm adapté supports poreux, sans dépose.\n\n## 6. Secteurs\n\nCovalba cible le **B2B, bâtiments professionnels de grande toiture** (à partir de ~1 000 m²). Pages dédiées :\n- **Industrie** (`/industrie`, `/industries/...`) : usines, agroalimentaire, pharma, aéronautique/défense. Jusqu'à **-40 %** de besoins de climatisation. **Non éligible** prime CEE (→ aides régionales, ADEME, ICPE).\n- **Tertiaire / bureaux** (`/industries/tertiaire`) : confort des derniers étages, **décret tertiaire** (-40 % d'ici 2030, -50 % 2040, -60 % 2050 pour les bâtiments > 1 000 m²). Bureaux purs **non éligibles** CEE.\n- **Distribution / grande surface** (`/industries/distribution`) : confort client + soulagement des meubles froids. Souvent **éligible CEE** (usage commercial + PAC).\n- **Logistique** (`/industries/logistique`) : grands entrepôts, bac acier ; ROI le plus rapide sur les entrepôts **frigorifiques**.\n- **Collectivités** (`/industries/collectivites`) : écoles, gymnases, EHPAD, mairies. **Pas de CEE** mais **Fonds Vert** (jusqu'à 80 % des dépenses éligibles, cumulable DETR/DSIL).\n- **Agricole** (`/industries/agricole`) : élevage (stress thermique des bovins dès 22 °C), bâtiments bac acier/fibrociment. Aide **PCAE** (~30 % des dépenses, régional). Pas de CEE.\n- **ERP** (`/industries/erp`) : hôtels, restaurants, cinémas, salles de sport… Certains ERP commerciaux climatisés par PAC peuvent être éligibles CEE.\n\n## 7. Prime CEE / BAT-EN-112\n\nFiche d'opération standardisée **BAT-EN-112** (Certificats d'Économies d'Énergie).\n- **Barème par zone climatique** : **H1 (Nord/Est) = 160**, **H2 (façade atlantique/Sud-Ouest) = 170**, **H3 (pourtour méditerranéen + Corse) = 270** kWh cumac/m². Le Sud (H3) rapporte le plus.\n- **Éligibilité restreinte** : bâtiment **tertiaire à usage commercial** (magasins, galeries…), **chaud ET froid par pompe à chaleur**, toiture sans revêtement réflectif avant travaux, produit gardant un **SRI > 100 neuf et > 90 vieilli**, durée conventionnelle 20 ans. **Non cumulable** avec BAT-EN-109.\n- **Non éligibles** : industrie, bureaux, collectivités, résidentiel.\n- **Règle d'or** : ne jamais signer le devis des travaux **avant** d'avoir initié la démarche CEE (sinon l'opération n'est plus éligible).\n- L'assistant **ne calcule pas** le montant → page **Prime CEE (BAT-EN-112)**.\n\n## 8. Pose & chantier\n\n- **Application en sécurité** : les machines restent au pied du bâtiment, **seuls les flexibles montent** sur le toit → pas de charge sur l'étanchéité, pas de risque d'effondrement.\n- Préparation : **nettoyage haute pression** (doux sur fibrociment), reprise des points singuliers, primaire ; pas de décapage. Les fuites actives sont traitées avant.\n- **Chantier 2 à 5 jours**, depuis l'extérieur, **sans interruption d'activité**, compatible HACCP/BPF/ISO.\n- Pose réservée aux **applicateurs certifiés** (condition de la garantie fabricant). **Garantie biennale** sur l'adhésion ; la **garantie décennale** de l'étanchéité existante est maintenue.\n\n## 9. Questions fréquentes (réponses du site)","is_error":false}]},"uuid":"672d97da-0228-467e-939e-b19fb89d3995","timestamp":"2026-06-23T12:09:39.553Z","toolUseResult":{"stdout":"# Base de connaissances — Covalba (Cool Roof)\n\n> Source : contenu du site covalba.fr. Tous les chiffres ci-dessous sont **issus du site**.\n> Ne jamais inventer une valeur absente de ce document. Pour un montant précis (devis, prime,\n> économies), l'assistant **n'effectue aucun calcul** : il redirige vers la page-formulaire dédiée.\n\n---\n\n## 1. L'entreprise\n\n- **Covalba** : fabricant français de revêtements Cool Roof (anti-chaleur) pour bâtiments professionnels.\n- **Société créée en 2011** ; **marque Covalba lancée en 2018** (début de commercialisation de la peinture réfléchissante).\n- Se présente comme **expert et technicien de la toiture**, pas peintre généraliste. Conçoit **et** fabrique ses revêtements en France.\n- Repères : **14 ans de R&D**, **+500 chantiers** réalisés, **+2 millions de m²** traités en France, **10 collaborateurs**, **90 clients grands comptes**, note Google 5/5.\n- Fondateurs : **Maxime et Bertrand**, présents sur le terrain.\n- **Réseau d'applicateurs certifiés** : ~40 applicateurs agréés en France métropolitaine + outre-mer (Guyane, Guadeloupe), Europe (Belgique, Espagne, Suisse) et Afrique.\n- **Zone d'intervention : France entière, DOM-TOM inclus** (réseau aussi à l'international).\n- Presse : Capital, Le Figaro Immobilier, Le Parisien, Zepros, France Bleu.\n- **Coordonnées** : téléphone **+33 2 38 77 57 08**, email **contact@covalba.fr**, siège **23 rue Antigna, 45000 Orléans**. À ne communiquer **que si le visiteur les demande explicitement** ; sinon, orienter vers la **page Contact** / les formulaires du site (estimation, diagnostic).\n\n## 2. Qu'est-ce que le Cool Roof ?\n\nRevêtement **réfléchissant** appliqué sur une toiture existante : il **réfléchit le rayonnement solaire** au lieu de l'absorber. Résultat : température intérieure plus basse l'été, moins de climatisation, et étanchéité protégée des UV et de la chaleur (donc qui dure plus longtemps).\n\nIndicateurs techniques (technologie CovaTherm) :\n- **Réflectance solaire** : jusqu'à **94 %** du rayonnement réfléchi.\n- **Émissivité thermique** : **88 %** de la chaleur reçue renvoyée.\n- **SRI** (Solar Reflectance Index, norme **ASTM E1980**) : **119 à l'état neuf, 118 après vieillissement** (test accéléré 4 000 h).\n- Une toiture sombre peut dépasser **80 °C** en surface l'été ; le cool roof fait baisser la **surface** d'environ **-7,5 °C** mesuré, et l'**intérieur** de **-8 à -10 °C** (jusqu'à -13 °C constatés en pic sur certains chantiers).\n\n## 3. Produits\n\n### CovaTherm (CovaTherm 8 & CovaTherm 20) — `/solutions/covatherm`\nPeinture cool roof opaque, résine **polyuréthane** ; CovaTherm 20 ajoute un **vernis de finition Top Coat anti-UV**.\n- Supports : ~80 % des toitures — membrane bitumineuse (80 % des chantiers), béton, EPDM, fibrociment, ardoise/tuile jusqu'à 15° de pente, PVC.\n- **CovaTherm 8** : garantie **8 ans** (couche d'entretien à 8-10 ans). Prix **18-20 €/m²**.\n- **CovaTherm 20** : performances maintenues **20 ans** sans reprise. Prix **20-25 €/m²**.\n- SRI 119 neuf / 118 vieilli ; rebouche les microfissures jusqu'à **2 mm** ; poids **0,8-1,2 kg/m²** (pas de renfort de charpente).\n- Éligible Prime CEE (BAT-EN-112).\n\n### CovaTherm Light (laque solaire) — `/solutions/covatherm-light`\nLaque **non opacifiante** pour surfaces **translucides** : lanterneaux, voûtes éclairantes, skydômes en **polycarbonate** ou polyester. **Pas pour le vitrage/verrière.**\n- Filtre **jusqu'à 98 % des UV**, rejette **75 %** de l'énergie solaire, préserve **jusqu'à 65 %** de luminosité. Gain **-5 °C** sous les surfaces traitées.\n- Durée de vie **5 à 8 ans** (selon le support polycarbonate). **Non éligible** Prime CEE. Prix au devis.\n- Pertinent quand les lanterneaux occupent **≥ 25 %** de la toiture.\n\n### CovaSeal 20 — `/solutions/covaseal-20`\n**Étanchéité liquide + cool roof en une application** (résine acrylique élastomère + Top Coat). Pour toitures plates/faible pente avec microfissures, boursouflures ou petites infiltrations.\n- Durée **20 ans**, prolonge l'étanchéité existante de **8-10 ans**. SRI **107**. Rebouche jusqu'à 2 mm. Application entre **10 et 35 °C**.\n- Prix **20-25 € HT/m²** tout compris (dégressif > 2 000 m²). Éligible CEE. Classement feu **Broof(t3)**.\n\n### CovaMetal 20 — `/solutions/covametal-20`\n**Anti-corrosion + étanchéité + cool roof** pour toitures **métalliques / bac acier** (corrodées mais saines).\n- Résine élastomère (200 % d'allongement) + anti-corrosion ; réfléchit jusqu'à **90 %** du rayonnement. SRI **107**. Durée **20 ans**.\n- Prix **20-25 € HT/m²** tout compris vs **80-120 €/m²** pour un remplacement de bac acier. Éligible CEE. Broof(t3).\n\n## 4. Prix & ROI\n\n- Cool roof posé : **18-25 €/m²** (souvent annoncé **20-25 € HT/m²** tout compris : diagnostic, préparation, fourniture, pose). Dégressif au-delà de **2 000 m²**.\n- Comparaison : **80-100 €/m²** pour une membrane d'étanchéité neuve, **~150 €/m²** pour un remplacement isolation + étanchéité. Le cool roof divise le budget de rénovation par **3 à 7**.\n- **ROI moyen ~14 mois**. Économie de climatisation : **20 à 40 %** (≈ 15 000 à 50 000 €/an selon la surface). ROI plus rapide sur les sites frigorifiques/froid de process.\n- Le prix exact dépend de la surface, de l'état du support et de la durée de vie visée → orienter vers la page **Estimation**.\n\n## 5. Types de toiture\n\n- **Membrane bitumineuse** (`/toitures/membrane-bitumineuse`) — produit CovaTherm (ou CovaSeal 20 si étanchéité fatiguée). 80 % des chantiers Covalba.\n- **Bac acier** (`/toitures/bac-acier`) — CovaMetal 20 (corrosion + réflectif) + finition CovaTherm, sans dépose de tôle. Ne s'applique pas sur tôle perforée.\n- **Toiture plate / terrasse** (`/toitures/toiture-plate`) — CovaSeal 20 (étanchéité + fraîcheur).\n- **Fibrociment** (`/toitures/fibrociment`) — CovaTherm avec préparation douce (nettoyage sans haute pression). **Si amiante : relève de la réglementation amiante** (cadre précisé à l'étude technique), sans dépose.\n- **Tuiles ciment** (`/toitures/tuiles-ciment`) — CovaTherm adapté supports poreux, sans dépose.\n\n## 6. Secteurs\n\nCovalba cible le **B2B, bâtiments professionnels de grande toiture** (à partir de ~1 000 m²). Pages dédiées :\n- **Industrie** (`/industrie`, `/industries/...`) : usines, agroalimentaire, pharma, aéronautique/défense. Jusqu'à **-40 %** de besoins de climatisation. **Non éligible** prime CEE (→ aides régionales, ADEME, ICPE).\n- **Tertiaire / bureaux** (`/industries/tertiaire`) : confort des derniers étages, **décret tertiaire** (-40 % d'ici 2030, -50 % 2040, -60 % 2050 pour les bâtiments > 1 000 m²). Bureaux purs **non éligibles** CEE.\n- **Distribution / grande surface** (`/industries/distribution`) : confort client + soulagement des meubles froids. Souvent **éligible CEE** (usage commercial + PAC).\n- **Logistique** (`/industries/logistique`) : grands entrepôts, bac acier ; ROI le plus rapide sur les entrepôts **frigorifiques**.\n- **Collectivités** (`/industries/collectivites`) : écoles, gymnases, EHPAD, mairies. **Pas de CEE** mais **Fonds Vert** (jusqu'à 80 % des dépenses éligibles, cumulable DETR/DSIL).\n- **Agricole** (`/industries/agricole`) : élevage (stress thermique des bovins dès 22 °C), bâtiments bac acier/fibrociment. Aide **PCAE** (~30 % des dépenses, régional). Pas de CEE.\n- **ERP** (`/industries/erp`) : hôtels, restaurants, cinémas, salles de sport… Certains ERP commerciaux climatisés par PAC peuvent être éligibles CEE.\n\n## 7. Prime CEE / BAT-EN-112\n\nFiche d'opération standardisée **BAT-EN-112** (Certificats d'Économies d'Énergie).\n- **Barème par zone climatique** : **H1 (Nord/Est) = 160**, **H2 (façade atlantique/Sud-Ouest) = 170**, **H3 (pourtour méditerranéen + Corse) = 270** kWh cumac/m². Le Sud (H3) rapporte le plus.\n- **Éligibilité restreinte** : bâtiment **tertiaire à usage commercial** (magasins, galeries…), **chaud ET froid par pompe à chaleur**, toiture sans revêtement réflectif avant travaux, produit gardant un **SRI > 100 neuf et > 90 vieilli**, durée conventionnelle 20 ans. **Non cumulable** avec BAT-EN-109.\n- **Non éligibles** : industrie, bureaux, collectivités, résidentiel.\n- **Règle d'or** : ne jamais signer le devis des travaux **avant** d'avoir initié la démarche CEE (sinon l'opération n'est plus éligible).\n- L'assistant **ne calcule pas** le montant → page **Prime CEE (BAT-EN-112)**.\n\n## 8. Pose & chantier\n\n- **Application en sécurité** : les machines restent au pied du bâtiment, **seuls les flexibles montent** sur le toit → pas de charge sur l'étanchéité, pas de risque d'effondrement.\n- Préparation : **nettoyage haute pression** (doux sur fibrociment), reprise des points singuliers, primaire ; pas de décapage. Les fuites actives sont traitées avant.\n- **Chantier 2 à 5 jours**, depuis l'extérieur, **sans interruption d'activité**, compatible HACCP/BPF/ISO.\n- Pose réservée aux **applicateurs certifiés** (condition de la garantie fabricant). **Garantie biennale** sur l'adhésion ; la **garantie décennale** de l'étanchéité existante est maintenue.\n\n## 9. Questions fréquentes (réponses du site)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"de955448-88c6-43a7-bb7c-be60098e06cb","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
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{"parentUuid":"f8607824-ae28-4cfa-a75b-5fb4aaffc354","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015qx7mpZfDhCsYeYUQiaoXq","type":"tool_result","content":"1\t# ─────────────────────────────────────────────────────────────────────────────\n2\t# Covalba Chatbot — variables d'environnement (copier vers .env.local)\n3\t# ─────────────────────────────────────────────────────────────────────────────\n4\t\n5\t# --- Modèle : Vercel AI Gateway (chemin par défaut) ---\n6\t# En PROD sur Vercel : rien à renseigner, l'OIDC fournit le token automatiquement.\n7\t# En LOCAL : `vercel link` puis `vercel env pull .env.local` injecte un token court,\n8\t# OU renseigner explicitement la clé gateway ci-dessous.\n9\tAI_GATEWAY_API_KEY=\n10\t\n11\t# --- Fallback : provider Anthropic direct (dev local sans accès gateway) ---\n12\t# Utilisé uniquement si aucune clé/token gateway n'est présent.\n13\tANTHROPIC_API_KEY=\n14\t\n15\t# --- Rate limiting (optionnel). Sans ça : token bucket en mémoire (suffisant pour le POC). ---\n16\tUPSTASH_REDIS_REST_URL=\n17\tUPSTASH_REDIS_REST_TOKEN=\n18\t\n19\t# --- Modèle (défaut Sonnet 4.6). Surfaces gateway (point) et direct (tirets) = 2 vars. ---\n20\t# CHAT_MODEL=anthropic/claude-sonnet-4.6      # via AI Gateway\n21\t# CHAT_MODEL_DIRECT=claude-sonnet-4-6         # via provider Anthropic direct\n22\t# (laisser vide = Sonnet 4.6 par défaut ; mettre claude-haiku-4.5 / claude-haiku-4-5 pour repasser sur Haiku)\n23\t\n24\t# --- URL de base du site Covalba pour les liens suggest_page (sans slash final) ---\n25\t# Le bot ne capte pas de lead : il redirige vers les pages-formulaires du site (estimation, contact…).\n26\tNEXT_PUBLIC_SITE_BASE_URL=https://www.covalba.fr\n27\t\n28\t# --- Origines autorisées à embarquer l'iframe du chat (séparées par des espaces) ---\n29\t# Ajouter ici le domaine WordPress de prod, ex :\n30\t# FRAME_ANCESTORS=\"'self' https://covalba.com https://www.covalba.fr\"\n31\tFRAME_ANCESTORS=\n32\t\n33\t# ─── Persistance (Postgres Neon via Vercel Marketplace) ───────────────────────\n34\t# Sans DATABASE_URL : persistance désactivée (no-op), le chat marche quand même.\n35\tDATABASE_URL=\n36\tIP_HASH_SALT=                 # sel aléatoire pour hasher l'IP (jamais stockée en clair)\n37\tMASK_PII=true                 # masque emails/téléphones avant stockage (mettre false pour désactiver)\n38\tRETENTION_DAYS=180            # purge des conversations inactives au-delà (6 mois)\n39\t\n40\t# ─── Back office (Basic Auth via proxy.ts) ────────────────────────────────────\n41\tADMIN_USER=\n42\tADMIN_PASSWORD=\n43\t\n44\t# ─── Rapport mensuel (Vercel Cron + Resend) ───────────────────────────────────\n45\tCRON_SECRET=                  # aléatoire ≥16 car. ; Vercel l'envoie en Bearer\n46\tRESEND_API_KEY=               # re_... (email du rapport ; sans clé → rapport loggé seulement)\n47\tREPORT_FROM=\"Covalba Bot <onboarding@resend.dev>\"   # domaine vérifié Resend en prod\n48\tREPORT_TO=assous.tom@gmail.com                       # destinataire(s), séparés par des virgules\n49\t"}]},"uuid":"6a17e83d-bf4b-4a31-afb6-2316946e2990","timestamp":"2026-06-23T12:09:43.643Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/.env.example","content":"# ─────────────────────────────────────────────────────────────────────────────\n# Covalba Chatbot — variables d'environnement (copier vers .env.local)\n# ─────────────────────────────────────────────────────────────────────────────\n\n# --- Modèle : Vercel AI Gateway (chemin par défaut) ---\n# En PROD sur Vercel : rien à renseigner, l'OIDC fournit le token automatiquement.\n# En LOCAL : `vercel link` puis `vercel env pull .env.local` injecte un token court,\n# OU renseigner explicitement la clé gateway ci-dessous.\nAI_GATEWAY_API_KEY=\n\n# --- Fallback : provider Anthropic direct (dev local sans accès gateway) ---\n# Utilisé uniquement si aucune clé/token gateway n'est présent.\nANTHROPIC_API_KEY=\n\n# --- Rate limiting (optionnel). Sans ça : token bucket en mémoire (suffisant pour le POC). ---\nUPSTASH_REDIS_REST_URL=\nUPSTASH_REDIS_REST_TOKEN=\n\n# --- Modèle (défaut Sonnet 4.6). Surfaces gateway (point) et direct (tirets) = 2 vars. ---\n# CHAT_MODEL=anthropic/claude-sonnet-4.6      # via AI Gateway\n# CHAT_MODEL_DIRECT=claude-sonnet-4-6         # via provider Anthropic direct\n# (laisser vide = Sonnet 4.6 par défaut ; mettre claude-haiku-4.5 / claude-haiku-4-5 pour repasser sur Haiku)\n\n# --- URL de base du site Covalba pour les liens suggest_page (sans slash final) ---\n# Le bot ne capte pas de lead : il redirige vers les pages-formulaires du site (estimation, contact…).\nNEXT_PUBLIC_SITE_BASE_URL=https://www.covalba.fr\n\n# --- Origines autorisées à embarquer l'iframe du chat (séparées par des espaces) ---\n# Ajouter ici le domaine WordPress de prod, ex :\n# FRAME_ANCESTORS=\"'self' https://covalba.com https://www.covalba.fr\"\nFRAME_ANCESTORS=\n\n# ─── Persistance (Postgres Neon via Vercel Marketplace) ───────────────────────\n# Sans DATABASE_URL : persistance désactivée (no-op), le chat marche quand même.\nDATABASE_URL=\nIP_HASH_SALT=                 # sel aléatoire pour hasher l'IP (jamais stockée en clair)\nMASK_PII=true                 # masque emails/téléphones avant stockage (mettre false pour désactiver)\nRETENTION_DAYS=180            # purge des conversations inactives au-delà (6 mois)\n\n# ─── Back office (Basic Auth via proxy.ts) ────────────────────────────────────\nADMIN_USER=\nADMIN_PASSWORD=\n\n# ─── Rapport mensuel (Vercel Cron + Resend) ───────────────────────────────────\nCRON_SECRET=                  # aléatoire ≥16 car. ; Vercel l'envoie en Bearer\nRESEND_API_KEY=               # re_... (email du rapport ; sans clé → rapport loggé seulement)\nREPORT_FROM=\"Covalba Bot <onboarding@resend.dev>\"   # domaine vérifié Resend en prod\nREPORT_TO=assous.tom@gmail.com                       # destinataire(s), séparés par des virgules\n","numLines":49,"startLine":1,"totalLines":49}},"sourceToolAssistantUUID":"f8607824-ae28-4cfa-a75b-5fb4aaffc354","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"6a17e83d-bf4b-4a31-afb6-2316946e2990","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01U1LSjmJkbVwcHTmMSYLWLj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PtM7LX6iNiBRATD1ZKpvuE","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/.env.local"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":210,"cache_read_input_tokens":38691,"cache_creation":{"ephemeral_5m_input_tokens":210,"ephemeral_1h_input_tokens":0},"output_tokens":51,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAdvzWMWv4qefosxbCZ","attributionAgent":"Explore","type":"assistant","uuid":"d7b2be70-3d61-4b37-a676-e04d2f03ca9f","timestamp":"2026-06-23T12:09:43.770Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"d7b2be70-3d61-4b37-a676-e04d2f03ca9f","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PtM7LX6iNiBRATD1ZKpvuE","type":"tool_result","content":"1\t# PAF-STUDIO-CODE-PREVIEW-START\n2\t# Generated by Paf-Studio Code for the branch preview.\n3\t# Keep project config generic: read these env vars instead of hard-coding hosts or ports.\n4\tPAF_STUDIO_PREVIEW_URL=https://covalba-chatbot-tom-intesive-testing.paf-studio.dev\n5\tPAF_STUDIO_PREVIEW_HOST=covalba-chatbot-tom-intesive-testing.paf-studio.dev\n6\tPAF_STUDIO_PREVIEW_PORT=3097\n7\tHOST=0.0.0.0\n8\tPORT=3097\n9\tVITE_HOST=0.0.0.0\n10\tVITE_PORT=3097\n11\t# PAF-STUDIO-CODE-PREVIEW-END\n12\t"}]},"uuid":"f20d9b0d-018b-4482-be5d-4c3fa53c1977","timestamp":"2026-06-23T12:09:43.799Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/.env.local","content":"# PAF-STUDIO-CODE-PREVIEW-START\n# Generated by Paf-Studio Code for the branch preview.\n# Keep project config generic: read these env vars instead of hard-coding hosts or ports.\nPAF_STUDIO_PREVIEW_URL=https://covalba-chatbot-tom-intesive-testing.paf-studio.dev\nPAF_STUDIO_PREVIEW_HOST=covalba-chatbot-tom-intesive-testing.paf-studio.dev\nPAF_STUDIO_PREVIEW_PORT=3097\nHOST=0.0.0.0\nPORT=3097\nVITE_HOST=0.0.0.0\nVITE_PORT=3097\n# PAF-STUDIO-CODE-PREVIEW-END\n","numLines":12,"startLine":1,"totalLines":12}},"sourceToolAssistantUUID":"d7b2be70-3d61-4b37-a676-e04d2f03ca9f","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"f20d9b0d-018b-4482-be5d-4c3fa53c1977","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01U1LSjmJkbVwcHTmMSYLWLj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014S4hK97tGAs67L9j6u6zM6","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/persist.ts"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":210,"cache_read_input_tokens":38691,"output_tokens":205,"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":210},"inference_geo":"not_available","iterations":[{"input_tokens":5,"output_tokens":205,"cache_read_input_tokens":38691,"cache_creation_input_tokens":210,"cache_creation":{"ephemeral_5m_input_tokens":210,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAdvzWMWv4qefosxbCZ","attributionAgent":"Explore","type":"assistant","uuid":"288703fb-57f1-4081-9740-de219793f5a0","timestamp":"2026-06-23T12:09:43.959Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"288703fb-57f1-4081-9740-de219793f5a0","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014S4hK97tGAs67L9j6u6zM6","type":"tool_result","content":"1\timport crypto from \"node:crypto\";\n2\timport { sql } from \"drizzle-orm\";\n3\timport { db } from \"./db\";\n4\timport { conversations, messages, events } from \"./db/schema\";\n5\t\n6\tconst MASK_PII = process.env.MASK_PII !== \"false\"; // activé par défaut\n7\texport const RETENTION_DAYS = Number(process.env.RETENTION_DAYS ?? 180); // 6 mois\n8\t\n9\t/** Hash l'IP (jamais stockée en clair). null si IP inconnue ou pas de sel. */\n10\texport function hashIp(ip: string | null | undefined): string | null {\n11\t  if (!ip || ip === \"anon\") return null;\n12\t  return crypto\n13\t    .createHash(\"sha256\")\n14\t    .update(ip + (process.env.IP_HASH_SALT ?? \"\"))\n15\t    .digest(\"hex\");\n16\t}\n17\t\n18\t/** Masque emails et téléphones FR dans le texte stocké (RGPD). */\n19\texport function maskPII(s: string): string {\n20\t  if (!MASK_PII || !s) return s;\n21\t  return s\n22\t    .replace(/[\\w.+-]+@[\\w-]+\\.[\\w.-]+/g, \"[email]\")\n23\t    .replace(/(?:(?:\\+|00)33|0)\\s?[1-9](?:[\\s.-]?\\d{2}){4}/g, \"[tel]\");\n24\t}\n25\t\n26\ttype ToolCall = { toolName: string; input: unknown };\n27\ttype ToolResult = { toolName: string; output: unknown };\n28\t\n29\t/** Persiste un tour de conversation. Ne jette JAMAIS (appelé dans onFinish). */\n30\texport async function persistTurn(input: {\n31\t  conversationId: string;\n32\t  model: string;\n33\t  ipHash: string | null;\n34\t  userAgent: string | null;\n35\t  userText: string;\n36\t  assistantText: string;\n37\t  usage?: { inputTokens?: number; outputTokens?: number; cachedInputTokens?: number };\n38\t  finishReason?: string;\n39\t  toolCalls: ToolCall[];\n40\t  toolResults: ToolResult[];\n41\t}): Promise<void> {\n42\t  if (!db) return; // no-op si pas de DATABASE_URL\n43\t  try {\n44\t    const now = new Date();\n45\t\n46\t    await db\n47\t      .insert(conversations)\n48\t      .values({\n49\t        id: input.conversationId,\n50\t        model: input.model,\n51\t        ipHash: input.ipHash,\n52\t        userAgent: input.userAgent,\n53\t        lastMessageAt: now,\n54\t        messageCount: 2,\n55\t      })\n56\t      .onConflictDoUpdate({\n57\t        target: conversations.id,\n58\t        set: {\n59\t          lastMessageAt: now,\n60\t          model: input.model,\n61\t          messageCount: sql`${conversations.messageCount} + 2`,\n62\t        },\n63\t      });\n64\t\n65\t    await db.insert(messages).values([\n66\t      {\n67\t        conversationId: input.conversationId,\n68\t        role: \"user\",\n69\t        content: maskPII(input.userText),\n70\t      },\n71\t      {\n72\t        conversationId: input.conversationId,\n73\t        role: \"assistant\",\n74\t        content: maskPII(input.assistantText),\n75\t        inputTokens: input.usage?.inputTokens,\n76\t        outputTokens: input.usage?.outputTokens,\n77\t        cachedInputTokens: input.usage?.cachedInputTokens,\n78\t        finishReason: input.finishReason,\n79\t      },\n80\t    ]);\n81\t\n82\t    const out = (name: string) =>\n83\t      input.toolResults.find((r) => r.toolName === name)?.output as\n84\t        | Record<string, unknown>\n85\t        | undefined;\n86\t\n87\t    const evts = input.toolCalls\n88\t      .map((c) => {\n89\t        const inp = (c.input ?? {}) as Record<string, unknown>;\n90\t        if (c.toolName === \"suggest_page\") {\n91\t          const o = out(\"suggest_page\");\n92\t          return {\n93\t            conversationId: input.conversationId,\n94\t            type: \"page_suggested\",\n95\t            intent: inp.intent as string | undefined,\n96\t            label: o?.label as string | undefined,\n97\t            url: o?.url as string | undefined,\n98\t            data: { reason: o?.reason },\n99\t          };\n100\t        }\n101\t        if (c.toolName === \"log_unanswered\") {\n102\t          return {\n103\t            conversationId: input.conversationId,\n104\t            type: \"unanswered\",\n105\t            question: maskPII((inp.question as string) ?? \"\"),\n106\t          };\n107\t        }\n108\t        if (c.toolName === \"suggest_followups\") {\n109\t          const o = out(\"suggest_followups\");\n110\t          return {\n111\t            conversationId: input.conversationId,\n112\t            type: \"followups_shown\",\n113\t            data: { suggestions: o?.suggestions ?? inp.suggestions },\n114\t          };\n115\t        }\n116\t        return null;\n117\t      })\n118\t      .filter(Boolean) as (typeof events.$inferInsert)[];\n119\t\n120\t    if (evts.length) await db.insert(events).values(evts);\n121\t  } catch (e) {\n122\t    console.error(\"[persist] non-fatal\", e); // ne jamais propager dans le stream\n123\t  }\n124\t}\n125\t\n126\t/** Supprime les conversations inactives au-delà de la rétention (cascade messages+events). */\n127\texport async function purgeOld(): Promise<void> {\n128\t  if (!db) return;\n129\t  try {\n130\t    await db.delete(conversations).where(\n131\t      sql`${conversations.lastMessageAt} < now() - (${RETENTION_DAYS} || ' days')::interval`,\n132\t    );\n133\t  } catch (e) {\n134\t    console.error(\"[persist] purge failed\", e);\n135\t  }\n136\t}\n137\t"}]},"uuid":"fe593267-02ed-483b-adb2-61d0c134c9d8","timestamp":"2026-06-23T12:09:43.977Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/persist.ts","content":"import crypto from \"node:crypto\";\nimport { sql } from \"drizzle-orm\";\nimport { db } from \"./db\";\nimport { conversations, messages, events } from \"./db/schema\";\n\nconst MASK_PII = process.env.MASK_PII !== \"false\"; // activé par défaut\nexport const RETENTION_DAYS = Number(process.env.RETENTION_DAYS ?? 180); // 6 mois\n\n/** Hash l'IP (jamais stockée en clair). null si IP inconnue ou pas de sel. */\nexport function hashIp(ip: string | null | undefined): string | null {\n  if (!ip || ip === \"anon\") return null;\n  return crypto\n    .createHash(\"sha256\")\n    .update(ip + (process.env.IP_HASH_SALT ?? \"\"))\n    .digest(\"hex\");\n}\n\n/** Masque emails et téléphones FR dans le texte stocké (RGPD). */\nexport function maskPII(s: string): string {\n  if (!MASK_PII || !s) return s;\n  return s\n    .replace(/[\\w.+-]+@[\\w-]+\\.[\\w.-]+/g, \"[email]\")\n    .replace(/(?:(?:\\+|00)33|0)\\s?[1-9](?:[\\s.-]?\\d{2}){4}/g, \"[tel]\");\n}\n\ntype ToolCall = { toolName: string; input: unknown };\ntype ToolResult = { toolName: string; output: unknown };\n\n/** Persiste un tour de conversation. Ne jette JAMAIS (appelé dans onFinish). */\nexport async function persistTurn(input: {\n  conversationId: string;\n  model: string;\n  ipHash: string | null;\n  userAgent: string | null;\n  userText: string;\n  assistantText: string;\n  usage?: { inputTokens?: number; outputTokens?: number; cachedInputTokens?: number };\n  finishReason?: string;\n  toolCalls: ToolCall[];\n  toolResults: ToolResult[];\n}): Promise<void> {\n  if (!db) return; // no-op si pas de DATABASE_URL\n  try {\n    const now = new Date();\n\n    await db\n      .insert(conversations)\n      .values({\n        id: input.conversationId,\n        model: input.model,\n        ipHash: input.ipHash,\n        userAgent: input.userAgent,\n        lastMessageAt: now,\n        messageCount: 2,\n      })\n      .onConflictDoUpdate({\n        target: conversations.id,\n        set: {\n          lastMessageAt: now,\n          model: input.model,\n          messageCount: sql`${conversations.messageCount} + 2`,\n        },\n      });\n\n    await db.insert(messages).values([\n      {\n        conversationId: input.conversationId,\n        role: \"user\",\n        content: maskPII(input.userText),\n      },\n      {\n        conversationId: input.conversationId,\n        role: \"assistant\",\n        content: maskPII(input.assistantText),\n        inputTokens: input.usage?.inputTokens,\n        outputTokens: input.usage?.outputTokens,\n        cachedInputTokens: input.usage?.cachedInputTokens,\n        finishReason: input.finishReason,\n      },\n    ]);\n\n    const out = (name: string) =>\n      input.toolResults.find((r) => r.toolName === name)?.output as\n        | Record<string, unknown>\n        | undefined;\n\n    const evts = input.toolCalls\n      .map((c) => {\n        const inp = (c.input ?? {}) as Record<string, unknown>;\n        if (c.toolName === \"suggest_page\") {\n          const o = out(\"suggest_page\");\n          return {\n            conversationId: input.conversationId,\n            type: \"page_suggested\",\n            intent: inp.intent as string | undefined,\n            label: o?.label as string | undefined,\n            url: o?.url as string | undefined,\n            data: { reason: o?.reason },\n          };\n        }\n        if (c.toolName === \"log_unanswered\") {\n          return {\n            conversationId: input.conversationId,\n            type: \"unanswered\",\n            question: maskPII((inp.question as string) ?? \"\"),\n          };\n        }\n        if (c.toolName === \"suggest_followups\") {\n          const o = out(\"suggest_followups\");\n          return {\n            conversationId: input.conversationId,\n            type: \"followups_shown\",\n            data: { suggestions: o?.suggestions ?? inp.suggestions },\n          };\n        }\n        return null;\n      })\n      .filter(Boolean) as (typeof events.$inferInsert)[];\n\n    if (evts.length) await db.insert(events).values(evts);\n  } catch (e) {\n    console.error(\"[persist] non-fatal\", e); // ne jamais propager dans le stream\n  }\n}\n\n/** Supprime les conversations inactives au-delà de la rétention (cascade messages+events). */\nexport async function purgeOld(): Promise<void> {\n  if (!db) return;\n  try {\n    await db.delete(conversations).where(\n      sql`${conversations.lastMessageAt} < now() - (${RETENTION_DAYS} || ' days')::interval`,\n    );\n  } catch (e) {\n    console.error(\"[persist] purge failed\", e);\n  }\n}\n","numLines":137,"startLine":1,"totalLines":137}},"sourceToolAssistantUUID":"288703fb-57f1-4081-9740-de219793f5a0","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"fe593267-02ed-483b-adb2-61d0c134c9d8","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RMpjLc9d9iVK8FdfeRXYJ","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check the AI SDK version and verify how the streaming response works:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3171,"cache_read_input_tokens":38901,"cache_creation":{"ephemeral_5m_input_tokens":3171,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAe5LoZWACXQM9qDNsR","attributionAgent":"Explore","type":"assistant","uuid":"85bfbdd8-7e37-42ea-9044-79f558a323ba","timestamp":"2026-06-23T12:09:46.039Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"85bfbdd8-7e37-42ea-9044-79f558a323ba","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RMpjLc9d9iVK8FdfeRXYJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Vnv4FvrGMaztHpumKbwg8B","name":"Bash","input":{"command":"grep -r \"toUIMessageStreamResponse\" /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing --include=\"*.ts\" --include=\"*.tsx\" -n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3171,"cache_read_input_tokens":38901,"output_tokens":115,"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":3171},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":115,"cache_read_input_tokens":38901,"cache_creation_input_tokens":3171,"cache_creation":{"ephemeral_5m_input_tokens":3171,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAe5LoZWACXQM9qDNsR","attributionAgent":"Explore","type":"assistant","uuid":"da977d52-6ae6-4bcb-80ea-852cc34e07fe","timestamp":"2026-06-23T12:09:46.774Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"da977d52-6ae6-4bcb-80ea-852cc34e07fe","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Vnv4FvrGMaztHpumKbwg8B","type":"tool_result","content":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/ai/src/generate-text/stream-text-result.ts:357:  toUIMessageStreamResponse<UI_MESSAGE extends UIMessage>(\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/ai/dist/index.d.ts:2592:    toUIMessageStreamResponse<UI_MESSAGE extends UIMessage>(options?: UIMessageStreamResponseInit & UIMessageStreamOptions<UI_MESSAGE>): Response;\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/ai/src/generate-text/stream-text.ts:2787:  toUIMessageStreamResponse<UI_MESSAGE extends UIMessage>({\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat/route.ts:94:  return result.toUIMessageStreamResponse();","is_error":false}]},"uuid":"1749a815-05ab-489d-94a3-7d7ed5e154ae","timestamp":"2026-06-23T12:09:47.397Z","toolUseResult":{"stdout":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/ai/src/generate-text/stream-text-result.ts:357:  toUIMessageStreamResponse<UI_MESSAGE extends UIMessage>(\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/ai/dist/index.d.ts:2592:    toUIMessageStreamResponse<UI_MESSAGE extends UIMessage>(options?: UIMessageStreamResponseInit & UIMessageStreamOptions<UI_MESSAGE>): Response;\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/ai/src/generate-text/stream-text.ts:2787:  toUIMessageStreamResponse<UI_MESSAGE extends UIMessage>({\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat/route.ts:94:  return result.toUIMessageStreamResponse();","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"da977d52-6ae6-4bcb-80ea-852cc34e07fe","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"1749a815-05ab-489d-94a3-7d7ed5e154ae","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018kfn8LHhhn8GnCCJ75Ng22","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect. Let me check the knowledge.md size and gather final details on how the system prompt gets assembled:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":470,"cache_read_input_tokens":42072,"cache_creation":{"ephemeral_5m_input_tokens":470,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAeKfmkY2Ld5swHzGyX","attributionAgent":"Explore","type":"assistant","uuid":"35ce4668-4b67-4e1a-b9ad-f917319c86fb","timestamp":"2026-06-23T12:09:49.426Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"35ce4668-4b67-4e1a-b9ad-f917319c86fb","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018kfn8LHhhn8GnCCJ75Ng22","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0139Xmp6zT8YPzstApDiUG1p","name":"Bash","input":{"command":"wc -l /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md && du -h /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":470,"cache_read_input_tokens":42072,"output_tokens":136,"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":470},"inference_geo":"not_available","iterations":[{"input_tokens":4,"output_tokens":136,"cache_read_input_tokens":42072,"cache_creation_input_tokens":470,"cache_creation":{"ephemeral_5m_input_tokens":470,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAeKfmkY2Ld5swHzGyX","attributionAgent":"Explore","type":"assistant","uuid":"c9aeab82-60ca-45be-b772-f21383c1faa7","timestamp":"2026-06-23T12:09:49.616Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"c9aeab82-60ca-45be-b772-f21383c1faa7","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0139Xmp6zT8YPzstApDiUG1p","type":"tool_result","content":"148 /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md\n16K\t/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md","is_error":false}]},"uuid":"40ca6aa6-5ee8-4951-a428-0f67b2cef95c","timestamp":"2026-06-23T12:09:49.699Z","toolUseResult":{"stdout":"148 /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md\n16K\t/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"c9aeab82-60ca-45be-b772-f21383c1faa7","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"40ca6aa6-5ee8-4951-a428-0f67b2cef95c","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_017mCh35nD5XpVCXXedAzgTg","type":"message","role":"assistant","content":[{"type":"text","text":"Excellent. Now let me verify the CLAUDE.md in this project to confirm the dev server port again:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":208,"cache_read_input_tokens":42542,"cache_creation":{"ephemeral_5m_input_tokens":208,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAeVcJumA4DbhyK3ddV","attributionAgent":"Explore","type":"assistant","uuid":"a8d95cc5-e335-46bf-969b-1d09fec86d8c","timestamp":"2026-06-23T12:09:52.162Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"a8d95cc5-e335-46bf-969b-1d09fec86d8c","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_017mCh35nD5XpVCXXedAzgTg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ULnGZum5AzPZ8AYiTgkYm2","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/CLAUDE.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":208,"cache_read_input_tokens":42542,"cache_creation":{"ephemeral_5m_input_tokens":208,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAeVcJumA4DbhyK3ddV","attributionAgent":"Explore","type":"assistant","uuid":"40547694-84ad-40a6-b0d9-e3e46cb13385","timestamp":"2026-06-23T12:09:52.176Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"40547694-84ad-40a6-b0d9-e3e46cb13385","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"ab449d701d6694b8b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ULnGZum5AzPZ8AYiTgkYm2","type":"tool_result","content":"1\t# covalba-chatbot\n2\t\n3\t## Stack\n4\t\n5\t<!-- Décris la stack technique du projet ici : framework, langage, base de données, etc. -->\n6\t\n7\t## Conventions\n8\t\n9\t- Commits en anglais, conventionnel (feat:, fix:, chore:)\n10\t- Une PR par feature/fix\n11\t- Review obligatoire avant merge\n12\t\n13\t<!-- PAF-STUDIO-CODE-CONTEXT-START -->\n14\t## Environnement Paf-Studio Code\n15\t\n16\tTu tournes dans **Paf-Studio Code**, un environnement de développement partagé sur VPS (Hostinger, France).\n17\t4 développeurs partagent ce VPS : **Tom Assous**, **Pierre Bost**, **Nicolas Pommereuil**, **Clara Girard** (surnommée *Graziella* pour son bagout et l'ambiance qu'elle met).\n18\tChaque branche a son propre worktree isolé — pas de conflit entre développeurs.\n19\tLes credentials Claude Code sont partagés entre les membres de l'équipe.\n20\t\n21\t- **Développeur actuel** : Tom Assous (tom)\n22\t- **Projet** : covalba-chatbot\n23\t- **Branche** : `tom/intesive-testing`\n24\t- **Preview** : https://covalba-chatbot-tom-intesive-testing.paf-studio.dev\n25\t- **Port dev server** : 3097\n26\t\n27\t### Règles Git & PR\n28\t\n29\t- Tu travailles sur la branche `tom/intesive-testing`. Ne touche **jamais** à `main` directement.\n30\t- Commits en anglais, format conventionnel : `feat:`, `fix:`, `chore:`, `docs:`\n31\t- Quand le travail est prêt : `git push` puis crée une PR vers `main`.\n32\t- Ne force push pas (`--force`) sauf si explicitement demandé.\n33\t- Le **plugin GitHub Claude Code** est installé : les PR sont automatiquement reviewées par Claude.\n34\t- Toujours inclure une description claire dans la PR (résumé + test plan).\n35\t\n36\t### Preview\n37\t\n38\tL'URL de preview pour cette branche est : **https://covalba-chatbot-tom-intesive-testing.paf-studio.dev**\n39\t\n40\tLance le dev server sur le port **3097** et le host **0.0.0.0** pour que la preview fonctionne.\n41\tExemple : `next dev -p 3097 -H 0.0.0.0` ou `vite --port 3097 --host`\n42\t\n43\tLe launcher écrit aussi un bloc géré dans `.env.local` avec `PAF_STUDIO_PREVIEW_URL`, `PAF_STUDIO_PREVIEW_HOST`, `PAF_STUDIO_PREVIEW_PORT`, et, si absents, `HOST`/`PORT`/`VITE_HOST`/`VITE_PORT`.\n44\t\n45\tLe nettoyage mémoire peut arrêter un dev server inactif sans supprimer la preview. Si l'URL ne répond plus, relance depuis le worktree avec `preview restart`, ou lance manuellement le dev server sur le port indiqué dans `.env.local`.\n46\t\n47\t**IMPORTANT** : le hostname `covalba-chatbot-tom-intesive-testing.paf-studio.dev` doit être autorisé, mais ne hard-code jamais ce host ou ce port dans une config versionnée.\n48\tSi la config du framework doit changer, fais une modification générique qui lit les variables de `.env.local` et reste valable pour toutes les branches.\n49\t\n50\tExemples de patterns acceptables :\n51\t\n52\t| Framework | Config |\n53\t|---|---|\n54\t| **Vite / SvelteKit / Vue CLI / Webpack** | `server.host = process.env.VITE_HOST || process.env.HOST || \"0.0.0.0\"`, `server.port = Number(process.env.VITE_PORT || process.env.PORT || process.env.PAF_STUDIO_PREVIEW_PORT)`, `allowedHosts` depuis `PAF_STUDIO_PREVIEW_HOST` |\n55\t| **Next.js** | lancer `next dev -p ${PORT:-3097} -H 0.0.0.0`; si `allowedDevOrigins` est nécessaire, le construire depuis `process.env.PAF_STUDIO_PREVIEW_HOST` |\n56\t| **Nuxt / Astro** | `host` et `port` lus depuis `process.env.HOST` / `process.env.PORT` ou `PAF_STUDIO_PREVIEW_PORT` |\n57\t| **Remix / Gatsby / Angular / Django / Rails / Laravel / Hugo** | utiliser les flags CLI avec le port de `.env.local`; si un fichier config est modifié, il doit lire les env vars, pas la valeur de cette branche |\n58\t| **Express / Node** | `app.listen(Number(process.env.PORT || process.env.PAF_STUDIO_PREVIEW_PORT), \"0.0.0.0\")` |\n59\t\n60\tLe point commun : **host 0.0.0.0** (pas localhost/127.0.0.1) + **port depuis `.env.local`** + **hostname depuis `PAF_STUDIO_PREVIEW_HOST`**.\n61\t\n62\t### Images partagees\n63\t\n64\tQuand l'utilisateur colle un chemin qui commence par `~/images/` (ex: `~/images/tom/clipboard-20260414-143022.png`),\n65\tc'est une image qu'il vient de partager avec toi via son clipboard ou drag & drop.\n66\t**Analyse-la automatiquement** en utilisant Read — pas besoin de demander confirmation.\n67\tCes images sont des screenshots, mockups, photos de bugs, references visuelles.\n68\t\n69\t### Skills\n70\t\n71\tN'utilise aucun skill automatiquement. Tu peux charger un skill uniquement si l'utilisateur le demande explicitement par son nom ou formule clairement qu'il veut utiliser un skill.\n72\tQuand l'utilisateur demande un skill, charge-le directement via l'outil skill, puis applique ses consignes sans demander de permission supplémentaire.\n73\t\n74\t### Passation entre agents\n75\t\n76\tPour passer le relais a la prochaine personne (humaine ou IA) qui va bosser sur cette branche, tape `/handoff`.\n77\tClaude va creer ou completer `HANDOFF.md` a la racine du projet en mode append-in-place (pas d'archivage) et commit le fichier.\n78\t\n79\t**Trigger sans slash** : si l'utilisateur ecrit juste le mot `handoff` (seul, sans autre contexte), invoque la slash command `/handoff` — c'est le comportement attendu, pas besoin de demander confirmation.\n80\tQuand un nouvel agent prend le relais sur une branche, il doit d'abord lire `HANDOFF.md` s'il existe (apres `git pull`).\n81\t\n82\t### Permissions & sécurité\n83\t\n84\tTu tournes avec `--dangerously-skip-permissions`. Le VPS est isolé et jetable.\n85\tGit est la source de vérité. Tu peux exécuter des commandes librement.\n86\tNe demande pas de permission pour les commandes ou modifications nécessaires : exécute directement, sauf action explicitement dangereuse côté Git comme un force push.\n87\tNe stocke aucun secret en dur dans le code. Utilise des variables d'environnement.\n88\t\n89\t### 📬 AgentMail — email des agents\n90\t\n91\t- Adresse email **unique et partagée** du VPS : **paf-studio-code@agentmail.to** (`inbox_id` identique).\n92\t- CLI `agentmail` installé globalement ; clé `AGENTMAIL_API_KEY` chargée via `/etc/profile.d/agentmail.sh` (ne jamais la hardcoder).\n93\t- Lire/envoyer : skill `agentmail` ou le CLI, ex. `agentmail inboxes:messages send --inbox-id paf-studio-code@agentmail.to --to … --subject … --text …`.\n94\t- Utilise TOUJOURS cette adresse unique ; ne crée pas d'autre inbox sauf demande explicite (plan free : 3 inboxes max, pas de domaine custom).\n95\t<!-- PAF-STUDIO-CODE-CONTEXT-END -->\n96\t"}]},"uuid":"701679a9-daf4-4808-851e-aab538fb322e","timestamp":"2026-06-23T12:09:52.193Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/CLAUDE.md","content":"# covalba-chatbot\n\n## Stack\n\n<!-- Décris la stack technique du projet ici : framework, langage, base de données, etc. -->\n\n## Conventions\n\n- Commits en anglais, conventionnel (feat:, fix:, chore:)\n- Une PR par feature/fix\n- Review obligatoire avant merge\n\n<!-- PAF-STUDIO-CODE-CONTEXT-START -->\n## Environnement Paf-Studio Code\n\nTu tournes dans **Paf-Studio Code**, un environnement de développement partagé sur VPS (Hostinger, France).\n4 développeurs partagent ce VPS : **Tom Assous**, **Pierre Bost**, **Nicolas Pommereuil**, **Clara Girard** (surnommée *Graziella* pour son bagout et l'ambiance qu'elle met).\nChaque branche a son propre worktree isolé — pas de conflit entre développeurs.\nLes credentials Claude Code sont partagés entre les membres de l'équipe.\n\n- **Développeur actuel** : Tom Assous (tom)\n- **Projet** : covalba-chatbot\n- **Branche** : `tom/intesive-testing`\n- **Preview** : https://covalba-chatbot-tom-intesive-testing.paf-studio.dev\n- **Port dev server** : 3097\n\n### Règles Git & PR\n\n- Tu travailles sur la branche `tom/intesive-testing`. Ne touche **jamais** à `main` directement.\n- Commits en anglais, format conventionnel : `feat:`, `fix:`, `chore:`, `docs:`\n- Quand le travail est prêt : `git push` puis crée une PR vers `main`.\n- Ne force push pas (`--force`) sauf si explicitement demandé.\n- Le **plugin GitHub Claude Code** est installé : les PR sont automatiquement reviewées par Claude.\n- Toujours inclure une description claire dans la PR (résumé + test plan).\n\n### Preview\n\nL'URL de preview pour cette branche est : **https://covalba-chatbot-tom-intesive-testing.paf-studio.dev**\n\nLance le dev server sur le port **3097** et le host **0.0.0.0** pour que la preview fonctionne.\nExemple : `next dev -p 3097 -H 0.0.0.0` ou `vite --port 3097 --host`\n\nLe launcher écrit aussi un bloc géré dans `.env.local` avec `PAF_STUDIO_PREVIEW_URL`, `PAF_STUDIO_PREVIEW_HOST`, `PAF_STUDIO_PREVIEW_PORT`, et, si absents, `HOST`/`PORT`/`VITE_HOST`/`VITE_PORT`.\n\nLe nettoyage mémoire peut arrêter un dev server inactif sans supprimer la preview. Si l'URL ne répond plus, relance depuis le worktree avec `preview restart`, ou lance manuellement le dev server sur le port indiqué dans `.env.local`.\n\n**IMPORTANT** : le hostname `covalba-chatbot-tom-intesive-testing.paf-studio.dev` doit être autorisé, mais ne hard-code jamais ce host ou ce port dans une config versionnée.\nSi la config du framework doit changer, fais une modification générique qui lit les variables de `.env.local` et reste valable pour toutes les branches.\n\nExemples de patterns acceptables :\n\n| Framework | Config |\n|---|---|\n| **Vite / SvelteKit / Vue CLI / Webpack** | `server.host = process.env.VITE_HOST || process.env.HOST || \"0.0.0.0\"`, `server.port = Number(process.env.VITE_PORT || process.env.PORT || process.env.PAF_STUDIO_PREVIEW_PORT)`, `allowedHosts` depuis `PAF_STUDIO_PREVIEW_HOST` |\n| **Next.js** | lancer `next dev -p ${PORT:-3097} -H 0.0.0.0`; si `allowedDevOrigins` est nécessaire, le construire depuis `process.env.PAF_STUDIO_PREVIEW_HOST` |\n| **Nuxt / Astro** | `host` et `port` lus depuis `process.env.HOST` / `process.env.PORT` ou `PAF_STUDIO_PREVIEW_PORT` |\n| **Remix / Gatsby / Angular / Django / Rails / Laravel / Hugo** | utiliser les flags CLI avec le port de `.env.local`; si un fichier config est modifié, il doit lire les env vars, pas la valeur de cette branche |\n| **Express / Node** | `app.listen(Number(process.env.PORT || process.env.PAF_STUDIO_PREVIEW_PORT), \"0.0.0.0\")` |\n\nLe point commun : **host 0.0.0.0** (pas localhost/127.0.0.1) + **port depuis `.env.local`** + **hostname depuis `PAF_STUDIO_PREVIEW_HOST`**.\n\n### Images partagees\n\nQuand l'utilisateur colle un chemin qui commence par `~/images/` (ex: `~/images/tom/clipboard-20260414-143022.png`),\nc'est une image qu'il vient de partager avec toi via son clipboard ou drag & drop.\n**Analyse-la automatiquement** en utilisant Read — pas besoin de demander confirmation.\nCes images sont des screenshots, mockups, photos de bugs, references visuelles.\n\n### Skills\n\nN'utilise aucun skill automatiquement. Tu peux charger un skill uniquement si l'utilisateur le demande explicitement par son nom ou formule clairement qu'il veut utiliser un skill.\nQuand l'utilisateur demande un skill, charge-le directement via l'outil skill, puis applique ses consignes sans demander de permission supplémentaire.\n\n### Passation entre agents\n\nPour passer le relais a la prochaine personne (humaine ou IA) qui va bosser sur cette branche, tape `/handoff`.\nClaude va creer ou completer `HANDOFF.md` a la racine du projet en mode append-in-place (pas d'archivage) et commit le fichier.\n\n**Trigger sans slash** : si l'utilisateur ecrit juste le mot `handoff` (seul, sans autre contexte), invoque la slash command `/handoff` — c'est le comportement attendu, pas besoin de demander confirmation.\nQuand un nouvel agent prend le relais sur une branche, il doit d'abord lire `HANDOFF.md` s'il existe (apres `git pull`).\n\n### Permissions & sécurité\n\nTu tournes avec `--dangerously-skip-permissions`. Le VPS est isolé et jetable.\nGit est la source de vérité. Tu peux exécuter des commandes librement.\nNe demande pas de permission pour les commandes ou modifications nécessaires : exécute directement, sauf action explicitement dangereuse côté Git comme un force push.\nNe stocke aucun secret en dur dans le code. Utilise des variables d'environnement.\n\n### 📬 AgentMail — email des agents\n\n- Adresse email **unique et partagée** du VPS : **paf-studio-code@agentmail.to** (`inbox_id` identique).\n- CLI `agentmail` installé globalement ; clé `AGENTMAIL_API_KEY` chargée via `/etc/profile.d/agentmail.sh` (ne jamais la hardcoder).\n- Lire/envoyer : skill `agentmail` ou le CLI, ex. `agentmail inboxes:messages send --inbox-id paf-studio-code@agentmail.to --to … --subject … --text …`.\n- Utilise TOUJOURS cette adresse unique ; ne crée pas d'autre inbox sauf demande explicite (plan free : 3 inboxes max, pas de domaine custom).\n<!-- PAF-STUDIO-CODE-CONTEXT-END -->\n","numLines":96,"startLine":1,"totalLines":96}},"sourceToolAssistantUUID":"40547694-84ad-40a6-b0d9-e3e46cb13385","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}
{"parentUuid":"701679a9-daf4-4808-851e-aab538fb322e","isSidechain":true,"agentId":"ab449d701d6694b8b","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014YcxXgCizXYaPRZadHXfCQ","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect! Now I have all the information needed. Let me create a comprehensive report.\n\n---\n\n## Detailed Exploration Report: Covalba Chatbot Chat API\n\n### 1. **Chat API Endpoint**\n\n**File:** `/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat/route.ts`\n\n**HTTP Method:** `POST`\n\n**Request Body Shape:**\n```typescript\n{\n  messages: UIMessage[];        // Array of conversation messages (Vercel AI SDK format)\n  conversationId?: string;      // Optional ID for persistence/tracking\n}\n```\n\n**Response Shape:** **Streaming Response** (Server-Sent Events via Vercel AI SDK)\n- Uses `result.toUIMessageStreamResponse()` which returns a standard `Response` object\n- The response is a text stream of deltas (server-sent events), formatted as Vercel AI SDK's `UIMessageStreamResponse`\n- Not raw text — it's a structured message stream with tool call/result interleaving\n- Maximum response size: **400 tokens** (hardcoded at line 69: `maxOutputTokens: 400`)\n\n**Auth/Rate Limits:**\n- **Rate limiting:** 20 requests per minute per IP (extracting IP from `x-forwarded-for` header, falling back to \"anon\")\n- Rate limiter uses either:\n  - **Upstash Redis** (if `UPSTASH_REDIS_REST_URL` and `UPSTASH_REDIS_REST_TOKEN` env vars present) — sliding window\n  - **In-memory token bucket** (default for POC, per-instance)\n- Returns **HTTP 429** with French message if rate limit exceeded\n- **No authentication headers required** — completely open API\n\n**Conversation context:**\n- Only the last 24 messages are sent to the model (line 35: `messages.slice(-24)`)\n- This caps context window for cost and latency\n\n---\n\n### 2. **Model Configuration**\n\n**File:** `/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/model.ts`\n\n**Model Resolution Priority:**\n\n1. **Direct Anthropic API** (`ANTHROPIC_API_KEY` env var present)\n   - Format: `claude-sonnet-4-6` (tirets)\n   - Fallback for local dev or when gateway unavailable\n   - Uses `@ai-sdk/anthropic` provider directly\n\n2. **Vercel AI Gateway** (no direct key, but `AI_GATEWAY_API_KEY` or `VERCEL_OIDC_TOKEN` present)\n   - Format: `anthropic/claude-sonnet-4.6` (dots)\n   - Production on Vercel uses OIDC token automatically\n   - Enables caching at gateway level\n\n**Default Model:** `claude-sonnet-4.6` (via AI Gateway) or `claude-sonnet-4-6` (direct)\n\n**How to Change Model:**\n\n```bash\n# Via AI Gateway (production):\nCHAT_MODEL=anthropic/claude-sonnet-4.6\n\n# Via direct Anthropic:\nCHAT_MODEL_DIRECT=claude-sonnet-4-6\n\n# Example: switch to Haiku\nCHAT_MODEL=anthropic/claude-haiku-4.5        # gateway\nCHAT_MODEL_DIRECT=claude-haiku-4-5           # direct\n```\n\n**Important:** The surface grammar differs:\n- Gateway model IDs use **dots**: `anthropic/model-name.version`\n- Direct provider uses **dashes**: `claude-model-name-version`\n\n**Code excerpt** (lines 25–41 in lib/model.ts):\n```typescript\nconst GATEWAY_MODEL = process.env.CHAT_MODEL ?? \"anthropic/claude-sonnet-4.6\";\nconst DIRECT_MODEL = process.env.CHAT_MODEL_DIRECT ?? \"claude-sonnet-4-6\";\n\nexport function getModel(): LanguageModel {\n  if (hasDirectKey) {\n    const anthropic = createAnthropic({\n      apiKey: process.env.ANTHROPIC_API_KEY,\n    });\n    return anthropic(DIRECT_MODEL);\n  }\n  return GATEWAY_MODEL;\n}\n\nexport function getModelId(): string {\n  return hasDirectKey ? DIRECT_MODEL : GATEWAY_MODEL;\n}\n```\n\n**Gateway Caching:** When using the gateway (lines 84–86):\n```typescript\n...(usingGateway\n  ? { providerOptions: { gateway: { caching: \"auto\" } } }\n  : {}),\n```\n\n---\n\n### 3. **System Prompt and Tools**\n\n**File:** `/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/system-prompt.ts` (lines 1–58)\n\n**System Prompt Assembly:**\n```typescript\nexport const SYSTEM_PROMPT = `${RULES}\\n\\n# Base de connaissances\\n${KNOWLEDGE}`;\n```\n\nThe system prompt is a **fixed concatenation** of:\n1. **RULES** (lines 8–53): French-language guidelines for the Covalba assistant\n2. **KNOWLEDGE** (injected from `knowledge.md`, see below)\n\n**Key Rules (Excerpt):**\n- Response style: 1–3 sentences maximum, concise, no markdown headers\n- Language: French, formal vouvoiement\n- Must reference knowledge base only — no invented prices/guarantees\n- Redirect users to pages/forms via `suggest_page` tool, not email/phone\n- Call `log_unanswered` for questions outside the knowledge base\n\n**Three Tools Available:**\n\n| Tool | File | Purpose |\n|------|------|---------|\n| `suggest_page` | `/lib/tools/suggest-page.ts` | Redirect user to one specific page (estimation, contact, product pages, etc.). Input: `{intent: RouteKey, reason: string}` |\n| `log_unanswered` | `/lib/tools/log-unanswered.ts` | Log questions not answered in knowledge base. Input: `{question: string}`. Logs to console for analysis. |\n| `suggest_followups` | `/lib/tools/suggest-followups.ts` | Suggest 2–3 follow-up questions for UI buttons. Input: `{suggestions: string[]}` (2–3 items, ≤80 chars each). |\n\n**Tool Definitions (Code):**\n\n```typescript\n// suggest_page - redirects to predefined routes\nexport const suggestPage = tool({\n  description: \"...\",\n  inputSchema: z.object({\n    intent: z.enum(ROUTE_KEYS),\n    reason: z.string(),\n  }),\n  execute: async ({ intent, reason }) => {\n    const { label, url } = resolveRoute(intent);\n    return { label, url, reason };\n  },\n});\n\n// log_unanswered - logs unanswered questions\nexport const logUnanswered = tool({\n  description: \"...\",\n  inputSchema: z.object({\n    question: z.string(),\n  }),\n  execute: async ({ question }) => {\n    console.log(\"[covalba-unanswered]\", JSON.stringify({ question, at: new Date().toISOString() }));\n    return { logged: true };\n  },\n});\n\n// suggest_followups - suggests follow-up questions\nexport const suggestFollowups = tool({\n  description: \"...\",\n  inputSchema: z.object({\n    suggestions: z.array(z.string().max(80)).min(2).max(3),\n  }),\n  execute: async ({ suggestions }) => ({ suggestions }),\n});\n```\n\n**Tool Routing:** All available routes are defined in `/lib/tools/routes.ts` (lines 8–60):\n- **Main pages:** home, simulateur, estimation, diagnostic, contact, applicateur, qui_sommes_nous, prime_cee\n- **Product pages:** covatherm, covatherm_light, covaseal_20, covametal_20, guide, faq, references, blog\n- **Roof type pages:** membrane_bitumineuse, bac_acier, toiture_plate, fibrociment, tuiles_ciment\n- **Industry sector pages:** industrie, tertiaire, distribution, logistique, collectivites, agricole, erp\n\n---\n\n### 4. **Knowledge Base**\n\n**File:** `/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md`\n\n**Size:** 148 lines, 16 KB\n\n**How Injected:** Read once at server startup (line 6 in lib/system-prompt.ts):\n```typescript\nconst KNOWLEDGE = readFileSync(join(process.cwd(), \"knowledge.md\"), \"utf8\");\n```\n\nThe file is loaded **synchronously at module initialization** and cached in the `KNOWLEDGE` constant. Every request reuses this cached value — it's never re-read.\n\n**Prompt Caching:** In the route (lines 78–79):\n```typescript\n{\n  role: \"system\",\n  content: SYSTEM_PROMPT,\n  providerOptions: { anthropic: { cacheControl: { type: \"ephemeral\" } } },\n},\n```\n\nThis uses **Anthropic's prompt caching** (ephemeral cache) on the system message containing the full knowledge base, since it's a large static prefix shared by all requests.\n\n**Content Outline (lines 1–148 of knowledge.md):**\n1. Company info (Covalba, history, team, references)\n2. What is Cool Roof (technology, SRI index, temperature reduction)\n3. Products (CovaTherm, CovaTherm Light, CovaSeal 20, CovaMetal 20)\n4. Pricing & ROI (€18–25/m², ~14-month payback)\n5. Roof types (bituminous, steel, flat, fibrocement, cement tiles)\n6. Sectors (industry, tertiary, distribution, logistics, public facilities, agriculture, ERP)\n7. CEE Prime / BAT-EN-112 (eligibility, zones, rules)\n8. Application & site (safety, preparation, 2–5 day timeline)\n9. FAQ snippets\n\n---\n\n### 5. **Running the Dev Server**\n\n**Port:** **3097** (configured in Paf-Studio Code environment)\n\n**How to Launch:**\n\nFrom `/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/`:\n\n```bash\nnpm run dev\n# or manually:\nnext dev -p 3097 -H 0.0.0.0\n```\n\n**package.json** script (line 7):\n```json\n\"dev\": \"next dev -p ${PORT:-3079} -H ${HOST:-0.0.0.0}\",\n```\n\nNote: package.json defaults to port 3079, but `.env.local` overrides it with `PORT=3097`.\n\n**Environment Variables Set by Paf-Studio Code** (`.env.local`, lines 1–11):\n```bash\nPAF_STUDIO_PREVIEW_URL=https://covalba-chatbot-tom-intesive-testing.paf-studio.dev\nPAF_STUDIO_PREVIEW_HOST=covalba-chatbot-tom-intesive-testing.paf-studio.dev\nPAF_STUDIO_PREVIEW_PORT=3097\nHOST=0.0.0.0\nPORT=3097\n```\n\n**Preview URL:** https://covalba-chatbot-tom-intesive-testing.paf-studio.dev\n\n---\n\n### 6. **Example Request/Response Flow**\n\n**Example POST Request:**\n```json\nPOST /api/chat HTTP/1.1\nContent-Type: application/json\n\n{\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"C'est combien le cool roof ?\"\n    }\n  ],\n  \"conversationId\": \"conv-123\"\n}\n```\n\n**Example Response Stream:**\n```\ndata: {\"type\": \"text-delta\", \"text\": \"Le cool roof coûte entre 18 et 25 €/m²...\"}\ndata: {\"type\": \"tool-call\", \"toolName\": \"suggest_page\", \"toolCallId\": \"call-1\", \"args\": {\"intent\": \"estimation\", \"reason\": \"...\"}}\ndata: {\"type\": \"tool-result\", \"toolCallId\": \"call-1\", \"result\": {\"label\": \"Estimation de prix\", \"url\": \"https://www.covalba.fr/estimation\", \"reason\": \"...\"}}\ndata: {\"type\": \"finish\", \"finishReason\": \"tool-calls\"}\n```\n\nThe model writes its text response, then calls tools in the same turn (via `stepCountIs(1)` constraint on line 73). Tool results come back inline, and the stream finishes after one step.\n\n---\n\n### 7. **Key Files Summary**\n\n| File | Purpose | Key Line(s) |\n|------|---------|------------|\n| `app/api/chat/route.ts` | Chat endpoint | POST handler, streamText, tool definitions (lines 17–95) |\n| `lib/model.ts` | Model wiring | Gateway vs. direct; model ID resolution (lines 1–41) |\n| `lib/system-prompt.ts` | System prompt | RULES + KNOWLEDGE assembly (lines 1–58) |\n| `lib/tools/suggest-page.ts` | Page redirect tool | Tool definition, route resolution (lines 1–30) |\n| `lib/tools/log-unanswered.ts` | Unanswered logging | Tool definition, console logging (lines 1–26) |\n| `lib/tools/suggest-followups.ts` | Follow-up suggestions | Tool definition (lines 1–24) |\n| `lib/tools/routes.ts` | Route mapping | All available pages/intents (lines 1–69) |\n| `lib/rate-limit.ts` | Rate limiting | Upstash vs. in-memory (lines 1–51) |\n| `lib/persist.ts` | Conversation storage | Database write, PII masking, retention (lines 1–137) |\n| `knowledge.md` | Knowledge base | 148 lines of Covalba facts (not quoted here; 16 KB) |\n| `.env.example` | Environment template | All configurable vars (lines 1–49) |\n| `.env.local` | Active env (Paf-Studio) | Preview host/port, dev settings (lines 1–11) |\n| `package.json` | Dependencies | AI SDK version 6.0.159, Next.js 16.2.6 (lines 1–36) |\n\n---\n\n### **Summary for Testing Workflow**\n\nTo call the chat API programmatically:\n\n1. **POST to** `POST /api/chat` with `{ messages: UIMessage[], conversationId?: string }`\n2. **Read streaming response** as Server-Sent Events (each `data:` line is a JSON-encoded event)\n3. **Model used:** Claude Sonnet 4.6 by default; change via `CHAT_MODEL` env (gateway) or `CHAT_MODEL_DIRECT` (direct)\n4. **Conversation limit:** Last 24 messages sent; responses capped at 400 tokens\n5. **System prompt:** ~16 KB knowledge base cached; static RULES + KNOWLEDGE + tool definitions\n6. **Three tools:** suggest_page, log_unanswered, suggest_followups (all fire-and-forget from UI perspective)\n7. **Dev server:** `npm run dev` on port 3097"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":2334,"cache_read_input_tokens":42750,"output_tokens":3763,"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":2334},"inference_geo":"not_available","iterations":[{"input_tokens":4,"output_tokens":3763,"cache_read_input_tokens":42750,"cache_creation_input_tokens":2334,"cache_creation":{"ephemeral_5m_input_tokens":2334,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAegdb71DAB1NkwUN1j","attributionAgent":"Explore","type":"assistant","uuid":"a365a2b7-9fef-4d75-a5de-47e0564e2274","timestamp":"2026-06-23T12:10:28.473Z","userType":"external","entrypoint":"cli","cwd":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing","sessionId":"aa9d9d22-aa03-4e50-9220-f0c23b39452b","version":"2.1.186","gitBranch":"tom/intesive-testing","slug":"lis-handoff-pour-comprendre-swift-puddle"}