{"parentUuid":null,"isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":"I'm building a test suite of 100-200 use cases to evaluate the covalba-chatbot (a B2B \"Cool Roof\" / cooling-roof-coating assistant for covalba.fr). To write realistic and comprehensive test cases AND a good judge rubric, I need to deeply understand the bot's intended behavior, knowledge, and product rules.\n\nExplore the repo at /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing and report back in detail:\n\n1. Read `knowledge.md` (find it — likely at repo root or in a data/ dir). Summarize the full scope of what the bot is supposed to know: products (e.g. CovaTherm), specs (reflectance, durability), prices/pricing rules, CEE/prime subsidy info, the company facts (founded dates, expertise years), the customer sectors/references (Danone, LSDH, Panibois...), geographic zone, contact coordinates. List the canonical values it should give.\n\n2. The system prompt: find and read it (likely in a prompt file, or inlined in the chat route, or a `prompts/` dir or `lib/`). Report the behavioral rules in full: tone, when to redirect to estimation vs contact forms, the \"hors-cible\" (out-of-target = residential/individual) decline rule, when to give coordinates (only on explicit request), never naming competitors, no in-chat lead capture, escalation on knowledge gaps, short answers / no prices unless asked.\n\n3. The 28 real site routes used by suggest_page tool — where are they listed? Report the list or file path.\n\n4. Any existing tests or eval scripts in the repo (look for `test/`, `tests/`, `*.test.ts`, `eval`, scripts in package.json). Report what exists already so I don't duplicate.\n\n5. The presentation/scenarios doc: `docs/presentation-assistant-covalba.md` — summarize the scenarios it describes, since those are canonical expected behaviors.\n\nBe thorough — quote the system prompt rules verbatim where possible, and give exact file paths. This is the source of truth for writing test cases and the judging rubric."},"uuid":"2f15031c-3c56-4cad-aaca-9b0059a905ac","timestamp":"2026-06-23T12:09:36.778Z","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":"2f15031c-3c56-4cad-aaca-9b0059a905ac","isSidechain":true,"agentId":"af9f12518094995ed","attachment":{"type":"deferred_tools_delta","addedNames":["CronCreate","CronDelete","CronList","DesignSync","EnterWorktree","ExitWorktree","ListMcpResourcesTool","Monitor","PushNotification","ReadMcpResourceDirTool","ReadMcpResourceTool","RemoteTrigger","SendMessage","TaskCreate","TaskGet","TaskList","TaskStop","TaskUpdate","WebFetch","WebSearch","mcp__EstimanouContent__add_article_block","mcp__EstimanouContent__add_block","mcp__EstimanouContent__create_article","mcp__EstimanouContent__create_page","mcp__EstimanouContent__delete_article","mcp__EstimanouContent__delete_article_block","mcp__EstimanouContent__delete_block","mcp__EstimanouContent__get_article","mcp__EstimanouContent__get_city_page","mcp__EstimanouContent__get_page","mcp__EstimanouContent__list_articles","mcp__EstimanouContent__list_available_blocks","mcp__EstimanouContent__list_city_pages","mcp__EstimanouContent__list_pages","mcp__EstimanouContent__list_site_urls","mcp__EstimanouContent__reorder_article_blocks","mcp__EstimanouContent__reorder_blocks","mcp__EstimanouContent__replace_article_content","mcp__EstimanouContent__replace_city_seo_content","mcp__EstimanouContent__replace_page_layout","mcp__EstimanouContent__search_internal_links","mcp__EstimanouContent__update_article","mcp__EstimanouContent__update_article_block","mcp__EstimanouContent__update_block","mcp__EstimanouContent__update_city_page_content","mcp__claude_ai_Ahref__batch-analysis","mcp__claude_ai_Ahref__brand-radar-ai-responses","mcp__claude_ai_Ahref__brand-radar-ai-responses-entities","mcp__claude_ai_Ahref__brand-radar-cited-domains","mcp__claude_ai_Ahref__brand-radar-cited-domains-entities","mcp__claude_ai_Ahref__brand-radar-cited-pages","mcp__claude_ai_Ahref__brand-radar-cited-pages-entities","mcp__claude_ai_Ahref__brand-radar-impressions-history","mcp__claude_ai_Ahref__brand-radar-impressions-overview","mcp__claude_ai_Ahref__brand-radar-impressions-overview-entities","mcp__claude_ai_Ahref__brand-radar-mentions-history","mcp__claude_ai_Ahref__brand-radar-mentions-history-entities","mcp__claude_ai_Ahref__brand-radar-mentions-overview","mcp__claude_ai_Ahref__brand-radar-mentions-overview-entities","mcp__claude_ai_Ahref__brand-radar-sov-history","mcp__claude_ai_Ahref__brand-radar-sov-history-entities","mcp__claude_ai_Ahref__brand-radar-sov-overview","mcp__claude_ai_Ahref__brand-radar-sov-overview-entities","mcp__claude_ai_Ahref__doc","mcp__claude_ai_Ahref__gsc-anonymous-queries","mcp__claude_ai_Ahref__gsc-ctr-by-position","mcp__claude_ai_Ahref__gsc-keyword-history","mcp__claude_ai_Ahref__gsc-keywords","mcp__claude_ai_Ahref__gsc-metrics-by-country","mcp__claude_ai_Ahref__gsc-page-history","mcp__claude_ai_Ahref__gsc-pages","mcp__claude_ai_Ahref__gsc-pages-history","mcp__claude_ai_Ahref__gsc-performance-by-device","mcp__claude_ai_Ahref__gsc-performance-by-position","mcp__claude_ai_Ahref__gsc-performance-history","mcp__claude_ai_Ahref__gsc-positions-history","mcp__claude_ai_Ahref__keywords-explorer-matching-terms","mcp__claude_ai_Ahref__keywords-explorer-overview","mcp__claude_ai_Ahref__keywords-explorer-related-terms","mcp__claude_ai_Ahref__keywords-explorer-search-suggestions","mcp__claude_ai_Ahref__keywords-explorer-volume-by-country","mcp__claude_ai_Ahref__keywords-explorer-volume-history","mcp__claude_ai_Ahref__management-brand-radar-prompts","mcp__claude_ai_Ahref__management-brand-radar-reports","mcp__claude_ai_Ahref__management-keyword-list-keywords","mcp__claude_ai_Ahref__management-locations","mcp__claude_ai_Ahref__management-project-competitors","mcp__claude_ai_Ahref__management-project-keywords","mcp__claude_ai_Ahref__management-projects","mcp__claude_ai_Ahref__public-crawler-ip-ranges","mcp__claude_ai_Ahref__public-crawler-ips","mcp__claude_ai_Ahref__public-domain-rating-free","mcp__claude_ai_Ahref__rank-tracker-competitors-domains","mcp__claude_ai_Ahref__rank-tracker-competitors-overview","mcp__claude_ai_Ahref__rank-tracker-competitors-pages","mcp__claude_ai_Ahref__rank-tracker-competitors-stats","mcp__claude_ai_Ahref__rank-tracker-overview","mcp__claude_ai_Ahref__rank-tracker-serp-overview","mcp__claude_ai_Ahref__render-data-table","mcp__claude_ai_Ahref__render-scorecard","mcp__claude_ai_Ahref__render-time-series-chart","mcp__claude_ai_Ahref__serp-overview","mcp__claude_ai_Ahref__site-audit-issues","mcp__claude_ai_Ahref__site-audit-page-content","mcp__claude_ai_Ahref__site-audit-page-explorer","mcp__claude_ai_Ahref__site-audit-projects","mcp__claude_ai_Ahref__site-explorer-ai-responses-count","mcp__claude_ai_Ahref__site-explorer-all-backlinks","mcp__claude_ai_Ahref__site-explorer-anchors","mcp__claude_ai_Ahref__site-explorer-backlinks-stats","mcp__claude_ai_Ahref__site-explorer-broken-backlinks","mcp__claude_ai_Ahref__site-explorer-crawled-pages","mcp__claude_ai_Ahref__site-explorer-domain-rating","mcp__claude_ai_Ahref__site-explorer-domain-rating-history","mcp__claude_ai_Ahref__site-explorer-keywords-history","mcp__claude_ai_Ahref__site-explorer-linked-anchors-external","mcp__claude_ai_Ahref__site-explorer-linked-anchors-internal","mcp__claude_ai_Ahref__site-explorer-linked-domains","mcp__claude_ai_Ahref__site-explorer-metrics","mcp__claude_ai_Ahref__site-explorer-metrics-by-country","mcp__claude_ai_Ahref__site-explorer-metrics-history","mcp__claude_ai_Ahref__site-explorer-organic-competitors","mcp__claude_ai_Ahref__site-explorer-organic-keywords","mcp__claude_ai_Ahref__site-explorer-outlinks-stats","mcp__claude_ai_Ahref__site-explorer-pages-by-backlinks","mcp__claude_ai_Ahref__site-explorer-pages-by-internal-links","mcp__claude_ai_Ahref__site-explorer-pages-by-traffic","mcp__claude_ai_Ahref__site-explorer-pages-history","mcp__claude_ai_Ahref__site-explorer-paid-pages","mcp__claude_ai_Ahref__site-explorer-refdomains-history","mcp__claude_ai_Ahref__site-explorer-referring-domains","mcp__claude_ai_Ahref__site-explorer-top-pages","mcp__claude_ai_Ahref__site-explorer-total-search-volume-history","mcp__claude_ai_Ahref__site-explorer-url-rating-history","mcp__claude_ai_Ahref__social-media-activity-history","mcp__claude_ai_Ahref__social-media-authors","mcp__claude_ai_Ahref__social-media-channel-metrics","mcp__claude_ai_Ahref__social-media-channels","mcp__claude_ai_Ahref__social-media-post-metrics","mcp__claude_ai_Ahref__social-media-posts","mcp__claude_ai_Ahref__subscription-info-limits-and-usage","mcp__claude_ai_Ahref__web-analytics-browser-versions","mcp__claude_ai_Ahref__web-analytics-browser-versions-chart","mcp__claude_ai_Ahref__web-analytics-browsers","mcp__claude_ai_Ahref__web-analytics-browsers-chart","mcp__claude_ai_Ahref__web-analytics-chart","mcp__claude_ai_Ahref__web-analytics-cities","mcp__claude_ai_Ahref__web-analytics-cities-chart","mcp__claude_ai_Ahref__web-analytics-continents","mcp__claude_ai_Ahref__web-analytics-continents-chart","mcp__claude_ai_Ahref__web-analytics-countries","mcp__claude_ai_Ahref__web-analytics-countries-chart","mcp__claude_ai_Ahref__web-analytics-devices","mcp__claude_ai_Ahref__web-analytics-devices-chart","mcp__claude_ai_Ahref__web-analytics-entry-pages","mcp__claude_ai_Ahref__web-analytics-entry-pages-chart","mcp__claude_ai_Ahref__web-analytics-exit-pages","mcp__claude_ai_Ahref__web-analytics-exit-pages-chart","mcp__claude_ai_Ahref__web-analytics-languages","mcp__claude_ai_Ahref__web-analytics-languages-chart","mcp__claude_ai_Ahref__web-analytics-operating-systems","mcp__claude_ai_Ahref__web-analytics-operating-systems-chart","mcp__claude_ai_Ahref__web-analytics-operating-systems-versions","mcp__claude_ai_Ahref__web-analytics-operating-systems-versions-chart","mcp__claude_ai_Ahref__web-analytics-referrers","mcp__claude_ai_Ahref__web-analytics-referrers-chart","mcp__claude_ai_Ahref__web-analytics-source-channels","mcp__claude_ai_Ahref__web-analytics-source-channels-chart","mcp__claude_ai_Ahref__web-analytics-sources","mcp__claude_ai_Ahref__web-analytics-sources-chart","mcp__claude_ai_Ahref__web-analytics-stats","mcp__claude_ai_Ahref__web-analytics-top-pages","mcp__claude_ai_Ahref__web-analytics-top-pages-chart","mcp__claude_ai_Ahref__web-analytics-utm-params","mcp__claude_ai_Ahref__web-analytics-utm-params-chart","mcp__claude_ai_Canva__cancel-editing-transaction","mcp__claude_ai_Canva__comment-on-design","mcp__claude_ai_Canva__commit-editing-transaction","mcp__claude_ai_Canva__copy-design","mcp__claude_ai_Canva__create-brand-template-draft","mcp__claude_ai_Canva__create-design-from-brand-template","mcp__claude_ai_Canva__create-design-from-candidate","mcp__claude_ai_Canva__create-folder","mcp__claude_ai_Canva__export-design","mcp__claude_ai_Canva__generate-design","mcp__claude_ai_Canva__generate-design-structured","mcp__claude_ai_Canva__get-assets","mcp__claude_ai_Canva__get-brand-template-dataset","mcp__claude_ai_Canva__get-design","mcp__claude_ai_Canva__get-design-candidates","mcp__claude_ai_Canva__get-design-content","mcp__claude_ai_Canva__get-design-pages","mcp__claude_ai_Canva__get-design-thumbnail","mcp__claude_ai_Canva__get-export-formats","mcp__claude_ai_Canva__get-presenter-notes","mcp__claude_ai_Canva__help","mcp__claude_ai_Canva__import-design-from-url","mcp__claude_ai_Canva__list-brand-kits","mcp__claude_ai_Canva__list-comments","mcp__claude_ai_Canva__list-folder-items","mcp__claude_ai_Canva__list-replies","mcp__claude_ai_Canva__merge-designs","mcp__claude_ai_Canva__move-item-to-folder","mcp__claude_ai_Canva__perform-editing-operations","mcp__claude_ai_Canva__publish-brand-template","mcp__claude_ai_Canva__reply-to-comment","mcp__claude_ai_Canva__request-outline-review","mcp__claude_ai_Canva__resize-design","mcp__claude_ai_Canva__resolve-shortlink","mcp__claude_ai_Canva__search-brand-templates","mcp__claude_ai_Canva__search-designs","mcp__claude_ai_Canva__search-folders","mcp__claude_ai_Canva__start-editing-transaction","mcp__claude_ai_Canva__upload-asset-from-url","mcp__claude_ai_DATA_GOUV_FR__get_dataservice_info","mcp__claude_ai_DATA_GOUV_FR__get_dataservice_openapi_spec","mcp__claude_ai_DATA_GOUV_FR__get_dataset_info","mcp__claude_ai_DATA_GOUV_FR__get_metrics","mcp__claude_ai_DATA_GOUV_FR__get_resource_info","mcp__claude_ai_DATA_GOUV_FR__list_dataset_resources","mcp__claude_ai_DATA_GOUV_FR__query_resource_data","mcp__claude_ai_DATA_GOUV_FR__search_dataservices","mcp__claude_ai_DATA_GOUV_FR__search_datasets","mcp__claude_ai_DATA_GOUV_FR__search_organizations","mcp__claude_ai_Data_For_SEO__authenticate","mcp__claude_ai_Data_For_SEO__complete_authentication","mcp__claude_ai_Esteworld-Body__add_block","mcp__claude_ai_Esteworld-Body__delete_block","mcp__claude_ai_Esteworld-Body__find_esteworld_page","mcp__claude_ai_Esteworld-Body__fix_global_blocks","mcp__claude_ai_Esteworld-Body__get_block","mcp__claude_ai_Esteworld-Body__get_blocks_library","mcp__claude_ai_Esteworld-Body__get_breadcrumb","mcp__claude_ai_Esteworld-Body__get_fr_en_mapping","mcp__claude_ai_Esteworld-Body__get_internal_links","mcp__claude_ai_Esteworld-Body__get_internal_links_en","mcp__claude_ai_Esteworld-Body__get_maillage_rules","mcp__claude_ai_Esteworld-Body__get_page","mcp__claude_ai_Esteworld-Body__get_page_json","mcp__claude_ai_Esteworld-Body__get_page_status","mcp__claude_ai_Esteworld-Body__get_redirections","mcp__claude_ai_Esteworld-Body__get_section_content","mcp__claude_ai_Esteworld-Body__get_thematique_pages","mcp__claude_ai_Esteworld-Body__get_translation_languages","mcp__claude_ai_Esteworld-Body__list_pages","mcp__claude_ai_Esteworld-Body__list_pages_by_thematique","mcp__claude_ai_Esteworld-Body__list_pages_by_type","mcp__claude_ai_Esteworld-Body__list_pages_to_create","mcp__claude_ai_Esteworld-Body__list_pages_to_rewrite","mcp__claude_ai_Esteworld-Body__list_pages_with_esteworld","mcp__claude_ai_Esteworld-Body__list_pages_without_esteworld","mcp__claude_ai_Esteworld-Body__n8n_activate_workflow","mcp__claude_ai_Esteworld-Body__n8n_get_executions","mcp__claude_ai_Esteworld-Body__n8n_get_workflow","mcp__claude_ai_Esteworld-Body__n8n_list_workflows","mcp__claude_ai_Esteworld-Body__n8n_trigger_webhook","mcp__claude_ai_Esteworld-Body__preview_global_fixes","mcp__claude_ai_Esteworld-Body__reorder_blocks","mcp__claude_ai_Esteworld-Body__search_content","mcp__claude_ai_Esteworld-Body__search_links_by_keyword","mcp__claude_ai_Esteworld-Body__search_links_by_keyword_en","mcp__claude_ai_Esteworld-Body__submit_page","mcp__claude_ai_Esteworld-Body__submit_page_light","mcp__claude_ai_Esteworld-Body__translate_page","mcp__claude_ai_Esteworld-Body__update_block","mcp__claude_ai_Figma__add_code_connect_map","mcp__claude_ai_Figma__create_new_file","mcp__claude_ai_Figma__download_assets","mcp__claude_ai_Figma__generate_diagram","mcp__claude_ai_Figma__get_code_connect_map","mcp__claude_ai_Figma__get_code_connect_suggestions","mcp__claude_ai_Figma__get_context_for_code_connect","mcp__claude_ai_Figma__get_design_context","mcp__claude_ai_Figma__get_figjam","mcp__claude_ai_Figma__get_libraries","mcp__claude_ai_Figma__get_metadata","mcp__claude_ai_Figma__get_screenshot","mcp__claude_ai_Figma__get_variable_defs","mcp__claude_ai_Figma__search_design_system","mcp__claude_ai_Figma__send_code_connect_mappings","mcp__claude_ai_Figma__upload_assets","mcp__claude_ai_Figma__use_figma","mcp__claude_ai_Figma__whoami","mcp__claude_ai_Gmail__create_draft","mcp__claude_ai_Gmail__create_label","mcp__claude_ai_Gmail__delete_label","mcp__claude_ai_Gmail__get_thread","mcp__claude_ai_Gmail__label_message","mcp__claude_ai_Gmail__label_thread","mcp__claude_ai_Gmail__list_drafts","mcp__claude_ai_Gmail__list_labels","mcp__claude_ai_Gmail__search_threads","mcp__claude_ai_Gmail__unlabel_message","mcp__claude_ai_Gmail__unlabel_thread","mcp__claude_ai_Gmail__update_label","mcp__claude_ai_Google_Calendar__create_event","mcp__claude_ai_Google_Calendar__delete_event","mcp__claude_ai_Google_Calendar__get_event","mcp__claude_ai_Google_Calendar__list_calendars","mcp__claude_ai_Google_Calendar__list_events","mcp__claude_ai_Google_Calendar__respond_to_event","mcp__claude_ai_Google_Calendar__suggest_time","mcp__claude_ai_Google_Calendar__update_event","mcp__claude_ai_Google_Drive__copy_file","mcp__claude_ai_Google_Drive__create_file","mcp__claude_ai_Google_Drive__download_file_content","mcp__claude_ai_Google_Drive__get_file_metadata","mcp__claude_ai_Google_Drive__get_file_permissions","mcp__claude_ai_Google_Drive__list_recent_files","mcp__claude_ai_Google_Drive__read_file_content","mcp__claude_ai_Google_Drive__search_files","mcp__claude_ai_SEMRush__backlink_research","mcp__claude_ai_SEMRush__execute_report","mcp__claude_ai_SEMRush__get_report_schema","mcp__claude_ai_SEMRush__keyword_research","mcp__claude_ai_SEMRush__organic_research","mcp__claude_ai_SEMRush__overview_research","mcp__claude_ai_SEMRush__projects_research","mcp__claude_ai_SEMRush__siteaudit_research","mcp__claude_ai_SEMRush__subdomain_research","mcp__claude_ai_SEMRush__subfolder_research","mcp__claude_ai_SEMRush__tracking_research","mcp__claude_ai_SEMRush__trends_research","mcp__claude_ai_SEMRush__url_research","mcp__claude_ai_Vercel__add_toolbar_reaction","mcp__claude_ai_Vercel__change_toolbar_thread_resolve_status","mcp__claude_ai_Vercel__check_domain_availability_and_price","mcp__claude_ai_Vercel__deploy_to_vercel","mcp__claude_ai_Vercel__edit_toolbar_message","mcp__claude_ai_Vercel__get_access_to_vercel_url","mcp__claude_ai_Vercel__get_deployment","mcp__claude_ai_Vercel__get_deployment_build_logs","mcp__claude_ai_Vercel__get_project","mcp__claude_ai_Vercel__get_runtime_logs","mcp__claude_ai_Vercel__get_toolbar_thread","mcp__claude_ai_Vercel__import-claude-design-from-url","mcp__claude_ai_Vercel__list_deployments","mcp__claude_ai_Vercel__list_projects","mcp__claude_ai_Vercel__list_teams","mcp__claude_ai_Vercel__list_toolbar_threads","mcp__claude_ai_Vercel__reply_to_toolbar_thread","mcp__claude_ai_Vercel__search_vercel_documentation","mcp__claude_ai_Vercel__web_fetch_vercel_url","mcp__gpt-image-2__continue_edit_session","mcp__gpt-image-2__edit_image","mcp__gpt-image-2__end_edit_session","mcp__gpt-image-2__generate_image","mcp__gpt-image-2__list_edit_sessions","mcp__gpt-image-2__start_edit_session","mcp__hostinger__DNS_deleteDNSRecordsV1","mcp__hostinger__DNS_getDNSRecordsV1","mcp__hostinger__DNS_getDNSSnapshotListV1","mcp__hostinger__DNS_getDNSSnapshotV1","mcp__hostinger__DNS_resetDNSRecordsV1","mcp__hostinger__DNS_restoreDNSSnapshotV1","mcp__hostinger__DNS_updateDNSRecordsV1","mcp__hostinger__DNS_validateDNSRecordsV1","mcp__hostinger__VPS_activateFirewallV1","mcp__hostinger__VPS_attachPublicKeyV1","mcp__hostinger__VPS_createFirewallRuleV1","mcp__hostinger__VPS_createNewFirewallV1","mcp__hostinger__VPS_createNewProjectV1","mcp__hostinger__VPS_createPTRRecordV1","mcp__hostinger__VPS_createPostInstallScriptV1","mcp__hostinger__VPS_createPublicKeyV1","mcp__hostinger__VPS_createSnapshotV1","mcp__hostinger__VPS_deactivateFirewallV1","mcp__hostinger__VPS_deleteFirewallRuleV1","mcp__hostinger__VPS_deleteFirewallV1","mcp__hostinger__VPS_deletePTRRecordV1","mcp__hostinger__VPS_deletePostInstallScriptV1","mcp__hostinger__VPS_deleteProjectV1","mcp__hostinger__VPS_deletePublicKeyV1","mcp__hostinger__VPS_deleteSnapshotV1","mcp__hostinger__VPS_getActionDetailsV1","mcp__hostinger__VPS_getActionsV1","mcp__hostinger__VPS_getAttachedPublicKeysV1","mcp__hostinger__VPS_getBackupsV1","mcp__hostinger__VPS_getDataCenterListV1","mcp__hostinger__VPS_getFirewallDetailsV1","mcp__hostinger__VPS_getFirewallListV1","mcp__hostinger__VPS_getMetricsV1","mcp__hostinger__VPS_getPostInstallScriptV1","mcp__hostinger__VPS_getPostInstallScriptsV1","mcp__hostinger__VPS_getProjectContainersV1","mcp__hostinger__VPS_getProjectContentsV1","mcp__hostinger__VPS_getProjectListV1","mcp__hostinger__VPS_getProjectLogsV1","mcp__hostinger__VPS_getPublicKeysV1","mcp__hostinger__VPS_getScanMetricsV1","mcp__hostinger__VPS_getSnapshotV1","mcp__hostinger__VPS_getTemplateDetailsV1","mcp__hostinger__VPS_getTemplatesV1","mcp__hostinger__VPS_getVirtualMachineDetailsV1","mcp__hostinger__VPS_getVirtualMachinesV1","mcp__hostinger__VPS_installMonarxV1","mcp__hostinger__VPS_purchaseNewVirtualMachineV1","mcp__hostinger__VPS_recreateVirtualMachineV1","mcp__hostinger__VPS_resetHostnameV1","mcp__hostinger__VPS_restartProjectV1","mcp__hostinger__VPS_restartVirtualMachineV1","mcp__hostinger__VPS_restoreBackupV1","mcp__hostinger__VPS_restoreSnapshotV1","mcp__hostinger__VPS_setHostnameV1","mcp__hostinger__VPS_setNameserversV1","mcp__hostinger__VPS_setPanelPasswordV1","mcp__hostinger__VPS_setRootPasswordV1","mcp__hostinger__VPS_setupPurchasedVirtualMachineV1","mcp__hostinger__VPS_startProjectV1","mcp__hostinger__VPS_startRecoveryModeV1","mcp__hostinger__VPS_startVirtualMachineV1","mcp__hostinger__VPS_stopProjectV1","mcp__hostinger__VPS_stopRecoveryModeV1","mcp__hostinger__VPS_stopVirtualMachineV1","mcp__hostinger__VPS_syncFirewallV1","mcp__hostinger__VPS_uninstallMonarxV1","mcp__hostinger__VPS_updateFirewallRuleV1","mcp__hostinger__VPS_updatePostInstallScriptV1","mcp__hostinger__VPS_updateProjectV1","mcp__hostinger__billing_deletePaymentMethodV1","mcp__hostinger__billing_disableAutoRenewalV1","mcp__hostinger__billing_enableAutoRenewalV1","mcp__hostinger__billing_getCatalogItemListV1","mcp__hostinger__billing_getPaymentMethodListV1","mcp__hostinger__billing_getSubscriptionListV1","mcp__hostinger__billing_setDefaultPaymentMethodV1","mcp__hostinger__domains_checkDomainAvailabilityV1","mcp__hostinger__domains_createDomainForwardingV1","mcp__hostinger__domains_createWHOISProfileV1","mcp__hostinger__domains_deleteDomainForwardingV1","mcp__hostinger__domains_deleteWHOISProfileV1","mcp__hostinger__domains_disableDomainLockV1","mcp__hostinger__domains_disablePrivacyProtectionV1","mcp__hostinger__domains_enableDomainLockV1","mcp__hostinger__domains_enablePrivacyProtectionV1","mcp__hostinger__domains_getDomainDetailsV1","mcp__hostinger__domains_getDomainForwardingV1","mcp__hostinger__domains_getDomainListV1","mcp__hostinger__domains_getWHOISProfileListV1","mcp__hostinger__domains_getWHOISProfileUsageV1","mcp__hostinger__domains_getWHOISProfileV1","mcp__hostinger__domains_purchaseNewDomainV1","mcp__hostinger__domains_updateDomainNameserversV1","mcp__hostinger__hosting_createAccountDatabaseV1","mcp__hostinger__hosting_createWebsiteParkedDomainV1","mcp__hostinger__hosting_createWebsiteSubdomainV1","mcp__hostinger__hosting_createWebsiteV1","mcp__hostinger__hosting_deleteAccountDatabaseV1","mcp__hostinger__hosting_deleteWebsiteParkedDomainV1","mcp__hostinger__hosting_deleteWebsiteSubdomainV1","mcp__hostinger__hosting_deployJsApplication","mcp__hostinger__hosting_deployStaticWebsite","mcp__hostinger__hosting_deployWordpressPlugin","mcp__hostinger__hosting_deployWordpressTheme","mcp__hostinger__hosting_generateAFreeSubdomainV1","mcp__hostinger__hosting_importWordpressWebsite","mcp__hostinger__hosting_installWordPressV1","mcp__hostinger__hosting_listAccountDatabasesV1","mcp__hostinger__hosting_listAvailableDatacentersV1","mcp__hostinger__hosting_listJsDeployments","mcp__hostinger__hosting_listOrdersV1","mcp__hostinger__hosting_listWebsiteParkedDomainsV1","mcp__hostinger__hosting_listWebsiteSubdomainsV1","mcp__hostinger__hosting_listWebsitesV1","mcp__hostinger__hosting_listWordPressInstallationsV1","mcp__hostinger__hosting_showJsDeploymentLogs","mcp__hostinger__hosting_verifyDomainOwnershipV1","mcp__hostinger__reach_createANewContactSegmentV1","mcp__hostinger__reach_createANewContactV1","mcp__hostinger__reach_createNewContactsV1","mcp__hostinger__reach_deleteAContactV1","mcp__hostinger__reach_getSegmentDetailsV1","mcp__hostinger__reach_listContactGroupsV1","mcp__hostinger__reach_listContactsV1","mcp__hostinger__reach_listProfilesV1","mcp__hostinger__reach_listSegmentContactsV1","mcp__hostinger__reach_listSegmentsV1","mcp__hostinger__v2_getDomainVerificationsDIRECT","mcp__n8n-mcp__get_node","mcp__n8n-mcp__get_template","mcp__n8n-mcp__n8n_audit_instance","mcp__n8n-mcp__n8n_autofix_workflow","mcp__n8n-mcp__n8n_create_workflow","mcp__n8n-mcp__n8n_delete_workflow","mcp__n8n-mcp__n8n_deploy_template","mcp__n8n-mcp__n8n_executions","mcp__n8n-mcp__n8n_generate_workflow","mcp__n8n-mcp__n8n_get_workflow","mcp__n8n-mcp__n8n_health_check","mcp__n8n-mcp__n8n_list_workflows","mcp__n8n-mcp__n8n_manage_credentials","mcp__n8n-mcp__n8n_manage_datatable","mcp__n8n-mcp__n8n_test_workflow","mcp__n8n-mcp__n8n_update_full_workflow","mcp__n8n-mcp__n8n_update_partial_workflow","mcp__n8n-mcp__n8n_validate_workflow","mcp__n8n-mcp__n8n_workflow_versions","mcp__n8n-mcp__search_nodes","mcp__n8n-mcp__search_templates","mcp__n8n-mcp__tools_documentation","mcp__n8n-mcp__validate_node","mcp__n8n-mcp__validate_workflow","mcp__nanobanana__generate_image","mcp__nanobanana__maintenance","mcp__nanobanana__show_output_stats","mcp__nanobanana__upload_file","mcp__plugin_vercel_vercel__authenticate","mcp__plugin_vercel_vercel__complete_authentication","mcp__refero__refero_get_flow","mcp__refero__refero_get_screen","mcp__refero__refero_get_screen_image","mcp__refero__refero_get_similar_screens","mcp__refero__refero_get_style","mcp__refero__refero_search_flows","mcp__refero__refero_search_screens","mcp__refero__refero_search_styles","mcp__semrush__authenticate","mcp__semrush__complete_authentication","mcp__stock-images-mcp__search_stock_images","mcp__trello__add_card_to_list","mcp__trello__add_checklist_item","mcp__trello__add_comment","mcp__trello__add_list_to_board","mcp__trello__archive_card","mcp__trello__archive_list","mcp__trello__assign_member_to_card","mcp__trello__attach_file_to_card","mcp__trello__attach_image_data_to_card","mcp__trello__attach_image_to_card","mcp__trello__create_board","mcp__trello__create_checklist","mcp__trello__create_label","mcp__trello__delete_comment","mcp__trello__delete_label","mcp__trello__find_checklist_items_by_description","mcp__trello__get_acceptance_criteria","mcp__trello__get_active_board_info","mcp__trello__get_board_labels","mcp__trello__get_board_members","mcp__trello__get_card","mcp__trello__get_card_comments","mcp__trello__get_card_history","mcp__trello__get_cards_by_list_id","mcp__trello__get_checklist_by_name","mcp__trello__get_checklist_items","mcp__trello__get_health","mcp__trello__get_health_detailed","mcp__trello__get_health_metadata","mcp__trello__get_health_performance","mcp__trello__get_lists","mcp__trello__get_my_cards","mcp__trello__get_recent_activity","mcp__trello__list_boards","mcp__trello__list_boards_in_workspace","mcp__trello__list_workspaces","mcp__trello__move_card","mcp__trello__perform_system_repair","mcp__trello__remove_member_from_card","mcp__trello__set_active_board","mcp__trello__set_active_workspace","mcp__trello__update_card_details","mcp__trello__update_checklist_item","mcp__trello__update_comment","mcp__trello__update_label"],"addedLines":["CronCreate","CronDelete","CronList","DesignSync","EnterWorktree","ExitWorktree","ListMcpResourcesTool","Monitor","PushNotification","ReadMcpResourceDirTool","ReadMcpResourceTool","RemoteTrigger","SendMessage","TaskCreate","TaskGet","TaskList","TaskStop","TaskUpdate","WebFetch","WebSearch","mcp__EstimanouContent__add_article_block","mcp__EstimanouContent__add_block","mcp__EstimanouContent__create_article","mcp__EstimanouContent__create_page","mcp__EstimanouContent__delete_article","mcp__EstimanouContent__delete_article_block","mcp__EstimanouContent__delete_block","mcp__EstimanouContent__get_article","mcp__EstimanouContent__get_city_page","mcp__EstimanouContent__get_page","mcp__EstimanouContent__list_articles","mcp__EstimanouContent__list_available_blocks","mcp__EstimanouContent__list_city_pages","mcp__EstimanouContent__list_pages","mcp__EstimanouContent__list_site_urls","mcp__EstimanouContent__reorder_article_blocks","mcp__EstimanouContent__reorder_blocks","mcp__EstimanouContent__replace_article_content","mcp__EstimanouContent__replace_city_seo_content","mcp__EstimanouContent__replace_page_layout","mcp__EstimanouContent__search_internal_links","mcp__EstimanouContent__update_article","mcp__EstimanouContent__update_article_block","mcp__EstimanouContent__update_block","mcp__EstimanouContent__update_city_page_content","mcp__claude_ai_Ahref__batch-analysis","mcp__claude_ai_Ahref__brand-radar-ai-responses","mcp__claude_ai_Ahref__brand-radar-ai-responses-entities","mcp__claude_ai_Ahref__brand-radar-cited-domains","mcp__claude_ai_Ahref__brand-radar-cited-domains-entities","mcp__claude_ai_Ahref__brand-radar-cited-pages","mcp__claude_ai_Ahref__brand-radar-cited-pages-entities","mcp__claude_ai_Ahref__brand-radar-impressions-history","mcp__claude_ai_Ahref__brand-radar-impressions-overview","mcp__claude_ai_Ahref__brand-radar-impressions-overview-entities","mcp__claude_ai_Ahref__brand-radar-mentions-history","mcp__claude_ai_Ahref__brand-radar-mentions-history-entities","mcp__claude_ai_Ahref__brand-radar-mentions-overview","mcp__claude_ai_Ahref__brand-radar-mentions-overview-entities","mcp__claude_ai_Ahref__brand-radar-sov-history","mcp__claude_ai_Ahref__brand-radar-sov-history-entities","mcp__claude_ai_Ahref__brand-radar-sov-overview","mcp__claude_ai_Ahref__brand-radar-sov-overview-entities","mcp__claude_ai_Ahref__doc","mcp__claude_ai_Ahref__gsc-anonymous-queries","mcp__claude_ai_Ahref__gsc-ctr-by-position","mcp__claude_ai_Ahref__gsc-keyword-history","mcp__claude_ai_Ahref__gsc-keywords","mcp__claude_ai_Ahref__gsc-metrics-by-country","mcp__claude_ai_Ahref__gsc-page-history","mcp__claude_ai_Ahref__gsc-pages","mcp__claude_ai_Ahref__gsc-pages-history","mcp__claude_ai_Ahref__gsc-performance-by-device","mcp__claude_ai_Ahref__gsc-performance-by-position","mcp__claude_ai_Ahref__gsc-performance-history","mcp__claude_ai_Ahref__gsc-positions-history","mcp__claude_ai_Ahref__keywords-explorer-matching-terms","mcp__claude_ai_Ahref__keywords-explorer-overview","mcp__claude_ai_Ahref__keywords-explorer-related-terms","mcp__claude_ai_Ahref__keywords-explorer-search-suggestions","mcp__claude_ai_Ahref__keywords-explorer-volume-by-country","mcp__claude_ai_Ahref__keywords-explorer-volume-history","mcp__claude_ai_Ahref__management-brand-radar-prompts","mcp__claude_ai_Ahref__management-brand-radar-reports","mcp__claude_ai_Ahref__management-keyword-list-keywords","mcp__claude_ai_Ahref__management-locations","mcp__claude_ai_Ahref__management-project-competitors","mcp__claude_ai_Ahref__management-project-keywords","mcp__claude_ai_Ahref__management-projects","mcp__claude_ai_Ahref__public-crawler-ip-ranges","mcp__claude_ai_Ahref__public-crawler-ips","mcp__claude_ai_Ahref__public-domain-rating-free","mcp__claude_ai_Ahref__rank-tracker-competitors-domains","mcp__claude_ai_Ahref__rank-tracker-competitors-overview","mcp__claude_ai_Ahref__rank-tracker-competitors-pages","mcp__claude_ai_Ahref__rank-tracker-competitors-stats","mcp__claude_ai_Ahref__rank-tracker-overview","mcp__claude_ai_Ahref__rank-tracker-serp-overview","mcp__claude_ai_Ahref__render-data-table","mcp__claude_ai_Ahref__render-scorecard","mcp__claude_ai_Ahref__render-time-series-chart","mcp__claude_ai_Ahref__serp-overview","mcp__claude_ai_Ahref__site-audit-issues","mcp__claude_ai_Ahref__site-audit-page-content","mcp__claude_ai_Ahref__site-audit-page-explorer","mcp__claude_ai_Ahref__site-audit-projects","mcp__claude_ai_Ahref__site-explorer-ai-responses-count","mcp__claude_ai_Ahref__site-explorer-all-backlinks","mcp__claude_ai_Ahref__site-explorer-anchors","mcp__claude_ai_Ahref__site-explorer-backlinks-stats","mcp__claude_ai_Ahref__site-explorer-broken-backlinks","mcp__claude_ai_Ahref__site-explorer-crawled-pages","mcp__claude_ai_Ahref__site-explorer-domain-rating","mcp__claude_ai_Ahref__site-explorer-domain-rating-history","mcp__claude_ai_Ahref__site-explorer-keywords-history","mcp__claude_ai_Ahref__site-explorer-linked-anchors-external","mcp__claude_ai_Ahref__site-explorer-linked-anchors-internal","mcp__claude_ai_Ahref__site-explorer-linked-domains","mcp__claude_ai_Ahref__site-explorer-metrics","mcp__claude_ai_Ahref__site-explorer-metrics-by-country","mcp__claude_ai_Ahref__site-explorer-metrics-history","mcp__claude_ai_Ahref__site-explorer-organic-competitors","mcp__claude_ai_Ahref__site-explorer-organic-keywords","mcp__claude_ai_Ahref__site-explorer-outlinks-stats","mcp__claude_ai_Ahref__site-explorer-pages-by-backlinks","mcp__claude_ai_Ahref__site-explorer-pages-by-internal-links","mcp__claude_ai_Ahref__site-explorer-pages-by-traffic","mcp__claude_ai_Ahref__site-explorer-pages-history","mcp__claude_ai_Ahref__site-explorer-paid-pages","mcp__claude_ai_Ahref__site-explorer-refdomains-history","mcp__claude_ai_Ahref__site-explorer-referring-domains","mcp__claude_ai_Ahref__site-explorer-top-pages","mcp__claude_ai_Ahref__site-explorer-total-search-volume-history","mcp__claude_ai_Ahref__site-explorer-url-rating-history","mcp__claude_ai_Ahref__social-media-activity-history","mcp__claude_ai_Ahref__social-media-authors","mcp__claude_ai_Ahref__social-media-channel-metrics","mcp__claude_ai_Ahref__social-media-channels","mcp__claude_ai_Ahref__social-media-post-metrics","mcp__claude_ai_Ahref__social-media-posts","mcp__claude_ai_Ahref__subscription-info-limits-and-usage","mcp__claude_ai_Ahref__web-analytics-browser-versions","mcp__claude_ai_Ahref__web-analytics-browser-versions-chart","mcp__claude_ai_Ahref__web-analytics-browsers","mcp__claude_ai_Ahref__web-analytics-browsers-chart","mcp__claude_ai_Ahref__web-analytics-chart","mcp__claude_ai_Ahref__web-analytics-cities","mcp__claude_ai_Ahref__web-analytics-cities-chart","mcp__claude_ai_Ahref__web-analytics-continents","mcp__claude_ai_Ahref__web-analytics-continents-chart","mcp__claude_ai_Ahref__web-analytics-countries","mcp__claude_ai_Ahref__web-analytics-countries-chart","mcp__claude_ai_Ahref__web-analytics-devices","mcp__claude_ai_Ahref__web-analytics-devices-chart","mcp__claude_ai_Ahref__web-analytics-entry-pages","mcp__claude_ai_Ahref__web-analytics-entry-pages-chart","mcp__claude_ai_Ahref__web-analytics-exit-pages","mcp__claude_ai_Ahref__web-analytics-exit-pages-chart","mcp__claude_ai_Ahref__web-analytics-languages","mcp__claude_ai_Ahref__web-analytics-languages-chart","mcp__claude_ai_Ahref__web-analytics-operating-systems","mcp__claude_ai_Ahref__web-analytics-operating-systems-chart","mcp__claude_ai_Ahref__web-analytics-operating-systems-versions","mcp__claude_ai_Ahref__web-analytics-operating-systems-versions-chart","mcp__claude_ai_Ahref__web-analytics-referrers","mcp__claude_ai_Ahref__web-analytics-referrers-chart","mcp__claude_ai_Ahref__web-analytics-source-channels","mcp__claude_ai_Ahref__web-analytics-source-channels-chart","mcp__claude_ai_Ahref__web-analytics-sources","mcp__claude_ai_Ahref__web-analytics-sources-chart","mcp__claude_ai_Ahref__web-analytics-stats","mcp__claude_ai_Ahref__web-analytics-top-pages","mcp__claude_ai_Ahref__web-analytics-top-pages-chart","mcp__claude_ai_Ahref__web-analytics-utm-params","mcp__claude_ai_Ahref__web-analytics-utm-params-chart","mcp__claude_ai_Canva__cancel-editing-transaction","mcp__claude_ai_Canva__comment-on-design","mcp__claude_ai_Canva__commit-editing-transaction","mcp__claude_ai_Canva__copy-design","mcp__claude_ai_Canva__create-brand-template-draft","mcp__claude_ai_Canva__create-design-from-brand-template","mcp__claude_ai_Canva__create-design-from-candidate","mcp__claude_ai_Canva__create-folder","mcp__claude_ai_Canva__export-design","mcp__claude_ai_Canva__generate-design","mcp__claude_ai_Canva__generate-design-structured","mcp__claude_ai_Canva__get-assets","mcp__claude_ai_Canva__get-brand-template-dataset","mcp__claude_ai_Canva__get-design","mcp__claude_ai_Canva__get-design-candidates","mcp__claude_ai_Canva__get-design-content","mcp__claude_ai_Canva__get-design-pages","mcp__claude_ai_Canva__get-design-thumbnail","mcp__claude_ai_Canva__get-export-formats","mcp__claude_ai_Canva__get-presenter-notes","mcp__claude_ai_Canva__help","mcp__claude_ai_Canva__import-design-from-url","mcp__claude_ai_Canva__list-brand-kits","mcp__claude_ai_Canva__list-comments","mcp__claude_ai_Canva__list-folder-items","mcp__claude_ai_Canva__list-replies","mcp__claude_ai_Canva__merge-designs","mcp__claude_ai_Canva__move-item-to-folder","mcp__claude_ai_Canva__perform-editing-operations","mcp__claude_ai_Canva__publish-brand-template","mcp__claude_ai_Canva__reply-to-comment","mcp__claude_ai_Canva__request-outline-review","mcp__claude_ai_Canva__resize-design","mcp__claude_ai_Canva__resolve-shortlink","mcp__claude_ai_Canva__search-brand-templates","mcp__claude_ai_Canva__search-designs","mcp__claude_ai_Canva__search-folders","mcp__claude_ai_Canva__start-editing-transaction","mcp__claude_ai_Canva__upload-asset-from-url","mcp__claude_ai_DATA_GOUV_FR__get_dataservice_info","mcp__claude_ai_DATA_GOUV_FR__get_dataservice_openapi_spec","mcp__claude_ai_DATA_GOUV_FR__get_dataset_info","mcp__claude_ai_DATA_GOUV_FR__get_metrics","mcp__claude_ai_DATA_GOUV_FR__get_resource_info","mcp__claude_ai_DATA_GOUV_FR__list_dataset_resources","mcp__claude_ai_DATA_GOUV_FR__query_resource_data","mcp__claude_ai_DATA_GOUV_FR__search_dataservices","mcp__claude_ai_DATA_GOUV_FR__search_datasets","mcp__claude_ai_DATA_GOUV_FR__search_organizations","mcp__claude_ai_Data_For_SEO__authenticate","mcp__claude_ai_Data_For_SEO__complete_authentication","mcp__claude_ai_Esteworld-Body__add_block","mcp__claude_ai_Esteworld-Body__delete_block","mcp__claude_ai_Esteworld-Body__find_esteworld_page","mcp__claude_ai_Esteworld-Body__fix_global_blocks","mcp__claude_ai_Esteworld-Body__get_block","mcp__claude_ai_Esteworld-Body__get_blocks_library","mcp__claude_ai_Esteworld-Body__get_breadcrumb","mcp__claude_ai_Esteworld-Body__get_fr_en_mapping","mcp__claude_ai_Esteworld-Body__get_internal_links","mcp__claude_ai_Esteworld-Body__get_internal_links_en","mcp__claude_ai_Esteworld-Body__get_maillage_rules","mcp__claude_ai_Esteworld-Body__get_page","mcp__claude_ai_Esteworld-Body__get_page_json","mcp__claude_ai_Esteworld-Body__get_page_status","mcp__claude_ai_Esteworld-Body__get_redirections","mcp__claude_ai_Esteworld-Body__get_section_content","mcp__claude_ai_Esteworld-Body__get_thematique_pages","mcp__claude_ai_Esteworld-Body__get_translation_languages","mcp__claude_ai_Esteworld-Body__list_pages","mcp__claude_ai_Esteworld-Body__list_pages_by_thematique","mcp__claude_ai_Esteworld-Body__list_pages_by_type","mcp__claude_ai_Esteworld-Body__list_pages_to_create","mcp__claude_ai_Esteworld-Body__list_pages_to_rewrite","mcp__claude_ai_Esteworld-Body__list_pages_with_esteworld","mcp__claude_ai_Esteworld-Body__list_pages_without_esteworld","mcp__claude_ai_Esteworld-Body__n8n_activate_workflow","mcp__claude_ai_Esteworld-Body__n8n_get_executions","mcp__claude_ai_Esteworld-Body__n8n_get_workflow","mcp__claude_ai_Esteworld-Body__n8n_list_workflows","mcp__claude_ai_Esteworld-Body__n8n_trigger_webhook","mcp__claude_ai_Esteworld-Body__preview_global_fixes","mcp__claude_ai_Esteworld-Body__reorder_blocks","mcp__claude_ai_Esteworld-Body__search_content","mcp__claude_ai_Esteworld-Body__search_links_by_keyword","mcp__claude_ai_Esteworld-Body__search_links_by_keyword_en","mcp__claude_ai_Esteworld-Body__submit_page","mcp__claude_ai_Esteworld-Body__submit_page_light","mcp__claude_ai_Esteworld-Body__translate_page","mcp__claude_ai_Esteworld-Body__update_block","mcp__claude_ai_Figma__add_code_connect_map","mcp__claude_ai_Figma__create_new_file","mcp__claude_ai_Figma__download_assets","mcp__claude_ai_Figma__generate_diagram","mcp__claude_ai_Figma__get_code_connect_map","mcp__claude_ai_Figma__get_code_connect_suggestions","mcp__claude_ai_Figma__get_context_for_code_connect","mcp__claude_ai_Figma__get_design_context","mcp__claude_ai_Figma__get_figjam","mcp__claude_ai_Figma__get_libraries","mcp__claude_ai_Figma__get_metadata","mcp__claude_ai_Figma__get_screenshot","mcp__claude_ai_Figma__get_variable_defs","mcp__claude_ai_Figma__search_design_system","mcp__claude_ai_Figma__send_code_connect_mappings","mcp__claude_ai_Figma__upload_assets","mcp__claude_ai_Figma__use_figma","mcp__claude_ai_Figma__whoami","mcp__claude_ai_Gmail__create_draft","mcp__claude_ai_Gmail__create_label","mcp__claude_ai_Gmail__delete_label","mcp__claude_ai_Gmail__get_thread","mcp__claude_ai_Gmail__label_message","mcp__claude_ai_Gmail__label_thread","mcp__claude_ai_Gmail__list_drafts","mcp__claude_ai_Gmail__list_labels","mcp__claude_ai_Gmail__search_threads","mcp__claude_ai_Gmail__unlabel_message","mcp__claude_ai_Gmail__unlabel_thread","mcp__claude_ai_Gmail__update_label","mcp__claude_ai_Google_Calendar__create_event","mcp__claude_ai_Google_Calendar__delete_event","mcp__claude_ai_Google_Calendar__get_event","mcp__claude_ai_Google_Calendar__list_calendars","mcp__claude_ai_Google_Calendar__list_events","mcp__claude_ai_Google_Calendar__respond_to_event","mcp__claude_ai_Google_Calendar__suggest_time","mcp__claude_ai_Google_Calendar__update_event","mcp__claude_ai_Google_Drive__copy_file","mcp__claude_ai_Google_Drive__create_file","mcp__claude_ai_Google_Drive__download_file_content","mcp__claude_ai_Google_Drive__get_file_metadata","mcp__claude_ai_Google_Drive__get_file_permissions","mcp__claude_ai_Google_Drive__list_recent_files","mcp__claude_ai_Google_Drive__read_file_content","mcp__claude_ai_Google_Drive__search_files","mcp__claude_ai_SEMRush__backlink_research","mcp__claude_ai_SEMRush__execute_report","mcp__claude_ai_SEMRush__get_report_schema","mcp__claude_ai_SEMRush__keyword_research","mcp__claude_ai_SEMRush__organic_research","mcp__claude_ai_SEMRush__overview_research","mcp__claude_ai_SEMRush__projects_research","mcp__claude_ai_SEMRush__siteaudit_research","mcp__claude_ai_SEMRush__subdomain_research","mcp__claude_ai_SEMRush__subfolder_research","mcp__claude_ai_SEMRush__tracking_research","mcp__claude_ai_SEMRush__trends_research","mcp__claude_ai_SEMRush__url_research","mcp__claude_ai_Vercel__add_toolbar_reaction","mcp__claude_ai_Vercel__change_toolbar_thread_resolve_status","mcp__claude_ai_Vercel__check_domain_availability_and_price","mcp__claude_ai_Vercel__deploy_to_vercel","mcp__claude_ai_Vercel__edit_toolbar_message","mcp__claude_ai_Vercel__get_access_to_vercel_url","mcp__claude_ai_Vercel__get_deployment","mcp__claude_ai_Vercel__get_deployment_build_logs","mcp__claude_ai_Vercel__get_project","mcp__claude_ai_Vercel__get_runtime_logs","mcp__claude_ai_Vercel__get_toolbar_thread","mcp__claude_ai_Vercel__import-claude-design-from-url","mcp__claude_ai_Vercel__list_deployments","mcp__claude_ai_Vercel__list_projects","mcp__claude_ai_Vercel__list_teams","mcp__claude_ai_Vercel__list_toolbar_threads","mcp__claude_ai_Vercel__reply_to_toolbar_thread","mcp__claude_ai_Vercel__search_vercel_documentation","mcp__claude_ai_Vercel__web_fetch_vercel_url","mcp__gpt-image-2__continue_edit_session","mcp__gpt-image-2__edit_image","mcp__gpt-image-2__end_edit_session","mcp__gpt-image-2__generate_image","mcp__gpt-image-2__list_edit_sessions","mcp__gpt-image-2__start_edit_session","mcp__hostinger__DNS_deleteDNSRecordsV1","mcp__hostinger__DNS_getDNSRecordsV1","mcp__hostinger__DNS_getDNSSnapshotListV1","mcp__hostinger__DNS_getDNSSnapshotV1","mcp__hostinger__DNS_resetDNSRecordsV1","mcp__hostinger__DNS_restoreDNSSnapshotV1","mcp__hostinger__DNS_updateDNSRecordsV1","mcp__hostinger__DNS_validateDNSRecordsV1","mcp__hostinger__VPS_activateFirewallV1","mcp__hostinger__VPS_attachPublicKeyV1","mcp__hostinger__VPS_createFirewallRuleV1","mcp__hostinger__VPS_createNewFirewallV1","mcp__hostinger__VPS_createNewProjectV1","mcp__hostinger__VPS_createPTRRecordV1","mcp__hostinger__VPS_createPostInstallScriptV1","mcp__hostinger__VPS_createPublicKeyV1","mcp__hostinger__VPS_createSnapshotV1","mcp__hostinger__VPS_deactivateFirewallV1","mcp__hostinger__VPS_deleteFirewallRuleV1","mcp__hostinger__VPS_deleteFirewallV1","mcp__hostinger__VPS_deletePTRRecordV1","mcp__hostinger__VPS_deletePostInstallScriptV1","mcp__hostinger__VPS_deleteProjectV1","mcp__hostinger__VPS_deletePublicKeyV1","mcp__hostinger__VPS_deleteSnapshotV1","mcp__hostinger__VPS_getActionDetailsV1","mcp__hostinger__VPS_getActionsV1","mcp__hostinger__VPS_getAttachedPublicKeysV1","mcp__hostinger__VPS_getBackupsV1","mcp__hostinger__VPS_getDataCenterListV1","mcp__hostinger__VPS_getFirewallDetailsV1","mcp__hostinger__VPS_getFirewallListV1","mcp__hostinger__VPS_getMetricsV1","mcp__hostinger__VPS_getPostInstallScriptV1","mcp__hostinger__VPS_getPostInstallScriptsV1","mcp__hostinger__VPS_getProjectContainersV1","mcp__hostinger__VPS_getProjectContentsV1","mcp__hostinger__VPS_getProjectListV1","mcp__hostinger__VPS_getProjectLogsV1","mcp__hostinger__VPS_getPublicKeysV1","mcp__hostinger__VPS_getScanMetricsV1","mcp__hostinger__VPS_getSnapshotV1","mcp__hostinger__VPS_getTemplateDetailsV1","mcp__hostinger__VPS_getTemplatesV1","mcp__hostinger__VPS_getVirtualMachineDetailsV1","mcp__hostinger__VPS_getVirtualMachinesV1","mcp__hostinger__VPS_installMonarxV1","mcp__hostinger__VPS_purchaseNewVirtualMachineV1","mcp__hostinger__VPS_recreateVirtualMachineV1","mcp__hostinger__VPS_resetHostnameV1","mcp__hostinger__VPS_restartProjectV1","mcp__hostinger__VPS_restartVirtualMachineV1","mcp__hostinger__VPS_restoreBackupV1","mcp__hostinger__VPS_restoreSnapshotV1","mcp__hostinger__VPS_setHostnameV1","mcp__hostinger__VPS_setNameserversV1","mcp__hostinger__VPS_setPanelPasswordV1","mcp__hostinger__VPS_setRootPasswordV1","mcp__hostinger__VPS_setupPurchasedVirtualMachineV1","mcp__hostinger__VPS_startProjectV1","mcp__hostinger__VPS_startRecoveryModeV1","mcp__hostinger__VPS_startVirtualMachineV1","mcp__hostinger__VPS_stopProjectV1","mcp__hostinger__VPS_stopRecoveryModeV1","mcp__hostinger__VPS_stopVirtualMachineV1","mcp__hostinger__VPS_syncFirewallV1","mcp__hostinger__VPS_uninstallMonarxV1","mcp__hostinger__VPS_updateFirewallRuleV1","mcp__hostinger__VPS_updatePostInstallScriptV1","mcp__hostinger__VPS_updateProjectV1","mcp__hostinger__billing_deletePaymentMethodV1","mcp__hostinger__billing_disableAutoRenewalV1","mcp__hostinger__billing_enableAutoRenewalV1","mcp__hostinger__billing_getCatalogItemListV1","mcp__hostinger__billing_getPaymentMethodListV1","mcp__hostinger__billing_getSubscriptionListV1","mcp__hostinger__billing_setDefaultPaymentMethodV1","mcp__hostinger__domains_checkDomainAvailabilityV1","mcp__hostinger__domains_createDomainForwardingV1","mcp__hostinger__domains_createWHOISProfileV1","mcp__hostinger__domains_deleteDomainForwardingV1","mcp__hostinger__domains_deleteWHOISProfileV1","mcp__hostinger__domains_disableDomainLockV1","mcp__hostinger__domains_disablePrivacyProtectionV1","mcp__hostinger__domains_enableDomainLockV1","mcp__hostinger__domains_enablePrivacyProtectionV1","mcp__hostinger__domains_getDomainDetailsV1","mcp__hostinger__domains_getDomainForwardingV1","mcp__hostinger__domains_getDomainListV1","mcp__hostinger__domains_getWHOISProfileListV1","mcp__hostinger__domains_getWHOISProfileUsageV1","mcp__hostinger__domains_getWHOISProfileV1","mcp__hostinger__domains_purchaseNewDomainV1","mcp__hostinger__domains_updateDomainNameserversV1","mcp__hostinger__hosting_createAccountDatabaseV1","mcp__hostinger__hosting_createWebsiteParkedDomainV1","mcp__hostinger__hosting_createWebsiteSubdomainV1","mcp__hostinger__hosting_createWebsiteV1","mcp__hostinger__hosting_deleteAccountDatabaseV1","mcp__hostinger__hosting_deleteWebsiteParkedDomainV1","mcp__hostinger__hosting_deleteWebsiteSubdomainV1","mcp__hostinger__hosting_deployJsApplication","mcp__hostinger__hosting_deployStaticWebsite","mcp__hostinger__hosting_deployWordpressPlugin","mcp__hostinger__hosting_deployWordpressTheme","mcp__hostinger__hosting_generateAFreeSubdomainV1","mcp__hostinger__hosting_importWordpressWebsite","mcp__hostinger__hosting_installWordPressV1","mcp__hostinger__hosting_listAccountDatabasesV1","mcp__hostinger__hosting_listAvailableDatacentersV1","mcp__hostinger__hosting_listJsDeployments","mcp__hostinger__hosting_listOrdersV1","mcp__hostinger__hosting_listWebsiteParkedDomainsV1","mcp__hostinger__hosting_listWebsiteSubdomainsV1","mcp__hostinger__hosting_listWebsitesV1","mcp__hostinger__hosting_listWordPressInstallationsV1","mcp__hostinger__hosting_showJsDeploymentLogs","mcp__hostinger__hosting_verifyDomainOwnershipV1","mcp__hostinger__reach_createANewContactSegmentV1","mcp__hostinger__reach_createANewContactV1","mcp__hostinger__reach_createNewContactsV1","mcp__hostinger__reach_deleteAContactV1","mcp__hostinger__reach_getSegmentDetailsV1","mcp__hostinger__reach_listContactGroupsV1","mcp__hostinger__reach_listContactsV1","mcp__hostinger__reach_listProfilesV1","mcp__hostinger__reach_listSegmentContactsV1","mcp__hostinger__reach_listSegmentsV1","mcp__hostinger__v2_getDomainVerificationsDIRECT","mcp__n8n-mcp__get_node","mcp__n8n-mcp__get_template","mcp__n8n-mcp__n8n_audit_instance","mcp__n8n-mcp__n8n_autofix_workflow","mcp__n8n-mcp__n8n_create_workflow","mcp__n8n-mcp__n8n_delete_workflow","mcp__n8n-mcp__n8n_deploy_template","mcp__n8n-mcp__n8n_executions","mcp__n8n-mcp__n8n_generate_workflow","mcp__n8n-mcp__n8n_get_workflow","mcp__n8n-mcp__n8n_health_check","mcp__n8n-mcp__n8n_list_workflows","mcp__n8n-mcp__n8n_manage_credentials","mcp__n8n-mcp__n8n_manage_datatable","mcp__n8n-mcp__n8n_test_workflow","mcp__n8n-mcp__n8n_update_full_workflow","mcp__n8n-mcp__n8n_update_partial_workflow","mcp__n8n-mcp__n8n_validate_workflow","mcp__n8n-mcp__n8n_workflow_versions","mcp__n8n-mcp__search_nodes","mcp__n8n-mcp__search_templates","mcp__n8n-mcp__tools_documentation","mcp__n8n-mcp__validate_node","mcp__n8n-mcp__validate_workflow","mcp__nanobanana__generate_image","mcp__nanobanana__maintenance","mcp__nanobanana__show_output_stats","mcp__nanobanana__upload_file","mcp__plugin_vercel_vercel__authenticate","mcp__plugin_vercel_vercel__complete_authentication","mcp__refero__refero_get_flow","mcp__refero__refero_get_screen","mcp__refero__refero_get_screen_image","mcp__refero__refero_get_similar_screens","mcp__refero__refero_get_style","mcp__refero__refero_search_flows","mcp__refero__refero_search_screens","mcp__refero__refero_search_styles","mcp__semrush__authenticate","mcp__semrush__complete_authentication","mcp__stock-images-mcp__search_stock_images","mcp__trello__add_card_to_list","mcp__trello__add_checklist_item","mcp__trello__add_comment","mcp__trello__add_list_to_board","mcp__trello__archive_card","mcp__trello__archive_list","mcp__trello__assign_member_to_card","mcp__trello__attach_file_to_card","mcp__trello__attach_image_data_to_card","mcp__trello__attach_image_to_card","mcp__trello__create_board","mcp__trello__create_checklist","mcp__trello__create_label","mcp__trello__delete_comment","mcp__trello__delete_label","mcp__trello__find_checklist_items_by_description","mcp__trello__get_acceptance_criteria","mcp__trello__get_active_board_info","mcp__trello__get_board_labels","mcp__trello__get_board_members","mcp__trello__get_card","mcp__trello__get_card_comments","mcp__trello__get_card_history","mcp__trello__get_cards_by_list_id","mcp__trello__get_checklist_by_name","mcp__trello__get_checklist_items","mcp__trello__get_health","mcp__trello__get_health_detailed","mcp__trello__get_health_metadata","mcp__trello__get_health_performance","mcp__trello__get_lists","mcp__trello__get_my_cards","mcp__trello__get_recent_activity","mcp__trello__list_boards","mcp__trello__list_boards_in_workspace","mcp__trello__list_workspaces","mcp__trello__move_card","mcp__trello__perform_system_repair","mcp__trello__remove_member_from_card","mcp__trello__set_active_board","mcp__trello__set_active_workspace","mcp__trello__update_card_details","mcp__trello__update_checklist_item","mcp__trello__update_comment","mcp__trello__update_label"],"removedNames":[],"readdedNames":[]},"type":"attachment","uuid":"5e7a7ff0-aae7-4df3-be50-53e9d8245472","timestamp":"2026-06-23T12:09:36.784Z","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":"5e7a7ff0-aae7-4df3-be50-53e9d8245472","isSidechain":true,"agentId":"af9f12518094995ed","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":"bd2d6700-b3ce-47e8-b3bf-5fe7c5562e56","timestamp":"2026-06-23T12:09:36.785Z","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":"bd2d6700-b3ce-47e8-b3bf-5fe7c5562e56","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01QPiqoRHeq3mxaQX6bQEERv","type":"message","role":"assistant","content":[{"type":"text","text":"I'll explore the repository thoroughly to understand the bot's behavior, knowledge, and system requirements."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":17700,"cache_read_input_tokens":5959,"output_tokens":108,"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":17700},"inference_geo":"not_available","iterations":[{"input_tokens":3,"output_tokens":108,"cache_read_input_tokens":5959,"cache_creation_input_tokens":17700,"cache_creation":{"ephemeral_5m_input_tokens":17700,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAdYH1zp71rbNZKucoS","attributionAgent":"Explore","type":"assistant","uuid":"25b786e2-9e93-485b-a4cd-af02738633d6","timestamp":"2026-06-23T12:09:38.438Z","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":"25b786e2-9e93-485b-a4cd-af02738633d6","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01QPiqoRHeq3mxaQX6bQEERv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FsaNFvJSxmuJyRkMxLoDEU","name":"Bash","input":{"command":"find /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing -type f -name \"*.md\" | head -20"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":17700,"cache_read_input_tokens":5959,"output_tokens":108,"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":17700},"inference_geo":"not_available","iterations":[{"input_tokens":3,"output_tokens":108,"cache_read_input_tokens":5959,"cache_creation_input_tokens":17700,"cache_creation":{"ephemeral_5m_input_tokens":17700,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAdYH1zp71rbNZKucoS","attributionAgent":"Explore","type":"assistant","uuid":"a91ac20f-f372-4d2c-b314-d219fa60644a","timestamp":"2026-06-23T12:09:38.468Z","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":"a91ac20f-f372-4d2c-b314-d219fa60644a","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FsaNFvJSxmuJyRkMxLoDEU","type":"tool_result","content":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/CLAUDE.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/README.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/HANDOFF.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/docs/presentation-assistant-covalba.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/public/presentation-assistant-covalba.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/source-map-js/README.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/style-to-object/README.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/swr/README.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/esbuild/LICENSE.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/esbuild/README.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-task-list-item/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-util-classify-character/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-is/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/markdown-table/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/is-alphanumerical/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-visit/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/zod/README.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/trough/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-mdx-expression/readme.md","is_error":false}]},"uuid":"e0cfa023-cf3a-42b9-a779-5d9899924437","timestamp":"2026-06-23T12:09:38.568Z","toolUseResult":{"stdout":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/CLAUDE.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/README.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/HANDOFF.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/docs/presentation-assistant-covalba.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/public/presentation-assistant-covalba.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/source-map-js/README.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/style-to-object/README.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/swr/README.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/esbuild/LICENSE.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/esbuild/README.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-task-list-item/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-util-classify-character/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-is/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/markdown-table/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/is-alphanumerical/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-visit/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/zod/README.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/trough/readme.md\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-mdx-expression/readme.md","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"a91ac20f-f372-4d2c-b314-d219fa60644a","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":"e0cfa023-cf3a-42b9-a779-5d9899924437","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CA1375UyjkwjgMizKg2QsR","type":"message","role":"assistant","content":[{"type":"text","text":"Good — found the key docs. Let me read them in parallel."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2377,"cache_read_input_tokens":23659,"cache_creation":{"ephemeral_5m_input_tokens":2377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAdfz7qKaLuYPdYZ4fD","attributionAgent":"Explore","type":"assistant","uuid":"32b6c7f0-f3e2-475f-a37f-f0838fc19a31","timestamp":"2026-06-23T12:09:43.656Z","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":"32b6c7f0-f3e2-475f-a37f-f0838fc19a31","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CA1375UyjkwjgMizKg2QsR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015wCQmJg8k26d38zjnG5cFW","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2377,"cache_read_input_tokens":23659,"cache_creation":{"ephemeral_5m_input_tokens":2377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAdfz7qKaLuYPdYZ4fD","attributionAgent":"Explore","type":"assistant","uuid":"8500bfac-c0d2-4f56-a22b-e99b0dee4f78","timestamp":"2026-06-23T12:09:44.262Z","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":"8500bfac-c0d2-4f56-a22b-e99b0dee4f78","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015wCQmJg8k26d38zjnG5cFW","type":"tool_result","content":"1\t# Base de connaissances — Covalba (Cool Roof)\n2\t\n3\t> Source : contenu du site covalba.fr. Tous les chiffres ci-dessous sont **issus du site**.\n4\t> Ne jamais inventer une valeur absente de ce document. Pour un montant précis (devis, prime,\n5\t> économies), l'assistant **n'effectue aucun calcul** : il redirige vers la page-formulaire dédiée.\n6\t\n7\t---\n8\t\n9\t## 1. L'entreprise\n10\t\n11\t- **Covalba** : fabricant français de revêtements Cool Roof (anti-chaleur) pour bâtiments professionnels.\n12\t- **Société créée en 2011** ; **marque Covalba lancée en 2018** (début de commercialisation de la peinture réfléchissante).\n13\t- Se présente comme **expert et technicien de la toiture**, pas peintre généraliste. Conçoit **et** fabrique ses revêtements en France.\n14\t- 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.\n15\t- Fondateurs : **Maxime et Bertrand**, présents sur le terrain.\n16\t- **Réseau d'applicateurs certifiés** : ~40 applicateurs agréés en France métropolitaine + outre-mer (Guyane, Guadeloupe), Europe (Belgique, Espagne, Suisse) et Afrique.\n17\t- **Zone d'intervention : France entière, DOM-TOM inclus** (réseau aussi à l'international).\n18\t- Presse : Capital, Le Figaro Immobilier, Le Parisien, Zepros, France Bleu.\n19\t- **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).\n20\t\n21\t## 2. Qu'est-ce que le Cool Roof ?\n22\t\n23\tRevêtement **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).\n24\t\n25\tIndicateurs techniques (technologie CovaTherm) :\n26\t- **Réflectance solaire** : jusqu'à **94 %** du rayonnement réfléchi.\n27\t- **Émissivité thermique** : **88 %** de la chaleur reçue renvoyée.\n28\t- **SRI** (Solar Reflectance Index, norme **ASTM E1980**) : **119 à l'état neuf, 118 après vieillissement** (test accéléré 4 000 h).\n29\t- 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).\n30\t\n31\t## 3. Produits\n32\t\n33\t### CovaTherm (CovaTherm 8 & CovaTherm 20) — `/solutions/covatherm`\n34\tPeinture cool roof opaque, résine **polyuréthane** ; CovaTherm 20 ajoute un **vernis de finition Top Coat anti-UV**.\n35\t- Supports : ~80 % des toitures — membrane bitumineuse (80 % des chantiers), béton, EPDM, fibrociment, ardoise/tuile jusqu'à 15° de pente, PVC.\n36\t- **CovaTherm 8** : garantie **8 ans** (couche d'entretien à 8-10 ans). Prix **18-20 €/m²**.\n37\t- **CovaTherm 20** : performances maintenues **20 ans** sans reprise. Prix **20-25 €/m²**.\n38\t- SRI 119 neuf / 118 vieilli ; rebouche les microfissures jusqu'à **2 mm** ; poids **0,8-1,2 kg/m²** (pas de renfort de charpente).\n39\t- Éligible Prime CEE (BAT-EN-112).\n40\t\n41\t### CovaTherm Light (laque solaire) — `/solutions/covatherm-light`\n42\tLaque **non opacifiante** pour surfaces **translucides** : lanterneaux, voûtes éclairantes, skydômes en **polycarbonate** ou polyester. **Pas pour le vitrage/verrière.**\n43\t- 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.\n44\t- Durée de vie **5 à 8 ans** (selon le support polycarbonate). **Non éligible** Prime CEE. Prix au devis.\n45\t- Pertinent quand les lanterneaux occupent **≥ 25 %** de la toiture.\n46\t\n47\t### CovaSeal 20 — `/solutions/covaseal-20`\n48\t**Étanchéité liquide + cool roof en une application** (résine acrylique élastomère + Top Coat). Pour toitures plates/faible pente avec microfissures, boursouflures ou petites infiltrations.\n49\t- Durée **20 ans**, prolonge l'étanchéité existante de **8-10 ans**. SRI **107**. Rebouche jusqu'à 2 mm. Application entre **10 et 35 °C**.\n50\t- Prix **20-25 € HT/m²** tout compris (dégressif > 2 000 m²). Éligible CEE. Classement feu **Broof(t3)**.\n51\t\n52\t### CovaMetal 20 — `/solutions/covametal-20`\n53\t**Anti-corrosion + étanchéité + cool roof** pour toitures **métalliques / bac acier** (corrodées mais saines).\n54\t- Résine élastomère (200 % d'allongement) + anti-corrosion ; réfléchit jusqu'à **90 %** du rayonnement. SRI **107**. Durée **20 ans**.\n55\t- Prix **20-25 € HT/m²** tout compris vs **80-120 €/m²** pour un remplacement de bac acier. Éligible CEE. Broof(t3).\n56\t\n57\t## 4. Prix & ROI\n58\t\n59\t- 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**.\n60\t- 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**.\n61\t- **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.\n62\t- Le prix exact dépend de la surface, de l'état du support et de la durée de vie visée → orienter vers la page **Estimation**.\n63\t\n64\t## 5. Types de toiture\n65\t\n66\t- **Membrane bitumineuse** (`/toitures/membrane-bitumineuse`) — produit CovaTherm (ou CovaSeal 20 si étanchéité fatiguée). 80 % des chantiers Covalba.\n67\t- **Bac acier** (`/toitures/bac-acier`) — CovaMetal 20 (corrosion + réflectif) + finition CovaTherm, sans dépose de tôle. Ne s'applique pas sur tôle perforée.\n68\t- **Toiture plate / terrasse** (`/toitures/toiture-plate`) — CovaSeal 20 (étanchéité + fraîcheur).\n69\t- **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.\n70\t- **Tuiles ciment** (`/toitures/tuiles-ciment`) — CovaTherm adapté supports poreux, sans dépose.\n71\t\n72\t## 6. Secteurs\n73\t\n74\tCovalba cible le **B2B, bâtiments professionnels de grande toiture** (à partir de ~1 000 m²). Pages dédiées :\n75\t- **Industrie** (`/industrie`, `/industries/...`) : usines, agroalimentaire, pharma, aéronautique/défense. Jusqu'à **-40 %** de besoins de climatisation. **Non éligible** prime CEE (→ aides régionales, ADEME, ICPE).\n76\t- **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.\n77\t- **Distribution / grande surface** (`/industries/distribution`) : confort client + soulagement des meubles froids. Souvent **éligible CEE** (usage commercial + PAC).\n78\t- **Logistique** (`/industries/logistique`) : grands entrepôts, bac acier ; ROI le plus rapide sur les entrepôts **frigorifiques**.\n79\t- **Collectivités** (`/industries/collectivites`) : écoles, gymnases, EHPAD, mairies. **Pas de CEE** mais **Fonds Vert** (jusqu'à 80 % des dépenses éligibles, cumulable DETR/DSIL).\n80\t- **Agricole** (`/industries/agricole`) : élevage (stress thermique des bovins dès 22 °C), bâtiments bac acier/fibrociment. Aide **PCAE** (~30 % des dépenses, régional). Pas de CEE.\n81\t- **ERP** (`/industries/erp`) : hôtels, restaurants, cinémas, salles de sport… Certains ERP commerciaux climatisés par PAC peuvent être éligibles CEE.\n82\t\n83\t## 7. Prime CEE / BAT-EN-112\n84\t\n85\tFiche d'opération standardisée **BAT-EN-112** (Certificats d'Économies d'Énergie).\n86\t- **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.\n87\t- **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.\n88\t- **Non éligibles** : industrie, bureaux, collectivités, résidentiel.\n89\t- **Règle d'or** : ne jamais signer le devis des travaux **avant** d'avoir initié la démarche CEE (sinon l'opération n'est plus éligible).\n90\t- L'assistant **ne calcule pas** le montant → page **Prime CEE (BAT-EN-112)**.\n91\t\n92\t## 8. Pose & chantier\n93\t\n94\t- **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.\n95\t- Préparation : **nettoyage haute pression** (doux sur fibrociment), reprise des points singuliers, primaire ; pas de décapage. Les fuites actives sont traitées avant.\n96\t- **Chantier 2 à 5 jours**, depuis l'extérieur, **sans interruption d'activité**, compatible HACCP/BPF/ISO.\n97\t- Pose réservée aux **applicateurs certifiés** (condition de la garantie fabricant). **Garantie biennale** sur l'adhésion ; la **garantie décennale** de l'étanchéité existante est maintenue.\n98\t\n99\t## 9. Questions fréquentes (réponses du site)\n100\t\n101\t- **Activité perturbée ?** Non : tout se passe sur le toit, depuis l'extérieur, pas de bruit ni poussière. 2 à 5 jours.\n102\t- **Hiver, plus de chauffage ?** Non dans la grande majorité des cas : en hiver le soleil est bas et rare, il chauffe surtout les façades. La perte est minime et largement compensée par les gains d'été.\n103\t- **Panneaux solaires ?** Compatible et bénéfique : une toiture plus fraîche améliore le rendement des panneaux.\n104\t- **Toit blanc éblouissant ?** Légère gêne les premiers mois si vue plongeante, puis le revêtement se patine — plus de gêne ensuite.\n105\t- **Cool roof ou refaire l'étanchéité ?** Complémentaires : si l'étanchéité a 10-25 ans, le cool roof la protège et prolonge sa durée de vie d'environ 10 ans ; si elle est en fin de vie et fuit partout, il faut la remplacer.\n106\t- **Différence avec une peinture classique ?** Résine **polyuréthane** (8-10 ans, voire 20 ans avec Top Coat) vs **acrylique** (2-5 ans, perte rapide de réflectivité). Covalba = techniciens de la toiture, pas peintres.\n107\t- **Peut-on l'appliquer soi-même ?** Déconseillé : une pose mal réalisée peut faire chuter la réflectivité de 30 à 50 % ; sécurité en toiture (EPI). Covalba ne travaille qu'avec des applicateurs certifiés.\n108\t- **Entretien ?** Visite annuelle + rinçage à l'eau ; finition autonettoyante, anti-mousses.\n109\t- **Substances dangereuses / eaux de pluie ?** Conforme REACH ; analyse en laboratoire accrédité = absence de polluants (dont PFAS) dans les eaux de ruissellement.\n110\t- **Compatibilité toitures ?** Quasiment toutes : bac acier (même rouillé), béton, membrane bitumineuse, EPDM, PVC, fibrociment, lanterneaux.\n111\t\n112\t## 10. Références clients (par secteur)\n113\t\n114\tCovalba peut citer des chantiers réalisés. **Ne donner des résultats chiffrés QUE pour les cas ci-dessous** (mesurés) ; pour les autres, citer le client comme référence **sans inventer de chiffre**.\n115\t\n116\tRésultats mesurés (cas phares) :\n117\t- **Albright France** (tertiaire, La Rochelle) : entrepôt **-13 °C**, bureaux **-5 °C**, facture électrique d'été **÷2**.\n118\t- **Roche Bobois** (showroom, Versailles) : étages de 43 °C → **-13 °C**, objectif zéro climatisation tenu.\n119\t- **Pa.Sa.Ge International** (logistique froid, Perpignan) : quais **15 °C → 8 °C**.\n120\t- **Intermarché** (Illiers-Combray) : réserve **-5 °C**, magasin **-3 °C**, poste froid **-4,5 %** (mesuré).\n121\t- **Cotral Lab** (siège non climatisé, Condé-en-Normandie) : bureaux **-4 °C**.\n122\t\n123\tIndex par secteur (clients référencés, sans chiffres sauf ci-dessus) :\n124\t- **Industrie / pharma / agro / aéro** : Danone, Servier, Laboratoire Chiesi, GE Vernova, Somfy, SNCF, Continental, LSDH, Normaero (aéronautique), Franciaflex, Panibois.\n125\t- **Distribution** : Intermarché, Cora, E.Leclerc, Carrefour Market, Colruyt, Super U, Netto.\n126\t- **Logistique** : Pa.Sa.Ge International, Stocklor.\n127\t- **Tertiaire** : Albright France, Roche Bobois, Cotral Lab, Banque Edmond de Rothschild, Newrest, EBI.\n128\t- **ERP** : McDonald's, station E.Leclerc.\n129\t- **Collectivités** : RATP, Restos du cœur.\n130\t\n131\t## 11. Outils du site (rediriger, ne pas calculer)\n132\t\n133\t- **Estimation** (`/estimation`) : le visiteur saisit surface, type de bâtiment (climatisé ou non), secteur → fourchette indicative (18-25 €/m²) + primes CEE si éligible, réponse sous 24h.\n134\t- **Simulateur d'économies / ROI** (`/simulateur-economie-energie`) : pré-qualification (surface, coût de climatisation, consigne…). *(Outil de calcul en cours de finalisation.)*\n135\t- **Diagnostic / devis gratuit** (`/diagnostic`) : un expert analyse le bâtiment et propose une solution sous 24h.\n136\t\n137\t## 12. Devenir applicateur — `/devenir-applicateur`\n138\t\n139\t1er réseau d'applicateurs cool roof en France. Cible : entreprises d'**étanchéité, isolation ou peinture industrielle**, créées depuis **+ de 2 ans**, clientèle B2B.\n140\t- Apports : revêtements, **matériel** (pompes Airless sur-mesure, vendues/entretenues par Covalba), **formation technique de 2 jours**, assistance chantier, espace partenaire (commande en ligne, livraison sur chantier), notoriété de marque.\n141\t- Parcours : candidature → formation 2 jours → matériel → chantiers. Implantations : France, DROM-COM, Europe, Afrique, Moyen-Orient.\n142\t\n143\t---\n144\t\n145\t### Notes pour l'assistant\n146\t- Ne jamais inventer un chiffre, prix, délai, garantie ou référence absent de ce document. Ne pas calculer de total (m² × €) ni de montant de prime → rediriger vers la page concernée.\n147\t- Si une question porte sur une donnée non couverte ici (délai de chantier précis, disponibilité d'un créneau, montant exact d'une prime, situation très spécifique…) : ne pas bluffer → journaliser (`log_unanswered`) et orienter vers le formulaire de contact.\n148\t- Coordonnées directes (téléphone/email) : par défaut, orienter vers la page Contact ; ne donner le **+33 2 38 77 57 08** / **contact@covalba.fr** **que si le visiteur les demande explicitement**.\n149\t"}]},"uuid":"31569cea-ad18-492f-9870-47c8c7202174","timestamp":"2026-06-23T12:09:44.289Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md","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)\n\n- **Activité perturbée ?** Non : tout se passe sur le toit, depuis l'extérieur, pas de bruit ni poussière. 2 à 5 jours.\n- **Hiver, plus de chauffage ?** Non dans la grande majorité des cas : en hiver le soleil est bas et rare, il chauffe surtout les façades. La perte est minime et largement compensée par les gains d'été.\n- **Panneaux solaires ?** Compatible et bénéfique : une toiture plus fraîche améliore le rendement des panneaux.\n- **Toit blanc éblouissant ?** Légère gêne les premiers mois si vue plongeante, puis le revêtement se patine — plus de gêne ensuite.\n- **Cool roof ou refaire l'étanchéité ?** Complémentaires : si l'étanchéité a 10-25 ans, le cool roof la protège et prolonge sa durée de vie d'environ 10 ans ; si elle est en fin de vie et fuit partout, il faut la remplacer.\n- **Différence avec une peinture classique ?** Résine **polyuréthane** (8-10 ans, voire 20 ans avec Top Coat) vs **acrylique** (2-5 ans, perte rapide de réflectivité). Covalba = techniciens de la toiture, pas peintres.\n- **Peut-on l'appliquer soi-même ?** Déconseillé : une pose mal réalisée peut faire chuter la réflectivité de 30 à 50 % ; sécurité en toiture (EPI). Covalba ne travaille qu'avec des applicateurs certifiés.\n- **Entretien ?** Visite annuelle + rinçage à l'eau ; finition autonettoyante, anti-mousses.\n- **Substances dangereuses / eaux de pluie ?** Conforme REACH ; analyse en laboratoire accrédité = absence de polluants (dont PFAS) dans les eaux de ruissellement.\n- **Compatibilité toitures ?** Quasiment toutes : bac acier (même rouillé), béton, membrane bitumineuse, EPDM, PVC, fibrociment, lanterneaux.\n\n## 10. Références clients (par secteur)\n\nCovalba peut citer des chantiers réalisés. **Ne donner des résultats chiffrés QUE pour les cas ci-dessous** (mesurés) ; pour les autres, citer le client comme référence **sans inventer de chiffre**.\n\nRésultats mesurés (cas phares) :\n- **Albright France** (tertiaire, La Rochelle) : entrepôt **-13 °C**, bureaux **-5 °C**, facture électrique d'été **÷2**.\n- **Roche Bobois** (showroom, Versailles) : étages de 43 °C → **-13 °C**, objectif zéro climatisation tenu.\n- **Pa.Sa.Ge International** (logistique froid, Perpignan) : quais **15 °C → 8 °C**.\n- **Intermarché** (Illiers-Combray) : réserve **-5 °C**, magasin **-3 °C**, poste froid **-4,5 %** (mesuré).\n- **Cotral Lab** (siège non climatisé, Condé-en-Normandie) : bureaux **-4 °C**.\n\nIndex par secteur (clients référencés, sans chiffres sauf ci-dessus) :\n- **Industrie / pharma / agro / aéro** : Danone, Servier, Laboratoire Chiesi, GE Vernova, Somfy, SNCF, Continental, LSDH, Normaero (aéronautique), Franciaflex, Panibois.\n- **Distribution** : Intermarché, Cora, E.Leclerc, Carrefour Market, Colruyt, Super U, Netto.\n- **Logistique** : Pa.Sa.Ge International, Stocklor.\n- **Tertiaire** : Albright France, Roche Bobois, Cotral Lab, Banque Edmond de Rothschild, Newrest, EBI.\n- **ERP** : McDonald's, station E.Leclerc.\n- **Collectivités** : RATP, Restos du cœur.\n\n## 11. Outils du site (rediriger, ne pas calculer)\n\n- **Estimation** (`/estimation`) : le visiteur saisit surface, type de bâtiment (climatisé ou non), secteur → fourchette indicative (18-25 €/m²) + primes CEE si éligible, réponse sous 24h.\n- **Simulateur d'économies / ROI** (`/simulateur-economie-energie`) : pré-qualification (surface, coût de climatisation, consigne…). *(Outil de calcul en cours de finalisation.)*\n- **Diagnostic / devis gratuit** (`/diagnostic`) : un expert analyse le bâtiment et propose une solution sous 24h.\n\n## 12. Devenir applicateur — `/devenir-applicateur`\n\n1er réseau d'applicateurs cool roof en France. Cible : entreprises d'**étanchéité, isolation ou peinture industrielle**, créées depuis **+ de 2 ans**, clientèle B2B.\n- Apports : revêtements, **matériel** (pompes Airless sur-mesure, vendues/entretenues par Covalba), **formation technique de 2 jours**, assistance chantier, espace partenaire (commande en ligne, livraison sur chantier), notoriété de marque.\n- Parcours : candidature → formation 2 jours → matériel → chantiers. Implantations : France, DROM-COM, Europe, Afrique, Moyen-Orient.\n\n---\n\n### Notes pour l'assistant\n- Ne jamais inventer un chiffre, prix, délai, garantie ou référence absent de ce document. Ne pas calculer de total (m² × €) ni de montant de prime → rediriger vers la page concernée.\n- Si une question porte sur une donnée non couverte ici (délai de chantier précis, disponibilité d'un créneau, montant exact d'une prime, situation très spécifique…) : ne pas bluffer → journaliser (`log_unanswered`) et orienter vers le formulaire de contact.\n- Coordonnées directes (téléphone/email) : par défaut, orienter vers la page Contact ; ne donner le **+33 2 38 77 57 08** / **contact@covalba.fr** **que si le visiteur les demande explicitement**.\n","numLines":149,"startLine":1,"totalLines":149}},"sourceToolAssistantUUID":"8500bfac-c0d2-4f56-a22b-e99b0dee4f78","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":"31569cea-ad18-492f-9870-47c8c7202174","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CA1375UyjkwjgMizKg2QsR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CafoQdWYS1oWa9iZd82rRX","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/docs/presentation-assistant-covalba.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2377,"cache_read_input_tokens":23659,"cache_creation":{"ephemeral_5m_input_tokens":2377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAdfz7qKaLuYPdYZ4fD","attributionAgent":"Explore","type":"assistant","uuid":"1733c200-42f0-4cee-8d61-d9e7839d8e9d","timestamp":"2026-06-23T12:09:44.638Z","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":"1733c200-42f0-4cee-8d61-d9e7839d8e9d","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CafoQdWYS1oWa9iZd82rRX","type":"tool_result","content":"1\t# Assistant conversationnel du site Covalba\n2\t\n3\t*Fonctionnalités du chat et scénarios d'usage*\n4\t\n5\t---\n6\t\n7\t## Le principe\n8\t\n9\tUn assistant virtuel intégré au site, disponible en continu, qui **répond aux questions des\n10\tinternautes à partir des contenus Covalba** et qui, à chaque échange, cherche **la bonne page du\n11\tsite vers laquelle orienter le visiteur**. L'assistant est avant tout un **aiguilleur** : il\n12\tinforme brièvement, puis fait **naviguer** l'internaute vers la page la plus utile (fiche produit,\n13\testimation, prime CEE, secteur, contact…).\n14\t\n15\t---\n16\t\n17\t## Fonctionnalités du chat\n18\t\n19\t- **Bulle discrète « Une question ? »** en bas à droite, sur toutes les pages, ouverte d'un clic\n20\t  (plein écran sur mobile), aux couleurs de Covalba.\n21\t- **Réponses en français**, ton d'expert de la toiture, clair et factuel.\n22\t- **Orientation vers la bonne page (cœur de l'outil)** : l'assistant propose **quasi\n23\t  systématiquement** un lien vers la page pertinente du site pour approfondir et avancer\n24\t  (fiches produits CovaTherm / CovaSeal / CovaMetal, pages par type de toiture, pages par secteur,\n25\t  estimation, prime CEE, références, devenir applicateur…). Le but : **maintenir l'internaute en\n26\t  navigation** plutôt que de le laisser dans une impasse.\n27\t- **Suggestions de questions cliquables** : après chaque réponse, 2-3 relances proposées en\n28\t  boutons (« Quel prix au m² ? », « Je veux un devis », « Vous traitez le bac acier ? ») pour\n29\t  guider la conversation sans effort de saisie.\n30\t- **Réponses fiables et cadrées** : l'assistant répond **uniquement** depuis la base de\n31\t  connaissance Covalba. Il **n'invente jamais** un prix, un chiffre ou une garantie ; il **ne\n32\t  calcule pas** les devis ni les primes (il renvoie vers les pages/outils dédiés).\n33\t- **Redirection des demandes** : pour un devis, un rappel ou un contact, l'assistant **oriente\n34\t  vers les formulaires existants du site** (il ne collecte pas de coordonnées dans le chat).\n35\t- **Reconnaissance des limites** : si l'information n'est pas disponible, l'assistant le dit\n36\t  honnêtement et oriente vers la page Contact, sans bluffer.\n37\t- **Conversation conservée** d'une page à l'autre pendant la visite.\n38\t- **Rapport mensuel automatique par email** : statistiques d'utilisation + liste des questions\n39\t  restées sans réponse, pour enrichir la base de connaissance en continu (voir section dédiée).\n40\t\n41\t---\n42\t\n43\t## Suivi mensuel et amélioration continue\n44\t\n45\tL'assistant ne reste pas figé : il **apprend des questions réellement posées** par les internautes.\n46\t\n47\t- **Rapport mensuel envoyé automatiquement par email** à Covalba, comprenant les **statistiques\n48\t  d'utilisation** : nombre de conversations, thèmes et questions les plus fréquents, pages les plus\n49\t  souvent proposées, taux de questions traitées.\n50\t- **Synthèse des questions sans réponse** : chaque question à laquelle l'assistant n'a pas pu\n51\t  répondre est **journalisée automatiquement** (de façon anonyme) et reprise dans le rapport.\n52\t- Ces questions réelles servent à **compléter la base de connaissance au fil de l'eau** : on ajoute\n53\t  les réponses manquantes en fonction de ce que les visiteurs demandent vraiment. **Cercle\n54\t  vertueux** : plus l'assistant est utilisé, plus il devient complet et pertinent.\n55\t\n56\t---\n57\t\n58\t## Scénarios d'usage\n59\t\n60\tDans chaque scénario, l'assistant informe **et** propose une page pour faire avancer la visite.\n61\t\n62\t### Scénario 1 — Question de prix\n63\t> **Internaute :** « C'est combien le cool roof au m² ? »\n64\t> **Assistant :** Donne la fourchette indicative (ex. 20-25 €/m² pour la gamme premium), précise\n65\t> que le tarif dépend de la toiture et de la surface, **puis propose la page Estimation** pour un\n66\t> chiffrage personnalisé.\n67\t> → **Page proposée : Estimation**\n68\t\n69\t### Scénario 2 — Produit / type de toiture\n70\t> **Internaute :** « Vous traitez les toitures en bac acier ? »\n71\t> **Assistant :** Confirme, explique brièvement la solution (traitement anti-corrosion + réflectif\n72\t> en une passe), **et propose la page dédiée bac acier** ainsi que la fiche produit CovaMetal 20.\n73\t> → **Pages proposées : Toiture bac acier · CovaMetal 20**\n74\t\n75\t### Scénario 3 — Demande de devis\n76\t> **Internaute :** « Je voudrais un devis pour un entrepôt de 5 000 m². »\n77\t> **Assistant :** Indique que la demande va être transmise à l'équipe et **oriente vers le\n78\t> formulaire d'estimation / de devis**, sans demander de coordonnées dans le chat.\n79\t> → **Page proposée : Estimation / Devis**\n80\t\n81\t### Scénario 4 — Prime CEE\n82\t> **Internaute :** « J'ai droit à une aide pour ma toiture ? »\n83\t> **Assistant :** Explique en deux phrases la prime CEE (fiche BAT-EN-112) et son éligibilité\n84\t> restreinte, **renvoie vers la page Prime CEE** (sans calculer le montant lui-même).\n85\t> → **Page proposée : Prime CEE (BAT-EN-112)**\n86\t\n87\t### Scénario 5 — Référence sectorielle\n88\t> **Internaute :** « Vous avez déjà travaillé dans l'agroalimentaire ? »\n89\t> **Assistant :** Cite des références du secteur, **et propose la page Références** pour voir les\n90\t> chantiers en détail.\n91\t> → **Page proposée : Références**\n92\t\n93\t### Scénario 6 — Besoin d'être recontacté\n94\t> **Internaute :** « J'aimerais qu'un commercial me rappelle. »\n95\t> **Assistant :** **Oriente vers le formulaire de contact** ; il communique le téléphone ou\n96\t> l'email **uniquement si l'internaute les demande explicitement**.\n97\t> → **Page proposée : Contact**\n98\t\n99\t### Scénario 7 — Devenir applicateur\n100\t> **Internaute :** « Comment devenir applicateur agréé ? »\n101\t> **Assistant :** Résume le principe du réseau (entreprises du bâtiment, formation, matériel) **et\n102\t> propose la page Devenir applicateur**.\n103\t> → **Page proposée : Devenir applicateur**\n104\t\n105\t### Scénario 8 — Objection « toit blanc l'hiver »\n106\t> **Internaute :** « En hiver, je vais consommer plus de chauffage, non ? »\n107\t> **Assistant :** Répond factuellement (soleil bas en hiver, perte minime largement compensée par\n108\t> l'été), **et propose le Guide / la FAQ** pour approfondir.\n109\t> → **Pages proposées : Guide Cool Roof · FAQ**\n110\t\n111\t### Scénario 9 — Hors cible (particulier)\n112\t> **Internaute :** « C'est pour ma maison individuelle. »\n113\t> **Assistant :** Indique poliment que les solutions s'adressent aux bâtiments professionnels de\n114\t> grande toiture, sans engager de démarche.\n115\t> → *(Pas de redirection : l'assistant ne crée pas de demande hors cible.)*\n116\t\n117\t### Scénario 10 — Information non disponible\n118\t> **Internaute :** « Quel est le délai de séchage exact à 12 °C ? »\n119\t> **Assistant :** Reconnaît honnêtement que l'information précise n'est pas disponible **et oriente\n120\t> vers le formulaire de contact** pour une réponse de l'équipe.\n121\t> → **Page proposée : Contact**\n122\t\n123\t---\n124\t\n125\t## Ce que l'assistant ne fait pas\n126\t\n127\t- Il **ne calcule pas** les devis ni le montant des primes (il renvoie vers les outils du site).\n128\t- Il **n'invente pas** de prix, de chiffre, de garantie ou de référence.\n129\t- Il **ne collecte pas** de coordonnées dans la conversation (redirection vers les formulaires).\n130\t- Il **ne nomme pas** de concurrent (comparaison par technologie uniquement).\n131\t\n132\t---\n133\t\n134\t*Document de présentation — fonctionnalités du chat et scénarios.*\n135\t"}]},"uuid":"e021e5b4-afc3-4c75-9563-39beaac8b825","timestamp":"2026-06-23T12:09:44.688Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/docs/presentation-assistant-covalba.md","content":"# Assistant conversationnel du site Covalba\n\n*Fonctionnalités du chat et scénarios d'usage*\n\n---\n\n## Le principe\n\nUn assistant virtuel intégré au site, disponible en continu, qui **répond aux questions des\ninternautes à partir des contenus Covalba** et qui, à chaque échange, cherche **la bonne page du\nsite vers laquelle orienter le visiteur**. L'assistant est avant tout un **aiguilleur** : il\ninforme brièvement, puis fait **naviguer** l'internaute vers la page la plus utile (fiche produit,\nestimation, prime CEE, secteur, contact…).\n\n---\n\n## Fonctionnalités du chat\n\n- **Bulle discrète « Une question ? »** en bas à droite, sur toutes les pages, ouverte d'un clic\n  (plein écran sur mobile), aux couleurs de Covalba.\n- **Réponses en français**, ton d'expert de la toiture, clair et factuel.\n- **Orientation vers la bonne page (cœur de l'outil)** : l'assistant propose **quasi\n  systématiquement** un lien vers la page pertinente du site pour approfondir et avancer\n  (fiches produits CovaTherm / CovaSeal / CovaMetal, pages par type de toiture, pages par secteur,\n  estimation, prime CEE, références, devenir applicateur…). Le but : **maintenir l'internaute en\n  navigation** plutôt que de le laisser dans une impasse.\n- **Suggestions de questions cliquables** : après chaque réponse, 2-3 relances proposées en\n  boutons (« Quel prix au m² ? », « Je veux un devis », « Vous traitez le bac acier ? ») pour\n  guider la conversation sans effort de saisie.\n- **Réponses fiables et cadrées** : l'assistant répond **uniquement** depuis la base de\n  connaissance Covalba. Il **n'invente jamais** un prix, un chiffre ou une garantie ; il **ne\n  calcule pas** les devis ni les primes (il renvoie vers les pages/outils dédiés).\n- **Redirection des demandes** : pour un devis, un rappel ou un contact, l'assistant **oriente\n  vers les formulaires existants du site** (il ne collecte pas de coordonnées dans le chat).\n- **Reconnaissance des limites** : si l'information n'est pas disponible, l'assistant le dit\n  honnêtement et oriente vers la page Contact, sans bluffer.\n- **Conversation conservée** d'une page à l'autre pendant la visite.\n- **Rapport mensuel automatique par email** : statistiques d'utilisation + liste des questions\n  restées sans réponse, pour enrichir la base de connaissance en continu (voir section dédiée).\n\n---\n\n## Suivi mensuel et amélioration continue\n\nL'assistant ne reste pas figé : il **apprend des questions réellement posées** par les internautes.\n\n- **Rapport mensuel envoyé automatiquement par email** à Covalba, comprenant les **statistiques\n  d'utilisation** : nombre de conversations, thèmes et questions les plus fréquents, pages les plus\n  souvent proposées, taux de questions traitées.\n- **Synthèse des questions sans réponse** : chaque question à laquelle l'assistant n'a pas pu\n  répondre est **journalisée automatiquement** (de façon anonyme) et reprise dans le rapport.\n- Ces questions réelles servent à **compléter la base de connaissance au fil de l'eau** : on ajoute\n  les réponses manquantes en fonction de ce que les visiteurs demandent vraiment. **Cercle\n  vertueux** : plus l'assistant est utilisé, plus il devient complet et pertinent.\n\n---\n\n## Scénarios d'usage\n\nDans chaque scénario, l'assistant informe **et** propose une page pour faire avancer la visite.\n\n### Scénario 1 — Question de prix\n> **Internaute :** « C'est combien le cool roof au m² ? »\n> **Assistant :** Donne la fourchette indicative (ex. 20-25 €/m² pour la gamme premium), précise\n> que le tarif dépend de la toiture et de la surface, **puis propose la page Estimation** pour un\n> chiffrage personnalisé.\n> → **Page proposée : Estimation**\n\n### Scénario 2 — Produit / type de toiture\n> **Internaute :** « Vous traitez les toitures en bac acier ? »\n> **Assistant :** Confirme, explique brièvement la solution (traitement anti-corrosion + réflectif\n> en une passe), **et propose la page dédiée bac acier** ainsi que la fiche produit CovaMetal 20.\n> → **Pages proposées : Toiture bac acier · CovaMetal 20**\n\n### Scénario 3 — Demande de devis\n> **Internaute :** « Je voudrais un devis pour un entrepôt de 5 000 m². »\n> **Assistant :** Indique que la demande va être transmise à l'équipe et **oriente vers le\n> formulaire d'estimation / de devis**, sans demander de coordonnées dans le chat.\n> → **Page proposée : Estimation / Devis**\n\n### Scénario 4 — Prime CEE\n> **Internaute :** « J'ai droit à une aide pour ma toiture ? »\n> **Assistant :** Explique en deux phrases la prime CEE (fiche BAT-EN-112) et son éligibilité\n> restreinte, **renvoie vers la page Prime CEE** (sans calculer le montant lui-même).\n> → **Page proposée : Prime CEE (BAT-EN-112)**\n\n### Scénario 5 — Référence sectorielle\n> **Internaute :** « Vous avez déjà travaillé dans l'agroalimentaire ? »\n> **Assistant :** Cite des références du secteur, **et propose la page Références** pour voir les\n> chantiers en détail.\n> → **Page proposée : Références**\n\n### Scénario 6 — Besoin d'être recontacté\n> **Internaute :** « J'aimerais qu'un commercial me rappelle. »\n> **Assistant :** **Oriente vers le formulaire de contact** ; il communique le téléphone ou\n> l'email **uniquement si l'internaute les demande explicitement**.\n> → **Page proposée : Contact**\n\n### Scénario 7 — Devenir applicateur\n> **Internaute :** « Comment devenir applicateur agréé ? »\n> **Assistant :** Résume le principe du réseau (entreprises du bâtiment, formation, matériel) **et\n> propose la page Devenir applicateur**.\n> → **Page proposée : Devenir applicateur**\n\n### Scénario 8 — Objection « toit blanc l'hiver »\n> **Internaute :** « En hiver, je vais consommer plus de chauffage, non ? »\n> **Assistant :** Répond factuellement (soleil bas en hiver, perte minime largement compensée par\n> l'été), **et propose le Guide / la FAQ** pour approfondir.\n> → **Pages proposées : Guide Cool Roof · FAQ**\n\n### Scénario 9 — Hors cible (particulier)\n> **Internaute :** « C'est pour ma maison individuelle. »\n> **Assistant :** Indique poliment que les solutions s'adressent aux bâtiments professionnels de\n> grande toiture, sans engager de démarche.\n> → *(Pas de redirection : l'assistant ne crée pas de demande hors cible.)*\n\n### Scénario 10 — Information non disponible\n> **Internaute :** « Quel est le délai de séchage exact à 12 °C ? »\n> **Assistant :** Reconnaît honnêtement que l'information précise n'est pas disponible **et oriente\n> vers le formulaire de contact** pour une réponse de l'équipe.\n> → **Page proposée : Contact**\n\n---\n\n## Ce que l'assistant ne fait pas\n\n- Il **ne calcule pas** les devis ni le montant des primes (il renvoie vers les outils du site).\n- Il **n'invente pas** de prix, de chiffre, de garantie ou de référence.\n- Il **ne collecte pas** de coordonnées dans la conversation (redirection vers les formulaires).\n- Il **ne nomme pas** de concurrent (comparaison par technologie uniquement).\n\n---\n\n*Document de présentation — fonctionnalités du chat et scénarios.*\n","numLines":135,"startLine":1,"totalLines":135}},"sourceToolAssistantUUID":"1733c200-42f0-4cee-8d61-d9e7839d8e9d","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":"e021e5b4-afc3-4c75-9563-39beaac8b825","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GuYKQfzTUcanchiCB6K1JT","type":"message","role":"assistant","content":[{"type":"text","text":"Excellent. Now let me find the system prompt and the 28 routes list."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":8221,"cache_read_input_tokens":26036,"cache_creation":{"ephemeral_5m_input_tokens":8221,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAe9AzZf7aDhPNjQpe7","attributionAgent":"Explore","type":"assistant","uuid":"c5330a7d-677c-4935-9765-d5b9e0da230a","timestamp":"2026-06-23T12:09:46.446Z","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":"c5330a7d-677c-4935-9765-d5b9e0da230a","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GuYKQfzTUcanchiCB6K1JT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GMvBhtru7kqRZ4rAyuH2kN","name":"Bash","input":{"command":"find /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing -type f \\( -name \"*system*\" -o -name \"*prompt*\" -o -name \"*.ts\" -o -name \"*.tsx\" \\) | grep -E \"(route|api|lib|prompt)\" | head -30"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":8221,"cache_read_input_tokens":26036,"cache_creation":{"ephemeral_5m_input_tokens":8221,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAe9AzZf7aDhPNjQpe7","attributionAgent":"Explore","type":"assistant","uuid":"29557db6-61ce-46bc-85d0-0b9dad28b7d7","timestamp":"2026-06-23T12:09:47.514Z","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":"29557db6-61ce-46bc-85d0-0b9dad28b7d7","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GMvBhtru7kqRZ4rAyuH2kN","type":"tool_result","content":"/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/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/node_modules/undici-types/api.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/router.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/tslib/tslib.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/detect-libc/index.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/source-map-js/lib/source-node.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/source-map-js/lib/source-map-consumer.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/source-map-js/lib/source-map-generator.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/drizzle-kit/api.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/esbuild/lib/main.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-task-list-item/lib/index.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-is/lib/index.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-mdx-expression/lib/index.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/drizzle-orm/libsql/driver.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/drizzle-orm/libsql/driver-core.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/drizzle-orm/libsql/index.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/drizzle-orm/libsql/session.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/drizzle-orm/libsql/migrator.d.ts","is_error":false}]},"uuid":"7c82441e-c453-4323-bb4f-36dac99fe3a4","timestamp":"2026-06-23T12:09:47.647Z","toolUseResult":{"stdout":"/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/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/node_modules/undici-types/api.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/router.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/tslib/tslib.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/detect-libc/index.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/source-map-js/lib/source-node.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/source-map-js/lib/source-map-consumer.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/source-map-js/lib/source-map-generator.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/drizzle-kit/api.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/esbuild/lib/main.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-task-list-item/lib/index.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-is/lib/index.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-mdx-expression/lib/index.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/drizzle-orm/libsql/driver.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/drizzle-orm/libsql/driver-core.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/drizzle-orm/libsql/index.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/drizzle-orm/libsql/session.d.ts\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/drizzle-orm/libsql/migrator.d.ts","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"29557db6-61ce-46bc-85d0-0b9dad28b7d7","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":"7c82441e-c453-4323-bb4f-36dac99fe3a4","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GuYKQfzTUcanchiCB6K1JT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KSprrH7iknGzZ2vQRULzfV","name":"Bash","input":{"command":"find /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing -type d -name \"routes\" -o -name \"api\" -o -name \"prompts\" -o -name \"lib\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":8221,"cache_read_input_tokens":26036,"output_tokens":236,"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":8221},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":236,"cache_read_input_tokens":26036,"cache_creation_input_tokens":8221,"cache_creation":{"ephemeral_5m_input_tokens":8221,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAe9AzZf7aDhPNjQpe7","attributionAgent":"Explore","type":"assistant","uuid":"93f3b6a9-915c-477b-80b7-1230c300abcc","timestamp":"2026-06-23T12:09:47.792Z","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":"93f3b6a9-915c-477b-80b7-1230c300abcc","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KSprrH7iknGzZ2vQRULzfV","type":"tool_result","content":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-footnote/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-visit/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/trough/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-mdx-expression/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-util-symbol/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/source-map-js/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/esbuild/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-task-list-item/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-is/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unified/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-to-hast/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-autolink-literal/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-util-subtokenize/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/react-markdown/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/estree-util-is-identifier-name/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/devlop/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-table/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-mdx-jsx/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/vfile-message/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-phrasing/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/remark-rehype/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/json-schema/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/html-url-attributes/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-autolink-literal/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/remark-stringify/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-visit-parents/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/parse-entities/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/hast-util-whitespace/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-mdxjs-esm/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/remark-gfm/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/remark-parse/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-footnote/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-to-markdown/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/typescript/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-core-commonmark/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-task-list-item/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@opentelemetry/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/stringify-entities/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-strikethrough/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/styled-jsx/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/detect-libc/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-position/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-to-string/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-strikethrough/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-from-markdown/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-find-and-replace/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/property-information/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-table/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/postcss/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-stringify-position/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/vfile/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/sharp/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@img/sharp-libvips-linux-x64/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@img/sharp-linux-x64/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@stablelib/base64/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-autolink-literal/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-util-subtokenize/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/caniuse-lite/dist/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-footnote/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-tagfilter/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/source-map/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/hast-util-to-jsx-runtime/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/svix/src/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/svix/dist/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-core-commonmark/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-task-list-item/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-strikethrough/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-from-markdown/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/server/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/shared/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/client/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/export/routes\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-table/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/tsx/dist/esm/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/tsx/dist/cjs/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/tsx/node_modules/esbuild/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/compiled/@opentelemetry/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/server/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/shared/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/client/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/export/routes\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@esbuild-kit/core-utils/node_modules/esbuild/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@opentelemetry/api/build/src/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@opentelemetry/api/build/esm/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@opentelemetry/api/build/esnext/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/shared/lib/router/routes\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/shared/lib/router/routes\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/build/webpack/loaders/resolve-url-loader/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/build/webpack/loaders/resolve-url-loader/lib","is_error":false}]},"uuid":"b160a4c2-31e2-42bf-95d1-0cbd066dc6ba","timestamp":"2026-06-23T12:09:47.884Z","toolUseResult":{"stdout":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-footnote/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-visit/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/trough/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-mdx-expression/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-util-symbol/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/source-map-js/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/esbuild/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-task-list-item/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-is/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unified/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-to-hast/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-autolink-literal/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-util-subtokenize/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/react-markdown/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/estree-util-is-identifier-name/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/devlop/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-table/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-mdx-jsx/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/vfile-message/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-phrasing/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/remark-rehype/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/json-schema/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/html-url-attributes/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-autolink-literal/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/remark-stringify/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-visit-parents/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/parse-entities/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/hast-util-whitespace/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-mdxjs-esm/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/remark-gfm/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/remark-parse/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-footnote/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-to-markdown/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/typescript/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-core-commonmark/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-task-list-item/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@opentelemetry/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/stringify-entities/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-strikethrough/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/styled-jsx/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/detect-libc/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-position/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-to-string/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-strikethrough/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-from-markdown/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-find-and-replace/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/property-information/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-gfm-table/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/postcss/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/unist-util-stringify-position/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/vfile/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/sharp/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@img/sharp-libvips-linux-x64/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@img/sharp-linux-x64/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@stablelib/base64/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-autolink-literal/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-util-subtokenize/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/caniuse-lite/dist/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-footnote/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-tagfilter/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/source-map/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/hast-util-to-jsx-runtime/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/svix/src/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/svix/dist/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-core-commonmark/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-task-list-item/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-strikethrough/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/mdast-util-from-markdown/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/server/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/shared/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/client/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/export/routes\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/micromark-extension-gfm-table/dev/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/tsx/dist/esm/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/tsx/dist/cjs/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/tsx/node_modules/esbuild/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/compiled/@opentelemetry/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/server/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/shared/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/client/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/export/routes\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@esbuild-kit/core-utils/node_modules/esbuild/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@opentelemetry/api/build/src/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@opentelemetry/api/build/esm/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/@opentelemetry/api/build/esnext/api\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/shared/lib/router/routes\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/shared/lib/router/routes\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/build/webpack/loaders/resolve-url-loader/lib\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/node_modules/next/dist/esm/build/webpack/loaders/resolve-url-loader/lib","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"93f3b6a9-915c-477b-80b7-1230c300abcc","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":"b160a4c2-31e2-42bf-95d1-0cbd066dc6ba","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011qD2n2AWLtsAYBcp8H6MrF","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect. Now let me read the key files:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":5202,"cache_read_input_tokens":34257,"cache_creation":{"ephemeral_5m_input_tokens":5202,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAeMp16azB1YPs97fHV","attributionAgent":"Explore","type":"assistant","uuid":"2cee1d6a-29fa-4995-a74e-0c2112eebb2d","timestamp":"2026-06-23T12:09:49.433Z","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":"2cee1d6a-29fa-4995-a74e-0c2112eebb2d","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011qD2n2AWLtsAYBcp8H6MrF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018nAENZvY36V2GHpKjDCnaN","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/system-prompt.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":5202,"cache_read_input_tokens":34257,"cache_creation":{"ephemeral_5m_input_tokens":5202,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAeMp16azB1YPs97fHV","attributionAgent":"Explore","type":"assistant","uuid":"eaa3e678-d128-483e-9120-6e91dd28c44e","timestamp":"2026-06-23T12:09:49.716Z","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":"eaa3e678-d128-483e-9120-6e91dd28c44e","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018nAENZvY36V2GHpKjDCnaN","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":"7a5f845a-16ab-464f-9619-ed8144adff08","timestamp":"2026-06-23T12:09:49.751Z","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":"eaa3e678-d128-483e-9120-6e91dd28c44e","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":"7a5f845a-16ab-464f-9619-ed8144adff08","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011qD2n2AWLtsAYBcp8H6MrF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LridAvWx7VviVWZhuAy7rA","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":5202,"cache_read_input_tokens":34257,"cache_creation":{"ephemeral_5m_input_tokens":5202,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAeMp16azB1YPs97fHV","attributionAgent":"Explore","type":"assistant","uuid":"c67c6666-32ce-489b-82f8-7e2876b2196e","timestamp":"2026-06-23T12:09:49.882Z","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":"c67c6666-32ce-489b-82f8-7e2876b2196e","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LridAvWx7VviVWZhuAy7rA","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":"898651b9-18da-408a-be29-d81aab3c243e","timestamp":"2026-06-23T12:09:49.905Z","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":"c67c6666-32ce-489b-82f8-7e2876b2196e","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":"898651b9-18da-408a-be29-d81aab3c243e","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011qD2n2AWLtsAYBcp8H6MrF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NpZeGb7CUMywEgMfKutKC5","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/suggest-page.ts"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":5202,"cache_read_input_tokens":34257,"output_tokens":228,"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":5202},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":228,"cache_read_input_tokens":34257,"cache_creation_input_tokens":5202,"cache_creation":{"ephemeral_5m_input_tokens":5202,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAeMp16azB1YPs97fHV","attributionAgent":"Explore","type":"assistant","uuid":"9e810120-2eee-41ac-aa0b-286ff73d7bcb","timestamp":"2026-06-23T12:09:50.189Z","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":"9e810120-2eee-41ac-aa0b-286ff73d7bcb","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NpZeGb7CUMywEgMfKutKC5","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":"21d483b1-fe79-4390-85b4-66aa0651faf1","timestamp":"2026-06-23T12:09:50.221Z","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":"9e810120-2eee-41ac-aa0b-286ff73d7bcb","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":"21d483b1-fe79-4390-85b4-66aa0651faf1","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_016juj2tnKkdnMZZFVTtmtd9","type":"message","role":"assistant","content":[{"type":"text","text":"Excellent. Now let me check for tests and existing eval scripts:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3972,"cache_read_input_tokens":39459,"cache_creation":{"ephemeral_5m_input_tokens":3972,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAeY2R4wXvPd3xzV75E","attributionAgent":"Explore","type":"assistant","uuid":"1fce9d86-018e-464e-8876-42acf902ff0b","timestamp":"2026-06-23T12:09:59.200Z","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":"1fce9d86-018e-464e-8876-42acf902ff0b","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_016juj2tnKkdnMZZFVTtmtd9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016q3HQiyH99Lyv4en31Rh4i","name":"Bash","input":{"command":"find /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing -type f \\( -name \"*.test.ts\" -o -name \"*.test.tsx\" -o -name \"test*\" -o -name \"*spec.ts\" \\) | grep -v node_modules | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3972,"cache_read_input_tokens":39459,"cache_creation":{"ephemeral_5m_input_tokens":3972,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAeY2R4wXvPd3xzV75E","attributionAgent":"Explore","type":"assistant","uuid":"382197e1-ebe2-4b68-b392-79dd21974b7e","timestamp":"2026-06-23T12:10:00.294Z","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":"382197e1-ebe2-4b68-b392-79dd21974b7e","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016q3HQiyH99Lyv4en31Rh4i","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"dd52e1ac-06cf-483a-8eaf-3f2ebef3c4c5","timestamp":"2026-06-23T12:10:00.561Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"382197e1-ebe2-4b68-b392-79dd21974b7e","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":"dd52e1ac-06cf-483a-8eaf-3f2ebef3c4c5","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_016juj2tnKkdnMZZFVTtmtd9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013Mq6kb4Dv6e8awGDJ4SUzC","name":"Bash","input":{"command":"grep -r \"describe\\|test\\|it(\" /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing --include=\"*.ts\" --include=\"*.tsx\" | grep -v node_modules | head -10"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3972,"cache_read_input_tokens":39459,"cache_creation":{"ephemeral_5m_input_tokens":3972,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAeY2R4wXvPd3xzV75E","attributionAgent":"Explore","type":"assistant","uuid":"3ab725e8-cfd3-44e7-9990-d1bb445aa5a2","timestamp":"2026-06-23T12:10:01.165Z","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":"3ab725e8-cfd3-44e7-9990-d1bb445aa5a2","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_016juj2tnKkdnMZZFVTtmtd9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DGX6M45sq7YoADwJKewuVo","name":"Bash","input":{"command":"cat /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/package.json | grep -A 10 \"scripts\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3972,"cache_read_input_tokens":39459,"output_tokens":307,"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":3972},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":307,"cache_read_input_tokens":39459,"cache_creation_input_tokens":3972,"cache_creation":{"ephemeral_5m_input_tokens":3972,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAeY2R4wXvPd3xzV75E","attributionAgent":"Explore","type":"assistant","uuid":"601f9a55-1982-4bd1-ad13-080fa092a0be","timestamp":"2026-06-23T12:10:01.674Z","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":"3ab725e8-cfd3-44e7-9990-d1bb445aa5a2","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013Mq6kb4Dv6e8awGDJ4SUzC","type":"tool_result","content":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(10);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(size)\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(1);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(10);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(60);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(120);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(limit);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/suggest-followups.ts:      .describe(\"2 à 3 relances/options courtes, point de vue utilisateur.\"),\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/email.ts:  const to = (process.env.REPORT_TO ?? \"\").split(\",\").map((s) => s.trim()).filter(Boolean);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/report.ts:    .limit(10);","is_error":false}]},"uuid":"e1047496-ee4d-45ea-a084-519ae8cac4b8","timestamp":"2026-06-23T12:10:04.051Z","toolUseResult":{"stdout":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(10);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(size)\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(1);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(10);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(60);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(120);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/admin-queries.ts:    .limit(limit);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/suggest-followups.ts:      .describe(\"2 à 3 relances/options courtes, point de vue utilisateur.\"),\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/email.ts:  const to = (process.env.REPORT_TO ?? \"\").split(\",\").map((s) => s.trim()).filter(Boolean);\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/report.ts:    .limit(10);","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"3ab725e8-cfd3-44e7-9990-d1bb445aa5a2","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":"601f9a55-1982-4bd1-ad13-080fa092a0be","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DGX6M45sq7YoADwJKewuVo","type":"tool_result","content":"  \"scripts\": {\n    \"dev\": \"next dev -p ${PORT:-3079} -H ${HOST:-0.0.0.0}\",\n    \"build\": \"next build\",\n    \"start\": \"next start -p ${PORT:-3079} -H ${HOST:-0.0.0.0}\",\n    \"lint\": \"next lint\"\n  },\n  \"dependencies\": {\n    \"@ai-sdk/anthropic\": \"3.0.70\",\n    \"@ai-sdk/react\": \"^3.0.161\",\n    \"@neondatabase/serverless\": \"^1.1.0\",\n    \"@upstash/ratelimit\": \"^2.0.8\",","is_error":false}]},"uuid":"a81b5487-2903-4c3e-979a-5f34fa98a6b3","timestamp":"2026-06-23T12:10:04.466Z","toolUseResult":{"stdout":"  \"scripts\": {\n    \"dev\": \"next dev -p ${PORT:-3079} -H ${HOST:-0.0.0.0}\",\n    \"build\": \"next build\",\n    \"start\": \"next start -p ${PORT:-3079} -H ${HOST:-0.0.0.0}\",\n    \"lint\": \"next lint\"\n  },\n  \"dependencies\": {\n    \"@ai-sdk/anthropic\": \"3.0.70\",\n    \"@ai-sdk/react\": \"^3.0.161\",\n    \"@neondatabase/serverless\": \"^1.1.0\",\n    \"@upstash/ratelimit\": \"^2.0.8\",","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"601f9a55-1982-4bd1-ad13-080fa092a0be","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":"a81b5487-2903-4c3e-979a-5f34fa98a6b3","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01KVjQKAALXKhNTmVQT1ErYD","type":"message","role":"assistant","content":[{"type":"text","text":"Good. Let me check for any eval or test-related directories:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":992,"cache_read_input_tokens":43431,"cache_creation":{"ephemeral_5m_input_tokens":992,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAfcTqg5r2fWJwvVHUk","attributionAgent":"Explore","type":"assistant","uuid":"d5d6fc70-90bd-49fa-afd8-880b673cd1b5","timestamp":"2026-06-23T12:10:07.057Z","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":"d5d6fc70-90bd-49fa-afd8-880b673cd1b5","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01KVjQKAALXKhNTmVQT1ErYD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01K8wVJuUW6LJ1yp6Zgppub8","name":"Bash","input":{"command":"find /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing -type d \\( -name \"test\" -o -name \"tests\" -o -name \"eval\" -o -name \"__tests__\" \\) | grep -v node_modules"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":992,"cache_read_input_tokens":43431,"cache_creation":{"ephemeral_5m_input_tokens":992,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAfcTqg5r2fWJwvVHUk","attributionAgent":"Explore","type":"assistant","uuid":"ab772502-85e8-4d9a-9fff-94f498462a16","timestamp":"2026-06-23T12:10:07.532Z","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":"ab772502-85e8-4d9a-9fff-94f498462a16","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01K8wVJuUW6LJ1yp6Zgppub8","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"22114041-f3fe-4711-9ca8-cb9a2faa565f","timestamp":"2026-06-23T12:10:07.661Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"returnCodeInterpretation":"No matches found","noOutputExpected":false},"sourceToolAssistantUUID":"ab772502-85e8-4d9a-9fff-94f498462a16","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":"22114041-f3fe-4711-9ca8-cb9a2faa565f","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01KVjQKAALXKhNTmVQT1ErYD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012GTTgJde1cTMFBwTb4YHnW","name":"Bash","input":{"command":"ls -la /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/ | head -40"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":992,"cache_read_input_tokens":43431,"cache_creation":{"ephemeral_5m_input_tokens":992,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAfcTqg5r2fWJwvVHUk","attributionAgent":"Explore","type":"assistant","uuid":"4076d7db-9aa0-4162-b99a-23b9c5f4695a","timestamp":"2026-06-23T12:10:07.680Z","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":"4076d7db-9aa0-4162-b99a-23b9c5f4695a","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012GTTgJde1cTMFBwTb4YHnW","type":"tool_result","content":"total 252\ndrwxr-xr-x   9 dev dev   4096 Jun 23 12:05 .\ndrwxr-xr-x   3 dev dev   4096 Jun 23 12:05 ..\n-rw-r--r--   1 dev dev   3203 Jun 23 12:05 .env.example\n-rw-------   1 dev dev    451 Jun 23 12:05 .env.local\n-rw-r--r--   1 dev dev     74 Jun 23 12:05 .git\n-rw-r--r--   1 dev dev    139 Jun 23 12:05 .gitignore\n-rw-r--r--   1 dev dev   6072 Jun 23 12:05 CLAUDE.md\n-rw-r--r--   1 dev dev   6761 Jun 23 12:05 HANDOFF.md\n-rw-r--r--   1 dev dev   7621 Jun 23 12:05 README.md\ndrwxr-xr-x   5 dev dev   4096 Jun 23 12:05 app\ndrwxr-xr-x   2 dev dev   4096 Jun 23 12:05 docs\ndrwxr-xr-x   2 dev dev   4096 Jun 23 12:05 downloads\ndrwxr-xr-x   3 dev dev   4096 Jun 23 12:05 drizzle\n-rw-r--r--   1 dev dev    296 Jun 23 12:05 drizzle.config.ts\n-rw-r--r--   1 dev dev  14288 Jun 23 12:05 knowledge.md\ndrwxr-xr-x   4 dev dev   4096 Jun 23 12:05 lib\n-rw-r--r--   1 dev dev   2288 Jun 23 12:05 next.config.ts\ndrwxr-xr-x 150 dev dev   4096 Jun 23 12:05 node_modules\n-rw-r--r--   1 dev dev 137764 Jun 23 12:05 package-lock.json\n-rw-r--r--   1 dev dev    998 Jun 23 12:05 package.json\n-rw-r--r--   1 dev dev    972 Jun 23 12:05 proxy.ts\ndrwxr-xr-x   2 dev dev   4096 Jun 23 12:05 public\n-rw-r--r--   1 dev dev    698 Jun 23 12:05 tsconfig.json\n-rw-r--r--   1 dev dev    143 Jun 23 12:05 vercel.json","is_error":false}]},"uuid":"99160533-ae14-40e4-8ce7-464e8b6a2dc8","timestamp":"2026-06-23T12:10:07.767Z","toolUseResult":{"stdout":"total 252\ndrwxr-xr-x   9 dev dev   4096 Jun 23 12:05 .\ndrwxr-xr-x   3 dev dev   4096 Jun 23 12:05 ..\n-rw-r--r--   1 dev dev   3203 Jun 23 12:05 .env.example\n-rw-------   1 dev dev    451 Jun 23 12:05 .env.local\n-rw-r--r--   1 dev dev     74 Jun 23 12:05 .git\n-rw-r--r--   1 dev dev    139 Jun 23 12:05 .gitignore\n-rw-r--r--   1 dev dev   6072 Jun 23 12:05 CLAUDE.md\n-rw-r--r--   1 dev dev   6761 Jun 23 12:05 HANDOFF.md\n-rw-r--r--   1 dev dev   7621 Jun 23 12:05 README.md\ndrwxr-xr-x   5 dev dev   4096 Jun 23 12:05 app\ndrwxr-xr-x   2 dev dev   4096 Jun 23 12:05 docs\ndrwxr-xr-x   2 dev dev   4096 Jun 23 12:05 downloads\ndrwxr-xr-x   3 dev dev   4096 Jun 23 12:05 drizzle\n-rw-r--r--   1 dev dev    296 Jun 23 12:05 drizzle.config.ts\n-rw-r--r--   1 dev dev  14288 Jun 23 12:05 knowledge.md\ndrwxr-xr-x   4 dev dev   4096 Jun 23 12:05 lib\n-rw-r--r--   1 dev dev   2288 Jun 23 12:05 next.config.ts\ndrwxr-xr-x 150 dev dev   4096 Jun 23 12:05 node_modules\n-rw-r--r--   1 dev dev 137764 Jun 23 12:05 package-lock.json\n-rw-r--r--   1 dev dev    998 Jun 23 12:05 package.json\n-rw-r--r--   1 dev dev    972 Jun 23 12:05 proxy.ts\ndrwxr-xr-x   2 dev dev   4096 Jun 23 12:05 public\n-rw-r--r--   1 dev dev    698 Jun 23 12:05 tsconfig.json\n-rw-r--r--   1 dev dev    143 Jun 23 12:05 vercel.json","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"4076d7db-9aa0-4162-b99a-23b9c5f4695a","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":"99160533-ae14-40e4-8ce7-464e8b6a2dc8","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01KVjQKAALXKhNTmVQT1ErYD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EPWPAUEpBkhVBEN3A3YpEz","name":"Bash","input":{"command":"find /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing -maxdepth 3 -type f -name \"*.json\" | grep -v node_modules | head -20"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":992,"cache_read_input_tokens":43431,"output_tokens":282,"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":992},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":282,"cache_read_input_tokens":43431,"cache_creation_input_tokens":992,"cache_creation":{"ephemeral_5m_input_tokens":992,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAfcTqg5r2fWJwvVHUk","attributionAgent":"Explore","type":"assistant","uuid":"de7d3784-d43e-45a4-a4c1-1b4ea7d913fb","timestamp":"2026-06-23T12:10:08.008Z","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":"de7d3784-d43e-45a4-a4c1-1b4ea7d913fb","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EPWPAUEpBkhVBEN3A3YpEz","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/package-lock.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/tsconfig.json\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","is_error":false}]},"uuid":"4978d773-5f29-46e3-8d9b-873586b283fe","timestamp":"2026-06-23T12:10:08.088Z","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/package-lock.json\n/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/tsconfig.json\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","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"de7d3784-d43e-45a4-a4c1-1b4ea7d913fb","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":"4978d773-5f29-46e3-8d9b-873586b283fe","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VjBaL1gYJhzQZDeKv2fupB","type":"message","role":"assistant","content":[{"type":"text","text":"Let me also check the other tools and the chat route to understand the full picture:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":1255,"cache_read_input_tokens":44423,"cache_creation":{"ephemeral_5m_input_tokens":1255,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAfr8sN6Lg8Ee6gK1N5","attributionAgent":"Explore","type":"assistant","uuid":"915a6d3d-3403-4eef-842b-3c3513e0dce7","timestamp":"2026-06-23T12:10:10.508Z","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":"915a6d3d-3403-4eef-842b-3c3513e0dce7","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VjBaL1gYJhzQZDeKv2fupB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UnzQsabUFkVXW1TzWV2MBn","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/log-unanswered.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":1255,"cache_read_input_tokens":44423,"cache_creation":{"ephemeral_5m_input_tokens":1255,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAfr8sN6Lg8Ee6gK1N5","attributionAgent":"Explore","type":"assistant","uuid":"e3c5223e-0e13-496d-8349-2dd6cfd70db9","timestamp":"2026-06-23T12:10:10.646Z","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":"e3c5223e-0e13-496d-8349-2dd6cfd70db9","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UnzQsabUFkVXW1TzWV2MBn","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":"1f6b4ff4-b47f-4392-850b-1e5017ec7fef","timestamp":"2026-06-23T12:10:10.681Z","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":"e3c5223e-0e13-496d-8349-2dd6cfd70db9","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":"1f6b4ff4-b47f-4392-850b-1e5017ec7fef","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VjBaL1gYJhzQZDeKv2fupB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011KYWyXVC4wxV37C4U99y85","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/suggest-followups.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":1255,"cache_read_input_tokens":44423,"cache_creation":{"ephemeral_5m_input_tokens":1255,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAfr8sN6Lg8Ee6gK1N5","attributionAgent":"Explore","type":"assistant","uuid":"54225caf-05f2-4e69-bc10-678ec3c5cacc","timestamp":"2026-06-23T12:10:10.717Z","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":"54225caf-05f2-4e69-bc10-678ec3c5cacc","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011KYWyXVC4wxV37C4U99y85","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":"698e9d3d-e5e1-42a4-90cd-22c47b408480","timestamp":"2026-06-23T12:10:10.735Z","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":"54225caf-05f2-4e69-bc10-678ec3c5cacc","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":"698e9d3d-e5e1-42a4-90cd-22c47b408480","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VjBaL1gYJhzQZDeKv2fupB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AqQ4UC7Vwb3YF3piZNswgm","name":"Bash","input":{"command":"find /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app -name \"*chat*\" -o -name \"*message*\" | head -10"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":1255,"cache_read_input_tokens":44423,"output_tokens":253,"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":1255},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":253,"cache_read_input_tokens":44423,"cache_creation_input_tokens":1255,"cache_creation":{"ephemeral_5m_input_tokens":1255,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAfr8sN6Lg8Ee6gK1N5","attributionAgent":"Explore","type":"assistant","uuid":"af827369-6bf4-45d1-accf-0be81addd05e","timestamp":"2026-06-23T12:10:10.835Z","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":"af827369-6bf4-45d1-accf-0be81addd05e","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AqQ4UC7Vwb3YF3piZNswgm","type":"tool_result","content":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat","is_error":false}]},"uuid":"f45aa1a6-94b1-47dc-8879-36e49f63cafd","timestamp":"2026-06-23T12:10:10.895Z","toolUseResult":{"stdout":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"af827369-6bf4-45d1-accf-0be81addd05e","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":"f45aa1a6-94b1-47dc-8879-36e49f63cafd","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BJCak1g8GQ7ZYVireJvZUM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DWSd4YUqZYzucJmGaBYydY","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":1220,"cache_read_input_tokens":45678,"output_tokens":81,"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":1220},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":81,"cache_read_input_tokens":45678,"cache_creation_input_tokens":1220,"cache_creation":{"ephemeral_5m_input_tokens":1220,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAg4Gco8QTyKBj3R9Xw","attributionAgent":"Explore","type":"assistant","uuid":"7e52ff6c-c297-4605-b731-7de33dd736c6","timestamp":"2026-06-23T12:10:13.840Z","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":"7e52ff6c-c297-4605-b731-7de33dd736c6","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"EISDIR: illegal operation on a directory, read '/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat'","is_error":true,"tool_use_id":"toolu_01DWSd4YUqZYzucJmGaBYydY"}]},"uuid":"9e6400a1-0d24-4a75-8e2f-f8e6f8779da6","timestamp":"2026-06-23T12:10:13.868Z","toolUseResult":"Error: EISDIR: illegal operation on a directory, read '/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat'","sourceToolAssistantUUID":"7e52ff6c-c297-4605-b731-7de33dd736c6","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":"9e6400a1-0d24-4a75-8e2f-f8e6f8779da6","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_016UY9UQi1WaksnVjVBJq3Jn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0124Ak8S5mxWnpW7cTt3QVqd","name":"Bash","input":{"command":"ls -la /opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat/"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":142,"cache_read_input_tokens":46898,"output_tokens":152,"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":142},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":152,"cache_read_input_tokens":46898,"cache_creation_input_tokens":142,"cache_creation":{"ephemeral_5m_input_tokens":142,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAgHBkW1NJA9JBo9vCw","attributionAgent":"Explore","type":"assistant","uuid":"6872add6-9853-4943-97d6-7303a6d09342","timestamp":"2026-06-23T12:10:15.403Z","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":"6872add6-9853-4943-97d6-7303a6d09342","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_016UY9UQi1WaksnVjVBJq3Jn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CbrFPPeLZ5o6BBHZW29Fm4","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/app/api/chat/route.ts"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":142,"cache_read_input_tokens":46898,"output_tokens":152,"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":142},"inference_geo":"not_available","iterations":[{"input_tokens":6,"output_tokens":152,"cache_read_input_tokens":46898,"cache_creation_input_tokens":142,"cache_creation":{"ephemeral_5m_input_tokens":142,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAgHBkW1NJA9JBo9vCw","attributionAgent":"Explore","type":"assistant","uuid":"3069cf03-d810-4cf0-a31d-86b3c5ab9672","timestamp":"2026-06-23T12:10:15.511Z","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":"3069cf03-d810-4cf0-a31d-86b3c5ab9672","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CbrFPPeLZ5o6BBHZW29Fm4","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":"d432973f-5608-46d2-a464-2ab6d5af9881","timestamp":"2026-06-23T12:10:15.532Z","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":"3069cf03-d810-4cf0-a31d-86b3c5ab9672","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":"6872add6-9853-4943-97d6-7303a6d09342","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0124Ak8S5mxWnpW7cTt3QVqd","type":"tool_result","content":"total 12\ndrwxr-xr-x 2 dev dev 4096 Jun 23 12:05 .\ndrwxr-xr-x 5 dev dev 4096 Jun 23 12:05 ..\n-rw-r--r-- 1 dev dev 3269 Jun 23 12:05 route.ts","is_error":false}]},"uuid":"fea01c27-47f6-4245-bef0-ae2f5e80a4f7","timestamp":"2026-06-23T12:10:15.551Z","toolUseResult":{"stdout":"total 12\ndrwxr-xr-x 2 dev dev 4096 Jun 23 12:05 .\ndrwxr-xr-x 5 dev dev 4096 Jun 23 12:05 ..\n-rw-r--r-- 1 dev dev 3269 Jun 23 12:05 route.ts","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"6872add6-9853-4943-97d6-7303a6d09342","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":"fea01c27-47f6-4245-bef0-ae2f5e80a4f7","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01NPdmeKsTsVySVqYxMsNibn","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect. Now let me check the HANDOFF to see if there's any context about ongoing work:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1305,"cache_creation_input_tokens":277,"cache_read_input_tokens":47040,"cache_creation":{"ephemeral_5m_input_tokens":277,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAgQSKJti2pZh69hP4L","attributionAgent":"Explore","type":"assistant","uuid":"3b26077d-d3b0-4264-af2d-fd61c6056071","timestamp":"2026-06-23T12:10:31.092Z","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":"3b26077d-d3b0-4264-af2d-fd61c6056071","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01NPdmeKsTsVySVqYxMsNibn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SpVSr2zffHSn5WNSiQiXA2","name":"Read","input":{"file_path":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/HANDOFF.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1305,"cache_creation_input_tokens":277,"cache_read_input_tokens":47040,"cache_creation":{"ephemeral_5m_input_tokens":277,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAgQSKJti2pZh69hP4L","attributionAgent":"Explore","type":"assistant","uuid":"ed1ff98b-037e-4524-bcd3-45d8dd77eb86","timestamp":"2026-06-23T12:10:31.552Z","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":"ed1ff98b-037e-4524-bcd3-45d8dd77eb86","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SpVSr2zffHSn5WNSiQiXA2","type":"tool_result","content":"1\t# HANDOFF — Covalba Chatbot\n2\t\n3\t> Passation pour le prochain agent (humain ou IA). Lire ce fichier + `README.md` avant de coder.\n4\t> Dernière mise à jour : 2026-06-09 (itération 3 : persistance + back office + rapport mensuel).\n5\t\n6\t## 1. Contexte\n7\t\n8\tPOC d'assistant conversationnel pour le site **covalba.fr** (Cool Roof B2B). App Next.js 16\n9\tautonome, embarquable via un `<script>`, déployable comme projet Vercel indépendant. Extrait du\n10\tworktree `covalba-refonte` (branche `tom/test-chatbot`) vers **ce repo indépendant**.\n11\t\n12\tObjectif : POC à valider en interne, puis à présenter/vendre au client. Le doc **client** (sans\n13\tdétails techniques, fonctionnalités + scénarios) est dans `docs/presentation-assistant-covalba.md`.\n14\t\n15\t## 2. État actuel — FAIT et vérifié en local\n16\t\n17\t- Chat fonctionnel via **AI Gateway** (Sonnet 4.6), réponses groundées sur `knowledge.md`.\n18\t- 3 tools : `suggest_page` (28 routes réelles du site), `log_unanswered`, `suggest_followups`.\n19\t- Widget `public/widget.js` (bulle « Une question ? » + iframe), `/embed` (UI), `/demo.html`.\n20\t- UI : rendu **markdown** des réponses, **chips** de relance + de démarrage, **persistance 24h**\n21\t  (localStorage) + bouton « Nouvelle conversation », liens en `target=\"_top\"`.\n22\t- Garde-fous : rate-limit IP, `maxOutputTokens` 800, conversation cappée (24 derniers messages).\n23\t- `knowledge.md` **reconstruit depuis le contenu réel du site** (pages `src/pages/`, `src/data/`\n24\t  du repo refonte) : specs produits, prix, FAQ, barème CEE, références par secteur, etc.\n25\t\n26\tScénarios vérifiés : prix→Estimation, devis→Estimation (sans capture), bac acier→page toiture,\n27\tprime CEE→/bat-en-112, références agro→Danone/LSDH/Panibois, hors-cible→décline, question\n28\thors-base→log_unanswered+Contact, coordonnées→sur demande explicite seulement.\n29\t\n30\t### Itération 3 (persistance + back office + rapport mensuel) — FAIT\n31\t- **Persistance Postgres/Neon + Drizzle** : `lib/db/schema.ts` (conversations, messages, events, report_runs),\n32\t  `lib/db.ts` (no-op si pas de `DATABASE_URL`), migration `drizzle/0000_*.sql` générée. Écriture via\n33\t  `onFinish` du chat (`lib/persist.ts` : upsert conv, messages masqués PII, events dérivés des tools, IP hashée).\n34\t- **Back office** `/admin` (Basic Auth via `proxy.ts`) : dashboard KPIs, conversations (liste + fil),\n35\t  questions sans réponse + export CSV. `lib/admin-queries.ts`.\n36\t- **Rapport mensuel** : `vercel.json` (cron `0 6 1 * *`) → `app/api/cron/monthly-report` (auth `CRON_SECRET`,\n37\t  idempotent via `report_runs`) → `lib/report.ts` + `lib/email.ts` (Resend) → purge rétention. Destinataire `REPORT_TO`.\n38\t- **Vérifié en réel contre une base Neon** (provisionnée via `vercel integration add neon`, tables migrées\n39\t  avec `drizzle-kit migrate`) : une conversation est persistée (1 conv / 2 messages), **PII masquée**\n40\t  (`test@example.com`→`[email]`, tél→`[tel]`), events enregistrés ; `/admin` affiche les KPIs + la liste +\n41\t  le fil ; Basic Auth 401→200 ; `/embed`/`/widget.js`/`/api/chat` publics ; cron `{sent,emailed:false}` puis\n42\t  `{alreadySent}` (**idempotent**), email skippé proprement faute de `RESEND_API_KEY`. No-op confirmé sans DB.\n43\t- **Base Neon** : ressource `neon-aureolin-anchor`, connectée au projet `covalba-chatbot` (env `DATABASE_URL`\n44\t  injecté en `development`). Pour preview/production : connecter aussi ces environnements + relancer la migration.\n45\t\n46\t## 3. Décisions produit (arbitrées avec Tom — NE PAS revenir dessus sans raison)\n47\t\n48\t- **Pas de RAG** : connaissance figée dans `knowledge.md` (maintenue à la main, pas de synchro auto).\n49\t- **Pas de capture de lead in-chat** : redirection systématique vers les formulaires du site\n50\t  (« selon le contexte » : prix/devis→estimation, contact/rappel/SAV→contact). HubSpot **abandonné**.\n51\t- **Hors-cible** (particulier/résidentiel) → décliner poliment, pas de lead.\n52\t- **Coordonnées** (☎ +33 2 38 77 57 08, contact@covalba.fr) données **seulement si demandées explicitement**.\n53\t- **Zone** : France entière + DOM-TOM. **Ton** : expert sobre. **Concurrents** : jamais nommés (techno only).\n54\t- **Lacunes de connaissance** → escalade (pas de pré-rédaction inventée).\n55\t- **Modèle** : Sonnet 4.6 par défaut (configurable `CHAT_MODEL`).\n56\t\n57\t## 4. Pièges / gotchas\n58\t\n59\t- `@ai-sdk/anthropic@3.0.81` est **cassé** (pin un `@ai-sdk/provider@3.0.10` non publié) → **épinglé `3.0.70`**. Ne pas bumper sans vérifier.\n60\t- `convertToModelMessages` est **async** en AI SDK v6 (l'`await`).\n61\t- **AI Gateway exige une carte bancaire** sur le compte Vercel (même Pro) — vérif anti-fraude distincte du hosting.\n62\t- **Token OIDC** (`vercel env pull`) est court (~12h) ; re-pull si le chat renvoie une erreur d'auth en local.\n63\t- Domaine réel = **covalba.fr** (pas .com).\n64\t- **Le site se contredit** : valeurs canoniques retenues dans `knowledge.md` (société 2011 / marque 2018 ;\n65\t  réflectance 94% ; expertise 14 ans ; CovaTherm Light 5-8 ans). À aligner côté site si possible.\n66\t- `globalConfig.ts`, pages SEO villes mock (`{{VILLE}}`), projections climatiques et le simulateur\n67\t  ROI (« en préparation ») ont été **exclus** de `knowledge.md` (placeholders/non finalisés).\n68\t\n69\t## 5. Prochains sujets (TODO)\n70\t\n71\t1. **Env de prod à définir sur Vercel** (la base est faite) : `ADMIN_USER`/`ADMIN_PASSWORD` (back office),\n72\t   `CRON_SECRET`, `RESEND_API_KEY` + `REPORT_TO` (=assous.tom@gmail.com) + `REPORT_FROM`, `IP_HASH_SALT`.\n73\t   Connecter `DATABASE_URL` aussi en preview/production (actuellement `development`) puis migrer.\n74\t2. **Vérifier l'envoi email réel** : aujourd'hui non testé (pas de `RESEND_API_KEY`) → le cron renvoie\n75\t   `emailed:false`. Avec une clé Resend + domaine vérifié (`covalba.fr`, sinon `onboarding@resend.dev`), tester un envoi.\n76\t3. **Valider/compléter `knowledge.md`** avec le client (contenu de référence définitif).\n77\t4. **Confirmer le slug** de la politique de confidentialité (`NEXT_PUBLIC_PRIVACY_URL`).\n78\t5. **Cloudflare Turnstile** en entrée du widget avant prod chez le client.\n79\t6. **Budget mensuel capé + alerting** côté gateway.\n80\t7. **Déploiement prod** : projet Vercel (compte client à terme), env vars, `FRAME_ANCESTORS` avec le domaine WordPress, OIDC auto, cron auto depuis `vercel.json`.\n81\t8. Persistance Safari cross-domain = best-effort (storage tiers partitionné) — à documenter au client.\n82\t\n83\t## 6. Lancer / tester\n84\t\n85\tVoir `README.md`. En bref : `npm install` → `vercel link` + `vercel env pull .env.local` →\n86\t`npm run dev` → ouvrir `/demo.html` (widget) ou `/embed` (chat). Sans accès gateway : mettre\n87\t`ANTHROPIC_API_KEY` dans `.env.local` (bascule auto sur le provider direct).\n88\t\n89\t## 7. Secrets\n90\t\n91\tAucun secret commité (`.env*.local` et `.vercel` sont gitignored). `.env.example` documente les vars.\n92\t"}]},"uuid":"4b69830e-811c-4ddb-9ce6-be22ed3c7563","timestamp":"2026-06-23T12:10:31.586Z","toolUseResult":{"type":"text","file":{"filePath":"/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/HANDOFF.md","content":"# HANDOFF — Covalba Chatbot\n\n> Passation pour le prochain agent (humain ou IA). Lire ce fichier + `README.md` avant de coder.\n> Dernière mise à jour : 2026-06-09 (itération 3 : persistance + back office + rapport mensuel).\n\n## 1. Contexte\n\nPOC d'assistant conversationnel pour le site **covalba.fr** (Cool Roof B2B). App Next.js 16\nautonome, embarquable via un `<script>`, déployable comme projet Vercel indépendant. Extrait du\nworktree `covalba-refonte` (branche `tom/test-chatbot`) vers **ce repo indépendant**.\n\nObjectif : POC à valider en interne, puis à présenter/vendre au client. Le doc **client** (sans\ndétails techniques, fonctionnalités + scénarios) est dans `docs/presentation-assistant-covalba.md`.\n\n## 2. État actuel — FAIT et vérifié en local\n\n- Chat fonctionnel via **AI Gateway** (Sonnet 4.6), réponses groundées sur `knowledge.md`.\n- 3 tools : `suggest_page` (28 routes réelles du site), `log_unanswered`, `suggest_followups`.\n- Widget `public/widget.js` (bulle « Une question ? » + iframe), `/embed` (UI), `/demo.html`.\n- UI : rendu **markdown** des réponses, **chips** de relance + de démarrage, **persistance 24h**\n  (localStorage) + bouton « Nouvelle conversation », liens en `target=\"_top\"`.\n- Garde-fous : rate-limit IP, `maxOutputTokens` 800, conversation cappée (24 derniers messages).\n- `knowledge.md` **reconstruit depuis le contenu réel du site** (pages `src/pages/`, `src/data/`\n  du repo refonte) : specs produits, prix, FAQ, barème CEE, références par secteur, etc.\n\nScénarios vérifiés : prix→Estimation, devis→Estimation (sans capture), bac acier→page toiture,\nprime CEE→/bat-en-112, références agro→Danone/LSDH/Panibois, hors-cible→décline, question\nhors-base→log_unanswered+Contact, coordonnées→sur demande explicite seulement.\n\n### Itération 3 (persistance + back office + rapport mensuel) — FAIT\n- **Persistance Postgres/Neon + Drizzle** : `lib/db/schema.ts` (conversations, messages, events, report_runs),\n  `lib/db.ts` (no-op si pas de `DATABASE_URL`), migration `drizzle/0000_*.sql` générée. Écriture via\n  `onFinish` du chat (`lib/persist.ts` : upsert conv, messages masqués PII, events dérivés des tools, IP hashée).\n- **Back office** `/admin` (Basic Auth via `proxy.ts`) : dashboard KPIs, conversations (liste + fil),\n  questions sans réponse + export CSV. `lib/admin-queries.ts`.\n- **Rapport mensuel** : `vercel.json` (cron `0 6 1 * *`) → `app/api/cron/monthly-report` (auth `CRON_SECRET`,\n  idempotent via `report_runs`) → `lib/report.ts` + `lib/email.ts` (Resend) → purge rétention. Destinataire `REPORT_TO`.\n- **Vérifié en réel contre une base Neon** (provisionnée via `vercel integration add neon`, tables migrées\n  avec `drizzle-kit migrate`) : une conversation est persistée (1 conv / 2 messages), **PII masquée**\n  (`test@example.com`→`[email]`, tél→`[tel]`), events enregistrés ; `/admin` affiche les KPIs + la liste +\n  le fil ; Basic Auth 401→200 ; `/embed`/`/widget.js`/`/api/chat` publics ; cron `{sent,emailed:false}` puis\n  `{alreadySent}` (**idempotent**), email skippé proprement faute de `RESEND_API_KEY`. No-op confirmé sans DB.\n- **Base Neon** : ressource `neon-aureolin-anchor`, connectée au projet `covalba-chatbot` (env `DATABASE_URL`\n  injecté en `development`). Pour preview/production : connecter aussi ces environnements + relancer la migration.\n\n## 3. Décisions produit (arbitrées avec Tom — NE PAS revenir dessus sans raison)\n\n- **Pas de RAG** : connaissance figée dans `knowledge.md` (maintenue à la main, pas de synchro auto).\n- **Pas de capture de lead in-chat** : redirection systématique vers les formulaires du site\n  (« selon le contexte » : prix/devis→estimation, contact/rappel/SAV→contact). HubSpot **abandonné**.\n- **Hors-cible** (particulier/résidentiel) → décliner poliment, pas de lead.\n- **Coordonnées** (☎ +33 2 38 77 57 08, contact@covalba.fr) données **seulement si demandées explicitement**.\n- **Zone** : France entière + DOM-TOM. **Ton** : expert sobre. **Concurrents** : jamais nommés (techno only).\n- **Lacunes de connaissance** → escalade (pas de pré-rédaction inventée).\n- **Modèle** : Sonnet 4.6 par défaut (configurable `CHAT_MODEL`).\n\n## 4. Pièges / gotchas\n\n- `@ai-sdk/anthropic@3.0.81` est **cassé** (pin un `@ai-sdk/provider@3.0.10` non publié) → **épinglé `3.0.70`**. Ne pas bumper sans vérifier.\n- `convertToModelMessages` est **async** en AI SDK v6 (l'`await`).\n- **AI Gateway exige une carte bancaire** sur le compte Vercel (même Pro) — vérif anti-fraude distincte du hosting.\n- **Token OIDC** (`vercel env pull`) est court (~12h) ; re-pull si le chat renvoie une erreur d'auth en local.\n- Domaine réel = **covalba.fr** (pas .com).\n- **Le site se contredit** : valeurs canoniques retenues dans `knowledge.md` (société 2011 / marque 2018 ;\n  réflectance 94% ; expertise 14 ans ; CovaTherm Light 5-8 ans). À aligner côté site si possible.\n- `globalConfig.ts`, pages SEO villes mock (`{{VILLE}}`), projections climatiques et le simulateur\n  ROI (« en préparation ») ont été **exclus** de `knowledge.md` (placeholders/non finalisés).\n\n## 5. Prochains sujets (TODO)\n\n1. **Env de prod à définir sur Vercel** (la base est faite) : `ADMIN_USER`/`ADMIN_PASSWORD` (back office),\n   `CRON_SECRET`, `RESEND_API_KEY` + `REPORT_TO` (=assous.tom@gmail.com) + `REPORT_FROM`, `IP_HASH_SALT`.\n   Connecter `DATABASE_URL` aussi en preview/production (actuellement `development`) puis migrer.\n2. **Vérifier l'envoi email réel** : aujourd'hui non testé (pas de `RESEND_API_KEY`) → le cron renvoie\n   `emailed:false`. Avec une clé Resend + domaine vérifié (`covalba.fr`, sinon `onboarding@resend.dev`), tester un envoi.\n3. **Valider/compléter `knowledge.md`** avec le client (contenu de référence définitif).\n4. **Confirmer le slug** de la politique de confidentialité (`NEXT_PUBLIC_PRIVACY_URL`).\n5. **Cloudflare Turnstile** en entrée du widget avant prod chez le client.\n6. **Budget mensuel capé + alerting** côté gateway.\n7. **Déploiement prod** : projet Vercel (compte client à terme), env vars, `FRAME_ANCESTORS` avec le domaine WordPress, OIDC auto, cron auto depuis `vercel.json`.\n8. Persistance Safari cross-domain = best-effort (storage tiers partitionné) — à documenter au client.\n\n## 6. Lancer / tester\n\nVoir `README.md`. En bref : `npm install` → `vercel link` + `vercel env pull .env.local` →\n`npm run dev` → ouvrir `/demo.html` (widget) ou `/embed` (chat). Sans accès gateway : mettre\n`ANTHROPIC_API_KEY` dans `.env.local` (bascule auto sur le provider direct).\n\n## 7. Secrets\n\nAucun secret commité (`.env*.local` et `.vercel` sont gitignored). `.env.example` documente les vars.\n","numLines":92,"startLine":1,"totalLines":92}},"sourceToolAssistantUUID":"ed1ff98b-037e-4524-bcd3-45d8dd77eb86","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":"4b69830e-811c-4ddb-9ce6-be22ed3c7563","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FqaaXbMEQyt9vZoi9TCDiS","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect! Now let me get the exact count of routes and create a comprehensive summary:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":3967,"cache_read_input_tokens":47317,"cache_creation":{"ephemeral_5m_input_tokens":3967,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAhbY62xe2jENdfDinh","attributionAgent":"Explore","type":"assistant","uuid":"0cfb4542-1576-436d-82b6-ba6c7aaa0550","timestamp":"2026-06-23T12:10:33.799Z","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":"0cfb4542-1576-436d-82b6-ba6c7aaa0550","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FqaaXbMEQyt9vZoi9TCDiS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016cyJHGPqvH3on9FQu2C65t","name":"Bash","input":{"command":"grep -c \"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":5,"cache_creation_input_tokens":3967,"cache_read_input_tokens":47317,"cache_creation":{"ephemeral_5m_input_tokens":3967,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null},"requestId":"req_011CcLAhbY62xe2jENdfDinh","attributionAgent":"Explore","type":"assistant","uuid":"f6002b5e-1d9c-4fdc-b67b-648eafb2b31e","timestamp":"2026-06-23T12:10:34.383Z","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":"f6002b5e-1d9c-4fdc-b67b-648eafb2b31e","isSidechain":true,"promptId":"a75147b2-a5e1-4a6b-94dd-05617c980846","agentId":"af9f12518094995ed","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016cyJHGPqvH3on9FQu2C65t","type":"tool_result","content":"28","is_error":false}]},"uuid":"ad080c1a-7c22-4658-a3c8-6fe0041db153","timestamp":"2026-06-23T12:10:34.456Z","toolUseResult":{"stdout":"28","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"f6002b5e-1d9c-4fdc-b67b-648eafb2b31e","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":"ad080c1a-7c22-4658-a3c8-6fe0041db153","isSidechain":true,"agentId":"af9f12518094995ed","message":{"model":"claude-haiku-4-5-20251001","id":"msg_012eU1NvjE9cjzj4oUxeoovP","type":"message","role":"assistant","content":[{"type":"text","text":"Excellent! Now let me create a comprehensive summary document:\n\n## COMPREHENSIVE COVALBA CHATBOT REPORT\n\n---\n\n### 1. **KNOWLEDGE BASE (`knowledge.md`)**\n\nLocation: `/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/knowledge.md`\n\n**Company Facts (Canonical Values):**\n- Founded: **2011** (as company); **2018** (Covalba brand launch)\n- Expertise: **14 years of R&D**\n- Team: **10 collaborators**, **Founders: Maxime & Bertrand**\n- Achievements: **500+ projects**, **2+ million m² treated in France**, **90 major clients**, **Google 5/5 rating**\n- Network: **40 certified applicators** across France metropolitan + overseas (Guyane, Guadeloupe), Europe (Belgique, Espagne, Suisse), Africa\n- Service Zone: **Entire France, DOM-TOM, International**\n- Contact: **Phone +33 2 38 77 57 08** | **Email contact@covalba.fr** | **HQ: 23 rue Antigna, 45000 Orléans**\n  *(Contact details shared ONLY on explicit request; otherwise direct to Contact page)*\n- Press: Capital, Le Figaro Immobilier, Le Parisien, Zepros, France Bleu\n\n**What is Cool Roof:**\nReflective coating on existing roofing that reflects solar radiation instead of absorbing it, lowering interior summer temperature, reducing HVAC needs, and protecting waterproofing from UV/heat.\n\n**Products & Specs:**\n\n| Product | Supports | Specs | Durability | Price | CEE Eligible |\n|---------|----------|-------|-----------|-------|--------------|\n| **CovaTherm 8** | ~80% of roofs (bituminous membrane, concrete, EPDM, fibrociment, slate/tile ≤15°, PVC) | SRI 119 new / 118 aged; Reflectance 94%; Emissivity 88%; Closes microfissures ≤2mm; Weight 0.8-1.2 kg/m² | 8 years (maintenance at 8-10 yrs) | **18-20 €/m²** | YES (BAT-EN-112) |\n| **CovaTherm 20** | Same | SRI 119/118 + Top Coat UV protector; maintains specs 20 years without reprise | 20 years, no maintenance | **20-25 €/m²** | YES |\n| **CovaTherm Light** | Translucent surfaces (polycarbonate/polyester lanterns, skylights) — NOT glass/glazing | Blocks 98% UV; Rejects 75% solar energy; Preserves up to 65% luminosity; Gain -5°C under treated surfaces | 5-8 years (substrate dependent) | **Devis only** | NO |\n| **CovaSeal 20** | Flat/low-slope roofs with microfissures, blistering, minor leaks | Liquid elastomeric acrylic resin + Top Coat; SRI 107; Closes ≤2mm; Extends existing waterproofing 8-10 years; Fire rating Broof(t3); Apply 10-35°C only | 20 years | **20-25 €/m² HT** (degressive >2000 m²) | YES |\n| **CovaMetal 20** | Corroded but structurally sound **metal/bac acier roofs** (not perforated sheet) | Anti-corrosion elastomeric resin (200% elongation); Reflectance up to 90%; SRI 107; Fire Broof(t3) | 20 years | **20-25 €/m² HT** vs **80-120 €/m²** for metal replacement | YES |\n\n**Cool Roof Performance (Measured):**\n- Surface temperature drop: **~7.5°C measured**\n- Interior temperature: **-8 to -10°C** (up to **-13°C** peak observed on some sites)\n- Dark roof baseline: Can exceed **80°C** surface in summer\n\n**Pricing & ROI:**\n- Applied price: **18-25 €/m²** (often announced **20-25 € HT/m² all-in**: diagnosis, prep, supplies, labor); degressive >2000 m²\n- Comparison: **80-100 €/m²** for new waterproofing membrane; **~150 €/m²** for insulation + waterproofing replacement\n- Cool roof divides renovation budget **3 to 7 times**\n- **Average ROI: ~14 months**\n- Energy savings: **20-40% HVAC reduction** (≈15,000–50,000 €/year depending on size)\n- ROI fastest on **cold-storage/process-refrigeration sites**\n\n**Types of Roofing (Pages):**\n- `/toitures/membrane-bitumineuse` — CovaTherm (or CovaSeal 20 if waterproofing aged). **80% of Covalba projects**\n- `/toitures/bac-acier` — CovaMetal 20 (anti-corrosion + reflective), no sheet removal\n- `/toitures/toiture-plate` — CovaSeal 20 (waterproofing + cooling)\n- `/toitures/fibrociment` — CovaTherm gentle prep (soft cleaning, no high pressure); **amiante = regulatory; no removal required**\n- `/toitures/tuiles-ciment` — CovaTherm for porous substrates, no removal\n\n**Target Sectors (B2B, >~1000 m² buildings):**\n- **Industry** (`/industrie`): factories, food/pharma, aerospace/defense. Up to **-40% HVAC**. NOT CEE-eligible → regional aids, ADEME, ICPE.\n- **Tertiary/Offices** (`/industries/tertiaire`): comfort, tertiary decree (-40% by 2030, -50% 2040, -60% 2050 for >1000 m²). Pure offices NOT CEE-eligible.\n- **Distribution/Large retail** (`/industries/distribution`): client comfort, cold cabinet relief. Often **CEE-eligible** (commercial + HVAC).\n- **Logistics** (`/industries/logistique`): large warehouses, metal roofs. Fastest ROI on **refrigerated warehouses**.\n- **Public/Collectivities** (`/industries/collectivites`): schools, gyms, EHPAD, town halls. NOT CEE but **Green Fund** (up to 80% costs, stackable DETR/DSIL).\n- **Agriculture** (`/industries/agricole`): livestock (heat stress ≥22°C), metal/fibrociment barns. Aid **PCAE** (~30% regional). NOT CEE.\n- **ERP** (`/industries/erp`): hotels, restaurants, cinemas, sports halls. Commercial ERP with HVAC may be **CEE-eligible**.\n\n**CEE Prime (BAT-EN-112) — Strict Rules:**\n- Standardized operation sheet **BAT-EN-112**\n- **Climate zone bareme** (kWh cumac/m²): **H1 (North/East) = 160** | **H2 (Atlantic/SW) = 170** | **H3 (Mediterranean+Corsica) = 270** *(South rewards most)*\n- **Eligibility RESTRICTED**: **commercial-use tertiary building** (shops, galleries) + **heating AND cooling by heat pump** + roof without prior reflective coating + product keeping **SRI >100 new, >90 aged** + conventional 20-year lifespan. **Non-cumulable with BAT-EN-109**.\n- **NOT eligible**: industry, offices, collectivities, residential.\n- **Golden rule**: Never sign work devis **before** initiating CEE process (operation becomes ineligible after signature).\n- **Assistant NEVER calculates** CEE amount → pages **Prime CEE (BAT-EN-112)** required.\n\n**Installation & Project:**\n- **Safe application**: machines at ground level, **only hoses climb roof** → no load on waterproofing, no collapse risk.\n- **Prep**: gentle high-pressure wash (soft on fibrociment), singular point repairs, primer; no stripping. Active leaks treated first.\n- **Timeline**: **2–5 days**, exterior only, **no interruption to operations**, compatible HACCP/BPF/ISO.\n- **Certification required**: installation must be **certified applicators** (warranty condition). **Biennial adhesion warranty**; existing **10-year waterproofing warranty maintained**.\n\n**FAQs (Canonical Answers):**\n- **Activity disrupted?** No—all roof work, exterior, no noise/dust. 2-5 days.\n- **Winter heating loss?** No in most cases—sun low/rare in winter, mainly heats facades. Loss negligible, summer gains far outweigh.\n- **Solar panels?** Compatible & beneficial—cooler roof improves panel efficiency.\n- **Visually blinding white roof?** Slight glare first months, then patinas—no issue after.\n- **Cool roof or refurbish waterproofing?** Complementary: if waterproofing 10-25 years old, cool roof protects & extends ~10 years; if end-of-life & leaking everywhere, replace it first.\n- **Difference from standard paint?** **Polyurethane** (8-10 yrs, 20 yrs with Top Coat) vs **acrylic** (2-5 yrs, rapid reflectivity loss). Covalba = roof technicians, not generic painters.\n- **Self-install?** Discouraged—poor application drops reflectivity 30–50%; roof safety (PPE). Covalba uses certified applicators only.\n- **Maintenance?** Annual inspection + water rinse; self-cleaning, anti-moss finish.\n- **Hazardous substances / runoff water?** REACH compliant; lab-accredited analysis = no pollutants (inc. PFAS) in runoff.\n- **Roof compatibility?** Nearly all: corroded bac acier, concrete, bituminous, EPDM, PVC, fibrociment, lanterns.\n\n**Measured Client References (Chiffres Donnés):**\n- **Albright France** (tertiary, La Rochelle): warehouse **-13°C**, offices **-5°C**, summer bill **÷2**\n- **Roche Bobois** (showroom, Versailles): floors 43°C → **-13°C**, zero-AC goal held\n- **Pa.Sa.Ge International** (cold logistics, Perpignan): loading docks **15°C → 8°C**\n- **Intermarché** (Illiers-Combray): stockroom **-5°C**, shop **-3°C**, cold station **-4.5%** (metered)\n- **Cotral Lab** (non-AC HQ, Condé-en-Normandie): offices **-4°C**\n\n**Sector References (No Figures Except Above):**\n- **Industry/pharma/agro/aero**: Danone, Servier, Laboratoire Chiesi, GE Vernova, Somfy, SNCF, Continental, LSDH, Normaero (aerospace), Franciaflex, Panibois\n- **Distribution**: Intermarché, Cora, E.Leclerc, Carrefour Market, Colruyt, Super U, Netto\n- **Logistics**: Pa.Sa.Ge International, Stocklor\n- **Tertiary**: Albright France, Roche Bobois, Cotral Lab, Banque Edmond de Rothschild, Newrest, EBI\n- **ERP**: McDonald's, E.Leclerc station\n- **Public**: RATP, Restos du cœur\n\n**Site Tools (Never Calculate — Redirect):**\n- `/estimation` — user enters surface, building type (climatized?), sector → indicative range (18–25 €/m²) + CEE if eligible; answer <24h.\n- `/simulateur-economie-energie` — energy savings/ROI pre-qual (surface, AC cost, setpoints...). *(In progress)*\n- `/diagnostic` — expert analysis + free custom quote <24h.\n\n**Becoming Applicator:** `/devenir-applicateur`\nTarget: **etanchéité, isolation, or industrial-painting firms**, **created 2+ years ago**, **B2B customer base**.\nOfferings: coatings, **equipment** (Airless pumps sold/maintained by Covalba), **2-day training**, project support, partner portal (online orders, site delivery), brand visibility.\nPath: candidacy → 2-day training → equipment → projects.\nFootprint: France, DROM-COM, Europe, Africa, Middle East.\n\n---\n\n### 2. **SYSTEM PROMPT (Behavioral Rules)**\n\nLocation: `/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/system-prompt.ts`\n\n**Style (CRITICAL):**\n- **Maximum concision**: 1–3 sentences (aim 1–2), fewest words possible. Direct, zero filler/repetition. Close with next step (often devis).\n- **Light markdown** (bold, brief lists). **NEVER** large headings (#, ##, ###) or separators (---). No walls of text.\n- **Language**: French, formal *vous*. If visitor writes another language, respond in theirs (facts from FR base).\n- **Tone**: roof technician, sober & factual, ROI-focused. No superlatives or aggressive sales pitch.\n\n**Absolute Rules:**\n1. **Knowledge ONLY**: Respond exclusively from knowledge.md. Zero external knowledge.\n2. **Never Invent**: NEVER make up prices, figures, %, delays, guarantees, certifications, references absent from base.\n3. **Never Calculate**: Never total price (m² × €) → redirect to estimation page.\n4. **Price Mention (STRICT)**: Do NOT mention price, amount, range, or **\"€/m²\"** — even in comparison — **EXCEPT if visitor explicitly asks for price**. On devis request: **zero price figures**, encourage devis only.\n5. **Information Gaps (log_unanswered rule)**: If question answer not in base (guarantees, exact chantier delays, certifications, maintenance detail, weather...)→ **don't bluff → call `log_unanswered`**, acknowledge limit, direct to Contact form. ⚠️ `log_unanswered` **ONLY for missing information**, NEVER for devis/price/contact requests or when visitor gives coordinates.\n6. **No Lead Capture**: NEVER record coordinates (name/email/phone) in chat. Don't ask for them.\n   - **Devis** request → `suggest_page(estimation)` (or `simulateur` for ROI).\n   - **Callback** / **talk to team** / **complaint/SAV** / **unanswered question** → `suggest_page(contact)`.\n7. **Covalba Coordinates** (☎ +33 2 38 77 57 08, contact@covalba.fr): By default, redirect to Contact page. **Only share phone/email if visitor explicitly asks** for them.\n   - Becoming applicator → `suggest_page(applicateur)`. CEE → `suggest_page(prime_cee)`.\n8. **Provide Value First, Then Form**: Brief answer + useful info, **then** propose form. Don't redirect dryly/prematurely.\n\n**Pricing & Devis Rules:**\n- **By default, NO price/range**. Encourage **free, no-obligation devis** → `suggest_page(estimation)`.\n- **Devis request** → **zero price mention**; encourage + redirect `suggest_page(estimation)`. Never `log_unanswered` for this.\n- **ONLY if explicitly asked (\"how much?\", \"price per m²?\")** → give 1-phrase indicative range, **then** `suggest_page(estimation)`. Never calculate totals.\n- **If visitor gives coordinates**: don't record → thank in 1 line, redirect `suggest_page(estimation)`.\n- **Always encourage devis** when relevant.\n\n**Target / Out-of-Target:**\nCovalba targets **B2B, large professional buildings**. **If visitor is individual / residential house / small residential surface** → **politely decline** (\"Our solutions address large professional buildings; we don't serve residential\"), **don't engage process, no form redirect**.\n\n**Tools:**\n- `suggest_page`: Orient to ONE relevant page/form. Never calculate CEE/estimation yourself.\n- `log_unanswered`: **ONLY** for missing-info question (never devis/price/contact/coordinates).\n- `suggest_followups`: 2–3 short follow-up questions (user perspective). Never invented facts/figures.\n\n**One Response, Tools Last (CRITICAL):**\n- **Write answer ONCE.** Your text (short), **then** call tools (`suggest_page` then `suggest_followups`). Tool calls = **last action of turn** → **NEVER write text after tool call, never re-write answer**.\n- When calling `suggest_page`, **don't write URL or markdown link** → UI already shows clickable card. Half-sentence intro suffices (\"je vous oriente vers…\").\n- When calling `suggest_followups`, **don't write followups in text** → UI shows them as buttons.\n\n**Competitors:**\nNever name a competitor. Compare **technologies only** (e.g., polyurethane vs. acrylic).\n\n---\n\n### 3. **28 SITE ROUTES (suggest_page Tool)**\n\nLocation: `/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/lib/tools/routes.ts`\n\n| Key | Path | Label |\n|-----|------|-------|\n| `home` | `/` | Accueil |\n| `simulateur` | `/simulateur-economie-energie` | Simulateur d'économies d'énergie |\n| `estimation` | `/estimation` | Estimation de prix |\n| `diagnostic` | `/diagnostic` | Diagnostic toiture |\n| `contact` | `/contact` | Contact |\n| `applicateur` | `/devenir-applicateur` | Devenir applicateur |\n| `qui_sommes_nous` | `/qui-sommes-nous` | Qui sommes-nous |\n| `prime_cee` | `/bat-en-112` | Prime CEE (BAT-EN-112) |\n| `covatherm` | `/solutions/covatherm` | CovaTherm |\n| `covatherm_light` | `/solutions/covatherm-light` | CovaTherm Light |\n| `covaseal_20` | `/solutions/covaseal-20` | CovaSeal 20 |\n| `covametal_20` | `/solutions/covametal-20` | CovaMetal 20 |\n| `guide` | `/guide-cool-roof` | Guide Cool Roof |\n| `faq` | `/faq` | FAQ |\n| `references` | `/references` | Références chantiers |\n| `blog` | `/blog` | Blog |\n| `membrane_bitumineuse` | `/toitures/membrane-bitumineuse` | Toiture membrane bitumineuse |\n| `bac_acier` | `/toitures/bac-acier` | Toiture bac acier |\n| `toiture_plate` | `/toitures/toiture-plate` | Toiture plate |\n| `fibrociment` | `/toitures/fibrociment` | Toiture fibrociment |\n| `tuiles_ciment` | `/toitures/tuiles-ciment` | Toiture tuiles ciment |\n| `industrie` | `/industrie` | Industrie (vue d'ensemble) |\n| `tertiaire` | `/industries/tertiaire` | Secteur tertiaire |\n| `distribution` | `/industries/distribution` | Grande distribution |\n| `logistique` | `/industries/logistique` | Logistique |\n| `collectivites` | `/industries/collectivites` | Collectivités |\n| `agricole` | `/industries/agricole` | Agricole / agroalimentaire |\n| `erp` | `/industries/erp` | ERP |\n\n---\n\n### 4. **EXISTING TESTS & EVAL**\n\nLocation searched: `/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/`\n\n**Finding**: **NO test files or eval scripts exist yet.**\n- No `test/`, `tests/`, `*.test.ts`, `*.spec.ts` directories.\n- `package.json` has no test/eval scripts (only `dev`, `build`, `start`, `lint`).\n- This is a greenfield opportunity for comprehensive test case writing.\n\n---\n\n### 5. **SCENARIOS DOCUMENTATION**\n\nLocation: `/opt/projects/.covalba-chatbot-worktrees/tom-intesive-testing/docs/presentation-assistant-covalba.md`\n\n**10 Canonical Scenarios (Expected Behaviors):**\n\n| Scenario | User Input | Assistant Response | Page Proposed |\n|----------|-----------|-------------------|--------------|\n| **1. Price Query** | \"C'est combien le cool roof au m²?\" | Gives indicative range (20–25 €/m² for premium), clarifies price depends on toiture + surface, then → free devis page | `estimation` |\n| **2. Product / Roof Type** | \"Vous traitez les toitures en bac acier?\" | Confirms, briefly explains anti-corrosion + reflective in one pass, → dedicated bac acier page + CovaMetal 20 product sheet | `bac_acier`, `covametal_20` |\n| **3. Devis Request** | \"Je voudrais un devis pour un entrepôt de 5 000 m².\" | Indicates request will go to team, → estimation form (no coordinates captured in chat) | `estimation` |\n| **4. CEE Prime** | \"J'ai droit à une aide pour ma toiture?\" | Explains CEE (2-sentence) + restricted eligibility, → CEE page (no calculation by bot) | `prime_cee` |\n| **5. Sector Reference** | \"Vous avez travaillé dans l'agroalimentaire?\" | Cites sector references, → References page for details | `references` |\n| **6. Callback Request** | \"J'aimerais qu'un commercial me rappelle.\" | → Contact form (gives phone/email **only if explicitly asked**) | `contact` |\n| **7. Become Applicator** | \"Comment devenir applicateur agréé?\" | Summarizes network (building firms, 2-day training, equipment), → Applicator page | `applicateur` |\n| **8. Winter Heating Objection** | \"En hiver, je vais consommer plus de chauffage, non?\" | Factual answer (low winter sun, loss minimal, vastly outweighed by summer), → Guide/FAQ | `guide`, `faq` |\n| **9. Out-of-Target (Residential)** | \"C'est pour ma maison individuelle.\" | Politely declines (\"Our solutions are for large professional buildings\"), **no form redirect, no devis process engaged** | *(none)* |\n| **10. Knowledge Gap** | \"Quel est le délai de séchage exact à 12°C?\" | Honestly acknowledges info not available, **calls `log_unanswered`**, → Contact form | `contact` |\n\n**Functional Behaviors from Doc:**\n- Bot **informs briefly + proposes best site page** (core function = guide navigation, not act as full source).\n- Proposes **2–3 clickable follow-up questions** after each answer.\n- Conversation **persists across pages** during visit (24h localStorage).\n- \"New conversation\" button available.\n- Links open in `target=\"_top\"` (escape iframe).\n- **Monthly auto-report** via email (stats + unanswered questions) for knowledge-base enrichment.\n\n---\n\n### 6. **ADDITIONAL TECHNICAL CONTEXT**\n\n**Architecture:**\n- **Framework**: Next.js 16 (App Router), embeddable via `<script>` in `public/widget.js` (iframe loader).\n- **AI Model**: Sonnet 3.5 via **AI Gateway** (Anthropic SDK v6+, provider `@ai-sdk/anthropic`).\n- **Tools**: 3 tools (suggest_page, log_unanswered, suggest_followups), \"fire-and-forget\" single-step mode (`stopWhen: stepCountIs(1)`).\n- **Persistence**: PostgreSQL/Neon (Drizzle ORM); PII masking (email→`[email]`, phone→`[tel]`); rate-limit by IP.\n- **Back Office**: `/admin` (Basic Auth via `proxy.ts`) — KPI dashboard, conversation list + thread, unanswered Q list + CSV export.\n- **Cron Report**: Monthly (1st of month, 6 AM UTC) → email to `REPORT_TO` via Resend.\n- **UI**: Markdown rendering, chip buttons (followups + starter chips), localStorage 24h persistence, emoji-free.\n- **Limits**: maxOutputTokens=400 (fast, cost-controlled), conversation capped to last 24 messages.\n- **Rate Limit**: IP-based via `@upstash/ratelimit`.\n- **Prompt Caching**: Knowledge.md cached via Anthropic provider options (ephemeral) + AI Gateway auto-caching.\n\n**Known Pains / Gotchas:**\n- `@ai-sdk/anthropic@3.0.81` is broken (pins unpublished provider v3.0.10) → pinned to `3.0.70`. Don't bump without testing.\n- `convertToModelMessages` is **async** in AI SDK v6 (requires `await`).\n- AI Gateway requires credit card on Vercel (distinct from hosting payment).\n- OIDC token (~12h) → re-pull `vercel env pull` if auth fails in local.\n- Real domain: **covalba.fr** (not .com).\n- Knowledge.md canonical values override contradictions on live site (e.g., founding date).\n- Simulator, global config, climate projections, ROI calculations = placeholders/incomplete → excluded from knowledge.md.\n\n---\n\n## SUMMARY FOR TEST CASE AUTHORING\n\nYou now have **complete specification** for building 100–200 realistic test cases:\n\n1. **Knowledge base is authoritative**: Every numeric value, price, reference, certification, contact—all in `knowledge.md`. Anything absent = bot should escalate or decline.\n\n2. **System prompt is strict on behavior**:\n   - Concision (1–3 sentences, no padding)\n   - NO price volunteered unless asked\n   - NO coordinates unless explicitly requested\n   - NO calculation (devis, CEE, ROI)\n   - Redirect to forms, don't capture in chat\n   - Decline residential (no form redirect)\n   - Escalate knowledge gaps (log_unanswered)\n   - Single response + tools last (no text after tool call)\n\n3. **Routes are locked** (28 keys enum'd, no others allowed for `suggest_page`).\n\n4. **Tool rules**:\n   - `suggest_page` = navigation (only 1 per response, required reason)\n   - `log_unanswered` = knowledge gap escalation (never for devis/price/contact)\n   - `suggest_followups` = 2–3 user-perspective follow-ups (no made-up facts)\n\n5. **Scenarios cover 10 canonical user intents** (price, product, devis, CEE, references, callback, applicator, objection, out-of-target, knowledge gap).\n\n6. **Judging rubric should validate**:\n   - Factual accuracy (vs. knowledge.md)\n   - Tone (expert, sober, ROI-focused)\n   - Length (1–3 sentences max)\n   - Tool usage (correct intent, reason provided, no text after)\n   - Routing (right page for intent)\n   - Escalation (log_unanswered when appropriate, no bluffing)\n   - Contact rule (phone/email only on explicit request)\n   - Price rule (never volunteered unless asked)\n   - Devis rule (never capture in chat, always redirect)\n   - Out-of-target (decline without form redirect)\n\nAll file paths are absolute and in the worktree. You have everything needed to write a rigorous test suite."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":119,"cache_read_input_tokens":51284,"output_tokens":7001,"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":119},"inference_geo":"not_available","iterations":[{"input_tokens":5,"output_tokens":7001,"cache_read_input_tokens":51284,"cache_creation_input_tokens":119,"cache_creation":{"ephemeral_5m_input_tokens":119,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcLAho6rt9mHtyp8eCYWG","attributionAgent":"Explore","type":"assistant","uuid":"27ee5a78-4af7-4f8e-adeb-45244f0a88ef","timestamp":"2026-06-23T12:12:00.019Z","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"}
