#llmsmap.me

Audit technique indépendant

agentsphere.run

agentsphere.run

Score global de préparation IA

Résultat combiné de tous les signaux de l’audit.

58sur 100Moyen
Audit de préparation IA: 21/07/2026Données techniques publiques

Évaluation globale de préparation IA

Niveau de préparation de agentsphere.run pour les systèmes d’IA

58/100

LLMs.txt for AgentSphere (agentsphere.run) a obtenu 58/100 lors de l’audit technique automatisé de préparation à l’IA. llms.txt était accessible, llms-full.txt était accessible et ai.txt était introuvable. L’analyse de robots.txt a trouvé 0 robots IA explicitement autorisés, 5 bloqués et 0 sitemaps déclarés. La complétude du balisage de la page d’accueil atteint 0% ; aucun type Schema.org détecté. Balises OpenGraph détectées : 0. Les résultats correspondent aux réponses publiques observées le 2026-07-21T05:36:06.045Z.

Contexte de l’évaluation

L’audit combine les fichiers lisibles par les machines, les règles des robots, les sitemaps et le balisage de la page d’accueil. llms.txt est accessible et contient 2 263 jetons.

robots.txt est disponible ; robots IA bloqués : 5. Sitemaps déclarés : 0. Aucun type Schema.org détecté.

Profil Lighthouse mobile : performance 83/100, accessibilité 95/100, SEO 100/100.

Points forts confirmés

  • llms.txt est accessible
  • llms-full.txt est disponible
  • robots.txt a été analysé
  • Les signaux OpenGraph et canoniques ont été vérifiés

Améliorations prioritaires

  1. 1Déclarer le sitemap.xml actuel dans robots.txt.
  2. 2Ajouter du JSON-LD pour l’organisation, le site et les entités principales.
Jetons llms.txt2 263
Jetons llms-full.txt27 369
ai.txt
sitemap.xml

Profil technique Google Lighthouse

Une mesure Lighthouse mobile. La catégorie expérimentale Agentic Browsing est présentée séparément et ne remplace pas le score global de LLMSMap.

Mobile · Lighthouse
83

Performance

95

Accessibilité

92

Bonnes pratiques

100

SEO technique

100

Agentic Browsing

Interprétation des résultats

La performance mobile est de 83/100 ; le plus grand contenu visible est apparu en 3.5 s et le thread principal a été bloqué pendant 200 ms. Le décalage de mise en page est de 0. Les tâches longues retardent les actions des utilisateurs et des agents de navigateur.

Accessibilité : 95/100, bonnes pratiques : 92/100, SEO technique : 100/100. La catégorie expérimentale Agentic Browsing atteint 100/100 et reste distincte du score global de LLMSMap.

1

Libérer le thread principal et accélérer le premier écran

Découpez les longues tâches JavaScript, différez les scripts et styles non critiques et réduisez les chaînes de requêtes bloquantes.

2

Réduire le code chargé inutilement

Supprimez le CSS et le JavaScript inutilisés, chargez les widgets lourds à la demande et limitez les scripts tiers.

3

Réduire la latence réseau

Améliorez la réponse du serveur, retirez les redirections inutiles et utilisez la compression et le cache.

FCP2.5 s

Premier contenu

LCP3.5 s

Contenu principal

CLS0

Stabilité visuelle

TBT200 ms

Temps de blocage

SI3.6 s

Vitesse visuelle

Glossaire des métriques
FCP · Premier contenu
Moment où le premier texte ou la première image apparaît.
LCP · Contenu principal
Moment où le plus grand élément visible est affiché.
CLS · Stabilité visuelle
Déplacements inattendus pendant le chargement ; une valeur basse est préférable.
TBT · Temps de blocage
Durée pendant laquelle le thread principal ne pouvait pas répondre rapidement.
SI · Vitesse visuelle
Vitesse à laquelle la zone visible s’est remplie de contenu.
21/07/2026Lighthouse 13.4.0Profil mobile

Vérifications de préparation IA

Fichiers lisibles par les machines, règles des robots, découverte et balisage de la page d’accueil.

llms.txt

Fichier trouvé et accessible

https://www.agentsphere.run/llms.txt
llms-full.txt

La version complète est disponible

https://www.agentsphere.run/llms-full.txt
ai.txt

Le fichier ai.txt est introuvable

robots.txt

Fichier trouvé

https://agentsphere.run/robots.txt
Sitemap dans robots.txt

Aucun sitemap déclaré dans robots.txt

Schema.org (JSON-LD)

Aucun balisage Schema.org trouvé sur la page d’accueil

OpenGraph0%

Aucune balise OpenGraph trouvée sur la page d’accueil

Accès des robots IA

D’après l’analyse de robots.txt

GPTBotBloqué
OAI-SearchBotNon mentionné
ChatGPT-UserNon mentionné
Google-ExtendedBloqué
ClaudeBotBloqué
Claude-SearchBotNon mentionné
Claude-UserNon mentionné
BytespiderBloqué
CCBotBloqué
PerplexityBotNon mentionné
Perplexity-UserNon mentionné
# LLMs.txt for AgentSphere
# Specification: https://llmstxt.org
# Contact: contact@agentsphere.run
# Website: https://www.agentsphere.run

> AgentSphere is an agent-native cloud sandbox for secure code execution, sandbox environments, and developer workflows. It helps teams rapidly prototype, test, and run applications with integrated AI/LLM support.

## Overview
- [AgentSphere Home](https://www.agentsphere.run): The main homepage for AgentSphere, providing an overview of the platform, key features, and use cases for developers and AI engineers.

## Product Features
- [Gallery](https://www.agentsphere.run/gallery): A showcase of community-built projects and applications. Fork existing projects, find inspiration, and share your own creations.
- [Playground](https://www.agentsphere.run/playground): An interactive, browser-based environment to instantly test AgentSphere's capabilities without any local setup or API keys.
- [Sign Up](https://www.agentsphere.run/signup): The registration page for creating a new AgentSphere account.
- [Budget Management](https://www.agentsphere.run/budget): Manage your team's spending on sandbox usage. Set budgets, receive alerts, and control costs for your AI applications.
- [Templates](https://www.agentsphere.run/template): A library of pre-configured sandbox environments (e.g., Node.js, Python with Playwright) to accelerate your development workflow.
- [Usage Tracking](https://www.agentsphere.run/usage): Monitor your real-time and historical sandbox usage, including vCPU hours, RAM hours, and overall costs.
- [API Key Management](https://www.agentsphere.run/apikey): Generate, manage, and revoke your API keys for securely authenticating with the AgentSphere platform.
- [Sandbox Management](https://www.agentsphere.run/sandbox): The main dashboard to view, manage, and interact with your active sandbox instances.
- [Billing](https://www.agentsphere.run/billing): View your current plan, manage payment methods, and access your invoice history.
- [Team Management](https://www.agentsphere.run/team): Invite and manage team members, set roles, and collaborate on projects within your organization.
- [User Account](https://www.agentsphere.run/user): Manage your personal account settings, profile information, and preferences.

## Support & Documentation
- [Pricing](https://www.agentsphere.run/pricing): Detailed information about AgentSphere's pricing plans, including free and pro tiers, based on usage.
- [Documentation](https://www.agentsphere.run/docs): The official platform documentation, including quick starts, SDK guides, tutorials, and API references.
- [Quick Start](https://www.agentsphere.run/docs/quick-start): Get started with AgentSphere by running your first secure cloud sandbox.
- [Sandbox Lifecycle](https://www.agentsphere.run/docs/sandbox/lifecycle): Understand and manage the lifecycle of your AgentSphere sandboxes. 
- [Sandbox Metadata](https://www.agentsphere.run/docs/sandbox/metadata): Learn how to use metadata to attach custom key-value data to your AgentSphere sandboxes.
- [Sandbox Environment Variables](https://www.agentsphere.run/docs/sandbox/environment-variables): A guide to setting and using environment variables within an AgentSphere sandbox.
- [List Sandbox](https://www.agentsphere.run/docs/sandbox/list): Discover how to list and filter your active AgentSphere sandboxes.
- [Connect Sandbox](https://www.agentsphere.run/docs/sandbox/connect-sandbox): Learn how to reconnect to and reuse an active AgentSphere sandbox instance. 
- [Pause/Resume Sandbox](https://www.agentsphere.run/docs/sandbox/resume-pause): Learn how to pause and resume an AgentSphere Sandbox to persist its complete memory and filesystem state, including running processes and variables.
- [Internet Access](https://www.agentsphere.run/docs/sandbox/internet-access): Learn how sandboxes have full internet access and can be exposed via a public URL.
- [Sandbox Commands](https://www.agentsphere.run/docs/sandbox/commands): This guide covers how to run commands, stream stdout and stderr in real-time, and manage long-running background processes using the SDK. 
- [Connect to Bucket](https://www.agentsphere.run/docs/sandbox/connect-bucket): Learn how to mount and interact with external object storage buckets (e.g., AWS S3) from inside a sandbox.
- [Rate Limits](https://www.agentsphere.run/docs/sandbox/rate-limits): Understand the API rate limits for sandbox creation, command execution, and file operations.
- [Sandbox Metrics](https://www.agentsphere.run/docs/sandbox/metrics): Learn how to collect runtime metrics (CPU, memory, network) from active sandboxes for monitoring and debugging.
- [Customize Template](https://www.agentsphere.run/docs/template/customize-template): A guide to creating and extending your own templates to accelerate sandbox setup.
- [Customize CPU and RAM](https://www.agentsphere.run/docs/template/customize-cpu-ram): Learn how to configure custom CPU and memory resources for your sandboxes.
- [Start Command](https://www.agentsphere.run/docs/template/start-cmd): Define the startup command for your sandbox so it automatically runs the right process when launched.
- [Ready Command](https://www.agentsphere.run/docs/template/ready-cmd): Configure a ready-check command to determine when a sandbox has fully started and is ready to accept traffic.
- [Get File/Directory Information](https://www.agentsphere.run/docs/filesystem/info): Learn how to use AgentSphere Sandbox files.getInfo() / files.get_info() methods to retrieve detailed information about files and directories, including name, type, path, permissions, size, and more.
- [Read/Write Files](https://www.agentsphere.run/docs/filesystem/read-write): Learn how to perform file I/O operations in an AgentSphere sandbox using the Python and JavaScript/TypeScript SDKs.
- [Watch Directory](https://www.agentsphere.run/docs/filesystem/watch): Discover how to monitor a directory for filesystem events within an AgentSphere sandbox.
- [Upload Files](https://www.agentsphere.run/docs/filesystem/upload): Learn to use the SDK for direct uploads and how to generate secure, pre-signed URLs to authorize uploads from a browser.
- [Download Files](https://www.agentsphere.run/docs/filesystem/download): Learn to use the SDK for direct downloads and how to generate secure, pre-signed URLs to authorize downloads from a browser.
- [MCP Server](https://www.agentsphere.run/docs/mcp-server): Explore AgentSphere's official Model Context Protocol (MCP) server, enabling frontier LLMs to safely interact with external tools and data. Learn how to configure AgentSphere as an MCP server for clients like Cursor, Claude Code, and Raycast, and discover examples like generating live data charts within a secure sandbox environment.
- [Desktop](https://www.agentsphere.run/docs/desktop): Discover AgentSphere Desktop, a secure virtual desktop designed for AI agents performing 'Computer Use' tasks. This guide shows you how to programmatically control a complete, isolated desktop environment to launch GUI applications, all via our Python and JavaScript SDKs.
- [Release Notes](https://www.agentsphere.run/docs/release-notes): Stay updated with the latest features and improvements in AgentSphere.
- [CLI Setup](https://www.agentsphere.run/docs/cli/cli-setup): Learn how to install and configure the AgentSphere Command-Line Interface (CLI).
- [CLI Operations](https://www.agentsphere.run/docs/cli/cli-operations): A complete guide to managing your AgentSphere cloud sandboxes via the command line. Learn the CLI commands to list, filter, and destroy sandboxes.
- [Common Issues](https://www.agentsphere.run/docs/troubleshooting/common-error): A troubleshooting guide to address frequently encountered errors when using AgentSphere, including authentication failures, network issues, and sandbox access errors.  
- [Startup Issues](https://www.agentsphere.run/docs/troubleshooting/startup-issue): Learn how to diagnose and resolve problems when initializing or starting an AgentSphere sandbox, such as timeout errors, missing dependencies, or misconfigured runtime environments.  
- [Template-related Issues](https://www.agentsphere.run/docs/troubleshooting/template-error): Understand common issues when creating or customizing sandbox templates, including reserved ports, conflicting services, and invalid configuration files.  
- [Glossary](https://www.agentsphere.run/docs/glossary): A comprehensive glossary of AgentSphere terminology, covering core concepts like sandboxes, templates, MCP, environment variables, and lifecycle management.  

## Company & Legal
- [Terms of Service](https://www.agentsphere.run/terms): The platform's terms of service and other legal agreements.
- [Contact](https://www.agentsphere.run/contact): The primary page for getting in touch with the AgentSphere support and sales teams.

## Blog
- [AgentSphere Blog](https://www.agentsphere.run/blog): The company's official blog, featuring technical guides, product updates, and insights for developers and AI engineers.
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Ajouté 19/07/2026
agentsphere.run – audit de préparation IA | llmsmap.me/fr