Toto
Intelligent LLM router and interaction layer for cost-effective AI task management.
Score
60
Évaluation Utilisateur
3.0
Support Gratuit/Essai
Non Pris en Charge
Prix de Démarrage
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Dernière Mise à Jour
août 14, 2026
Aperçu
Qu'est-ce que Toto ?
Toto is an intelligent routing layer and interaction platform designed for the human-agent world model. It optimizes LLM usage by automatically directing tasks to the most cost-effective and capable models from major vendors like OpenAI, Anthropic, and Google. Beyond cost optimization, Toto serves as a bidirectional state management layer where humans and AI agents can interact in a shared, real-time environment. It helps businesses avoid wasting money on expensive 'top-tier' models for simple tasks by scoring model capability against specific needs, ensuring the right model is used for the right prompt.
À quoi sert Toto ?
Tags
Fonctionnalités Principales
- Intelligent Task Routing
- Cost and Token Spend Optimization
- Human-Agent Bidirectional State Management
- Multi-Model Support (OAI, Anthropic, Google)
- Real-time Volumetric World Model
- Integration via SSE, API, MCP, and CLI
Comment utiliser Toto ?
Users can drop their email to gain access or contact the team directly. Once integrated via API, CLI, or MCP, tasks are submitted to the Toto dashboard where the router automatically selects the best model based on speed, cost, and skill requirements.
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Avantages & Inconvénients
Aucune Donnée
Cas d'Utilisation
- Reducing enterprise LLM costs by routing simple queries to cheaper models
- Managing complex workflows where Claude Code and humans collaborate on the same dashboard
- Real-time state tracking for multi-agent systems
Avis Utilisateurs
3.0
sur 5
3.0
Aucun avis pour le moment
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