Lematev | Control layer for AI Agent

Lematev empowers companies to optimize digital agent expenditures in real time. It goes beyond simple spending oversight by integrating directly between your agents and service providers, ensuring efficient resource allocation and preventing excessive costs. Key features include: * Dynamic request routing to appropriate models * Prevention of runaway execution loops * Enforcement of predefined spending budgets * Detailed cost tracking by agent and task * Context pruning for token cost reduction This platform intelligently manages digital agent interactions by determining the most cost-effective models for each request. It actively stops unproductive cycles, such as identical repeat calls or agent oscillations, and escalates critical tasks to stronger models while directing simpler classifications to more economical options. Lematev also caches previously answered questions, further reducing redundant expenses. By focusing on the successful completion of tasks rather than just the price per call, Lematev helps teams significantly reduce waste and confidently scale their digital agent operations. It provides granular visibility into spending, allowing businesses to understand what every euro of expenditure has achieved per agent and per task. The platform offers hard budget stops, refusing calls once a monthly ceiling is reached, and allows for custom rules to pin specific routing preferences. Lematev is ideal for engineering teams and businesses deploying digital agents that need precise financial governance and operational efficiency. It supports a range of providers including OpenAI, Anthropic, Google, Groq, Mistral, and DeepSeek, offering a robust layer for managing digital agent usage and costs effectively.