Mistral AI has launched a new Agents API, designed to extend language models into intelligent agent systems for enterprise applications.
This framework adds tools for task execution, context tracking, and agent orchestration to foundational language models, enabling multiple AI agents not only to execute tasks independently, but also to collaborate and integrate with external systems, creating complete business processes.
Each agent can connect via connectors and the MCP (Model Context Protocol) tool to run Python scripts, perform web searches, generate images (powered by Black Forest Lab FLUX1.1[pro] Ultra), or extract documents from Mistral Cloud. As a standard protocol, MCP enables seamless connections between APIs, databases, and user data.
In contrast to traditional chatbots, Agents API supports persistent context management. Even if interactions are interrupted or rolled back, the agent retains its state, enhancing system continuity and reliability. Developers can either interact directly with individual agents or control multiple agents through connectors to compose custom workflows.
The core highlight is the agent orchestration capability: for example, a financial agent can call a search agent to gather information or delegate computational tasks to a calculation agent — achieving intelligent collaboration among specialized agents.
In demonstrations, Mistral showcased agent applications in various real-world scenarios:
Code assistant connects to GitHub to assist in automating development workflows;
Intelligent task coordinator converts call content into product requirement documents (PRDs) and executable tasks;
Financial agent coordinates across multi-server systems to extract and analyze data;
Digital nutritionist provides dietary planning and goal-tracking recommendations for users.
Agents API integrates seamlessly with Mistral Chat Completion API, making it a powerful tool for building enterprise-level AI applications and automating business processes. Enterprises and developers can now define, combine, and orchestrate multiple specialized agents to create truly efficient and intelligent enterprise AI systems.
