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Mistral launches API for building AI agents that run Python, generate images, perform RAG and more

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Mistral launches API for building AI agents that run Python, generate images, perform RAG and more

Mistral launches API for building AI agents that run Python, generate images, perform RAG and more

French AI Startup Mistral AI Unveils New Service for Enterprise and Developers

By Netvora Tech News


The innovative French AI startup Mistral AI is expanding its offerings with a new service designed for both enterprise customers and independent software developers. This new service, called Agents application programming interface (API), empowers third-party software developers to easily incorporate autonomous generative AI capabilities into their existing applications.

Mistral's Agents API is built around the company's proprietary Medium 3 model, which serves as the "brains" of each agent. This "plug and play" platform allows for nearly limitless customization, enabling developers to quickly and effectively integrate AI agents into their workflows.

  • Rapidly add autonomous generative AI capabilities to existing applications
  • Securely pull information from enterprise documents
  • Utilize the latest Mistral proprietary model, Medium 3

"With Agents API, we empower enterprises to use AI in more practical and impactful ways," said Sophia Yang, PhD, Head of Developer Relations at Mistral, in a statement.

The new release complements Mistral's existing Chat Completion API, focusing on agentic orchestration, built-in connectors, persistent memory, and the flexibility to coordinate multiple AI agents to tackle complex tasks.

Breaking Down Barriers with Powerful Tools and Built-in Connectors

Mistral's Agents API is designed to surpass the limitations of typical large language models (LLMs), offering a more robust and flexible solution for developers and enterprises alike. By providing powerful tools and built-in connectors, Mistral is poised to revolutionize the way AI is used in various industries and applications.

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