Mistral Large 4（Le Chonk）通过先进的编码、网络安全和文档推理能力增强企业 AI，而 Mistral Studio 提供了一个灵活的平台，用于在云、VPC 或本地环境中部署智能体、工作流和应用。新功能如托管智能体、工作流和企业上下文简化了业务流程，实现了 AI 解决方案的更快开发和部署。ABANCA 和 BNP Paribas 等客户已经使用 Studio 来自动化任务、提高效率，并保持对其 AI 系统的完全控制。
Mistral Studio 是我们的企业 AI 平台，旨在将这种智能应用于您的业务。它让您的团队能够通过连接到企业数据和系统的智能体、工作流和应用快速激活模型。无论您选择在哪里部署：在云端、在自己的 VPC 中、本地部署或跨多种环境组合。并且保留对您创建的智能的完全控制和理解，从系统如何运作到它们构建的知识。
包括 ABANCA、Accenture、Alten、BNP Paribas、Capgemini、CMA CGM 和 Tata Consultancy Services 在内的客户和合作伙伴已经在生产环境中使用 Studio。随着此次发布，您的开发人员可以更快速地构建和部署新的用例，然后在企业的更多部分复用这些工作成果。
Studio 将所有这三者整合在共享的基础设施上。您可以从 Le Chonk 等模型开始，并通过连接器和 MCP 服务器将其连接到您的企业数据和系统。这一基础使您能够轻松构建具有所需上下文的智能体、工作流和应用。Studio 管理它们的运行方式，并让团队检查发生了什么。
通过新的 Mistral MCP 服务器，开发人员可以使用他们熟悉的 Mistral Vibe 或编码代理进行构建，在本地测试，并通过一条命令部署到他们的 Studio 环境。Studio 处理托管和执行，因此团队可以在该基础上构建，更快地将每个新用例投入生产。
在 Studio 中，开发人员现在可以构建执行复杂多步骤任务的智能体。开发人员可以为它们配备捕捉团队程序的技能、运行代码的沙箱以及委派任务部分的子智能体。挂钩（Hooks）允许开发人员在执行的关键点添加自定义逻辑，塑造智能体的工作方式及其与现有系统的集成。
Studio 管理所有这些工作背后的运行时，使用每周支持数百万次 Mistral Vibe 会话的成熟基础设施。开发人员可以专注于智能体的能力和行为，同时设定对其可访问的工具、数据和操作的界限。这意味着更快速地将有能力的智能体投入生产，减少需要构建的基础设施，并对智能体的运作方式拥有更多控制权。
我们的工程团队在 Studio 中构建了一个调查生产事故智能体。当警报触发时，工程师需要弄清楚发生了什么，通常需要在解决问题的压力下工作。该智能体开始调查：它遵循团队的运行手册，在采取敏感操作前请求批准，并在 Slack 中发布调查结果。工程师接手调查时已经收集了有用的上下文，每月为团队节省数百小时。
工作流定义了流程的运行方式：哪些步骤遵循固定规则，智能体何时进行推理，人员何时做出决定。中断的运行可以从断点恢复。团队可以用 Mistral Vibe 描述一个流程，并使用它来生成、测试和部署工作流，生成的代码可供检查和编辑。本次发布还增加了来自企业系统的事件触发器，以及使每个工作流的逻辑更容易检查的可视化图表。
我们的产品运营团队在 Studio 中构建了一个工作流，用于分类来自内部团队的想法和客户反馈。将每个提交路由给正确的人是团队的一项常规任务，但耗时。一个模型识别出错误和功能请求，然后路由规则将它们发送给相应的团队。这为产品运营团队每周节省了约 35 小时。
编码代理使得构建应用程序变得容易，但要将其在企业中投入使用，则需要满足安全、访问和可靠性的要求。Studio 提供托管、身份验证和访问控制，帮助开发人员更快地使应用程序准备好用于企业环境。团队可以使用预批准的、可复用的组件进行构建，减少需要安全审查的新代码量。
这些应用程序可以使用智能体和工作流，通过搜索索引检索企业文档，并访问 Studio 中的共享上下文。开发人员可以在本地测试，然后通过一条命令部署，使应用程序在其自己的链接或 Mistral Vibe 内部可用。
我们的应用 AI 团队（帮助客户构建 AI 解决方案的团队）在 Studio 中构建了一个人员配置应用。以前，为项目配置人员意味着手动将团队档案和过往经验与分散在文档和工具中的需求进行匹配。
该应用使用智能体推荐人员并解释其经验如何符合项目需求。人员配置主管获得一份带有支持证据的短名单，供其审查，帮助 Mistral 更快地组建团队，并在为复杂的客户 AI 项目配置人员时发现可能被忽视的专业知识。
Studio 让您控制 AI 的运行位置、运行方式以及您构建的智能。您可以在自己的云、VPC 或本地环境中部署模型和平台。您也可以使用 Mistral 托管的部署，或组合环境以满足您的需求。敏感数据和围绕其构建的流程可以保留在您定义的边界内。
您选择模型，治理对数据和工具的访问，并决定哪些操作需要人工批准。OpenTelemetry 追踪显示运行的每一步，包括模型调用、工具使用和批准，因此您的团队可以看到流程在哪里变慢或失败。评估功能让他们在发布前针对自己的数据集测试提示词、模型或工具的更改。这些追踪和评估结果归他们所有，保留了他们在使用中积累的操作知识。
查看原文
Thinking
Summary
Mistral Large 4 (Le Chonk) enhances enterprise AI with advanced coding, cybersecurity, and document reasoning, while Mistral Studio provides a flexible platform for deploying agents, workflows, and apps across cloud, VPC, or on-premises environments. New features like managed agents, workflows, and enterprise context streamline business processes, enabling faster development and deployment of AI solutions. Customers like ABANCA and BNP Paribas already use Studio to automate tasks, improve efficiency, and maintain full control over their AI systems.
Mistral Large 4 (Le Chonk) pushes the frontier of what enterprises can build with open models. It does great for coding, delivers advanced defensive cybersecurity capabilities, and brings powerful reasoning to complex documents and business tasks.
Mistral Studio is our enterprise AI platform for putting that intelligence to work in your business. It lets your teams activate models quickly through agents, workflows and apps connected to your enterprise data and systems. Deploy them wherever you choose: in the cloud, in your own VPC, on-premises or across a combination of environments. And retain full control and understanding of the intelligence you create, from how your systems work to the knowledge they build.
Today, we’re expanding Studio with managed agents and apps, alongside new capabilities for workflows, enterprise context, agent observability and evaluations.
Customers and partners including ABANCA, Accenture, Alten, BNP Paribas, Capgemini, CMA CGM and Tata Consultancy Services already use Studio in production. With this release, your developers can build and deploy new use cases faster, then reuse that work across more of the business.
Mistral Studio is our platform for building enterprise AI applications. Running it in our own cloud environment, with inference provided by Mistral, allows us to bring AI into the business while retaining control over our infrastructure and how sensitive customer data is accessed and used.
Jose Jorge Garcia Romaris, Head of Data Engineering & AI
Our clients are looking beyond isolated AI use cases to reinvent how work gets done across the enterprise. Mistral Studio gives us the foundation to build, orchestrate and scale AI solutions tailored to their business needs, while securing control over their data and deployment. Combined with our industry expertise and delivery capabilities, it allows us to turn technology into real business impact at scale.
Gregory Christophe, Accenture x Mistral Business Group
Most industrial AI projects still stall at the pilot stage. We'll build agents and workflows for our clients' engineering and R&D teams on Mistral Studio to take their pilots into production. We're training our developers on the platform.
Gualtiero Bazzana, ExCom Member and CAIO
The AI systems we build run some of our most sensitive processes, so we run Mistral Studio on our own infrastructure and keep those systems under our control.
Su YANG - Head of Artificial Intelligence & IT Innovation, BNP Paribas
AI creates lasting value only when enterprises can trust it within their operations. Mistral Studio aims to let us decide exactly which systems the agents can access, and brings the observability and evaluation needed to turn a promising PoC into a system they can operate, measure, and rely on. That’s one of the gaps our clients are looking to close leveraging Mistral.
Fernando Alvarez, Capgemini Group Chief Strategy & Development Officer, Group Executive Board Member
We've built AI systems with Mistral's engineers for some of our most critical processes, from cargo release and customer assistance in shipping to transport orders in logistics. They run on Mistral Studio, where each new process we automate is production-ready in weeks rather than months. With the new version of Studio, our own teams and partners will do more of the building themselves, so we can take more of our processes to production and keep the know-how in-house.
Julien Smadja, VP AI
The future of enterprise AI will be defined by an ecosystem that balances innovation with trust, giving organizations the flexibility to adopt the right AI technologies while maintaining control. Through our partnership with Mistral, TCS is helping enterprises harness advanced AI capabilities while maintaining sovereignty, governance, security, and deployment flexibility. As one of the first global systems integrators investing in the Mistral ecosystem, we are enabling clients to build, deploy, govern, and scale AI with confidence. Together, we are accelerating the adoption of trusted AI and helping enterprises convert AI ambition into business outcomes.
Amit Kapur, Chief AI & Services Transformation Officer
Agents, workflows and apps for your business processes
Agents, workflows and apps serve different parts of a business process. An agent investigates and acts, a workflow coordinates execution and approvals, and an app gives employees a way to use these systems.
Studio brings all three together on shared infrastructure. You start with a model like Le Chonk and connect it to your enterprise data and systems through connectors and MCP servers. That foundation lets you easily build agents, workflows and apps with access to the context they need. Studio manages how they run and lets teams inspect what happened.
Through the new Mistral MCP server, developers can build with Mistral Vibe or the coding agent they already use, test locally and deploy to their Studio environment with one command. Studio handles hosting and execution, so teams can build on that foundation to get each new use case into production faster.
Build managed agents that investigate and act
In Studio, developers can now build agents that carry out complex, multi-step tasks. Developers can equip them with skills that capture the team’s procedures, sandboxes where they can run code, and subagents to delegate parts of a task. Hooks let developers add custom logic at key points in execution, shaping how the agent works and integrates with existing systems.
Studio manages the runtime behind all that work, using the proven infrastructure that supports millions of Mistral Vibe sessions each week. Developers can focus on the agent’s capabilities and behaviour, while setting boundaries on the tools, data and actions it can access. That means getting capable agents into production faster, with less infrastructure to build and more control over how your agents operate.
Our engineering team built an agent in Studio to investigate production incidents. When an alert fires, engineers need to work out what happened, often under pressure to resolve the issue. The agent starts the investigation: it follows the team’s runbook, asks for approval before taking sensitive actions and posts its findings in Slack. Engineers pick up the investigation with useful context already gathered, saving the team hundreds of hours each month.
Automate processes with workflows
Workflows define how a process runs: which steps follow fixed rules, where an agent reasons and when a person decides. Interrupted runs can resume where they left off. Teams can describe a process in Mistral Vibe and use it to generate, test and deploy a workflow, with code they can inspect and edit. Today’s release also adds event triggers from enterprise systems and a visual graph that makes each workflow’s logic easier to inspect.
Our product operations team built a workflow in Studio to sort ideas from internal teams and feedback from customers. Routing each submission to the right people is one of the team’s routine tasks, but one that takes time. A model identifies bugs and feature requests, then routing rules send them to the appropriate team. This saves the product operations team about 35 hours a week.
Build apps ready for enterprise use
Coding agents make it easy to build an application, but putting it to work across an enterprise means meeting requirements for security, access and reliability. Studio provides hosting, authentication and access controls, helping developers get applications ready for enterprise use faster. Teams can build with pre-approved, reusable components, reducing the amount of new code that needs security review.
These applications can use agents and workflows, retrieve enterprise documents through search indexes and access shared context in Studio. Developers can test locally, then deploy with one command to make the application available at its own link or inside Mistral Vibe.
Our Applied AI team, which helps customers build AI solutions, built a staffing app in Studio. Previously, staffing a project meant manually matching team profiles and past experience against requirements spread across documents and tools.
The app uses an agent to recommend people and explain how their experience fits the project. Staffing leads get a shortlist with supporting evidence ready to review, helping Mistral assemble teams faster and uncover expertise that might otherwise be overlooked when staffing complex customer AI projects.
Each use case leaves the enterprise better equipped to build the next. More engineering effort goes into improving operations, with less time spent rebuilding the infrastructure around them.
Keep your AI sovereign
Studio gives you control over where your AI runs, how it operates and the intelligence you build. Deploy both the models and the platform in your own cloud, VPC or on-premises environment. You can also use Mistral-hosted deployments or combine environments to meet your requirements. Sensitive data and the processes built around it can stay within your perimeter.
You choose the models, govern access to data and tools, and decide which actions require human approval. OpenTelemetry traces show each step of a run, including model calls, tool use and approvals, so your teams can see where a process slows down or fails. Evaluations let them test changes to prompts, models or tools against your own datasets before release. Those traces and evaluations remain theirs, preserving the operational knowledge they build through use.
Customers are already putting this into practice with systems built alongside our Solutions team. From penetration testing to KYC onboarding, they’re bringing AI into critical operations while keeping sensitive data and specialist knowledge under their control.
Get started
Choose a process your team wants to improve and put Le Chonk to work in Studio.
Explore interactive demos and enterprise use cases, or read the release notes for the full list of updates.
For an enterprise rollout or a business-critical implementation, talk to our team about what you want to automate and where it needs to run.
Studio