Mistral Studio now offers enriched admin controls to govern connector access per workspace and tool, enabling fine-grained permissions. Features include API keys with scopes, multi-account connectors, and a new Connectors Debugger for root cause analysis, all supporting secure, auditable integration with enterprise systems.
New Connector Controls for Enterprise Security and Access
Mistral Studio adds a system of record for versioning and governance of AI prompts and skills
Mistral Studio now provides a centralized system of record for managing AI prompts and skills, addressing the enterprise challenge of scattered and untraceable instructions. This update treats prompts as production assets with immutable versions, clear ownership, and audit logs to ensure governed and compliant AI behavior.
mistral.rs v0.8.10 adds /v1/skills support for local models
mistral.rs v0.8.10 introduces OpenAI-compatible Agent Skills via a /v1/skills endpoint, enabling local models to execute domain-specific instructions and scripts without relying on frontier APIs. The update supports tools like file uploads and downloads via /v1/files and includes prebuilt binaries for Linux, macOS, and Windows.
Google announces Gemini 4 Argon frontier model with 1M token limit
Google has announced Gemini 4 Argon, a new frontier model designed for deep reasoning across complex, long-horizon workflows in software engineering, enterprise knowledge work, and cybersecurity defense. The model is currently being rolled out to trusted cyber defenders through the Fairwind Program while Google engages in a voluntary pre-release process with the U.S. government.
OpenAI introduces Dots agents, GPT-6.1 Sol, and Decisions API
OpenAI has introduced "Dots," AI-driven agents powered by GPT-6 Astra that operate autonomously on a cloud computer and integrate with over 4,000 apps. The company also launched GPT-6.1 Sol, which offers near-Astra intelligence at a fifth of the cost, and made its Decisions API available in limited preview.
Liquid AI releases d1, a decision model returning calibrated probabilities with zero output tokens
Liquid AI has released d1, a decision model designed for structured choices rather than text generation. It accepts context and typed questions, returning calibrated probabilities across fixed outcomes in a single call with zero generated output tokens.