October 2025 monthly summary for ovh/shai focusing on delivering real-time capabilities, API streaming, enhanced observability, and reliable session management. Key features include OpenAI chat completion with streaming, a simple HTTP API streaming tool for events, refactored agent factory initialization, strict conformance to the simple API, and improved instrumentation. Accompanying fixes and releases (import fixes, dependency upgrades, and version bumps) ensured stability and faster time-to-value for production workloads.

September 2025 focused on delivering the MCP enablement stack, expanding developer tooling, and hardening stability and performance. Key features include MCP core transport and plumbing with agent config, OAuth flow integration for MCP, and new agent examples/configs; major bug fixes improved tooling output and log hygiene; plus CI/platform improvements to enhance reliability and performance.

In July 2025, two major features were delivered for ovh/shai: Release Infrastructure and Build Stability, and CLI UX, Configuration, and Documentation Improvements. The team migrated CI/CD to GitHub Actions, established the initial project structure, added essential config files, and enabled reproducible builds with explicit versioning for releases. The CLI was enhanced with installation/usage guidance, clearer permission prompts, secure XDG-compliant configuration handling, and UI/UX improvements (model list display and terminal text wrapping). Documentation was updated for onboarding and usage guidance. Major UI-related bugs were fixed, including an invisible model in the list. These changes improve release velocity, build reliability, security, and user experience, reducing operational risk and accelerating adoption.

April 2025: Implemented OVHcloud AI Endpoints as a new model provider in continue, expanding deployment options and reducing vendor lock-in. Delivered schema integration, updated model provider lists, and a dedicated OVHcloud LLM class. Wrote end-to-end documentation for using OVHcloud AI Endpoints with chat and embeddings models. No major bugs reported; established a solid baseline for ongoing integrations.