Month: 2026-04. Focused on delivering observability capabilities for the Mistral framework in the mistralai/cookbook repository. Key deliverables include two new cookbooks under mistral/observability: llm_judge_campaign_workflow.ipynb to run campaigns with LLM judges for classifying agent behaviors, and manage_datasets.ipynb to create and manage evaluation/fine-tuning datasets. These tools enable ongoing monitoring, evaluation, and improvement of AI agent performance. The work was implemented via commit 192fe499d54db4bab4a0f288e6f7f63589a7a338 with the descriptive message “feat(obs): add observability cookbooks”. No major bugs reported or fixed this month; the focus was on feature delivery and establishing a foundation for data-driven improvements. Technologies and skills demonstrated include notebook-based tooling, Mistral framework observability, dataset management, and experimentation workflows with LLMs.