Pydantic AI released version 2 of its agent framework, introducing the "capability" primitive that bundles instructions, tools, lifecycle hooks, and model settings into a single composable unit. The u…
Pydantic AI released on-demand capabilities that allow AI models to defer loading instructions, tools, and settings until needed, reducing token costs. The feature, requested by users, uses a `defer_l…
Pydantic has launched a new Metrics Explorer for its Logfire observability platform, designed to help developers quickly find and analyze performance metrics without writing PromQL. The tool uses a th…
Pydantic released a new Hosts view for its Logfire observability platform that correlates host-level metrics (CPU, memory, disk I/O) with trace data in a single interface, enabling developers to diagn…
Pydantic Logfire launched a new Kubernetes cluster view that surfaces pod restart loops, memory limits, and rollout failures from a single page. The feature uses standard OpenTelemetry receivers to ag…