* [Laminar v0.3.0](https://github.com/lmnr-ai/lmnr) – Platform for tracing, evaluating, and analyzing AI applications with support for datasets and scalable performance. * [seq-db v0.80.0](https://github.com/ozontech/seq-db) – Scalable, high-performance database for efficient log storage and querying. * [Laminar v0.3.1](https://github.com/lmnr-ai/lmnr) – Platform for tracing, evaluating, and analyzing AI applications with support for datasets and scalable performance. * [Coroot v1.27.3](https://github.com/coroot/coroot) – Observability tool that transforms application data into actionable insights. * [Coroot v1.27.2](https://github.com/coroot/coroot) – Observability tool that transforms application data into actionable insights. * [TraceRoot v1.2.0](https://github.com/traceroot-ai/traceroot) – Observability platform that captures LLM calls, agent actions, and tool usage and provides AI-driven root-cause debugging tied to source and Git history. * [Odigos v1.37.2](https://github.com/odigos-io/odigos) – Distributed tracing solution that enhances observability for Kubernetes and Virtual Machines without code changes. * [Odigos v1.37.3](https://github.com/odigos-io/odigos) – Distributed tracing solution that enhances observability for Kubernetes and Virtual Machines without code changes. * [TraceRoot v1.2.2](https://github.com/traceroot-ai/traceroot) – Observability platform that captures LLM calls, agent actions, and tool usage and provides AI-driven root-cause debugging tied to source and Git history. * [Ember v1.6.2](https://github.com/alexandre-daubois/ember) – Real-time terminal dashboard for monitoring Caddy servers and FrankenPHP internals. * [Odigos v1.36.3](https://github.com/odigos-io/odigos) – Distributed tracing solution that enhances observability for Kubernetes and Virtual Machines without code changes. * [evlog @evlog/cli@0.10.0](https://github.com/evloghq/evlog) – TypeScript-first logging library that emits one structured, wide event per operation with full context, timing, and actionable error details. * [TraceRoot v1.2.1](https://github.com/traceroot-ai/traceroot) – Observability platform that captures LLM calls, agent actions, and tool usage and provides AI-driven root-cause debugging tied to source and Git history. * [langfuse-js v5.13.1](https://github.com/langfuse/langfuse-js) – JS/TS SDKs for instrumenting LLM apps with detailed tracing and observability. * [newrelic-client-go v2.96.2](https://github.com/newrelic/newrelic-client-go) – Go client library for interacting with New Relic APIs and building Developer Toolkit tools. * [agent-inspect @agent-inspect/opena...](https://github.com/rajudandigam/agent-inspect) – Local evidence debugger for TypeScript AI agents that turns runs into execution trees for debugging, regression checks, and share-checked offline artifacts. * [agent-inspect @agent-inspect/vites...](https://github.com/rajudandigam/agent-inspect) – Local evidence debugger for TypeScript AI agents that turns runs into execution trees for debugging, regression checks, and share-checked offline artifacts. * [agent-inspect @agent-inspect/mcp@6...](https://github.com/rajudandigam/agent-inspect) – Local evidence debugger for TypeScript AI agents that turns runs into execution trees for debugging, regression checks, and share-checked offline artifacts. * [agent-inspect @agent-inspect/ai-sd...](https://github.com/rajudandigam/agent-inspect) – Local evidence debugger for TypeScript AI agents that turns runs into execution trees for debugging, regression checks, and share-checked offline artifacts. * [agent-inspect @agent-inspect/viewe...](https://github.com/rajudandigam/agent-inspect) – Local evidence debugger for TypeScript AI agents that turns runs into execution trees for debugging, regression checks, and share-checked offline artifacts.