OpenAI Codex users can now monitor their AI coding assistant's performance by integrating OpenTelemetry with SigNoz, enabling the export of traces and logs for observability. The setup requires a SigN…
The OpenTelemetry Collector can be packaged as a Lambda container image and fronted with a Function URL, enabling intermittent telemetry processing at near-zero cost. The architecture uses the AWS Lam…
Phoenix, an open-source AI observability project, crossed 10,000 GitHub stars after growing from a Jupyter notebook extension in 2023 into a widely adopted platform for monitoring AI applications. The…
Intencion launched a product analytics tool designed specifically for AI agents in production, capturing every user interaction end-to-end including intent, agent steps, and outcomes. The tool install…
A developer built a cost-attribution system for LLM usage by tagging every gateway span with `team.id`, `project.id`, and `feature.id` alongside OpenInference token-count attributes, shipping those sp…
Researchers have developed FORGE, a multi-agent system that bridges vulnerability exploitation, prioritization, and detection rule engineering by using graduated exploitation depth. The system achieve…
Lookspan launched a local-first observability dashboard for AI agents that runs entirely on the user's machine with zero cloud dependency. The open-source tool ingests trace data via HTTP, MCP, OpenTe…
Agent observability requires instrumenting an agent's reasoning as first-class telemetry before production, not as an afterthought dashboard. Teams need structured tool call logging, trace context pro…
OpenTelemetry, an open-source observability framework, is being adopted to monitor non-deterministic outputs and performance issues in LLM-based applications. The technology addresses challenges like …
Microsoft has built an optimization loop for AI agents that automates the process of fixing quality failures without causing regressions, addressing a key operational challenge teams face when running…
SigNoz, an OpenTelemetry-native APM platform, now offers a Datadog-style UI, a dashboard migrator, and Datadog Receiver support to help teams migrate off Datadog's proprietary `dd-trace` library. `dd-…
SigNoz's self-hosted/community edition does not use ingestion keys, requiring users to control their own OpenTelemetry pipeline and endpoints. The platform accepts OTLP data via gRPC on port 4317 or H…
Google has released a guide for setting up observability and monitoring for its Agent Development Kit (ADK) using OpenTelemetry, enabling developers to capture traces, logs, and metrics from AI agent …
OpenTelemetry (OTel) has become the second most active project in the Cloud Native Computing Foundation by standardizing how applications generate and transmit telemetry data across traces, metrics, a…
SigNoz has released a guide for setting up OpenRouter observability using OpenTelemetry, enabling developers to track LLM API requests, latency, and usage across multiple models in unified dashboards.…
SigNoz has released a new guide for monitoring DeepSeek API calls using OpenTelemetry, enabling developers to track model latency, error rates, and token usage in unified dashboards. The integration a…
The apcore project has introduced "Thought Spans," a new OpenTelemetry-based tracing system that captures AI reasoning steps alongside traditional system performance data. By wrapping each AI agent ex…
OpenTelemetry, the vendor-neutral CNCF specification for observability data, is revealing significant gaps in monitoring AI agents and RAG applications, according to a DevOps.com report. Traditional l…
A developer built TraceGuard, a lightweight Python library and CLI that functions as an execution flight recorder for autonomous agent runtimes. The tool detects three common failure modes in agentic …
ClickHouse announced three major observability updates at its Open House event: ClickStack Cloud in private preview, AI Notebooks in beta, and a new ClickStack MCP server. ClickStack Cloud is a fully …