SigNoz's Traces Explorer page offers developers four views — List View, Traces View, Time Series View, and Table View — for filtering, examining, and analyzing traces, where each trace is composed of …
SigNoz has added an AI Observability section that reads OpenTelemetry GenAI attributes on spans to report LLM cost, token usage, latency, errors, time to first token (TTFT), and tool calls. The Overvi…
SigNoz documented the Explorer tab of its AI Observability product, a query interface where users write filters on LLM and AI trace data and view results in four views: Trace View, List View, Time Ser…
SigNoz's AI Observability feature requires spans to carry specific OpenTelemetry GenAI semantic convention attributes, including gen_ai.request.model, gen_ai.provider.name, gen_ai.usage.input_tokens, …
SigNoz's AI Observability feature lets teams set per-model token prices so it can calculate the USD cost of each span, with SigNoz Cloud shipping default prices for common models while self-hosted Sig…
SigNoz's AI Observability feature now lets Admins remap LLM, agent, and tool span attributes to OpenTelemetry GenAI semantic convention names through an Attribute Mapping tab, with default groups gen_…
SigNoz released v0.143.0, which requires self-hosted users to run signoz-otel-collector v0.144.11 with two new processors added to the traces pipeline for AI observability, and moves login sessions to…
SigNoz published a guide for monitoring self-hosted vLLM inference servers by sending Prometheus metrics and OpenTelemetry request traces to SigNoz. The guide has operators scrape vLLM's /metrics endp…
SigNoz published a vLLM monitoring dashboard that tracks token throughput, latency, and KV cache usage for self-hosted vLLM inference servers, requiring SigNoz v0.135.0 or newer and the V2 dashboard s…
SigNoz published a guide for monitoring self-hosted SGLang inference servers by sending Prometheus metrics and OpenTelemetry request traces to its observability platform. The setup requires launching …
SigNoz supports LLM observability through OpenTelemetry rather than a proprietary agent, with integrations covering 55 model providers, agent frameworks, and gateways. Applications emit gen_ai.* spans…
E2B sandboxes can be monitored and traced with OpenTelemetry by instrumenting the application that creates them, according to a technical guide from SigNoz. The guide details five telemetry paths — ap…
SigNoz published a guide for exporting telemetry from Meta Muse Code, Meta's terminal coding agent powered by the Muse Spark model family, to SigNoz using OpenTelemetry. Because Muse Code's built-in O…
SigNoz published a guide for monitoring Meta's Muse Spark reasoning model family through the OpenAI-compatible Meta Model API using standard OpenTelemetry instrumentation, with the model muse-spark-1.…
SigNoz released a Meta Muse Spark dashboard that tracks cost, token spend, prompt cache effectiveness, latency, and finish reasons for Meta Model API calls, requiring SigNoz v0.135.0 or newer and the …
SigNoz has published a guide for monitoring Modal functions and Sandboxes with OpenTelemetry, detailing three non-overlapping telemetry paths: the Modal OpenTelemetry integration for workspace-wide lo…
Daytona, the AI code execution platform, has published a guide for monitoring AI-generated code running in its sandboxes using OpenTelemetry and SigNoz, detailing four non-overlapping telemetry paths:…
SigNoz released a new dashboard for Antigravity CLI that reconstructs agent activity and per-session costs from hook telemetry, addressing the tool's lack of built-in records. The dashboard, which req…
Google's Antigravity CLI, the successor to Gemini CLI, lacks a built-in OpenTelemetry exporter, prompting a guide to monitor its agent loop using SigNoz and a custom hook script that converts tool com…
SigNoz announced support for monitoring Cline, an open-source AI coding agent for VS Code, using OpenTelemetry to track token spend and cost by model and developer. The integration, requiring Cline v4…