Pydantic AI Dashboard
SigNoz released a new Pydantic AI dashboard that monitors token consumption, error rates, request volumes, latency, model distribution, and service adoption, using OpenTelemetry and the V2 dashboard s…
SigNoz released a new Pydantic AI dashboard that monitors token consumption, error rates, request volumes, latency, model distribution, and service adoption, using OpenTelemetry and the V2 dashboard s…
SigNoz released a Temporal AI Agents Dashboard for monitoring AI agent workloads on Temporal, tracking LLM usage, agent performance, application health, and Temporal Cloud infrastructure metrics. The …
SigNoz released a Semantic Kernel dashboard that monitors token usage, error rates, latency, and model distribution for applications using Microsoft's Semantic Kernel, requiring SigNoz v0.135.0 or new…
A developer built RestaurantOS AI, an observable multi-agent restaurant operating system using OpenTelemetry, SigNoz, Prisma, and a multi-agent architecture. The system coordinates five specialized AI…
A developer built TattvaAI, an AI-powered incident investigation platform that uses six specialized agents to autonomously analyze production incidents. The system, built for the SigNoz 'Agents of Sig…
A developer's refund agent shipped v2 with identical output to v1, but the execution trajectory was wrong: the fraud check was skipped and the payment was refunded twice, costing $96.40 instead of $48…
A hidden cost in AI model pricing—'reasoning tokens'—can make a supposedly cheaper model up to 15 times more expensive per useful output token, according to a prompt engineering analysis. In one evalu…
A developer using the otel-swarm library to trace multi-agent LLM deployments reports that overwriting the gen_ai.request.model attribute during fallback promotions corrupted analytics, attributing pr…
SigNoz's open-source LLM observability features (v0.133.0+) require two specific environment variables to be set simultaneously to bypass silent configuration hurdles that prevent dashboards from load…
SigNoz v0.133.0 was deployed via Foundry for AI agent observability, but a developer discovered that the OpenInference instrumentation used by openinference-instrumentation-agno does not follow the st…
A developer built an AI agent system that automatically switches to a backup AI model if the main one fails, with every step connected to SigNoz for request tracking, performance monitoring, and failu…
A developer built AI agents that investigate production incidents using TattvaAI and SigNoz. The agents automatically analyze logs, metrics, and traces to identify root causes, reducing mean time to r…
A developer built ArcNet on self-hosted SigNoz during the Agents of SigNoz hackathon to monitor AI agent fleets. The project uses Agno for agents, OpenTelemetry instrumentation, and guardrails from un…
A developer building Punchline Ops, an AI meme generator, discovered that HTTP 200 responses can hide invalid artifacts when storage returns success but the stored bytes don't match the promised forma…
A developer built Zooid, a custom OpenTelemetry instrumentation layer that traces streaming Voice AI, tracks FinOps token costs, and visualizes everything natively in SigNoz. The project addresses the…
A developer extracted OpenTelemetry instrumentation from DevSwarm into an MIT library called otel-swarm, which traces multi-agent LLM systems with a single createSwarm() call and three verbs: task(), …
SigNoz's LLM observability feature, shipped in v0.133.0, is nearly unreachable due to three silent configuration gates and a bug that prevents processors from being wired into pipelines. A hackathon t…
A developer has built Nights Watch, a runtime resilience layer for AI agents that uses a local SQLite checkpoint manager for rollbacks and SigNoz for decision support, ensuring the system degrades gra…
A developer built Nights Watch, a runtime resilience layer for AI agents that detects when an agent drifts from its plan, explains why, and automatically recovers. The system uses SigNoz for real-time…
A new open-source tool called TraceGate enforces observability contracts for LLM agents, blocking deployments that fail to meet predefined telemetry requirements such as latency, cost, and retry budge…