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Native Observability & Alerts for Your OpenClaw with Opik
OpenClaw is all the rage, but users want telemetry, observability, and peace of mind to better understand the inner workings…
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Announcing the Opik Claude Code Plugin: Automatically Configure Observability for Complex Agentic Systems
Agent observability shouldn’t be a side project. But in practice, it is. When teams have to choose between shipping features…
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Opik Release Highlights: Prompt Optimization Studio, SDK Upgrades & Multimodal Support
This month’s Opik releases strengthen the connection between experimentation, evaluation, and measurable performance with the launch of the Optimization Studio,…
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Optimizing AI IDEs at Scale
Using AI development tools at scale comes with real overhead for every engineer. It’s an additional cost layered on top…
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Comet Recognized in 2026 Gartner® Market Guide for AI Evaluation and Observability Platforms
We are excited to announce that Comet has been included as a Representative Vendor in the Gartner Market Guide for…
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Opik Release Highlights: Build Custom AI Observability Dashboards, Auto-Optimize for Cost & Latency
With each new Opik release, another component of fully automated agent optimization comes to life. Now, when you give the…
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Opik Release Highlights: Real-Time Alerts, No-Code Evaluation, & Generative Prompt Tools
As LLM applications and agents scale, visibility and iteration speed matter more than ever. This month’s Opik updates close the…
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Opik Release Highlights: GEPA Agent Optimization, MCP Tool-Calling, and Automated Trace Analysis
As AI agents and LLM applications grow more powerful and complex, this month’s Opik updates integrate leading-edge technologies to help…
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Release Highlights: Extensive Model Support, New Quick-Start Options & Simplified Insight Detection
Building and scaling GenAI applications involves numerous moving parts, from logging your first LLM trace to managing experiments across complex…
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Major Releases: Auto-Optimize Multi-Step Agents, Annotate & Score Entire Chatbot Convos
When multiple steps in an agentic system are contextually related, logging and evaluating individual LLM calls doesn’t tell the whole…













