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Agent Tracing and Observability: Log & Debug Complex AI Systems
Your customer service agent correctly retrieved order details, checked your return policy, verified the return window and initiated the return…
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The Best AI Observability Tools for Agentic Systems in 2026
AI applications used to rely on a handful of straightforward LLM calls. Now agents make hundreds of decisions in response…
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LLM Cost Tracking Solution: How to Monitor and Control AI Spend in Agentic Systems
The first sign of trouble isn’t always performance. Sometimes it’s the invoice. Your team ships a new agent that routes…
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Introducing the Opik Agent Playground
In the early stages of agent development, you make big changes to your agent’s code: designing the architecture, integrating tools,…
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Introducing Ollie: Auto-Fix Your Agent’s Codebase
In standard software engineering, developers use proven, repeatable workflows to develop, test, debug, and update software products. They use intelligent…
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Introducing Opik Test Suites: Straightforward Unit & Regression Testing for AI Agents
One of the biggest challenges when it comes to agent development is quality. It’s getting easier every day to spin…
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Multimodal LLM Evaluation: A Developer’s Guide to Multimodal Language Models
Production teams processing billions of product listings, such as Shopify, report that multimodal LLMs analyzing product images alongside metadata can…
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AI Agent Evaluation: Building Reliable Systems Beyond Simple Testing
Your customer service agent routes 2,000 queries daily. During testing, it resolved 85 percent of requests correctly. Three weeks after…
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Axios Supply Chain Attack: What Happened, How We Responded, and What You Should Do Right Now
On March 31, 2026, axios — one of npm most popular packages — was compromised with a remote access trojan.…
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LiteLLM Supply Chain Attack: What Happened, Who’s Affected, and What You Should Do Right Now
LiteLLM — 95 million downloads per month, a dependency of CrewAI, DSPy, Browser-Use, Opik, and nearly every major AI agent…
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Category: LLMOps
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