{
"$type": "site.standard.document",
"bskyPostRef": {
"cid": "bafyreiawqjlckf5gsy4ogesuckdqjnfpyv653tw2usgl3zt66qn3gxfxne",
"uri": "at://did:plc:gapzbf5nl5wxaqkqoecaeawh/app.bsky.feed.post/3mmzot277dxq2"
},
"coverImage": {
"$type": "blob",
"ref": {
"$link": "bafkreia5pk4tqt4wrzltpfmzqsa2rlxvgy2kim3w2r75gimzemqreijliq"
},
"mimeType": "image/jpeg",
"size": 59527
},
"path": "/why-your-ai-agent-is-a-black-box-and-how-to-fix-it-with-opentelemetry/",
"publishedAt": "2026-05-29T10:19:06.000Z",
"site": "https://devops.com",
"tags": [
"AI",
"Blogs",
"Contributed Content",
"Observability",
"Social - Facebook",
"Social - LinkedIn",
"Social - X",
"AI agents",
"devops",
"observability",
"traces"
],
"textContent": "You built the agent. It works in testing. Then it hits production and starts giving wrong answers, timing out or burning through your token budget, and you have no idea why. This is when developers discover that print statements and log files weren’t designed for this. LLM applications fail in ways that traditional tooling can’t see. A hallucination doesn’t throw […]",
"title": "Why Your AI Agent is a Black Box and How to fix it With OpenTelemetry"
}