@alibaba_cloud: Root-Cause a "Wrong AI Answer" in 60 Seconds? With OBI, you can pinpoint the root cause in under a minute—without chang…

X AI KOLs Timeline Tools

Summary

Alibaba Cloud's OBI tool enables root-causing wrong AI answers in under 60 seconds without code changes by capturing the full AI execution path at the kernel layer.

Root-Cause a "Wrong AI Answer" in 60 Seconds? With OBI, you can pinpoint the root cause in under a minute—without changing a single line of code. Operating at the kernel layer, OBI automatically captures the entire AI execution path: ꔷ LLM Calls: Model, tokens, and Tool Call parameters. ꔷ Vector Search: Top-K, namespaces, and similarity scores. ꔷ MCP Tools: Tool names, arguments, and execution status. ꔷ SSE Streaming: Event-level tracking for precise TTFT metrics. Stop guessing. Start observing. https://click.alibabacloud.com/m/20000000918/
Original Article
View Cached Full Text

Cached at: 07/29/26, 09:57 AM

Root-Cause a “Wrong AI Answer” in 60 Seconds? With OBI, you can pinpoint the root cause in under a minute—without changing a single line of code. Operating at the kernel layer, OBI automatically captures the entire AI execution path: ꔷ LLM Calls: Model, tokens, and Tool Call parameters. ꔷ Vector Search: Top-K, namespaces, and similarity scores. ꔷ MCP Tools: Tool names, arguments, and execution status. ꔷ SSE Streaming: Event-level tracking for precise TTFT metrics. Stop guessing. Start observing. https://click.alibabacloud.com/m/20000000918/


not found

Source: https://www.alibabacloud.com/en/notfound?_p_lc=1 Hi, I’m Alibaba Cloud AI Assistant!

I can help with questions and solutions.

Similar Articles

AI Agent Intelligence tool - Incident debugging, Cost spike detection

Reddit r/AI_Agents

Building a tool for AI Agent incident debugging and cost spike detection without additional instrumentation, covering issues like prompt injection, reasoning loops, and data exfiltration. Asking if customers in production environments see this as a pain point worth paying for.

A right answer from your agent doesn't mean it did the right thing

Reddit r/AI_Agents

The article discusses the pitfalls of evaluating AI agents solely based on their final answers, emphasizing the importance of inspecting intermediate steps, tool calls, and reasoning to catch confidently wrong outputs. It suggests using automated scoring and trace replays to measure and improve agent behavior.