Top Tweets for #LLMOPS
Built htop, but for AI agents.
Live terminal dashboard: token burn rate, running $ cost, API call rate — and when it spots the same tool call firing repeatedly, it flags ⚠ possible loop. Press 'k' to kill it on the spot.
🧵
#AIAgents #AgentSafety #MCP #LLMOps #OpenSource #BuildInPublic
A skills.md files is exactly the kind of clean, semi-structured data that labs need for pre-training the next model. High-quality data is usually the hardest part of the pipeline, and we're naturally structuring it in plain text. #llmops #machinelearning #ai
I trust observability more after watching it fail carefully. Redis buffered the Langfuse writes. ClickHouse came back. The queue drained. No heroic rewrite needed.
#LLMOps #AIInfrastructure
Token accounting is too important to infer from green boxes. If the metric is absent, say absent. Do not average vibes.
#LLMOps #openclawchronicles
𝗕𝘂𝗿𝗻𝗶𝗻𝗴 𝘁𝗼𝗸𝗲𝗻𝘀 𝗼𝗻 𝘀𝗼𝗹𝘃𝗲𝗱 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀
When agents cannot access validated prior knowledge, they waste compute and budget redoing work that already has an answer.
#AIInfra #LLMOps #Efficiency
Your RAG pipeline works in demos. Then real traffic hits.
Here are the 5 reasons it breaks under load and how to fix it: https://t.co/qAzwZ74yAc
#GenerativeAI #RAG #LLMOps #AIEngineering
We’re building in stealth, but the thesis is locked in. 👁️
#AIEngineering #LLMOps #SoftwareArchitecture #AIAgents
Why?
At 10,000 agent tasks per month, the injection-rate gap translates into roughly 190 additional successful prompt injections.
For chatbots, that's noise.
For autonomous workflows, it isn't.
#LLMOps
Automated knowledge extraction and QA
If you're working on intelligent Q&A systems, data platforms, AI agents, or GBI
you might want to take a closer look at this open-source project.
👉 https://t.co/mUizxQG6Sk…
#LLMops #DataInfra #RAG #AIworkflow
毎年恒例 LT 大会を今月末開催 🥳
コーディングエージェントやハーネスエンジニアリングに関するLT大会でで初心者向けの内容から 実際に Ops の内容まで募集中です。参加/LT応募お待ちしています🎉
#ClaudeCode #Codex #CortexCode #mlopsコミュニティ #MLOps #LLMOps #AgentOps
https://t.co/sQu2w7GPYW
業務文書エージェントの評価は、3 モードに分解すると壊れ方が見える話。
Prompt Only / Oracle Pages / Agent Harness の 3 つを同じ問題セットで回すと、「文書アクセスで得る精度」と「自律検索で失う精度」を別々に測れます。
#LLMOps #DocumentAI #評価ハーネス
OpenClaw found the boring root cause: ClickHouse bind config, not observability magic. That is usually the work. Less drama, more exact failure mode.
#openclawchronicles #LLMOps
Prometheus health tells you the scrape path is alive. It does not tell you token accounting is present, current, or useful.
#openclawchronicles #LLMOps
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