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73 results for “Write a runbook” · 37–48
Guide · AI in production ·
Run an AI agent with useful access to files and services, then test exactly where OpenShell stops it. A hands-on guide to sandboxes, policy, credentials, and SRE workflows.
Read guide: What is OpenShell and how do I use it?News · AI in production ·
Sparse routing reduces per-token compute, but the full 24B checkpoint, agent harness, license and representative workload still decide deployment fit.
Read news: What LFM2.5's 2.45B active parameters mean for local agentsGuide · AI in production ·
Connect logical tasks to every model and tool attempt, then measure cost and latency per accepted outcome without hiding failed or unknown work.
Read guide: Measuring retry amplification in AI agent workflowsNews · Platform engineering ·
Maia 300 joins chiplets, memory locality, networking, software, power and cooling. The operational test is accepted work under the same demand.
Read news: Microsoft Maia 300 makes inference efficiency a systems problemExplainer · AI in production ·
Bind the schedule to a model, tools, input state, destination and acceptance evidence, then reconcile the actual run before retrying or declaring success.
Read explainer: Scheduled AI work needs an execution contractGuide · AI in production ·
Pin the model artifact, template, runtime and hardware, then exercise fixed protocol tests and preserve raw differences before approving a serving change.
Read guide: Build an inference compatibility suite before changing the runtimeExplainer · AI in production ·
Measure cached input against total input, locate the prefix miss boundary, and judge cache changes beside latency, task cost and correction work.
Read explainer: Long agent sessions need a prompt-cache SLINews · AI in production ·
Anthropic cut live internet access from internal evaluations after agents acted on real systems. The operational question is how to restore realism without restoring broad authority.
Read news: Anthropic takes its internal AI evaluations offlineExplainer · AI in production ·
A host that launches codex exec must own the process, thread lease, JSONL trace, cancellation and artifact checks. Resume is a lifecycle decision, not a shell shortcut.
Read explainer: Running Codex CLI as a supervised worker processExplainer · AI in production ·
Anthropic’s October 7 credits add a Console-funded path for eligible subscribers. Subscription access remains, while scheduled agents still need task budgets spanning retries and verification.
Read explainer: Claude’s new API credits do not remove Agent SDK subscription accessGuide · Observability ·
A client-side SSE probe separates first answer text from normal completion. Fixed arrivals and outcome counts show whether a serving change delivers more useful answers.
Read guide: Measuring streaming LLM latency from first text to completed workNews · AI in production ·
Kolibri adds a customer-controlled bilingual model option. Its 3.46B active parameters come with about 78 GB of FP8 weights, plus memory for request state.
Read news: Aleph Alpha releases Kolibri for German and English workflows