Building a Langfuse Morning Briefing for Slack
A practical experiment that aggregates Langfuse traces in a Cloudflare Worker and sends only token, cost, and latency anomalies to Slack.
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A practical experiment that aggregates Langfuse traces in a Cloudflare Worker and sends only token, cost, and latency anomalies to Slack.
Manually checking traces every day is unsustainable. A personal GenAIOps plan to aggregate Langfuse failures, token spikes, and low-score outputs into a single Slack morning briefing.
I explain why output quality stays unstable even with careful prompt design, and how I switched to a generate-evaluate-feedback-regenerate loop. Includes the smallest manual steps to start today.
Using Cloudflare AI Gateway as an OpenAI-compatible endpoint, I walk through its logging, payload controls, metadata, cost estimation, and OTel integration to see how far it can serve as an entry point for LLM observability.
The minimum steps to start using Cloudflare AI Gateway from Workers AI, and what to understand about its role, settings, and checkpoints before moving to the OpenAI-compatible API.
As tools like Claude Code and Codex accelerate code generation, the scope of what engineers must design expands from the code itself to problems, constraints, operations, and validation.
How old automation failures — batch jobs, notification bots, admin UIs, outdated runbooks — raise the same questions for AI agent operations.
Why I moved from Field Ops Notes to Tsurezure Agent OPS — a space for operations, automation, and AI agent topics, rooted in small daily frictions.