Using Cloudflare AI Gateway patchLog to Grow LLM Evaluation Logs
A small experiment on adding feedback, score, and metadata back to Cloudflare AI Gateway logs so LLM request logs can become the start of an evaluation loop.
Category
AgentOps
Saving Eve Eval Failures to Langfuse Datasets to Improve Evaluation Criteria
A validation note on sending a failed Eve weather-tool eval to Langfuse, comparing the failed run with a revised run, and improving the evaluation criteria.
Making Your Blog Readable by AI Agents: AIO with llms.txt and MCP Server
Making a personal blog discoverable by AI agents as Perplexity and ChatGPT replace traditional search. Implementation of AIO (AI Optimization) with llms.txt, JSON API, and MCP Server design—decision criteria for a 46-post blog.
Reassessing My Morning Briefing Worker Now That Langfuse Monitors Has Arrived
I compare Langfuse Monitors with my custom Slack morning briefing worker to figure out which responsibilities should move to the official feature and which should stay custom.
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.
I Want to Build a Langfuse Morning Briefing That Pushes Only 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.
How Much of Your LLM Traffic Can Cloudflare AI Gateway Actually Log?
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.