Code

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Runnable companion code for articles published on mpiv.ai/blog covering AI agent infrastructure (LiteLLM proxy, agent observability, eval pipelines, model gateways).

Python

Loop-discipline patterns for Claude Code: Stop hooks with evidence files, three skills mapped to common failure modes, and reference samples for structured shell, structured tests, and prompt caching.

Python

Methodology and tooling for auditing your own Claude Code session logs. Schema, ingest pipeline, analyses, and LLM-assisted verification-debt audit.

Pythonagentic-aianthropicclaude