logging

Tare is an open-source tool that lets Claude Code users analyze their token usage by reading logs and answering questions in plain English, helping diagnose and optimize quota consumption.

This article explains what a syslog server is, detailing its role in collecting and managing log data from network devices.

The author describes a challenge with AI auditability where an agent's decision lacked traceability to the active policy version, and asks for advice on building effective decision trails for AI agent decisions.

The article discusses the challenge of verifying AI agent actions and advocates for immutable receipts to ensure trust and distinguish between bad decisions and non-existent ones.

A single log line can cause systemd-journald to write 49KB+ on ext4 and 110KB+ on btrfs due to disk write amplification, highlighting a significant performance issue in systemd's logging subsystem.

Inferock Bench is a tool that provides independent receipts for every LLM API call, helping developers track and manage their API usage.

A developer recounts a three-week production bug where a regex with a literal backspace character silently disabled a language-detection guardrail, making the LLM appear flaky. The post highlights the need to instrument deterministic guardrails to distinguish them from model nondeterminism.

LLM 0.32 adds visible reasoning traces, server-side tools, new GPT-5.6 models, and redesigned logging, plus a new llm openai endpoint command for any OpenAI-compatible endpoint.

The article recounts an incident where an AI assistant wrongly confirmed a service, and troubleshooting revealed that knowledge base retrievals weren't logged, making it impossible to attribute answers to retrieved context. It emphasizes the need for turn-attributable retrieval logging for grounding verification.

OpenRouter introduces Classifiers in beta, allowing users to tag and filter inference logs by custom dimensions without added latency.

A practitioner details the real-world challenges of audit, compliance, and governance for autonomous AI agents, including identity, approvals, logging, and accountability, while asking the community for solutions.

Built Trovis, a tool that records and explains agent actions in production, showing deviations from expected behavior.

Discusses the debate on whether libraries should log errors themselves or propagate them to the calling application, highlighting differing practices across ecosystems like Go's slog.

A discussion on the emerging security challenges when AI agents can take real actions (e.g., update records, call APIs) rather than just generate text, exploring needed infrastructure like scoped identities, policy layers, and action logging.

Trovis is a plugin for OpenClaw that records all agent actions, costs, and deviations, presenting them in plain English for better observability.

This article explains how to implement logging to the console in Game Boy Advance development using mGBA's custom memory-mapped registers, allowing printf-style debugging via the emulator's log window or terminal.

The article argues that ClickHouse has become the dominant database for observability due to its performance handling high-volume, time-ordered logs, solving long-standing log management challenges.

agent-pd is an open-source logging and monitoring tool for Claude Code agents that records all tool and permission events and replays them through deterministic detectors to catch rule violations, without blocking any actions.

DockLog is a tool that simplifies Docker logs without requiring a full logging stack.

A logging hook and CLI tool that records all tool calls and permission events from Claude Code agents into a session log, then replays the log to audit for misbehavior like unauthorized file reads or permission escalation. It is a catch-and-report flight recorder, not a blocker.