#observability
9 posts
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Instrument Your AI Agent, Then Find Where the Money Goes
Patch your provider client in one line so the TokenJam SDK captures every LLM call to a local, on-disk trace, then run local analyzers that turn those traces into priced savings across your self-built agent.
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Why Subagent Token Counts Are Wrong (and How to Fix Them)
Popular usage tools miscount subagent tokens by replaying the parent thread for each one, and here is how to reconstruct accurate per-subagent attribution from the raw JSONL.
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Reddit is 40% of your agent's retrieval surface
What 150K LLM citations tell builders about prompt-time grounding, eval coverage, and the source biases their agents inherit by default.
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Claude Code OTel Telemetry: What Cursor and /cost Won't Show
Claude Code emits real OpenTelemetry spans; Cursor and /cost don't. See what the OTel wire exposes and the failure modes the built-in views miss.
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LangSmith Cost in 2026: Real TCO vs Self-Hosted Alternatives
LangSmith's $39/seat sticker runs ~10.7x that in real TCO. A sourced teardown vs Langfuse self-host and a local-first DuckDB alternative, with real numbers and config.
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How to Monitor Claude Code with OTel (Before a $1,700 Bill)
Monitor Claude Code on your laptop in 5 steps: enable Anthropic's OTel telemetry, store spans locally, and alert on retry loops while the agent still runs.
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AI Agent Drift Detection: Catch It Before Your Rules Decay
AI agent drift detection with no embedding model: Z-scores on tokens, duration, and tool counts plus Jaccard on tool sequences, run over your own sessions.
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What is OpenTelemetry, and why does it matter for AI agents?
OpenTelemetry, OTLP, and the GenAI semantic conventions: how the CNCF observability standard is becoming the lingua franca for AI agent telemetry.
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What is agent observability?
How AI agent observability works: capturing tool calls, token costs, traces, and behavioral patterns at production scale.