Backward Causal Chain: Error Stack Traces for Data Quality
When your agent produces a bad answer, you need to know which stage caused it — not just that it happened. causalChain() walks the dependency graph backward to find the root cause.
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Three Operations on Auto-Collected Data: The Recorder Pattern That Saves You $15/1M Tokens
Your agent makes 8 tool calls. The LLM spends 2,500 tokens reasoning across scattered logs to answer one question. With recorder operations, it spends 200.
Pause/Resume: Human-in-the-Loop for Backend Pipelines
Return data from execute to pause. Resume hours later with the human’s answer. No polling, no WebSockets.
Automated Decision Explainability: How Causal Traces Solve GDPR Article 22 and Audit Requirements
GDPR, SOX, and ECOA require you to explain automated decisions. Causal traces from running code solve this structurally.
Auto-Generate MCP Tools from Your Backend Code in One Line
Stop hand-writing tool descriptions. One line generates the MCP tool name, description, and input schema from your flowchart.