Privacy DSR Processing with Claude Code: Cost Controls
A production playbook for privacy DSR processing in cross-industry operations using Claude Code: cost controls, run-scoped inputs, logs, typed results, and artifacts.
Audience: Privacy operations teams
The problem
Privacy operations teams need privacy DSR processing to run repeatedly against request forms, identity evidence, data maps, and response templates. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Set explicit limits for privacy DSR processing: input size, run time, tool calls, artifacts, retries, and concurrent runs per organization.
Tradeoffs and failure modes
Limits reject pathological runs, but they keep one workflow from turning into an unbounded infrastructure bill. For privacy DSR processing, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Run limits
max_run_seconds=1800
max_input_bytes=104857600
max_artifact_bytes=104857600
max_tool_calls=120
retry_after_seconds=60
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