{
  "method": "Where the context of an agent session grew, and what grew it.\n\nRead-only. Stdlib only. Reads Claude Code transcripts (JSONL) and writes a JSON\nresults file and CSV files beside this script.\n\nMethod, kept consistent with\ndocs/governance/obpi-run-cost-2026-10-03-evidence/session_token_cost.py:\none usage record per API call, de-duplicated by message id (first appearance fixes\nthe order, the last row for an id supplies the usage), and\n\n    context = input_tokens + cache_read_input_tokens + cache_creation_input_tokens\n\nMeasured: everything taken from a `usage` record (context, cache-read, output).\nEstimated: every figure derived from a character count (tokens ~ chars / 4).\nProjected: section `projection`, which is arithmetic on the measured curve.\n\nRun from the repository root:\n\n    uv run python docs/governance/context-phase-review-2026-10-04-evidence/context_analysis.py\n",
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          "Same API calls, in the same order, with the same per-call output.",
          "Within a segment each call keeps its measured offset above the segment's entry context.",
          "At each boundary the context becomes a fixed load (55088) + a 20000-token save point = 75088; the pre-pipeline segment is not reset.",
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          "Model switches and idle gaps fall where they fell in the run.",
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