# Session Shape Status: **v1.0** — 2026-07-31, from CB-WP-0003 T04. Instrument: `make cost` ([CostAccounting.md](CostAccounting.md)). How to shape an agentic session so it does not cost more than the work is worth. **Every claim here carries the measurement it rests on.** This spec exists because the numbers were surprising and because the advice this task was created to give turned out to be wrong. --- ## 1. The cost model ```text cost ≈ Σ over turns ( context_size × cache_read_rate ) + output + cache writes ``` Measured on the CB-WP-0001 pass: **88.0% of spend is cache, 11.9% is output**, at 249:1 cache-read tokens to output tokens. Cost is driven by **how much context is re-read per turn**, not by how much the model writes. Marginal cost of one turn, at the Opus cache-read rate ($0.50/M): | context | $/turn | |---|---| | 20,000 | $0.010 | | 50,000 | $0.025 | | 100,000 | $0.050 | | 200,000 | $0.100 | | 400,000 | $0.200 | | 540,000 | $0.270 | > **SS-01.** A turn's cost is a function of context size alone, to within > ~12%. Optimizing output length is not a cost lever; optimizing context is. ## 2. Compaction is the primary control **The original premise of this spec was wrong and is recorded rather than deleted.** CB-WP-0003 T04 was written to prescribe *one task per session*, on the theory that mean context grows with turn count and long sessions are therefore quadratic. Measured: | segment | turns | mean context | total | $/turn | |---|---|---|---|---| | start → compact 1 | 136 | 304,178 | $62.19 | **$0.457** | | compact 1 → compact 2 | 202 | 193,493 | $30.01 | **$0.149** | The 202 turns *after* the first compaction cost less than half the 136 before it. Sessions are **bounded-quadratic**: context grows between compactions and resets at each one. Compaction events, read from `compactMetadata` in the transcript: | | pre | post | reduction | duration | |---|---|---|---|---| | C1 | 542,991 | 19,974 | **27×** | 151 s | | C2 | 344,954 | 19,035 | **18×** | 97 s | > **SS-02.** The failure mode is a long **uncompacted** session, not a long > session. Turn count is not the variable to control; context is. ### 2.1 When compaction pays A compaction costs its own summarization call plus one cache re-establishment. The re-establishment is measurable — the first post-compact turn wrote 36,149 cache tokens and cost **$0.382**. The summarization call itself does **not** appear in the transcript's `usage` records, so it is bounded rather than measured: at worst it is one full read of the pre-compaction context (543k tokens ≈ $2.72 at the uncached Opus input rate), at best a cache read of the same (≈ $0.27). Savings are immediate and permanent: dropping from 543k to 20k context saves **$0.262 per subsequent turn**. > **SS-03.** Break-even is **2–11 turns** depending on where the > summarization call falls in that range. Any session expecting more than > ~11 further turns should compact. In practice this means: **compact > whenever context exceeds ~300k and work remains.** Measured context distribution across the CB-WP-0001 session shows how much was spent above that line — p75 was 308,325 and p90 was 481,722, so roughly a quarter of all turns ran at more than 2× the recommended ceiling. | percentile | context | |---|---| | p50 | 156,771 | | p75 | 308,325 | | p90 | 481,722 | | p99 | 553,252 | ## 3. Fresh session vs compaction A fresh session is **not** free, and this is the measurement that overturned the original advice. Cold-start context floors, measured over the first 20 turns of each session: | session | start type | mean context, first 20 turns | cost | |---|---|---|---| | `8cbd5701` | cold (system + CLAUDE.md + orientation) | 50,872 | $2.17 | | `f1eb1147` | seeded by a compact summary | 65,819 | $1.90 | A cold session starts ~51k and must then **re-read the committed artifacts** to become productive — the survey, the spec, the ADR — which is exactly the context a compaction summary already contains. A compact-seeded session starts ~66k with that reading already done. > **SS-04.** Prefer compaction over a fresh session for continuing work. > A fresh session's lower floor (51k vs 66k) is repaid within the first few > turns of re-reading artifacts the summary already held. > > Prefer a fresh session when the *task changes*, because then the prior > context is not an asset — it is 66k of irrelevance re-read every turn. ## 4. Batching > **SS-05.** Independent tool calls in one turn cost nothing extra: a turn > is billed for its context regardless of how many tool calls it carries. > Two calls in one turn cost half of two calls in two turns. Measured batching rate: | session | responses w/ tool calls | tool calls | responses batching ≥2 | calls in batched turns | |---|---|---|---|---| | `8cbd5701` | 361 | 406 | 31 (8.6%) | 76 (18.7%) | | `f1eb1147` | 146 | 158 | 12 (8.2%) | 24 (15.2%) | | pinned at `fc76445`, all transcripts (instrument) | 322 | 362 | 25 (7.8%) | 65 (18.0%) | **Correction to a prior claim.** CB-WP-0001's retrospective and the first draft of CB-WP-0003 T04 both stated *"0 of 330 tool calls were batched"*. That is wrong: 330 was the count of responses making exactly **one** call, not the total number of calls. The real figure is 7.8–8.6% of responses and 18.0–18.7% of calls, depending on the window. The claim was never re-derived before being carried into a workplan — the failure mode InnerLoop v1.1 rule 13 exists for, and the **eighth** recorded error instance, in the trusted-arithmetic class that `history/260731-inner-loop-rule-audit.md` identified as having no executable defence. ### Correction (CB-WP-0013 T01): SH-3 was never read as measured **Six evidence files quote `SH-3 0.0%`, and none of them measured it.** `cb-cost --shape-budget` reports the window **since the last commit**, and it is read while writing the evidence file — immediately *after* a commit, when that window holds one or two responses. SH-1 and SH-2 are location statistics and survive a sample of two. SH-3 is a **rate**, and at n=2 its only possible values are 0%, 50% and 100%. One window, three metrics, and it is only wrong for one of them. Measured over real per-pass windows instead: | window since | responses | SH-3 | |---|---:|---:| | `0d2ab22` | 115 | 6.2% | | `6fb0aea` | 113 | 6.3% | | `331e7e9` | 95 | 1.1% | | `c5fa610` | 74 | 1.4% | | `883b608` | 70 | 1.4% | | `84d6886` | 24 | 4.3% | The substantive claim survives — SH-3 is badly unmet — but the constant 0.0% hid something the real numbers show: against the **7.8–8.6%** pinned above, **batching has got worse**, and a metric frozen at a constant could not have shown a trend at all. Six passes reported a breach and the breach was moving underneath them. **This is the ninth recorded instance of the trusted-arithmetic class, and the second in this same metric** — the eighth is the `0 of 330 tool calls` figure corrected immediately above. SH-3 is the number this project keeps getting wrong, which is itself a reason to doubt the metric rather than the behaviour (§SH-3 disposition). **The fix**, `cb-cost.py` `sh3_line()`: below a minimum sample the tool prints `insufficient sample` and no verdict. The floor is derived, not round — if the true rate were exactly the 20% target, the chance of seeing zero batched turns in `n` responses is `0.8^n`; at **n = 14** that is 4.4%, so "0 batched in 14" rules out a target-meeting rate at ~95%. Below that the tool has nothing to say and now says so. At an 8.6% batching rate there is real headroom, but the saving is bounded: eliminating every avoidable single-call turn would remove at most a few percent of turns, worth roughly $2–4 on a $93 pass. **Batch because it is free, not because it is the lever.** The lever is §2. ## 5. What this spec does not support - **n = 2 sessions, one repo, one model mix.** Every ratio here is from CB-WP-0001/0002 and should be re-measured before being treated as general. - **The compaction summarization call is bounded, not measured.** SS-03's 2–11 turn break-even is a range because of it. Narrowing it requires a cost source that sees non-transcript calls — the billing API (CB-RES-0002 C4), which needs an admin key this machine does not have. - **Context size is read as `cache_read_input_tokens`**, which is the cached prefix, not the full prompt. On a cache miss the true context is larger and the turn costs 10× more. Cache misses were not isolated in this measurement. - **No claim about quality.** Compaction discards detail. Every number here says compaction is cheaper; none says the work is as good. A pass that compacts and then repeats work it forgot has not saved anything, and this spec cannot detect that. ## 6. Acceptance metrics | ID | Metric | Target | Measured (pinned `fc76445`) | Verdict | Instrument | |---|---|---|---|---|---| | SH-1 | mean context per turn | ≤ 200,000 | **232,982** | **unmet** | `make cost-pin` | | SH-2 | p90 context per turn | ≤ 300,000 | **492,042** | **unmet** | `make cost-pin` | | SH-3 | batching rate (responses with ≥2 tool calls) | ≥ 20% | **7.8%** | **unmet** | `make cost-pin` | `cb-cost` emits all three (`session shape` block), so these are ratified under InnerLoop v1.1 rather than hand-derived. Supporting counts from the same run: **362 tool calls in 322 responses, 65 of them in batched turns.** **All three targets are unmet, and that is the finding, not a defect in the targets.** Per the loop's definition of done, an unmet metric is an output: - SH-1/SH-2 are unmet because CB-WP-0001 ran 136 turns before its first compaction. §2 is the remedy and it is now written down. - SH-3 is set above the measured rate deliberately. Whether 20% is reachable or arbitrary is unknown until a pass tries; the first pass that reports it will say. It is the cheapest of the three to move, and the least valuable — §4 puts the ceiling at $2–4 on a $93 pass. Targets are **not** being retargeted to match the measurement. That is the structure CB-WP-0003 T07 exists to prevent, and doing it here — in the commit that first measures them — would be the exact defect.