spec: multi-subject CodeLlama replication — pipeline anyhow-chain fix + second subject run
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## Multi-subject Authoring-Form Test — CodeLlama Replication — Design Spec
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**Date:** 2026-05-12
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**Status:** Draft — awaiting grounding-check
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**Authors:** Brummel (orchestrator) + Claude
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## Goal
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Extend the single-subject cma baseline to a second foreign LLM
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(CodeLlama via IONOS), n=1 on the same four tasks, to test whether
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the per-cohort token-economy and pass-rate patterns observed with
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Qwen3-Coder-Next reproduce across another model class — or are
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Qwen-specific. While planning this milestone a JSON-cohort feedback
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asymmetry surfaced that was previously mis-attributed to the
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strip_locations regex: harness-side JSON-parse failures get their
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anyhow `Caused by` chain dropped on the way into the model prompt,
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leaving the JSON cohort with the uninformative top-line "parsing
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JSON in /tmp/..." while the AILX cohort sees the full `ail parse`
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diagnostic. Fix that bug first; then run both subjects with the
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fixed harness so the dataset is internally consistent.
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## Architecture
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Two iterations:
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- **ms.1 — pipeline error-formatting fix.** Change
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`experiments/2026-05-12-cross-model-authoring/harness/src/pipeline.rs:118`
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from `format!("check: {e}")` to `format!("check: {e:#}")` so
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anyhow's alternate Display inlines the full cause chain. RED-first:
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a unit test that constructs the same anyhow chain shape the live
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failure produces (a `serde_json::Error` wrapped with the
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`parsing JSON in <path>` context) and asserts the formatted
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output contains both layers. The change is two characters; the
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test is the protection. The strip_locations regex already
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collapses `\nCaused by:` chains, so the alternate-Display form
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(which joins with `: ` inline, no newline) survives stripping
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cleanly — no regex change needed.
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- **ms.2 — Multi-subject run + integration.** Two `harness`
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invocations, both with the fixed pipeline:
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(a) retroactive Qwen3-Coder-Next re-run, so the original four-task
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dataset matches the fixed JSON-feedback behaviour and is
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apples-to-apples with CodeLlama;
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(b) first-ever CodeLlama-class run. Live IONOS catalogue
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(`/v1/models` GET, pre-flighted) names the model
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`meta-llama/CodeLlama-13b-Instruct-hf` — the Instruct-tuned
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HuggingFace mirror of CodeLlama-13b. Both into fresh
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`runs/<date>-<hash>/` directories. Comparative summary written
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into `docs/DESIGN.md` §"Decision 6 / Empirical addendum
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(2026-05-12)" as a follow-up paragraph plus an extended table
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spanning the four (model × cohort) cells. Roadmap P3 entry closed;
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one-line mirror in the iter journal.
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Multi-model orchestration is out of scope: the harness remains
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single-model-per-invocation. Two cargo runs is acceptable for two
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subjects.
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## Components
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ms.1:
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- `experiments/2026-05-12-cross-model-authoring/harness/src/pipeline.rs:118`
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— change `{e}` to `{e:#}` (two-character fix).
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- `experiments/2026-05-12-cross-model-authoring/harness/src/pipeline.rs`
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— add `#[cfg(test)] mod tests` (or extend it if present) with a
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RED→GREEN test for the anyhow-chain formatter.
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ms.2:
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- `experiments/2026-05-12-cross-model-authoring/runs/<new-date>-<qwen-hash>/`
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— populated by Qwen re-run.
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- `experiments/2026-05-12-cross-model-authoring/runs/<new-date>-<codellama-hash>/`
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— populated by CodeLlama run.
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- `docs/DESIGN.md` §"Decision 6 / Empirical addendum (2026-05-12)"
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— extended with one follow-up paragraph and one extended per-cell
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table.
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- `docs/roadmap.md` — P3 "Multi-subject expansion" entry removed.
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- `docs/journals/2026-05-12-iter-ms.1.md`,
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`docs/journals/2026-05-12-iter-ms.2.md`,
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`docs/journals/2026-05-12-audit-ms.md`,
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`docs/journals/INDEX.md` entries.
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## Data flow
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ms.1:
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1. Write a `#[test]` constructing an anyhow chain that mirrors the
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live failure mode: a `serde_json::Error` wrapped with
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`.context(format!("parsing JSON in {path}"))`. Assert
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`format!("check: {e:#}")` contains both `parsing JSON` and the
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underlying serde token from the chain.
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2. Run the test → RED (current code uses `{e}`, drops chain).
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3. Change `{e}` → `{e:#}` on line 118.
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4. Run the test → GREEN.
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5. Run the full existing harness test sweep — all 13 must still pass.
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ms.2:
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1. Run the harness with `--model meta-llama/CodeLlama-13b-Instruct-hf`
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(the canonical IONOS catalogue entry, confirmed via pre-flight
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`/v1/models` GET during planning). If IONOS rejects the call on
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the first completion attempt despite the pre-flight, abort and
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bounce to the user with the captured error text.
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2. Run harness against Qwen3-Coder-Next with the fixed pipeline →
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8 cells (4 tasks × 2 cohorts), RUN_STATUS=ok.
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3. Run harness against the chosen CodeLlama model → 8 cells,
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RUN_STATUS=ok.
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4. Compute per-model means: prompt_tokens (Qwen-counted via the
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API's `usage.prompt_tokens` field — note CodeLlama's tokeniser
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differs, so cross-model token counts compare counter-output not
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identical content), completion_tokens, pass-rate, turn-count
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distribution.
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5. Write extended addendum: one paragraph framing the second data
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point, plus a per-cell table replacing the current two-column
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shape with four columns (Qwen-JSON, Qwen-AILX, CodeLlama-JSON,
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CodeLlama-AILX).
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6. Remove the roadmap P3 entry; mirror the line in the iter journal.
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## Error handling
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- ms.1 test: a pure unit test, no external dependency, no I/O.
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- ms.2 IONOS API: existing harness retry policy (5xx exp backoff,
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Retry-After honouring on 429) applies unchanged.
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- CodeLlama model ID resolution: pre-flighted via `/v1/models` GET
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during planning. If IONOS unexpectedly rejects
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`meta-llama/CodeLlama-13b-Instruct-hf` on the first completion
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call despite the pre-flight, the orchestrator aborts the run and
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bounces back to the user with the captured error text. This is
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the only point in the milestone with a real user-bounce trigger;
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the rest is mechanical.
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- Token budget: 2× the cma per-run cap (the harness's existing
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`--max-tokens` default suffices; no override needed). The cma
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baseline used ~305k actual; CodeLlama may produce more retries
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and burn more, but the cap provides headroom.
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## Testing strategy
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ms.1: one new unit test (RED→GREEN) pinning the anyhow-chain
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preservation. The existing 13 harness tests must still pass.
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ms.2: rely entirely on the existing harness test suite. The
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milestone exercises the harness in live mode, not extends it. The
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two new runs verify completion by RUN_STATUS=ok in `summary.md` plus
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8 fully populated cells per run.
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## Acceptance criteria
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1. ms.1: `pipeline.rs:118` reads `format!("check: {e:#}")`; a
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RED→GREEN unit test pins the chain-preservation property.
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2. ms.1: existing 13 harness tests still pass.
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3. ms.2: `meta-llama/CodeLlama-13b-Instruct-hf` (or, on
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user-redirected fallback after an unexpected model-rejection
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bounce, whatever model the user names) runs to completion
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against the IONOS endpoint (8 cells, RUN_STATUS=ok). The chosen
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model ID is recorded in the iter journal.
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4. ms.2: a Qwen3-Coder-Next re-run with the fixed pipeline
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completes (8 cells, RUN_STATUS=ok). Distinct
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`runs/<date>-<hash>/` from the cma.3 baseline; both new runs
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are checked in.
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5. ms.2: `docs/DESIGN.md` §"Decision 6 / Empirical addendum
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(2026-05-12)" extended with one follow-up paragraph plus a
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four-cell-shaped table covering prompt_tokens, completion_tokens,
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pass-rate, and turn-count distribution.
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6. ms.2: Roadmap P3 multi-subject entry removed; one-line mirror in
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`2026-05-12-iter-ms.2.md`.
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7. Per-iter journal entries (ms.1, ms.2) linked from
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`docs/journals/INDEX.md`; audit-ms entry on milestone close.
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