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Scope the builder Pre-Execution Protocol to task shape

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Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
66/100
Tipo de issue
Nueva funcionalidad
Claridad
Bastante claro
Estado de actividad
Activo
Stack tecnológico
sql, typescript

Línea de trabajo

Comienza con packages/opencode/src/altimate/prompts/builder.txt e inspecciona el precedente existente de SessionTermination.completionInstruction para la inyección de prompts específica del modo de ejecución. Rastrea cómo se determinan headless mode, el builder agent y la presencia de un proyecto dbt. Se considera terminado cuando el Pre-Execution Protocol se omite únicamente en ejecuciones de headless builder sin un proyecto dbt y permanece en todos los demás casos, incluidos los workspaces no clasificados.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

Problem

packages/opencode/src/altimate/prompts/builder.txt carries a ## Pre-Execution Protocol section that makes sql_analyze + altimate_core_validate mandatory before every sql_execute. builder is a PRIMARY agent, so that section reaches every builder surface at once: dbt authoring, interactive chat, and headless question-answering runs.

An internal pre-registered paired prompt ablation (540 trials on a public data-question benchmark, one binary across both arms, per-trial system prompts verified by sha256) measured what the section costs on the question-answering surface:

macro Pass@1
control 0.6667
treatment (protocol removed, among other changes) 0.6807
delta +0.0140
  • query-blocked sign-flip permutation, 20,000 resamples: p = 0.7358
  • cluster-bootstrap 95% CI: [-0.0400, +0.0674]

That is a null on score. The point estimate is positive and the interval comfortably contains zero — it is not an improvement and must not be reported as one.

What did move:

control treatment delta
wall clock per trial (restricted mean) 440.9s 319.4s -27.6%
model turns per trial 11.9 8.6 -27.7%
generation seconds per trial 187.6 127.2 -32.2%
altimate_core_validate calls (arm total) 1,476 0 -1,476
sql_analyze calls (arm total) 1,329 0 -1,329
sql_execute calls (arm total) 1,716 2,554 +49%
trials hitting the 900s timeout 27 16 -11

The 2,805 ritual tool calls going to zero is the number directly attributable to this text. The ritual is prompt-ordered: deleting the order deletes it completely, not partially. The freed budget went into actual querying (sql_execute +49%).

Why not just delete it

Two reasons, both from the experiment's own caveats:

  1. The latency win is not attributable to this section alone. The treatment arm bundled five coupled changes; the experiment explicitly declined to attribute and a factorial was not run.
  2. The measurement covers data questions only. dbt authoring and interactive chat are unmeasured builder surfaces where a pre-execution discipline may genuinely earn its place. Deleting on this evidence would over-generalise from one workload.
Proposal

Scope the section to task shape rather than delete it, following the precedent already in the tree: SessionTermination.completionInstruction moved a run-mode-only instruction out of builder.txt and injects it only when headless AND the agent is builder.

Drop the protocol only in the cell that was measured (headless + builder + no dbt project in the workspace) and keep it everywhere else, including whenever the workspace cannot be classified. The cost of keeping it is 27% latency on one workload; the cost of wrongly dropping it is unmeasured.

Out of scope

main also carries a ## Finish Protocol section (shipped in #1171) — a second mandatory ritual in the same family, added after the binary the ablation measured was built. No measurement covers it and this issue does not propose touching it.

A follow-up measurement on dbt tasks is needed before the gate could be widened, or the section deleted outright.

Lenguaje dominante
TypeScript
Estrellas
813
Forks
134
Merge medio
1 d 19 h
PR fusionados (30 d)
64

Preparar el entorno

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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