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feat(setup): apply per-role LLM model presets, remove --llm-model (#268)

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* feat(setup): write per-role llm model presets

* feat(setup): remove llm model setup flag

* chore(setup): update llm preset guidance

* docs(setup): document llm model presets

* chore(release): sync uv.lock to 0.9.0

* fix(cli): make sl query --execute work on secret-backed connections

sl query --execute used a parallel SQL executor (createDefaultLocalQueryExecutor)
that passed connection.url verbatim into pg, so file:/env: secret references
failed with "SASL: SCRAM-SERVER-FIRST-MESSAGE: client password must be a string".

Collapse onto the connector-based executor already used by MCP and ingest
(createKtxCliIngestQueryExecutor), which resolves secret references and supports
every driver. Delete the now-dead local/postgres/sqlite query executors, their
tests, and the orphaned hasLocalQueryExecutor driver flag.

* docs(agents): require one implementation per capability

Add a design-reasoning default and a matching self-check question telling agents
to route callers through a single shared implementation of a capability rather
than forking a parallel one, and to fix the shared layer rather than patch one
branch. Encodes the lesson from a divergent SQL-execution-path bug, stated
generally.

CLAUDE.md is a symlink to AGENTS.md, so both agent-instruction files are covered.
This commit is contained in:
Andrey Avtomonov 2026-06-08 15:30:48 +02:00 • committed by GitHub
parent 2896f9fb91
commit 2c18a62de4
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25 changed files with 404 additions and 1384 deletions
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13
scripts/codex-backend-live-smoke.mjs
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@ -68,8 +68,6 @@ async function runSetupSmoke(projectDir) {
projectDir,
'--llm-backend',
'codex',
'--llm-model',
'gpt-5.3-codex',
'--no-input',
'--yes',
'--skip-databases',
@ -79,7 +77,7 @@ async function runSetupSmoke(projectDir) {
{ timeoutMs: 600_000 },
);
requireSuccess('ktx setup codex backend', result);
if (!result.stdout.includes('LLM ready: yes (codex, gpt-5.3-codex)')) {
if (!result.stdout.includes('LLM ready: yes (codex, gpt-5.5)')) {
throw new Error(`setup did not report Codex LLM readiness\nstdout:\n${result.stdout}`);
}
}
@ -91,7 +89,14 @@ async function runRuntimeSmoke(projectDir) {
const { z } = await import(zodUrl);
const runtime = new CodexKtxLlmRuntime({
projectDir,
modelSlots: { default: 'gpt-5.3-codex' },
modelSlots: {
default: 'gpt-5.5',
triage: 'gpt-5.5',
candidateExtraction: 'gpt-5.5',
curator: 'gpt-5.5',
reconcile: 'gpt-5.5',
repair: 'gpt-5.5',
},
});
const text = await runtime.generateText({