Files
learnharness/src/agent
amosblomqvist c3cc55c585 Extraction tool calls: tolerate omitted-empty fields (weak-model trap)
Diagnosis from the real 25-file notes import (user-pasted session logs):
almost every run hit 'Validation failed for tool submit_findings/review:
edges must have required properties edges' — the model (glm flash, low
thinking) omits top-level fields when they're empty, and pi-ai's
structural JSON-Schema validation runs BEFORE the zod layer, so each
omission cost one of the extractor's maxTurns 4 (full payload
regeneration) and occasionally burned out the run entirely (the two
FAILED imports).

The model is technically wrong, but the schema provokes it:
required-but-usually-empty arrays are a known weak-model anti-pattern.

- lhTool's model-facing declaration now converts with io: "input"
  (the declaration describes what the MODEL sends): .default() fields
  drop out of required. No-op for teacher tools (none use defaults).
- findingsSchema.edges / auditSchema.dropped: .default([]) — omission
  means "none"; attribution: .default({quiz:{}}) for quiz-free sessions.
- Prompts hardened in all three agents: include every top-level field,
  never omit because empty.

Structural probe: validateToolArguments now passes the exact pasted
failure shape; zod re-parse in execute applies the defaults. 355/355
tests, typecheck, lint, build green. (lh-tool.ts is the shared engine
seam — flagged to master: io:"input" is the correct mode for every
model-facing declaration, teacher path verified unaffected.)
2026-09-13 02:32:20 +03:00
..