ducoterra
f221b40fce
New files: - scripts/model_benchmark.py — shared CSV recorder for all model tests - scripts/test_summary_model.py — summary model quality benchmark (coherence, coverage, brevity, hallucination) - scripts/test_embed_model.py — embedding model benchmark (dimension, cosine accuracy, speed) - .agents/skills/test-summary-model/SKILL.md — skill for testing summary models - .agents/skills/test-embed-model/SKILL.md — skill for testing embedding models - benchmarks/README.md — schema documentation Updated: - .agents/skills/test-chat-model/SKILL.md — now also records to CSV All three scripts write to benchmarks/model_benchmarks.csv with one row per run per check. The CSV accumulates results across runs for comparison.
Model Benchmark Results
CSV recordings from all model tests (chat, summary, embedding).
Files
model_benchmarks.csv— all benchmark results, one row per run per check
Schema
| Column | Description |
|---|---|
date |
Test date (YYYY-MM-DD) |
script |
chat |
model |
Model name (e.g. lite, turbo, embed) |
mode |
fixture / derived / quality / dimension / cosine / speed |
gate_status |
PASS / FAIL |
turns |
Number of questions/turns |
answered |
Turns that produced an answer |
caps |
Turns that hit the round cap |
tool_turns |
Turns emitting ≥1 tool call (chat only) |
emitted / executed |
Tool-call counts (chat only) |
contract |
Numerator for accuracy (chat: well-formed calls; summary: quality 0–100; embed: 1=pass) |
wall_s |
Total wall seconds |
contract_denom / executed_denom / tool_turns_denom |
Denominators for percentages |
extra1_col / extra1_val |
Script-specific metric 1 |
extra2_col / extra2_val |
Script-specific metric 2 |
Scripts
scripts/agent_realmodel_check.py— chat model tool-calling batteryscripts/test_summary_model.py— summary model quality benchmarkscripts/test_embed_model.py— embedding model dimension/cosine/speed benchmarkscripts/model_benchmark.py— shared CSV recorder (imported by all scripts)