Files
brain-of-reese/benchmarks
ducoterra 8fac4e64d4 docs(agent): record the re-pointed embed embedding benchmark
The aipi `embed` endpoint was re-pointed to a new backing model and was
re-benchmarked over 3 runs. All three gates pass: output stays 768-dim
(matching BOR_EMBEDDING_DIM, so no schema/vector change is needed), the
similar-vs-dissimilar cosine margin is 0.217 (gate >= 0.05) with no NaN/Inf
vectors, and throughput is 35.6 vec/s on the 50-vector probe.

Versus the previous embed baseline (margin 0.283, 93.8 vec/s) the margin
tightens and throughput drops ~2.6x, both consistent with a model swap
behind the same alias. Vectors are unit-normalized and deterministic.
Note: same dimension on a different model means any KB indexed under the
old backing model holds stale vectors and needs a re-embed; the local dev
DB is empty, so the phase 119/162 retrieval battery was not runnable here.

LLM-Generated: true
2026-10-09 12:23:55 -04:00
..

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 battery
  • scripts/test_summary_model.py — summary model quality benchmark
  • scripts/test_embed_model.py — embedding model dimension/cosine/speed benchmark
  • scripts/model_benchmark.py — shared CSV recorder (imported by all scripts)