83 lines
3.4 KiB
Markdown
83 lines
3.4 KiB
Markdown
# Compaction Eval Harness
|
|
|
|
Measures what context compaction actually costs in *recall*, not just tokens.
|
|
|
|
## What it does
|
|
|
|
1. Takes a real long transcript (JSON: `{"messages": [...]}`, chat format).
|
|
2. Generates a bank of factual recall questions from the region that
|
|
compaction will summarize away (cached per transcript for reproducibility).
|
|
3. Runs the transcript through `ContextCompressor.compress()` under each
|
|
policy in the matrix (current default, aggressive tail, codex-style, ...).
|
|
4. For each policy, asks a fresh LLM the recall questions with ONLY the
|
|
post-compaction context, and judges answers against gold.
|
|
5. Emits a scorecard: recall accuracy vs tokens retained, per policy.
|
|
|
|
## Usage
|
|
|
|
```bash
|
|
# from repo root, venv active
|
|
python evals/compaction/runner.py \
|
|
--transcript /path/to/lineage.json \
|
|
--policies current,aggressive,floor10k \
|
|
--questions 15 \
|
|
--out evals/compaction/results/run1
|
|
python evals/compaction/report.py evals/compaction/results/run1
|
|
```
|
|
|
|
Transcripts are NOT committed (they contain real session data). Point
|
|
`--transcript` at a local file. See `fixtures.py` for the expected shape and
|
|
a synthetic-transcript generator used by CI smoke tests.
|
|
|
|
## Building transcripts from real sessions (`scripts/`)
|
|
|
|
Compaction rotations mean a single active session rarely exceeds ~300K
|
|
tokens, but the *lineage* (parent→children chain) carries the full
|
|
uncompacted history. The scripts reconstruct those into eval transcripts:
|
|
|
|
```bash
|
|
# 1. ALWAYS copy the DB first — never point at the live state.db
|
|
cp ~/.hermes/state.db /tmp/state_copy.db
|
|
|
|
# 2. Find big lineages (sessions with parent_session_id form chains), then:
|
|
python evals/compaction/scripts/reconstruct_lineage.py \
|
|
/tmp/state_copy.db <root_session_id> /tmp/lineage.json
|
|
|
|
# 3. (optional) Replay a 500K prefix through one checkout's compressor and
|
|
# dump before/after for the HTML viewer:
|
|
python evals/compaction/scripts/replay_lineage.py <checkout> /tmp/lineage.json out.json 500000
|
|
python evals/compaction/scripts/build_html_report.py <runs_dir> report.html
|
|
```
|
|
|
|
`reconstruct_lineage.py` walks the whole descendant tree chronologically,
|
|
dedupes rotation-copied rows by content hash, strips synthetic compaction
|
|
artifacts (summaries, todo snapshots), and resolves the system prompt through
|
|
the `system_prompts` dedup table (sessions only carry a hash). The HTML
|
|
report renders before/after transcripts side by side with compaction
|
|
artifacts color-coded.
|
|
|
|
## Region-scoping tripwire
|
|
|
|
`test_region_scoping.py` plants sentinels in head/middle/tail and asserts the
|
|
summarizer's serialized-turns input carries ONLY the middle (compacted)
|
|
region in both legacy and lean modes. Run it directly or via pytest.
|
|
|
|
## Policies
|
|
|
|
Defined in `policies.py`. Each policy maps to `ContextCompressor` constructor
|
|
kwargs plus optional attribute overrides applied post-construction (e.g.
|
|
`tail_token_budget`). Add new policies there — the runner picks them up by
|
|
name.
|
|
|
|
## Notes
|
|
|
|
- Question generation and judging use `agent.auxiliary_client.call_llm`
|
|
(same transport the compressor uses), so the harness needs a configured
|
|
provider. Costs real tokens: ~(policies x questions) answer calls plus
|
|
one generation and one judge pass.
|
|
- Accuracy is judged 2/1/0 (correct / partial / wrong); the scorecard
|
|
reports normalized percent. The judge sees gold answers, the answerer
|
|
does not.
|
|
- `--also-uncompacted` adds a control arm that answers from the full
|
|
original transcript — the recall ceiling.
|