session-memory: session-quality filter (WP-0005 T01)

detect/quality.py: is_real_coding_session drops health-checks / smoke-tests /
interrupted / trivially-short sessions (event floor, repo present, substantive
tool activity, non-trivial prompt). Wired into run_detect so signals only form
over real sessions — fixes the abandoned false-positive. [detect.quality] knobs;
existing detect/curate fixtures made realistic. 8 new tests; suite 80/80.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
2026-06-07 11:07:22 +02:00
parent 56b2f576de
commit 70433cda61
7 changed files with 241 additions and 2 deletions

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@@ -31,6 +31,13 @@ enabled = true
root = "~/.grok/sessions"
glob = "*/*/chat_history.jsonl"
# Detect phase (AGENTIC-WP-0005): quality filter — drop non-coding/trivial sessions
# before signals form, so health-checks don't mint false-positive patterns.
[detect.quality]
min_events = 20 # below this many events, not a real coding session
min_substantive = 3 # require >= this many substantive (edit/read/shell) tool calls
min_prompt_len = 25 # first prompt shorter than this is treated as trivial
# Curate phase (AGENTIC-WP-0004): catalog location + promotion evidence bar.
[curate]
catalog_dir = "session_memory/catalog" # files-first Pattern Catalog (committed)

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@@ -16,13 +16,14 @@ import os
from ..core.store import Store
from ..ingest import _expand, load_config
from .cluster import cluster
from .quality import filter_real, quality_config
from .signals import extract_signals
def run_detect(config: dict, *, min_frequency: int = 2) -> list[dict]:
store_cfg = config.get("store", {})
store = Store(_expand(store_cfg["db_path"]), _expand(store_cfg["blob_dir"]))
digests = store.list_digests()
digests = filter_real(store.list_digests(), quality_config(config))
signals = extract_signals(digests)
patterns = [p.to_dict() for p in cluster(signals, min_frequency=min_frequency)]
store.save_patterns(patterns)
@@ -56,7 +57,8 @@ def main(argv=None) -> int:
config = load_config(args.config)
store_cfg = config.get("store", {})
n = len(Store(_expand(store_cfg["db_path"]), _expand(store_cfg["blob_dir"])).list_digests())
all_digests = Store(_expand(store_cfg["db_path"]), _expand(store_cfg["blob_dir"])).list_digests()
n = len(filter_real(all_digests, quality_config(config)))
patterns = run_detect(config, min_frequency=args.min_frequency)
if args.json:

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@@ -0,0 +1,75 @@
"""Session-quality filter (T01).
The capture layer ingests *every* session it finds — including API health-checks,
smoke-tests, and interrupted runs (e.g. ``llm-connect`` firing "Say hello in one
word", or a transcript that is just ``[Request interrupted by user]``). These are
not real coding work, but the outcome heuristic labels the short ones ``abandoned``
and the clusterer then mints false-positive "problem" patterns from them.
:func:`is_real_coding_session` gates those out so Detect signals/clusters form only
over genuine coding sessions. It is intentionally conservative — a session counts
as real if it shows substantive activity, and is dropped only on clear trivial
markers. Thresholds come from ``[detect.quality]`` in ``config.toml``.
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import Optional
# Prompt prefixes/markers that indicate a non-coding or interrupted session.
_TRIVIAL_PROMPTS = (
"say hello", "hello", "[request interrupted", "return only this json",
"ping", "ok", "<system-reminder>",
)
# Tool buckets that count as "substantive" coding activity.
_SUBSTANTIVE_TOOLS = (
"Edit", "Write", "Read", "Bash", "search_replace", "write", "read_file",
"run_terminal_command", "grep", "Grep", "glob", "Glob", "NotebookEdit",
)
@dataclass
class QualityConfig:
min_events: int = 20 # below this, not a real coding session
min_substantive: int = 3 # >= this many substantive tool calls required
min_prompt_len: int = 25 # first prompt shorter than this is suspect
def quality_config(config: Optional[dict] = None) -> QualityConfig:
d = (config or {}).get("detect", {}).get("quality", {}) if config else {}
return QualityConfig(
min_events=d.get("min_events", 20),
min_substantive=d.get("min_substantive", 3),
min_prompt_len=d.get("min_prompt_len", 25),
)
def _substantive_calls(digest: dict) -> int:
hist = digest.get("tool_histogram") or {}
return sum(n for t, n in hist.items() if t in _SUBSTANTIVE_TOOLS)
def is_real_coding_session(digest: dict, config: Optional[QualityConfig] = None) -> bool:
cfg = config or QualityConfig()
if not digest.get("repo"):
return False
if digest.get("event_count", 0) < cfg.min_events:
return False
if _substantive_calls(digest) < cfg.min_substantive:
return False
prompt = (digest.get("first_prompt") or "").strip().lower()
if len(prompt) < cfg.min_prompt_len:
return False
if any(prompt.startswith(p) for p in _TRIVIAL_PROMPTS):
return False
return True
def filter_real(digests: list[dict], config: Optional[QualityConfig] = None) -> list[dict]:
cfg = config or QualityConfig()
return [d for d in digests if is_real_coding_session(d, cfg)]

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@@ -16,6 +16,9 @@ def _digest(uid, flavor, repo, **markers):
"cost": {"input_tokens": 10, "output_tokens": 1},
"markers": {"errors": markers.get("errors", 0), "retries": markers.get("retries", 0),
"test_runs": 0, "edits": 0, "human_interventions": 0},
# real coding session per the quality filter (WP-0005 T01)
"event_count": 40, "first_prompt": "Fix the failing build and retry the suite",
"tool_histogram": {"Bash": 20, "Edit": 12, "Read": 8},
}

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@@ -15,6 +15,9 @@ def _digest(uid, flavor, repo, **markers):
"cost": {"input_tokens": 10, "output_tokens": 1},
"markers": {"errors": markers.get("errors", 0), "retries": markers.get("retries", 0),
"test_runs": 0, "edits": 0, "human_interventions": 0},
# fields the quality filter (WP-0005 T01) checks — real coding session
"event_count": 40, "first_prompt": "Fix the failing build and retry the suite",
"tool_histogram": {"Bash": 20, "Edit": 12, "Read": 8},
}

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@@ -0,0 +1,61 @@
"""Session-quality filter tests (T01)."""
import os
import sys
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from session_memory.detect.quality import ( # noqa: E402
QualityConfig,
filter_real,
is_real_coding_session,
quality_config,
)
def _digest(repo="agentic-resources", events=60, prompt="Implement the curate entrypoint",
tools=None):
return {
"session_uid": "claude:x", "flavor": "claude", "repo": repo,
"event_count": events, "first_prompt": prompt,
"tool_histogram": tools if tools is not None else {"Bash": 20, "Edit": 15, "Read": 8},
}
def test_real_session_passes():
assert is_real_coding_session(_digest()) is True
def test_healthcheck_prompt_dropped():
assert is_real_coding_session(_digest(events=3, prompt="Say hello in one word.",
tools={})) is False
def test_interrupted_dropped():
assert is_real_coding_session(_digest(events=1, prompt="[Request interrupted by user]",
tools={})) is False
def test_too_short_dropped():
assert is_real_coding_session(_digest(events=5)) is False
def test_no_repo_dropped():
assert is_real_coding_session(_digest(repo=None)) is False
def test_no_substantive_tools_dropped():
# plenty of events but only plumbing calls -> not real coding
assert is_real_coding_session(
_digest(tools={"mcp__state-hub__update_task_status": 40})) is False
def test_filter_real_keeps_only_real():
digs = [_digest(), _digest(events=3, prompt="hello", tools={}), _digest(repo=None)]
assert len(filter_real(digs)) == 1
def test_quality_config_from_toml():
cfg = quality_config({"detect": {"quality": {"min_events": 50}}})
assert cfg.min_events == 50
assert cfg.min_substantive == 3 # default preserved

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@@ -0,0 +1,88 @@
---
id: AGENTIC-WP-0005
type: workplan
title: "Coding Session Memory — Detect Hardening (quality filter + infra signals)"
domain: helix_forge
repo: agentic-resources
status: ready
owner: codex
topic_slug: helix-forge
created: "2026-06-07"
updated: "2026-06-07"
state_hub_workstream_id: "d8b7b8d1-1d85-4d2a-8ccd-7b0366a9442d"
---
# Coding Session Memory — Detect Hardening
A focused hardening pass (call it Phase 1.5) so the Detect output is trustworthy
enough to drive an **infrastructure assessment**. Triggered by ad-hoc analysis of
the live store after Phase 2:
- Of **72 captured sessions, only 31 are real coding sessions**; the rest are
health-checks / smoke-tests / interrupted runs (mostly `llm-connect` *"Say hello
in one word"*). The `abandoned` outcome heuristic mislabels these, and Phase 2
cataloged a **false-positive** "cross-flavor abandoned" pattern as
`approved`/`distribution_ready`.
- All 31 real sessions read as `success`, so the current signal set
(outcome + markers + cost) surfaces almost no genuine friction.
- The already-captured `tool_histogram` tells the real story: **~17% of tool
activity in real sessions is State Hub MCP + task plumbing + `ToolSearch`
schema-loading**, concentrated to 4070% in some sessions — but `signals.py`
never looks at it.
No new capture is needed — this is analysis the data already supports.
## Session-Quality Filter
```task
id: AGENTIC-WP-0005-T01
status: done
priority: high
state_hub_task_id: "9f8b4304-0a37-4f66-ad34-d93e12fba0d8"
```
Add `detect/quality.py` with `is_real_coding_session(digest)` that filters out
health-checks, smoke-tests, interrupted, and trivially-short sessions (event-count
floor, repo present, substantive edit/tool activity, not a single hello/interrupt
prompt). Wire it into the detect pipeline so signals/clusters only form over real
sessions — fixing the `abandoned` false-positive. Knobs under `[detect]` in
`config.toml`. Unit-tested on synthetic trivial-vs-real digests.
## Infra-Overhead + Thrash Signals
```task
id: AGENTIC-WP-0005-T02
status: todo
priority: high
state_hub_task_id: "10d57b05-a731-4ece-bf45-f6a98ac77555"
```
Add `tool_histogram`-based extractors to `detect/signals.py`: a shared tool-bucket
helper (`shell` / `edit` / `read` / `statehub_mcp` / `task_mgmt` / `schema_load` /
`other`); `sig_infra_overhead` (PROBLEM when the statehub+task+schema share of tool
calls exceeds a threshold; magnitude = share; locus `infra_overhead`);
`sig_schema_thrash` (`ToolSearch` count over threshold; locus `schema_load`);
`sig_tool_thrash` (extreme single-tool repetition). Pure functions over digests;
thresholds configurable. Unit-tested.
## Re-run Live, Purge False Positives, Ranked Friction Report
```task
id: AGENTIC-WP-0005-T03
status: todo
priority: high
state_hub_task_id: "8b9d029a-60d0-4caf-af62-4fcc9c9a645c"
```
Re-run `ingest → detect` over the real local sessions with the filter + new
signals. Purge the false-positive catalog entries seeded in Phase 2 (the
health-check `abandoned` pattern) and re-curate so the catalog reflects real
friction. Produce a ranked **friction assessment** (`docs/ASSESSMENT-infra-friction.md`)
of the major infrastructure problems — quantified per repo/flavor, infra-overhead
share, schema-thrash — with recommendations (incl. the State Hub / MCP skill
hypothesis). After workplan file updates, notify the operator to run from
`~/state-hub`:
```bash
make fix-consistency REPO=agentic-resources
```