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LLeMbas/src/lembas/services/library/skills.py
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Jaroslav Beneš 757ab305ee Finding a thing that does not use your words
Three pieces, and the first one is that they are all optional.

Extraction stops being constants. Upload size, image edge, JPEG quality, PDF
pages, extracted characters, orphan age and the text-extension list are settings
now, read through a process-level snapshot rather than a session -- `prepare` and
everything under it are called from routes, tool runners and the startup sweep,
and several of those have no session in hand. Two things deliberately stayed
constants: the decompression-bomb guard, which is a guard and not a preference,
and ORPHAN_AGE, which would have been evaluated at import if it stayed in the
signature and pinned the shipped 24 hours whatever anybody set.

An embedding model is picked from the models an administrator flagged for it, and
one that has since lost its flag is *named* rather than dropped from the picker:
a setting that vanishes is one nobody can tell from a setting never made. Nothing
here is required. Choosing none means no chunk rows, no requests, and
retrieval.search returning exactly what fts.search_ids returns in exactly that
order -- asserted, because it is what makes this safe to land on an instance that
never asked for it.

The two rankings are fused by reciprocal rank fusion: ranks and not scores,
because bm25 is a corpus-dependent negative and cosine is 0..1, and normalising
them onto one scale means picking a constant nobody can tune without a labelled
set they do not have. RRF's one constant is famously insensitive and degrades to
whichever list is non-empty -- which is what turns "no embedding model" into a
branch that does not exist.

A record scores as its best chunk rather than its average, or a long document
about something else outranks a short one that says the thing. Width and model
are stored beside every vector and a mismatch is skipped, because vectors from
two spaces score against each other perfectly happily and mean nothing -- a
search that works and is wrong is the worst failure this can have, and a model
change now leaves stale rows ignored rather than trusted.

Indexing is fired and forgotten, and how a change is noticed is a session event
rather than a call in each of the ten library writers. That is a departure from
this codebase's taste for explicit seams, for the reason tool_label is a Jinja
global: a step every writer has to remember is one that gets forgotten, and here
forgetting is silent -- the record saves, keyword search still finds it, and only
its recall goes stale. Chunks are embedded before anything is deleted, so a
failure leaves the old index rather than half a new one.

Also: `embeddings` joins the model capabilities, and the three tool flags that
had shipped with no checkbox -- canvas, scheduling and helpers -- have one.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-06 16:15:21 +02:00

239 lines
7.7 KiB
Python

"""Skills: named instructions the model can choose to follow.
Two fields carry the design.
`description` is what gets injected -- one line per skill, for every skill --
and is therefore the only thing the model has to go on when deciding whether a
skill is relevant. A description that does not say *when* to use the skill makes
it invisible in practice.
`body` is fetched only when the model decides to use it. That split is what
makes a hundred skills affordable: the index costs a line each, the instructions
cost nothing until wanted.
**A model may rewrite its own skills**, which is the point -- it is how it
learns a procedure once instead of being told every time. The safety story is
not a gate but a record: every write snapshots what was there first, so a change
can be read and undone. A skill written after reading a hostile web page is a
real risk, and the honest mitigation is that it is visible, attributed and
revertible rather than that it was somehow prevented.
"""
from __future__ import annotations
import logging
import re
from collections.abc import Iterable
from sqlalchemy import select
from sqlalchemy.orm import Session as DBSession
from lembas.db.models import AUTHOR_MODEL, AUTHOR_USER, CHUNK_SKILL, Skill, SkillRevision, User
from lembas.services import sharing
from lembas.services.library import retrieval
log = logging.getLogger(__name__)
INDEX = "skills_fts"
# A name the model can quote back without getting it wrong.
SKILL_NAME_PATTERN = re.compile(r"^[a-z0-9][a-z0-9-]{1,60}$")
MAX_DESCRIPTION_CHARS = 400
MAX_BODY_CHARS = 20_000
# The index goes into every request, so it has a ceiling like memory does.
MAX_INDEX_SKILLS = 60
class SkillError(Exception):
"""A rejected skill write, with a message fit for the model or the user."""
def slugify(name: str) -> str:
cleaned = re.sub(r"[^a-z0-9]+", "-", (name or "").strip().lower()).strip("-")
return cleaned[:60]
def visible(db: DBSession, user: User | None):
return select(Skill).where(sharing.visible_to(Skill, user))
def get(db: DBSession, skill_id: str, user: User | None) -> Skill | None:
skill = db.get(Skill, skill_id)
if skill is None or not sharing.can_read(db, skill, user):
return None
return skill
def by_name(db: DBSession, name: str, user: User | None) -> Skill | None:
"""Look one up the way the model refers to it."""
if user is None:
return None
return db.scalar(visible(db, user).where(Skill.name == slugify(name)))
def enabled_for(
db: DBSession, user: User | None, *, exclude: Iterable[str] = ()
) -> list[Skill]:
"""Skills that should appear in the index, oldest first for a stable order.
`exclude` is what one chat has switched off by name -- a narrowing of what
the library already allows, never a widening of it.
"""
if user is None:
return []
hidden = {slugify(name) for name in exclude}
rows = db.scalars(
visible(db, user)
.where(Skill.enabled.is_(True))
.order_by(Skill.name)
.limit(MAX_INDEX_SKILLS + len(hidden))
)
return [skill for skill in rows if skill.name not in hidden][:MAX_INDEX_SKILLS]
def count_enabled(db: DBSession, user: User | None, *, exclude: Iterable[str] = ()) -> int:
"""How many skills are available here at all.
Zero is what withdraws `skill_get` and `skill_edit`: reading and improving
are meaningless with nothing to read, and a model told to "read one with
skill_get" above a list that is not there spends a round finding out.
"""
return len(enabled_for(db, user, exclude=exclude))
def search(
db: DBSession,
user: User | None,
needle: str,
*,
limit: int = 10,
vector: list[float] | None = None,
) -> list[Skill]:
"""Skills matching `needle` that this user may see, best match first.
`vector` is the query already embedded, or None. It comes from the caller
rather than being worked out here because this is synchronous and embedding
is an HTTP request -- see `services/library/retrieval.py`. None means the
keyword search exactly as it always was.
"""
hits = retrieval.search(db, INDEX, needle, kind=CHUNK_SKILL, vector=vector, limit=limit * 4)
if not hits:
return []
order = {hit.id: position for position, hit in enumerate(hits)}
rows = list(db.scalars(visible(db, user).where(Skill.id.in_(list(order)))))
rows.sort(key=lambda skill: order.get(skill.id, len(order)))
return rows[:limit]
def snapshot(db: DBSession, skill: Skill, *, author: str, note: str = "") -> SkillRevision:
"""Record what a skill looked like before it is changed."""
revision = SkillRevision(
skill_id=skill.id,
description=skill.description,
body=skill.body,
author=author,
note=note[:200],
)
db.add(revision)
return revision
def create(
db: DBSession,
*,
owner: User,
name: str,
description: str,
body: str,
author: str = AUTHOR_USER,
) -> Skill:
slug = slugify(name)
if not SKILL_NAME_PATTERN.match(slug):
raise SkillError(
"A skill name must be two or more letters, numbers or hyphens, "
"such as 'weekly-report'."
)
if by_name(db, slug, owner) is not None:
raise SkillError(f"A skill called {slug!r} already exists. Edit it instead.")
if not description.strip():
raise SkillError(
"A skill needs a description saying when to use it — it is the only "
"thing shown until the skill is opened."
)
skill = Skill(
owner_id=owner.id,
name=slug,
description=description.strip()[:MAX_DESCRIPTION_CHARS],
body=body.strip()[:MAX_BODY_CHARS],
author=author if author in (AUTHOR_USER, AUTHOR_MODEL) else AUTHOR_USER,
)
db.add(skill)
db.commit()
log.info("skill %r created by %s", slug, author)
return skill
def update(
db: DBSession,
skill: Skill,
*,
description: str | None = None,
body: str | None = None,
enabled: bool | None = None,
author: str = AUTHOR_USER,
note: str = "",
) -> Skill:
"""Change a skill, keeping what it was.
The snapshot happens before the change and in the same transaction, so
there is no window where a skill has been rewritten with no record of what
it used to say.
"""
changing = (description is not None and description.strip() != skill.description) or (
body is not None and body.strip() != skill.body
)
if changing:
snapshot(db, skill, author=author, note=note)
if description is not None and description.strip():
skill.description = description.strip()[:MAX_DESCRIPTION_CHARS]
if body is not None:
skill.body = body.strip()[:MAX_BODY_CHARS]
if enabled is not None:
skill.enabled = enabled
if changing:
skill.author = author if author in (AUTHOR_USER, AUTHOR_MODEL) else skill.author
db.commit()
return skill
def revert(db: DBSession, skill: Skill, revision: SkillRevision, *, author: str) -> Skill:
"""Put a skill back to an earlier revision.
The revert is itself a change, so the current state is snapshotted first --
going back is undoable too.
"""
snapshot(db, skill, author=author, note="before revert")
skill.description = revision.description
skill.body = revision.body
db.commit()
return skill
def delete(db: DBSession, skill: Skill) -> None:
sharing.forget_resource(db, skill)
db.delete(skill)
db.commit()
def index_block(db: DBSession, user: User | None, *, exclude: Iterable[str] = ()) -> str:
"""The one-line-per-skill listing that goes into the prompt."""
skills = enabled_for(db, user, exclude=exclude)
if not skills:
return ""
return "\n".join(f"- {skill.name}: {skill.description}" for skill in skills)