osprey-sml-reference

name	osprey-sml-reference
description	Use when writing SML rules for Osprey — syntax questions, type system, naming conventions, labeling patterns, entity extraction, window counting, or label operations
user-invocable	false

SML (Osprey Rules) Reference

SML is a Python-like language for defining moderation rules in Osprey. Rules extract data from events, evaluate conditions, and emit effects (labels, verdicts, list actions).

Core Type System

Four fundamental types make up SML:

EntityJson & Entity — Typed Identifiers

EntityJson extracts entity IDs from event JSON; Entity constructs them from known values. Labels attach to entities, not raw strings.

# CORRECT — UserId is an Entity; labels attach to it
UserId: Entity[str] = EntityJson(type='UserId', path='$.did', required=False)

# WRONG — JsonData produces str, not Entity[str]. Labels can't attach to str.
UserId: str = JsonData(path='$.did')

• EntityJson(type, path, required) → Entity[str] or Entity[int]. Use for IDs: UserId, Handle, AtUri, PdsHost.
• Entity(type, id) → construct entity from known values (e.g., computed AT-URI).

JsonData — Primitive Extraction

JsonData extracts primitive values from event JSON.

DisplayName: str = JsonData(path='$.eventMetadata.profile.displayName', required=False, coerce_type=True)
PostsCount: int = JsonData(path='$.eventMetadata.profile.postsCount', required=False)

Returns: str, int, float, bool, Optional[T], or List[T].

Optional[T] — Nullable Types

Use ResolveOptional to unwrap optional values with a default.

AccountAgeSeconds: Optional[int] = JsonData(path='$.eventMetadata.accountAge', required=False)
AccountAgeSecondsUnwrapped: int = ResolveOptional(optional_value=AccountAgeSeconds, default_value=999999999)

Core Constructs

Rule — AND of Conditions

Rule(when_all=[...], description=f'...')  # → RuleT

Combines multiple conditions with AND logic. All items in when_all must be the same type (all bool or all RuleT).

NewAccountSpam = Rule(
    when_all=[
        AccountAgeSeconds < Day,
        PostsCount > 50,
        FollowersCount < 5,
    ],
    description=f'New account spam (age={AccountAgeSeconds}s, posts={PostsCount})',
)

WhenRules — OR Trigger + Effects

WhenRules(rules_any=[...], then=[...])  # → None

Triggers effects when ANY rule passes. Always use rules_any=, never rules_all=.

WhenRules(
    rules_any=[NewAccountSpam, BotBehavior],
    then=[
        LabelAdd(entity=UserId, label='spam'),
        AtprotoLabel(entity=UserId, label='spam', comment='Auto-detected', expiration_in_hours=168),
    ],
)

Import & Require

Import(rules=['path/to/file.sml'])  # Load models/rules from other files
Require(rule='path/to/file.sml', require_if=condition)  # Conditional inclusion

Operators & Type Rules

All items in when_all must be the same type:

• RegexMatch(...), comparisons (X < Y), or/and on bools → bool
• Rule(...) → RuleT; RuleT or RuleT → RuleT
• Use infix or (A or B or C), NOT function-call or(A, B, C)
• not works on both bool and RuleT

# CORRECT — all bool
WhenRules(
    rules_any=[
        Rule(when_all=[PostText != '', RegexMatch(pattern=r'...', target=PostText)]),
    ],
    then=[...],
)

# WRONG — mixing RuleT and bool in when_all
Rule(when_all=[MyRule, SomeCondition == True])  # Can't mix Rule and bool

Effects

Apply effects when rules pass:

• LabelAdd(entity, label, apply_if?, expires_after?, delay_action_by?) — add label
• LabelRemove(entity, label, ...) — remove label
• AtprotoLabel(entity, label, comment, expiration_in_hours) — emit to Bluesky Ozone
• AtprotoTag(entity, tag, comment, neg?, apply_if?) — add/remove Ozone tag (neg=True to remove)
• DeclareVerdict(verdict) — for synchronous callers

WhenRules(
    rules_any=[SomeRule],
    then=[
        LabelAdd(entity=UserId, label='flagged', expires_after=TimeDelta(days=7)),
        LabelAdd(entity=AtUri, label='violation'),
    ],
)

Key UDFs Quick Reference

UDF	Parameters	Returns	Purpose
RegexMatch	pattern, target, case_insensitive?	bool	Regex test
IncrementWindow	key, window_seconds, when_all	int	Sliding window counter
GetWindowCount	key, window_seconds, when_all	int	Read counter without incrementing
ListContains	list, phrases, case_sensitive?, word_boundaries?	Optional[str]	Match against YAML word list
CensorizedListContains	list, phrases, plurals?, must_be_censorized?	Optional[str]	Match lookalike/obfuscated text
HasLabel	entity, label, manual?, status?, min_label_age?	bool	Check if entity has label
HasAtprotoLabel	entity, label	bool	Check AT Protocol label
TimeDelta	weeks?, days?, hours?, minutes?, seconds?	TimeDeltaT	Create a duration
AnalyzeToxicity	text, when_all	Optional[float]	ML toxicity score
AnalyzeSentiment	text, when_all	Optional[float]	ML sentiment polarity
CacheSetStr	key, value, when_all, ttl_seconds?	None	Store string in Redis
CacheGetStr	key, when_all, default?	str	Read string from Redis

Progressive Disclosure

For detailed patterns and implementation examples, see:

• 25 Labeling Patterns — references/labeling-patterns.md. Covers all common use cases: content matching, rate limiting, strike systems, ML scoring, cross-entity labeling, caching, and more.
• Naming Conventions & Anti-Patterns — references/sml-conventions.md. Variable naming, time constants, RegexMatch rules, IncrementWindow keys, type system pitfalls, and what NOT to do. Also includes a Reviewer Checklist section with structured CONV-prefixed check IDs for systematic convention review.