Allium

Allium

Allium is a formal language for capturing software behaviour at the domain level. It sits between informal feature descriptions and implementation, providing a precise way to specify what software does without prescribing how it's built.

The name comes from the botanical family containing onions and shallots, continuing a tradition in behaviour specification tooling established by Cucumber and Gherkin.

Key principles:

• Describes observable behaviour, not implementation
• Captures domain logic that matters at the behavioural level
• Generates integration and end-to-end tests (not unit tests)
• Forces ambiguities into the open before implementation
• Implementation-agnostic: the same spec could be implemented in any language

Allium does NOT specify programming language or framework choices, database schemas or storage mechanisms, API designs or UI layouts, or internal algorithms (unless they are domain-level concerns).

Routing table

Responding to /allium (loop-first)

/allium is the entry point. Bias toward the autonomous path — the whole-loop value is exactly what occasional single-skill use misses:

• Clear single task → route straight to that skill (per the routing table); don't make the user wade through a menu.

• A goal or feature (e.g. "add gift cards", "get password reset working") → drive the whole loop end to end yourself, rather than running one phase. Follow driving the loop.

• Bare or ambiguous → orient the user loop-first: offer to drive the loop as the default, then list the individual skills as the control path with a one-line hint each, and suggest a concrete starting point from the project state (existing .allium specs? code but no spec? drift to reconcile?). For example:

  Tell me a goal and I'll drive the whole loop — spec → tests → code, until they agree. Or run one step yourself: elicit (spec from intent), distill (spec from existing code), propagate (tests from a spec), tend (edit a spec), weed (fix spec↔code drift). You have code but no .allium yet, so I'd start by distilling — or just give me the goal and I'll take it end to end.

Lead with the loop; keep the individual skills one step away for users who want manual control. And once a single skill finishes, proactively suggest the next phase rather than waiting to be asked.

The Allium loop (recommended sequencing)

The skills are not one-shot commands; they compose into an autonomous-style loop — gather context → take action → verify → repeat — that drives three artefacts to agreement: the spec (intent), the tests (contract), and the code (implementation). Gather context with /elicit or /distill (the spec is durable context); take action with /propagate then implementation (in spec-first work, confirm the new tests fail first — a test already green before you implement is already-covered or vacuous); verify by running the tests, then /weed, then CLI structural checks; repeat until converged. Verification is the phase that matters most, and the spec-plus-tests-plus-weed signal is what makes the loop trustworthy. After invoking one skill, proactively suggest the next step rather than waiting to be asked. To run the whole loop to convergence in one go, just give /allium a goal — it drives the loop for you, following driving the loop.

Two entry points, one convergence loop:

• Spec-first (forward, from intent): /elicit → /propagate → implement → /weed; use /tend then re-/propagate when requirements change.
• Code-first (backward, from existing code): /distill → review intended vs accidental behaviour → /propagate → run tests against the code → /weed to reconcile → repeat per area.

The work is "done" when tests pass, /weed reports no divergence, no open questions remain (plus, for code-first, a fresh /distill finds nothing new), and an independent /witness pass attests that claim against ground truth. Two standing rules while looping: never weaken a generated test to make it pass (fix the spec and re-propagate instead), and escalate genuine ambiguity to the human rather than guessing — both are enforced by the witness at the convergence gate, not left to trust.

Implementation itself is ordinary coding — Allium produces the spec and tests, not the application code. See the recommended loops reference for the full walkthrough, diagrams, exit conditions and the implementation prompt.

Quick syntax summary

Entity

entity Candidacy {    -- Fields    candidate: Candidate    role: Role    status: pending | active | completed | cancelled   -- inline enum    retry_count: Integer
    -- Relationships    invitation: Invitation with candidacy = this         -- one-to-one    slots: InterviewSlot with candidacy = this           -- one-to-many
    -- Projections    confirmed_slots: slots where status = confirmed    pending_slots: slots where status = pending
    -- Derived    is_ready: confirmed_slots.count >= 3    has_expired: invitation.expires_at <= now}

External entity

external entity Role { title: String, required_skills: Set<Skill>, location: Location }

Value type

value TimeRange { start: Timestamp, end: Timestamp, duration: end - start }

Sum type

A base entity declares a discriminator field whose capitalised values name the variants. Variants use the variant keyword.

entity Node {    path: Path    kind: Branch | Leaf              -- discriminator field}
variant Branch : Node {    children: List<Node?>}
variant Leaf : Node {    data: List<Integer>    log: List<Integer>}

Lowercase pipe values are enum literals (status: pending | active). Capitalised values are variant references (kind: Branch | Leaf). Type guards (requires: or if branches) narrow to a variant and unlock its fields.

Module given

Declares the entity instances a module's rules operate on. All rules inherit these bindings. Not every module needs one: rules scoped by triggers on domain entities get their entities from the trigger. given is for specs where rules operate on shared instances that exist once per module scope.

given {    pipeline: HiringPipeline    calendar: InterviewCalendar}

Imported module instances are accessed via qualified names (scheduling/calendar) and do not appear in the local given block. Distinct from surface context, which binds a parametric scope for a boundary contract.

Rule

rule InvitationExpires {    when: invitation: Invitation.expires_at <= now    requires: invitation.status = pending    let remaining = invitation.proposed_slots where status != cancelled    ensures: invitation.status = expired    ensures:        for s in remaining:            s.status = cancelled    @guidance        -- Non-normative implementation advice.}

Trigger types

• External stimulus: when: CandidateSelectsSlot(invitation, slot) — action from outside the system
• State transition: when: interview: Interview.status transitions_to scheduled — entity changed state (transition only, not creation)
• State becomes: when: interview: Interview.status becomes scheduled — entity has this value, whether by creation or transition
• Temporal: when: invitation: Invitation.expires_at <= now — time-based condition (always add a requires guard against re-firing)
• Derived condition: when: interview: Interview.all_feedback_in — derived value becomes true
• Entity creation: when: batch: DigestBatch.created — fires when a new entity is created
• Chained: when: AllConfirmationsResolved(candidacy) — subscribes to a trigger emission from another rule's ensures clause

All entity-scoped triggers use explicit var: Type binding. Use _ as a discard binding where the name is not needed: when: _: Invitation.expires_at <= now, when: SomeEvent(_, slot).

Rule-level iteration

A for clause applies the rule body once per element in a collection:

rule ProcessDigests {    when: schedule: DigestSchedule.next_run_at <= now    for user in Users where notification_setting.digest_enabled:        let settings = user.notification_setting        ensures: DigestBatch.created(user: user, ...)}

Ensures patterns

Ensures clauses have four outcome forms:

• State changes: entity.field = value
• Entity creation: Entity.created(...) — the single canonical creation verb
• Trigger emission: TriggerName(params) — emits an event for other rules to chain from
• Entity removal: not exists entity — asserts the entity no longer exists

These forms compose with for iteration (for x in collection: ...), if/else conditionals and let bindings.

Entity creation uses .created() exclusively. Domain meaning lives in entity names and rule names, not in creation verbs.

In state change assignments, the right-hand expression references pre-rule field values. Conditions within ensures blocks (if guards, creation parameters, trigger emission parameters) reference the resulting state.

Surface

surface InterviewerDashboard {    facing viewer: Interviewer
    context assignment: SlotConfirmation where interviewer = viewer
    exposes:        assignment.slot.time        assignment.status
    provides:        InterviewerConfirmsSlot(viewer, assignment.slot)            when assignment.status = pending
    related:        InterviewDetail(assignment.slot.interview)            when assignment.slot.interview != null}

Surfaces define contracts at boundaries. The facing clause names the external party, context scopes the entity. The remaining clauses use a single vocabulary regardless of whether the boundary is user-facing or code-to-code: exposes (visible data, supports for iteration over collections), provides (available operations with optional when-guards), contracts: (references module-level contract declarations with demands/fulfils direction markers), @guarantee (named prose assertions about the boundary), @guidance (non-normative advice), related (associated surfaces reachable from this one), timeout (references to temporal rules that apply within the surface's context).

The facing clause accepts either an actor type (with a corresponding actor declaration and identified_by mapping) or an entity type directly. Use actor declarations when the boundary has specific identity requirements; use entity types when any instance can interact (e.g., facing visitor: User). For integration surfaces where the external party is code, declare an actor type with a minimal identified_by expression. Actors that reference within in their identified_by expression must declare the expected context type: within: Workspace.

Surface-to-implementation contract

The exposes block is the field-level contract: the implementation returns exactly these fields, the consumer uses exactly these fields. Do not add fields not listed. Do not omit fields that are listed.

Contract

contract Codec {    serialize: (value: Any) -> ByteArray    deserialize: (bytes: ByteArray) -> Any
    @invariant Roundtrip        -- deserialize(serialize(value)) produces a value        -- equivalent to the original for all supported types.}

Contracts are module-level declarations referenced by name in surface contracts: clauses (demands Codec, fulfils EventSubmitter). See Contracts for declaration syntax and referencing rules.

Expressions

Navigation: interview.candidacy.candidate.email, reply_to?.author (optional), timezone ?? "UTC" (null coalescing). Collections: slots.count, slot in invitation.slots, interviewers.any(i => i.can_solo), for item in collection: item.status = cancelled, permissions + inherited (set union), old - new (set difference). Comparisons: status = pending, count >= 2, status in {confirmed, declined}, provider not in providers. Boolean logic: a and b, a or b, not a, a implies b.

Modular specs

use "github.com/allium-specs/google-oauth/abc123def" as oauth

Qualified names reference entities across specs: oauth/Session. Coordinates are immutable (git SHAs or content hashes). Local specs use relative paths: use "./candidacy.allium" as candidacy.

Config

config {    invitation_expiry: Duration = 7.days    max_login_attempts: Integer = 5    extended_expiry: Duration = invitation_expiry * 2              -- expression-form default    sync_timeout: Duration = core/config.default_timeout           -- config parameter reference}

Rules reference config values as config.invitation_expiry. For default entity instances, use default.

Defaults

default Role viewer = { name: "viewer", permissions: { "documents.read" } }

Invariant

invariant NonNegativeBalance {    for account in Accounts:        account.balance >= 0}

Expression-bearing invariants (invariant Name { expression }) assert properties over entity state. They are logical assertions, not runtime checks. Distinct from prose annotations (@invariant Name) in contracts, which use the @ sigil to mark content the checker does not evaluate. See Invariants.

Transition graph (v3)

entity Order {    status: pending | confirmed | shipped | delivered | cancelled
    transitions status {        pending -> confirmed        confirmed -> shipped        shipped -> delivered        pending -> cancelled        confirmed -> cancelled        terminal: delivered, cancelled    }}

State-dependent field presence (v3)

entity Order {    status: pending | confirmed | shipped | delivered | cancelled    customer: Customer    total: Money    tracking_number: String when status = shipped | delivered    shipped_at: Timestamp when status = shipped | delivered
    transitions status {        pending -> confirmed        confirmed -> shipped        shipped -> delivered        pending -> cancelled        confirmed -> cancelled        terminal: delivered, cancelled    }}

Deferred specs

deferred InterviewerMatching.suggest    -- see: detailed/interviewer-matching.allium

Open questions

open question "Admin ownership - should admins be assigned to specific roles?"

Verification

When the allium CLI is installed, a hook validates .allium files automatically after every write or edit. Fix any reported issues before presenting the result. If the CLI is not available, verify against the language reference.

References

• Language reference — full syntax for entities, rules, expressions, surfaces, contracts, invariants and validation
• Test generation — generating tests from specifications
• Recommended loops — the gather-context → take-action → verify → repeat loop, with spec-first and code-first walkthroughs
• Driving the loop — the procedure /allium follows to drive a goal to convergence (entry detection, the tick, stop conditions, the ledger)
• Integrating slices — the reduce step for fanned-out goals: assemble the slices, cross-check the seams with allium analyse, reconcile and witness the whole
• Patterns — 9 worked patterns: auth, RBAC, invitations, soft delete, notifications, usage limits, comments, library spec integration, framework integration contract