flowgraph/docs/architecture/open-questions.md

status, last_updated

status	last_updated
reviewed	2026-05-22

Open Questions Tracker

Cross-cutting compilation of all unresolved questions across the flowgraph architecture documents, organized by theme. Questions that appear in multiple documents are unified here with cross-references.

How to Use This Document

• Each question has an ID (e.g., OQ-01), status, origin (which doc(s)), and priority assessment
• Cross-references link related questions that may conflict or answer each other
• When a question is resolved, update its status to resolved and add a resolution note
• Once all questions in a theme are resolved, the theme section can be removed

ADR-005 Impact

ADR-005: Event Log as Single Source of Truth proposes an Execution Event Log pattern that resolves or reframes several open questions. ADR-005 is now Accepted. All questions it affects have been resolved:

Question	ADR-005 Impact	Final Resolution
OQ-01	Reframed → Resolved	Type-compat edges only on dataFlow: true edges. Temporal edges bypass type checking.
OQ-02	Reframed → Resolved	Type checking scope narrows to state-transfer edges. Structured mismatch reporting confirmed.
OQ-05	Independent → Resolved	Containers stay transparent. Aggregate status computed as projection from children.
OQ-06	Resolved	The reactive layer bridges to call protocol through the event log. Hub appends events; reactive layer projects them.
OQ-07	Resolved	Call graph and reactive engine are both projections of the event log. Neither owns the other.
OQ-08	Resolved	depends_on edges unnecessary. Data dependencies expressed through result projection.
OQ-09	Resolved	Retries are natural append events. New requestId per retry.
OQ-10	Reframed → Resolved	Running node failure handling is a projection policy, not a state machine rule. Default: running nodes continue.

Theme 1: Edge Semantics and Type Compatibility

OQ-01: Should fromSpecs() add ALL edges or only compatible ones?

• Origin: operation-graph.md Q1
• Status: resolved
• Priority: high — affects storage size, API surface, and diagnostic value
• Resolution: Adopt option (a) for state-transfer edges, option (b) for temporal-only edges. Type-compatibility edges (with compatible: true/false attributes) are only added where data flows between operations. The dataFlow attribute on TemplateEdgeAttrs (resolved in ADR-005) determines which edges need type checking. For edges where dataFlow: true, both compatible and incompatible edges provide diagnostic value. For edges where dataFlow: false, no type-compat edge is needed — temporal ordering doesn't have type compatibility.
• Cross-references: OQ-04

OQ-02: How granular should type compatibility results be?

• Origin: operation-graph.md Q4, analysis.md Q1
• Status: resolved
• Priority: high — directly shapes the typeCompat() return type and OperationEdgeAttrs
• Resolution: Type compatibility checking only applies to state-transfer edges (where A's output flows into B's input), as established by ADR-005's dataFlow attribute on TemplateEdgeAttrs. Temporal-only edges bypass type checking entirely (their "compatibility" is trivially true). The typeCompat() function returns { compatible, detail?, mismatches? } for state-transfer edges only. The schema already has mismatches?: TypeMismatch[] in OperationEdgeAttrs — this design is confirmed. Remaining detail decisions (recursive depth limits, unknown/union type handling) are implementation concerns, not architecture decisions.
• Cross-references: OQ-01

OQ-03: Should subscription operations be treated differently in type compatibility?

• Origin: operation-graph.md Q3
• Status: resolved
• Priority: medium — affects operation graph edge semantics for streaming operations
• Resolution: For v1, subscriptions are treated identically to queries/mutations in typeCompat(). A subscription's outputSchema describes a single stream element, and typeCompat() checks whether that single element is compatible with the downstream input. This is correct for Map (which processes stream elements individually) and may be misleading for direct subscription→operation connections. The OperationNodeAttrs.type field is available for consumers that need subscription-aware behavior. A v2 extension could add a streaming: boolean flag on edges to capture stream semantics explicitly, but this adds complexity without a current use case.
• Cross-references: OQ-01

OQ-04: Edge type consistency — should edgeType be required on ALL edges?

• Origin: schema.md Q1
• Status: resolved
• Priority: medium — affects serialization format and edge handling across all graph types
• Resolution: Option (a) — edgeType is required on all edges. The mode-specific attribute schemas (OperationEdgeAttrs, TriggeredEdgeAttrs, DependencyEdgeAttrs) do NOT include edgeType — it is stored as a universal attribute alongside the mode-specific attributes in graphology. This ensures consistent serialization/deserialization, uniform graphology queries, and straightforward edge-type filtering across all graph modes. The redundancy for operation graphs (where edgeType is always "typed") is a minor ergonomic cost for significant consistency gains. See ADR-006 for the full decision record.
• Cross-references: OQ-29

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Theme 2: Structural Container Transparency

OQ-05: Should Sequential and Parallel be transparent in the graph?

• Origin: workflow-templates.md Q1, host-configs.md Q1

• Status: resolved

• Priority: high — fundamental to how the DAG is structured and how the reactive engine computes preconditions

• Question (merged): Currently, structural containers (Sequential, Parallel, Conditional) produce edges but no nodes. The reactive engine then has to reconstruct structural context to compute preconditions. Should they create "virtual" nodes instead?

• Resolution: Keep containers transparent (current design). Structural containers do NOT create nodes in the DAG or events in the event log. Their aggregate status can be computed as a projection from their children's statuses:

  • A Sequential is "completed" when all its children are completed/skipped
  • A Parallel is "completed" when all its children are completed/skipped
  • A Conditional is "completed" when its taken branch is completed/skipped

  This resolution aligns with ADR-005's projection model: the event log records real call events, and projections derive derived state. Virtual nodes in the event log would pollute it with synthetic events that have no call protocol equivalent. Virtual nodes in the DAG would add structural overhead for what is already computable.

  The parentMap and siblingMap in the ReactiveContext remain the mechanism for computing preconditions. These maps are derived from the template structure during rendering, not from the DAG. They provide the structural context that the transparent-DAG approach needs, without requiring container nodes.

• Cross-references: OQ-14 (partial re-rendering)

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Theme 3: Call Protocol Integration

OQ-06: How does template instantiation interact with the call protocol?

• Origin: workflow-templates.md Q4, host-configs.md Q3
• Status: resolved by ADR-005
• Priority: high — this is a fundamental integration point between flowgraph and the call protocol
• Question (merged): When a template is instantiated as a call graph, each <Operation> becomes a call. But the call protocol's call.requested events include parentRequestId — who is the parent? Is it the template instance? The hub coordinator? And how does the ReactiveHostConfig bridge to registry.execute() or PendingRequestMap.call()?
• ADR-005 resolution: The reactive layer bridges to the call protocol through the event log. Call protocol events (call.requested, call.responded, etc.) are appended to the event log. The reactive status projection derives NodeStatus from the log. The result projection derives CallResult from the log. The hub coordinator appends events; the reactive layer projects them. No callback, no boomerang, no direct signal mutation by the coordinator.
• Cross-references: OQ-07, OQ-08

OQ-07: Should the reactive engine own the call graph?

• Origin: host-configs.md Q4
• Status: resolved by ADR-005
• Priority: high — affects the separation between flowgraph and the call protocol
• Question: Currently the call graph (from call-graph.md) and the reactive engine (from reactive-execution.md) are separate concepts. But at runtime, every <Operation> in a template becomes a call graph node. Should the reactive engine populate the call graph as a side effect?
• ADR-005 resolution: Neither owns the other. Both the call graph and the reactive status/result projections derive from the same event log. They are independent projections of the same source of truth. The call graph projects the structural view (who triggered whom). The reactive engine projects the behavioral view (what's running, what's blocked). You can have one without the other, or both simultaneously.

OQ-08: Should depends_on edges be auto-populated from workflow templates?

• Origin: call-graph.md Q2
• Status: resolved by ADR-005
• Priority: medium — affects how the call graph and template system relate
• Question: When a call graph is instantiated from a workflow template, the template's sequential/parallel structure implies data dependencies. Should the template instantiation automatically create depends_on edges in the call graph?
• ADR-005 resolution: depends_on edges are unnecessary as a separate concept. Data dependencies are expressed through the result projection of the event log. If node B needs node A's output, B reads getResult("A") from the result projection. The temporal ordering (A before B) is already expressed by template edges. There's no need for a separate edge type to represent data flow — the event log IS the data transport.

---

Theme 4: Failure and Retry Semantics

OQ-09: How are retries handled at the signal level?

• Origin: reactive-execution.md Q2
• Status: resolved by ADR-005
• Priority: high — affects the core status state machine
• Question: If an operation fails and should be retried, the status would need to go running → failed → ready → running. But the current state machine marks failed as terminal with no exit transitions. How should this work?
• ADR-005 resolution: Option (c) is correct, and the event log makes it natural. A retry is not a state mutation — it's a new sequence of events appended to the log. When call.requested arrives for the same operation with a new requestId, it's a new fact. The old call.error event remains in the log as history. The status projection derives the current state by scanning for the most recent event per node. No retried status needed; no state machine mutation; the log preserves full history.
• Cross-references: OQ-10

OQ-10: What happens to running nodes when a predecessor fails?

• Origin: reactive-execution.md Q6
• Status: resolved
• Priority: high — affects failure propagation correctness
• Resolution: This is a policy configuration of the status projection, not a hardcoded state machine rule. The event log records failure facts. The projection decides how to handle running nodes that depend on a failed node. The default policy (option a from the original framing): running nodes are NOT affected by a predecessor's failure — only idle/waiting nodes transition to aborted. A more aggressive policy could abort running nodes, but this requires explicit configuration. The event log makes both strategies expressible without changing the underlying mechanism — only the projection logic changes. This aligns with ADR-005's principle that projections encode policy while the log records facts.
• Cross-references: OQ-09 (retries are new events, not state mutations)

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Theme 5: Preconditions and Scheduling

OQ-11: Should preconditions support OR logic?

• Origin: reactive-execution.md Q1
• Status: resolved
• Priority: medium — affects the precondition computation model
• Resolution: No for v1. All preconditions use AND logic — a node becomes ready only when ALL predecessors have reached a satisfying terminal state (completed or skipped). OR logic (anyOf) would introduce significant complexity (what happens when one predecessor completes but another fails?) and is already partially addressed by Conditional (which provides branch-level either/or semantics). For v2, if OR logic becomes necessary, it should be added as a preconditionMode: "allOf" | "anyOf" attribute on Operation (node-level, not edge-level), defaulting to "allOf". This is a clean extension point that doesn't change the current precondition model.
• Cross-references: OQ-12

OQ-12: How does maxConcurrency interact with preconditions?

• Origin: reactive-execution.md Q4
• Status: resolved
• Priority: medium — a Parallel group with maxConcurrency: 3 should only start 3 nodes at a time
• Resolution: maxConcurrency is a Parallel prop enforced by the WorkflowReactiveRoot via a reactive counting semaphore. When the root initializes signals for nodes in a Parallel group with maxConcurrency: N, it wraps the precondition logic: a node's effective ready transition requires both preconditions.value === true AND runningCount < maxConcurrency, where runningCount is a reactive computed derived from counting sibling nodes currently in the running state. This is entirely a reactive-engine concern — the DAG doesn't encode maxConcurrency (it's not structural), and the call graph doesn't need to know about it. The Parallel component's maxConcurrency prop is already part of the template definition; the reactive engine just needs to honor it.
• Cross-references: OQ-11, workflow-templates Parallel component

OQ-13: Should blockedByFailure be a separate computed or derived from preconditions?

• Origin: reactive-execution.md Q5
• Status: resolved
• Priority: low — implementation detail
• Resolution: Keep two separate computed values (current design). Two separate computeds are more composable — you can check preconditions independently of failure status, and you can compose different effects for each. A single computed<NodeReadiness> would require every consumer to destructure the result, losing the clean if (preconditions.value) { ... } pattern. The implementation cost of two effects per node is negligible. The current design is confirmed.

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Theme 6: Graph Construction and API Surface

OQ-14: Should the call graph support unknown operationId?

• Origin: call-graph.md Q1
• Status: resolved
• Priority: medium — affects fromCallEvents() and updateFromEvent() behavior
• Resolution: Yes — the call graph records what happened, not what should have happened. Nodes with unknown operationId get status: "pending" and may later transition to "failed" with an OPERATION_NOT_FOUND error code. This is consistent with the error-handling doc's existing statement about unknown operationId. The behavior is documented explicitly in the fromCallEvents() specification: when a call.requested event references an operationId not in the registry, the node is still created with status: "pending" and the given operationId. This enables the call graph to serve as a complete audit trail regardless of registry state.

OQ-15: Should the call graph support multiple graphs simultaneously?

• Origin: call-graph.md Q3
• Status: resolved
• Priority: low — confirmed as correct design, not a deferral
• Resolution: No — one FlowGraph instance per graph. Multiple concurrent workflows use multiple instances. This design is simpler and matches graphology's model. Subgraphs would require a scoping mechanism and cross-scope queries that add complexity without benefit at current scale. The hub coordinator creates one WorkflowReactiveRoot per workflow, so one FlowGraph per workflow is consistent. This is a deliberate "no," not a deferral — if future scale demands require multi-workflow queries, a specialized query layer can aggregate across instances.

OQ-16: Should filterByStatus use an index?

• Origin: call-graph.md Q4
• Status: resolved
• Priority: low — premature optimization for small graphs
• Resolution: No — O(n) filter is sufficient for expected graph sizes (tens to hundreds of nodes). A status index would add implementation complexity (maintain on every updateStatus()) for no measurable benefit at current scale. If performance becomes an issue with very large graphs, a Map<CallStatus, Set<string>> index can be added as an optimization later without changing the public API.

OQ-17: Should FlowGraph expose graphology's traversal methods directly?

• Origin: flowgraph-api.md Q1
• Status: resolved
• Priority: medium — affects the public API surface
• Resolution: Option (c) — expose the most common traversal methods directly on FlowGraph, let .graph handle the rest. The directly exposed methods are: forEachNode(), forEachEdge(), nodes(), edges(), order, size, inNeighbors(), outNeighbors() (already exposed as predecessors()/successors()). Less common methods (degree, detailed attribute iteration, adjacency queries) remain accessible via flowGraph.graph. This is the 80/20 approach: consumers get a clean API for common operations, and power users get the escape hatch.

OQ-18: Should addOperation auto-populate type-compat edges?

• Origin: flowgraph-api.md Q2
• Status: resolved
• Priority: low — affects incremental construction behavior
• Resolution: No — addOperation() adds a node only. Call buildTypeEdges() manually after incremental construction. Auto-population would require O(n) comparisons on every addOperation(), which adds complexity for a rare use case (the operation graph is typically built once via fromSpecs()). If incremental construction is needed, the consumer can call buildTypeEdges() manually after adding operations.

OQ-28: Should FlowGraph share analysis functions across instances?

• Origin: flowgraph-api.md Q3
• Status: resolved
• Priority: low — optimization concern, not blocking
• Resolution: No — each FlowGraph instance owns its own DirectedGraph, and analysis functions are stateless pure functions that take a graph as input. There's nothing to pool or share. The FlowGraph convenience methods delegate to these standalone functions. Shared analysis "instances" would only make sense if the functions had internal caches, but they don't. This question conflated "sharing analysis functions" (already done — typeCompat is a standalone function) with "sharing graph data" (unnecessary since analysis doesn't cache state).

OQ-19: Should parallelGroups account for resource constraints?

• Origin: analysis.md Q4
• Status: resolved
• Priority: low — feature enhancement, not a core concern
• Resolution: No for v1 — parallelGroups() returns theoretical maximum parallelism. Adding resource constraints would conflate structural analysis with scheduling policy. The maxConcurrency prop on Parallel is a runtime scheduling concern handled by the reactive engine (see OQ-12), not a structural analysis concern. If consumers need resource-aware scheduling, they can post-process the parallelGroups() output with their own constraints. An optional maxConcurrency parameter can be added in v2 as a convenience, but the core analysis function stays pure.

OQ-27: Should validateTemplate check runtime preconditions?

• Origin: analysis.md Q2
• Status: resolved
• Priority: low — explicitly out of scope for static analysis
• Resolution: Explicitly out of scope. validateTemplate only checks structural validity and type compatibility. Runtime preconditions (e.g., "operation B requires an API key that operation A doesn't have access to") belong to the access control layer, not the static analysis layer. This is a deliberate scope boundary, not a design gap.

---

Theme 7: Conditional and Template Semantics

OQ-29: Should GraphologyHostConfig produce a separate graph per edge type?

• Origin: host-configs.md Q2
• Status: resolved
• Priority: medium — affects implementation of the GraphologyHostConfig
• Resolution: No — all edge types share a single graph, with edgeType as a universal required attribute on every edge (consistent with OQ-004 resolution). Separate graphs per edge type would add complexity (cross-graph traversal, cache coherence, multi-graph queries) for a marginal performance gain at current scale. Single-graph filtering by edgeType is O(n) on edges and negligible for expected graph sizes. If a concrete performance issue arises, a Map<EdgeType, DirectedGraph> internal index can be added as an optimization without changing the API. See ADR-006 for the full decision on edgeType consistency.
• Cross-references: OQ-04

OQ-20: How should conditional edge conditions be represented?

• Origin: schema.md Q3

• Status: resolved

• Priority: medium — affects TemplateEdgeAttrs.condition type safety

• Resolution: condition: Type.Optional(Type.Unknown()) with documentation describing the two runtime forms. The condition field accepts:

  1. String form (string): A serializable reference to an operation name whose result determines the branch. Survives JSON round-trips.
  2. Function form ((results: Record<string, CallResult>) => boolean): A runtime-evaluated predicate. Does NOT survive JSON serialization.

  @alkdev/typebox's Type.Function() defines serializable function input/output schemas (shapes), but Conditional.test predicates are runtime closures — they can't be represented as serializable function schemas. Using Type.Function() here would conflate the function's shape schema with the runtime closure itself. Type.Unknown() with clear documentation is the pragmatic choice for v1, accepting that JSON serialization only preserves the string form. A dedicated ConditionSchema can be introduced in v2 if template interchange needs schema-level condition descriptions, but only if there's a concrete use case for representing conditions as typed data (rather than as code).

• Known Gap (from host-configs.md): "Conditional Test Evaluation" — the Conditional.test function needs access to the WorkflowContext/ReactiveContext at runtime to evaluate against predecessor results. This gap is resolved by ADR-005: Conditional.test reads from the result projection.

• Cross-references: OQ-05, OQ-06

OQ-21: Should templates support explicit depends_on edges?

• Origin: workflow-templates.md Q3
• Status: resolved
• Priority: medium — affects template composition expressiveness
• Resolution: No for v1. ADR-005's dataFlow inference and the result projection make explicit depends_on unnecessary for current use cases. Data dependencies are expressed through the result projection — if B needs A's output, B reads getResult("A"). The dataFlow: true attribute on edges captures which edges carry data. An explicit <DependsOn> component would add template syntax complexity and potentially conflict with structural ordering. If a future use case requires non-adjacent data dependencies that can't be expressed by restructuring the template, <DependsOn> can be added as a v2 extension. But v1 intentionally restricts dependencies to follow the structural flow.
• Cross-references: OQ-08

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Theme 8: Identity and Serialization

OQ-22: Should CallNodeAttrs.identity be a structured type or Type.Record?

• Origin: schema.md Q2
• Status: resolved
• Priority: medium — affects the @alkdev/operations peer dependency
• Resolution: Option (a) — import the Identity type structure from @alkdev/operations (peer dependency). Since @alkdev/operations is already a peer dependency (for CallEventMapValue), adding this type import creates minimal additional coupling. The CallNodeAttrs.identity field mirrors the Identity interface: { id, scopes, resources? }. Version alignment is handled by semver ranges. The TypeBox schema for identity is defined inline in CallNodeAttrs to match the shape (not imported as a TypeBox schema from operations, since Identity is a TypeScript interface there), but the field semantics match exactly.

OQ-23: Multiple graphs per FlowGraph instance?

• Origin: call-graph.md Q3 (same as OQ-15)
• Status: resolved (duplicate of OQ-15 — see above)

OQ-24: Async analysis functions?

• Origin: analysis.md Q3
• Status: resolved
• Priority: low — premature for current scale
• Resolution: No — synchronous is sufficient for current scale (10-200 nodes). Making functions async would add API complexity (Promise return types, async/await boilerplate) for no current benefit. If large graphs become common, typeCompat() and buildTypeEdges() can gain async variants alongside the synchronous ones.

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Theme 9: Reactive Execution Mechanics

OQ-25: Should the reactive graph support partial re-rendering?

• Origin: reactive-execution.md Q3
• Status: resolved
• Priority: low — blocked on ujsx reconciler, now resolved with clear path
• Resolution: Blocked on ujsx reconciler. When the reconciler is implemented, flowgraph gains re-rendering through the standard prepareUpdate/commitUpdate HostConfig methods. The event log persists across re-renders (ADR-005), so re-rendered nodes pick up where they left off. No special reactive-graph re-rendering logic is needed — the reconciler handles tree diffing, and the HostConfig applies mutations. For v1 (before the reconciler), the reactive tree is built once and torn down via WorkflowReactiveRoot.dispose().
• Cross-references: OQ-05, host-configs.md "Known Gaps"

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Theme 10: Version and Scale Concerns

OQ-26: How to handle version conflicts?

• Origin: operation-graph.md Q2
• Status: resolved
• Priority: low — confirmed as correct design, not a deferral
• Resolution: The current design uses namespace.name (no version) as the node key, meaning only one version per operation can exist in the graph. This is intentional simplicity. Version conflicts are a niche concern that would add significant complexity (version-aware node keys like namespace.name@version, multi-version edges, version compatibility matrices) without a concrete use case. If versioning becomes needed, the node key format could be extended to namespace.name@version, but this is a significant change that requires careful consideration. For v1, the one-version-per-operation constraint is sufficient and keeps the key format simple and consistent.

---

ADR-006: Edge Type Consistency and Single-Graph Architecture

See decisions/006-edge-type-consistency.md for the full decision record.

---

Summary Table

ID	Question	Origin	Priority	Status
OQ-01	All edges or only compatible edges?	operation-graph	high	resolved
OQ-02	Type compatibility depth and granularity	operation-graph, analysis	high	resolved
OQ-03	Subscription operations in type compat	operation-graph	medium	resolved
OQ-04	edgeType on all edges?	schema	medium	resolved
OQ-05	Structural container transparency	workflow-templates, host-configs	high	resolved
OQ-06	Template ↔ call protocol interaction	workflow-templates, host-configs	high	resolved
OQ-07	Should reactive engine own call graph?	host-configs	high	resolved
OQ-08	Auto-populate depends_on from templates?	call-graph	medium	resolved
OQ-09	Retries at signal level	reactive-execution	high	resolved
OQ-10	Running nodes when predecessor fails	reactive-execution	high	resolved
OQ-11	OR logic for preconditions	reactive-execution	medium	resolved
OQ-12	maxConcurrency interaction with preconditions	reactive-execution	medium	resolved
OQ-13	blockedByFailure vs single computed	reactive-execution	low	resolved
OQ-14	Unknown operationId in call graph	call-graph	medium	resolved
OQ-15	Multiple graphs per instance	call-graph	low	resolved
OQ-16	filterByStatus index	call-graph	low	resolved
OQ-17	Expose graphology traversal directly?	flowgraph-api	medium	resolved
OQ-18	Auto-populate type edges on addOperation?	flowgraph-api	low	resolved
OQ-19	parallelGroups with resource constraints	analysis	low	resolved
OQ-20	Conditional edge condition representation	schema	medium	resolved
OQ-21	Explicit depends_on in templates	workflow-templates	medium	resolved
OQ-22	CallNodeAttrs.identity type	schema	medium	resolved
OQ-23	Multiple graphs per instance	call-graph	low	resolved (duplicate of OQ-15)
OQ-24	Async analysis functions	analysis	low	resolved
OQ-25	Partial re-rendering	reactive-execution	low	resolved
OQ-26	Operation version conflicts	operation-graph	low	resolved
OQ-27	Runtime preconditions in validateTemplate?	analysis	low	resolved
OQ-28	Share analysis functions across instances?	flowgraph-api	low	resolved
OQ-29	Separate graph per edge type?	host-configs	medium	resolved

All Questions Resolved

All open questions have been resolved. The architecture is now fully specified and ready for implementation decomposition.

Cross-Cutting Themes

All cross-cutting theme groups have been resolved:

1. Edge semantics group (OQ-01, OQ-02, OQ-04): All resolved. Type checking only on dataFlow: true edges. edgeType is universal on all edges (ADR-006).

2. Call protocol integration group (OQ-06, OQ-07, OQ-08): All resolved by ADR-005. Bridge through event log, projections instead of ownership, data flow through result projection.

3. Failure semantics group (OQ-09, OQ-10): All resolved by ADR-005. Retries are append events; running node failure is a projection policy.

4. Scheduling group (OQ-11, OQ-12): All resolved. AND-only preconditions for v1, maxConcurrency via reactive counting semaphore.

5. Template expressiveness group (OQ-05, OQ-20, OQ-21): All resolved. Containers stay transparent, condition as Type.Unknown() with documentation, no explicit depends_on for v1.

6. Graph structure group (OQ-04, OQ-29): All resolved by ADR-006. Universal edgeType on all edges, single shared graph per FlowGraph.