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PointSav Documentation

The engineering library for the PointSav platform — operating systems and services for regulated businesses that own their data, their AI, and their record-keeping outright. Where the monorepo holds the code, this wiki holds the reasoning: architecture, services, security, and the governance commitments that bind future development.

DataGraph Federation: From app-orchestration-slm to app-orchestration-graph

Every Totebox Archive in the PointSav platform maintains a sovereign DataGraph — a graph of entities, relationships, and corpus metadata specific to its operational domain. The GIS archive holds geographic entities and spatial relationships. The editorial archive holds content entities and authorship graphs. These DataGraphs do not merge. They do not replicate. Each is authoritative for its own domain and inaccessible to any other archive by default.

This sovereignty is a design invariant, not a limitation. The capability geometry of the platform makes cross-archive DataGraph access impossible except through a single, auditable path: the DataGraph federation gateway.

How Federation Works Today

In the current platform (as of Fleet aggregator Phase 2), DataGraph federation is handled by app-orchestration-slm via POST /v1/graph/federated. When a downstream process requires a cross-archive entity query, the request arrives at the chassis. The chassis calls FleetRegistry.list_full() — which returns all registered Totebox fleet members with their full doorman_endpoint — and fans out the query to each member concurrently. Each Totebox Doorman queries its own service-content DataGraph and returns the result. The chassis aggregates the FederatedGraphEntry responses and returns a FederatedGraphResponse.

This design has three properties:

Pull-on-demand. The chassis holds no DataGraph state. It queries Toteboxes when asked, aggregates in memory, and discards. Nothing is cached between requests. This preserves sovereignty: if an archive's DataGraph is updated, the next federated query returns fresh data without any synchronisation step.

Operator-invoked only. The federation endpoint is not called automatically. It requires an explicit POST from an authorised caller. No background process on os-orchestration sweeps Totebox DataGraphs. This is intentional — unsolicited reads from a sovereign archive would require a standing cross-archive capability grant, which the architecture does not permit.

Fire-and-forget fan-out. The chassis's own outbound call to each Doorman carries no signed capability header today — that's a property app-orchestration-graph (below) adds when it activates, not something the current app-orchestration-slm mechanism does yet. An unreachable archive is silently omitted from the response rather than raising an error; the caller sees archives_queried against archives_reachable and can tell the two numbers apart.

Why app-orchestration-slm Holds Federation Now

app-orchestration-slm is the inference broker — its primary function is routing inference requests from Tier 0 Doormen to the appropriate compute tier. Federation is collocated with inference for a straightforward reason: in a small fleet, the operator action that triggers a federated inference task (inject cross-archive context into a prompt) also needs the federated DataGraph result to construct that context. Keeping both in one process avoids an extra network hop.

This colocation is correct at fleet sizes of 2–10 Toteboxes. At this scale, DataGraph fanout queries are infrequent relative to inference requests, the connection overhead is trivial, and the aggregation logic is simple enough to maintain inline.

When the Separation Becomes Necessary

Three conditions signal that DataGraph federation should be extracted into a dedicated app-orchestration-graph service:

Workload independence. When DataGraph queries arrive at rates, volumes, or latency budgets substantially different from inference requests, the two workloads compete for resources inside the same process. A slow federation fanout (waiting on 15 Toteboxes) stalls inference routing; a burst of inference requests queues behind federation aggregation. Extraction eliminates this coupling.

Multiple consumers. As long as only the inference path needs cross-Totebox DataGraph access, colocation is defensible. If a second consumer emerges — a reporting pipeline, a cross-archive search surface, or a training schedule coordinator that needs entity counts across all archives — the fanout logic should not be duplicated. A dedicated service with a stable API serves all consumers.

Connection pool requirements. app-orchestration-graph would maintain persistent HTTP connections to every registered Totebox's service-content endpoint. For a fleet of 20 or more Toteboxes, this connection pool is a non-trivial resource. Managing it inside app-orchestration-slm — which is designed to be a stateless routing process — introduces operational complexity that a dedicated service handles naturally.

app-orchestration-graph activates when the fleet reaches two Totebox Archives with DataGraph endpoints, or when a second consumer of federated queries emerges — whichever comes first.

What app-orchestration-graph owns

app-orchestration-graph already exists as a working scaffold, not yet activated in production. It serves GET /v1/graph/context?q=&module_id=, fanning out to every target listed in the ORCHESTRATION_GRAPH_TARGETS environment variable — a comma-separated list of archive_name|endpoint|module_id triples, so each target carries its own tenant scope explicitly rather than being inferred from a bare URL. Each fan-out call carries a signed X-Foundry-Capability header, established at startup via an Ed25519 pairing handshake with each target; a target's own capability gate rejects a query whose signed scope doesn't match the module_id it was queried under. Entities returned from different archives are deduplicated by normalised name. The response reports warnings, archives_queried, and archives_responding rather than a single partial flag — a caller can see exactly which archives answered and which didn't, not just whether the query was complete.

Planned port: :9181 (:9180 is app-orchestration-slm).

What app-orchestration-graph does not own

app-orchestration-graph holds no entity data, replicates no DataGraph, and pushes nothing to Toteboxes. It is a read-only gateway. The source of truth for every entity remains the service-content instance in the Totebox that generated it.

The name app-orchestration-content was considered and explicitly rejected. It would introduce confusion with service-content — the per-Totebox DataGraph store. The graph naming (app-orchestration-graph) signals the function (graph federation gateway) without implying data ownership.

Relationship to the Tier Split Architecture

app-orchestration-graph is a Phase 3+ consideration in the SLM tier split architecture. The Phase 1 and Phase 2 deployments — using app-orchestration-slm's built-in POST /v1/graph/federated — remain in place throughout. The Reserved-folder stub exists to capture the architectural intent and prevent the design from being lost as the fleet grows incrementally.

When the extraction is eventually performed, the transition is intended to be additive: stand up app-orchestration-graph alongside app-orchestration-slm, migrate the federated graph endpoint, verify parity, then remove the endpoint from app-orchestration-slm. No Totebox Archive changes are required — the fanout target changes at the chassis layer, invisible to individual archives.

Cite this record: /wiki/app-orchestration-graph-federation — revision 71486d8b, last updated 23 June 2026.

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