SwarmDev Deterministic Pipeline
OPTIMIZATION & SWARMS DETERMINISTIC LOCAL AIR-GAPPED

SwarmDev Deterministic Pipeline

Turn natural language into inspectable, testable execution plans across 6 explicit stages with diagnostic sidecars.

#SwarmDev#Pipeline#kGNN#Deterministic#Telemetry

SwarmDev Deterministic Pipeline

SwarmDev is a deterministic prompt-to-workflow compilation pipeline. It transforms unstructured natural-language requests into fully verifiable, inspectable execution plans backed by an immutable diagnostic trail.

6-Stage Deterministic Flow

[Prompt] ──> (1. Classify) ──> (2. Analyze) ──> (3. Graph)
                                                  │
[Execution Plan] <── (6. Emit) <── (5. Normalize) <── (4. Route)
  1. Classify: Determines request category, execution archetype, domain boundaries, and required capability entitlements.
  2. Analyze: Extracts formal parameter schemas, constraints, preconditions, and invariant specifications.
  3. Graph: Constructs an in-memory knowledge representation of required tasks and causal dependencies.
  4. Route: Dispatches sub-tasks to specialized domain frames, tool contracts, or accelerator targets.
  5. Normalize: Policy-gated validation verifying safety, budget limits, cycle freedom, and schema adherence.
  6. Emit: Produces a fully typed, topologically sorted, execution-ready plan envelope.

Running SwarmDev Benchmarks

dotnet run --project src/HFLabs/Products/SwarmDev/SwarmDev.csproj -c Release -- run-benchmarks

Optional Extension Layers

  • kGNN Graph Reasoning: Opt-in graph neural network module evaluating non-local structural dependencies across complex plans.
  • HyperSwarm Wavescan Bridge: Performs swarm-guided parameter exploration to discover optimal pipeline routing paths.
  • Structured Telemetry Sidecar: Captures latency, step outputs, and rule evaluation traces at each stage for 100% auditability.