Execution Model
The Forge Pool execution model defines the execution semantics implemented by the public execution platform.
Rather than describing a particular runtime implementation, this document specifies the behavioral guarantees that every execution must satisfy regardless of infrastructure topology, scheduling strategy, or orchestration components.
Every workload executed through the public API follows the same execution model.
Execution Semantics
Execution is defined by a stable sequence of semantic phases.
Execution Contract
↓
Planning
↓
Distributed Execution
↓
Verification
↓
Deterministic Reduction
↓
Execution Evidence
↓
ResponseThese phases describe execution behavior rather than implementation details.
Individual runtime components may evolve independently provided these semantics remain unchanged.
Execution Contract
Every workload begins with the canonical execution contract described in the Execute API.
The execution contract defines:
- computational identity
- execution parameters
- execution policy
- deterministic seed
- execution context
- artifact preferences
Together these elements completely define the workload submitted to the execution platform.
Execution semantics originate from the execution contract rather than from runtime implementation.
Planning
Planning derives executable work from the public execution contract.
Planning is responsible for:
- interpreting primitive semantics
- applying execution profiles
- respecting execution policy
- deriving deterministic execution units
- preparing execution for distributed processing
Equivalent execution contracts must always produce equivalent planning decisions under the same execution doctrine.
Planning therefore remains deterministic.
Distributed Execution
Execution units are processed across participating execution infrastructure.
The execution runtime is responsible for:
- scheduling execution units
- coordinating execution
- collecting execution results
- preserving deterministic behavior
The public execution model does not prescribe how execution is distributed.
It specifies only the observable behavior of distributed execution.
Verification
Verification is part of execution rather than a separate operational process.
Execution policies determine the verification strategy applied during execution.
Typical verification strategies include:
- no additional verification
- partial verification
- comprehensive verification
Verification influences execution confidence.
It never changes workload semantics.
Deterministic Reduction
Distributed execution produces multiple execution results.
Reduction combines these results into a single canonical outcome.
Reduction must satisfy several requirements.
- deterministic
- reproducible
- independent of execution ordering
- independent of infrastructure placement
- independent of participating runtime topology
Equivalent execution evidence must always reduce to equivalent final results.
Execution Evidence
Execution produces evidence in addition to domain results.
Execution evidence typically includes:
- execution metadata
- execution metrics
- execution summaries
- artifact references
- replay metadata
- verification outcomes
Execution evidence is considered part of the execution result rather than an optional by-product.
Convergence
Certain probabilistic execution profiles may terminate before exhausting their execution budget.
Early completion is permitted only when convergence can be demonstrated according to profile-defined criteria.
Typical convergence conditions include:
- confidence stabilization
- variance stabilization
- bounded uncertainty
- execution budget exhaustion
Convergence decisions must themselves remain reproducible under identical execution conditions.
Deterministic Seeds
Deterministic execution is governed through execution seeds.
The execution platform supports:
- explicit root seeds
- deterministic seed derivation
Seeds propagate throughout distributed execution while preserving reproducibility.
Execution never depends on runtime entropy such as wall-clock time, scheduling order, or infrastructure placement.
Deterministic seeds belong to the execution contract rather than to the execution runtime.
Runtime Invariants
Every execution capability implemented by Forge Pool satisfies the same runtime invariants.
Stable Execution Contract
Public execution behavior remains stable as the runtime evolves.
Deterministic Planning
Equivalent execution contracts produce equivalent planning behavior.
Deterministic Reduction
Equivalent execution evidence produces equivalent results.
Replay Compatibility
Execution produces sufficient metadata for deterministic replay.
Verification Support
Execution produces sufficient evidence for independent verification.
Infrastructure Independence
Execution semantics remain independent of execution topology.
Failure Semantics
Failures are explicit execution outcomes.
Typical failure categories include:
- authentication failures
- authorization failures
- validation failures
- planning failures
- execution failures
- verification failures
- reduction failures
- temporary platform failures
Failure responses remain observable, traceable, and suitable for operational review.
Execution failure never eliminates execution traceability.
Implementation Independence
The execution model intentionally avoids describing runtime implementation.
Execution semantics remain valid regardless of:
- orchestration architecture
- scheduling algorithms
- infrastructure composition
- execution topology
- runtime deployment model
Only observable execution behavior forms part of the public execution contract.
Relationship to Replay
Replay extends the execution model by allowing completed workloads to be reproduced using the original execution contract together with execution evidence.
Replay therefore validates execution rather than recreating implementation details.
See:
Relationship to Verification
The execution model defines how workloads execute.
Verification defines how those executions are independently validated.
Together they establish the trust model of the Forge Pool execution platform.
See:
Related Documentation
Continue with:
Execution
Examples
Continue in Forge Studio
This document defines the execution semantics implemented by the Forge Pool platform.
To observe these semantics in practice:
- Explore execution capabilities in Capability Explorer
- Execute workloads through Forge Studio
- Inspect execution evidence and artifacts
- Validate replay behavior
- Compare execution outcomes across repeated runs
Trust should be established through independent verification rather than documentation alone.
Final Note
The execution model specifies what execution means, not how execution is implemented.
By separating execution semantics from runtime implementation, Forge Pool preserves a stable execution doctrine while allowing the distributed execution platform to evolve continuously.
This distinction enables long-term API stability, deterministic behavior, reproducible execution, and independent verification across every execution capability exposed by the platform.