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ARVIS Cognitive Pipeline

Overview

The ARVIS Cognitive Pipeline is a deterministic, stage-based cognitive system implemented through a modular service architecture.

It transforms input into a stability-constrained, validated cognitive intent.

It is NOT an execution system.

It is a pure cognitive protocol enforcing:

  • ordered reasoning
  • explicit signal propagation
  • stability constraints before action
  • traceable decision formation

Core Principle

The pipeline defines cognition.
It does NOT control execution.

Execution orchestration is handled by the Kernel Core and CognitiveRuntime. The pipeline remains responsible only for cognitive semantics.

Execution Model

The pipeline is logically sequential:

→ToolFeedback
→ ToolRetry
→ Decision
→ PassiveContext
→ Bundle
→ Conflict
→ Core
→ Regime
→ Temporal
→ ConflictModulation
→ Control
→ Projection
→ Gate
→ ControlFeedback
→ StructuralRisk
→ Confirmation
→ Execution
→ Action
→ Intent
→ Runtime

Logical vs Physical Execution

Logical (Pipeline)

input → pipeline → validated cognitive intent

Physical (Kernel Execution)

Kernel Scheduler → executes ONE stage per tick

Key properties:

  • pipeline is logically atomic
  • execution is physically iterative
  • preemption does NOT affect final result

Runtime Integration

The public execution path is:

CognitiveOS
  → CognitiveRuntime
  → CognitivePipeline
  → pipeline services / factories
  → CognitiveResultView / IR

CognitiveRuntime is responsible for orchestration.

It:

  • receives a CognitivePipelineContext
  • manages runtime execution boundaries
  • delegates cognitive work to the pipeline
  • returns a state/result execution envelope

It does NOT:

  • define cognitive semantics
  • alter stage logic
  • make decisions
  • bypass pipeline finalization

This preserves the separation between runtime orchestration and cognitive logic.

Pipeline Contract

Stage Properties

Each stage is:

  • deterministic
  • non-terminal
  • side-effect free
  • confined to ctx

STRICT RULE:

No stage may produce a final decision.

ABSOLUTE RULE:

No stage may:

  • trigger syscalls
  • access external systems
  • mutate memory
  • produce side-effects of any kind

Finalization

Pipeline completion occurs ONLY via:

finalize_run(ctx)

This MUST:

  • produce a non-null result
  • represent the only valid terminal decision

Forbidden:

  • stage-level completion
  • implicit decision emission

CRITICAL:

finalize_run() is the ONLY allowed terminal point of the pipeline.

It MUST:

  • construct the final CognitiveState
  • generate the Intermediate Representation (IR)
  • produce a non-null executable intent

No other component may emit a terminal decision.

Modular Pipeline Architecture

CognitivePipeline is now a façade over explicit pipeline services and factories.

The pipeline implementation is decomposed into dedicated modules under:

arvis/kernel/pipeline/services/
arvis/kernel/pipeline/factories/

Service responsibilities include:

  • bootstrap and context initialization
  • input preparation
  • IR bootstrap
  • stage registry construction
  • preparation and finalization (idempotent, typed lifecycle latches)
  • replay execution
  • observability
  • error handling

Factories include:

  • PipelineResultFactory
  • PipelineTraceFactory

This structure keeps the pipeline deterministic while making each responsibility isolated, testable, and replaceable.

Important:

cognitive_pipeline.py remains the orchestration façade. Pipeline services implement the specialized internal mechanics.

Determinism Guarantees

The pipeline guarantees:

  • fixed execution order
  • no hidden branching
  • identical input → identical output
  • replayable execution

Determinism is independent of runtime execution strategy.

Fail-Safe Execution

All stages are executed under:

_safe_run(stage, ctx)

If a stage fails:

  • execution continues
  • error is recorded in ctx.error_state.errors (exported to hosts under ctx.extra["errors"] at the runtime boundary)

This ensures:

  • no pipeline interruption
  • full traceability of degraded reasoning

Tool Interaction (Pre-Cognitive Layer)

The pipeline integrates tool results but does NOT execute tools.

Tool Stages

  • ToolFeedbackStage
  • ToolRetryStage

Responsibilities:

  • process previous tool outputs
  • prepare retry signals
  • inject feedback into cognitive context

IMPORTANT:

Tool execution is strictly external to the pipeline.

  • tools are executed ONLY via syscalls
  • syscalls occur ONLY after finalize_run()
  • tool results are re-injected in the next pipeline run

Stage-by-Stage Specification

1. Decision Stage

Initializes decision context.

Outputs:

  • ctx.decision_layer.decision_result
  • ctx.runtime_bindings.control_runtime

2. Passive Context Stage

Integrates:

  • memory snapshot (read-only projection)
  • conversation context
  • timeline signals

Memory Model

Memory is NOT queried dynamically.

Instead:

  • memory is projected into the pipeline as a deterministic snapshot
  • the pipeline consumes memory as input, not as a service

Forbidden:

  • dynamic memory queries
  • repository access
  • syscall invocation

3. Bundle Stage

Builds unified cognitive representation.

Outputs:

  • ctx.decision_layer.bundle

4. Conflict Stage

Detects and structures conflicts.

Outputs:

  • ctx.conflict
  • ctx.conflict_pressure

5. Core Stage

Scientific modeling:

  • risk
  • drift
  • Lyapunov state
  • stability

6. Regime Stage

Classifies system dynamics.

7. Temporal Stage

Applies temporal constraints.

8. Conflict Modulation Stage

Adjusts behavior based on conflict pressure.

9. Control Stage

Adaptive cognitive control:

  • exploration
  • epsilon
  • regime-aware adjustments

10. Projection Stage

Applies projection constraints:

  • bounded domain
  • safety certification

Outputs:

  • ctx.projection.certificate

11. Gate Stage (Critical)

Performs multi-axial stability validation.

Combines:

  • Lyapunov stability
  • switching constraints
  • trajectory stability
  • system confidence
  • projection certificate

Outputs:

  • ctx.gate_result

12. Control Feedback Stage

Closes control loop based on Gate outcome.

13. Structural Risk Stage

Detects systemic instability.

14. Confirmation Stage

Handles:

  • uncertainty
  • human validation
  • override logic

15. Execution Stage

Determines:

  • execution eligibility
  • confirmation requirements
  • constraint compliance

IMPORTANT:

This stage does NOT trigger execution.

It only determines whether execution would be allowed.

16. Action Stage

Maps decision to action.

17. Intent Stage

Produces executable cognitive intent.

Outputs:

  • ctx.execution.executable_intent

18. Runtime Stage

Publishes the run's risk and action into the per-user control runtime and updates the switching runtime and global stability observer.

Outputs:

  • ctx.runtime_bindings.control_runtime (last_risk, inertia_risk, last_action)
  • ctx.scientific.switching.switching_runtime (regime update)
  • ctx.scientific.adaptive.global_stability_metrics

Output of the Pipeline

The pipeline produces:

  • a validated cognitive intent
  • a canonical CognitiveState
  • an Intermediate Representation (IR)
  • a normalized result view through the public API layer

The IR is the canonical output of cognition.

Output Contract

ctx → finalize_run() → CognitiveState → PipelineResult → CognitiveResultView / IR

The IR defines:

  • the decision structure
  • execution eligibility
  • response constraints

It does NOT:

  • execute actions
  • trigger side-effects

Boundary with Kernel

STRICT SEPARATION:

Layer Responsibility
Pipeline Cognition
Kernel Core Execution
Syscalls Side-effects

CRITICAL:

The pipeline cannot:

  • call the Kernel
  • trigger syscalls
  • influence execution timing

It produces cognition only.

Post-Pipeline Processing

After pipeline completion:

  • finalize_run() produces a terminal pipeline result
  • CognitiveState is exposed through the result envelope
  • DecisionTrace is built through pipeline trace factories
  • IR is exported through the API / IR services
  • Kernel MAY trigger syscalls (post-decision)
  • Observability is computed (read-only)

Execution Boundary Reminder

CognitiveRuntime → Pipeline → finalize_run → Result / IR → Kernel → Syscalls

The pipeline ends BEFORE any side-effect occurs.

This boundary is strict and enforced by the Kernel.

Observability (Read-Only)

Observability computes:

  • predictive state
  • global stability
  • system metrics

It is:

  • read-only
  • non-causal

Design Principles

1. Pure Cognition

The pipeline contains no execution logic.

2. Stability Before Action

No decision exists without passing the Gate.

3. Signals Over Scalars

All critical values are typed signals.

4. Fail-Soft

Failures are captured, never fatal.

5. Full Traceability

All reasoning is:

  • inspectable
  • replayable
  • auditable

6. Façade over Internals

The public pipeline object should stay thin.

Specialized mechanics belong in services and factories, not in the façade.

This keeps the pipeline readable while preserving deterministic behavior.

Summary

The ARVIS pipeline is:

a deterministic cognitive system independent from execution producing only validated intent

Execution is:

orchestrated by CognitiveRuntime and the Kernel Core

The pipeline never interacts with reality.

It only determines what would be allowed to happen.

Its implementation is now modular, service-driven, and replay-aware.