OS-5.6 — Distributed Replay, Sandboxing, & Epistemic Resource Scheduling¶

This module details the design, interfaces, and formal concepts behind the high-scale Agent OS extensions designed for distributed replay, deep sandboxed execution, centrality-based resource scheduling, and proof-of-safety ontological guardrails.

1. Deterministic Replay & Trace Ontology (OS-5.6)¶

To satisfy strict regulatory compliance and debugging requirements in an ecosystem of up to 1 million active nodes, the Distributed Replay Engine records and plays back step-by-step agent executions.

Every logical transition (prompt, tool call, memory retrieval, response) is registered as a first-class OWL sub-graph under the PROV-O (Provenance Ontology).

Data Model Schema¶

classDiagram
    class ReplayManifestNode {
        +String id
        +String process_id
        +String agent_id
        +DateTime created_at
        +Float initial_budget_usd
    }
    class InteractionRecordNode {
        +String step_id
        +String step_type
        +Int index
        +String payload_json
        +Float step_cost_usd
        +Int step_tokens
        +Int elapsed_ms
    }
    ReplayManifestNode --> InteractionRecordNode : HAS_STEP

2. Hardened WASM Sandbox Executor (OS-5.4)¶

Rather than executing raw local subprocesses, the kernel runs untrusted tools inside a WebAssembly (WASM) Sandbox (WasmAgentRunner, agent_utilities/core/wasm_runner.py). This guarantees memory safety, execution limits, and microsecond-level isolation.

Core Safeguards:¶

Memory Page Quota: Linear memory is bounded to limit_memory_pages (default 16 pages = 1 MB; WASM spec page = 64 KB). Loads/stores are bounds-checked by wasmtime. (Explicit fuel/gas instruction metering — i.e. a GasQuotaExceeded-style trap — is a planned enhancement, not yet wired.)
Output Buffer Cap: Output reads are capped at 4096 bytes to prevent unbounded extraction.
Restricted Callbacks: The default linker imports zero host functions — no filesystem, network, env, clock, random, or stdio — unless explicitly granted.

See OS-5.4 — Hardened WASM Sandbox Executor for the full gas/memory/syscall model.

3. Epistemic Resource Scheduler (OS-5.8)¶

Standard schedulers use crude priority queues (e.g. Nice levels). The Epistemic Resource Scheduler queries the active Knowledge Graph to compute the topological centrality (eigenvector or out-degree) of the agent's node.

$$\text{Priority Score} = \text{Base Priority} \times (1.0 + \alpha \times \text{Centrality})$$

Preemption Escalation Protocol:¶

High Centrality agents (e.g. orchestrators, key routing blocks) are allocated greater token budgets, elevated CPU threads, and protected against preemption.
Low Centrality agents (e.g. auxiliary crawlers) are quickly checkpointed and paged to local DB storage under heavy system resource contention.

4. Ontological Guardrail Engine (OS-5.10)¶

High-risk tools (e.g. writing system configurations, executing financial transactions) must be verified prior to execution. The Ontological Guardrail Engine intercepts the tool schema and argument payload, checking for safety violation proofs against active OWL policy constraints using subsumption reasoning.

Safety Proof Model:¶

  [Proposed Tool Argument: Path = "/home/user/workspace/secret.key"]
                       |
                       v
         (Ontological Guardrail Check)
                       |
                       v
  Is Path Subsumed by "ForbiddenSystemDirectory"?
                       |
      +----------------+----------------+
      |                                 |
     YES                                NO
      |                                 |
      v                                 v
[RAISE AccessDenied]            [ALLOW Tool Execution]