# Theus V3.0 Optimization Report (Phase 33.2)

**Date:** 2026-01-16
**Focus:** Memory Usage & Schema Overhead

## Results Summary

| Metric | Scenario | Baseline | Result | Verdict |
| :--- | :--- | :--- | :--- | :--- |
| **Memory Safety** | Heavy Zone (100MB) | 121.18 MB | **121.21 MB** (0.01MB Delta) | ✅ **PASS** (Zero-Copy) |
| **Schema Cost** | Pydantic Validation on Write | 9.32 µs/op | **17.76 µs/op** (+8.44µs) | ✅ **PASS** (< 20µs) |

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## Detailed Analysis

### 1. Heavy Zone Memory (Zero-Copy Verification)

*   **Objective:** Confirm that storing large objects (e.g., ML Model Weights, History Logs) in the `Heavy` zone does not incur copy overhead when accessed from Python (crossing the Rust FFI boundary).
*   **Method:**
    1.  Allocated a 100MB String in Python.
    2.  Moved it into Theus `ctx.heavy`.
    3.  Released local Python reference.
    4.  Accessed the object 10 times via `ctx.heavy.get()`.
*   **Result:**
    *   **Base Memory:** 21.16 MB
    *   **After Allocation:** 121.18 MB
    *   **After 10x Access:** 121.21 MB (+0.03 MB noise)
*   **Conclusion:** Theus V3 correctly implements **Zero-Copy semantics** for Heavy Zone items. It stores a smart pointer (`Arc<PyObject>`) and returns a reference, avoiding expensive data duplication.

### 2. Schema Enforcement Overhead

*   **Objective:** Measure the "tax" paid for enabling the Type Shield (Pydantic validation).
*   **Method:**
    *   **Baseline:** Transactional `update` without schema.
    *   **Target:** Transactional `update` with strict `RootSchema` enforcement.
*   **Result:**
    *   **No Schema:** 9.32 µs/op
    *   **With Schema:** 17.76 µs/op
    *   **Overhead:** **+8.44 µs** (1.9x)
*   **Conclusion:** While enabling schema nearly doubles the micro-update latency, the absolute cost (~8 microseconds) is structurally negligible for Agentic workflows where LLM calls take seconds. The reliability benefit of strictly typed state far outweighs this micro-cost.

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## Final Recommendation
**No further optimization is required.** The default configuration (Arc for Heavy, Pydantic for Schema) strikes the optimal balance between performance and safety.
