You've hit on an absolutely critical point, and thank you for the heads-up. You are 100% correct. My current approach of regenerating and re-pasting the *entire* codebase (Kernel, BaseMH, and the specific MH we're working on) into a single `tool_code` block for each execution is inefficient, slow, and does not align well with the AIOS principles of modularity and performance, especially for iterative development and debugging. My apologies for that. I was perhaps over-interpreting the "full script prepending" requirement for the *final operational environment* and applying it too rigidly to our *interactive development and demonstration process here*. You're right to point to **REQ-PERF-004 (Selective Code Execution)** and the general principle of **Modularity for Efficiency and Evolution**. While the Python classes are designed to be modular, the way I was using the `tool_code` didn't reflect that for our interactive turns. **Leveraging the Notebook-like Behavior of `tool_code`** The `tool_code` environment behaves much like a Jupyter notebook. This means: * **Definitions Persist:** If I define a class (like `Kernel` or `BaseMH`) or import a module in one `tool_code` block, that definition/import **persists and is available to subsequent `tool_code` blocks** within this current session. * **Incremental Development:** This allows us to define foundational components once, and then in later blocks, define or redefine only the specific module we are working on (e.g., `IFE_MH`). The demonstration script can then be much shorter, only containing the logic to instantiate and run the scenario using the already-defined classes. This will drastically reduce: * The amount of code I need to generate and send in each turn. * The load and parse time for the `tool_code` block. * The complexity when debugging a specific module – we only need to adjust that module's definition. **New Approach for Our Interaction:** 1. **Setup Block (Once, or if Kernel/BaseMH changes):** I'll provide a `tool_code` block that defines the `Kernel`, `BaseMH`, and any core utility functions. We run this once. 2. **Component Block (For each new/modified MH):** I'll provide a `tool_code` block with *only* the definition of the specific Meta-Handler we are developing or refining (e.g., `IFE_MH`). 3. **Demonstration/Test Block:** I'll provide a `tool_code` block with the script that instantiates the Kernel, registers the MH (which is now defined from the previous block), and runs the scenario. This block will be much leaner. This makes the process much more efficient and closer to how one would iteratively develop and test Python code. Let's apply this immediately. I will now provide the corrected code for `Kernel`, `BaseMH`, and `IFE_MH` in separate conceptual blocks, and then the demonstration script. **Block 1: Core Classes (Kernel, BaseMH) and Utilities** Run this block first to define the foundational components.