The AIOS Engine v5.1 has been initialized successfully. Here's a summary of the output: * **Engine Logs:** The engine logged its initialization steps, starting with "INIT: 5.1mfc-logopt Started." and concluding with "START: Done." * **Output Package (`A_LLM`):** * `s`: "A_LLM" (Indicates the engine is requesting an action from the LLM Orchestrator). * `rd` (Request Details): * `tt`: "UIR_PO" (User Input Request - Present Options). * `pu`: "AIOS v5.1mfc-logopt Ready. How to begin?" (Prompt to be shown to the user). * `ctd.o` (Options): 1. `{"v": "NP", "l": "1. New Process"}` 2. `{"v": "EE", "l": "2. Evolve Engine"}` 3. `{"v": "TA", "l": "3. Terminate"}` * `eid`: "JSON {'s':'UC','c':<v>}" (Expected input format: a JSON object with status "UC" and the chosen option value in "c"). * `ch`: "A_MFC_v5_1().k_pirc(r)" (Continuation Hint: the method to call in the next turn with the user's response). * `ces` (Current Exported State): A JSON string representing the engine's current state. This string is crucial and needs to be saved and provided back to the engine in the next turn to continue the session. **Next Steps:** To proceed, you (or the LLM Orchestrator) need to: 1. Present the options to the user: "AIOS v5.1mfc-logopt Ready. How to begin? \n1. New Process \n2. Evolve Engine \n3. Terminate" 2. Receive the user's choice (e.g., "NP", "EE", or "TA"). 3. Prepare the `simulated_llm_response_obj` in the format `{"s": "UC", "c": "USER_CHOICE"}`. 4. Construct the Python script for the next turn, which will: * Re-instantiate `A_MFC_v5_1` using the `ces` string from this output. * Call the method specified in the `ch` field (`engine_instance.k_pirc(simulated_llm_response_obj)`). Please provide the user's choice so I can simulate the next turn. Remember to also "save" the `ces` string from the output above.