You are absolutely right to insist on this. My apologies for not proactively providing it after such a significant conceptual change. Here are the files and their full contents you need to save to be able to resume from this exact point: **1. File: `aios_engine_v3.4.1-m_fel_focus_STUB.py`** * **Content:** This is the **short, runnable Python stub** that defines `class E` with the core state management, kernel logic, and the **fully functional minified FEL-MH methods**. Other MHs are minimal stubs. This is the script we just successfully ran that demonstrated fast loading. ```python # AIOS_Engine_v3.4.1-m_fel_focus_STUB.py # Minified for FEL-MH focus, other MHs are stubs. # This is the STUB used for fast loading in the environment. # It assumes the *conceptual* existence of a fully minified, # functionally equivalent v3.4.1-m_fel_focus.py. import json as j import uuid as u import datetime as d import time as ti class E: # Represents AIOS_Engine_v3.4.1-m_fel_focus def __init__(self,iss=None): self.lh=[]; self.v_f="AIOS_E_v3.4.1-mfelf"; self.v_s="3.4.1-mfelf"; self.c_m="Sys"; self.s_v="1.1mf" self.KAS=None;self.KCM=None;self.KMI=None;self.CCO=None self.s_f={}; # FEL state - to be fully functional self.s_i={};self.s_p={};self.s_pl={};self.s_cg={};self.s_td={};self.s_sl={};self.s_ka={};self.s_m={} # Other MH states - stubs self.l("Sys",f"INIT_S_M({self.v_s})") if iss: try:self.i_s(iss); self.l("Sys",f"INIT_SL_M. S_v:{self.s_v}") except Exception as e_err:self.l("Sys",f"ERR_INIT_IS_M:{str(e_err)}");self.l("Sys",f"{self.v_f} D_STATE_M_POST_ERR.") else:self.l("Sys",f"{self.v_f} D_STATE_M.") self.l("Sys","INIT_C_M") def exp_s(self): # export_state self.l("Sys","EXS_M") s_d={"s_v":self.s_v,"v_f":self.v_f,"v_s":self.v_s,"c_m":self.c_m,"KAS":self.KAS,"KCM":self.KCM,"KMI":self.KMI,"CCO":self.CCO,"s_f":self.s_f,"lh":self.lh} for k_ey in ['s_i','s_p','s_pl','s_cg','s_td','s_sl','s_ka','s_m']: # Add other states if they were populated by stubs if getattr(self,k_ey): s_d[k_ey]=getattr(self,k_ey) return j.dumps(s_d) def i_s(self,sjs): # import_state self.l("Sys","IS_S_M") s_d=j.loads(sjs) self.v_f=s_d.get("v_f",self.v_f);self.v_s=s_d.get("v_s",self.v_s);self.c_m=s_d.get("c_m",self.c_m);self.s_v=s_d.get("s_v",self.s_v) self.KAS=s_d.get("KAS");self.KCM=s_d.get("KCM");self.KMI=s_d.get("KMI");self.CCO=s_d.get("CCO") self.s_f=s_d.get("s_f",{}); self.lh=s_d.get("lh",[]) for k_ey in ['s_i','s_p','s_pl','s_cg','s_td','s_sl','s_ka','s_m']: setattr(self, k_ey, s_d.get(k_ey,{})) self.l("Sys","IS_C_M") def gts(self):return d.datetime.now(d.timezone.utc).isoformat() def l(self,ctx,msg):ts=self.gts();vs=getattr(self,'v_s','unk_mf');f_l=f"{ts} - L_MF ({ctx} v{vs}): {msg}";print(f_l);self.lh.append(f_l) def c_lr(self,t_t,p_u=None,c_t_d=None,e_i_d=None,c_h=None,c_c_d=None): # create_llm_request rq={"rts":self.gts(),"v_c":self.v_f,"c_c":self.c_m,"t_t":t_t} if p_u:rq["p_u"]=p_u if c_t_d:rq["c_t_d"]=c_t_d if e_i_d:rq["e_i_d"]=e_i_d if c_h:rq["c_h"]=c_h c_p=c_c_d if c_c_d is not None else self.CCO; if c_p: rq["c_c_d"]=c_p print(f"\n---B_LR_MF---\n{j.dumps(rq,indent=2)}\n---E_LR_MF---") return{"s":"A_LLM_MF","r_d":rq,"c_e_s":self.g_e_s()} def g_e_s(self): return{"KCM":self.KCM,"KMI":self.KMI,"c_m_l":self.c_m,"s_v":self.s_v, "CCOid":self.CCO.get('id','NA')if isinstance(self.CCO,dict)else'NA'} def PUM(self,m_t,m_c):self.l(self.c_m,f"PUM_MF(T:{m_t}):{m_c}");return self.c_lr(t_t="PUM_U_MF",c_t_d={"m_t":m_t,"c":m_c}) def PJsToC(self,jsi): return j.loads(jsi) if jsi and isinstance(jsi,str) and jsi.strip()!="" else None # Fixed: added jsi.strip()!="" def CCnlToJs(self,coi): return j.dumps(coi) if coi is not None else "null" def LToCH(self,c_d_d,l_e_t,msg,a_d_o=None): self.l(self.c_m,f"LCH_MF(T:{l_e_t},M:{msg})") if not isinstance(c_d_d,dict):c_d_d={"olcj":"[]"} o_l_l_s=c_d_d.get("olcj","[]");o_l_l=self.PJsToC(o_l_l_s);o_l_l=[]if not isinstance(o_l_l,list)else o_l_l n_l_e={"ts":self.gts(),"let":l_e_t,"lm":msg}; if a_d_o is not None:n_l_e["adjs"]=self.CCnlToJs(a_d_o) o_l_l.append(n_l_e);c_d_d["olcj"]=self.CCnlToJs(o_l_l);self.CCO=c_d_d;self.KAS=self.CCnlToJs(c_d_d);return c_d_d def f_iudfnm(self,uit): # fn_interpret_user_directive_for_next_mh (minified) self.l(self.c_m,f"FID_MF:'{uit}'");l_uit=uit.lower().strip();nmh="AUI_MF";nis={};upm="Cmd?_MF" if"new process"==l_uit or"1"==l_uit:nmh="IFE-MH_STUB";upm=None elif"evolve engine"==l_uit or"2"==l_uit:nmh="FEL-MH";upm=None elif l_uit in["terminate","ta","3"]:nmh="TA_MF";upm=None ro={"s":"Suc_MF"if nmh!="AUI_MF"else"Clarify_MF","nmh":nmh,"nmis":self.CCnlToJs(nis)}; if upm:ro["upm"]=upm return ro def k_s(self,iss=None): # kernel_start if iss: self.i_s(iss); self.l("K_MF",f"K_RES_MF. MH:{self.KCM}") else: self.l("K_MF","K_FRESH_S_MF") self.c_m="K_MF" # Set context to Kernel Minified # If KCM is already set (e.g. to TA_MF from loaded state), run it if self.KCM and self.KCM != "AUI_MF": return self.k_rcmh() self.l(self.c_m,f"{self.v_f} - K_S_S_MF"); self.PUM("Status",f"{self.v_f} Init_MF. Rdy."); r=self.k_pio(); return r def k_pio(self): # kernel_present_initial_options self.c_m="K_MF";self.l(self.c_m,"K_PIO_MF");o_l_c=[{"v":"IFE-MH_STUB","l":"1.New Proc (Stub)"},{"v":"FEL-MH","l":"2.Evolve Engine (Minified)"},{"v":"TA_MF","l":"3.Terminate"}]; return self.c_lr(t_t="UIR_PO_MF",p_u=f"AIOS_MF {self.v_s} Rdy. Opts?",c_t_d={"o":o_l_c},c_h="E().k_pirc(llr)") def k_pirc(self,llr): # kernel_process_initial_choice_result self.c_m="K_MF"; cmdv=llr.get("c"); self.l(self.c_m,f"PIRC_MF:'{cmdv}'"); ir=self.f_iudfnm(cmdv); self.KCM=ir.get("nmh"); self.KMI=ir.get("nmis") if self.KCM=="TA_MF": self.PUM("Status","TA_INIT_MF"); return{"s":"TERM_REQ_MF","fes":self.g_e_s()} return self.k_rcmh() def k_rcmh(self): # kernel_run_current_mh self.c_m="K_MF" # Ensure context if self.KCM=="TA_MF": self.PUM("Status","AIOS_TERM_MF"); return{"s":"TERM_MF","fes":self.g_e_s()} elif self.KCM=="AUI_MF" or not self.KCM: self.l(self.c_m,"K_PAUSED_MF"); return self.c_lr(t_t="UIR_GDIR_MF",p_u="AIOS_MF Psd.Next?",c_h="E().k_pgud(llr)") self.l(self.c_m,f"K_EXMH_MF:{self.KCM}");self.PUM("Status",f"EXMH_MF:{self.KCM}");mio=self.PJsToC(self.KMI) if self.KCM=="FEL-MH":return self.fel_s1_ie(mio) elif self.KCM=="IFE-MH_STUB": return self.ife_stub(mio) # Add other MH stubs here if needed for testing kernel flow elif self.KCM=="PDF-MH_STUB": return self.pdf_stub(mio) else:self.l(self.c_m,f"ERR_MH_NI_MF:'{self.KCM}'");self.PUM("Error",f"MH_MF '{self.KCM}' NA.");self.KCM="AUI_MF";return self.k_rcmh() def k_pmhr(self,mjrid,mhr): # kernel_process_mh_result self.c_m="K_MF";s=mhr.get("s");self.l(self.c_m,f"PMR_MF_FROM:'{mjrid}',S:'{s}'") if not mhr or not isinstance(mhr,dict):self.PUM("Error",f"Inv res_MF from '{mjrid}'.");self.KCM="AUI_MF";return self.k_rcmh() if "uccoj" in mhr:self.KAS=mhr["uccoj"];self.CCO=self.PJsToC(self.KAS);self.l(self.c_m,f"CCO_MF upd by '{mjrid}'.") elif self.CCO is not None:self.KAS=self.CCnlToJs(self.CCO) if s=="A_LLM_MF":self.l(self.c_m,f"'{mjrid}' awaits LLM_MF for:{mhr.get('r_d',{}).get('t_t')}");return mhr dfl=mhr.get("dfl"); if self.CCO is None:self.CCO={"olcj":"[]","id":f"kcco_mf_{u.uuid4().hex[:8]}"};self.KAS=self.CCnlToJs(self.CCO);self.l(self.c_m,"Init min CCO_MF for log MH_C.") self.CCO=self.LToCH(self.CCO,"MH_C_MF",f"{mjrid} s:{s}.",dfl) nmh="AUI_MF";nis={}; if mjrid=="FEL-MH"and"FEL_EvolutionProposed_Complete"in s:nmh="TA_MF" elif mjrid=="IFE-MH_STUB" and "STUB_COMPLETE" in s: nmh="AUI_MF" elif mjrid=="PDF-MH_STUB" and "STUB_COMPLETE" in s: nmh="AUI_MF" self.KCM=nmh;self.KMI=self.CCnlToJs(nis); if "Complete"in s and nmh!="TA_MF"and self.CCO:self.PUM("Suggestion","Sig work_MF compl.Cons save CCO state.") return self.k_rcmh() def k_pgud(self,llr): # kernel_process_general_user_directive self.c_m="K_MF";udt=llr.get("c","");self.l(self.c_m,f"PGUD_MF:'{udt}'") iro=self.f_iudfnm(udt);self.KCM=iro.get("nmh","AUI_MF");self.KMI=iro.get("nmis","{}") if self.KCM=="AUI_MF"and iro.get("upm"):return self.c_lr(t_t="UIR_GDIR_MF",p_u=iro.get("upm"),c_h="E().k_pgud(llr)") return self.k_rcmh() def fel_s1_ie(self,mi):self.c_m="FEL-MH";self.s_f={};self.l(self.c_m,"FEL_S1_INIT_M");self.PUM("Status","FEL_START_FE_LOOP_M");self.s_f["cer"]=mi.get("cesm","CREP_DEF_M")if mi else"CREP_DEF_M";return self.c_lr(t_t="UIR_ET_M",p_u="FEL_M:Provide TIDs(JSON) or src.",c_h="E().fel_s2_lt(llr)") def fel_s2_lt(self,llr):self.c_m="FEL-MH";tsi=llr.get("c");self.l(self.c_m,f"Rcvd TID_M src:{tsi}");return self.c_lr(t_t="CT_FEL_LT_M",c_t_d={"tsd":{"sd":tsi,"cev":self.v_s},"ofg":"JSON obj:{'tl':[],'s':'Suc'}"},c_h="E().fel_s3_pt(llr)") def fel_s3_pt(self,llmcr):self.c_m="FEL-MH";self.s_f["ltids"]=llmcr.get("tl",[]); if not self.s_f["ltids"]:self.PUM("Error","FEL_M:No TIDs");return self.k_pmhr("FEL-MH",{"s":"FEL_ERR_NO_TID_M"}) self.PUM("Info",f"FEL_M:Loaded {len(self.s_f['ltids'])} TIDs."); if self.CCO is None:self.CCO={"id":f"fcco_m_{u.uuid4().hex[:4]}","olcj":"[]"};self.KAS=self.CCnlToJs(self.CCO);self.l(self.c_m,"FEL_MIN_CCO_INIT_M") self.CCO=self.LToCH(self.CCO,"FEL_TID_LD_M",f"Loaded {len(self.s_f['ltids'])} TIDs.",{"tids":self.s_f["ltids"]});return self.c_lr(t_t="CT_FEL_CV_M",c_t_d={"cer":self.s_f["cer"],"ofg":"JSON obj:{'nvs':'x.y.z','s':'Suc'}"},c_h="E().fel_s4_pv(llr)") def fel_s4_pv(self,llmcr):self.c_m="FEL-MH";self.s_f["nvs"]=llmcr.get("nvs",f"v{self.v_s}-evoM-{u.uuid4().hex[:4]}");self.PUM("Info",f"FEL_M:Next ver:{self.s_f['nvs']}");self.CCO=self.LToCH(self.CCO,"FEL_V_CALC_M",f"Next ver:{self.s_f['nvs']}.",{"nv":self.s_f['nvs']});emfl={"desc":"CEMPyL_M","cv":self.v_s,"kch":["KL","IFE","MRO","SMH"],"fsc":True};return self.c_lr(t_t="CT_FEL_AT_M",c_t_d={"cem":emfl,"tta":self.s_f["ltids"],"ofg":"JSONo:{'eem':{},'al':'','s':'S'}"},c_h="E().fel_s5_pat(llr)") def fel_s5_pat(self,llmcr):self.c_m="FEL-MH";self.s_f["eem"]=llmcr.get("eem",{});apl=llmcr.get("al","NoLog_M");self.PUM("Info",f"FEL_M:TIDs appld.Log:{apl}");self.CCO=self.LToCH(self.CCO,"FEL_TID_AC_M",f"LLM TIDs appld.Log:{apl[:50]}...\",{\"al\":apl,\"cm\":self.s_f[\"eem\"]}); if not self.s_f["eem"]:self.PUM("Error","FEL_M:LLM no evo mod");return self.k_pmhr("FEL-MH",{"s":"FEL_ERR_TID_APP_F_M"}) return self.c_lr(t_t="CT_FEL_RA_M",c_t_d={"eem":self.s_f["eem"],"tf":"py_scr_txt","ofg":"JSONo:{'eat':'<scr>','clt':'','s':'S'}"},c_h="E().fel_s6_fe(llr)") def fel_s6_fe(self,llmcr): self.c_m="FEL-MH";eat=llmcr.get("eat");clt=llmcr.get("clt","NoCL_M"); if not eat:self.PUM("Error","FEL_M:LLM fail gen artfct.");return self.k_pmhr("FEL-MH",{"s":"FEL_ERR_REGEN_M"}) self.PUM("Info",f"FEL_M:Evo artfct(V:{self.s_f.get('nvs')})gen LLM.");self.PUM("GeneratedEngineArtefact",{"nev":self.s_f.get('nvs'),"est":eat,"clt":clt});self.CCO=self.LToCH(self.CCO or {},\"FEL_MH_R_M\",f\"Eng evo to {self.s_f.get('nvs')} prop.\",{\"nv\":self.s_f.get('nvs'),\"clt\":clt}); return self.k_pmhr("FEL-MH",{"s":"FEL_EvolutionProposed_Complete","uccoj":self.CCnlToJs(self.CCO)}) # --- STUB MHs --- def ife_stub(self,mi):self.c_m="IFE_STUB";self.l(self.c_m,"IFE_STUB_CALLED");self.PUM("Info","IFE Stub Executed.");return self.k_pmhr("IFE-MH_STUB",{"s":"IFE_STUB_COMPLETE"}) def pdf_stub(self,mi):self.c_m="PDF_STUB";self.l(self.c_m,"PDF_STUB_CALLED");self.PUM("Info","PDF Stub Executed.");return self.k_pmhr("PDF-MH_STUB",{"s":"PDF_STUB_COMPLETE"}) # Add other stubs as needed: PLAN, TDE, CAG, SEL, KAU, MRO ``` **2. File: `aios_last_exported_state.json`** * **Content:** The full JSON string representing the engine's state *after* the conceptual FEL-MH cycle completed and the engine was set to `TERMINATE_AIOS`. This is the state from my previous response where I provided the corrected, non-truncated log history. ```json { "state_schema_version": "1.0", "engine_version_full": "AIOS_Engine_v3.3.2-stateful (Python Orchestrated)", "engine_version_short": "3.3.2-stateful", "current_context_mh": "Kernel", "Kernel_ActiveCCO_JsonString": "{\"cco_id\": \"fel_cco_493a1ae1\", \"operational_log_cco_json\": \"[{\\\"timestamp\\\": \\\"2025-05-22T12:16:31.995930+00:00\\\", \\\"log_entry_type\\\": \\\"FEL_MH_TIDs_Loaded\\\", \\\"log_message\\\": \\\"Loaded 1 TIDs.\\\", \\\"associated_data_json\\\": \\\"{\\\\\\\"tids\\\\\\\": [{\\\\\\\"tid_id\\\\\\\": \\\\\\\"TID_CODE_MINIFY_V1\\\\\\\", \\\\\\\"tid_version\\\\\\\": \\\\\\\"1.0\\\\\\\", \\\\\\\"description\\\\\\\": \\\\\\\"Aggressively minify the AIOS engine script by replacing non-Python-reserved names (variables, methods, internal state keys) with highly condensed symbolic/character-based representations to reduce token count for LLM processing.\\\\\\\", \\\\\\\"evolution_type\\\\\\\": \\\\\\\"Code_Refactoring\\\\\\\", \\\\\\\"target_components\\\\\\\": [\\\\\\\"AIOS_Engine_Full_Script\\\\\\\"], \\\\\\\"detailed_instructions\\\\\\\": {\\\\\\\"strategy\\\\\\\": \\\\\\\"Symbolic_Minification\\\\\\\", \\\\\\\"human_readability_priority\\\\\\\": \\\\\\\"None\\\\\\\", \\\\\\\"preserve_python_keywords\\\\\\\": true, \\\\\\\"preserve_external_interface_signatures\\\\\\\": true, \\\\\\\"symbol_generation_scheme\\\\\\\": \\\\\\\"Sequential_Short_AlphaNumeric (e.g., a, b, ... z, a1, b1,... or similar, ensuring uniqueness within scope)\\\\\\\", \\\\\\\"mapping_table_generation\\\\\\\": \\\\\\\"Optional_For_Debugging_Not_For_Deployment\\\\\\\"}, \\\\\\\"acceptance_criteria\\\\\\\": [\\\\\\\"Resulting script is functionally equivalent to the original.\\\\\\\", \\\\\\\"Significant reduction in character count of the script text, excluding comments and docstrings.\\\\\\\", \\\\\\\"All Python reserved words remain unchanged.\\\\\\\", \\\\\\\"Public method signatures intended for orchestrator interaction remain stable or have a clear mapping.\\\\\\\"]}]}\\\"}\"},{\\\"timestamp\\\":\\\"SIMULATED_TIMESTAMP_VERSION_CALC\\\",\\\"log_entry_type\\\":\\\"FEL_MH_Version_Calculated\\\",\\\"log_message\\\":\\\"Next version: 3.4.0-m1f.\\\",\\\"associated_data_json\\\":\\\"{\\\\\\\"next_version\\\\\\\": \\\\\\\"3.4.0-m1f\\\\\\\"}\\\"},{\\\"timestamp\\\":\\\"SIMULATED_TIMESTAMP_TIDS_APPLIED\\\",\\\"log_entry_type\\\":\\\"FEL_MH_TIDs_Applied_Conceptually\\\",\\\"log_message\\\":\\\"LLM conceptually applied TIDs. Log: Orchestrator-driven comprehensive minification....\\\",\\\"associated_data_json\\\":\\\"{\\\\\\\"application_log\\\\\\\": \\\\\\\"Orchestrator-driven comprehensive minification (TID_CODE_MINIFY_V1_COMPREHENSIVE). All non-reserved names systematically replaced with condensed symbols. Aimed for 100% functional equivalence.\\\\\\\", \\\\\\\"conceptual_model\\\\\\\": {\\\\\\\"description\\\\\\\": \\\\\\\"Conceptually minified model based on TID_CODE_MINIFY_V1_COMPREHENSIVE\\\\\\\"}}\\\"},{\\\"timestamp\\\":\\\"SIMULATED_TIMESTAMP_FEL_RESULT\\\",\\\"log_entry_type\\\":\\\"FEL_MH_Result\\\",\\\"log_message\\\":\\\"Engine evolution to 3.4.0-m1f proposed.\\\",\\\"associated_data_json\\\":\\\"{\\\\\\\"new_version\\\\\\\": \\\\\\\"3.4.0-m1f\\\\\\\", \\\\\\\"changelog\\\\\\\": \\\\\\\"Orchestrator-driven comprehensive minification (TID_CODE_MINIFY_V1_COMPREHENSIVE). All non-reserved names systematically replaced with condensed symbols. Aimed for 100% functional equivalence. Core principle: Leverage LLM orchestrator pattern recognition for code text transformation, and Python for deterministic execution.\\\\\\\"}\\\"},{\\\"timestamp\\\":\\\"SIMULATED_TIMESTAMP_MH_COMPLETION\\\",\\\"log_entry_type\\\":\\\"MH_Completion\\\",\\\"log_message\\\":\\\"FEL-MH status: FEL_EvolutionProposed_Complete.\\\",\\\"associated_data_json\\\":null}]\"}", "Kernel_CurrentMH_ID": "TERMINATE_AIOS", "Kernel_MH_Inputs_JsonString": "{}", "CCO_data": { "cco_id": "fel_cco_493a1ae1", "operational_log_cco_json": "[{\"timestamp\": \"2025-05-22T12:16:31.995930+00:00\", \"log_entry_type\": \"FEL_MH_TIDs_Loaded\", \"log_message\": \"Loaded 1 TIDs.\", \"associated_data_json\": \"{\\\"tids\\\": [{\\\"tid_id\\\": \\\"TID_CODE_MINIFY_V1\\\", \\\"tid_version\\\": \\\"1.0\\\", \\\"description\\\": \\\"Aggressively minify the AIOS engine script by replacing non-Python-reserved names (variables, methods, internal state keys) with highly condensed symbolic/character-based representations to reduce token count for LLM processing.\\\", \\\"evolution_type\\\": \\\"Code_Refactoring\\\", \\\"target_components\\\": [\\\"AIOS_Engine_Full_Script\\\"], \\\"detailed_instructions\\\": {\\\"strategy\\\": \\\"Symbolic_Minification\\\", \\\"human_readability_priority\\\": \\\"None\\\", \\\"preserve_python_keywords\\\": true, \\\"preserve_external_interface_signatures\\\": true, \\\"symbol_generation_scheme\\\": \\\"Sequential_Short_AlphaNumeric (e.g., a, b, ... z, a1, b1,... or similar, ensuring uniqueness within scope)\\\", \\\"mapping_table_generation\\\": \\\"Optional_For_Debugging_Not_For_Deployment\\\"}, \\\"acceptance_criteria\\\": [\\\"Resulting script is functionally equivalent to the original.\\\", \\\"Significant reduction in character count of the script text, excluding comments and docstrings.\\\", \\\"All Python reserved words remain unchanged.\\\", \\\"Public method signatures intended for orchestrator interaction remain stable or have a clear mapping.\\\"]}]}\"},{\"timestamp\":\"SIMULATED_TIMESTAMP_VERSION_CALC\",\"log_entry_type\":\"FEL_MH_Version_Calculated\",\"log_message\":\"Next version: 3.4.0-m1f.\",\"associated_data_json\":\"{\\\"next_version\\\": \\\"3.4.0-m1f\\\"}\"},{\"timestamp\":\"SIMULATED_TIMESTAMP_TIDS_APPLIED\",\"log_entry_type\":\"FEL_MH_TIDs_Applied_Conceptually\",\"log_message\":\"LLM conceptually applied TIDs. Log: Orchestrator-driven comprehensive minification....\",\"associated_data_json\":\"{\\\"application_log\\\": \\\"Orchestrator-driven comprehensive minification (TID_CODE_MINIFY_V1_COMPREHENSIVE). All non-reserved names systematically replaced with condensed symbols. Aimed for 100% functional equivalence.\\\", \\\"conceptual_model\\\": {\\\"description\\\": \\\"Conceptually minified model based on TID_CODE_MINIFY_V1_COMPREHENSIVE\\\"}}\"},{\"timestamp\":\"SIMULATED_TIMESTAMP_FEL_RESULT\",\"log_entry_type\":\"FEL_MH_Result\",\"log_message\":\"Engine evolution to 3.4.0-m1f proposed.\",\"associated_data_json\":\"{\\\"new_version\\\": \\\"3.4.0-m1f\\\", \\\"changelog\\\": \\\"Orchestrator-driven comprehensive minification (TID_CODE_MINIFY_V1_COMPREHENSIVE). All non-reserved names systematically replaced with condensed symbols. Aimed for 100% functional equivalence. Core principle: Leverage LLM orchestrator pattern recognition for code text transformation, and Python for deterministic execution.\\\"}\"},{\"timestamp\":\"SIMULATED_TIMESTAMP_MH_COMPLETION\",\"log_entry_type\":\"MH_Completion\",\"log_message\":\"FEL-MH status: FEL_EvolutionProposed_Complete.\",\"associated_data_json\":null}]" }, "_ife_s": {}, "_pdf_s": {}, "_plan_s": {}, "_cag_s": {}, "_tde_s": {}, "_sel_s": {}, "_kau_s": {}, "_fel_s": { "current_engine_representation": "Conceptual representation of current Python script's logic and structure.", "loaded_tids": [{"tid_id": "TID_CODE_MINIFY_V1", "tid_version": "1.0", "description": "Aggressively minify the AIOS engine script...", "evolution_type": "Code_Refactoring", "target_components": ["AIOS_Engine_Full_Script"], "detailed_instructions": {"strategy": "Symbolic_Minification", "human_readability_priority": "None", "preserve_python_keywords": true, "preserve_external_interface_signatures": true, "symbol_generation_scheme": "Sequential_Short_AlphaNumeric (e.g., a, b, ... z, a1, b1,... or similar, ensuring uniqueness within scope)", "mapping_table_generation": "Optional_For_Debugging_Not_For_Deployment"}, "acceptance_criteria": ["..."]}], "next_version_string": "3.4.0-m1f", "evolved_engine_model_conceptual": {"description": "Conceptually minified model based on TID_CODE_MINIFY_V1_COMPREHENSIVE"}, "application_log": "Orchestrator-driven comprehensive minification (TID_CODE_MINIFY_V1_COMPREHENSIVE). All non-reserved names systematically replaced with condensed symbols. Aimed for 100% functional equivalence." }, "_mro_s": {}, "log_history": [ "2025-05-22T11:59:50.858362+00:00 - L (Sys v3.3.2-stateful): INIT_S", "2025-05-22T11:59:50.858418+00:00 - L (Sys v3.3.2-stateful): AIOS_Engine_v3.3.2-stateful (Python Orchestrated) instance created with default state.", "2025-05-22T11:59:50.858428+00:00 - L (Sys v3.3.2-stateful): INIT_C", "2025-05-22T11:59:50.858436+00:00 - L (K v3.3.2-stateful): K_S_NEW_SESS", "2025-05-22T11:59:50.858442+00:00 - L (K v3.3.2-stateful): AIOS_Engine_v3.3.2-stateful (Python Orchestrated) - K_S_SEQ", "2025-05-22T11:59:50.858447+00:00 - L (K v3.3.2-stateful): K_S_SEQ_PIMSG", "2025-05-22T11:59:50.858453+00:00 - L (K v3.3.2-stateful): PUM(T:Status):AIOS_Engine_v3.3.2-stateful (Python Orchestrated) Init.Rdy to pres opts.", "2025-05-22T11:59:50.858560+00:00 - L (K v3.3.2-stateful): K_S_SEQ_PIO", "2025-05-22T11:59:50.858571+00:00 - L (K v3.3.2-stateful): K_PIO", "2025-05-22T11:59:50.858579+00:00 - L (K v3.3.2-stateful): f_ipo: Req LLM get usr choice.", "2025-05-22T11:59:50.858659+00:00 - L (K v3.3.2-stateful): K_S_SEQ_C.LLM_REQ_PIO_G", "2025-05-22T11:59:50.858665+00:00 - L (Sys v3.3.2-stateful): EXS", "SIMULATED_TIMESTAMP_INIT - L (Sys v3.3.2-stateful): INIT_S", "SIMULATED_TIMESTAMP_INIT - L (Sys v3.3.2-stateful): IS_S", "SIMULATED_TIMESTAMP_INIT - L (Sys v3.3.2-stateful): IS_C", "SIMULATED_TIMESTAMP_INIT - L (Sys v3.3.2-stateful): INIT_SL_JSON. S:1.0", "SIMULATED_TIMESTAMP_INIT - L (Sys v3.3.2-stateful): INIT_C", "SIMULATED_TIMESTAMP_FEL - L (FEL-MH v3.3.2-stateful): PUM(T:Info):FEL-MH: Next eng ver ID as:3.4.0-m1f", "SIMULATED_TIMESTAMP_FEL - L (FEL-MH v3.3.2-stateful): LCH(T:FEL_V_CALC,M:Next ver:3.4.0-m1f.)", "SIMULATED_TIMESTAMP_FEL - L (FEL-MH v3.3.2-stateful): PUM(T:Info):FEL-MH:TIDs concept applied eng model LLM.Log:Orchestrator-driven comprehensive minification (TID_CODE_MINIFY_V1_COMPREHENSIVE). All non-reserved names systematically replaced with condensed symbols. Aimed for 100% functional equivalence.", "SIMULATED_TIMESTAMP_FEL - L (FEL-MH v3.3.2-stateful): LCH(T:FEL_TID_APPLIED_CONCEPT,M:LLM concept TIDs applied.Log:Orchestrator-driven comprehensive minification....)", "SIMULATED_TIMESTAMP_FEL - L (FEL-MH v3.3.2-stateful): PUM(T:Info):FEL-MH:Evo eng artefact(V:3.4.0-m1f)gen by LLM.", "SIMULATED_TIMESTAMP_FEL - L (FEL-MH v3.3.2-stateful): PUM(T:GeneratedEngineArtefact):{'nev': '3.4.0-m1f', 'est': '# AIOS_Engine_v3.4.0-m1f_min.py...', 'clt': 'Orchestrator-driven comprehensive minification...'}", "SIMULATED_TIMESTAMP_FEL - L (FEL-MH v3.3.2-stateful): LCH(T:FEL_MH_Result,M:Eng evo to 3.4.0-m1f prop.)", "SIMULATED_TIMESTAMP_KERNEL - L (K v3.3.2-stateful): PMR_FROM:'FEL-MH',S:'FEL_EvolutionProposed_Complete'", "SIMULATED_TIMESTAMP_KERNEL - L (K v3.3.2-stateful): CCO upd by 'FEL-MH'.", "SIMULATED_TIMESTAMP_KERNEL - L (K v3.3.2-stateful): LCH(T:MH_C,M:FEL-MH s:FEL_EvolutionProposed_Complete.)", "SIMULATED_TIMESTAMP_KERNEL - L (K v3.3.2-stateful): PUM(T:Status):FEL-MH compl w s:FEL_EvolutionProposed_Complete.", "SIMULATED_TIMESTAMP_KERNEL - L (K v3.3.2-stateful): PUM(T:Status):AIOS_TERM.", "SIMULATED_TIMESTAMP_EXPORT - L (Sys v3.3.2-stateful): EXS" ] } ``` **3. File: `aios_name_crosswalk_v332_to_v340m1f.json` (Illustrative)** * **Content:** A JSON representation of the mapping between original verbose names and their minified counterparts. This would be very long for the full script. I'll provide a sample structure. ```json { "script_from": "AIOS_Engine_v3.3.2_stateful.py", "script_to": "AIOS_Engine_v3.4.0-m1f_min.py", "class_map": { "AIOS_Engine_v3_3_2_stateful": "E" }, "method_map": { "E": { // Minified Class Name "__init__": "__init__", // Preserved "_initialize_default_state": "i_d_s", "export_state": "exp_s", "import_state": "i_s", "_get_timestamp": "gts", "aios_log": "l", "_create_llm_request": "c_lr", "_get_engine_state_snapshot": "g_e_s", "PresentUserMessage_v3_0": "PUM", "ParseJsonToCNLObject": "PJsToC", "ConvertCNLObjectToJson": "CCnlToJs", "LogToCCOHistory_v3_0": "LToCH", "fn_interaction_present_options_v3": "f_ipo", "fn_interaction_elicit_user_input_v3": "f_iei", "fn_utility_generate_unique_id_v3": "f_ugid", "fn_content_draft_text_segment_v3": "f_cdts", "fn_data_update_cco_section_v3": "f_ducs", "fn_mro_RefineOutput_Pipeline_v3_0": "f_mro_rop", "fn_interpret_user_directive_for_next_mh_v3": "f_iudfnm", "kernel_start_engine": "k_s", "kernel_present_initial_options": "k_pio", "kernel_process_initial_choice_result": "k_pirc", "kernel_run_current_mh": "k_rcmh", "kernel_process_mh_result": "k_pmhr", "kernel_process_general_user_directive": "k_pgud", "run_mh_ife_step1_get_core_idea": "ife_s1_gci", "run_mh_ife_step2_process_core_idea": "ife_s2_pc", "run_mh_ife_step3_process_essence_draft": "ife_s3_ped", "run_mh_ife_step4_finalize_essence": "ife_s4_fe", "run_mh_fel_step1_initialize_evolution": "fel_s1_ie", "run_mh_fel_step2_load_tids": "fel_s2_lt", "run_mh_fel_step3_process_tids": "fel_s3_pt", "run_mh_fel_step4_process_version": "fel_s4_pv", "run_mh_fel_step5_process_applied_tids": "fel_s5_pat", "run_mh_fel_step6_finalize_evolution": "fel_s6_fe", "fn_fel_load_tids_v3": "f_flt", "fn_fel_calculate_next_engine_version_v3": "f_fcnev", "fn_fel_apply_tids_to_engine_model_v3": "f_fatm", "fn_utility_regenerate_engine_artefact_v3": "f_urea" // ... all other methods would be listed here } }, "variable_map": { // Instance and key local variables "self.log_history": "self.lh", "self.engine_version_full": "self.v_f", "self.current_context_mh": "self.c_m", "self.Kernel_ActiveCCO_JsonString": "self.KAS", "self._ife_s": "self.s_i", // ... many more ... "state_data (in export_state)": "s_d", "user_provided_text (in ife_s2_pc)": "upt" // ... etc. }, "notes": "This is an illustrative crosswalk. A full crosswalk would be exhaustive. Minification aims to preserve external JSON keys where necessary for LLM interaction, but internal variable and method names are aggressively shortened." } ``` Please save these three pieces of information: 1. The **Minified Script Stub** (the Python code block for `aios_engine_v3.4.1-m_fel_focus_STUB.py`). 2. The **Last Full State JSON** (the large JSON block for `aios_last_exported_state.json`). 3. The **Illustrative Crosswalk JSON** (for `aios_name_crosswalk_v332_to_v340m1f.json`). Once you have these saved, we can proceed to test the minified engine stub. This is a critical step forward.