H2OIDE

TRITON FLASH-ATTENTION 2 & PAGED KV CACHE LAYER (Mathematical stub for Local H2O-Danube 500M/1.8B execution)

Auto-generated 2026-08-14 23:53 from source — branch main, 25 Python modules, 35 other files.

Architecture

  Blueprint.md
  CHANGELOG.md
  DATA_FLOW.md
  ENTERPRISE_INIT.p
  GLOBAL_PEDAGOGY.md
  PEDAGOGY_90_STEP_ARCHITECTURE.md
  PEDAGOGY_LEDGER_DUMP.sql
  PROJECT_LOG.md
  PROMPT_GUIDE.md
  README.md
  README_ENTERPRISE.md
  README_TEMPLATE.md
  sandbox_repo/
  skills/
    terminal.json
  teaching_sandbox/
  training_lab/
    event_01aa7be7.json
    event_1264cda6.json
    event_162ca735.json
    event_64b3a0e7.json
    event_6cf45c46.json
  training_sandbox/
    gen_10_20260526_074241.md
    gen_1_20260525_233908.md
    gen_2_20260526_003908.md
    gen_3_20260526_013908.md
    gen_4_20260526_023908.md
    gen_5_20260526_033908.md
    gen_6_20260526_043908.md
    gen_7_20260526_053908.md
    gen_8_20260526_063908.md
    gen_9_20260526_074216.md

Dependencies

External packages imported by this project:

cmd, flask, requests, yaml

How to run

Executable entry points (have a __main__ block):

• python agy_python.py
• python anti_hang_watchdog.py
• python autonomous_engine.py
• python cognitive_db.py
• python daemon.py
• python danube_logic_orchestrator.py
• python genetic_optimizer.py
• python h2o_cli_ide.py
• python h2o_db_schema.py
• python headless_project_suite.py
• python initialize_enterprise_project.py
• python matrix_orchestrator.py

Modules

agy_python.py

• get_openrouter_config()
• log_interaction(prompt, response)
• call_openrouter(prompt)
• main()

anti_hang_watchdog.py

• trigger_failover()
• execute_with_watchdog(func) — Executes a function and returns a failover result if it hangs.

autonomous_engine.py

• run_automated_tasks()

cognitive_db.py

• init_db()

daemon.py

• background_sync()
• run_ide()

danube_logic_orchestrator.py

• class DanubeOrchestrator
  • methods: run_ai, distill_intent, plan, save_tree, display_tree, execute_task, test_task, sync, run

fuzzy_logic_gate.py

• get_templates()
• calculate_jaccard_similarity(text1, text2) — Algebraic overlap: |A intersection B| / |A union B|
• match_predictive_topology(user_intent) — Acts as a fuzzy logic gate. Maps the user intent to a specific topological

genetic_optimizer.py

• prune_prompt(prompt_text, max_len) — Prunes a prompt to keep only the highest density of instructional tokens.
• hash_state(prompt)
• get_environmental_penalty() — Reads system thermal limits for algebraic balancing.
• fitness(response_text, duration)
• run_darwin_loop()

h2o_cli_ide.py

• class H2OIDE
  • methods: extract_gemini_key, connect_agentic_network, _raw_ai_call, call_ai_engine, save_conversation, default, do_github_sync, do_exit

h2o_db_schema.py

• init_layered_schema()

headless_project_suite.py

• get_state()
• update_state(key, value)
• set_roadmap(roadmap_steps)
• advance_step()
• inject_context(prompt)

initialize_enterprise_project.py

• get_token()
• generate_ascii_tree(path) — ASCII tree generator.
• initialize()

matrix_orchestrator.py

• print_topic_update(title, summary, intent) — Mirrors the agentic topic update structure.
• enforce_pacing() — Ensures we do not exceed OpenRouter API ping limits.
• run_cognitive_layer(prompt) — Hits the OpenRouter API via aichat CLI.
• run_execution_layer(plan) — Extracts commands and uses Aider to implement changes.
• run_sync_layer(message) — Triggers the Github Operator to upload.
• main()

network_hook.py

• webhook()

pedagogy_loop.py

• log_to_ledger(task, cmd)
• call_llm_agy(task)
• teach()

pedagogy_mirror_builder.py

• extract_api_key()
• generate_mirror(language, iteration, mutation_factor) — Hits LiteLLM Gateway to generate a structural mirror in another language.
• fitness_evaluation(code, language) — Calculates fitness based on execution speed and string density.
• run_100x_loop()

semantic_evolution.py

• simulate_llm_classification(prompt_template, user_input, context) — Simulate an LLM reading the prompt and categorizing the input.
• evolve()

slow_pedagogy_daemon.py

• throttle_cpu()
• check_lock()
• execute_pedagogy_cycle(generation)

training_lab_engine.py

• class TritonChooserLab
  • methods: load_weights, save_weights, triton_chooser_logic, run_permutation_event, save_event

triton_danube_kernel.py

TRITON FLASH-ATTENTION 2 & PAGED KV CACHE LAYER (Mathematical stub for Local H2O-Danube 500M/1.8B execution)

• class TritonPagedAttention
  • methods: allocate_block, compute_flash_attention
• class AsynchronousSampler
  • methods: sample_logits

Public API index

Module	Function	Signature
agy_python	call_openrouter	call_openrouter(prompt)
agy_python	get_openrouter_config	get_openrouter_config()
agy_python	log_interaction	log_interaction(prompt, response)
agy_python	main	main()
anti_hang_watchdog	execute_with_watchdog	execute_with_watchdog(func)
anti_hang_watchdog	trigger_failover	trigger_failover()
autonomous_engine	run_automated_tasks	run_automated_tasks()
cognitive_db	init_db	init_db()
daemon	background_sync	background_sync()
daemon	run_ide	run_ide()
fuzzy_logic_gate	calculate_jaccard_similarity	calculate_jaccard_similarity(text1, text2)
fuzzy_logic_gate	get_templates	get_templates()
fuzzy_logic_gate	match_predictive_topology	match_predictive_topology(user_intent)
genetic_optimizer	fitness	fitness(response_text, duration)
genetic_optimizer	get_environmental_penalty	get_environmental_penalty()
genetic_optimizer	hash_state	hash_state(prompt)
genetic_optimizer	prune_prompt	prune_prompt(prompt_text, max_len)
genetic_optimizer	run_darwin_loop	run_darwin_loop()
h2o_db_schema	init_layered_schema	init_layered_schema()
headless_project_suite	advance_step	advance_step()
headless_project_suite	get_state	get_state()
headless_project_suite	inject_context	inject_context(prompt)
headless_project_suite	set_roadmap	set_roadmap(roadmap_steps)
headless_project_suite	update_state	update_state(key, value)
initialize_enterprise_project	generate_ascii_tree	generate_ascii_tree(path)
initialize_enterprise_project	get_token	get_token()
initialize_enterprise_project	initialize	initialize()
matrix_orchestrator	enforce_pacing	enforce_pacing()
matrix_orchestrator	main	main()
matrix_orchestrator	print_topic_update	print_topic_update(title, summary, intent)
matrix_orchestrator	run_cognitive_layer	run_cognitive_layer(prompt)
matrix_orchestrator	run_execution_layer	run_execution_layer(plan)
matrix_orchestrator	run_sync_layer	run_sync_layer(message)
network_hook	webhook	webhook()
pedagogy_loop	call_llm_agy	call_llm_agy(task)
pedagogy_loop	log_to_ledger	log_to_ledger(task, cmd)
pedagogy_loop	teach	teach()
pedagogy_mirror_builder	extract_api_key	extract_api_key()
pedagogy_mirror_builder	fitness_evaluation	fitness_evaluation(code, language)
pedagogy_mirror_builder	generate_mirror	generate_mirror(language, iteration, mutation_factor)
pedagogy_mirror_builder	run_100x_loop	run_100x_loop()
semantic_evolution	evolve	evolve()
semantic_evolution	simulate_llm_classification	simulate_llm_classification(prompt_template, user_input, context)
slow_pedagogy_daemon	check_lock	check_lock()
slow_pedagogy_daemon	execute_pedagogy_cycle	execute_pedagogy_cycle(generation)
slow_pedagogy_daemon	throttle_cpu	throttle_cpu()

Status

• Branch: main
• Last commit: 2026-08-14 23:32:57 -0600
• File types: .md ×23, .json ×7, .go ×1, .p ×1, .yaml ×1, .sql ×1, .jsonl ×1

Recent commits

2fa2a51 [Moe autonomous] H2OIDE 2026-08-14 23:32
88747b1 [Moe autonomous] H2OIDE 2026-08-14 22:50
a7549c8 [Moe autonomous] H2OIDE 2026-08-14 22:23
b78d30f [Moe autonomous] H2OIDE 2026-08-14 21:29
eecee00 [Moe autonomous] H2OIDE 2026-08-14 20:48
baadc31 [Moe autonomous] H2OIDE 2026-08-14 20:16
403b7f0 [Moe autonomous] H2OIDE 2026-08-14 19:36
24e87ab [Moe autonomous] H2OIDE 2026-08-14 18:51

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README generated by readme_generator.py (Viper). Deterministic — derived from source, not LLM prose.