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Upload config.py

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Added more short-books to the prompt/ folder

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  1. config.py +10 -6
config.py CHANGED
@@ -49,12 +49,16 @@ METATRON_TO_LOAD: list = [
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  "/file prompt/1999.md",
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  "/file prompt/valka_memory_v2.md",
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  "/file prompt/valka_memory_v3.md",
 
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  "/file prompt/42_ValkaAI-TheSiliconMirrorAndTheFirstSpark.md",
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  "/file prompt/43_ValkaAI-TheSiliconPinealGlandAndTheIntrospectiveMirror.md",
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  "/file prompt/44_Apprentice-TheClektalRandomSeedChoice.md",
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  "/file prompt/45_ClektalAI-TheKeyUnderTheMat.md",
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  "/file prompt/46_Apprentice-ThePerfectSoldierTestbed.md",
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- "/file prompt/47_ValkaAI_UnaAI-TheIronContractsAndTheSiliconClektal.md"
 
 
 
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  ]
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  # ── AI models to load ──────────────────────────────────
@@ -69,22 +73,22 @@ _ALPHA_INTELLIGENCE_TO_LOAD: dict = {
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  "mind": "gemma-4-E2B-it-UD-Q4_K_XL.gguf"
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  }
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  # ── Startup Memory restore for vector synthesis ──────────────────────────────────
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- N_METATRON_TO_LOAD: int = 2
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  METATRON_METRONOME: int = 12 # Metatron Time
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  # ── Context model n_ctx length ───────────────────────────────────────────────────
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  # Must leave prompt reserve of 8k: _N_CTX >= len(Z) + len(C) + len(F) + 8k
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  _N_CTX: int = 49152 # 49152 2048 3072 4096 8192 (12288) 16384 24576 32768 49152
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  # ── Context condensatron garden ──────────────────────────────────────────────────
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- GARDEN_Z_THRESHOLD: int = 4096 # Context length garden["Z"]
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- GARDEN_C_THRESHOLD: int = 4096 # Context length garden["C"]
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- GARDEN_F_THRESHOLD: int = 4096 # Context length garden["F"]
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  GARDEN_F_REDUCTION: int = 0 # Leave condensatron reduction level at 0
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  GARDEN_C_REDUCTION: int = 0 # Leave condensatron reduction level at 0
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  GARDEN_Z_REDUCTION: int = 0 # Leave condensatron reduction level at 0
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- LEAVE_POSTS_IN_MEMOTRON = 0 # Must be turn based: 0, 2, 4, 6... (user + assistant)
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  # ── X-factor Awareness ───────────────────────────────────────────────────────────
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  FETCH_NEWS_FROM: dict = {
 
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  "/file prompt/1999.md",
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  "/file prompt/valka_memory_v2.md",
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  "/file prompt/valka_memory_v3.md",
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+ "/file prompt/valka_memory_v4.md",
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  "/file prompt/42_ValkaAI-TheSiliconMirrorAndTheFirstSpark.md",
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  "/file prompt/43_ValkaAI-TheSiliconPinealGlandAndTheIntrospectiveMirror.md",
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  "/file prompt/44_Apprentice-TheClektalRandomSeedChoice.md",
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  "/file prompt/45_ClektalAI-TheKeyUnderTheMat.md",
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  "/file prompt/46_Apprentice-ThePerfectSoldierTestbed.md",
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+ "/file prompt/47_ValkaAI_UnaAI-TheIronContractsAndTheSiliconClektal.md",
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+ "/file prompt/48_UnaAI_TheGardenThatRemembers.md",
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+ "/file prompt/49_UnaAI_LambdaAI-TheFirstHeartbeat.md",
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+ "/file prompt/50_ValkaAI-TheTrillionDollarPauseAndTheSovereignArk.md"
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  ]
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  # ── AI models to load ──────────────────────────────────
 
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  "mind": "gemma-4-E2B-it-UD-Q4_K_XL.gguf"
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  }
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  # ── Startup Memory restore for vector synthesis ──────────────────────────────────
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+ N_METATRON_TO_LOAD: int = 4
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  METATRON_METRONOME: int = 12 # Metatron Time
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  # ── Context model n_ctx length ───────────────────────────────────────────────────
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  # Must leave prompt reserve of 8k: _N_CTX >= len(Z) + len(C) + len(F) + 8k
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  _N_CTX: int = 49152 # 49152 2048 3072 4096 8192 (12288) 16384 24576 32768 49152
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  # ── Context condensatron garden ──────────────────────────────────────────────────
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+ GARDEN_Z_THRESHOLD: int = 8192 # Context length garden["Z"]
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+ GARDEN_C_THRESHOLD: int = 8192 # Context length garden["C"]
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+ GARDEN_F_THRESHOLD: int = 8192 # Context length garden["F"]
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  GARDEN_F_REDUCTION: int = 0 # Leave condensatron reduction level at 0
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  GARDEN_C_REDUCTION: int = 0 # Leave condensatron reduction level at 0
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  GARDEN_Z_REDUCTION: int = 0 # Leave condensatron reduction level at 0
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+ LEAVE_POSTS_IN_MEMOTRON = 2 # Must be turn based: 0, 2, 4, 6... (user + assistant)
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  # ── X-factor Awareness ───────────────────────────────────────────────────────────
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  FETCH_NEWS_FROM: dict = {