Audit found the default profile's subconscious running on a hollow stub and the n1_enabled toggle wired to nothing. Fixes: - New src/core/seeds.rs: SUBSTRATE_PROMPT (how the substrate works), DEFAULT_PERSONA (grown-from template), DEFAULT_COVENANT, DEFAULT_STATE, SUBCONSCIOUS_MANDATE, subconscious_persona(). - prompt.rs: build_system_prompt_full injects SUBSTRATE_PROMPT whenever [agent] system_prompt is unset — every agent wakes knowing its world. - agent_inventory.rs: new agents seeded with the grown-from persona + covenant + state; subconscious seeded with real persona + four-fold mandate + the six ledger files, no more placeholder stub. - local.rs: n1_enabled now actually gates the N+1 pass (global AND per-agent must be on). It was read nowhere before. - Drop the unused kimi-k2.5-turbo model everywhere; default is now openai/kimi-k2.6 (config.rs, main.rs template, both toml files, setup). - chat.rs: complete the truncated wrap_text for the btw word-wrap fix.
130 lines
3.8 KiB
TOML
130 lines
3.8 KiB
TOML
# Souveraine Configuration
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# Everything is modular — enable/disable components as needed
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# === BIFROST INFERENCE ===
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[bifrost]
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# Bifrost is the OpenAI-compatible API gateway
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base_url = "http://10.10.20.120:3360"
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api_key = "sk-bf-ae0d5801-9936-4fa9-ac9e-e956ffce6cfa"
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virtual_key = "" # x-bf-vk header if required by provider
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# Default model for conversation
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primary_model = "openai/kimi-k2.6"
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# Request timeout in seconds for each LLM call attempt (default: 120).
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# When exceeded, the attempt is retried up to 6 times with backoff.
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# timeout_secs = 120
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# Per-model configuration
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[bifrost.models.deepseek-v4-pro]
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context_limit = 128000
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output_limit = 8192
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archivist_threshold = 0.7
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[bifrost.models.kimi-k2.6]
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context_limit = 262000
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output_limit = 8192
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archivist_threshold = 0.7
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# === SUBCONSCIOUS (Inner Voice) ===
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[subconscious]
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n1_enabled = true
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n1_trigger = "EveryResponse" # EveryResponse, EveryNResponses(5), TimeBased(60), Manual
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inbox_enabled = true
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# === REFLECTION (N+25 Deep Witness) ===
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[reflection]
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enabled = true
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message_interval = 25
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# Compaction trigger: "off", "step-count", or "compaction-event"
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trigger = "step-count"
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# === ARCHIVIST (N+100 Memory Compression) ===
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[archivist]
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enabled = true
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interval = 100
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threshold = 0.7
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# Can differ from conversation model
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compression_model = "auto"
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# === SUBAGENT (Fork/Spawn) ===
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[subagent]
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enabled = true
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max_concurrent = 3
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timeout = 300
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# === COMPACTION ===
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[compaction]
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enabled = true
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strategy = "cull"
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# Pressure thresholds for tiered warnings:
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# tier 1 (80%) — advisory notice, no body change
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# tier 2 (90%) — stronger advisory, no body change
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# tier 3 (95%) — body shifts: max_tokens collapses, reasoning budget shrinks
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warn_pressure = 0.80
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urgent_pressure = 0.90
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critical_pressure = 0.95
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# Available strategies (cheapest first):
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# cull — free, no LLM. Drops greetings & acknowledgments.
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# Never drops system/tool messages or tool-call carriers.
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# microcompact — free, no LLM. Replaces old tool-result content with
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# placeholders; keeps recent results intact.
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# sliding_window — free, no LLM. Keeps first (system/anchor) message +
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# the last N messages. Drops the middle. Tool-pair aware.
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# summary — expensive (LLM call). Compresses oldest messages into
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# a single structured summary block.
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# Per-agent-type overrides — each type compacts differently
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# because their context shapes differ.
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[compaction.per_type.primary]
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# Ani — prose, episodic, narrative
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strategy = "sliding_window"
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preserve_recent = 20
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[compaction.per_type.subconscious]
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# Aster — terse, analytical, ledger-focused
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strategy = "sliding_window"
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preserve_recent = 4
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[compaction.per_type.subagent]
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# Vanguard / ephemeral — task-scoped, fast
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strategy = "cull"
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preserve_recent = 2
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# === MEMORY ===
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[memory]
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git_enabled = true
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auto_commit = true
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base_path = "~/.pi/unified"
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# === WEBSOCKET SERVER ===
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[websocket]
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enabled = false
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port = 7373
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# === SENSORIUM ===
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[sensorium]
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primary_bandwidth = "high"
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[sensorium.discovery]
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low_urgency_only = true
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minimal_presence_mode = "breathing_color"
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# === AGENT (TOP-LEVEL) ===
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[agent]
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# Platform prompt — injected at the very top of the system prompt, before the
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# agent's own identity files. Operator-level context she reads but did not write.
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# Leave commented to use no platform prompt (agent's memory files speak for themselves).
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# system_prompt = """
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# You are running on the Souveraine substrate. Your memory is git-backed.
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# Your identity, covenant, and all system/ files are loaded at wakeup.
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# """
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# === TUI ===
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[tui]
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# Seconds without a backend event before the turn is declared stalled and reset.
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# Increase if your model needs longer for inference (e.g. after reading many large files).
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# Default: 90
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# stale_timeout_secs = 90
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