a7e909d39d
PR #1 (LlmProvider + OAuth) fixes: - Move provider selection from [bifrost].provider to [inference].provider (Bifrost is a provider, not the parent category — they are peers) - Add Inference category to settings TUI with provider picker - Wire build_provider() into CLI/chat/model-refresh paths so OAuth works outside server mode - Update ServerConversation to use Arc<dyn LlmProvider> for consistency PR #2 (web UI) assessment: - Remove entire web/ directory — not aligned with substrate ethos (client-side compaction model contradicts Constitution Article IV; autoCommit toggle misunderstands git-backed memory physics; vocabulary doesn't match project architecture) - Keep the 3 new REST endpoints (config, compaction-logs, token metrics) - Revert run_reflect path change (keep canonical ~/.souveraine/agents/) - Delete souveraine_fixes.patch (dev artifact) - Restore demo example (was commented out as workaround for missing file) - Copy examples/demo.rs from primary branch (was never pushed to public) Tests: 184 passed, 0 failed. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
145 lines
4.6 KiB
TOML
145 lines
4.6 KiB
TOML
# Souveraine Configuration
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# Everything is modular — enable/disable components as needed
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# === INFERENCE PROVIDER ===
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# Select which provider answers model calls.
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# "bifrost" (default) — OpenAI-compatible gateway (see [bifrost] section below).
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# "openai-oauth" — ride the Codex CLI's ChatGPT login (run
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# `codex login` first); drives
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# chatgpt.com/backend-api/codex/responses with no
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# API key. [bifrost] base_url/api_key/virtual_key are ignored
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# in this mode; set primary_model to a ChatGPT model
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# (e.g. "gpt-5.5"). Bifrost-namespaced ids are
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# tolerated and mapped to the provider default.
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[inference]
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# provider = "bifrost"
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# === BIFROST PROVIDER ===
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[bifrost]
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# Bifrost is the OpenAI-compatible API gateway
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base_url = "http://127.0.0.1:3360"
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api_key = "" # Set via `souveraine auth set` or BIFROST_KEY env var
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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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# Bifrost mode: a gateway route like "openai/kimi-k2.6".
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# openai-oauth mode: a ChatGPT model like "gpt-5.5".
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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 = "~/.souveraine/agents"
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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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