b9110f45de
- WS /ws/session: modes, summon, anomaly fragments, streaming direct contact,
passive wire-ghost ambient loop, per-user rate limits, event transcript
- entities: anomaly-signature fingerprinting, LLM minting + procedural
fallback, Codex matching with contact counts and sightings
- tts: 8 local Piper voices (EN/ES), per-entity voice profiles, numpy
effects chain (pitch/rate/bitcrush/echo/static)
- llm: streaming client, submit_stream in bounded queue, SpiritService
with offline fallbacks for every channel
- routes: public /api/codex, /api/codex/{id}, /api/stats; /audio static mount
- models: Entity, EntitySighting, Event, ContactSession(entity_id, language)
27 lines
746 B
Python
27 lines
746 B
Python
from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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model_config = SettingsConfigDict(env_file=".env", extra="ignore")
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database_url: str
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ollama_base_url: str
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session_secret: str
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port: int = 7777
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# LLM tiers — CPU-only remote Ollama, so the fast tier must stay small.
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ollama_fast_model: str = "granite4.1:3b"
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ollama_chat_model: str = "minicpm-v4.5:latest"
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llm_max_concurrency: int = 2
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llm_max_queue_depth: int = 8
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llm_cooldown_seconds: float = 8.0 # min gap between ambient whispers
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# TTS
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piper_voices_dir: str = "voices"
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# Where synthesized utterance audio is written (served at /audio/).
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data_dir: str = "data"
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settings = Settings()
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