6fb497d03a
- max_tokens bumped from 16384 to 32768 (extraction responses still hitting limits) - All GSD planning/completion artifacts for M002 (deployment) and M003 (DNS + LLM routing) - KNOWLEDGE.md updated with XPLTD domain setup flow and container healthcheck patterns - DECISIONS.md updated with D015 (subnet) and D016 (Ollama for embeddings)
78 lines
2.5 KiB
Python
78 lines
2.5 KiB
Python
"""Application configuration loaded from environment variables."""
|
|
|
|
from functools import lru_cache
|
|
|
|
from pydantic_settings import BaseSettings
|
|
|
|
|
|
class Settings(BaseSettings):
|
|
"""Chrysopedia API settings.
|
|
|
|
Values are loaded from environment variables (or .env file via
|
|
pydantic-settings' dotenv support).
|
|
"""
|
|
|
|
# Database
|
|
database_url: str = "postgresql+asyncpg://chrysopedia:changeme@localhost:5433/chrysopedia"
|
|
|
|
# Redis
|
|
redis_url: str = "redis://localhost:6379/0"
|
|
|
|
# Application
|
|
app_env: str = "development"
|
|
app_log_level: str = "info"
|
|
app_secret_key: str = "changeme-generate-a-real-secret"
|
|
|
|
# CORS
|
|
cors_origins: list[str] = ["*"]
|
|
|
|
# LLM endpoint (OpenAI-compatible)
|
|
llm_api_url: str = "http://localhost:11434/v1"
|
|
llm_api_key: str = "sk-placeholder"
|
|
llm_model: str = "qwen2.5:14b-q8_0"
|
|
llm_fallback_url: str = "http://localhost:11434/v1"
|
|
llm_fallback_model: str = "qwen2.5:14b-q8_0"
|
|
|
|
# Per-stage model overrides (optional — falls back to llm_model / "chat")
|
|
llm_stage2_model: str | None = None # segmentation — fast chat model recommended
|
|
llm_stage2_modality: str = "chat" # "chat" or "thinking"
|
|
llm_stage3_model: str | None = None # extraction — thinking model recommended
|
|
llm_stage3_modality: str = "chat"
|
|
llm_stage4_model: str | None = None # classification — fast chat model recommended
|
|
llm_stage4_modality: str = "chat"
|
|
llm_stage5_model: str | None = None # synthesis — thinking model recommended
|
|
llm_stage5_modality: str = "chat"
|
|
|
|
# Max tokens for LLM responses (OpenWebUI defaults to 1000 which truncates pipeline JSON)
|
|
llm_max_tokens: int = 32768
|
|
|
|
# Embedding endpoint
|
|
embedding_api_url: str = "http://localhost:11434/v1"
|
|
embedding_model: str = "nomic-embed-text"
|
|
embedding_dimensions: int = 768
|
|
|
|
# Qdrant
|
|
qdrant_url: str = "http://localhost:6333"
|
|
qdrant_collection: str = "chrysopedia"
|
|
|
|
# Prompt templates
|
|
prompts_path: str = "./prompts"
|
|
|
|
# Review mode — when True, extracted moments go to review queue before publishing
|
|
review_mode: bool = True
|
|
|
|
# File storage
|
|
transcript_storage_path: str = "/data/transcripts"
|
|
video_metadata_path: str = "/data/video_meta"
|
|
|
|
model_config = {
|
|
"env_file": ".env",
|
|
"env_file_encoding": "utf-8",
|
|
"case_sensitive": False,
|
|
}
|
|
|
|
|
|
@lru_cache
|
|
def get_settings() -> Settings:
|
|
"""Return cached application settings (singleton)."""
|
|
return Settings()
|