c15f35a1df
- Update token pricing with actual gpt-5-nano-2025-08-07 prices: * Input: $0.05 per 1M = $0.00005 per 1K * Cached: $0.005 per 1M = $0.000005 per 1K * Output: $0.40 per 1M = $0.0004 per 1K - Add cached_tokens support in OpenAI service - Update cost calculation to use cached token pricing - Add cached_tokens column to token_usage table (migration) - Fix chat interface keyboard handling: * Send message on Enter key * New line on Shift+Enter * Change onKeyPress to onKeyDown for better support - Add textarea auto-resize with maxHeight limit - Improve responsive styles for mobile devices - Add iOS-specific fixes (prevent zoom on input focus)
67 lines
1.7 KiB
Python
67 lines
1.7 KiB
Python
"""
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Application configuration using Pydantic Settings.
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All configuration values are loaded from environment variables.
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"""
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from pydantic_settings import BaseSettings
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from typing import List
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class Settings(BaseSettings):
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"""Application settings loaded from environment variables"""
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# Application
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APP_NAME: str = "Seapac Ops Bot"
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APP_ENV: str = "development"
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DEBUG: bool = True
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SECRET_KEY: str
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CORS_ORIGINS: str = "http://localhost:3000"
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# Database
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DATABASE_URL: str
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# Azure AD / MSAL
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AZURE_TENANT_ID: str
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AZURE_CLIENT_ID: str
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AZURE_CLIENT_SECRET: str
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AZURE_REDIRECT_URI: str
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# OpenAI Responses API
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OPENAI_API_KEY: str
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OPENAI_VECTOR_STORE_ID: str = "vs_QkOKiQCqzCHS4iFT5lP9qUxc"
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OPENAI_MODEL: str = "gpt-5-nano-2025-08-07"
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OPENAI_API_BASE: str = "https://api.openai.com/v1"
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# Redis
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REDIS_URL: str = "redis://localhost:6379/0"
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# Rate Limiting
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RATE_LIMIT_PER_MINUTE: int = 30
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RATE_LIMIT_PER_DAY: int = 1000
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# Token Costs (USD per 1K tokens)
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# gpt-5-nano-2025-08-07 pricing
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PROMPT_TOKEN_COST: float = 0.00005
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CACHED_PROMPT_TOKEN_COST: float = 0.000005
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COMPLETION_TOKEN_COST: float = 0.0004
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@property
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def cors_origins_list(self) -> List[str]:
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"""Parse CORS origins from comma-separated string"""
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return [origin.strip() for origin in self.CORS_ORIGINS.split(",")]
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class Config:
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env_file = ".env"
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case_sensitive = True
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# Global settings instance
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settings = Settings()
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def get_settings() -> Settings:
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"""
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Dependency function to get settings instance.
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Used for FastAPI dependency injection.
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"""
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return settings
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