052c7e3741
contextual_request + contextual_scope_update are the only WS flows for ad-hoc contextual chat now. Floating system prompt constant removed; Langfuse 'floating_system' is deleted in a separate manual step. Also removes floating-agent LLM slot from llm.py and the associated LLM_MODEL_FLOATING_AGENT setting entry.
86 lines
3.6 KiB
Python
86 lines
3.6 KiB
Python
from typing import Literal
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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DATABASE_URL: str = "postgresql+asyncpg://postgres:postgres@localhost:5432/adiuvai"
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JWT_SECRET: str = "change-me-in-production"
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JWT_ALGORITHM: str = "HS256"
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JWT_ACCESS_TOKEN_EXPIRE_MINUTES: int = 30
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JWT_REFRESH_TOKEN_EXPIRE_DAYS: int = 30
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STRIPE_SECRET_KEY: str = ""
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STRIPE_WEBHOOK_SECRET: str = ""
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OPENAI_API_KEY: str = ""
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ANTHROPIC_API_KEY: str = ""
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GOOGLE_API_KEY: str = ""
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CEREBRAS_API_KEY: str = ""
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GROQ_API_KEY: str = ""
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DEEPSEEK_API_KEY: str = ""
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LLM_MODEL: str = "gpt-4o"
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LLM_EMBED_MODEL: str = "text-embedding-3-small"
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# Per-agent model overrides. Leave empty to fall back to LLM_MODEL.
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LLM_MODEL_CLASSIFIER: str = "" # classifier (intent routing, future use)
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LLM_MODEL_HOME_AGENT: str = "" # home-agent (run_single_agent / stream)
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LLM_MODEL_UNIFIED_PROCESSOR: str = "" # unified-processor (agent_runner)
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LLM_MODEL_CLOUD_PROCESSOR: str = "" # cloud-processor (agent_runner)
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LLM_MODEL_BRIEF_AGENT: str = "" # brief-agent (home + project text briefs)
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LLM_MODEL_TASK_BRIEF_AGENT: str = "" # task-brief-agent (per-task deep research)
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LLM_MODEL_SETUP_AGENT: str = "" # agent-setup journey
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LLM_MODEL_MEMORY_EXTRACTOR: str = "" # memory-extractor (Phase 2 extract/decide)
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LLM_MODEL_MEMORY_MINER: str = "" # memory-miner (Phase 5 proactive mining)
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LLM_MODEL_MEMORY_AUDITOR: str = "" # memory-auditor (Phase 7 weekly audit)
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# GitHub Copilot OAuth token storage directory.
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# Leave empty to use the LiteLLM default (~/.config/litellm/github_copilot).
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# In Docker, set this to a path backed by a named volume so tokens survive restarts.
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GITHUB_COPILOT_TOKEN_DIR: str = ""
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# OAuth client credentials — used for Gmail and Microsoft (Outlook/Teams) flows.
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GMAIL_CLIENT_ID: str = ""
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GMAIL_CLIENT_SECRET: str = ""
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MS_CLIENT_ID: str = ""
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MS_CLIENT_SECRET: str = ""
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# MS_TENANT_ID: set to 'common' to allow multi-tenant (personal + work accounts).
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MS_TENANT_ID: str = "common"
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# Google Login OAuth credentials — scope: openid email profile.
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# Separate from GMAIL_CLIENT_ID/SECRET (which uses gmail.readonly scope).
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GOOGLE_AUTH_CLIENT_ID: str = ""
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GOOGLE_AUTH_CLIENT_SECRET: str = ""
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# The redirect URI registered in Google Cloud Console.
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# Google redirects here after consent; this backend route then bounces to
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# the adiuvai:// deep link so the Electron app receives the code.
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# Dev: http://localhost:8000/api/v1/auth/oauth/google/web-callback
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# Prod: https://api.adiuvai.com/api/v1/auth/oauth/google/web-callback
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OAUTH_REDIRECT_URI: str = "http://localhost:8000/api/v1/auth/oauth/google/web-callback"
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# Fernet key (URL-safe base64, 32-byte key) for at-rest encryption of OAuth
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# tokens stored in cloud_agent_configs.oauth_token_encrypted.
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# Generate with: from cryptography.fernet import Fernet; Fernet.generate_key()
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OAUTH_ENCRYPTION_KEY: str = ""
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CORS_ORIGINS: list[str] = [
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"app://.",
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"http://localhost:3000",
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"http://localhost:5173",
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"http://localhost:4173", # Vite preview (web SPA)
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"https://app.adiuvai.com", # Production web portal
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]
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LANGFUSE_SECRET_KEY: str = ""
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LANGFUSE_PUBLIC_KEY: str = ""
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LANGFUSE_BASE_URL: str = "https://cloud.langfuse.com"
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SCHEDULER_ENABLED: bool = True
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ENV: Literal["dev", "prod"] = "dev"
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model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
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settings = Settings()
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