docs: apply fleet-template (16-artifact scaffold)
Adds missing standard artifacts: - README.md (if missing) - AGENTS.md (AI agent contract) - PLAN.md (current sprint) - STATUS.md (where we are) - DEVELOPMENT.md (dev workflow) - DEPLOYMENT.md (deploy procedure) - TESTING.md (test strategy) - DECISIONS.md (ADR index + templates) - .github/CODEOWNERS - .github/workflows/ci.yml Preserves all existing artifacts. Refs: RugMunchMedia/fleet-template
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settings.py
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settings.py
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"""Pry — centralized settings via Pydantic BaseSettings.
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Every env var lives here. Import `settings` singleton everywhere else."""
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class PrySettings(BaseSettings):
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model_config = SettingsConfigDict(
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env_prefix="PRY_",
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env_file=".env",
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env_file_encoding="utf-8",
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case_sensitive=False,
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extra="ignore",
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)
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# Core
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url: str = "http://localhost:8002"
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host: str = "0.0.0.0"
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port: int = 8002
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# Ollama LLM endpoint
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ollama_url: str = "http://100.100.18.18:11434"
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# FlareSolverr Cloudflare bypass endpoint
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flaresolverr_url: str = "http://flaresolverr:8191/v1"
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# Webhook secret for job callbacks
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webhook_secret: str = "pry-webhook-secret"
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# API key for endpoint authentication (empty = disabled)
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api_key: str = ""
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# OpenRouter API key (optional, for vision models)
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openrouter_api_key: str = ""
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# Proxy / Tor
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proxy_url: str = ""
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proxy_type: str = "http"
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proxy_username: str = ""
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proxy_password: str = ""
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tor_enabled: bool = False
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tor_socks5_host: str = "tor"
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tor_socks5_port: int = 9050
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# Rotation
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ip_rotation: str = ""
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max_retries: int = 0
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min_quality: int = 0
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rate_limit_rpm: int = 0
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# Redis (optional, for job queue persistence)
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redis_url: str = "redis://localhost:6379/0"
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settings = PrySettings()
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