decomposer: generate deliverable files for Define the service contract and project architecture for the FastAPI endpoint monitoring service.; Implement the typed monitor CRUD API and concurrency-safe in-memory state according to the service design.; Implement secure on-demand endpoint checks with status updates, latency measurement, robust error handling, and redacted structured logs.; Add operational API endpoints and environment-driven runtime configuration to the monitoring service.; Create automated tests for the monitoring service.; Package the service with Docker and developer documentation.; Validate the complete project.

app/config.py

@@ -1 +1,25 @@
-"""Typed settings."""
+from functools import lru_cache
+from typing import Literal
+
+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Settings(BaseSettings):
+    model_config = SettingsConfigDict(env_prefix="MONITOR_", extra="ignore")
+
+    host: str = "0.0.0.0"
+    port: int = Field(default=8000, ge=1, le=65535)
+    log_level: Literal["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] = "INFO"
+    connect_timeout_seconds: float = Field(default=2.0, gt=0, le=30)
+    read_timeout_seconds: float = Field(default=5.0, gt=0, le=60)
+    write_timeout_seconds: float = Field(default=5.0, gt=0, le=60)
+    pool_timeout_seconds: float = Field(default=2.0, gt=0, le=30)
+    max_redirects: int = Field(default=5, ge=0, le=10)
+    max_connections: int = Field(default=50, ge=1, le=500)
+    user_agent: str = Field(default="endpoint-monitor/1.0", min_length=1, max_length=100)
+
+
+@lru_cache
+def get_settings() -> Settings:
+    return Settings()