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 +1,28 @@
-"""Typed settings."""
+from functools import lru_cache
+
+from pydantic import Field, model_validator
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Settings(BaseSettings):
+    model_config = SettingsConfigDict(env_prefix="MONITOR_", env_file=".env", extra="ignore")
+
+    log_level: str = "INFO"
+    total_timeout_seconds: float = Field(10.0, gt=0, le=60)
+    connect_timeout_seconds: float = Field(3.0, gt=0, le=30)
+    read_timeout_seconds: float = Field(5.0, gt=0, le=30)
+    max_redirects: int = Field(5, ge=0, le=10)
+    user_agent: str = "endpoint-monitor/0.1"
+
+    @model_validator(mode="after")
+    def timeout_parts_fit(self) -> "Settings":
+        if self.connect_timeout_seconds > self.total_timeout_seconds:
+            raise ValueError("connect timeout cannot exceed total timeout")
+        if self.read_timeout_seconds > self.total_timeout_seconds:
+            raise ValueError("read timeout cannot exceed total timeout")
+        return self
+
+
+@lru_cache
+def get_settings() -> Settings:
+    return Settings()