1 files changed, 48 insertions, 0 deletions
diff --git a/autogpts/autogpt/autogpt/config/ai_directives.py b/autogpts/autogpt/autogpt/config/ai_directives.py
new file mode 100644
index 000000000..6b5aa4375
--- /dev/null
+++ b/autogpts/autogpt/autogpt/config/ai_directives.py
@@ -0,0 +1,48 @@
+import logging
+from pathlib import Path
+
+import yaml
+from pydantic import BaseModel, Field
+
+from autogpt.logs.helpers import request_user_double_check
+from autogpt.utils import validate_yaml_file
+
+logger = logging.getLogger(__name__)
+
+
+class AIDirectives(BaseModel):
+    """An object that contains the basic directives for the AI prompt.
+
+    Attributes:
+        constraints (list): A list of constraints that the AI should adhere to.
+        resources (list): A list of resources that the AI can utilize.
+        best_practices (list): A list of best practices that the AI should follow.
+    """
+
+    resources: list[str] = Field(default_factory=list)
+    constraints: list[str] = Field(default_factory=list)
+    best_practices: list[str] = Field(default_factory=list)
+
+    @staticmethod
+    def from_file(prompt_settings_file: Path) -> "AIDirectives":
+        (validated, message) = validate_yaml_file(prompt_settings_file)
+        if not validated:
+            logger.error(message, extra={"title": "FAILED FILE VALIDATION"})
+            request_user_double_check()
+            raise RuntimeError(f"File validation failed: {message}")
+
+        with open(prompt_settings_file, encoding="utf-8") as file:
+            config_params = yaml.load(file, Loader=yaml.FullLoader)
+
+        return AIDirectives(
+            constraints=config_params.get("constraints", []),
+            resources=config_params.get("resources", []),
+            best_practices=config_params.get("best_practices", []),
+        )
+
+    def __add__(self, other: "AIDirectives") -> "AIDirectives":
+        return AIDirectives(
+            resources=self.resources + other.resources,
+            constraints=self.constraints + other.constraints,
+            best_practices=self.best_practices + other.best_practices,
+        ).copy(deep=True)