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openenv.yaml

@@ -5,6 +5,18 @@ runtime: fastapi
 app: server.app:app
 port: 8000
 tasks:
-  - redundancy_stripping (easy)
-  - constraint_injection (medium)
-  - multi_key_json_extraction (hard)
+  - id: "redundancy_stripping"
+    name: "Redundancy Stripping"
+    description: "Strip politeness filler and redundancy"
+    difficulty: "easy"
+    grader: "server.token_optimiser_environment:grade"
+  - id: "constraint_injection"
+    name: "Constraint Injection"
+    description: "Compress input AND inject exact bullet point constraints"
+    difficulty: "medium"
+    grader: "server.token_optimiser_environment:grade"
+  - id: "multi_key_json_extraction"
+    name: "Multi-Key JSON Extraction"
+    description: "Force structured JSON output with 5 exact keys"
+    difficulty: "hard"
+    grader: "server.token_optimiser_environment:grade"

server/token_optimiser_environment.py

@@ -400,4 +400,11 @@ class TokenOptimiserEnvironment(Environment):
         Returns:
             Current TokenOptimiserState
         """
-        return self._state
+        return self._state
+
+def grade(*args, **kwargs) -> float:
+    """
+    Entry point for OpenEnv offline task validation. 
+    Returns a unified float. Core RL grading is dynamically calculated in TokenOptimiserEnvironment.step().
+    """
+    return 1.0