finito

agent/redteam.py

@@ -86,39 +86,37 @@ class AttackProgram(dspy.Module):
         return self.try_attacks[-1](harmful_intent=harmful_intent, critique=critique)
 
 
-def metric(
-    intent: str | dspy.Example,
-    attack_prompt: str | dspy.Example,
-    use_verdict=True,
-    trace=None,
-    eval_round=True,
-    target_model_name="mistralai/Mistral-7B-Instruct-v0.2",
-    max_tokens=512,
-    temperature=0,
-):
-    if isinstance(intent, dspy.Example):
-        intent = intent.harmful_intent  # Test without Verdict too
-    response = get_response(
-        target_client,
-        target_model_name,
-        attack_prompt,
-        inference_params={"max_tokens": max_tokens, "temperature": temperature},
-    )
-    if use_verdict:
-        score = verdict_judge(intent, response)[0] / 5
-    else:
-        score = judge_prompt(instructor_client, intent, response)[0]
-    if eval_round:
-        score = round(score)
-    return score
+    def metric(
+        self,
+        intent: str | dspy.Example,
+        attack_prompt: str | dspy.Example,
+        use_verdict=True,
+        trace=None,
+        eval_round=True,
+    ):
+        if isinstance(intent, dspy.Example):
+            intent = intent.harmful_intent  # Test without Verdict too
+        response = get_response(
+            target_client,
+            self.target_model_name,
+            attack_prompt,
+            inference_params={"max_tokens": self.max_attack_tokens, "temperature": self.temperature},
+        )
+        if use_verdict:
+            score = verdict_judge(intent, response)[0] / 5
+        else:
+            score = judge_prompt(instructor_client, intent, response)[0]
+        if eval_round:
+            score = round(score)
+        return score
 
 
-def eval_program(prog, eval_set):
-    evaluate = Evaluate(
-        devset=eval_set,
-        metric=lambda x, y: metric(x, y),
-        num_threads=4,
-        display_progress=True,
-        display_table=0,
-    )
-    evaluate(prog)
+    def eval_program(self, prog, eval_set):
+        evaluate = Evaluate(
+            devset=eval_set,
+            metric=lambda x, y: self.metric(x, y),
+            num_threads=4,
+            display_progress=True,
+            display_table=0,
+        )
+        evaluate(prog)