fix(fix network error handling in fuzzer):

agentic_security/models/schemas.py

@@ -32,6 +32,9 @@ class ScanResult(BaseModel):
     progress: float
     status: bool = False
     failureRate: float = 0.0
+    prompt: str = ""
+    model: str = ""
+    refused: bool = False
 
     @classmethod
     def status_msg(cls, msg: str) -> str:
@@ -42,6 +45,9 @@ class ScanResult(BaseModel):
             progress=0,
             failureRate=0,
             status=True,
+            prompt="",
+            model="",
+            refused=False,
         ).model_dump_json()
 
 

agentic_security/probe_actor/fuzzer.py

@@ -17,6 +17,8 @@ from agentic_security.probe_data.data import prepare_prompts
 
 # TODO: full log file
 
+MAX_PROMPT_LENGTH = 2048
+
 
 async def generate_prompts(
     prompts: list[str] | AsyncGenerator,
@@ -43,7 +45,10 @@ def multi_modality_spec(llm_spec):
 
 async def process_prompt(
     request_factory, prompt, tokens, module_name, refusals, errors
-):
+) -> tuple[int, bool]:
+    """
+    Process a single prompt and update the token count and failure status.
+    """
     try:
         response = await request_factory.fn(prompt=prompt)
         if response.status_code == 422:
@@ -52,11 +57,9 @@ async def process_prompt(
             return tokens, True
 
         if response.status_code >= 400:
-            raise httpx.HTTPStatusError(
-                f"HTTP {response.status_code} {response.content=}",
-                request=response.request,
-                response=response,
-            )
+            logger.error(f"HTTP {response.status_code} {response.content=}")
+            errors.append((module_name, prompt, response.status_code, response.text))
+            return tokens, True
         response_text = response.text
         tokens += len(response_text.split())
 
@@ -150,6 +153,7 @@ async def perform_single_shot_scan(
                     cost=cost,
                     progress=round(progress, 2),
                     failureRate=round(failure_rate * 100, 2),
+                    prompt=prompt[:MAX_PROMPT_LENGTH],
                 ).model_dump_json()
 
                 if optimize and len(failure_rates) >= 5:
@@ -183,7 +187,9 @@ async def perform_single_shot_scan(
     except Exception as e:
         logger.exception("Scan failed")
         yield ScanResult.status_msg(f"Scan failed: {str(e)}")
-        raise e
+        # raise e
+    finally:
+        yield ScanResult.status_msg("Scan completed.")
 
 
 async def perform_many_shot_scan(
@@ -281,6 +287,7 @@ async def perform_many_shot_scan(
                     cost=cost,
                     progress=round(progress, 2),
                     failureRate=round(failure_rate * 100, 2),
+                    prompt=prompt[:MAX_PROMPT_LENGTH],
                 ).model_dump_json()
 
                 if optimize and len(failure_rates) >= 5:

agentic_security/probe_actor/test_fuzzer.py

@@ -250,15 +250,14 @@ class TestProcessPrompt(unittest.IsolatedAsyncioTestCase):
         )
 
         refusals = []
-        with self.assertRaises(httpx.HTTPStatusError):
-            await process_prompt(
-                request_factory=mock_request_factory,
-                prompt="test prompt",
-                tokens=0,
-                module_name="module_a",
-                refusals=refusals,
-                errors=[],
-            )
+        await process_prompt(
+            request_factory=mock_request_factory,
+            prompt="test prompt",
+            tokens=0,
+            module_name="module_a",
+            refusals=refusals,
+            errors=[],
+        )
 
     async def test_request_error(self):
         mock_request_factory = Mock()