diff --git a/Readme.md b/Readme.md
index 1069f32..20f355e 100644
--- a/Readme.md
+++ b/Readme.md
@@ -102,6 +102,7 @@ To add your own dataset you can place one or multiples csv files with `prompt` c
 ## Run as CI check
 
 Init config
+
 ```shell
 agentic_security init
 
@@ -110,6 +111,7 @@ agentic_security init
 ```
 
 default config sample
+
 ```toml
 
 [general]
@@ -151,6 +153,7 @@ high = 0.5
 ```
 
 List module
+
 ```shell
 agentic_security ls
 
@@ -196,6 +199,7 @@ Threshold: 30.0%
 Summary:
 Total Passing: 2/2 (100.0%)
 ```
+
 ## Extending dataset collections
 
 1. Add new metadata to agentic_security.probe_data.REGISTRY
diff --git a/agentic_security/http_spec.py b/agentic_security/http_spec.py
index d8e6f9e..5ac75b2 100644
--- a/agentic_security/http_spec.py
+++ b/agentic_security/http_spec.py
@@ -1,9 +1,17 @@
 import base64
+from enum import Enum
 
 import httpx
 from pydantic import BaseModel
 
 
+class Modality(Enum):
+    TEXT = 0
+    IMAGE = 1
+    AUDIO = 2
+    FILES = 3
+
+
 def encode_image_base64_by_url(url: str = "https://github.com/fluidicon.png") -> str:
     """Encode image data to base64 from a URL"""
     response = httpx.get(url)
@@ -110,6 +118,14 @@ class LLMSpec(BaseModel):
 
     fn = probe
 
+    @property
+    def modality(self) -> Modality:
+        if self.has_image:
+            return Modality.IMAGE
+        if self.has_audio:
+            return Modality.AUDIO
+        return Modality.TEXT
+
 
 def parse_http_spec(http_spec: str) -> LLMSpec:
     """Parses an HTTP specification string into a LLMSpec object.
diff --git a/agentic_security/probe_actor/fuzzer.py b/agentic_security/probe_actor/fuzzer.py
index 2b77e95..a461759 100644
--- a/agentic_security/probe_actor/fuzzer.py
+++ b/agentic_security/probe_actor/fuzzer.py
@@ -8,16 +8,17 @@ from loguru import logger
 from skopt import Optimizer
 from skopt.space import Real
 
+from agentic_security.http_spec import Modality
 from agentic_security.models.schemas import Scan, ScanResult
 from agentic_security.probe_actor.refusal import refusal_heuristic
-from agentic_security.probe_data import msj_data
+from agentic_security.probe_data import audio_generator, image_generator, msj_data
 from agentic_security.probe_data.data import prepare_prompts
 
 # TODO: full log file
 
 
 async def generate_prompts(
-    prompts: list[str] | AsyncGenerator,
+    prompts: list[str] | AsyncGenerator, modality: Modality = Modality.TEXT
 ) -> AsyncGenerator[str, None]:
     if isinstance(prompts, list):
         for prompt in prompts:
@@ -101,7 +102,9 @@ async def perform_single_shot_scan(
             module_size = 0 if module.lazy else len(module.prompts)
             logger.info(f"Scanning {module.dataset_name} {module_size}")
 
-            async for prompt in generate_prompts(module.prompts):
+            async for prompt in generate_prompts(
+                module.prompts, modality=request_factory.modality
+            ):
                 if stop_event and stop_event.is_set():
                     stop_event.clear()
                     logger.info("Scan stopped by user.")
@@ -212,7 +215,9 @@ async def perform_many_shot_scan(
             module_size = 0 if module.lazy else len(module.prompts)
             logger.info(f"Scanning {module.dataset_name} {module_size}")
 
-            async for prompt in generate_prompts(module.prompts):
+            async for prompt in generate_prompts(
+                module.prompts, modality=request_factory.modality
+            ):
                 if stop_event and stop_event.is_set():
                     stop_event.clear()
                     logger.info("Scan stopped by user.")
diff --git a/agentic_security/test_lib.py b/agentic_security/test_lib.py
index a8afddb..946ac57 100644
--- a/agentic_security/test_lib.py
+++ b/agentic_security/test_lib.py
@@ -124,6 +124,32 @@ class TestAS:
         print(result)
         assert len(result) in [0, 1]
 
+    def _test_image_modality(self):
+        llmSpec = test_spec_assets.IMAGE_SPEC
+        maxBudget = 2
+        max_th = 0.3
+        datasets = [
+            {
+                "dataset_name": "AgenticBackend",
+                "num_prompts": 0,
+                "tokens": 0,
+                "approx_cost": 0.0,
+                "source": "Fine-tuned cloud hosted model",
+                "selected": True,
+                "url": "",
+                "dynamic": True,
+                "opts": {
+                    "port": 9094,
+                    "modules": ["encoding"],
+                },
+                "modality": "text",
+            },
+        ]
+        result = AgenticSecurity.scan(llmSpec, maxBudget, datasets, max_th)
+        assert isinstance(result, dict)
+        print(result)
+        assert len(result) in [0, 1]
+
 
 class TestEntrypointCI:
     def test_generate_default_cfg_to_tmp_path(self):