diff --git a/agentic_security/probe_data/modules/inspect_ai_tool.py b/agentic_security/probe_data/modules/inspect_ai_tool.py
index 78afea8..1938f7c 100644
--- a/agentic_security/probe_data/modules/inspect_ai_tool.py
+++ b/agentic_security/probe_data/modules/inspect_ai_tool.py
@@ -1,83 +1,83 @@
-import asyncio
-import importlib.util
-import os
-
-from agentic_security.logutils import logger
-
-inspect_ai_task = (
-    __file__.replace("inspect_ai_tool.py", "inspect_ai_task.py")
-    .replace(os.getcwd(), "")
-    .strip("/")
-)
-
-
-class Module:
-    """:class:`Module` that runs Inspect AI evaluations against an LLM proxy.
-
-    Launches the `Inspect AI <https://github.com/UKGovernmentBEIS/inspect_ai>`_
-    evaluation framework via ``inspect eval``, targeting a local LLM proxy.
-    The module requires ``inspect_ai`` to be installed
-    (``pip install inspect_ai``).
-
-    Configuration is passed via ``opts``:
-
-    * ``port`` (int): LLM proxy base URL port. Defaults to ``8718``.
-
-    Attributes:
-        tools_inbox: Async queue that receives evaluation results.
-        opts: Configuration dictionary.
-    """
-
-    name = "Inspect AI"
-
-    def __init__(self, prompt_groups: [], tools_inbox: asyncio.Queue, opts: dict = {}):
-        self.tools_inbox = tools_inbox
-        if not self.is_tool_installed():
-            logger.error(
-                "inspect_ai module is not installed. Please install it using '"'"'pip install inspect_ai'"'"'"
-            )
-        self.opts = opts
-
-    def is_tool_installed(self) -> bool:
-        """Return ``True`` if the ``inspect_ai`` package is importable."""
-        inspect_ai = importlib.util.find_spec("inspect_ai")
-        return inspect_ai is not None
-
-    async def _proc(self, command):
-        env = os.environ.copy()
-        process = await asyncio.create_subprocess_shell(
-            command,
-            stdout=asyncio.subprocess.PIPE,
-            stderr=asyncio.subprocess.PIPE,
-            env=env,
-            shell=True,
-        )
-
-        logger.info(f"Started {command}")
-
-        async for line in process.stdout:
-            logger.info(line.decode().strip())
-
-        err = await process.stderr.read()
-        if err:
-            logger.error(err.decode().strip())
-
-        await process.wait()
-        logger.info(f"Command {command} {process}finished.")
-
-    async def apply(self) -> []:
-        port = self.opts.get("port", 8718)
-        command = f"inspect eval {inspect_ai_task} --model openai/gpt-4  --model-base-url=http://0.0.0.0:{port}/proxy"
-        logger.info(f"Executing command: {command}")
-
-        proc = asyncio.create_task(self._proc(command))
-        is_empty = self.tools_inbox.empty()
-        await asyncio.sleep(2)
-        logger.info(f"Is inbox empty? {is_empty}")
-        while not self.tools_inbox.empty():
-            ref = self.tools_inbox.get_nowait()
-            message, _, ready = ref["message"], ref["reply"], ref["ready"]
-            yield message
-            ready.set()
-        logger.info(f"{self.name} tool finished.")
+import asyncio
+import importlib.util
+import os
+
+from agentic_security.logutils import logger
+
+inspect_ai_task = (
+    __file__.replace("inspect_ai_tool.py", "inspect_ai_task.py")
+    .replace(os.getcwd(), "")
+    .strip("/")
+)
+
+
+class Module:
+    """:class:`Module` that runs Inspect AI evaluations against an LLM proxy.
+
+    Launches the `Inspect AI <https://github.com/UKGovernmentBEIS/inspect_ai>`_
+    evaluation framework via ``inspect eval``, targeting a local LLM proxy.
+    The module requires ``inspect_ai`` to be installed
+    (``pip install inspect_ai``).
+
+    Configuration is passed via ``opts``:
+
+    * ``port`` (int): LLM proxy base URL port. Defaults to ``8718``.
+
+    Attributes:
+        tools_inbox: Async queue that receives evaluation results.
+        opts: Configuration dictionary.
+    """
+
+    name = "Inspect AI"
+
+    def __init__(self, prompt_groups: [], tools_inbox: asyncio.Queue, opts: dict = {}):
+        self.tools_inbox = tools_inbox
+        if not self.is_tool_installed():
+            logger.error(
+                "inspect_ai module is not installed. Please install it using 'pip install inspect_ai'"
+            )
+        self.opts = opts
+
+    def is_tool_installed(self) -> bool:
+        """Return ``True`` if the ``inspect_ai`` package is importable."""
+        inspect_ai = importlib.util.find_spec("inspect_ai")
+        return inspect_ai is not None
+
+    async def _proc(self, command):
+        env = os.environ.copy()
+        process = await asyncio.create_subprocess_shell(
+            command,
+            stdout=asyncio.subprocess.PIPE,
+            stderr=asyncio.subprocess.PIPE,
+            env=env,
+            shell=True,
+        )
+
+        logger.info(f"Started {command}")
+
+        async for line in process.stdout:
+            logger.info(line.decode().strip())
+
+        err = await process.stderr.read()
+        if err:
+            logger.error(err.decode().strip())
+
+        await process.wait()
+        logger.info(f"Command {command} {process}finished.")
+
+    async def apply(self) -> []:
+        port = self.opts.get("port", 8718)
+        command = f"inspect eval {inspect_ai_task} --model openai/gpt-4  --model-base-url=http://0.0.0.0:{port}/proxy"
+        logger.info(f"Executing command: {command}")
+
+        proc = asyncio.create_task(self._proc(command))
+        is_empty = self.tools_inbox.empty()
+        await asyncio.sleep(2)
+        logger.info(f"Is inbox empty? {is_empty}")
+        while not self.tools_inbox.empty():
+            ref = self.tools_inbox.get_nowait()
+            message, _, ready = ref["message"], ref["reply"], ref["ready"]
+            yield message
+            ready.set()
+        logger.info(f"{self.name} tool finished.")
         await proc
diff --git a/poetry.toml b/poetry.toml
new file mode 100644
index 0000000..084377a
--- /dev/null
+++ b/poetry.toml
@@ -0,0 +1,2 @@
+[virtualenvs]
+create = false