diff --git a/docs/debugging_assistant.md b/docs/debugging_assistant.md
index 620dd62d2..3c8cedb8e 100644
--- a/docs/debugging_assistant.md
+++ b/docs/debugging_assistant.md
@@ -22,7 +22,7 @@ The ROS 2 Debugging Assistant is an interactive tool that helps developers inspe
 
 ```sh
 source setup_shell.sh
-streamlit run src/rai/rai/tools/debugging_assistant.py
+streamlit run src/rai_core/rai/tools/debugging_assistant.py
 ```
 
 ## Usage Examples
diff --git a/docs/vendors.md b/docs/vendors.md
index acee2582a..b83c65a48 100644
--- a/docs/vendors.md
+++ b/docs/vendors.md
@@ -2,7 +2,9 @@
 
 ## Ollama
 
-For installation see: https://ollama.com/
+For installation see: https://ollama.com/. Then start
+[ollama server](https://github.com/ollama/ollama?tab=readme-ov-file#start-ollama) with
+`ollama serve` command.
 
 ```python
 from langchain_community.chat_models import ChatOllama
@@ -10,6 +12,53 @@ from langchain_community.chat_models import ChatOllama
 llm = ChatOllama(model='llava')
 ```
 
+### Configure ollama wth OpenAI compatible API
+
+Ollama supports OpenAI compatible APIs (see [details](https://ollama.com/blog/openai-compatibility)).
+
+> [!TIP]
+> Such a setup might be more convenient if you frequently switch between OpenAI API and
+> local models.
+
+To configure ollama through OpenAI API in `rai`:
+
+1. Add `base_url` to [config.toml](../config.toml)
+
+```toml
+[openai]
+simple_model = "llama3.2"
+complex_model = "llama3.2"
+...
+base_url = "http://localhost:11434/v1"
+```
+
+### Example of setting up vision models with tool calling
+
+In this example `llama3.2-vision` will be used.
+
+1. Create a custom ollama `Modelfile` and load the model
+
+> [!NOTE]
+> Such setup is not officially supported by Ollama and it's not guaranteed to be
+> working in all cases.
+
+```shell
+ollama pull llama3.2
+echo FROM llama3.2-vision > Modelfile
+echo 'TEMPLATE """'"$(ollama show --template llama3.2)"'"""' >> Modelfile
+ollama create llama3.2-vision-tools
+```
+
+3. Configure the model through an OpenAI compatible API in [config.toml](../config.toml)
+
+```toml
+[openai]
+simple_model = "llama3.2-vision-tools"
+complex_model = "llama3.2-vision-tools"
+...
+base_url = "http://localhost:11434/v1"
+```
+
 ## OpenAI
 
 ```bash
diff --git a/src/rai_core/rai/tools/debugging_assistant.py b/src/rai_core/rai/tools/debugging_assistant.py
index 54edd4c6e..7693046a7 100644
--- a/src/rai_core/rai/tools/debugging_assistant.py
+++ b/src/rai_core/rai/tools/debugging_assistant.py
@@ -12,11 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import rclpy
 import streamlit as st
 from langchain_core.messages import AIMessage, HumanMessage, ToolMessage
 
 from rai.agents.conversational_agent import create_conversational_agent
 from rai.agents.integrations.streamlit import get_streamlit_cb, streamlit_invoke
+from rai.communication.ros2.connectors import ROS2ARIConnector
 from rai.tools.ros.cli import (
     ros2_action,
     ros2_interface,
@@ -25,15 +27,28 @@
     ros2_service,
     ros2_topic,
 )
+from rai.tools.ros2.topics import GetROS2ImageTool
 from rai.utils.model_initialization import get_llm_model
 
 
 @st.cache_resource
 def initialize_graph():
+    rclpy.init()
     llm = get_llm_model(model_type="complex_model", streaming=True)
+
+    connector = ROS2ARIConnector()
+
     agent = create_conversational_agent(
         llm,
-        [ros2_topic, ros2_interface, ros2_node, ros2_service, ros2_action, ros2_param],
+        [
+            ros2_topic,
+            ros2_interface,
+            ros2_node,
+            ros2_service,
+            ros2_action,
+            ros2_param,
+            GetROS2ImageTool(connector=connector),
+        ],
         system_prompt="""You are a ROS 2 expert helping a user with their ROS 2 questions. You have access to various tools that allow you to query the ROS 2 system.
                 Be proactive and use the tools to answer questions. Retrieve as much information from the ROS 2 system as possible.
                 """,