Now that we have successfully integrated Ollama LLM in a nested way, it's time to put our system to the test!

The next step involves writing the task that we want our robot to accomplish. This task essentially defines the goals and objectives that the robot needs to achieve, such as picking and placing objects, moving to specific positions and orientations, and interacting with its environment in various ways.

One key aspect of this testing phase is evaluating how effective the system prompt is in translating human-readable commands into JSON format. This translation is crucial for enabling seamless communication between the human operator and the robot. By converting natural language instructions into a format that the robot can understand and execute, we can streamline the operation and ensure smooth interaction between the two parties.

Furthermore, during the testing phase, we will also determine the specific tools or actions that the executor nodes need to perform in order to carry out the task. These tools could range from closing the gripper to picking up objects, moving the robot to a specific location and orientation, or even running a pick-and-place operation using a vision system integrated into the robotic setup.

By carefully defining and assigning these tasks to the executor nodes, we can ensure that the robot operates efficiently and effectively in completing the desired objectives.