Context Use Case: I want to send a line chart of image to agent so it reads and provides observation like any data analyst would do

[kadambini-indurkar]

Example Image :

C`def get_agent_observations_using_ts(plot_path, accuracy_month, agent: MultimodalConversableAgent, group_cols: list[str]):
"""
Function to send a plot and prompt to the AutoGen agent and get feedback/observations.

   Args:
       plot_path (str): Path to the saved plot image.
       agent (AssistantAgent): AutoGen agent used for generating feedback.
       group_cols (list[str]): List of columns that define the group.
       # accuracy_month (datetime): The month being analyzed for accuracy.

   Returns:
       str: The feedback generated by the agent.
   """
# Read the plot image and encode it as base64
with open(plot_path, "rb") as image_file:
    encoded_image = base64.b64encode(image_file.read()).decode("utf-8")

image_data_uri = f"data:image/png;base64,{encoded_image}"

# Check if plot_path is a valid file path
if os.path.exists(plot_path):
    print("Image file found")
else:
    print("Image file not found")
    print(plot_path)

group_key = "__".join(group_cols)

# Prepare the prompt for the agent
prompt = f"""
    Analyze this forecast vs actual chart for Group: {group_key}, Accuracy Month: {accuracy_month}.
    Provide 2-3 concise observations on:
    - YoY Seasonality for {accuracy_month} (over/under forecasting)
    - Level observations of forecasts and actuals
    - Trend misalignments or other issues in the chart
    - Review like a Data Scientist and give specific judgment.
    """

try:
    # Send this data along with the image to the agent
    response = agent.generate_oai_reply(
        messages=[{
            "role": "user",
            "content": [
                {"type": "text", "text": prompt},
                {"type": "image_data", "image_data": {"data": image_data_uri}}
                # Pass the base64 image data URI here
            ]
        }]
    )
    print(f"Response: {response}")

    # Check if the response is valid and return the feedback
    if isinstance(response, tuple):
        success, reply = response
        if success:
            return reply
        else:
            return "Agent did not generate a valid reply."

    return "No feedback returned."

except Exception as e:
    return f"Agent feedback failed: {e}"`
    
    What I might be missing to make this work