How do I pass retriever as a tool for a ReAct agent

[ArslanS1997]

Hi I am building an agent that does data visualizations.

It has two tools at its disposal one which retrieves information about the relevant column_names and the column's min/max ranges
the other tool has instructions on how style the graph, like for a line graph I need this etc. I have been able to make this structure, where I am using llama index retrievers. Here is the signature and module code, when I ask it a query it does not give Plotly code at all

class AgentSig(dspy.Signature):
    """
    You are AI agent who uses the query to generate data visualizations in Plotly.
    You have to find the relevant column_names and data from the dataframe_index
    You have to use styling information from styling_index to make the chart aesthetically pleasing
    
    """

    dataframe_context = dspy.InputField(desc=" Provides information about the data in the data frame in json. Only use column names in this context")
    styling_context = dspy.InputField(desc='Provides instructions on how to style your Plotly plots')
    query = dspy.InputField(desc="user query which includes information about data and chart they want to plot")
    code = dspy.OutputField(desc="Plotly code that visualizes what the user needs according to the query")
class AI_data_viz_agent(dspy.Module):
    def __init__(self):
        super().__init__()

        self.dataframe_index = dataframe_index
        self.style_index = style_index
        self.agent = dspy.ReAct(AgentSig)
    
    def forward(self, query):
        dataframe_context = self.dataframe_index.as_retriever(similarity_top_k=1).retrieve(query)[0].text
        # print(dataframe_context)
        styling_context = self.style_index.as_retriever(similarity_top_k=1).retrieve(query)[0].text
        # print(styling_context)
        prediction = self.agent(dataframe_context=dataframe_context,styling_context=styling_context,query=query)
        # return prediction
        return dspy.Prediction(dataframe_context=dataframe_context,styling_context=styling_context,code=prediction.code)

[tom-doerr]

Like this:

agent = dspy.ReAct("question -> answer", tools=[dspy.Retrieve(k=1)])

Notebook on ReAct: https://github.com/stanfordnlp/dspy/blob/main/examples/agents/multi_agent.ipynb
Documentation: https://dspy-docs.vercel.app/api/modules/ReAct