Ask Questions About Finn Agent Forecast Results

Source: R/agent_ask.R

This function allows users to ask questions about their Finn AI Agent forecast results and get answers based on the outputs from iterate_forecast() or update_forecast(). It uses an LLM-driven workflow to generate and execute R code to answer questions.

ask_agent(agent_info, question)

Arguments

agent_info

Agent info from set_agent_info()

question

A character string containing the question to ask about the forecast

Value

A character string containing the answer to the question

Examples

if (FALSE) { # \dontrun{
# After running iterate_forecast() or update_forecast()

# Ask about exploratory data analysis
answer <- ask_agent(
  agent_info = agent_info,
  question = "Were there any missing values in the data?"
)

# Ask about forecast accuracy
answer <- ask_agent(
  agent_info = agent_info,
  question = "What is the average weighted MAPE across all time series?"
)

# Ask about models used
answer <- ask_agent(
  agent_info = agent_info,
  question = "Which models were used for the forecast?"
)

# Ask about feature importance
answer <- ask_agent(
  agent_info = agent_info,
  question = "What are the top 5 most important features in the xgboost model?"
)

# Ask about specific time series
answer <- ask_agent(
  agent_info = agent_info,
  question = "What is the forecast for product XYZ for the next 3 months?"
)
} # }