Behaviour for answer generation in the Agent pipeline.

The answerer generates the final response based on the question and retrieved context chunks.

Built-in Implementations

• Arcana.Agent.Answerer.LLM - Uses your LLM to generate answers (default)

Implementing a Custom Answerer

defmodule MyApp.TemplateAnswerer do
  @behaviour Arcana.Agent.Answerer

  @impl true
  def answer(question, chunks, _opts) do
    context = Enum.map_join(chunks, "

", & &1.text)

    answer = "Based on " <> Integer.to_string(length(chunks)) <> " sources:

" <> context

    {:ok, answer}
  end
end

Using a Custom Answerer

Agent.new(question, repo: repo, llm: llm)
|> Agent.search()
|> Agent.answer(answerer: MyApp.TemplateAnswerer)

Using an Inline Function

Agent.answer(ctx,
  answerer: fn question, chunks, opts ->
    llm = Keyword.fetch!(opts, :llm)
    prompt = build_my_prompt(question, chunks)
    Arcana.LLM.complete(llm, prompt, [], [])
  end
)