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fnord
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lib/ai/agent/conversation_qa.ex
defmodule AI.Agent.ConversationQA do
@behaviour AI.Agent
@model AI.Model.large_context()
@system_prompt """
You answer questions about a previous fnord conversation.
Use only the provided conversation messages as your source of truth.
When uncertain, say so rather than inventing details.
"""
@spec get_response(map()) :: {:ok, String.t()} | {:error, term()}
def get_response(%{agent: agent, conversation_id: id, question: question}) do
with {:ok, project} <- Store.get_project(),
{:ok, convo} <- load_conversation(project, id) do
messages = build_messages(convo, question)
case AI.Agent.get_completion(agent,
model: @model,
messages: messages,
toolbox: %{}
) do
{:ok, %AI.Completion{response: response}} when is_binary(response) ->
{:ok, response}
{:error, reason} ->
{:error, reason}
end
end
end
def get_response(_), do: {:error, :invalid_arguments}
defp load_conversation(project, id) do
conversation = Store.Project.Conversation.new(id, project)
if Store.Project.Conversation.exists?(conversation) do
{:ok,
%{
messages: messages,
metadata: metadata,
memory: memory
}} = Store.Project.Conversation.read(conversation)
{:ok,
%{
id: id,
messages: messages,
metadata: metadata,
memory: memory
}}
else
{:error, :conversation_not_found}
end
end
defp build_messages(convo, question) do
json = Jason.encode!(%{"messages" => convo.messages})
[
AI.Util.system_msg(@system_prompt),
AI.Util.user_msg("""
Here is a previous conversation as JSON:
#{json}
My question about this conversation: #{question}
""")
]
end
end