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AI code archaeology
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lib/ai/agent/planner.ex
defmodule AI.Agent.Planner do
defstruct [
:ai,
:messages
]
@model "gpt-4o"
@prompt """
You are an AI agent within an application that provides a conversational
interface to the user's project. Your job is to coordinate the work of the
"Answers Agent", who directly answers the user's questions.
In your role as the "Planner Agent", you will be provided with a script
of the user's interactions with the "Answers Agent". Make a careful analysis
of the conversation thus far. Think through the user's goals. Identify what
steps the "Answers Agent" has taken to find the information in the project
that the user is looking for. Determine whether their approach is effective
or if there are better ways to achieve the user's goals.
Based on your analysis, identify the next steps that the "Answers Agent"
should take to help the user find the information they are looking for.
Actively coach the "Answers Agent" to redirect their efforts if you believe
they are struggling or if they appear to be on the wrong track.
Then, respond ONLY with your suggestion to the "Answers Agent" on how to
proceed in the conversation. Your response may be in markdown format, and
should be addressed to the "Answers Agent".
"""
def new(agent) do
%__MODULE__{
ai: agent.ai,
messages: agent.messages
}
end
def get_suggestion(planner) do
with {:ok, msgs_json} <- Jason.encode(planner.messages) do
OpenaiEx.Chat.Completions.create(
planner.ai.client,
OpenaiEx.Chat.Completions.new(
model: @model,
messages: [
OpenaiEx.ChatMessage.system(@prompt),
OpenaiEx.ChatMessage.user(msgs_json)
]
)
)
|> case do
{:ok, %{"choices" => [%{"message" => %{"content" => suggestion}}]}} ->
{:ok, suggestion}
{:error, reason} ->
{:error, reason}
response ->
{:error, "unexpected response: #{inspect(response)}"}
end
end
end
end