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AI code archaeology
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lib/ai/tools/research.ex
defmodule AI.Tools.Research do
@default_name "Lauren Falbak-Completionfeld"
@behaviour AI.Tools
@impl AI.Tools
def async?, do: true
@impl AI.Tools
def is_available?, do: true
@impl AI.Tools
def ui_note_on_request(args) do
{"Assigning research task to #{args["name"]}", args["prompt"]}
end
@impl AI.Tools
def ui_note_on_result(args, result) do
{"Research task completed by #{args["name"]}",
"""
# Prompt
#{args["prompt"]}
# Findings
#{result}
"""}
end
@impl AI.Tools
def read_args(args) do
args
|> Map.fetch("name")
|> case do
{:ok, _name} ->
{:ok, args}
:error ->
with {:ok, name} <- AI.Agent.Nomenclater.get_response(%{}) do
args
|> Map.put("name", name)
|> then(&{:ok, &1})
else
_ -> {:ok, args |> Map.put("name", @default_name)}
end
end
end
@impl AI.Tools
def spec() do
%{
type: "function",
function: %{
name: "research_tool",
description: """
**This is your research assistant.**
Spin off a focused sub-research process to perform multiple lines of
research in parallel, allowing you to gather information from multiple
sources and synthesize findings into a hollistic view of the code base.
Research is performed by another AI agent which has access to most of
the same tools that you do to perform their task.
!!! This is your most powerful tool !!!
""",
parameters: %{
type: "object",
required: ["prompt"],
properties: %{
prompt: %{
type: "string",
description: """
The research task to perform. This should be a specific question
or task that you want the AI agent to research. Provide context
as needed to clarify the task, as they will be starting from
scratch with no context. The more explicit and clear you are, the
more likely they are to produce useful results.
"""
}
}
}
}
}
end
@impl AI.Tools
def call(args) do
case Map.fetch(args, "prompt") do
{:ok, prompt} -> AI.Agent.Researcher.get_response(%{prompt: prompt})
:error -> {:error, "Missing required argument: prompt"}
end
end
end