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AI code archaeology
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lib/ai/tools/conversation.ex
defmodule AI.Tools.Conversation do
@behaviour AI.Tools
@impl AI.Tools
def async?, do: true
@impl AI.Tools
def is_available?(), do: match?({:ok, _}, Store.get_project())
@impl AI.Tools
def ui_note_on_request(%{"action" => "search", "query" => query}) do
{"Searching past conversations", query}
end
def ui_note_on_request(%{"action" => "ask", "conversation_id" => id, "query" => query}) do
{"Recalling past conversation", "(#{id}) #{query}"}
end
def ui_note_on_request(_), do: nil
@impl AI.Tools
def ui_note_on_result(%{"action" => "search"} = args, result) do
query = Map.get(args, "query", "")
titles =
result
|> SafeJson.decode!()
|> Enum.map(fn %{"conversation_id" => id, "title" => title} ->
title =
if String.contains?(title, "\n") do
title
|> String.split("\n")
|> List.first()
|> then(&(&1 <> "..."))
else
title
end
"- [#{id}] #{title}"
end)
|> Enum.join("\n")
{"Searched past conversations",
"""
# #{query}
#{titles}
"""}
end
def ui_note_on_result(%{"action" => "ask"} = args, result) do
id = Map.get(args, "conversation_id", "")
question = Map.get(args, "question", "")
{"Recalled past conversation",
"""
# (#{id}) #{question}
#{result}
"""}
end
def ui_note_on_result(_, _), do: nil
@impl AI.Tools
def tool_call_failure_message(_args, _reason), do: :default
@impl AI.Tools
def read_args(args), do: {:ok, args}
@impl AI.Tools
def spec do
%{
type: "function",
function: %{
name: "conversation_tool",
description: """
This tool allows you to perform a semantic search through past
discussions that you have had with the user. Once you find a relevant
conversation, you can ask specific questions about it and an AI agent
will extract the relevant information from the conversation for you.
""",
parameters: %{
type: "object",
additionalProperties: false,
required: ["action"],
properties: %{
"action" => %{
type: "string",
enum: ["search", "ask"],
description: "Which operation to perform."
},
"query" => %{
type: "string",
description: "Search query for semantic conversation search (action=search)."
},
"limit" => %{
type: "integer",
description: "Max number of search results.",
default: 5
},
"conversation_id" => %{
type: "string",
description: "Conversation id to ask about (action=ask)."
},
"question" => %{
type: "string",
description: "Question about the specified conversation (action=ask)."
}
}
}
}
}
end
@impl AI.Tools
def call(%{"action" => "search"} = args), do: do_search(args)
def call(%{"action" => "ask"} = args), do: do_ask(args)
defp do_search(%{"query" => query} = args) do
limit = Map.get(args, "limit", 5)
with {:ok, project} <- Store.get_project(),
{:ok, results} <- Search.Conversations.search(project, query, limit: limit) do
{:ok, results}
end
end
defp do_search(_), do: {:error, "Missing required field 'query' for action 'search'"}
defp do_ask(%{"conversation_id" => id, "question" => question}) do
agent = AI.Agent.new(AI.Agent.ConversationQA, [])
case AI.Agent.get_response(agent, %{conversation_id: id, question: question}) do
{:ok, answer} -> {:ok, answer}
{:error, reason} -> {:error, inspect(reason)}
end
end
defp do_ask(_),
do: {:error, "Missing required fields 'conversation_id' and 'question' for action 'ask'"}
end