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AI code archaeology
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lib/ai/message/user.ex
defmodule AI.Message.User do
@moduledoc """
User input message.
Internal shape (matches the chat-completions raw map shape that existing
pattern matches expect):
%AI.Message.User{role: "user", content: "<binary>"}
Wire shape (built on demand by `to_map/1`):
%{type: "message", role: "user",
content: [%{type: "input_text", text: "..."}]}
Storing `content` as a binary keeps the struct drop-in compatible with the
~150 pattern-match sites that do `msg.content` or
`%{role: "user", content: c} = msg`.
We already accept typed content parts on hydrate and collapse them back to a
single binary. Supporting rich multi-part user messages end-to-end would still
require revisiting the internal struct shape.
"""
@behaviour AI.Message
@derive {Jason.Encoder, only: [:role, :content]}
defstruct role: "user", content: ""
@type t :: %__MODULE__{role: binary(), content: binary()}
@doc "Build a user message from a binary."
@spec new(binary()) :: t()
def new(text) when is_binary(text), do: %__MODULE__{content: text}
@impl AI.Message
def text(%__MODULE__{content: c}), do: c
@impl AI.Message
def for_transcript(%__MODULE__{content: c}), do: "# USER:\n#{c}"
@impl AI.Message
def to_map(%__MODULE__{content: c}) do
%{type: "message", role: "user", content: [%{type: "input_text", text: c}]}
end
@doc """
Hydrate from a Responses-shaped or legacy chat-completions-shaped map
(atom or string keys). The Responses shape carries `content` as a list of
typed parts; we collapse those parts to a single binary.
"""
@spec from_map(map()) :: t()
def from_map(raw) do
content = AI.Message.get(raw, :content)
text =
case content do
list when is_list(list) ->
list
|> Enum.map(&part_text/1)
|> Enum.reject(&is_nil/1)
|> Enum.join("")
binary when is_binary(binary) ->
binary
nil ->
""
end
%__MODULE__{content: text}
end
defp part_text(%{} = part) do
case AI.Message.get(part, :text) do
txt when is_binary(txt) -> txt
_ -> nil
end
end
defp part_text(_), do: nil
end