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Openui forge elixir

Skill OthmanAdi/openui-forge/.codebuddy/skills/openui-forge-elixir

Cross-IDE, multi-stack agent skill for OpenUI (the Open Standard for Generative UI). Adds OpenUI to existing projects across 12 backend stacks, any LLM provider, and 11 agent platforms. Scaffold, integrate, validate.

Install
npx -y skills add OthmanAdi/openui-forge --skill openui-forge-elixir

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OpenUI generative UI with Elixir Phoenix backend. Chunked SSE streaming via Plug.Conn and Req.

SKILL.md

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OpenUI Forge — Elixir

Build generative UI apps with a React frontend + Elixir Phoenix backend. Streams OpenAI API responses directly to the browser as SSE using Plug.Conn.send_chunked/2 and the Req HTTP client's streaming :into collector.

Activation Triggers

  • "openui elixir", "openui phoenix", "openui elixir backend"
  • "generative ui elixir", "elixir streaming ui backend", "phoenix sse openui"

Prerequisites

  • Node.js >= 22 (24 LTS recommended) + React >= 18.3.1 (19+ recommended) (frontend)
  • Elixir >= 1.15 with Erlang/OTP 25+ (Phoenix 1.8 baseline)
  • Phoenix ~> 1.8 (current stable; 1.8.8 as of June 2026)
  • OPENAI_API_KEY environment variable set

Quick Start

  1. Create the React frontend and install OpenUI deps:
npm install @openuidev/react-ui @openuidev/react-headless @openuidev/react-lang lucide-react zod
  1. Generate the system prompt into the Phoenix app's priv/:
npx @openuidev/cli generate ./src/lib/library.ts --out backend/priv/system-prompt.txt
  1. Create the Phoenix backend (see Full Code below)
  2. Run: mix deps.get && mix phx.server on :4000, frontend on :3000

Full Code

Backend: backend/mix.exs (deps)

defp deps do
  [
    {:phoenix, "~> 1.8.0"},
    {:bandit, "~> 1.0"},      # HTTP server (Phoenix 1.8 default)
    {:jason, "~> 1.4"},       # JSON encode/decode
    {:req, "~> 0.6"},         # HTTP client with streaming :into (v0.6.2+)
    {:cors_plug, "~> 3.0"}    # explicit-origin CORS
  ]
end

Backend: load the system prompt once at startup

Read priv/system-prompt.txt a single time and cache it in :persistent_term. Call OpenuiBackend.load_system_prompt!/0 from your Application.start/2 callback before the endpoint child starts.

# lib/openui_backend.ex
defmodule OpenuiBackend do
  @key {__MODULE__, :system_prompt}

  def load_system_prompt! do
    path = Application.app_dir(:openui_backend, "priv/system-prompt.txt")

    case File.read(path) do
      {:ok, contents} ->
        :persistent_term.put(@key, contents)
        :ok

      {:error, reason} ->
        raise "failed to read #{path}: #{:file.format_error(reason)}"
    end
  end

  def system_prompt, do: :persistent_term.get(@key)
end
# lib/openui_backend/application.ex — inside start/2, before the children list
def start(_type, _args) do
  OpenuiBackend.load_system_prompt!()

  children = [
    OpenuiBackendWeb.Endpoint
    # ...
  ]

  Supervisor.start_link(children, strategy: :one_for_one, name: OpenuiBackend.Supervisor)
end

Backend: lib/openui_backend_web/controllers/chat_controller.ex

defmodule OpenuiBackendWeb.ChatController do
  use OpenuiBackendWeb, :controller

  require Logger

  @openai_chat_path "/chat/completions"

  # POST /api/chat
  def create(conn, %{"messages" => messages}) when is_list(messages) do
    case System.get_env("OPENAI_API_KEY") do
      key when is_binary(key) and key != "" -> stream_chat(conn, messages, key)
      _ -> send_error(conn, 500, "OPENAI_API_KEY not set")
    end
  end

  def create(conn, _params), do: send_error(conn, 400, "messages must be a non-empty array")

  defp stream_chat(conn, messages, api_key) do
    base_url = System.get_env("OPENAI_BASE_URL") || "https://api.openai.com/v1"
    model = System.get_env("OPENAI_MODEL") || "gpt-5.5"

    # Prepend the server-side system prompt; never trust the client to send it.
    system_message = %{"role" => "system", "content" => OpenuiBackend.system_prompt()}
    payload = %{"model" => model, "stream" => true, "messages" => [system_message | messages]}

    # Open the SSE response before the upstream call so the first byte flushes
    # to the browser as soon as OpenAI starts emitting tokens.
    conn =
      conn
      |> put_resp_content_type("text/event-stream")
      |> put_resp_header("cache-control", "no-cache")
      |> put_resp_header("x-accel-buffering", "no")
      |> send_chunked(200)

    result =
      Req.post(
        url: base_url <> @openai_chat_path,
        json: payload,
        auth: {:bearer, api_key},
        receive_timeout: :infinity,
        # `:into` turns the response body into a stream: Req hands each upstream
        # SSE chunk to this 2-arity collector as {:data, data}. We forward it
        # verbatim with chunk/2 and halt the moment the client disconnects,
        # mirroring the Enum.reduce_while halt-on-{:error,_} pattern. Plug.Conn
        # is immutable, so we thread the latest conn through resp.private.
        into: fn {:data, data}, {req, resp} ->
          out_conn = resp.private[:openui_conn] || conn

          case Plug.Conn.chunk(out_conn, data) do
            {:ok, out_conn} ->
              {:cont, {req, Req.Response.put_private(resp, :openui_conn, out_conn)}}

            {:error, reason} ->
              Logger.debug("client disconnected mid-stream: #{inspect(reason)}")
              {:halt, {req, resp}}
          end
        end
      )

    case result do
      {:ok, %Req.Response{status: status} = resp} when status in 200..299 ->
        # OpenAI already sends a terminating `data: [DONE]` line (forwarded verbatim).
        resp.private[:openui_conn] || conn

      {:ok, %Req.Response{status: status}} ->
        Logger.error("OpenAI returned HTTP #{status}")
        push_error_frame(conn, "OpenAI returned HTTP #{status}")

      {:error, exception} ->
        Logger.error("OpenAI request failed: #{Exception.message(exception)}")
        push_error_frame(conn, "OpenAI request unreachable")
    end
  end

  defp push_error_frame(conn, message) do
    payload = Jason.encode!(%{error: message})
    _ = Plug.Conn.chunk(conn, "data: #{payload}\n\ndata: [DONE]\n\n")
    conn
  end

  defp send_error(conn, status, message) do
    conn
    |> put_resp_content_type("application/json")
    |> send_resp(status, Jason.encode!(%{error: message}))
  end
end

Backend: lib/openui_backend_web/router.ex (scope)

defmodule OpenuiBackendWeb.Router do
  use OpenuiBackendWeb, :router

  pipeline :api do
    plug :accepts, ["json"]
  end

  scope "/api", OpenuiBackendWeb do
    pipe_through :api

    post "/chat", ChatController, :create
  end
end

CORS lives in the endpoint, before the router, locked to the frontend origin (never a wildcard for the credentialed case):

# lib/openui_backend_web/endpoint.ex — before `plug OpenuiBackendWeb.Router`
plug CORSPlug,
  origin: [System.get_env("FRONTEND_ORIGIN") || "http://localhost:3000"],
  methods: ["POST", "OPTIONS"]

Frontend: app/chat/page.tsx

"use client";
import { FullScreen } from "@openuidev/react-ui";
import { openuiChatLibrary } from "@openuidev/react-ui/genui-lib";
import {
  openAIAdapter,
  openAIMessageFormat,
} from "@openuidev/react-headless";

export default function ChatPage() {
  return (
    <FullScreen
      componentLibrary={openuiChatLibrary}
      streamProtocol={openAIAdapter()}
      messageFormat={openAIMessageFormat}
      apiUrl="http://localhost:4000/api/chat"
    />
  );
}

The Phoenix backend proxies OpenAI's native SSE stream verbatim: Req's :into collector receives each upstream {:data, data} chunk and re-emits it with Plug.Conn.chunk/2 (incremental flush, no buffering), so the browser sees data: {chunk}\n\n lines and the terminating data: [DONE]. Pair it with openAIAdapter() on the frontend. openAIReadableStreamAdapter() is for NDJSON (no data: prefix) and will silently produce no output here.

req_llm (built on Req + Finch) is a higher-level alternative that handles provider SSE adaptation if you later want typed multi-provider support. This skill keeps plain Req as the dependency-light default.

System Prompt Generation

npx @openuidev/cli generate ./src/lib/library.ts --out backend/priv/system-prompt.txt

Validation Checklist

  • priv/system-prompt.txt exists in the Phoenix backend
  • OpenuiBackend.load_system_prompt!/0 is called in Application.start/2 before the endpoint
  • OPENAI_API_KEY is set in environment (honor OPENAI_BASE_URL for OpenAI-compatible providers)
  • CORS plug allows the frontend origin explicitly (not *)
  • Response streams SSE directly from OpenAI API (Req :into passthrough, chunk/2 per chunk)
  • Frontend apiUrl points to http://localhost:4000/api/chat
  • Frontend uses streamProtocol={openAIAdapter()} and openAIMessageFormat
  • componentLibrary={openuiChatLibrary} prop passed to FullScreen
  • CSS import in root layout (@openuidev/react-ui/components.css)

Error Patterns

ErrorCauseFix
CORS blockedOrigin mismatchSet FRONTEND_ORIGIN and confirm CORSPlug runs before the router
:persistent_term key not foundPrompt not loaded at bootCall OpenuiBackend.load_system_prompt!/0 in Application.start/2
(File.Error) could not read priv/system-prompt.txtFile missingRun the CLI generate command into priv/
500 OPENAI_API_KEY not setEnv var missingExport OPENAI_API_KEY before mix phx.server
Empty responseWrong frontend adapterBackend emits SSE; use openAIAdapter(), not openAIReadableStreamAdapter()
Stream stalls / cut at ~60sCowboy idle timeoutOn Bandit (default) no cap; on Cowboy set protocol_options: [idle_timeout: :infinity]
function send_chunked/2 undefinedPlug.Conn not importedUse use OpenuiBackendWeb, :controller (imports Plug.Conn) or call Plug.Conn.send_chunked/2

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