# HyperLLM

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Call all LLM APIs using the OpenAI format

## Installation

Add `hyper_llm` to your list of dependencies in `mix.exs`:

```elixir
def deps do
  [
    {:hyper_llm, "~> 0.0.1"}
  ]
end
```

## Configurations

```elixir
config :hyper_llm,
  openai: [
    api_key: "sk-..."
  ],
  anthropic: [
    api_key: "sk-..."
  ]
```

## Usage

```elixir
HyperLLM.Chat.start(model: "gpt-4o-mini")
|> HyperLLM.Chat.append(:developer, "You are a helpful assistant.")
|> HyperLLM.Chat.append(:user, "Spell \"strawberry\"")
|> HyperLLM.Chat.completion()
#=> {:ok, "Strawberry. 🍓"}
```

If you are using Phoenix, you can use the `HyperLLM.Chat` module in your LiveView.

```elixir
defmodule ChatLive do
  use Phoenix.LiveView

  def render(assigns) do
    ~H"""
    <div>
      <dl>
        <%= for message <- @chat.messages do %>
          <dt><%= message.role %></dt>
          <dd><%= message.content %></dd>
        <% end %>
      </dl>
    </div>
    """
  end

  def mount(params, session, socket) do
    {:ok,
    socket
    |> assign(chat: HyperLLM.Chat.start(model: "gpt-4o-mini"))}
  end

  def handle_event("send_message", %{"message" => message}, socket) do
    chat = HyperLLM.Chat.append(socket.assigns.chat, message)

    send(self(), :chat_completion)
    
    {:noreply, socket |> assign(chat: chat)}
  end

  def handle_info(:chat_completion, socket) do
    with {:ok, response} <- HyperLLM.Chat.completion(socket.assigns.chat) do
      chat = HyperLLM.Chat.append(socket.assigns.chat, :assistant, response)
      {:noreply, socket |> assign(chat: chat)}
    end
  end
end
```

## Providers

✅ Anthropic
✅ Groq
✅ OpenAI

### Not implemented ... yet
❌ Azure
❌ AWS SageMaker
❌ AWS Bedrock
❌ Google - Vertex AI
❌ Google - Palm
❌ Mistral AI
❌ CloudFlare AI Workers
❌ Cohere
❌ Ollama
❌ Vertex AI