added DeepSeek endpoint

docs/15_endpoint_apis/08_deepseek_endpoint.ipynb

@@ -0,0 +1,154 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "87404224-b84b-409f-8683-c4a243d29722",
+   "metadata": {},
+   "source": [
+    "# DeepSeek endpoint\n",
+    "In this notebook we will use the [DeepSeek](https://www.deepseek.com/) API. Before you can access it, you need to create an account and [API key](https://platform.deepseek.com/api_keys). You will see that also this method uses the OpenAI API and we change the `base_url`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "752e974d-9aaf-44aa-80fb-01a042cf5774",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'1.58.1'"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import openai\n",
+    "openai.__version__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ab55e229-93b9-4e9b-974d-037002690bf0",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def prompt_deepseek(message:str, model=\"deepseek-chat\"):\n",
+    "    \"\"\"A prompt helper function that sends a message to DeepSeek\n",
+    "    and returns only the text response.\n",
+    "    \"\"\"\n",
+    "    import os\n",
+    "    \n",
+    "    # convert message in the right format if necessary\n",
+    "    if isinstance(message, str):\n",
+    "        message = [{\"role\": \"user\", \"content\": message}]\n",
+    "    \n",
+    "    # setup connection to the LLM\n",
+    "    client = openai.OpenAI()\n",
+    "    client.base_url = \"https://api.deepseek.com\"\n",
+    "    client.api_key = os.environ.get('DEEPSEEK_API_KEY')\n",
+    "    response = client.chat.completions.create(\n",
+    "        model=model,\n",
+    "        messages=message\n",
+    "    )\n",
+    "    \n",
+    "    # extract answer\n",
+    "    return response.choices[0].message.content"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "a7654a20-a307-4b26-8d25-bef20b70224e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Hello! How can I assist you today? 😊'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "prompt_deepseek(\"Hi!\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "578e9edd-b58f-4fd0-a56d-1966105221dc",
+   "metadata": {},
+   "source": [
+    "## Exercise\n",
+    "List the models available in the DeepSeek endpoint and try them out by specifying them when calling `prompt_deepseek()`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "05171ba7-a775-41c5-954d-7d4fc2b5b625",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "deepseek-chat\n",
+      "deepseek-reasoner\n"
+     ]
+    }
+   ],
+   "source": [
+    "client = openai.OpenAI()\n",
+    "client.base_url = \"https://api.deepseek.com\"\n",
+    "client.api_key = os.environ.get('DEEPSEEK_API_KEY')\n",
+    "\n",
+    "print(\"\\n\".join([model.id for model in client.models.list().data]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7e810ee2-4d22-42f6-add5-532cf95b4b9c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

docs/_toc.yml

@@ -28,6 +28,7 @@ parts:
       - file: 15_endpoint_apis/03_blablador_endpoint.ipynb
       - file: 15_endpoint_apis/05_azure_endpoints.ipynb
       - file: 15_endpoint_apis/07_mistral_endpoint.ipynb
+      - file: 15_endpoint_apis/08_deepseek_endpoint.ipynb
       - file: 15_endpoint_apis/10_anthropic_api.ipynb
       - file: 15_endpoint_apis/20_google_gemini.ipynb
       - file: 15_endpoint_apis/30_huggingface.ipynb