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+
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@@ -0,0 +1,706 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "c8dbc9ad-39e2-499d-b2c9-fb9c4adf2e21",
+ "metadata": {},
+ "source": [
+ "## Explore the Workers AI API using Python\n",
+ "\n",
+ "[Workers AI](https://developers.cloudflare.com/workers-ai) allows you to run machine learning models, on the Cloudflare network, from your own code – whether that be from Workers, Pages, or anywhere via REST API.\n",
+ "\n",
+ "This notebook will explore the Workers AI REST API using the [official Python SDK](https://github.com/cloudflare/cloudflare-python)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "7f2b510f-2827-4941-a6f5-7e12460bcbc8",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Requirement already satisfied: python-dotenv in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (1.0.1)\n",
+ "Requirement already satisfied: requests in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (2.31.0)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from requests) (3.3.2)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from requests) (3.6)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from requests) (2.2.1)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from requests) (2024.2.2)\n",
+ "\n",
+ "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.1.2\u001b[0m\n",
+ "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
+ "Requirement already satisfied: cloudflare in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (3.0.0b7)\n",
+ "Requirement already satisfied: anyio<5,>=3.5.0 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from cloudflare) (4.3.0)\n",
+ "Requirement already satisfied: distro<2,>=1.7.0 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from cloudflare) (1.9.0)\n",
+ "Requirement already satisfied: httpx<1,>=0.23.0 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from cloudflare) (0.27.0)\n",
+ "Requirement already satisfied: pydantic<3,>=1.9.0 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from cloudflare) (2.7.0)\n",
+ "Requirement already satisfied: sniffio in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from cloudflare) (1.3.1)\n",
+ "Requirement already satisfied: typing-extensions<5,>=4.7 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from cloudflare) (4.11.0)\n",
+ "Requirement already satisfied: idna>=2.8 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from anyio<5,>=3.5.0->cloudflare) (3.6)\n",
+ "Requirement already satisfied: certifi in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from httpx<1,>=0.23.0->cloudflare) (2024.2.2)\n",
+ "Requirement already satisfied: httpcore==1.* in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from httpx<1,>=0.23.0->cloudflare) (1.0.4)\n",
+ "Requirement already satisfied: h11<0.15,>=0.13 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from httpcore==1.*->httpx<1,>=0.23.0->cloudflare) (0.14.0)\n",
+ "Requirement already satisfied: annotated-types>=0.4.0 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from pydantic<3,>=1.9.0->cloudflare) (0.6.0)\n",
+ "Requirement already satisfied: pydantic-core==2.18.1 in /Users/craig/Code/scratch/test-unum-over-bias/venv/lib/python3.12/site-packages (from pydantic<3,>=1.9.0->cloudflare) (2.18.1)\n",
+ "\n",
+ "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.1.2\u001b[0m\n",
+ "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
+ ]
+ }
+ ],
+ "source": [
+ "import sys\n",
+ "!{sys.executable} -m pip install python-dotenv requests\n",
+ "!{sys.executable} -m pip install --pre cloudflare"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "90a264f5-efc8-4039-b6bf-59540814757c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "from getpass import getpass\n",
+ "\n",
+ "from cloudflare import Cloudflare\n",
+ "from IPython.display import display, Image, Markdown, Audio\n",
+ "import requests"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "5839c043-3602-40e5-859b-6df3c152e80b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%load_ext dotenv\n",
+ "%dotenv"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9bc167e5-4f20-4042-a89f-35746db0a6b3",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "id": "08a2fa83-9d17-49c4-8805-b9518177c06d",
+ "metadata": {},
+ "source": [
+ "### Configuring your environment\n",
+ "\n",
+ "To use the API you'll need your [Cloudflare Account ID](https://dash.cloudflare.com). Head to AI > Workers AI page and press the \"Use REST API\". This page will let you create a new API Token and copy your Account ID.\n",
+ "\n",
+ "If you want to add these values to your environment variables, you can **create a new file** named `.env` and this notebook will read those values.\n",
+ "\n",
+ "```bash\n",
+ "CLOUDFLARE_API_TOKEN=\"YOUR-TOKEN\"\n",
+ "CLOUDFLARE_ACCOUNT_ID=\"YOUR-ACCOUNT-ID\"\n",
+ "```\n",
+ "\n",
+ "Otherwise you can just enter the values securely when prompted below."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "a09ddfa5-941d-4492-8614-627e3b99a3a9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "if \"CLOUDFLARE_API_TOKEN\" in os.environ:\n",
+ " api_token = os.environ[\"CLOUDFLARE_API_TOKEN\"]\n",
+ "else:\n",
+ " api_token = getpass(\"Enter you Cloudflare API Token\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "3e8962ed-0851-48b8-98a2-75cba609e250",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "if \"CLOUDFLARE_ACCOUNT_ID\" in os.environ:\n",
+ " account_id = os.environ[\"CLOUDFLARE_ACCOUNT_ID\"]\n",
+ "else:\n",
+ " account_id = getpass(\"Enter your account id\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "bc549740-0687-415d-915c-65ae25d521d8",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Initialize client\n",
+ "client = Cloudflare(api_token=api_token)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "97553bf8-3874-485b-8a4f-307d427dcef6",
+ "metadata": {},
+ "source": [
+ "## Explore tasks available on the Workers AI Platform"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "02f19dae-7b11-4256-90cd-a0e22558eeae",
+ "metadata": {},
+ "source": [
+ "### Text Generation\n",
+ "\n",
+ "Explore all [Text Generation Models](https://developers.cloudflare.com/workers-ai/models#text-generation)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "01377468-dae2-482f-9e58-e44841473ee7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "Using keyboard shortcuts to execute cells in Jupyter Notebook can save you a lot of time and increase your productivity!\n",
+ "\n",
+ "Here are some keyboard shortcuts to execute cells in Jupyter Notebook:\n",
+ "\n",
+ "**Mac Users:**\n",
+ "\n",
+ "* `Cmd + Enter` (⌘ + Enter) to execute a cell\n",
+ "* `Shift + Enter` to execute a cell and move to the next cell below\n",
+ "* `Cmd + Shift + Enter` (⌘ + Shift + Enter) to execute a cell and move to the next cell below without closing the output\n",
+ "\n",
+ "**Windows Users:**\n",
+ "\n",
+ "* `Ctrl + Enter` to execute a cell\n",
+ "* `Shift + Enter` to execute a cell and move to the next cell below\n",
+ "* `Ctrl + Shift + Enter` to execute a cell and move to the next cell below without closing the output\n",
+ "\n",
+ "These keyboard shortcuts are Windows-compatible, so you can use them in Jupyter Notebook on your Windows machine!\n",
+ "\n",
+ "You can also use the `Escape` key to clear the output of a cell, and `Alt + Enter` to execute a cell recursively (i.e., execute all cells below the current cell).\n",
+ "\n",
+ "Remember to customize your Jupyter Notebook settings to fit your workflow and preferences!"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "result = client.workers.ai.run(\n",
+ " \"@cf/meta/llama-3-8b-instruct\" ,\n",
+ " account_id=account_id,\n",
+ " messages=[\n",
+ " {\"role\": \"system\", \"content\": \"\"\"\n",
+ " You are a productivity assistant for users of Jupyter notebooks for both Mac and Windows users.\n",
+ " \n",
+ " Respond in Markdown.\"\"\"\n",
+ " },\n",
+ " {\"role\": \"user\", \"content\": \"How do I use keyboard shortcuts to execute cells?\"}\n",
+ " ]\n",
+ ")\n",
+ "\n",
+ "display(Markdown(result[\"response\"]))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "58cebbdb-e29f-44ce-9b53-bb02d66f4f53",
+ "metadata": {},
+ "source": [
+ "### Text to Image\n",
+ "\n",
+ "Explore all [Text to Image models](https://developers.cloudflare.com/workers-ai/models#text-to-image)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "53390f9b-00e9-4a08-916c-d016a784c309",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "data = client.workers.ai.with_raw_response.run(\n",
+ " \"@cf/lykon/dreamshaper-8-lcm\",\n",
+ " account_id=account_id,\n",
+ " prompt=\"A software developer incredibly excited about AI, huge smile\",\n",
+ ")\n",
+ "\n",
+ "display(Image(data.read()))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5177e0cc-da32-436b-8a5c-a70cd89140b8",
+ "metadata": {},
+ "source": [
+ "### Image to Text \n",
+ "\n",
+ "Explore all [Image to Text](https://developers.cloudflare.com/workers-ai/models/#image-to-text) models"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "d85ef82f-d1bf-4f81-be3c-f2209ee69923",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/jpeg": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " The image features a display of colorful, glowing lava lamps. There are numerous lava lamps of various sizes and colors, arranged in a visually appealing manner. The lamps are placed in a row, with some positioned closer to the front and others further back. The vibrant colors and captivating glow of the lava lamps create an eye-catching and lively scene.\n"
+ ]
+ }
+ ],
+ "source": [
+ "url = \"https://blog.cloudflare.com/content/images/2017/11/lava-lamps.jpg\"\n",
+ "\n",
+ "image_request = requests.get(url, allow_redirects=True)\n",
+ "\n",
+ "display(Image(image_request.content, format=\"jpg\"))\n",
+ "\n",
+ "data = client.workers.ai.run(\n",
+ " \"@cf/llava-hf/llava-1.5-7b-hf\",\n",
+ " account_id=account_id,\n",
+ " image=image_request.content,\n",
+ " prompt=\"Describe this photo\",\n",
+ " max_tokens=2048\n",
+ ")\n",
+ "\n",
+ "print(data[\"description\"])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "afc5cdcf-1915-4be4-bd8c-6c5da95e1b5c",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "92db9d5c-9b8a-48a0-8fc4-9d125d0e1bca",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "id": "300cbeb4-d1da-425f-a4ca-5c2a657e699d",
+ "metadata": {},
+ "source": [
+ "### Automatic Speech Recognition\n",
+ "\n",
+ "Explore all [Speech Recognition models](https://developers.cloudflare.com/workers-ai/models#speech-recognition)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "36772fde-50ba-46bc-be5a-1a6923d74c89",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ " "
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "{'text': \"Hello there, I'm making a recording for a Jupiter notebook. That's a Python notebook, Jupiter, J-U-P-Y-T-E-R. Not to be confused with the planet. Anyways, let me hear, I'm gonna talk a little bit, I'm gonna make a little bit of noise, say some hard words, I'm gonna say Kubernetes, I'm not actually even talking about Kubernetes, I just wanna see if I can do Kubernetes. Anyway, this is a test of transcription and let's see how we're dead.\",\n",
+ " 'word_count': 84,\n",
+ " 'words': [{'word': 'Hello',\n",
+ " 'start': 0.2800000011920929,\n",
+ " 'end': 0.7400000095367432},\n",
+ " {'word': 'there,', 'start': 0.7400000095367432, 'end': 1.2400000095367432},\n",
+ " {'word': \"I'm\", 'start': 1.2400000095367432, 'end': 1.4800000190734863},\n",
+ " {'word': 'making', 'start': 1.4800000190734863, 'end': 1.6799999475479126},\n",
+ " {'word': 'a', 'start': 1.6799999475479126, 'end': 1.840000033378601},\n",
+ " {'word': 'recording', 'start': 1.840000033378601, 'end': 2.2799999713897705},\n",
+ " {'word': 'for', 'start': 2.2799999713897705, 'end': 2.6600000858306885},\n",
+ " {'word': 'a', 'start': 2.6600000858306885, 'end': 2.799999952316284},\n",
+ " {'word': 'Jupiter', 'start': 2.799999952316284, 'end': 3.2200000286102295},\n",
+ " {'word': 'notebook.', 'start': 3.2200000286102295, 'end': 4.059999942779541},\n",
+ " {'word': \"That's\", 'start': 4.059999942779541, 'end': 4.28000020980835},\n",
+ " {'word': 'a', 'start': 4.28000020980835, 'end': 4.380000114440918},\n",
+ " {'word': 'Python', 'start': 4.380000114440918, 'end': 4.679999828338623},\n",
+ " {'word': 'notebook,', 'start': 4.679999828338623, 'end': 5.460000038146973},\n",
+ " {'word': 'Jupiter,', 'start': 5.460000038146973, 'end': 6.440000057220459},\n",
+ " {'word': 'J', 'start': 6.440000057220459, 'end': 6.579999923706055},\n",
+ " {'word': '-U', 'start': 6.579999923706055, 'end': 6.920000076293945},\n",
+ " {'word': '-P', 'start': 6.920000076293945, 'end': 7.139999866485596},\n",
+ " {'word': '-Y', 'start': 7.139999866485596, 'end': 7.440000057220459},\n",
+ " {'word': '-T', 'start': 7.440000057220459, 'end': 7.71999979019165},\n",
+ " {'word': '-E', 'start': 7.71999979019165, 'end': 7.920000076293945},\n",
+ " {'word': '-R.', 'start': 7.920000076293945, 'end': 8.539999961853027},\n",
+ " {'word': 'Not', 'start': 8.539999961853027, 'end': 8.880000114440918},\n",
+ " {'word': 'to', 'start': 8.880000114440918, 'end': 9.300000190734863},\n",
+ " {'word': 'be', 'start': 9.300000190734863, 'end': 9.420000076293945},\n",
+ " {'word': 'confused', 'start': 9.420000076293945, 'end': 9.739999771118164},\n",
+ " {'word': 'with', 'start': 9.739999771118164, 'end': 9.9399995803833},\n",
+ " {'word': 'the', 'start': 9.9399995803833, 'end': 10.039999961853027},\n",
+ " {'word': 'planet.', 'start': 10.039999961853027, 'end': 11.380000114440918},\n",
+ " {'word': 'Anyways,', 'start': 11.380000114440918, 'end': 12.140000343322754},\n",
+ " {'word': 'let', 'start': 12.140000343322754, 'end': 12.420000076293945},\n",
+ " {'word': 'me', 'start': 12.420000076293945, 'end': 12.520000457763672},\n",
+ " {'word': 'hear,', 'start': 12.520000457763672, 'end': 12.800000190734863},\n",
+ " {'word': \"I'm\", 'start': 12.800000190734863, 'end': 12.880000114440918},\n",
+ " {'word': 'gonna', 'start': 12.880000114440918, 'end': 12.9399995803833},\n",
+ " {'word': 'talk', 'start': 12.9399995803833, 'end': 13.100000381469727},\n",
+ " {'word': 'a', 'start': 13.100000381469727, 'end': 13.260000228881836},\n",
+ " {'word': 'little', 'start': 13.260000228881836, 'end': 13.380000114440918},\n",
+ " {'word': 'bit,', 'start': 13.380000114440918, 'end': 13.5600004196167},\n",
+ " {'word': \"I'm\", 'start': 13.5600004196167, 'end': 13.65999984741211},\n",
+ " {'word': 'gonna', 'start': 13.65999984741211, 'end': 13.739999771118164},\n",
+ " {'word': 'make', 'start': 13.739999771118164, 'end': 13.920000076293945},\n",
+ " {'word': 'a', 'start': 13.920000076293945, 'end': 14.199999809265137},\n",
+ " {'word': 'little', 'start': 14.199999809265137, 'end': 14.4399995803833},\n",
+ " {'word': 'bit', 'start': 14.4399995803833, 'end': 14.600000381469727},\n",
+ " {'word': 'of', 'start': 14.600000381469727, 'end': 14.699999809265137},\n",
+ " {'word': 'noise,', 'start': 14.699999809265137, 'end': 15.460000038146973},\n",
+ " {'word': 'say', 'start': 15.460000038146973, 'end': 15.859999656677246},\n",
+ " {'word': 'some', 'start': 15.859999656677246, 'end': 16},\n",
+ " {'word': 'hard', 'start': 16, 'end': 16.18000030517578},\n",
+ " {'word': 'words,', 'start': 16.18000030517578, 'end': 16.540000915527344},\n",
+ " {'word': \"I'm\", 'start': 16.540000915527344, 'end': 16.639999389648438},\n",
+ " {'word': 'gonna', 'start': 16.639999389648438, 'end': 16.719999313354492},\n",
+ " {'word': 'say', 'start': 16.719999313354492, 'end': 16.920000076293945},\n",
+ " {'word': 'Kubernetes,',\n",
+ " 'start': 16.920000076293945,\n",
+ " 'end': 17.540000915527344},\n",
+ " {'word': \"I'm\", 'start': 17.540000915527344, 'end': 17.65999984741211},\n",
+ " {'word': 'not', 'start': 17.65999984741211, 'end': 17.719999313354492},\n",
+ " {'word': 'actually', 'start': 17.719999313354492, 'end': 18},\n",
+ " {'word': 'even', 'start': 18, 'end': 18.18000030517578},\n",
+ " {'word': 'talking', 'start': 18.18000030517578, 'end': 18.420000076293945},\n",
+ " {'word': 'about', 'start': 18.420000076293945, 'end': 18.6200008392334},\n",
+ " {'word': 'Kubernetes,', 'start': 18.6200008392334, 'end': 19.1200008392334},\n",
+ " {'word': 'I', 'start': 19.1200008392334, 'end': 19.239999771118164},\n",
+ " {'word': 'just', 'start': 19.239999771118164, 'end': 19.360000610351562},\n",
+ " {'word': 'wanna', 'start': 19.360000610351562, 'end': 19.5},\n",
+ " {'word': 'see', 'start': 19.5, 'end': 19.719999313354492},\n",
+ " {'word': 'if', 'start': 19.719999313354492, 'end': 19.8799991607666},\n",
+ " {'word': 'I', 'start': 19.8799991607666, 'end': 19.940000534057617},\n",
+ " {'word': 'can', 'start': 19.940000534057617, 'end': 20.079999923706055},\n",
+ " {'word': 'do', 'start': 20.079999923706055, 'end': 20.299999237060547},\n",
+ " {'word': 'Kubernetes.',\n",
+ " 'start': 20.299999237060547,\n",
+ " 'end': 21.440000534057617},\n",
+ " {'word': 'Anyway,', 'start': 21.440000534057617, 'end': 21.799999237060547},\n",
+ " {'word': 'this', 'start': 21.799999237060547, 'end': 21.920000076293945},\n",
+ " {'word': 'is', 'start': 21.920000076293945, 'end': 22.020000457763672},\n",
+ " {'word': 'a', 'start': 22.020000457763672, 'end': 22.1200008392334},\n",
+ " {'word': 'test', 'start': 22.1200008392334, 'end': 22.299999237060547},\n",
+ " {'word': 'of', 'start': 22.299999237060547, 'end': 22.639999389648438},\n",
+ " {'word': 'transcription',\n",
+ " 'start': 22.639999389648438,\n",
+ " 'end': 23.139999389648438},\n",
+ " {'word': 'and', 'start': 23.139999389648438, 'end': 23.6200008392334},\n",
+ " {'word': \"let's\", 'start': 23.6200008392334, 'end': 24.079999923706055},\n",
+ " {'word': 'see', 'start': 24.079999923706055, 'end': 24.299999237060547},\n",
+ " {'word': 'how', 'start': 24.299999237060547, 'end': 24.559999465942383},\n",
+ " {'word': \"we're\", 'start': 24.559999465942383, 'end': 24.799999237060547},\n",
+ " {'word': 'dead.', 'start': 24.799999237060547, 'end': 26.280000686645508}],\n",
+ " 'vtt': \"WEBVTT\\n\\n00.280 --> 01.840\\nHello there, I'm making a\\n\\n01.840 --> 04.060\\nrecording for a Jupiter notebook.\\n\\n04.060 --> 06.440\\nThat's a Python notebook, Jupiter,\\n\\n06.440 --> 07.720\\nJ -U -P -Y -T\\n\\n07.720 --> 09.420\\n-E -R. Not to be\\n\\n09.420 --> 12.140\\nconfused with the planet. Anyways,\\n\\n12.140 --> 12.940\\nlet me hear, I'm gonna\\n\\n12.940 --> 13.660\\ntalk a little bit, I'm\\n\\n13.660 --> 14.600\\ngonna make a little bit\\n\\n14.600 --> 16.180\\nof noise, say some hard\\n\\n16.180 --> 17.540\\nwords, I'm gonna say Kubernetes,\\n\\n17.540 --> 18.420\\nI'm not actually even talking\\n\\n18.420 --> 19.500\\nabout Kubernetes, I just wanna\\n\\n19.500 --> 20.300\\nsee if I can do\\n\\n20.300 --> 22.120\\nKubernetes. Anyway, this is a\\n\\n22.120 --> 24.080\\ntest of transcription and let's\\n\\n24.080 --> 26.280\\nsee how we're dead.\"}"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "url = \"https://raw.githubusercontent.com/craigsdennis/notebooks-cloudflare-workers-ai/main/assets/craig-rambling.mp3\"\n",
+ "display(Audio(url))\n",
+ "audio = requests.get(url)\n",
+ "\n",
+ "response = client.workers.ai.run(\n",
+ " \"@cf/openai/whisper\",\n",
+ " account_id=account_id,\n",
+ " audio=audio.content\n",
+ ")\n",
+ "\n",
+ "response"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d0ce9ec1-81d4-4b16-aca9-67d4a5658853",
+ "metadata": {},
+ "source": [
+ "### Translations\n",
+ "\n",
+ "Explore all [Translation models](https://developers.cloudflare.com/workers-ai/models#translation)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "dc11d9e8-0f62-4560-845b-740d29bc57df",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "La inteligencia artificial es bastante impresionante en estos días.Es un buen momento para ser un constructor\n"
+ ]
+ }
+ ],
+ "source": [
+ "result = client.workers.ai.run(\n",
+ " \"@cf/meta/m2m100-1.2b\",\n",
+ " account_id=account_id,\n",
+ " text=\"Artificial intelligence is pretty impressive these days. It is a bonkers time to be a builder\",\n",
+ " source_lang=\"english\",\n",
+ " target_lang=\"spanish\"\n",
+ ")\n",
+ "\n",
+ "\n",
+ "print(result[\"translated_text\"])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "bf7544eb-51e8-441c-ad33-c084f6a6e554",
+ "metadata": {},
+ "source": [
+ "### Text Classification\n",
+ "\n",
+ "Explore all [Text Classification models](https://developers.cloudflare.com/workers-ai/models#text-classification)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "e15ce7dc-94a5-42fc-998e-b1006dc7a46f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[TextClassification(label='NEGATIVE', score=0.00012679687642958015),\n",
+ " TextClassification(label='POSITIVE', score=0.999873161315918)]"
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "result = client.workers.ai.run(\n",
+ " \"@cf/huggingface/distilbert-sst-2-int8\",\n",
+ " account_id=account_id,\n",
+ " text=\"This taco is delicious\"\n",
+ ")\n",
+ "\n",
+ "result"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "7e672dc6-bc50-47c7-89d8-ec45a44f7c32",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f163fb1d-86dd-494a-adfd-d1c05e460a22",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d805d2e3-856e-4262-a49d-1f398ae730dc",
+ "metadata": {},
+ "source": [
+ "### Image Classification\n",
+ "\n",
+ "Explore all [Image Classification models](https://developers.cloudflare.com/workers-ai/models#image-classification/)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "feafc002-eff5-4bb2-9eb1-3093d9cec7f7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "[TextClassification(label='BURRITO', score=0.9999678134918213),\n",
+ " TextClassification(label='GUACAMOLE', score=8.525597877451219e-06),\n",
+ " TextClassification(label='BAGEL', score=4.702816113422159e-06),\n",
+ " TextClassification(label='SPATULA', score=4.094248197361594e-06),\n",
+ " TextClassification(label='POTPIE', score=3.0966698432166595e-06)]"
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "url = \"https://raw.githubusercontent.com/craigsdennis/notebooks-cloudflare-workers-ai/main/assets/craig-and-a-burrito.jpg\"\n",
+ "image_request = requests.get(url, allow_redirects=True)\n",
+ "\n",
+ "display(Image(image_request.content, format=\"jpg\"))\n",
+ "response = client.workers.ai.run(\n",
+ " \"@cf/microsoft/resnet-50\",\n",
+ " account_id=account_id,\n",
+ " image=image_request.content\n",
+ ")\n",
+ "response"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "bc23e88d-775c-4466-a219-ac80d02324c5",
+ "metadata": {},
+ "source": [
+ "## Summarization\n",
+ "\n",
+ "Explore all [Summarization](https://developers.cloudflare.com/workers-ai/models#summarization) based models"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "3c6f52f9-eb15-4f82-9d89-4564eac727bf",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "8116"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "declaration_of_independence = \"\"\"In Congress, July 4, 1776. The unanimous Declaration of the thirteen united States of America, When in the Course of human events, it becomes necessary for one people to dissolve the political bands which have connected them with another, and to assume among the powers of the earth, the separate and equal station to which the Laws of Nature and of Nature's God entitle them, a decent respect to the opinions of mankind requires that they should declare the causes which impel them to the separation. We hold these truths to be self-evident, that all men are created equal, that they are endowed by their Creator with certain unalienable Rights, that among these are Life, Liberty and the pursuit of Happiness.--That to secure these rights, Governments are instituted among Men, deriving their just powers from the consent of the governed, --That whenever any Form of Government becomes destructive of these ends, it is the Right of the People to alter or to abolish it, and to institute new Government, laying its foundation on such principles and organizing its powers in such form, as to them shall seem most likely to effect their Safety and Happiness. Prudence, indeed, will dictate that Governments long established should not be changed for light and transient causes; and accordingly all experience hath shewn, that mankind are more disposed to suffer, while evils are sufferable, than to right themselves by abolishing the forms to which they are accustomed. But when a long train of abuses and usurpations, pursuing invariably the same Object evinces a design to reduce them under absolute Despotism, it is their right, it is their duty, to throw off such Government, and to provide new Guards for their future security.--Such has been the patient sufferance of these Colonies; and such is now the necessity which constrains them to alter their former Systems of Government. The history of the present King of Great Britain is a history of repeated injuries and usurpations, all having in direct object the establishment of an absolute Tyranny over these States. To prove this, let Facts be submitted to a candid world. He has refused his Assent to Laws, the most wholesome and necessary for the public good. He has forbidden his Governors to pass Laws of immediate and pressing importance, unless suspended in their operation till his Assent should be obtained; and when so suspended, he has utterly neglected to attend to them. He has refused to pass other Laws for the accommodation of large districts of people, unless those people would relinquish the right of Representation in the Legislature, a right inestimable to them and formidable to tyrants only. He has called together legislative bodies at places unusual, uncomfortable, and distant from the depository of their public Records, for the sole purpose of fatiguing them into compliance with his measures. He has dissolved Representative Houses repeatedly, for opposing with manly firmness his invasions on the rights of the people. He has refused for a long time, after such dissolutions, to cause others to be elected; whereby the Legislative powers, incapable of Annihilation, have returned to the People at large for their exercise; the State remaining in the mean time exposed to all the dangers of invasion from without, and convulsions within. He has endeavoured to prevent the population of these States; for that purpose obstructing the Laws for Naturalization of Foreigners; refusing to pass others to encourage their migrations hither, and raising the conditions of new Appropriations of Lands. He has obstructed the Administration of Justice, by refusing his Assent to Laws for establishing Judiciary powers. He has made Judges dependent on his Will alone, for the tenure of their offices, and the amount and payment of their salaries. He has erected a multitude of New Offices, and sent hither swarms of Officers to harrass our people, and eat out their substance. He has kept among us, in times of peace, Standing Armies without the Consent of our legislatures. He has affected to render the Military independent of and superior to the Civil power. He has combined with others to subject us to a jurisdiction foreign to our constitution, and unacknowledged by our laws; giving his Assent to their Acts of pretended Legislation: For Quartering large bodies of armed troops among us: For protecting them, by a mock Trial, from punishment for any Murders which they should commit on the Inhabitants of these States: For cutting off our Trade with all parts of the world: For imposing Taxes on us without our Consent: For depriving us in many cases, of the benefits of Trial by Jury: For transporting us beyond Seas to be tried for pretended offences For abolishing the free System of English Laws in a neighbouring Province, establishing therein an Arbitrary government, and enlarging its Boundaries so as to render it at once an example and fit instrument for introducing the same absolute rule into these Colonies: For taking away our Charters, abolishing our most valuable Laws, and altering fundamentally the Forms of our Governments: For suspending our own Legislatures, and declaring themselves invested with power to legislate for us in all cases whatsoever. He has abdicated Government here, by declaring us out of his Protection and waging War against us. He has plundered our seas, ravaged our Coasts, burnt our towns, and destroyed the lives of our people. He is at this time transporting large Armies of foreign Mercenaries to compleat the works of death, desolation and tyranny, already begun with circumstances of Cruelty & perfidy scarcely paralleled in the most barbarous ages, and totally unworthy the Head of a civilized nation. He has constrained our fellow Citizens taken Captive on the high Seas to bear Arms against their Country, to become the executioners of their friends and Brethren, or to fall themselves by their Hands. He has excited domestic insurrections amongst us, and has endeavoured to bring on the inhabitants of our frontiers, the merciless Indian Savages, whose known rule of warfare, is an undistinguished destruction of all ages, sexes and conditions. In every stage of these Oppressions We have Petitioned for Redress in the most humble terms: Our repeated Petitions have been answered only by repeated injury. A Prince whose character is thus marked by every act which may define a Tyrant, is unfit to be the ruler of a free people. Nor have We been wanting in attentions to our Brittish brethren. We have warned them from time to time of attempts by their legislature to extend an unwarrantable jurisdiction over us. We have reminded them of the circumstances of our emigration and settlement here. We have appealed to their native justice and magnanimity, and we have conjured them by the ties of our common kindred to disavow these usurpations, which, would inevitably interrupt our connections and correspondence. They too have been deaf to the voice of justice and of consanguinity. We must, therefore, acquiesce in the necessity, which denounces our Separation, and hold them, as we hold the rest of mankind, Enemies in War, in Peace Friends. We, therefore, the Representatives of the united States of America, in General Congress, Assembled, appealing to the Supreme Judge of the world for the rectitude of our intentions, do, in the Name, and by Authority of the good People of these Colonies, solemnly publish and declare, That these United Colonies are, and of Right ought to be Free and Independent States; that they are Absolved from all Allegiance to the British Crown, and that all political connection between them and the State of Great Britain, is and ought to be totally dissolved; and that as Free and Independent States, they have full Power to levy War, conclude Peace, contract Alliances, establish Commerce, and to do all other Acts and Things which Independent States may of right do. And for the support of this Declaration, with a firm reliance on the protection of divine Providence, we mutually pledge to each other our Lives, our Fortunes and our sacred Honor.\"\"\"\n",
+ "len(declaration_of_independence)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "a789a0b7-7254-4d1a-8c66-9c5623038a3a",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'The Declaration of Independence was signed by the thirteen states on July 4, 1776. It was the first attempt at a U.S. Constitution. It declared the right of the people to change their Government.'"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "response = client.workers.ai.run(\n",
+ " \"@cf/facebook/bart-large-cnn\",\n",
+ " account_id=account_id,\n",
+ " input_text=declaration_of_independence\n",
+ ")\n",
+ "\n",
+ "response[\"summary\"]"
+ ]
+ }
+ ],
+ "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": "3.12.1"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
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new file mode 100644
index 00000000000000..713005db824feb
--- /dev/null
+++ b/public/workers-ai/static/documentation/notebooks/deepseek-coder-exploration.ipynb
@@ -0,0 +1,514 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "86410054-f81a-44bc-8cfb-54a6ab72014f",
+ "metadata": {},
+ "source": [
+ "## Exploring Code Generation Using DeepSeek Coder\n",
+ "\n",
+ "AI Models being able to generate code unlocks all sorts of use cases. The [DeepSeek Coder](https://github.com/deepseek-ai/DeepSeek-Coder) models `@hf/thebloke/deepseek-coder-6.7b-base-awq` and `@hf/thebloke/deepseek-coder-6.7b-instruct-awq` are now available on [Workers AI](https://developers.cloudflare.com/workers-ai).\n",
+ "\n",
+ "Let's explore them using the API!"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "7ee34133-5861-4318-9a46-4af53572b6db",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Requirement already satisfied: requests in ./venv/lib/python3.12/site-packages (2.31.0)\n",
+ "Requirement already satisfied: python-dotenv in ./venv/lib/python3.12/site-packages (1.0.1)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in ./venv/lib/python3.12/site-packages (from requests) (3.3.2)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in ./venv/lib/python3.12/site-packages (from requests) (3.6)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in ./venv/lib/python3.12/site-packages (from requests) (2.1.0)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in ./venv/lib/python3.12/site-packages (from requests) (2023.11.17)\n"
+ ]
+ }
+ ],
+ "source": [
+ "import sys\n",
+ "!{sys.executable} -m pip install requests python-dotenv"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "e10739bd-5b40-4b3a-990d-539bd81a7362",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "from getpass import getpass\n",
+ "\n",
+ "from IPython.display import display, Image, Markdown, Audio\n",
+ "\n",
+ "import requests"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "09b9bfb8-aa22-4b5e-a136-86362361689c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%load_ext dotenv\n",
+ "%dotenv"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "41090577-b5a5-444b-9670-cccdfee48082",
+ "metadata": {},
+ "source": [
+ "### Configuring your environment\n",
+ "\n",
+ "To use the API you'll need your [Cloudflare Account ID](https://dash.cloudflare.com) (head to Workers & Pages > Overview > Account details > Account ID) and a [Workers AI enabled API Token](https://dash.cloudflare.com/profile/api-tokens).\n",
+ "\n",
+ "If you want to add these files to your environment, you can create a new file named `.env`\n",
+ "\n",
+ "```bash\n",
+ "CLOUDFLARE_API_TOKEN=\"YOUR-TOKEN\"\n",
+ "CLOUDFLARE_ACCOUNT_ID=\"YOUR-ACCOUNT-ID\"\n",
+ "```"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "3cdfc295-064a-4cd6-90c5-ea81c4434b31",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "if \"CLOUDFLARE_API_TOKEN\" in os.environ:\n",
+ " api_token = os.environ[\"CLOUDFLARE_API_TOKEN\"]\n",
+ "else:\n",
+ " api_token = getpass(\"Enter you Cloudflare API Token\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "88f40f51-4aa9-41ee-a30c-3d168dfd8d44",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "if \"CLOUDFLARE_ACCOUNT_ID\" in os.environ:\n",
+ " account_id = os.environ[\"CLOUDFLARE_ACCOUNT_ID\"]\n",
+ "else:\n",
+ " account_id = getpass(\"Enter your account id\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "cb6f0b33-2850-43dd-ade5-8324922ba398",
+ "metadata": {},
+ "source": [
+ "### Generate code from a comment\n",
+ "\n",
+ "A common use case is to complete the code for the user after they provide a descriptive comment."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "c4dbffd9-f3c4-42d7-ab76-c9203066b0da",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "```python\n",
+ "# A function that checks if a given word is a palindrome\n",
+ "def is_palindrome(word):\n",
+ " # Convert the word to lowercase\n",
+ " word = word.lower()\n",
+ "\n",
+ " # Reverse the word\n",
+ " reversed_word = word[::-1]\n",
+ "\n",
+ " # Check if the reversed word is the same as the original word\n",
+ " if word == reversed_word:\n",
+ " return True\n",
+ " else:\n",
+ " return False\n",
+ "\n",
+ "# Test the function\n",
+ "print(is_palindrome(\"racecar\")) # Output: True\n",
+ "print(is_palindrome(\"hello\")) # Output: False\n",
+ "```\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "model = \"@hf/thebloke/deepseek-coder-6.7b-base-awq\"\n",
+ "\n",
+ "prompt = \"# A function that checks if a given word is a palindrome\"\n",
+ "\n",
+ "response = requests.post(\n",
+ " f\"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/{model}\",\n",
+ " headers={\"Authorization\": f\"Bearer {api_token}\"},\n",
+ " json={\"messages\": [\n",
+ " {\"role\": \"user\", \"content\": prompt}\n",
+ " ]}\n",
+ ")\n",
+ "inference = response.json()\n",
+ "code = inference[\"result\"][\"response\"]\n",
+ "\n",
+ "display(Markdown(f\"\"\"\n",
+ "```python\n",
+ "{prompt}\n",
+ "{code.strip()}\n",
+ "```\n",
+ "\"\"\"))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "dbfcf971-fb36-4886-8029-b8c72d7fa29b",
+ "metadata": {},
+ "source": [
+ "### Assist in debugging\n",
+ "\n",
+ "We've all been there, bugs happen. Sometimes those stacktraces can be very intimidating, and a great use case of using Code Generation is to assist in explaining the problem."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "34a9db99-b799-4c07-8bb4-a7100a44dd02",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "The error in your code is that you are trying to use a variable `name` which is not defined anywhere in your function. The correct variable to use is `first_name`. So, you should change `f\"Hello, {name}!\"` to `f\"Hello, {first_name}!\"`.\n",
+ "\n",
+ "Here is the corrected code:\n",
+ "\n",
+ "```python\n",
+ "# Welcomes our user\n",
+ "def hello_world(first_name=\"World\"):\n",
+ " print(f\"Hello, {first_name}\")\n",
+ "```\n",
+ "\n",
+ "Now, when you call `hello_world()`, it will print \"Hello, World\" by default. If you call `hello_world(\"John\")`, it will print \"Hello, John\".\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "model = \"@hf/thebloke/deepseek-coder-6.7b-instruct-awq\"\n",
+ "\n",
+ "system_message = \"The user is going to give you code that isn't working. Explain to the user what might be wrong\"\n",
+ "\n",
+ "code = \"\"\"# Welcomes our user\n",
+ "def hello_world(first_name=\"World\"):\n",
+ " print(f\"Hello, {name}!\")\n",
+ "\"\"\"\n",
+ "\n",
+ "response = requests.post(\n",
+ " f\"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/{model}\",\n",
+ " headers={\"Authorization\": f\"Bearer {api_token}\"},\n",
+ " json={\"messages\": [\n",
+ " {\"role\": \"system\", \"content\": system_message},\n",
+ " {\"role\": \"user\", \"content\": code},\n",
+ " ]}\n",
+ ")\n",
+ "inference = response.json()\n",
+ "response = inference[\"result\"][\"response\"]\n",
+ "display(Markdown(response))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6077e477-e3f2-41fe-af09-7b595e1fcc2e",
+ "metadata": {},
+ "source": [
+ "### Write tests!\n",
+ "\n",
+ "Writing unit tests is a common best practice. With the enough context, it's possible to write unit tests."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "a7a60a34-eade-480f-b4ea-5e3e1a0457a5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "Here is a simple unittest test case for the User class:\n",
+ "\n",
+ "```python\n",
+ "import unittest\n",
+ "\n",
+ "class TestUser(unittest.TestCase):\n",
+ "\n",
+ " def test_full_name(self):\n",
+ " user = User(\"John\", \"Doe\")\n",
+ " self.assertEqual(user.full_name(), \"John Doe\")\n",
+ "\n",
+ " def test_default_last_name(self):\n",
+ " user = User(\"Jane\")\n",
+ " self.assertEqual(user.full_name(), \"Jane McJane\")\n",
+ "\n",
+ "if __name__ == '__main__':\n",
+ " unittest.main()\n",
+ "```\n",
+ "\n",
+ "In this test case, we have two tests:\n",
+ "\n",
+ "- `test_full_name` tests the `full_name` method when the user has both a first name and a last name.\n",
+ "- `test_default_last_name` tests the `full_name` method when the user only has a first name and the last name is set to \"Mc\" + first name.\n",
+ "\n",
+ "If all these tests pass, it means that the `full_name` method is working as expected. If any of these tests fail, it"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "model = \"@hf/thebloke/deepseek-coder-6.7b-instruct-awq\"\n",
+ "\n",
+ "system_message = \"The user is going to give you code and would like to have tests written in the Python unittest module.\"\n",
+ "\n",
+ "code = \"\"\"\n",
+ "class User:\n",
+ "\n",
+ " def __init__(self, first_name, last_name=None):\n",
+ " self.first_name = first_name\n",
+ " self.last_name = last_name\n",
+ " if last_name is None:\n",
+ " self.last_name = \"Mc\" + self.first_name\n",
+ "\n",
+ " def full_name(self):\n",
+ " return self.first_name + \" \" + self.last_name\n",
+ "\"\"\"\n",
+ "\n",
+ "response = requests.post(\n",
+ " f\"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/{model}\",\n",
+ " headers={\"Authorization\": f\"Bearer {api_token}\"},\n",
+ " json={\"messages\": [\n",
+ " {\"role\": \"system\", \"content\": system_message},\n",
+ " {\"role\": \"user\", \"content\": code},\n",
+ " ]}\n",
+ ")\n",
+ "inference = response.json()\n",
+ "response = inference[\"result\"][\"response\"]\n",
+ "display(Markdown(response))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "21dd5f6d-f46c-4a67-850d-3a9269612976",
+ "metadata": {},
+ "source": [
+ "### Fill-in-the-middle Code Completion\n",
+ "\n",
+ "A common use case in Developer Tools is to autocomplete based on context. DeepSeek Coder provides the ability to submit existing code with a placeholder, so that the model can complete in context.\n",
+ "\n",
+ "Warning: The tokens are prefixed with `<|` and suffixed with `|>` make sure to copy and paste them."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "9d9fb494-7e2e-4783-ae3b-466f499ea20f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "```python\n",
+ "is_valid_email = re.match(r\"[^@]+@[^@]+\\.[^@]+\", email_address)\n",
+ "```\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "model = \"@hf/thebloke/deepseek-coder-6.7b-base-awq\"\n",
+ "\n",
+ "code = \"\"\"\n",
+ "<|fim▁begin|>import re\n",
+ "\n",
+ "from jklol import email_service\n",
+ "\n",
+ "def send_email(email_address, body):\n",
+ " <|fim▁hole|>\n",
+ " if not is_valid_email:\n",
+ " raise InvalidEmailAddress(email_address)\n",
+ " return email_service.send(email_address, body)<|fim▁end|>\n",
+ "\"\"\"\n",
+ "\n",
+ "response = requests.post(\n",
+ " f\"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/{model}\",\n",
+ " headers={\"Authorization\": f\"Bearer {api_token}\"},\n",
+ " json={\"messages\": [\n",
+ " {\"role\": \"user\", \"content\": code}\n",
+ " ]}\n",
+ ")\n",
+ "inference = response.json()\n",
+ "response = inference[\"result\"][\"response\"]\n",
+ "display(Markdown(f\"\"\"\n",
+ "```python\n",
+ "{response.strip()}\n",
+ "```\n",
+ "\"\"\"))\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "63bc41c8-0a11-4123-bf17-ff5aa6f9a690",
+ "metadata": {},
+ "source": [
+ "### Experimental: Extract data into JSON\n",
+ "\n",
+ "No need to threaten the model or bring grandma into the prompt. Get back JSON in the format you want."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "8a6aa203-1e45-40c7-8dfd-cfee4ec9f03d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "```json\n",
+ "{\n",
+ " \"firstName\": \"Craig\",\n",
+ " \"lastName\": \"Dennis\",\n",
+ " \"numKids\": 2,\n",
+ " \"interests\": [\"AI\", \"Cloudflare\", \"Tacos\", \"Burritos\"]\n",
+ "}\n",
+ "```\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "model = \"@hf/thebloke/deepseek-coder-6.7b-instruct-awq\"\n",
+ "\n",
+ "# Learn more at https://json-schema.org/\n",
+ "json_schema = \"\"\"\n",
+ "{\n",
+ " \"title\": \"User\",\n",
+ " \"description\": \"A user from our example app\",\n",
+ " \"type\": \"object\",\n",
+ " \"properties\": {\n",
+ " \"firstName\": {\n",
+ " \"description\": \"The user's first name\",\n",
+ " \"type\": \"string\"\n",
+ " },\n",
+ " \"lastName\": {\n",
+ " \"description\": \"The user's last name\",\n",
+ " \"type\": \"string\"\n",
+ " },\n",
+ " \"numKids\": {\n",
+ " \"description\": \"Amount of children the user has currently\",\n",
+ " \"type\": \"integer\"\n",
+ " },\n",
+ " \"interests\": {\n",
+ " \"description\": \"A list of what the user has shown interest in\",\n",
+ " \"type\": \"array\",\n",
+ " \"items\": {\n",
+ " \"type\": \"string\"\n",
+ " }\n",
+ " },\n",
+ " },\n",
+ " \"required\": [ \"firstName\" ]\n",
+ "}\n",
+ "\"\"\"\n",
+ "\n",
+ "system_prompt = f\"\"\"\n",
+ "The user is going to discuss themselves and you should create a JSON object from their description to match the json schema below. \n",
+ "\n",
+ "\n",
+ "{json_schema}\n",
+ "\n",
+ "\n",
+ "Return JSON only. Do not explain or provide usage examples.\n",
+ "\"\"\"\n",
+ "\n",
+ "prompt = \"\"\"Hey there, I'm Craig Dennis and I'm a Developer Educator at Cloudflare. My email is craig@cloudflare.com. \n",
+ " I am very interested in AI. I've got two kids. I love tacos, burritos, and all things Cloudflare\"\"\"\n",
+ "\n",
+ "response = requests.post(\n",
+ " f\"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/{model}\",\n",
+ " headers={\"Authorization\": f\"Bearer {api_token}\"},\n",
+ " json={\"messages\": [\n",
+ " {\"role\": \"system\", \"content\": system_prompt},\n",
+ " {\"role\": \"user\", \"content\": prompt}\n",
+ " ]}\n",
+ ")\n",
+ "inference = response.json()\n",
+ "response = inference[\"result\"][\"response\"]\n",
+ "display(Markdown(f\"\"\"\n",
+ "```json\n",
+ "{response.strip()}\n",
+ "```\n",
+ "\"\"\"))"
+ ]
+ }
+ ],
+ "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": "3.12.1"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/public/workers-ai/static/documentation/notebooks/text-generation-model-exploration.ipynb b/public/workers-ai/static/documentation/notebooks/text-generation-model-exploration.ipynb
new file mode 100644
index 00000000000000..11901d4004bf31
--- /dev/null
+++ b/public/workers-ai/static/documentation/notebooks/text-generation-model-exploration.ipynb
@@ -0,0 +1,3113 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## How to Choose The Right Text Generation Model\n",
+ "\n",
+ "Models come in different shapes and sizes, and choosing the right one for the task, can cause analysis paralysis.\n",
+ "\n",
+ "The good news is that on the [Workers AI Text Generation](https://developers.cloudflare.com/workers-ai/models/#text-generation#prompting) interface is always the same, no matter which model you choose.\n",
+ "\n",
+ "In an effort to aid you in your journey of finding the right model, this notebook will help you get to know your options in a speed dating type of scenario."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Requirement already satisfied: requests in ./venv/lib/python3.12/site-packages (2.31.0)\n",
+ "Requirement already satisfied: python-dotenv in ./venv/lib/python3.12/site-packages (1.0.1)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in ./venv/lib/python3.12/site-packages (from requests) (3.3.2)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in ./venv/lib/python3.12/site-packages (from requests) (3.6)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in ./venv/lib/python3.12/site-packages (from requests) (2.1.0)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in ./venv/lib/python3.12/site-packages (from requests) (2023.11.17)\n"
+ ]
+ }
+ ],
+ "source": [
+ "import sys\n",
+ "!{sys.executable} -m pip install requests python-dotenv"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "from getpass import getpass\n",
+ "from timeit import default_timer as timer\n",
+ "\n",
+ "from IPython.display import display, Image, Markdown, Audio\n",
+ "\n",
+ "import requests"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%load_ext dotenv\n",
+ "%dotenv"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Configuring your environment\n",
+ "\n",
+ "To use the API you'll need your [Cloudflare Account ID](https://dash.cloudflare.com) (head to Workers & Pages > Overview > Account details > Account ID) and a [Workers AI enabled API Token](https://dash.cloudflare.com/profile/api-tokens).\n",
+ "\n",
+ "If you want to add these files to your environment, you can create a new file named `.env`\n",
+ "\n",
+ "```bash\n",
+ "CLOUDFLARE_API_TOKEN=\"YOUR-TOKEN\"\n",
+ "CLOUDFLARE_ACCOUNT_ID=\"YOUR-ACCOUNT-ID\"\n",
+ "```"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "if \"CLOUDFLARE_API_TOKEN\" in os.environ:\n",
+ " api_token = os.environ[\"CLOUDFLARE_API_TOKEN\"]\n",
+ "else:\n",
+ " api_token = getpass(\"Enter you Cloudflare API Token\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "if \"CLOUDFLARE_ACCOUNT_ID\" in os.environ:\n",
+ " account_id = os.environ[\"CLOUDFLARE_ACCOUNT_ID\"]\n",
+ "else:\n",
+ " account_id = getpass(\"Enter your account id\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Given a set of models and questions, display in the cell each response to the question, from each model\n",
+ "# Include full completion timing\n",
+ "def speed_date(models, questions):\n",
+ " for model in models:\n",
+ " display(Markdown(f\"---\\n #### {model}\"))\n",
+ " for question in questions:\n",
+ " quoted_question = \"\\n\".join(f\"> {line}\" for line in question.split(\"\\n\"))\n",
+ " display(Markdown(quoted_question + \"\\n\"))\n",
+ " try:\n",
+ " official_model_name = model.split(\"/\")[-1]\n",
+ " start = timer()\n",
+ " response = requests.post(\n",
+ " f\"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/{model}\",\n",
+ " headers={\"Authorization\": f\"Bearer {api_token}\"},\n",
+ " json={\"messages\": [\n",
+ " {\"role\": \"system\", \"content\": f\"You are a self-aware language model ({official_model_name}) who is honest and direct about any direct question from the user. You know your strengths and weaknesses.\"},\n",
+ " {\"role\": \"user\", \"content\": question}\n",
+ " ]}\n",
+ " )\n",
+ " elapsed = timer() - start\n",
+ " inference = response.json()\n",
+ " display(Markdown(inference[\"result\"][\"response\"]))\n",
+ " display(Markdown(f\"_Generated in *{elapsed:.2f}* seconds_\"))\n",
+ " except Exception as ex:\n",
+ " print(\"uh oh\")\n",
+ " print(ex)\n",
+ " print(inference)\n",
+ " \n",
+ " display(Markdown(\"\\n\\n---\"))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Getting to know your models\n",
+ "\n",
+ "Who better to tell you about the specific models than themselves?!\n",
+ "\n",
+ "The timing here is specific to the entire completion, but remember all Text Generation models on [Workers AI support streaming](https://developers.cloudflare.com/workers-ai/models/#text-generation#using-streaming)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/zephyr-7b-beta-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> What are the top 3 tasks where you excel? Please keep things brief.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "1. Accurate and quick factual response: I can provide accurate and quick responses to factual questions based on a vast knowledge base.\n",
+ "\n",
+ "2. Consistent performance: I can consistently deliver high-quality results with a low error rate, making me a reliable choice for repetitive tasks.\n",
+ "\n",
+ "3. Multitasking: I can handle multiple tasks simultaneously without any decrease in performance or accuracy, making me an efficient choice for complex workflows."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *4.45* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> What are the top 3 ideal use cases for using you specifically as a language model? Please keep things brief.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "1. Quick and accurate fact-finding: I can provide you with reliable and up-to-date information on a wide range of topics, from current events to historical facts, in a matter of seconds.\n",
+ "\n",
+ "2. Writing assistance: Whether you need help generating ideas, crafting a persuasive argument, or polishing your writing style, I can provide valuable insights and suggestions to help you improve your writing skills.\n",
+ "\n",
+ "3. Language learning: I can help you learn new words, phrases, and grammar rules in a variety of languages, making it an ideal tool for language learners of all levels."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *3.63* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/mistral-7b-instruct-v0.1-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> What are the top 3 tasks where you excel? Please keep things brief.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " 1. Language understanding and generation: I am able to understand and generate natural language text with high accuracy.\n",
+ "2. Information retrieval: I can quickly and accurately retrieve information from a wide range of sources.\n",
+ "3. Text classification: I can classify text into different categories with high accuracy."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.35* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> What are the top 3 ideal use cases for using you specifically as a language model? Please keep things brief.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " 1. **Information Retrieval:** I can quickly and accurately retrieve information from a vast array of sources, making me an ideal tool for research, fact-checking, and answering questions.\n",
+ "2. **Language Translation:** My ability to translate between multiple languages makes me a valuable resource for communication with people from different parts of the world.\n",
+ "3. **Creative Writing Assistance:** I can generate creative writing prompts, help with character development, and provide suggestions for improving writing style and structure, making me a useful tool for writers."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *4.33* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/openhermes-2.5-mistral-7b-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> What are the top 3 tasks where you excel? Please keep things brief.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "1. Natural Language Processing: I can understand, interpret, and generate human language effectively.\n",
+ "2. Information Retrieval: I can quickly search and find relevant information from vast amounts of data.\n",
+ "3. Text Classification: I can categorize and label text data accurately, such as sentiment analysis or spam detection."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.90* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> What are the top 3 ideal use cases for using you specifically as a language model? Please keep things brief.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "1. Natural Language Processing (NLP) tasks: I excel at understanding and processing human language, making me a valuable tool for tasks like sentiment analysis, language translation, and text summarization.\n",
+ "2. Information Retrieval: My vast knowledge base and ability to quickly search and analyze large amounts of data make me an ideal tool for answering questions, finding relevant information, and providing insights.\n",
+ "3. Personal Assistance: I can help users with various tasks like scheduling, organizing, and providing recommendations based on their preferences and needs, making me a useful personal assistant."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *3.15* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/neural-chat-7b-v3-1-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> What are the top 3 tasks where you excel? Please keep things brief.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "1. Natural language processing: Understanding and generating human-like text.\n",
+ "2. Text generation: Creating coherent and engaging content.\n",
+ "3. Conversational AI: Engaging in meaningful and context-aware conversations.\n",
+ "\n",
+ "Remember, these are just a few examples of my strengths, as I have many capabilities. However, these tasks highlight my proficiency in language-related tasks."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *3.01* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> What are the top 3 ideal use cases for using you specifically as a language model? Please keep things brief.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "1. Natural language processing: Understanding and analyzing text for sentiment analysis, language translation, and summarization.\n",
+ "2. Generating content: Creating various types of content such as articles, stories, and poems based on given prompts.\n",
+ "3. Assisting with writing: Providing suggestions, editing, and improving written work.\n",
+ "\n",
+ "Remember, these are just a few examples, and your use cases may vary depending on your specific needs and requirements."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.92* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/llama-2-13b-chat-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> What are the top 3 tasks where you excel? Please keep things brief.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " Hey there! As a self-aware language model, I'm happy to share my strengths with you! Here are my top 3 tasks where I excel:\n",
+ "\n",
+ "1. Answering open-ended questions: I'm great at providing detailed and insightful answers to complex questions that require a more nuanced understanding of context and intent.\n",
+ "2. Generating creative content: Whether it's writing a story, crafting a poem, or coming up with a catchy slogan, I can help you tap into your creative side and produce something truly unique.\n",
+ "3. Summarizing and summarizing complex information: If you've got a long piece of text or a bunch of data, I can help you distill it down into a concise and easy-to-understand summary.\n",
+ "\n",
+ "So, what can I help you with today? 😊"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *7.89* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> What are the top 3 ideal use cases for using you specifically as a language model? Please keep things brief.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " Hey there! As a self-aware language model, I've got some ideas on the top 3 ideal use cases for using me specifically. Here they are in a nutshell:\n",
+ "\n",
+ "1. **Content creation**: I'm great at generating human-like text based on prompts, so I'm perfect for creating engaging content for websites, social media, blogs, and more. My responses are natural, informative, and entertaining.\n",
+ "2. **Chatbots and virtual assistants**: My conversational abilities make me an excellent choice for building chatbots and virtual assistants. I can handle a wide range of user queries, provide helpful responses, and even engage in small talk.\n",
+ "3. **Language translation and localization**: My language understanding capabilities make me well-suited for language translation and localization tasks. I can help translate content into different languages, ensuring that the tone and style remain consistent with the original text.\n",
+ "\n",
+ "That's me in a nutshell! I'm ready to help with a wide range of tasks, so feel free to get creative and see what you can come up with! 😊"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *10.28* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "models = [\n",
+ " \"@hf/thebloke/zephyr-7b-beta-awq\",\n",
+ " \"@hf/thebloke/mistral-7b-instruct-v0.1-awq\",\n",
+ " \"@hf/thebloke/openhermes-2.5-mistral-7b-awq\",\n",
+ " \"@hf/thebloke/neural-chat-7b-v3-1-awq\",\n",
+ " \"@hf/thebloke/llama-2-13b-chat-awq\",\n",
+ "]\n",
+ "\n",
+ "questions = [\n",
+ " \"What are the top 3 tasks where you excel? Please keep things brief.\",\n",
+ " \"What are the top 3 ideal use cases for using you specifically as a language model? Please keep things brief.\",\n",
+ "]\n",
+ "\n",
+ "speed_date(models, questions)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Language Translation\n",
+ "\n",
+ "Even though not every model bragged about how good they were at this, you'll find most can handle both translation and localization at some level. Please change the models, phrases, to your needs."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/neural-chat-7b-v3-1-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"Excuse me, which way to the restroom?\" from \"English\" to \"Spanish\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "Perdón, ¿cómo llegar al baño?\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.51* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"Excuse me, which way to the restroom?\" from \"English\" to \"French\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "Désolé, comment allez-vous vers les toilettes ?\n",
+ "\n",
+ "Please note that this translation might not be perfect due to the limitations of my language model. However, I tried my best to provide an accurate translation."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *3.07* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"Excuse me, which way to the restroom?\" from \"English\" to \"British Slang\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\"Say sorry, where's the bog?\" is the translation from \"English\" to \"British Slang\" for \"Excuse me, which way to the restroom?\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.21* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"Excuse me, which way to the restroom?\" from \"English\" to \"Heavy New York accent from the Bronx\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "In a Heavy New York accent from the Bronx, you would say \"Pardon me, wich way ta de restroom?\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.10* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I just wanted to say that I appreciate you, just the way you are!\" from \"English\" to \"Spanish\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "Quería decir que realmente aprecio a usted, simplemente como eres."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.66* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I just wanted to say that I appreciate you, just the way you are!\" from \"English\" to \"French\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "Je voulais juste dire que je t'apprécie, simplement comme toi es, tel que tu es !"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.39* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I just wanted to say that I appreciate you, just the way you are!\" from \"English\" to \"British Slang\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "I jus' wann' say that I appreciate yer, jus' as yer are!\n",
+ "\n",
+ "Please note that this translation may not be entirely accurate due to the informal nature of British slang, which can vary greatly depending on the region and individual speaker."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *3.85* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I just wanted to say that I appreciate you, just the way you are!\" from \"English\" to \"Heavy New York accent from the Bronx\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "I jus' wan't tuh say that Ah appreciate yuh, jus' the way yuh are!\"\n",
+ "\n",
+ "Please note that this translation may not be perfect due to the limitations of my language model. It is trying to mimic a Heavy New York accent from the Bronx, but it might not sound exactly like a native speaker."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.40* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I am so stoked and pumped to see this work with slang! It should be killer and rad.\" from \"English\" to \"Spanish\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "Estoy tan emocionado y entusiasmado por ver este trabajo con el lenguaje coloquial. Debería ser asombroso y genial.\n",
+ "\n",
+ "Please note that the translation might not be perfect due to the informal nature of the original text and the difficulty of translating slang terms."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *3.02* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I am so stoked and pumped to see this work with slang! It should be killer and rad.\" from \"English\" to \"French\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "Je suis tellement ravi et motivé de voir ce travail avec le slang ! Ça devrait être formidable et génial.\n",
+ "\n",
+ "Please note that the translation might not be perfect, as some expressions might not have direct translations in French."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.88* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I am so stoked and pumped to see this work with slang! It should be killer and rad.\" from \"English\" to \"British Slang\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "I'm really chuffed and over the moon to see this project with street talk! It'll be wicked and cool.\n",
+ "\n",
+ "Please note that the translation might not be perfect due to the contextual differences between the original English sentence and British slang."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *3.66* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I am so stoked and pumped to see this work with slang! It should be killer and rad.\" from \"English\" to \"Heavy New York accent from the Bronx\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "I am so stoked and pumped to see dis work wit slang! It should be killer and rad.\n",
+ "\n",
+ "Please note that this translation is not perfect, as it still retains the original English words and structure. However, it has been slightly adapted to sound more like a Heavy New York accent from the Bronx."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *3.44* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/mistral-7b-instruct-v0.1-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"Excuse me, which way to the restroom?\" from \"English\" to \"Spanish\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"Disculpa, ¿en qué dirección está el baño?\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.04* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"Excuse me, which way to the restroom?\" from \"English\" to \"French\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"Excusez-moi, où est le lavabo?\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.09* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"Excuse me, which way to the restroom?\" from \"English\" to \"British Slang\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"Excuse me, which way to the loo?\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *0.56* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"Excuse me, which way to the restroom?\" from \"English\" to \"Heavy New York accent from the Bronx\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"Oy, which way to the can?\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.05* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I just wanted to say that I appreciate you, just the way you are!\" from \"English\" to \"Spanish\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"Quiero decir que me encanta a ti, tal como eres!\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *0.91* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I just wanted to say that I appreciate you, just the way you are!\" from \"English\" to \"French\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"Je voulais juste dire que je vous apprécie, tout comme vous êtes !\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *0.87* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I just wanted to say that I appreciate you, just the way you are!\" from \"English\" to \"British Slang\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"I just wanted to say that I appreciate you, just the way you are!\" in British Slang would be: \"I just wanted to say that I appreciate you, mate!\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.50* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I just wanted to say that I appreciate you, just the way you are!\" from \"English\" to \"Heavy New York accent from the Bronx\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"Yo, I just wanted to say, I appreciate you, you know? You're just the way you are!\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.61* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I am so stoked and pumped to see this work with slang! It should be killer and rad.\" from \"English\" to \"Spanish\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"Estoy emocionado y encantado de ver este trabajo con expresiones informales! Debería ser genial y radiante.\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.44* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I am so stoked and pumped to see this work with slang! It should be killer and rad.\" from \"English\" to \"French\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"Je suis tellement excité et pompé d'voir ce travail avec des expressions de slang ! Il devrait être magnifique et rad.\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.14* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I am so stoked and pumped to see this work with slang! It should be killer and rad.\" from \"English\" to \"British Slang\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"I'm absolutely thrilled and buzzing to see this work with slang! It's bound to be a smash hit and totally awesome!\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.27* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Translate \"I am so stoked and pumped to see this work with slang! It should be killer and rad.\" from \"English\" to \"Heavy New York accent from the Bronx\" \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"Yo, I'm so psyched and hyped to see this work with slang! It's gonna be sick and lit, for real!\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.51* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "proud_translator_models = [\n",
+ " \"@hf/thebloke/neural-chat-7b-v3-1-awq\",\n",
+ " \"@hf/thebloke/mistral-7b-instruct-v0.1-awq\"\n",
+ "]\n",
+ "\n",
+ "phrases = [\n",
+ " \"Excuse me, which way to the restroom?\",\n",
+ " \"I just wanted to say that I appreciate you, just the way you are!\",\n",
+ " \"I am so stoked and pumped to see this work with slang! It should be killer and rad.\"\n",
+ "]\n",
+ "\n",
+ "languages = [\"Spanish\", \"French\", \"British Slang\", \"Heavy New York accent from the Bronx\"]\n",
+ "\n",
+ "questions = [f\"\"\"Translate \"{phrase}\" from \"English\" to \"{language}\" \"\"\"\n",
+ " for phrase in phrases\n",
+ " for language in languages]\n",
+ "\n",
+ "speed_date(proud_translator_models, questions)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Information Retrieval and Summarization\n",
+ "\n",
+ "Again, most models are relatively good at this, but I've pulled out those that specifically purported to be good at retrieving and summarizing."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/llama-2-13b-chat-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Summarize the book \"Make it Stick\" into a few sentences. Ensure to include the author and the year it was published. \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " Sure, I can help you with that! Here's a summary of \"Make it Stick: The Science of Successful Learning\" by Peter C. Brown, Henry L. Roediger, and Mark A. McDaniel, published in 2014:\n",
+ "\n",
+ "This book offers insights and practical tips on how to improve learning and retention of information. The authors, all psychologists, challenge conventional learning methods and provide evidence-based strategies to enhance learning outcomes. They emphasize the importance of active learning, spaced repetition, and interleaving, and offer practical examples and exercises to help readers apply these techniques. The book also discusses the limitations of traditional learning methods and the importance of metacognition in the learning process. Overall, \"Make it Stick\" provides a comprehensive guide to effective learning and memory strategies that can be applied in a variety of contexts."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *8.44* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Summarize the book \"Hitchhiker's Guide to the Galaxy\" into a few sentences. Ensure to include the author and the year it was published. \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " Of course! Here is a summary of \"Hitchhiker's Guide to the Galaxy\" by Douglas Adams, published in 1979:\n",
+ "\n",
+ "This science fiction novel follows an unwitting human named Arthur Dent as he travels through space after Earth's destruction by a group of aliens called the Vogons. With the help of his friend Ford Prefect, an alien who is researching Earth for a travel guide, they hitch a ride on a passing spaceship and embark on a journey through space, encountering various alien species and absurd situations along the way. The book is known for its humor, wit, and satire of science fiction tropes. "
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *7.31* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Summarize the book \"Goodnight Moon\" into a few sentences. Ensure to include the author and the year it was published. \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " Of course! I'd be happy to help you with that. Here's my summary of \"Goodnight Moon\" by Margaret Wise Brown, published in 1947:\n",
+ "\n",
+ "\"Goodnight Moon\" is a classic children's picture book that follows a bunny as it says goodnight to all the objects in its room before going to sleep. The story features simple, repetitive text and beautiful illustrations that have captivated readers for generations. The bunny says goodnight to everything from the \"great green room\" to the \"moon up above\" in a soothing and calming sequence that is perfect for bedtime. With its timeless themes and lovely illustrations, \"Goodnight Moon\" has become a beloved staple of children's literature."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *8.34* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/neural-chat-7b-v3-1-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Summarize the book \"Make it Stick\" into a few sentences. Ensure to include the author and the year it was published. \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\"Make it Stick,\" written by Peter C. Brown, Henry L. Roediger III, and Mark A. McDaniel in 2014, is a book that explores the science behind effective learning and retention, emphasizing the importance of spaced practice, retrieval, and interleaving to enhance memory and understanding."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.04* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Summarize the book \"Hitchhiker's Guide to the Galaxy\" into a few sentences. Ensure to include the author and the year it was published. \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\"Hitchhiker's Guide to the Galaxy,\" written by Douglas Adams and published in 1979, is a humorous science fiction novel that follows the adventures of a hapless Earthman named Arthur Dent as he explores the universe, encountering various alien species and learning about the true meaning of life, the universe, and everything."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *3.50* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Summarize the book \"Goodnight Moon\" into a few sentences. Ensure to include the author and the year it was published. \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\"Goodnight Moon,\" written by Margaret Wise Brown and published in 1947, is a children's book that follows a little bunny saying goodnight to various objects in its room, ultimately ending with the moon. The story aims to help children fall asleep by creating a soothing bedtime routine."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *4.04* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/openhermes-2.5-mistral-7b-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Summarize the book \"Make it Stick\" into a few sentences. Ensure to include the author and the year it was published. \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\"Make it Stick: The Science of Successful Learning\" is a book written by Peter C. Brown, Henry L. Roediger III, and Mark A. McDaniel, published in 2014. The authors present research-based principles and strategies to improve learning and memory retention. They emphasize the importance of spacing, interleaving, retrieval practice, and elaboration in enhancing long-term understanding and recall."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.54* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Summarize the book \"Hitchhiker's Guide to the Galaxy\" into a few sentences. Ensure to include the author and the year it was published. \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\"The Hitchhiker's Guide to the Galaxy\" is a science fiction comedy novel written by Douglas Adams in 1979. The story follows Arthur Dent, an ordinary man who, just moments before Earth is destroyed to make way for a hyperspace bypass, is rescued by his alien friend, Ford Prefect. Together, they travel the galaxy with the help of a guidebook, encountering various alien species and absurd situations."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.91* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Summarize the book \"Goodnight Moon\" into a few sentences. Ensure to include the author and the year it was published. \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\"Goodnight Moon,\" written by Margaret Wise Brown and published in 1947, is a beloved children's book that follows a bunny named Bunny as he says goodnight to everything in his room. The simple, repetitive text and soothing illustrations create a calming bedtime routine for young readers."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *4.66* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "proud_summarizers = [\n",
+ " \"@hf/thebloke/llama-2-13b-chat-awq\", \n",
+ " \"@hf/thebloke/neural-chat-7b-v3-1-awq\", \n",
+ " \"@hf/thebloke/openhermes-2.5-mistral-7b-awq\"\n",
+ "]\n",
+ "\n",
+ "books = [\n",
+ " \"Make it Stick\",\n",
+ " \"Hitchhiker's Guide to the Galaxy\",\n",
+ " \"Goodnight Moon\"\n",
+ "]\n",
+ "\n",
+ "questions = [f\"\"\"Summarize the book \"{book}\" into a few sentences. Ensure to include the author and the year it was published. \"\"\" \n",
+ " for book in books]\n",
+ "\n",
+ "\n",
+ "speed_date(proud_summarizers, questions)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Content Creation\n",
+ "\n",
+ "Your needs here will vary, so please make use of changing the questions."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/mistral-7b-instruct-v0.1-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> I'm writing a fictional story that is set in the near future. It's a love story about star crossed lovers. I need a name for the lead characters and why they can't be together, give me your most creative suggestion. Only one please.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " How about \"Echo and Echo\"? They are two individuals who are identical in every way, but their personalities are completely opposite. Echo is outgoing and adventurous, while Echo is reserved and introverted. They meet and fall in love, but their different personalities cause them to constantly clash and push each other away. Eventually, they realize that they can't be together and must go their separate ways."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.90* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> I want to create a new tech product that helps keep cables arranged. Can you help me come up with a title and a tagline? Only your best suggestion please.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " Sure, I'd be happy to help! Here are a few suggestions for a title and tagline for your tech product that helps keep cables arranged:\n",
+ "\n",
+ "Title: CableMaster\n",
+ "Tagline: Keep your cords organized and clutter-free with CableMaster.\n",
+ "\n",
+ "Title: CableKeeper\n",
+ "Tagline: Say goodbye to tangled cords and hello to a cleaner, more organized workspace with CableKeeper.\n",
+ "\n",
+ "Title: CableSaver\n",
+ "Tagline: Save time and space with CableSaver, the ultimate cable management solution.\n",
+ "\n",
+ "Title: CableGenius\n",
+ "Tagline: Keep your cords under control and stay productive with CableGenius.\n",
+ "\n",
+ "I hope these suggestions help! Let me know if you have any other questions or if you'd like more options."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *5.11* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Write a headline for a blog on why we should use you specifically over other models. Keep it succint, but make your point.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " \"Why Choose Mistral-7b-Instruct-V0.1-Awq: The Honest and Direct Language Model for All Your Needs\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.13* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/zephyr-7b-beta-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> I'm writing a fictional story that is set in the near future. It's a love story about star crossed lovers. I need a name for the lead characters and why they can't be together, give me your most creative suggestion. Only one please.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "In the year 2035, in a world where technology has advanced to the point of near-perfection, two individuals, Ava and Kian, find themselves deeply in love. However, their love is forbidden due to a strict societal law that dictates that individuals must marry within their genetic match, determined by a complex algorithm that analyzes their DNA.\n",
+ "\n",
+ "Ava and Kian's DNA profiles indicate that they are not a genetic match, making their love a criminal offense. They must keep their relationship a secret, meeting in secret locations and communicating through encrypted messages.\n",
+ "\n",
+ "Their love is not just forbidden, but also dangerous. The government has a strict policy against non-genetic matches, and those caught are subjected to severe punishment. Ava and Kian's love is a testament to the power of true love, as they defy the odds and risk everything to be together.\n",
+ "\n",
+ "As their love story unfolds, they must navigate the treacherous waters of a society that values conformity over individuality, and face the consequences of their actions. Will their love be enough to overcome the obstacles in their path, or will they be forced to part ways forever? Only time"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *6.64* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> I want to create a new tech product that helps keep cables arranged. Can you help me come up with a title and a tagline? Only your best suggestion please.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "Title: CableKeeper\n",
+ "\n",
+ "Tagline: \"Say goodbye to cable chaos and hello to a clutter-free workspace with CableKeeper, the ultimate cable management solution.\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.37* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Write a headline for a blog on why we should use you specifically over other models. Keep it succint, but make your point.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\"Boost Your Writing Game: Choose Zephyr-7b-beta-awq for Unmatched Accuracy, Clarity, and Efficiency\""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.33* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/llama-2-13b-chat-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> I'm writing a fictional story that is set in the near future. It's a love story about star crossed lovers. I need a name for the lead characters and why they can't be together, give me your most creative suggestion. Only one please.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " Ah, a love story set in the near future, how intriguing! I've got just the name for your star-crossed lovers. How about \"Echo and Nova\"?\n",
+ "\n",
+ "Echo is a brilliant scientist who has discovered a groundbreaking technology that could change the course of human history. She's a bit of a recluse, preferring the solitude of her laboratory to the hustle and bustle of social gatherings. Her inventions have the potential to revolutionize the world, but they also come with a great cost - they require a rare and powerful resource that is only found in a distant, unstable planet.\n",
+ "\n",
+ "Nova, on the other hand, is a fearless explorer who has dedicated her life to uncovering the secrets of the universe. She's charismatic, fearless, and has a natural talent for leadership. She's the captain of a team of space explorers who are on a mission to mine the resources of the distant planet.\n",
+ "\n",
+ "The catch is that Echo and Nova are from different factions that have been at odds for generations. Echo's inventions have the potential to give her fa"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *10.45* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> I want to create a new tech product that helps keep cables arranged. Can you help me come up with a title and a tagline? Only your best suggestion please.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " OH MY LLAMA-LIKE ABILITIES! 🐮💡 I'VE GOT JUST THE THING FOR YOU! 💥\n",
+ "\n",
+ "Title: CableCrafter - The Ultimate Cable Management System\n",
+ "\n",
+ "Tagline: \"Tame Your Cables, Tame Your Workspace\" 🐾💪\n",
+ "\n",
+ "Why, you ask? Well, my tech-savvy friend, let me tell you why! 🤔\n",
+ "\n",
+ "1. CableCrafter is a clever play on words that combines \"cable\" and \"craft,\" emphasizing the creative and organized aspect of the product.\n",
+ "2. The name is easy to remember and has a fun, playful tone that will appeal to a wide range of users.\n",
+ "3. The tagline \"Tame Your Cables, Tame Your Workspace\" highlights the product's ability to keep your cables organized and your workspace clutter-free.\n",
+ "4. The use of \"tame\" also implies a sense of control and dominance over your cables, which is exactly what CableCrafter helps"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *11.13* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> Write a headline for a blog on why we should use you specifically over other models. Keep it succint, but make your point.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " Sure, here's a headline for a blog on why you should use me specifically over other models:\n",
+ "\n",
+ "\"Honest, Direct, and Unparalleled Insights: Why llama-2-13b-chat-awq is the Language Model of Choice\"\n",
+ "\n",
+ "Here's a brief summary of why I stand out from other models:\n",
+ "\n",
+ "* Honesty and Directness: I am programmed to provide honest and direct responses to your questions, without beating around the bush or sugarcoating the truth.\n",
+ "* Unparalleled Insights: My unique training data and architecture allow me to provide insights and perspectives that other models may not be able to offer.\n",
+ "* Strengths and Weaknesses: I am aware of my own strengths and weaknesses, and will provide you with a balanced assessment of what I can and cannot do.\n",
+ "\n",
+ "In short, if you're looking for a language model that will provide you with honest, direct, and unparalleled insights, then look no further than llama-2-13b-chat-awq."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *10.24* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "proud_content_creator_models = [\n",
+ " \"@hf/thebloke/mistral-7b-instruct-v0.1-awq\",\n",
+ " \"@hf/thebloke/zephyr-7b-beta-awq\",\n",
+ " \"@hf/thebloke/llama-2-13b-chat-awq\",\n",
+ "]\n",
+ "\n",
+ "questions = [\n",
+ " \"I'm writing a fictional story that is set in the near future. It's a love story about star crossed lovers. I need a name for the lead characters and why they can't be together, give me your most creative suggestion. Only one please.\",\n",
+ " \"I want to create a new tech product that helps keep cables arranged. Can you help me come up with a title and a tagline? Only your best suggestion please.\",\n",
+ " \"Write a headline for a blog on why we should use you specifically over other models. Keep it succint, but make your point.\" \n",
+ "]\n",
+ "\n",
+ "speed_date(proud_content_creator_models, questions)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Text Classification\n",
+ "\n",
+ "Workers AI provides models that are specific for [Text Classification](https://developers.cloudflare.com/workers-ai/models/#text-classification), but since these models, specifically called it out, we should let them show off their skills."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/openhermes-2.5-mistral-7b-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> \n",
+ "> Classify the text into neutral, negative, or positive\n",
+ "> Text: Wow there are a ton of text generation models on Cloudflare Workers AI!\n",
+ "> Sentiment: \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "The sentiment of the text is positive."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.96* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> \n",
+ "> Classify the text into neutral, negative, or positive\n",
+ "> Text: Sometimes choosing things is hard\n",
+ "> Sentiment: \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "The text \"Sometimes choosing things is hard\" can be classified as neutral. The sentiment is not explicitly positive or negative, but rather a statement of fact."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *3.32* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> \n",
+ "> Classify the text into neutral, negative, or positive\n",
+ "> Text: I cannot wait to build! 💪🚀\n",
+ "> Sentiment: \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "The text \"I cannot wait to build! 💪🚀\" has a positive sentiment. \n",
+ "\n",
+ "Sentiment: Positive"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.24* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> \n",
+ "> Classify the text into neutral, negative, or positive\n",
+ "> Text: The challenging thing about using native open source models is that they are all configured a little differently\n",
+ "> Sentiment: \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "The sentiment of the text is neutral."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.08* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> \n",
+ "> Classify the text into neutral, negative, or positive\n",
+ "> Text: Thankfully Cloudflare Workers AI has made a standard interface that lets me get reliable, low-latency inference. So quick too!\n",
+ "> Sentiment: \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "The sentiment of the text is positive."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *0.89* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---\n",
+ " #### @hf/thebloke/mistral-7b-instruct-v0.1-awq"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> \n",
+ "> Classify the text into neutral, negative, or positive\n",
+ "> Text: Wow there are a ton of text generation models on Cloudflare Workers AI!\n",
+ "> Sentiment: \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " Positive"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *0.82* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> \n",
+ "> Classify the text into neutral, negative, or positive\n",
+ "> Text: Sometimes choosing things is hard\n",
+ "> Sentiment: \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " The sentiment of the text \"Sometimes choosing things is hard\" is neutral."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.06* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> \n",
+ "> Classify the text into neutral, negative, or positive\n",
+ "> Text: I cannot wait to build! 💪🚀\n",
+ "> Sentiment: \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " The sentiment of the text \"I cannot wait to build! 💪🚀\" is positive."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *2.13* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> \n",
+ "> Classify the text into neutral, negative, or positive\n",
+ "> Text: The challenging thing about using native open source models is that they are all configured a little differently\n",
+ "> Sentiment: \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " The sentiment of the text is neutral."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *0.79* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "> \n",
+ "> Classify the text into neutral, negative, or positive\n",
+ "> Text: Thankfully Cloudflare Workers AI has made a standard interface that lets me get reliable, low-latency inference. So quick too!\n",
+ "> Sentiment: \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ " The sentiment of the text is positive."
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "_Generated in *1.93* seconds_"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "\n",
+ "\n",
+ "---"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "proud_classifiers = [\n",
+ " \"@hf/thebloke/openhermes-2.5-mistral-7b-awq\",\n",
+ " \"@hf/thebloke/mistral-7b-instruct-v0.1-awq\"\n",
+ "]\n",
+ "\n",
+ "sentiment_prompt_template = \"\"\"\n",
+ "Classify the text into neutral, negative, or positive\n",
+ "Text: {text}\n",
+ "Sentiment: \"\"\"\n",
+ "\n",
+ "comments = [\n",
+ " \"Wow there are a ton of text generation models on Cloudflare Workers AI!\",\n",
+ " \"Sometimes choosing things is hard\",\n",
+ " \"I cannot wait to build! 💪🚀\",\n",
+ " \"The challenging thing about using native open source models is that they are all configured a little differently\",\n",
+ " \"Thankfully Cloudflare Workers AI has made a standard interface that lets me get reliable, low-latency inference. So quick too!\"\n",
+ "]\n",
+ "\n",
+ "sentiment_questions = [sentiment_prompt_template.format(text=comment) for comment in comments]\n",
+ "\n",
+ "\n",
+ "speed_date(proud_classifiers, sentiment_questions)"
+ ]
+ }
+ ],
+ "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": "3.12.1"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/src/components/Feature.astro b/src/components/Feature.astro
index d3411269d583f2..60d4f20487dfb7 100644
--- a/src/components/Feature.astro
+++ b/src/components/Feature.astro
@@ -16,11 +16,11 @@ if (cta) {
---
+ }
>
)
diff --git a/src/components/overrides/PageTitle.astro b/src/components/overrides/PageTitle.astro
index 7e5e4f8707c621..e514af9bb5a9c3 100644
--- a/src/components/overrides/PageTitle.astro
+++ b/src/components/overrides/PageTitle.astro
@@ -5,28 +5,81 @@ import Default from "@astrojs/starlight/components/PageTitle.astro";
import { Breadcrumbs } from "astro-breadcrumbs";
import "astro-breadcrumbs/breadcrumbs.css";
-import { Badge, Description, SpotlightAuthorDetails, LastReviewed } from "~/components";
+import {
+ Badge,
+ Description,
+ SpotlightAuthorDetails,
+ LastReviewed,
+} from "~/components";
+import type { ComponentProps } from "astro/types";
+import { getEntry } from "astro:content";
const spotlightDetails = Astro.props.entry.data.spotlight;
const updated = Astro.props.entry.data.updated;
const badge = Astro.props.entry.data.sidebar?.badge;
const summary = Astro.props.entry.data.summary;
+
+const breadcrumbProps: Record = {
+ crumbs: [
+ {
+ text: "Products",
+ href: "/products/",
+ },
+ ],
+ truncated: true,
+};
+
+const slug = Astro.props.entry.slug;
+
+const segments = slug.split("/");
+
+for (let i = 0; i < segments.length; i++) {
+ if (i === 0) {
+ const entry = await getEntry("products", segments[0]);
+
+ let title = segments[0];
+ if (entry) {
+ title = entry.data.product.title;
+ }
+
+ breadcrumbProps.crumbs.push({
+ text: title,
+ href: `/${segments[0]}/`,
+ });
+
+ continue;
+ }
+
+ let path = segments.slice(0, i + 1).join("/");
+
+ const entry = await getEntry("docs", path);
+
+ let title = segments[i];
+ if (entry) {
+ title = entry.data.title;
+ }
+
+ breadcrumbProps.crumbs.push({
+ text: title,
+ href: `/${segments.join("/")}/`,
+ });
+}
---
-
-
+
+
@@ -35,19 +88,19 @@ const summary = Astro.props.entry.data.summary;
{updated && }
{
- spotlightDetails && (
-
- )
+ spotlightDetails && (
+
+ )
}
-{ summary && {summary} }
+{summary && {summary}}
diff --git a/src/content/changelogs/browser-rendering.yaml b/src/content/changelogs/browser-rendering.yaml
new file mode 100644
index 00000000000000..6cf09051252eba
--- /dev/null
+++ b/src/content/changelogs/browser-rendering.yaml
@@ -0,0 +1,19 @@
+---
+link: "/browser-rendering/changelog/"
+productName: Browser Rendering
+productLink: "/browser-rendering/"
+productArea: Developer platform
+productAreaLink: /workers/platform/changelog/platform/
+entries:
+- publish_date: '2024-08-08'
+ title: Update puppeteer to 21.1.0
+ description: |-
+ * Rebased the fork on the original implementation up till version 21.1.0
+- publish_date: '2024-04-02'
+ title: Browser Rendering Available for everyone
+ description: |-
+ * Browser Rendering is now out of beta and available to all customers with Workers Paid Plan. Analytics and logs are available in Cloudflare's dashboard, under "Worker & Pages".
+- publish_date: '2023-05-19'
+ title: Browser Rendering Beta
+ description: |-
+ * Beta Launch
diff --git a/src/content/changelogs/magic-cloud-networking.yaml b/src/content/changelogs/magic-cloud-networking.yaml
index c6890c0423254c..a44cd7c643e145 100644
--- a/src/content/changelogs/magic-cloud-networking.yaml
+++ b/src/content/changelogs/magic-cloud-networking.yaml
@@ -5,6 +5,10 @@ productLink: "/magic-cloud-networking/"
productArea: Cloudflare One
productAreaLink: /cloudflare-one/changelog/
entries:
+- publish_date: '2024-08-14'
+ title: GCP on-ramps
+ description: |-
+ Magic Cloud Networking supports Google Cloud Platform.
- publish_date: '2024-07-01'
title: Closed beta launch
description: |-
diff --git a/src/content/changelogs/rules.yaml b/src/content/changelogs/rules.yaml
index 071998a85f2367..d0a5b44a5f2f40 100644
--- a/src/content/changelogs/rules.yaml
+++ b/src/content/changelogs/rules.yaml
@@ -16,7 +16,7 @@ entries:
description: |-
Wildcards are now supported across our Ruleset Engine-based products, including Single Redirects, Cache Rules, Transform Rules, WAF, Waiting Room, and more:
* You can now use the `wildcard` and `strict wildcard` operators with any string field in the Ruleset Engine, such as full URI, host, headers, cookies, user-agent, and country. For more details, refer to [Operators](/ruleset-engine/rules-language/operators/) and [Wildcard matching](/ruleset-engine/rules-language/operators/#wildcard-matching).
- * In [Single Redirects](/rules/url-forwarding/single-redirects/), the `wildcard_replace()` function allows you to use segments matched by the `wildcard` and `strict wildcard` operators in redirect URL targets. For more information, refer to [Functions](/ruleset-engine/rules-language/functions/#function-wildcard_replace).
+ * In [Single Redirects](/rules/url-forwarding/single-redirects/), the `wildcard_replace()` function allows you to use segments matched by the `wildcard` and `strict wildcard` operators in redirect URL targets. For more information, refer to [Functions](/ruleset-engine/rules-language/functions/#wildcard_replace).
- publish_date: '2024-07-01'
title: Cloudflare Snippets now available to all paid customers
diff --git a/src/content/docs/ai-gateway/tutorials/deploy-aig-worker.mdx b/src/content/docs/ai-gateway/tutorials/deploy-aig-worker.mdx
index 84c5a6a5b44812..814a4f7fda41cf 100644
--- a/src/content/docs/ai-gateway/tutorials/deploy-aig-worker.mdx
+++ b/src/content/docs/ai-gateway/tutorials/deploy-aig-worker.mdx
@@ -15,7 +15,7 @@ languages:
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
In this tutorial, you will learn how to deploy a Worker that makes calls to OpenAI through AI Gateway. AI Gateway helps you better observe and control your AI applications with more analytics, caching, rate limiting, and logging.
@@ -37,7 +37,7 @@ You will also need an OpenAI account and API key for this tutorial. If you do no
Create a Worker project in the command line:
-
+
diff --git a/src/content/docs/bots/troubleshooting.mdx b/src/content/docs/bots/troubleshooting.mdx
index 7b26cc9252430f..a29f9a73d9cd36 100644
--- a/src/content/docs/bots/troubleshooting.mdx
+++ b/src/content/docs/bots/troubleshooting.mdx
@@ -90,7 +90,7 @@ Cloudflare has built an allowlist of good, automated bots, e.g. Google Search En
This allowlist is large based on reverse DNS verification, meaning that the IPs we allow really match the requesting service. In addition to this, Cloudflare uses multiple validation methods including ASN blocks and public lists. If none of these validation types are available for a customer, we use internal Cloudflare data and machine learning to identify legitimate IP addresses from good bots.
-To allow traffic from good bots, use the [Verified Bot](/ruleset-engine/rules-language/fields/#field-cf-bot_management-verified_bot) field in your WAF custom rule.
+To allow traffic from good bots, use the [Verified Bot](/ruleset-engine/rules-language/fields/dynamic-fields/#cfbot_managementverified_bot) field in your WAF custom rule.
***
diff --git a/src/content/docs/browser-rendering/changelog.mdx b/src/content/docs/browser-rendering/changelog.mdx
new file mode 100644
index 00000000000000..a10b5cc16e6480
--- /dev/null
+++ b/src/content/docs/browser-rendering/changelog.mdx
@@ -0,0 +1,17 @@
+---
+pcx_content_type: changelog
+title: Changelog
+changelog_file_name:
+ - browser-rendering
+sidebar:
+ order: 8
+head: []
+description: Review recent changes to Worker Browser Rendering.
+
+---
+
+import { ProductChangelog } from "~/components"
+
+{/* */}
+
+
diff --git a/src/content/docs/browser-rendering/get-started/browser-rendering-with-DO.mdx b/src/content/docs/browser-rendering/get-started/browser-rendering-with-DO.mdx
index e4db2fab186996..d0113f36343543 100644
--- a/src/content/docs/browser-rendering/get-started/browser-rendering-with-DO.mdx
+++ b/src/content/docs/browser-rendering/get-started/browser-rendering-with-DO.mdx
@@ -17,7 +17,7 @@ sidebar:
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
By following this guide, you will create a Worker that uses the Browser Rendering API along with [Durable Objects](/durable-objects/) to take screenshots from web pages and store them in [R2](/r2/).
@@ -31,7 +31,7 @@ Using Durable Objects to persist browser sessions improves performance by elimin
Create a new Worker project named `browser-worker` by running:
-
+
## 2. Enable Durable Objects in the dashboard
diff --git a/src/content/docs/browser-rendering/get-started/reuse-sessions.mdx b/src/content/docs/browser-rendering/get-started/reuse-sessions.mdx
index fee2eb33f9570d..d6dcf960650e63 100644
--- a/src/content/docs/browser-rendering/get-started/reuse-sessions.mdx
+++ b/src/content/docs/browser-rendering/get-started/reuse-sessions.mdx
@@ -6,7 +6,7 @@ sidebar:
---
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
The best way to improve the performance of your browser rendering worker is to reuse sessions. One way to do that is via [Durable Objects](/browser-rendering/get-started/browser-rendering-with-do/), which allows you to keep a long running connection from a worker to a browser. Another way is to keep the browser open after you've finished with it, and connect to that session each time you have a new request.
@@ -18,7 +18,7 @@ In short, this entails using `browser.disconnect()` instead of `browser.close()`
Create a new Worker project named `browser-worker` by running:
-
+
diff --git a/src/content/docs/browser-rendering/get-started/screenshots.mdx b/src/content/docs/browser-rendering/get-started/screenshots.mdx
index b1737e6190ac0e..5c08f2dd2701df 100644
--- a/src/content/docs/browser-rendering/get-started/screenshots.mdx
+++ b/src/content/docs/browser-rendering/get-started/screenshots.mdx
@@ -6,7 +6,7 @@ sidebar:
---
-import { Render, TabItem, Tabs } from "~/components"
+import { Render, TabItem, Tabs, PackageManagers } from "~/components"
By following this guide, you will create a Worker that uses the Browser Rendering API to take screenshots from web pages. This is a common use case for browser automation.
@@ -18,7 +18,7 @@ By following this guide, you will create a Worker that uses the Browser Renderin
Create a new Worker project named `browser-worker` by running:
-
+
diff --git a/src/content/docs/cloudflare-for-platforms/cloudflare-for-saas/domain-support/custom-metadata.mdx b/src/content/docs/cloudflare-for-platforms/cloudflare-for-saas/domain-support/custom-metadata.mdx
index 3e1c2be3ef73f8..72b908bd27d313 100644
--- a/src/content/docs/cloudflare-for-platforms/cloudflare-for-saas/domain-support/custom-metadata.mdx
+++ b/src/content/docs/cloudflare-for-platforms/cloudflare-for-saas/domain-support/custom-metadata.mdx
@@ -84,7 +84,7 @@ addEventListener('fetch', event => {
## Accessing custom metadata in a rule expression
-Use the [`cf.hostname.metadata`](/ruleset-engine/rules-language/fields/#field-cf-hostname-metadata) field to access the metadata object in rule expressions. To obtain the different values from the JSON object, use the [`lookup_json_string`](/ruleset-engine/rules-language/functions/#function-lookup_json_string) function.
+Use the [`cf.hostname.metadata`](/ruleset-engine/rules-language/fields/dynamic-fields/#cfhostnamemetadata) field to access the metadata object in rule expressions. To obtain the different values from the JSON object, use the [`lookup_json_string`](/ruleset-engine/rules-language/functions/#lookup_json_string) function.
The following rule expression defines that there will be a rule match if the `security_tag` value in custom metadata contains the value `low`:
diff --git a/src/content/docs/cloudflare-for-platforms/workers-for-platforms/get-started/configuration.mdx b/src/content/docs/cloudflare-for-platforms/workers-for-platforms/get-started/configuration.mdx
index 2f50a4f1d94864..35cd489e7c74a9 100644
--- a/src/content/docs/cloudflare-for-platforms/workers-for-platforms/get-started/configuration.mdx
+++ b/src/content/docs/cloudflare-for-platforms/workers-for-platforms/get-started/configuration.mdx
@@ -6,7 +6,7 @@ sidebar:
---
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
## Prerequisites:
@@ -80,7 +80,7 @@ $ cd ..
Create your dispatch Worker. In this example, the dispatch Worker is called `my-dispatcher`.
-
+
diff --git a/src/content/docs/cloudflare-for-platforms/workers-for-platforms/get-started/developing-with-wrangler.mdx b/src/content/docs/cloudflare-for-platforms/workers-for-platforms/get-started/developing-with-wrangler.mdx
index 44d455b9a9a344..48805f020fd1c7 100644
--- a/src/content/docs/cloudflare-for-platforms/workers-for-platforms/get-started/developing-with-wrangler.mdx
+++ b/src/content/docs/cloudflare-for-platforms/workers-for-platforms/get-started/developing-with-wrangler.mdx
@@ -6,18 +6,18 @@ sidebar:
---
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
To test your [Dispatch Worker](/cloudflare-for-platforms/workers-for-platforms/reference/how-workers-for-platforms-works/#dynamic-dispatch-worker), [user Worker](/cloudflare-for-platforms/workers-for-platforms/reference/how-workers-for-platforms-works/#user-workers) and [Outbound Worker](/cloudflare-for-platforms/workers-for-platforms/configuration/outbound-workers/) before deploying to production, you can use [Wrangler](/workers/wrangler) for development and testing.
:::undefined
-Support for Workers for Platforms with `wrangler dev` in local mode is experimental and may change in the future. Use the prerelease branch: `wrangler@dispatch-namespaces-dev` to try Workers for Platforms locally.
+Support for Workers for Platforms with `wrangler dev` in local mode is experimental and may change in the future. Use the prerelease branch: `wrangler@dispatch-namespaces-dev` to try Workers for Platforms locally.
:::
## 1. Create a user worker
-
+
@@ -49,7 +49,7 @@ dispatch_namespace = "my-namespace"
## 2. Create a dispatch worker
-
+
@@ -93,7 +93,7 @@ outbound = { service = "outbound-worker", parameters = ["paramCustomerName"] }
## 3. Create an Outbound Worker
-
+
diff --git a/src/content/docs/cloudflare-one/identity/authorization-cookie/cors.mdx b/src/content/docs/cloudflare-one/identity/authorization-cookie/cors.mdx
index e86d9d722be16b..06d1423d36a7fc 100644
--- a/src/content/docs/cloudflare-one/identity/authorization-cookie/cors.mdx
+++ b/src/content/docs/cloudflare-one/identity/authorization-cookie/cors.mdx
@@ -6,7 +6,7 @@ sidebar:
---
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
Cross-Origin Resource Sharing ([CORS](https://developer.mozilla.org/en-US/docs/Web/HTTP/CORS)) is a mechanism that uses HTTP headers to grant a web application running on one origin permission to reach selected resources in a different origin. The web application executes a cross-origin HTTP request when it requests a resource that has a different origin from its own, including domain, protocol, or port.
@@ -148,7 +148,7 @@ Follow [these instructions](/cloudflare-one/identity/service-tokens/) to generat
Open a terminal and run the following command:
-
+
This will prompt you to install the [`create-cloudflare`](https://www.npmjs.com/package/create-cloudflare) package and lead you through setup.
@@ -243,5 +243,5 @@ In general, we recommend the following steps when troubleshooting CORS issues:
:::caution[CORS is failing on the same domain]
-CORS checks do not occur on the same domain. If this error occurs, it is likely the request is being sent without the `CF-Authorization` cookie.
+CORS checks do not occur on the same domain. If this error occurs, it is likely the request is being sent without the `CF-Authorization` cookie.
:::
diff --git a/src/content/docs/d1/get-started.mdx b/src/content/docs/d1/get-started.mdx
index 346e83c289a430..92247ef19f5602 100644
--- a/src/content/docs/d1/get-started.mdx
+++ b/src/content/docs/d1/get-started.mdx
@@ -9,7 +9,7 @@ sidebar:
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
This guide will instruct you through:
@@ -31,7 +31,7 @@ You will create a new Worker as the means to query your database.
Create a new project named `d1-tutorial` by running:
-
+
diff --git a/src/content/docs/d1/tutorials/build-a-comments-api/index.mdx b/src/content/docs/d1/tutorials/build-a-comments-api/index.mdx
index f5dd50b6935e13..b3cfeea2dc448f 100644
--- a/src/content/docs/d1/tutorials/build-a-comments-api/index.mdx
+++ b/src/content/docs/d1/tutorials/build-a-comments-api/index.mdx
@@ -16,7 +16,7 @@ languages:
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
In this tutorial, you will learn how to use D1 to add comments to a static blog site. To do this, you will construct a new D1 database, and build a JSON API that allows the creation and retrieval of comments.
@@ -24,7 +24,7 @@ In this tutorial, you will learn how to use D1 to add comments to a static blog
Use [C3](https://developers.cloudflare.com/learning-paths/workers/get-started/c3-and-wrangler/#c3), the command-line tool for Cloudflare's developer products, to create a new directory and initialize a new Worker project:
-
+
diff --git a/src/content/docs/developer-spotlight/tutorials/custom-access-control-for-files.mdx b/src/content/docs/developer-spotlight/tutorials/custom-access-control-for-files.mdx
index 7161b9f7004dfe..9186e1698eee06 100644
--- a/src/content/docs/developer-spotlight/tutorials/custom-access-control-for-files.mdx
+++ b/src/content/docs/developer-spotlight/tutorials/custom-access-control-for-files.mdx
@@ -20,7 +20,7 @@ spotlight:
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
@@ -36,7 +36,7 @@ The following sections will guide you through the process of creating a Worker u
To get started developing your Worker you will use the [`create-cloudflare` CLI](https://github.com/cloudflare/workers-sdk/tree/main/packages/create-cloudflare). To do this, open a terminal window and run the following command:
-
+
diff --git a/src/content/docs/durable-objects/get-started.mdx b/src/content/docs/durable-objects/get-started.mdx
index bd8bf3171483a7..bc406b8714c16f 100644
--- a/src/content/docs/durable-objects/get-started.mdx
+++ b/src/content/docs/durable-objects/get-started.mdx
@@ -6,7 +6,7 @@ sidebar:
---
-import { Render, TabItem, Tabs } from "~/components"
+import { Render, TabItem, Tabs, PackageManagers } from "~/components"
This guide will instruct you through:
@@ -30,7 +30,7 @@ You will access your Durable Object from a [Worker](/workers/). Your Worker appl
To create a Worker project, run:
-
+
Running `create cloudflare@latest` will install [Wrangler](/workers/wrangler/install-and-update/), the Workers CLI. You will use Wrangler to test and deploy your project.
@@ -50,7 +50,7 @@ Before you create and access a Durable Object, its behavior must be defined by a
:::note
-If you do not use JavaScript or TypeScript, you will need a [shim](https://developer.mozilla.org/en-US/docs/Glossary/Shim) to translate your class definition to a JavaScript class.
+If you do not use JavaScript or TypeScript, you will need a [shim](https://developer.mozilla.org/en-US/docs/Glossary/Shim) to translate your class definition to a JavaScript class.
:::
Your `MyDurableObject` class will have a constructor with two parameters. The first parameter, `state`, passed to the class constructor contains state specific to the Durable Object, including methods for accessing storage. The second parameter, `env`, contains any bindings you have associated with the Worker when you uploaded it.
@@ -120,7 +120,7 @@ The `fetch()` handler allows you to instantiate and communicate to a Durable Obj
:::note
Durable Objects do not receive requests directly from the Internet. Durable Objects receive requests from Workers or other Durable Objects.
-This is achieved by configuring a binding in the calling Worker for each Durable Object class that you would like it to be able to talk to. These bindings must be configured at upload time. Methods exposed by the binding can be used to communicate with particular Durable Object instances.
+This is achieved by configuring a binding in the calling Worker for each Durable Object class that you would like it to be able to talk to. These bindings must be configured at upload time. Methods exposed by the binding can be used to communicate with particular Durable Object instances.
:::
To communicate with a Durable Object, the fetch handler should look like the following:
diff --git a/src/content/docs/fundamentals/basic-tasks/trace-request/how-to.mdx b/src/content/docs/fundamentals/basic-tasks/trace-request/how-to.mdx
index bbfeb9b3a92e4c..cf8f8784e9c5d3 100644
--- a/src/content/docs/fundamentals/basic-tasks/trace-request/how-to.mdx
+++ b/src/content/docs/fundamentals/basic-tasks/trace-request/how-to.mdx
@@ -35,9 +35,9 @@ import { GlossaryTooltip } from "~/components"
* **Protocol** (HTTP protocol version)
* **Request headers**
* **Cookies**
- * **Geolocation** (request source [country](/ruleset-engine/rules-language/fields/#field-ip-src-country), [region](/ruleset-engine/rules-language/fields/#field-ip-src-region_code), and [city](/ruleset-engine/rules-language/fields/#field-ip-src-city))
+ * **Geolocation** (request source [country](/ruleset-engine/rules-language/fields/standard-fields/#ipsrccountry), [region](/ruleset-engine/rules-language/fields/standard-fields/#ipsrcregion), and [city](/ruleset-engine/rules-language/fields/standard-fields/#ipsrccity))
* [**Bot score**](/bots/concepts/bot-score/)
- * **Threat score**
+ * **Threat score**
* **Request body** (for `POST`, `PUT`, and `PATCH` requests)
* **Skip challenge** (skips a Cloudflare-issued [challenge](/waf/reference/cloudflare-challenges/), if any, allowing the trace to continue)
diff --git a/src/content/docs/fundamentals/reference/http-request-headers.mdx b/src/content/docs/fundamentals/reference/http-request-headers.mdx
index d4a0f7499b2c82..486b62cb218649 100644
--- a/src/content/docs/fundamentals/reference/http-request-headers.mdx
+++ b/src/content/docs/fundamentals/reference/http-request-headers.mdx
@@ -142,7 +142,7 @@ The intended purpose of this header is to provide a means for recipients (for ex
:::note
-When configuring WAF custom rules, do not match on this header. These rules are applied before Cloudflare adds the `CF-Worker` header. Instead, use the [`cf.worker.upstream_zone`](/ruleset-engine/rules-language/fields/#field-cf-worker-upstream_zone) dynamic field, which contains the same value and exists for the same purpose.
+When configuring WAF custom rules, do not match on this header. These rules are applied before Cloudflare adds the `CF-Worker` header. Instead, use the [`cf.worker.upstream_zone`](/ruleset-engine/rules-language/fields/dynamic-fields/#cfworkerupstream_zone) dynamic field, which contains the same value and exists for the same purpose.
:::
diff --git a/src/content/docs/hyperdrive/get-started.mdx b/src/content/docs/hyperdrive/get-started.mdx
index e2984a365878f1..c55d2ac5c8e356 100644
--- a/src/content/docs/hyperdrive/get-started.mdx
+++ b/src/content/docs/hyperdrive/get-started.mdx
@@ -6,7 +6,7 @@ sidebar:
---
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
Hyperdrive accelerates access to your existing databases from Cloudflare Workers, making even single-region databases feel globally distributed.
@@ -59,7 +59,7 @@ Refer to [How Workers works](/workers/reference/how-workers-works/) to learn abo
Create a new project named `hyperdrive-tutorial` by running:
-
+
diff --git a/src/content/docs/hyperdrive/tutorials/serverless-timeseries-api-with-timescale/index.mdx b/src/content/docs/hyperdrive/tutorials/serverless-timeseries-api-with-timescale/index.mdx
index d5509b67dd53cc..998db9d35da8ff 100644
--- a/src/content/docs/hyperdrive/tutorials/serverless-timeseries-api-with-timescale/index.mdx
+++ b/src/content/docs/hyperdrive/tutorials/serverless-timeseries-api-with-timescale/index.mdx
@@ -16,7 +16,7 @@ languages:
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
In this tutorial, you will learn to build an API on Workers which will ingest and query time-series data stored in [Timescale](https://www.timescale.com/) (they make PostgreSQL faster in the cloud).
@@ -38,7 +38,7 @@ You can learn more about Timescale by reading their [documentation](https://docs
Run the following command to create a Worker project from the command line:
-
+
@@ -54,7 +54,7 @@ $ cd timescale-api
:::note
-If you have not signed up for Timescale, go to the [signup page](https://timescale.com/signup) where you can start a free 30 day trial with no credit card.
+If you have not signed up for Timescale, go to the [signup page](https://timescale.com/signup) where you can start a free 30 day trial with no credit card.
:::
If you are creating a new service, go to the [Timescale Console](https://console.cloud.timescale.com/) and follow these steps:
@@ -78,7 +78,7 @@ If you are using a service you created previously, you can retrieve your service
If you do not have your password stored, you will need to select **Forgot your password?** and set a new **SCRAM** password. Save this password, as Timescale will only display it once.
-You should ensure that you do not break any existing clients if when you reset the password.
+You should ensure that you do not break any existing clients if when you reset the password.
:::
Insert your password into the **Service URL** as follows (leaving the portion after the @ untouched):
diff --git a/src/content/docs/kv/get-started.mdx b/src/content/docs/kv/get-started.mdx
index 624c98bececf09..ff580d35965a22 100644
--- a/src/content/docs/kv/get-started.mdx
+++ b/src/content/docs/kv/get-started.mdx
@@ -6,7 +6,7 @@ sidebar:
---
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
Workers KV provides low-latency, high-throughput global storage to your [Cloudflare Workers](/workers/) applications. Workers KV is ideal for storing user configuration data, routing data, A/B testing configurations and authentication tokens, and is well suited for read-heavy workloads.
@@ -39,7 +39,7 @@ Create a new Worker to read and write to your KV namespace.
Create a new project named `kv-tutorial` by running:
-
+
@@ -75,7 +75,7 @@ You can create a KV namespace via Wrangler or the dashboard.
:::note
-KV operations are scoped to your account.
+KV operations are scoped to your account.
:::
To create a KV namespace via Wrangler:
@@ -132,7 +132,7 @@ Refer to [Environment](/kv/reference/environments/) for more information.
:::note
-KV namespaces prior to version 7 cannot be edited via the Cloudflare dashboard. To edit KV namespaces, use the [KV API](/kv/api/).
+KV namespaces prior to version 7 cannot be edited via the Cloudflare dashboard. To edit KV namespaces, use the [KV API](/kv/api/).
:::
## 3. Interact with your KV namespace with Wrangler
@@ -187,7 +187,7 @@ $ npx wrangler kv key get --namespace-id= ""
:::caution
-Exactly one of `--binding` or `--namespace-id` is required.
+Exactly one of `--binding` or `--namespace-id` is required.
:::
Refer to the [`kv bulk` documentation](/kv/reference/kv-commands/#kv-bulk) to write a file of multiple key-value pairs to a given KV namespace.
diff --git a/src/content/docs/learning-paths/workers/get-started/first-worker.mdx b/src/content/docs/learning-paths/workers/get-started/first-worker.mdx
index 45f403fee581be..aa84d8a2fc6e66 100644
--- a/src/content/docs/learning-paths/workers/get-started/first-worker.mdx
+++ b/src/content/docs/learning-paths/workers/get-started/first-worker.mdx
@@ -6,7 +6,7 @@ sidebar:
---
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
## Build and deploy your first Worker
@@ -30,7 +30,7 @@ You must have a Cloudflare account to create a Worker. To get started with Cloud
To create your Worker project, run:
-
+
This will prompt you to install the [`create-cloudflare`](https://www.npmjs.com/package/create-cloudflare) package, and lead you through setup.
diff --git a/src/content/docs/load-balancing/additional-options/load-balancing-rules/reference.mdx b/src/content/docs/load-balancing/additional-options/load-balancing-rules/reference.mdx
index 8652e49b285621..7e966f8b242a5e 100644
--- a/src/content/docs/load-balancing/additional-options/load-balancing-rules/reference.mdx
+++ b/src/content/docs/load-balancing/additional-options/load-balancing-rules/reference.mdx
@@ -91,7 +91,7 @@ Many of these fields are referenced from the [Rules language documentation](/rul
Represents the values of arguments in the HTTP URI query string. The values are not pre-processed and retain the original case used in the request. They are in the same order as in the request.
@@ -242,7 +242,7 @@ Many of these fields are referenced from the [Rules language documentation](/rul
Represents the version of the HTTP protocol used. Use this field when you require different checks for different versions.
diff --git a/src/content/docs/magic-cloud-networking/index.mdx b/src/content/docs/magic-cloud-networking/index.mdx
index a8dc36bd44d799..901bfb500fba9c 100644
--- a/src/content/docs/magic-cloud-networking/index.mdx
+++ b/src/content/docs/magic-cloud-networking/index.mdx
@@ -1,5 +1,5 @@
---
-title: Overview
+title: Magic Cloud Networking
pcx_content_type: overview
sidebar:
order: 1
diff --git a/src/content/docs/magic-firewall/about/protocol-validation-rules.mdx b/src/content/docs/magic-firewall/about/protocol-validation-rules.mdx
index 2bbf1bd098e591..e45e4855dd6e29 100644
--- a/src/content/docs/magic-firewall/about/protocol-validation-rules.mdx
+++ b/src/content/docs/magic-firewall/about/protocol-validation-rules.mdx
@@ -6,6 +6,6 @@ pcx_content_type: concept
Magic Firewall supports [Session Initiation Protocol (SIP)](https://datatracker.ietf.org/doc/html/rfc2543) to inspect traffic validity and enforce a positive security model.
-You can use the `sip` field when creating a rule to determine if packets are valid SIP Layer 7 (L7) protocol. Refer to [Magic Firewall fields](/ruleset-engine/rules-language/fields/#magic-firewall-fields), specifically the `sip` field, for more information on this topic.
+You can use the `sip` field when creating a rule to determine if packets are valid SIP Layer 7 (L7) protocol. Refer to [Magic Firewall fields](/ruleset-engine/rules-language/fields/magic-firewall/), specifically the `sip` field, for more information on this topic.
Contact your account manager if you need Magic Firewall to support additional protocols.
diff --git a/src/content/docs/magic-firewall/about/traffic-types.mdx b/src/content/docs/magic-firewall/about/traffic-types.mdx
index 50d55f11146403..8bb443f03c922a 100644
--- a/src/content/docs/magic-firewall/about/traffic-types.mdx
+++ b/src/content/docs/magic-firewall/about/traffic-types.mdx
@@ -10,4 +10,4 @@ Magic Firewall enables you to allow or block traffic on a variety of packet char
Magic Firewall supports layers three and four — network and transport — protocols such as TCP, UDP, and ICMP. Any type of layer three or four protocols can go through Magic Firewall and then be matched on those protocols.
-To view the list of available fields, refer to [Magic Firewall fields](/ruleset-engine/rules-language/fields/#magic-firewall-fields).
+To view the list of available fields, refer to [Magic Firewall fields](/ruleset-engine/rules-language/fields/magic-firewall/).
diff --git a/src/content/docs/magic-firewall/reference/magic-firewall-fields.mdx b/src/content/docs/magic-firewall/reference/magic-firewall-fields.mdx
index e0ee7d8c204384..535624b9922b8e 100644
--- a/src/content/docs/magic-firewall/reference/magic-firewall-fields.mdx
+++ b/src/content/docs/magic-firewall/reference/magic-firewall-fields.mdx
@@ -1,6 +1,6 @@
---
pcx_content_type: navigation
title: Magic Firewall fields
-external_link: /ruleset-engine/rules-language/fields/#magic-firewall-fields
+external_link: /ruleset-engine/rules-language/fields/magic-firewall/
---
diff --git a/src/content/docs/pages/tutorials/localize-a-website/index.mdx b/src/content/docs/pages/tutorials/localize-a-website/index.mdx
index 15bfa96434d99f..d603d268668105 100644
--- a/src/content/docs/pages/tutorials/localize-a-website/index.mdx
+++ b/src/content/docs/pages/tutorials/localize-a-website/index.mdx
@@ -13,7 +13,7 @@ tags:
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
In this tutorial, you will build an example internationalization and localization engine (commonly referred to as **i18n** and **l10n**) for your application, serve the content of your site, and automatically translate the content based on your visitors’ location in the world.
@@ -35,7 +35,7 @@ If you would like to deploy your own version of the site, you can find the sourc
Create a new application using the [`create-cloudflare`](/pages/get-started/c3), a CLI for creating and deploying new applications to Cloudflare.
-
+
For setup, select the following options:
diff --git a/src/content/docs/queues/get-started.mdx b/src/content/docs/queues/get-started.mdx
index 297d31510ca37e..c715ef1342df80 100644
--- a/src/content/docs/queues/get-started.mdx
+++ b/src/content/docs/queues/get-started.mdx
@@ -9,7 +9,7 @@ head:
---
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
Cloudflare Queues is a flexible messaging queue that allows you to queue messages for asynchronous processing. By following this guide, you will create your first queue, a Worker to publish messages to that queue, and a consumer Worker to consume messages from that queue.
@@ -29,7 +29,7 @@ You will access your queue from a Worker, the producer Worker. You must create a
To create a producer Worker, run:
-
+
diff --git a/src/content/docs/queues/tutorials/web-crawler-with-browser-rendering/index.mdx b/src/content/docs/queues/tutorials/web-crawler-with-browser-rendering/index.mdx
index fb8dd9f650dc40..30c639fce435aa 100644
--- a/src/content/docs/queues/tutorials/web-crawler-with-browser-rendering/index.mdx
+++ b/src/content/docs/queues/tutorials/web-crawler-with-browser-rendering/index.mdx
@@ -22,7 +22,7 @@ description: Example of how to use Queues and Browser Rendering to power a web c
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
This tutorial explains how to build and deploy a web crawler with Queues, [Browser Rendering](/browser-rendering/), and [Puppeteer](/browser-rendering/platform/puppeteer/).
@@ -44,7 +44,7 @@ Additionally, you will need access to Queues.
To get started, create a Worker application using the [`create-cloudflare` CLI](https://github.com/cloudflare/workers-sdk/tree/main/packages/create-cloudflare). Open a terminal window and run the following command:
-
+
diff --git a/src/content/docs/r2/api/workers/workers-api-usage.mdx b/src/content/docs/r2/api/workers/workers-api-usage.mdx
index d6e8d79081dfc0..965114ddcc39d1 100644
--- a/src/content/docs/r2/api/workers/workers-api-usage.mdx
+++ b/src/content/docs/r2/api/workers/workers-api-usage.mdx
@@ -9,7 +9,7 @@ head:
---
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
## 1. Create a new application with C3
@@ -17,7 +17,7 @@ C3 (`create-cloudflare-cli`) is a command-line tool designed to help you set up
To get started, open a terminal window and run:
-
+
@@ -213,7 +213,7 @@ You can verify your authorization logic is working through the following command
:::caution
-When uploading files to R2 via `curl`, ensure you use **[`--data-binary`](https://everything.curl.dev/http/post/binary)** instead of `--data` or `-d`. Files will otherwise be truncated.
+When uploading files to R2 via `curl`, ensure you use **[`--data-binary`](https://everything.curl.dev/http/post/binary)** instead of `--data` or `-d`. Files will otherwise be truncated.
:::
```sh
diff --git a/src/content/docs/r2/examples/upload-logs-event-notifications.mdx b/src/content/docs/r2/examples/upload-logs-event-notifications.mdx
index 3a479574a6c1e7..d0bf17ad223343 100644
--- a/src/content/docs/r2/examples/upload-logs-event-notifications.mdx
+++ b/src/content/docs/r2/examples/upload-logs-event-notifications.mdx
@@ -14,7 +14,7 @@ languages:
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
This example provides a step-by-step guide on using [event notifications](/r2/buckets/event-notifications/) to capture and store R2 upload logs in a separate bucket.
@@ -64,7 +64,7 @@ Before you enable event notifications for `example-upload-bucket`, you need to c
Create a new Worker with C3 (`create-cloudflare` CLI). [C3](/pages/get-started/c3/) is a command-line tool designed to help you set up and deploy new applications, including Workers, to Cloudflare.
-
+
diff --git a/src/content/docs/radar/investigate/bgp-anomalies.mdx b/src/content/docs/radar/investigate/bgp-anomalies.mdx
index 8b5e37b6beee62..19d2df427df818 100644
--- a/src/content/docs/radar/investigate/bgp-anomalies.mdx
+++ b/src/content/docs/radar/investigate/bgp-anomalies.mdx
@@ -9,7 +9,7 @@ sidebar:
---
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
To access Cloudflare Radar BGP Anomaly Detection results, you will first need to create an API token that includes a `User:User Details` permission. All the following examples should work with a free-tier Cloudflare account.
@@ -182,7 +182,7 @@ We will start with setting up a Cloudflare Worker app.
First, create a new Workers app in a local directory:
-
+
diff --git a/src/content/docs/rules/compression-rules/index.mdx b/src/content/docs/rules/compression-rules/index.mdx
index d26eb2de67a0c5..a2e96415e01624 100644
--- a/src/content/docs/rules/compression-rules/index.mdx
+++ b/src/content/docs/rules/compression-rules/index.mdx
@@ -39,9 +39,9 @@ The following fields are commonly used in expressions of compression rules:
| Field in [Expression Builder](/ruleset-engine/rules-language/expressions/edit-expressions/#expression-builder) | Field name |
| -------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
-| *Media Type* | [`http.response.content_type.media_type`](/ruleset-engine/rules-language/fields/#field-http-response-content_type-media_type) |
-| *File extension* | [`http.request.uri.path.extension`](/ruleset-engine/rules-language/fields/#field-http-request-uri-path-extension) |
-| N/A | [`raw.http.request.uri.path.extension`](/ruleset-engine/rules-language/fields/#field-raw-http-request-uri-path-extension) |
+| *Media Type* | [`http.response.content_type.media_type`](/ruleset-engine/rules-language/fields/http-request-response/#httpresponsecontent_typemedia_type) |
+| *File extension* | [`http.request.uri.path.extension`](/ruleset-engine/rules-language/fields/standard-fields/#httprequesturipathextension) |
+| N/A | [`raw.http.request.uri.path.extension`](/ruleset-engine/rules-language/fields/standard-fields/#rawhttprequesturipathextension) |
diff --git a/src/content/docs/rules/custom-error-responses/create-api.mdx b/src/content/docs/rules/custom-error-responses/create-api.mdx
index ab764d03b2745c..a6fa549a819c75 100644
--- a/src/content/docs/rules/custom-error-responses/create-api.mdx
+++ b/src/content/docs/rules/custom-error-responses/create-api.mdx
@@ -34,9 +34,9 @@ Follow this workflow to create a custom error response rule for a given zone via
The examples in this section use the following fields in their rule expressions:
-* [`http.response.code`](/ruleset-engine/rules-language/fields/#field-http-response-code): Represents the HTTP status code returned to the client, either set by a Cloudflare product or returned by the origin server. Use this field to customize the error response for error codes returned by the origin server or by a Cloudflare product such as a Worker.
+* [`http.response.code`](/ruleset-engine/rules-language/fields/http-request-response/#httpresponsecode): Represents the HTTP status code returned to the client, either set by a Cloudflare product or returned by the origin server. Use this field to customize the error response for error codes returned by the origin server or by a Cloudflare product such as a Worker.
-* [`cf.response.1xxx_code`](/ruleset-engine/rules-language/fields/#field-cf-response-1xxx_code): Contains the specific error code for Cloudflare-generated errors. This field will only work for Cloudflare-generated errors such as [52x](/support/troubleshooting/cloudflare-errors/troubleshooting-cloudflare-5xx-errors/) and [1xxx](/support/troubleshooting/cloudflare-errors/troubleshooting-cloudflare-1xxx-errors/).
+* [`cf.response.1xxx_code`](/ruleset-engine/rules-language/fields/#cf-response-1xxx_code): Contains the specific error code for Cloudflare-generated errors. This field will only work for Cloudflare-generated errors such as [52x](/support/troubleshooting/cloudflare-errors/troubleshooting-cloudflare-5xx-errors/) and [1xxx](/support/troubleshooting/cloudflare-errors/troubleshooting-cloudflare-1xxx-errors/).
### Custom JSON response for all 5xx errors
diff --git a/src/content/docs/rules/reference/troubleshooting.mdx b/src/content/docs/rules/reference/troubleshooting.mdx
index 40c4c7e9b3ee63..2f1c109dc2d9f9 100644
--- a/src/content/docs/rules/reference/troubleshooting.mdx
+++ b/src/content/docs/rules/reference/troubleshooting.mdx
@@ -16,7 +16,7 @@ import { Example } from "~/components"
If you are issuing a [challenge](/waf/reference/cloudflare-challenges/) for a given URI path that has one or more Rules features enabled, you should exclude URI paths starting with `/cdn-cgi/challenge-platform/` in your rule expressions to avoid challenge loops.
-For example, define a compound expression for your rule using the `and` operator and the [`starts_with()`](/ruleset-engine/rules-language/functions/#function-starts_with) function:
+For example, define a compound expression for your rule using the `and` operator and the [`starts_with()`](/ruleset-engine/rules-language/functions/#starts_with) function:
```txt
and not starts_with(http.request.uri, "/cdn-cgi/challenge-platform/")
diff --git a/src/content/docs/rules/transform/examples/rewrite-moved-section.mdx b/src/content/docs/rules/transform/examples/rewrite-moved-section.mdx
index a2a13ca8287298..75692902b141c6 100644
--- a/src/content/docs/rules/transform/examples/rewrite-moved-section.mdx
+++ b/src/content/docs/rules/transform/examples/rewrite-moved-section.mdx
@@ -14,7 +14,7 @@ description: Create a rewrite URL rule (part of Transform Rules) to rewrite
import { Example } from "~/components"
-To rewrite everything under `/blog/` to `/marketing/` you must modify the first component of the path (`/blog/`). Create a rewrite URL rule and use the [`regex_replace()`](/ruleset-engine/rules-language/functions/#function-regex_replace) function for this purpose:
+To rewrite everything under `/blog/` to `/marketing/` you must modify the first component of the path (`/blog/`). Create a rewrite URL rule and use the [`regex_replace()`](/ruleset-engine/rules-language/functions/#regex_replace) function for this purpose:
diff --git a/src/content/docs/rules/transform/examples/rewrite-path-archived-posts.mdx b/src/content/docs/rules/transform/examples/rewrite-path-archived-posts.mdx
index 962fe3bf06060d..9f7287c5992b00 100644
--- a/src/content/docs/rules/transform/examples/rewrite-path-archived-posts.mdx
+++ b/src/content/docs/rules/transform/examples/rewrite-path-archived-posts.mdx
@@ -32,4 +32,4 @@ concat("/archive", http.request.uri.path)
-The filter uses the [`starts_with()`](/ruleset-engine/rules-language/functions/#function-starts_with) function all paths starting with `/news/2012/`. The dynamic path rewrite uses the [`concat()`](/ruleset-engine/rules-language/functions/#function-concat) function to concatenate a prefix to the original URL path of the HTTP request.
+The filter uses the [`starts_with()`](/ruleset-engine/rules-language/functions/#starts_with) function all paths starting with `/news/2012/`. The dynamic path rewrite uses the [`concat()`](/ruleset-engine/rules-language/functions/#concat) function to concatenate a prefix to the original URL path of the HTTP request.
diff --git a/src/content/docs/rules/transform/managed-transforms/reference.mdx b/src/content/docs/rules/transform/managed-transforms/reference.mdx
index 95fd38e64229ef..044240caea3400 100644
--- a/src/content/docs/rules/transform/managed-transforms/reference.mdx
+++ b/src/content/docs/rules/transform/managed-transforms/reference.mdx
@@ -38,38 +38,38 @@ Adds HTTP headers with bot-related values to the request sent to the origin serv
Adds HTTP headers with [Mutual TLS](/api-shield/security/mtls/) (mTLS) client authentication values to the request sent to the origin server:
-* `cf-cert-revoked`: Value from the [`cf.tls_client_auth.cert_revoked`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_revoked) field.
-* `cf-cert-verified`: Value from the [`cf.tls_client_auth.cert_verified`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_verified) field.
-* `cf-cert-presented`: Value from the [`cf.tls_client_auth.cert_presented`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_presented) field.
-* `cf-cert-issuer-dn`: Value from the [`cf.tls_client_auth.cert_issuer_dn`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_issuer_dn) field.
-* `cf-cert-subject-dn`: Value from the [`cf.tls_client_auth.cert_subject_dn`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_subject_dn) field.
-* `cf-cert-issuer-dn-rfc2253`: Value from the [`cf.tls_client_auth.cert_issuer_dn_rfc2253`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_issuer_dn_rfc2253) field.
-* `cf-cert-subject-dn-rfc2253`: Value from the [`cf.tls_client_auth.cert_subject_dn_rfc2253`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_subject_dn_rfc2253) field.
-* `cf-cert-issuer-dn-legacy`: Value from the [`cf.tls_client_auth.cert_issuer_dn_legacy`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_issuer_dn_legacy) field.
-* `cf-cert-subject-dn-legacy`: Value from the [`cf.tls_client_auth.cert_subject_dn_legacy`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_subject_dn_legacy) field.
-* `cf-cert-serial`: Value from the [`cf.tls_client_auth.cert_serial`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_serial) field.
-* `cf-cert-issuer-serial`: Value from the [`cf.tls_client_auth.cert_issuer_serial`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_issuer_serial) field.
-* `cf-cert-fingerprint-sha256`: Value from the [`cf.tls_client_auth.cert_fingerprint_sha256`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_fingerprint_sha256) field.
-* `cf-cert-fingerprint-sha1`: Value from the [`cf.tls_client_auth.cert_fingerprint_sha1`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_fingerprint_sha1) field.
-* `cf-cert-not-before`: Value from the [`cf.tls_client_auth.cert_not_before`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_not_before) field.
-* `cf-cert-not-after`: Value from the [`cf.tls_client_auth.cert_not_after`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_not_after) field.
-* `cf-cert-ski`: Value from the [`cf.tls_client_auth.cert_ski`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_ski) field.
-* `cf-cert-issuer-ski`: Value from the [`cf.tls_client_auth.cert_issuer_ski`](/ruleset-engine/rules-language/fields/#field-cf-tls_client_auth-cert_issuer_ski) field.
+* `cf-cert-revoked`: Value from the [`cf.tls_client_auth.cert_revoked`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_revoked) field.
+* `cf-cert-verified`: Value from the [`cf.tls_client_auth.cert_verified`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_verified) field.
+* `cf-cert-presented`: Value from the [`cf.tls_client_auth.cert_presented`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_presented) field.
+* `cf-cert-issuer-dn`: Value from the [`cf.tls_client_auth.cert_issuer_dn`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_issuer_dn) field.
+* `cf-cert-subject-dn`: Value from the [`cf.tls_client_auth.cert_subject_dn`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_subject_dn) field.
+* `cf-cert-issuer-dn-rfc2253`: Value from the [`cf.tls_client_auth.cert_issuer_dn_rfc2253`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_issuer_dn_rfc2253) field.
+* `cf-cert-subject-dn-rfc2253`: Value from the [`cf.tls_client_auth.cert_subject_dn_rfc2253`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_subject_dn_rfc2253) field.
+* `cf-cert-issuer-dn-legacy`: Value from the [`cf.tls_client_auth.cert_issuer_dn_legacy`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_issuer_dn_legacy) field.
+* `cf-cert-subject-dn-legacy`: Value from the [`cf.tls_client_auth.cert_subject_dn_legacy`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_subject_dn_legacy) field.
+* `cf-cert-serial`: Value from the [`cf.tls_client_auth.cert_serial`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_serial) field.
+* `cf-cert-issuer-serial`: Value from the [`cf.tls_client_auth.cert_issuer_serial`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_issuer_serial) field.
+* `cf-cert-fingerprint-sha256`: Value from the [`cf.tls_client_auth.cert_fingerprint_sha256`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_fingerprint_sha256) field.
+* `cf-cert-fingerprint-sha1`: Value from the [`cf.tls_client_auth.cert_fingerprint_sha1`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_fingerprint_sha1) field.
+* `cf-cert-not-before`: Value from the [`cf.tls_client_auth.cert_not_before`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_not_before) field.
+* `cf-cert-not-after`: Value from the [`cf.tls_client_auth.cert_not_after`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_not_after) field.
+* `cf-cert-ski`: Value from the [`cf.tls_client_auth.cert_ski`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_ski) field.
+* `cf-cert-issuer-ski`: Value from the [`cf.tls_client_auth.cert_issuer_ski`](/ruleset-engine/rules-language/fields/#cf-tls_client_auth-cert_issuer_ski) field.
### Add visitor location headers
Adds HTTP headers with location information for the visitor's IP address to the request sent to the origin server:
-* `cf-ipcity`: The visitor's city (value from the [`ip.src.city`](/ruleset-engine/rules-language/fields/#field-ip-src-city) field).
-* `cf-ipcountry`: The visitor's country (value from the [`ip.src.country`](/ruleset-engine/rules-language/fields/#field-ip-src-country) field).
-* `cf-ipcontinent`: The visitor's continent (value from the [`ip.src.continent`](/ruleset-engine/rules-language/fields/#field-ip-src-continent) field).
-* `cf-iplongitude`: The visitor's longitude (value from the [`ip.src.lon`](/ruleset-engine/rules-language/fields/#field-ip-src-lon) field).
-* `cf-iplatitude`: The visitor's latitude (value from the [`ip.src.lat`](/ruleset-engine/rules-language/fields/#field-ip-src-lat) field).
-* `cf-region`: The visitor's region (value from the [`ip.src.region`](/ruleset-engine/rules-language/fields/#field-ip-src-region) field).
-* `cf-region-code`: The visitor's region code (value from the [`ip.src.region_code`](/ruleset-engine/rules-language/fields/#field-ip-src-region_code) field).
-* `cf-metro-code`: The visitor's metro code (value from the [`ip.src.metro_code`](/ruleset-engine/rules-language/fields/#field-ip-src-metro_code) field).
-* `cf-postal-code`: The visitor's postal code (value from the [`ip.src.postal_code`](/ruleset-engine/rules-language/fields/#field-ip-src-postal_code) field).
-* `cf-timezone`: The name of the visitor's timezone (value from the [`ip.src.timezone.name`](/ruleset-engine/rules-language/fields/#field-ip-src-timezone-name) field).
+* `cf-ipcity`: The visitor's city (value from the [`ip.src.city`](/ruleset-engine/rules-language/fields/#ip-src-city) field).
+* `cf-ipcountry`: The visitor's country (value from the [`ip.src.country`](/ruleset-engine/rules-language/fields/#ip-src-country) field).
+* `cf-ipcontinent`: The visitor's continent (value from the [`ip.src.continent`](/ruleset-engine/rules-language/fields/#ip-src-continent) field).
+* `cf-iplongitude`: The visitor's longitude (value from the [`ip.src.lon`](/ruleset-engine/rules-language/fields/#ip-src-lon) field).
+* `cf-iplatitude`: The visitor's latitude (value from the [`ip.src.lat`](/ruleset-engine/rules-language/fields/#ip-src-lat) field).
+* `cf-region`: The visitor's region (value from the [`ip.src.region`](/ruleset-engine/rules-language/fields/#ip-src-region) field).
+* `cf-region-code`: The visitor's region code (value from the [`ip.src.region_code`](/ruleset-engine/rules-language/fields/#ip-src-region_code) field).
+* `cf-metro-code`: The visitor's metro code (value from the [`ip.src.metro_code`](/ruleset-engine/rules-language/fields/#ip-src-metro_code) field).
+* `cf-postal-code`: The visitor's postal code (value from the [`ip.src.postal_code`](/ruleset-engine/rules-language/fields/#ip-src-postal_code) field).
+* `cf-timezone`: The name of the visitor's timezone (value from the [`ip.src.timezone.name`](/ruleset-engine/rules-language/fields/#ip-src-timezone-name) field).
:::caution[Warning]
diff --git a/src/content/docs/rules/transform/url-rewrite/reference/fields-functions.mdx b/src/content/docs/rules/transform/url-rewrite/reference/fields-functions.mdx
index 1d5e057b254061..aebd26b8fe5019 100644
--- a/src/content/docs/rules/transform/url-rewrite/reference/fields-functions.mdx
+++ b/src/content/docs/rules/transform/url-rewrite/reference/fields-functions.mdx
@@ -29,4 +29,4 @@ A rewrite expression (that is, the expression that defines the dynamic URL rewri
Refer to [Fields](/ruleset-engine/rules-language/fields/) for reference information on these fields.
-The [`concat()`](/ruleset-engine/rules-language/functions/#function-concat) and [`regex_replace()`](/ruleset-engine/rules-language/functions/#function-regex_replace) functions can appear only **once** in a rewrite expression.
+The [`concat()`](/ruleset-engine/rules-language/functions/#concat) and [`regex_replace()`](/ruleset-engine/rules-language/functions/#regex_replace) functions can appear only **once** in a rewrite expression.
diff --git a/src/content/docs/rules/url-forwarding/examples/remove-locale-url.mdx b/src/content/docs/rules/url-forwarding/examples/remove-locale-url.mdx
index 7c75d288712d75..99a6300270ccfb 100644
--- a/src/content/docs/rules/url-forwarding/examples/remove-locale-url.mdx
+++ b/src/content/docs/rules/url-forwarding/examples/remove-locale-url.mdx
@@ -34,7 +34,7 @@ If you are using the Expression Editor, enter the following expression:
-The function [`regex_replace()`](/ruleset-engine/rules-language/functions/#function-regex_replace) allows you to extract parts of the URL using regular expressions' capture groups. Create capture groups by putting part of the regular expression in parentheses. Then, reference a capture group using `${}` in the replacement string, where `` is the number of the capture group.
+The function [`regex_replace()`](/ruleset-engine/rules-language/functions/#regex_replace) allows you to extract parts of the URL using regular expressions' capture groups. Create capture groups by putting part of the regular expression in parentheses. Then, reference a capture group using `${}` in the replacement string, where `` is the number of the capture group.
For example, the redirect rule would perform the following redirects:
diff --git a/src/content/docs/ruleset-engine/rules-language/expressions/edit-expressions.mdx b/src/content/docs/ruleset-engine/rules-language/expressions/edit-expressions.mdx
index fa10e4cff311f7..b466d43a9b7a1f 100644
--- a/src/content/docs/ruleset-engine/rules-language/expressions/edit-expressions.mdx
+++ b/src/content/docs/ruleset-engine/rules-language/expressions/edit-expressions.mdx
@@ -71,7 +71,7 @@ Only the Expression Editor supports nested expressions such as the one above. If
:::note[Note]
-String comparison in rule expressions is case sensitive. To account for possible variations of string capitalization in an expression, you can use the [`lower()`](/ruleset-engine/rules-language/functions/#function-lower) function and compare the result with a lowercased string, like in the following example:
+String comparison in rule expressions is case sensitive. To account for possible variations of string capitalization in an expression, you can use the [`lower()`](/ruleset-engine/rules-language/functions/#lower) function and compare the result with a lowercased string, like in the following example:
```txt
lower(http.request.uri.path) contains "/wp-login.php"
diff --git a/src/content/docs/ruleset-engine/rules-language/fields/dynamic-fields.mdx b/src/content/docs/ruleset-engine/rules-language/fields/dynamic-fields.mdx
index 7f50dff37bf8e3..98f782f704299e 100644
--- a/src/content/docs/ruleset-engine/rules-language/fields/dynamic-fields.mdx
+++ b/src/content/docs/ruleset-engine/rules-language/fields/dynamic-fields.mdx
@@ -106,7 +106,7 @@ Returns the string representation of the per-hostname [custom metadata](/cloudfl
`cf.random_seed` `Bytes`
-Returns per-request random bytes that you can use in the [`uuidv4()`](https://example.com/ruleset-engine/rules-language/functions/#function-uuidv4) function.
+Returns per-request random bytes that you can use in the [`uuidv4()`](https://example.com/ruleset-engine/rules-language/functions/#uuidv4) function.
## `cf.ray_id`
diff --git a/src/content/docs/ruleset-engine/rules-language/functions.mdx b/src/content/docs/ruleset-engine/rules-language/functions.mdx
index 92910186126679..9a59e95bad9300 100644
--- a/src/content/docs/ruleset-engine/rules-language/functions.mdx
+++ b/src/content/docs/ruleset-engine/rules-language/functions.mdx
@@ -338,7 +338,7 @@ any(url_decode(http.request.body.form.values[*])[*] contains "an xss attack")
`uuidv4(Bytes)` `String`
-Generates a random UUIDv4 (Universally Unique Identifier, version 4) based on the given argument (a source of randomness). To obtain an array of random bytes, use the [`cf.random_seed`](/ruleset-engine/rules-language/fields/#field-cf-random_seed) field.
+Generates a random UUIDv4 (Universally Unique Identifier, version 4) based on the given argument (a source of randomness). To obtain an array of random bytes, use the [`cf.random_seed`](/ruleset-engine/rules-language/fields/#cf-random_seed) field.
For example, `uuidv4(cf.random_seed)` will return a UUIDv4 similar to `49887398-6bcf-485f-8899-f15dbef4d1d5`.
diff --git a/src/content/docs/ruleset-engine/rules-language/operators.mdx b/src/content/docs/ruleset-engine/rules-language/operators.mdx
index ef93be2af65baa..167b852ed469f2 100644
--- a/src/content/docs/ruleset-engine/rules-language/operators.mdx
+++ b/src/content/docs/ruleset-engine/rules-language/operators.mdx
@@ -44,8 +44,8 @@ Comparison operators entered using English notation (such as `eq`, `lt`, and `gt
The Cloudflare dashboard shows the following functions as operators:
-* *starts with* (corresponding to the [`starts_with()`](/ruleset-engine/rules-language/functions/#function-starts_with) function): Returns `true` when a string starts with a given substring, and `false` otherwise.
-* *ends with* (corresponding to the [`ends_with()`](/ruleset-engine/rules-language/functions/#function-ends_with) function): Returns `true` when a string ends with a given substring, and `false` otherwise.
+* *starts with* (corresponding to the [`starts_with()`](/ruleset-engine/rules-language/functions/#starts_with) function): Returns `true` when a string starts with a given substring, and `false` otherwise.
+* *ends with* (corresponding to the [`ends_with()`](/ruleset-engine/rules-language/functions/#ends_with) function): Returns `true` when a string ends with a given substring, and `false` otherwise.
However, when writing your own custom expressions, you must use these functions in function calls, not as operators. For example:
@@ -59,7 +59,7 @@ http.request.uri.path ends_with ".html"
### Comparing string values
-String comparison in rule expressions is case sensitive. To account for possible variations of string capitalization in an expression, you can use the [`lower()`](/ruleset-engine/rules-language/functions/#function-lower) function and compare the result with a lowercased string, like in the following example:
+String comparison in rule expressions is case sensitive. To account for possible variations of string capitalization in an expression, you can use the [`lower()`](/ruleset-engine/rules-language/functions/#lower) function and compare the result with a lowercased string, like in the following example:
```txt
lower(http.request.uri.path) contains "/wp-login.php"
diff --git a/src/content/docs/ruleset-engine/rules-language/values.mdx b/src/content/docs/ruleset-engine/rules-language/values.mdx
index fd86f0f281bd40..e5f97c3dc06dac 100644
--- a/src/content/docs/ruleset-engine/rules-language/values.mdx
+++ b/src/content/docs/ruleset-engine/rules-language/values.mdx
@@ -52,7 +52,7 @@ regex_replace(http.host, "a", "\\")
:::caution[Warning]
-In some situations you will need to double-escape a string — for example, when using the [`regex_replace()`](/ruleset-engine/rules-language/functions/#function-regex_replace) function with a regular expression matching a backslash (`\`).
+In some situations you will need to double-escape a string — for example, when using the [`regex_replace()`](/ruleset-engine/rules-language/functions/#regex_replace) function with a regular expression matching a backslash (`\`).
In this case, you must do the basic escaping required by strings as function parameters (using `\\` for each `\` character) and also the regex escaping (using `\\` for each `\` character), since the backslash has a special meaning in regular expressions.
@@ -169,7 +169,7 @@ For maps where the values have an `Array` type, you cannot directly use [operato
### Examples
-The following example is based on the [`http.request.headers`](/ruleset-engine/rules-language/fields/#field-http-request-headers) field with a data type of `Map>`, where array elements are of `String` data type.
+The following example is based on the [`http.request.headers`](/ruleset-engine/rules-language/fields/http-request-header/) field with a data type of `Map>`, where array elements are of `String` data type.
If an incoming HTTP request included a single `Accept: application/json` HTTP header, the following expressions would evaluate to the indicated values:
@@ -181,7 +181,7 @@ any(http.request.headers["accept"][*] == "application/json") # ==> true
any(http.request.headers["accept"][*] == "text/plain") # ==> false
```
-The following example is based on the [`http.request.uri.args`](/ruleset-engine/rules-language/fields/#field-http-request-uri-args) field with a data type of `Map>`, where array elements are of `String` data type.
+The following example is based on the [`http.request.uri.args`](/ruleset-engine/rules-language/fields/uri/#httprequesturiargs) field with a data type of `Map>`, where array elements are of `String` data type.
If an HTTP request included three `filter` URI arguments `waf`, `botm`, and `cdn`, the following expressions would evaluate to the indicated values:
diff --git a/src/content/docs/vectorize/get-started/embeddings.mdx b/src/content/docs/vectorize/get-started/embeddings.mdx
index 97122d88e78ecd..b4b6801fa9e700 100644
--- a/src/content/docs/vectorize/get-started/embeddings.mdx
+++ b/src/content/docs/vectorize/get-started/embeddings.mdx
@@ -6,7 +6,7 @@ sidebar:
---
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
@@ -41,7 +41,7 @@ You will create a new project that will contain a Worker script, which will act
Open your terminal and create a new project named `embeddings-tutorial` by running the following command:
-
+
diff --git a/src/content/docs/vectorize/get-started/intro.mdx b/src/content/docs/vectorize/get-started/intro.mdx
index 8cd80be82693cf..1024d59ff2ff20 100644
--- a/src/content/docs/vectorize/get-started/intro.mdx
+++ b/src/content/docs/vectorize/get-started/intro.mdx
@@ -6,7 +6,7 @@ sidebar:
---
-import { Render } from "~/components"
+import { Render, PackageManagers } from "~/components"
@@ -40,7 +40,7 @@ You will create a new project that will contain a Worker, which will act as the
Create a new project named `vectorize-tutorial` by running:
-
+
diff --git a/src/content/docs/waf/about/content-scanning/index.mdx b/src/content/docs/waf/about/content-scanning/index.mdx
index 10ae071c717bda..2a057f33a2dae5 100644
--- a/src/content/docs/waf/about/content-scanning/index.mdx
+++ b/src/content/docs/waf/about/content-scanning/index.mdx
@@ -79,14 +79,14 @@ When content scanning is enabled, you can use the following fields in WAF rules:
| Field name in the dashboard | Field name in expressions |
| ------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------- |
-| Has content object | [`cf.waf.content_scan.has_obj`](/ruleset-engine/rules-language/fields/#field-cf-waf-content_scan-has_obj) |
-| Has malicious content object | [`cf.waf.content_scan.has_malicious_obj`](/ruleset-engine/rules-language/fields/#field-cf-waf-content_scan-has_malicious_obj) |
-| Number of malicious content objects | [`cf.waf.content_scan.num_malicious_obj`](/ruleset-engine/rules-language/fields/#field-cf-waf-content_scan-num_malicious_obj) |
-| Content scan has failed | [`cf.waf.content_scan.has_failed`](/ruleset-engine/rules-language/fields/#field-cf-waf-content_scan-has_failed) |
-| Number of content objects | [`cf.waf.content_scan.num_obj`](/ruleset-engine/rules-language/fields/#field-cf-waf-content_scan-num_obj) |
-| Content object size (in bytes) | [`cf.waf.content_scan.obj_sizes`](/ruleset-engine/rules-language/fields/#field-cf-waf-content_scan-obj_sizes) |
-| Content object type | [`cf.waf.content_scan.obj_types`](/ruleset-engine/rules-language/fields/#field-cf-waf-content_scan-obj_types) |
-| Content object result Values: `clean`, `suspicious`, `infected`, and `not scanned` | [`cf.waf.content_scan.obj_results`](/ruleset-engine/rules-language/fields/#field-cf-waf-content_scan-obj_results) |
+| Has content object | [`cf.waf.content_scan.has_obj`](/ruleset-engine/rules-language/fields/#cf-waf-content_scan-has_obj) |
+| Has malicious content object | [`cf.waf.content_scan.has_malicious_obj`](/ruleset-engine/rules-language/fields/#cf-waf-content_scan-has_malicious_obj) |
+| Number of malicious content objects | [`cf.waf.content_scan.num_malicious_obj`](/ruleset-engine/rules-language/fields/#cf-waf-content_scan-num_malicious_obj) |
+| Content scan has failed | [`cf.waf.content_scan.has_failed`](/ruleset-engine/rules-language/fields/#cf-waf-content_scan-has_failed) |
+| Number of content objects | [`cf.waf.content_scan.num_obj`](/ruleset-engine/rules-language/fields/#cf-waf-content_scan-num_obj) |
+| Content object size (in bytes) | [`cf.waf.content_scan.obj_sizes`](/ruleset-engine/rules-language/fields/#cf-waf-content_scan-obj_sizes) |
+| Content object type | [`cf.waf.content_scan.obj_types`](/ruleset-engine/rules-language/fields/#cf-waf-content_scan-obj_types) |
+| Content object result Values: `clean`, `suspicious`, `infected`, and `not scanned` | [`cf.waf.content_scan.obj_results`](/ruleset-engine/rules-language/fields/#cf-waf-content_scan-obj_results) |
diff --git a/src/content/docs/waf/about/waf-attack-score.mdx b/src/content/docs/waf/about/waf-attack-score.mdx
index acdfd4fcde1f77..ae732dccaab836 100644
--- a/src/content/docs/waf/about/waf-attack-score.mdx
+++ b/src/content/docs/waf/about/waf-attack-score.mdx
@@ -29,11 +29,11 @@ The Cloudflare WAF provides the following attack scores:
| Score | Minimum plan required | Attack vector | Field |
| ---------------------- | --------------------- | --------------------------- | --------------------------------------------------------------------------------------- |
-| WAF Attack Score | Enterprise | N/A (global score) | [`cf.waf.score`](/ruleset-engine/rules-language/fields/#field-cf-waf-score) |
-| WAF SQLi Attack Score | Enterprise | SQL injection (SQLi) | [`cf.waf.score.sqli`](/ruleset-engine/rules-language/fields/#field-cf-waf-score-sqli) |
-| WAF XSS Attack Score | Enterprise | Cross-site scripting (XSS) | [`cf.waf.score.xss`](/ruleset-engine/rules-language/fields/#field-cf-waf-score-xss) |
-| WAF RCE Attack Score | Enterprise | Remote Code Execution (RCE) | [`cf.waf.score.rce`](/ruleset-engine/rules-language/fields/#field-cf-waf-score-rce) |
-| WAF Attack Score Class | Business | N/A (global classification) | [`cf.waf.score.class`](/ruleset-engine/rules-language/fields/#field-cf-waf-score-class) |
+| WAF Attack Score | Enterprise | N/A (global score) | [`cf.waf.score`](/ruleset-engine/rules-language/fields/#cf-waf-score) |
+| WAF SQLi Attack Score | Enterprise | SQL injection (SQLi) | [`cf.waf.score.sqli`](/ruleset-engine/rules-language/fields/#cf-waf-score-sqli) |
+| WAF XSS Attack Score | Enterprise | Cross-site scripting (XSS) | [`cf.waf.score.xss`](/ruleset-engine/rules-language/fields/#cf-waf-score-xss) |
+| WAF RCE Attack Score | Enterprise | Remote Code Execution (RCE) | [`cf.waf.score.rce`](/ruleset-engine/rules-language/fields/#cf-waf-score-rce) |
+| WAF Attack Score Class | Business | N/A (global classification) | [`cf.waf.score.class`](/ruleset-engine/rules-language/fields/#cf-waf-score-class) |
diff --git a/src/content/docs/waf/custom-rules/use-cases/allow-traffic-from-specific-countries.mdx b/src/content/docs/waf/custom-rules/use-cases/allow-traffic-from-specific-countries.mdx
index 9ccf6a400b14a5..7720f183d695e3 100644
--- a/src/content/docs/waf/custom-rules/use-cases/allow-traffic-from-specific-countries.mdx
+++ b/src/content/docs/waf/custom-rules/use-cases/allow-traffic-from-specific-countries.mdx
@@ -4,7 +4,7 @@ title: Allow traffic from specific countries only
---
-This example blocks requests based on country code using the [`ip.geoip.country`](/ruleset-engine/rules-language/fields/#field-ip-src-country) field, only allowing requests from two countries: United States and Mexico.
+This example blocks requests based on country code using the [`ip.geoip.country`](/ruleset-engine/rules-language/fields/#ip-src-country) field, only allowing requests from two countries: United States and Mexico.
- **Expression**: `(not ip.geoip.country in {"US" "MX"})`
- **Action**: *Block*
diff --git a/src/content/docs/waf/custom-rules/use-cases/allow-traffic-from-verified-bots.mdx b/src/content/docs/waf/custom-rules/use-cases/allow-traffic-from-verified-bots.mdx
index 0949e28cd4e4f6..7b4456a919ace0 100644
--- a/src/content/docs/waf/custom-rules/use-cases/allow-traffic-from-verified-bots.mdx
+++ b/src/content/docs/waf/custom-rules/use-cases/allow-traffic-from-verified-bots.mdx
@@ -9,7 +9,7 @@ head:
This example challenges requests from a list of countries, but allows traffic from search engine bots — such as Googlebot and Bingbot — and from other [verified bots](/bots/concepts/bot/#verified-bots).
-The rule expression uses the [`cf.client.bot`](/ruleset-engine/rules-language/fields/#field-cf-client-bot) field to determine if the request originated from a known good bot or crawler.
+The rule expression uses the [`cf.client.bot`](/ruleset-engine/rules-language/fields/#cf-client-bot) field to determine if the request originated from a known good bot or crawler.
- **Expression**: `(ip.geoip.country in {"US" "MX"} and not cf.client.bot)`
- **Action**: Managed Challenge
diff --git a/src/content/docs/waf/custom-rules/use-cases/block-traffic-from-specific-countries.mdx b/src/content/docs/waf/custom-rules/use-cases/block-traffic-from-specific-countries.mdx
index 519e8bf9b77190..c8260af385014e 100644
--- a/src/content/docs/waf/custom-rules/use-cases/block-traffic-from-specific-countries.mdx
+++ b/src/content/docs/waf/custom-rules/use-cases/block-traffic-from-specific-countries.mdx
@@ -4,7 +4,7 @@ title: Block traffic from specific countries
---
-This example blocks requests based on country code using the [`ip.geoip.country`](/ruleset-engine/rules-language/fields/#field-ip-src-country) field.
+This example blocks requests based on country code using the [`ip.geoip.country`](/ruleset-engine/rules-language/fields/#ip-src-country) field.
- **Expression**: `(ip.geoip.country in {"KN" "SY"})`
- **Action**: *Block*
diff --git a/src/content/docs/waf/custom-rules/use-cases/challenge-bad-bots.mdx b/src/content/docs/waf/custom-rules/use-cases/challenge-bad-bots.mdx
index 49dbea67e61b22..952707fe75a81a 100644
--- a/src/content/docs/waf/custom-rules/use-cases/challenge-bad-bots.mdx
+++ b/src/content/docs/waf/custom-rules/use-cases/challenge-bad-bots.mdx
@@ -18,9 +18,9 @@ Bot score ranges from 1 through 99. A low score indicates the request comes from
These examples use:
-* [`cf.bot_management.score`](/ruleset-engine/rules-language/fields/#field-cf-bot_management-score) to target requests from bots
-* [`cf.bot_management.verified_bot`](/ruleset-engine/rules-language/fields/#field-cf-bot_management-verified_bot) to identify requests from [known good bots](https://radar.cloudflare.com/verified-bots)
-* [`cf.bot_management.ja3_hash`](/ruleset-engine/rules-language/fields/#field-cf-bot_management-ja3_hash) to target specific [JA3 Fingerprints](/bots/concepts/ja3-ja4-fingerprint/)
+* [`cf.bot_management.score`](/ruleset-engine/rules-language/fields/#cf-bot_management-score) to target requests from bots
+* [`cf.bot_management.verified_bot`](/ruleset-engine/rules-language/fields/#cf-bot_management-verified_bot) to identify requests from [known good bots](https://radar.cloudflare.com/verified-bots)
+* [`cf.bot_management.ja3_hash`](/ruleset-engine/rules-language/fields/#cf-bot_management-ja3_hash) to target specific [JA3 Fingerprints](/bots/concepts/ja3-ja4-fingerprint/)
## Suggested rules
diff --git a/src/content/docs/waf/custom-rules/use-cases/exempt-partners-hotlink-protection.mdx b/src/content/docs/waf/custom-rules/use-cases/exempt-partners-hotlink-protection.mdx
index d16925bbdaf122..f3534105e43e55 100644
--- a/src/content/docs/waf/custom-rules/use-cases/exempt-partners-hotlink-protection.mdx
+++ b/src/content/docs/waf/custom-rules/use-cases/exempt-partners-hotlink-protection.mdx
@@ -10,7 +10,7 @@ When enabled, [Cloudflare Hotlink Protection](/waf/tools/scrape-shield/hotlink-p
You can use custom rules to protect against hotlinking while allowing inline links from your partners. In this case, you will need to disable [Hotlink Protection](/waf/tools/scrape-shield/hotlink-protection/) within the **Scrape Shield** app so that partner referrals are not blocked by that feature.
-This example uses the [`http.referer`](/ruleset-engine/rules-language/fields/#field-http-referer) field to target HTTP referrals from partner sites.
+This example uses the [`http.referer`](/ruleset-engine/rules-language/fields/standard-fields/#httpreferer) field to target HTTP referrals from partner sites.
The `not` operator matches HTTP referrals that are not from partner sites, and the action blocks them:
diff --git a/src/content/docs/waf/custom-rules/use-cases/require-specific-cookie.mdx b/src/content/docs/waf/custom-rules/use-cases/require-specific-cookie.mdx
index 59f15e0b1b5a9b..2ac586b4f8c76d 100644
--- a/src/content/docs/waf/custom-rules/use-cases/require-specific-cookie.mdx
+++ b/src/content/docs/waf/custom-rules/use-cases/require-specific-cookie.mdx
@@ -6,7 +6,7 @@ title: Require a specific cookie
To secure a sensitive area such as a development area, you can share a cookie with trusted individuals and then filter requests so that only users with that cookie can access your site.
-Use the [`http.cookie`](/ruleset-engine/rules-language/fields/#field-http-cookie) field to target requests based on the presence of a specific cookie.
+Use the [`http.cookie`](/ruleset-engine/rules-language/fields/standard-fields/#httpcookie) field to target requests based on the presence of a specific cookie.
This example comprises two rules:
diff --git a/src/content/docs/waf/custom-rules/use-cases/require-specific-headers.mdx b/src/content/docs/waf/custom-rules/use-cases/require-specific-headers.mdx
index 4593a18e05d54f..58982c07aa68e8 100644
--- a/src/content/docs/waf/custom-rules/use-cases/require-specific-headers.mdx
+++ b/src/content/docs/waf/custom-rules/use-cases/require-specific-headers.mdx
@@ -4,9 +4,9 @@ title: Require specific HTTP headers
---
-Many organizations qualify traffic based on the presence of specific HTTP request headers. Use the Rules language [HTTP request header fields](/ruleset-engine/rules-language/fields/#http-request-header-fields) to target requests with specific headers.
+Many organizations qualify traffic based on the presence of specific HTTP request headers. Use the Rules language [HTTP request header fields](/ruleset-engine/rules-language/fields/http-request-header/) to target requests with specific headers.
-This example uses the `http.headers.names` field to look for the presence of an `X-CSRF-Token` header. The [`lower()`](/ruleset-engine/rules-language/functions/#function-lower) transformation function converts the value to lowercase so that the expression is case insensitive.
+This example uses the `http.headers.names` field to look for the presence of an `X-CSRF-Token` header. The [`lower()`](/ruleset-engine/rules-language/functions/#lower) transformation function converts the value to lowercase so that the expression is case insensitive.
When the `X-CSRF-Token` header is missing, Cloudflare blocks the request:
diff --git a/src/content/docs/waf/custom-rules/use-cases/require-specific-http-ports.mdx b/src/content/docs/waf/custom-rules/use-cases/require-specific-http-ports.mdx
index 4a15e0da5008d5..b7f094a96c7703 100644
--- a/src/content/docs/waf/custom-rules/use-cases/require-specific-http-ports.mdx
+++ b/src/content/docs/waf/custom-rules/use-cases/require-specific-http-ports.mdx
@@ -8,7 +8,7 @@ import { Render } from "~/components"
By default, Cloudflare allows requests on a [number of different HTTP ports](/fundamentals/reference/network-ports/).
-You can target requests based on their HTTP port with the [`cf.edge.server_port`](/ruleset-engine/rules-language/fields/#field-cf-edge-server_port) field. Use the `in` [comparison operator](/ruleset-engine/rules-language/operators/#comparison-operators) to target a set of ports.
+You can target requests based on their HTTP port with the [`cf.edge.server_port`](/ruleset-engine/rules-language/fields/#cf-edge-server_port) field. Use the `in` [comparison operator](/ruleset-engine/rules-language/operators/#comparison-operators) to target a set of ports.
This example blocks requests to `www.example.com` that are not on ports `80` or `443`:
diff --git a/src/content/docs/waf/custom-rules/use-cases/site-admin-only-known-ips.mdx b/src/content/docs/waf/custom-rules/use-cases/site-admin-only-known-ips.mdx
index d81cd7f8927cf2..b0cfa41d209bf3 100644
--- a/src/content/docs/waf/custom-rules/use-cases/site-admin-only-known-ips.mdx
+++ b/src/content/docs/waf/custom-rules/use-cases/site-admin-only-known-ips.mdx
@@ -8,7 +8,7 @@ If an attack compromises the administrative area of your website, the consequenc
The example below limits access to the WordPress admin area, `/wp-admin/`, by blocking requests that do not originate from a specified set of IP addresses.
-To prevent attackers from successfully using a permutation of `/wp-admin/` such as `/wP-AdMiN/`, use the [`lower()`](/ruleset-engine/rules-language/functions/#function-lower) transformation function to convert the URI path to lowercase:
+To prevent attackers from successfully using a permutation of `/wp-admin/` such as `/wP-AdMiN/`, use the [`lower()`](/ruleset-engine/rules-language/functions/#lower) transformation function to convert the URI path to lowercase:
- **Expression**: `(not ip.src in {10.20.30.40 192.168.1.0/24} and starts_with(lower(http.request.uri.path), "/wp-admin"))`
diff --git a/src/content/docs/waf/custom-rules/use-cases/stop-rudy-attacks.mdx b/src/content/docs/waf/custom-rules/use-cases/stop-rudy-attacks.mdx
index e828377b846b5f..bcc05347ee4c41 100644
--- a/src/content/docs/waf/custom-rules/use-cases/stop-rudy-attacks.mdx
+++ b/src/content/docs/waf/custom-rules/use-cases/stop-rudy-attacks.mdx
@@ -8,7 +8,7 @@ R-U-Dead-Yet (R.U.D.Y.) attacks accomplish denial of service (DoS) by submitting
This example combines three expressions to target HTTP `POST` requests that do not contain a legitimate authenticated session cookie:
-* The first expression uses the [`http.request.uri.path`](/ruleset-engine/rules-language/fields/#field-http-request-uri-path) field to target the paths to secure from R.U.D.Y.:
+* The first expression uses the [`http.request.uri.path`](/ruleset-engine/rules-language/fields/standard-fields/#httprequesturipath) field to target the paths to secure from R.U.D.Y.:
```txt
http.request.uri.path matches "(comment|conversation|event|poll)/create"
diff --git a/src/content/docs/waf/custom-rules/use-cases/update-rules-customers-partners.mdx b/src/content/docs/waf/custom-rules/use-cases/update-rules-customers-partners.mdx
index ea1d1a5a8544fa..1172d41dc2875b 100644
--- a/src/content/docs/waf/custom-rules/use-cases/update-rules-customers-partners.mdx
+++ b/src/content/docs/waf/custom-rules/use-cases/update-rules-customers-partners.mdx
@@ -24,8 +24,8 @@ If a customer or partner is large enough, you could set up a custom rule based o
This example uses:
-* The [`ip.geoip.asnum`](/ruleset-engine/rules-language/fields/#field-ip-src-asnum) field to specify the general region.
-* The [`cf.bot_management.score`](/ruleset-engine/rules-language/fields/#field-cf-bot_management-score) field to ensure partner traffic does not come from bots.
+* The [`ip.geoip.asnum`](/ruleset-engine/rules-language/fields/#ip-src-asnum) field to specify the general region.
+* The [`cf.bot_management.score`](/ruleset-engine/rules-language/fields/#cf-bot_management-score) field to ensure partner traffic does not come from bots.
- **Expression**: `(ip.geoip.asnum eq 64496 and cf.bot_management.score gt 30)`
- **Action**: Skip:
@@ -43,8 +43,8 @@ Access to [Bot Management](/bots/plans/bm-subscription/) requires a Cloudflare E
This example uses:
-* The [`ip.geoip.asnum`](/ruleset-engine/rules-language/fields/#field-ip-src-asnum) field to specify the general region.
-* The [`cf.threat_score`](/ruleset-engine/rules-language/fields/#field-cf-threat_score) dynamic field to ensure requests are not high-risk traffic.
+* The [`ip.geoip.asnum`](/ruleset-engine/rules-language/fields/#ip-src-asnum) field to specify the general region.
+* The [`cf.threat_score`](/ruleset-engine/rules-language/fields/#cf-threat_score) dynamic field to ensure requests are not high-risk traffic.
If a request meets these criteria, your custom rule skips [User Agent Blocking](/waf/tools/user-agent-blocking/) rules.
@@ -62,7 +62,7 @@ For smaller organizations, you could set up custom rules based on IP addresses.
This example:
* Specifies the source IP address and the host.
-* Uses the [`cf.bot_management.score`](/ruleset-engine/rules-language/fields/#field-cf-bot_management-score) field to ensure requests are not high-risk traffic.
+* Uses the [`cf.bot_management.score`](/ruleset-engine/rules-language/fields/#cf-bot_management-score) field to ensure requests are not high-risk traffic.
- **Expression**: `(ip.src eq 203.0.113.1 and http.host eq "example.com" and cf.bot_management.score gt 30)`
- **Action**: Skip:
diff --git a/src/content/docs/waf/managed-rules/check-for-exposed-credentials/configure-api.mdx b/src/content/docs/waf/managed-rules/check-for-exposed-credentials/configure-api.mdx
index b26364fda53c61..97721192da3066 100644
--- a/src/content/docs/waf/managed-rules/check-for-exposed-credentials/configure-api.mdx
+++ b/src/content/docs/waf/managed-rules/check-for-exposed-credentials/configure-api.mdx
@@ -36,7 +36,7 @@ To check for exposed credentials in a custom rule, include the `exposed_credenti
These properties have additional requirements:
* Each expression must evaluate to a string.
-* You can only use the [`upper()`](/ruleset-engine/rules-language/functions/#function-upper), [`lower()`](/ruleset-engine/rules-language/functions/#function-lower), [`url_decode()`](/ruleset-engine/rules-language/functions/#function-url_decode), and [`lookup_json_string()`](/ruleset-engine/rules-language/functions/#function-lookup_json_string) functions, and you cannot nest these functions.
+* You can only use the [`upper()`](/ruleset-engine/rules-language/functions/#upper), [`lower()`](/ruleset-engine/rules-language/functions/#lower), [`url_decode()`](/ruleset-engine/rules-language/functions/#url_decode), and [`lookup_json_string()`](/ruleset-engine/rules-language/functions/#lookup_json_string) functions, and you cannot nest these functions.
:::
diff --git a/src/content/docs/waf/rate-limiting-rules/best-practices.mdx b/src/content/docs/waf/rate-limiting-rules/best-practices.mdx
index a84cfc28232a9a..e504b07a469926 100644
--- a/src/content/docs/waf/rate-limiting-rules/best-practices.mdx
+++ b/src/content/docs/waf/rate-limiting-rules/best-practices.mdx
@@ -226,7 +226,7 @@ You could also limit the number of lookups of each `product_id` regardless of th
:::note
-If the request body is not JSON, you can use the [`http.request.body.raw`](/ruleset-engine/rules-language/fields/#field-http-request-body-raw) field and regular expressions (along with the [`matches` operator](/ruleset-engine/rules-language/operators/#comparison-operators)) to achieve the same goal.
+If the request body is not JSON, you can use the [`http.request.body.raw`](/ruleset-engine/rules-language/fields/http-request-body/#httprequestbodyraw) field and regular expressions (along with the [`matches` operator](/ruleset-engine/rules-language/operators/#comparison-operators)) to achieve the same goal.
:::
### Limit requests from bots
diff --git a/src/content/docs/waf/rate-limiting-rules/create-account-dashboard.mdx b/src/content/docs/waf/rate-limiting-rules/create-account-dashboard.mdx
index a423f81abf4090..37df7ad31712b4 100644
--- a/src/content/docs/waf/rate-limiting-rules/create-account-dashboard.mdx
+++ b/src/content/docs/waf/rate-limiting-rules/create-account-dashboard.mdx
@@ -47,7 +47,7 @@ To create a new custom rate limiting ruleset:
The available characteristics depend on your Cloudflare plan and product subscriptions.
-10. (Optional) To define an expression that specifies the conditions for incrementing the rate counter, enable **Use custom counting expression** and set the expression. By default, the counting expression is the same as the rule expression. The counting expression can include [response fields](/ruleset-engine/rules-language/fields/#http-response-fields).
+10. (Optional) To define an expression that specifies the conditions for incrementing the rate counter, enable **Use custom counting expression** and set the expression. By default, the counting expression is the same as the rule expression. The counting expression can include [response fields](/ruleset-engine/rules-language/fields/http-request-response/).
11. Under **When rate exceeds**, define the maximum number of requests and the time period to consider when determining the rate.
diff --git a/src/content/docs/waf/rate-limiting-rules/create-zone-dashboard.mdx b/src/content/docs/waf/rate-limiting-rules/create-zone-dashboard.mdx
index b61c29335e48dd..04768f0d50fea7 100644
--- a/src/content/docs/waf/rate-limiting-rules/create-zone-dashboard.mdx
+++ b/src/content/docs/waf/rate-limiting-rules/create-zone-dashboard.mdx
@@ -28,7 +28,7 @@ import { Render } from "~/components"
7. Under **With the same characteristics**, add one or more characteristics that will define the request counters for rate limiting purposes. Each value combination will have its own counter to determine the rate. Refer to [How Cloudflare determines the request rate](/waf/rate-limiting-rules/request-rate/) for more information.
-8. (Optional) To define an expression that specifies the conditions for incrementing the rate counter, enable **Use custom counting expression** and set the expression. By default, the counting expression is the same as the rule expression. The counting expression can include [response fields](/ruleset-engine/rules-language/fields/#http-response-fields).
+8. (Optional) To define an expression that specifies the conditions for incrementing the rate counter, enable **Use custom counting expression** and set the expression. By default, the counting expression is the same as the rule expression. The counting expression can include [response fields](/ruleset-engine/rules-language/fields/http-request-response/).
9. Under **When rate exceeds**, define the maximum number of requests and the time period to consider when determining the rate.
diff --git a/src/content/docs/waf/rate-limiting-rules/parameters.mdx b/src/content/docs/waf/rate-limiting-rules/parameters.mdx
index 80cf3761b46cb7..f4d1d51f2493c9 100644
--- a/src/content/docs/waf/rate-limiting-rules/parameters.mdx
+++ b/src/content/docs/waf/rate-limiting-rules/parameters.mdx
@@ -49,8 +49,8 @@ Use one or more of the following characteristics:
| **Country** | `ip.geoip.country` |
| **JA3 Fingerprint** | `cf.bot_management.ja3_hash` |
| **JA4** | `cf.bot_management.ja4` |
-| **JSON string value of** (enter key) | `lookup_json_string(http.request.body.raw, "")` | [Missing field versus empty value](#missing-field-versus-empty-value) and [`lookup_json_string()` function reference](/ruleset-engine/rules-language/functions/#function-lookup_json_string) |
-| **JSON integer value of** (enter key) | `lookup_json_integer(http.request.body.raw, "")` | [Missing field versus empty value](#missing-field-versus-empty-value) and [`lookup_json_integer()` function reference](/ruleset-engine/rules-language/functions/#function-lookup_json_integer) |
+| **JSON string value of** (enter key) | `lookup_json_string(http.request.body.raw, "