From 5ea3a5908d334cfc29a7937f9f81b0b8cde902b5 Mon Sep 17 00:00:00 2001
From: Tommy <tcacollins@gmail.com>
Date: Sat, 23 Nov 2024 00:57:14 +0000
Subject: [PATCH] minor notebook cleanup

---
 00_core.ipynb | 19 +++----------------
 1 file changed, 3 insertions(+), 16 deletions(-)

diff --git a/00_core.ipynb b/00_core.ipynb
index bfa5e56..55628d5 100644
--- a/00_core.ipynb
+++ b/00_core.ipynb
@@ -775,7 +775,7 @@
    "id": "fb04f6b4",
    "metadata": {},
    "source": [
-    "LLMs, don't actually have state, but instead dialogs are created by passing back all previous prompts and responses every time. With OpenAI, they always alternate *user* and *assistant*. We'll use `mk_msgs` from `msglm` to make it easier to build up these dialog lists."
+    "LLMs, don't actually have state, but instead dialogs are created by passing back all previous prompts and responses every time. With Claude, they always alternate *user* and *assistant*. We'll use `mk_msgs` from `msglm` to make it easier to build up these dialog lists."
    ]
   },
   {
@@ -2808,7 +2808,7 @@
    "id": "09be3d09",
    "metadata": {},
    "source": [
-    "You don't need to call `mk_msg` on each individual message before passing them to `Chat`. Instead you can pass your messages in a list and the `Chat` class will automatically call `mk_msgs` in the background. \n",
+    "You don't need to call `mk_msg` on each individual message before passing them to the `Chat` class. Instead you can pass your messages in a list and the `Chat` class will automatically call `mk_msgs` in the background. \n",
     "\n",
     "```python\n",
     "c([\"How are you?\", r])\n",
@@ -2992,20 +2992,7 @@
    "execution_count": null,
    "id": "5fd151fe",
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "KeyError",
-     "evalue": "'AWS_ACCESS_KEY'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[104], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m ab \u001b[38;5;241m=\u001b[39m AnthropicBedrock(\n\u001b[0;32m----> 2\u001b[0m     aws_access_key\u001b[38;5;241m=\u001b[39m\u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43menviron\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mAWS_ACCESS_KEY\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m,\n\u001b[1;32m      3\u001b[0m     aws_secret_key\u001b[38;5;241m=\u001b[39mos\u001b[38;5;241m.\u001b[39menviron[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAWS_SECRET_KEY\u001b[39m\u001b[38;5;124m'\u001b[39m],\n\u001b[1;32m      4\u001b[0m )\n\u001b[1;32m      5\u001b[0m client \u001b[38;5;241m=\u001b[39m Client(models_aws[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m], ab)\n",
-      "File \u001b[0;32m<frozen os>:679\u001b[0m, in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n",
-      "\u001b[0;31mKeyError\u001b[0m: 'AWS_ACCESS_KEY'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "ab = AnthropicBedrock(\n",
     "    aws_access_key=os.environ['AWS_ACCESS_KEY'],\n",