From b768deb701b1d7db0155cea81f556301bae33fac Mon Sep 17 00:00:00 2001
From: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>
Date: Tue, 20 Feb 2024 20:11:27 -0800
Subject: [PATCH] Spelling

---
 examples/lats/lats.ipynb           |  2 +-
 examples/reflexion/reflexion.ipynb | 18 +++---------------
 2 files changed, 4 insertions(+), 16 deletions(-)

diff --git a/examples/lats/lats.ipynb b/examples/lats/lats.ipynb
index 54f42b86d..bac0515b8 100644
--- a/examples/lats/lats.ipynb
+++ b/examples/lats/lats.ipynb
@@ -7,7 +7,7 @@
    "source": [
     "# Language Agent Tree Search\n",
     "\n",
-    "[Language Agent Tree Search](https://andyz245.github.io/LanguageAgentTreeSearch/) (LATS), by Zhou, et. al, is a general LLM agent frameowrk that combines reflection/evaluation and search (specifically monte-carlo trees search) to get achieve better overall task performance compared to similar techniques like ReACT, Reflexion, or Tree of Thoughts.\n",
+    "[Language Agent Tree Search](https://andyz245.github.io/LanguageAgentTreeSearch/) (LATS), by Zhou, et. al, is a general LLM agent search algorithm that combines reflection/evaluation and search (specifically monte-carlo trees search) to get achieve better overall task performance compared to similar techniques like ReACT, Reflexion, or Tree of Thoughts.\n",
     "\n",
     "![LATS diagram](./img/lats.png)\n",
     "\n",
diff --git a/examples/reflexion/reflexion.ipynb b/examples/reflexion/reflexion.ipynb
index d5cdb71bc..3a1e90160 100644
--- a/examples/reflexion/reflexion.ipynb
+++ b/examples/reflexion/reflexion.ipynb
@@ -239,7 +239,6 @@
     "                self.validator.invoke(response)\n",
     "                return response\n",
     "            except ValidationError as e:\n",
-    "                print(\"RETRYING\", attempt)\n",
     "                state = state + [HumanMessage(content=repr(e))]\n",
     "        return response"
    ]
@@ -269,24 +268,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": null,
    "id": "20901d77-0f5f-4596-90a4-412c0ac5f2c2",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "dict_keys(['answer', 'reflection', 'search_queries'])"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "parsed = parser.invoke(initial)\n",
-    "parsed[0][\"args\"].keys()"
+    "parsed"
    ]
   },
   {