update notebook (#7852)

docs/extras/guides/langsmith/walkthrough.ipynb

@@ -23,7 +23,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "id": "138fbb8f-960d-4d26-9dd5-6d6acab3ee55",
    "metadata": {},
@@ -68,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 1,
    "id": "904db9a5-f387-4a57-914c-c8af8d39e249",
    "metadata": {
     "tags": []
@@ -101,7 +100,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 2,
    "id": "510b5ca0",
    "metadata": {
     "tags": []
@@ -123,7 +122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 3,
    "id": "7c801853-8e96-404d-984c-51ace59cbbef",
    "metadata": {
     "tags": []
@@ -150,7 +149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 4,
    "id": "19537902-b95c-4390-80a4-f6c9a937081e",
    "metadata": {
     "tags": []
@@ -189,7 +188,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 5,
    "id": "0405ff30-21fe-413d-85cf-9fa3c649efec",
    "metadata": {
     "tags": []
@@ -206,7 +205,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "id": "9decb964-be07-4b6c-9802-9825c8be7b64",
    "metadata": {},
@@ -232,7 +230,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "id": "beab1a29-b79d-4a99-b5b1-0870c2d772b1",
    "metadata": {},
@@ -248,7 +245,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 6,
    "id": "17580c4b-bd04-4dde-9d21-9d4edd25b00d",
    "metadata": {
     "tags": []
@@ -286,7 +283,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 7,
    "id": "f42d8ecc-d46a-448b-a89c-04b0f6907f75",
    "metadata": {
     "tags": []
@@ -313,7 +310,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "id": "9cb9ef53",
    "metadata": {},
@@ -334,7 +330,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 8,
    "id": "a25dc281",
    "metadata": {
     "tags": []
@@ -369,7 +365,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "id": "07885b10",
    "metadata": {
@@ -388,7 +383,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 9,
    "id": "3733269b-8085-4644-9d5d-baedcff13a2f",
    "metadata": {
     "tags": []
@@ -398,6 +393,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "View the evaluation results for project '2023-07-17-11-25-20-AgentExecutor' at:\n",
+      "https://dev.smith.langchain.com/projects/p/1c9baec3-ae86-4fac-9e99-e1b9f8e7818c?eval=true\n",
       "Processed examples: 1\r"
      ]
     },
@@ -405,7 +402,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Chain failed for example 85f3a543-0429-48ae-be23-f48f0d903530. Error: LLMMathChain._evaluate(\"\n",
+      "Chain failed for example 5a2ac8da-8c2b-4d12-acb9-5c4b0f47fe8a. Error: LLMMathChain._evaluate(\"\n",
       "age_of_Dua_Lipa_boyfriend ** 0.43\n",
       "\") raised error: 'age_of_Dua_Lipa_boyfriend'. Please try again with a valid numerical expression\n"
      ]
@@ -414,14 +411,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Processed examples: 6\r"
+      "Processed examples: 4\r"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Chain failed for example 97d0d138-e9b3-4825-af2c-42789c66c0d4. Error: Too many arguments to single-input tool Calculator. Args: ['height ^ 0.13', {'height': 72}]\n"
+      "Chain failed for example 91439261-1c86-4198-868b-a6c1cc8a051b. Error: Too many arguments to single-input tool Calculator. Args: ['height ^ 0.13', {'height': 68}]\n"
      ]
     },
     {
@@ -477,7 +474,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 10,
    "id": "33bfefde-d1bb-4f50-9f7a-fd572ee76820",
    "metadata": {
     "tags": []
@@ -486,10 +483,10 @@
     {
      "data": {
       "text/plain": [
-       "Run(id=UUID('eb71a98c-660b-45e4-904e-e1567fdec145'), name='AgentExecutor', start_time=datetime.datetime(2023, 7, 13, 8, 23, 35, 102907), run_type=<RunTypeEnum.chain: 'chain'>, end_time=datetime.datetime(2023, 7, 13, 8, 23, 37, 793962), extra={'runtime': {'library': 'langchain', 'runtime': 'python', 'platform': 'macOS-13.4.1-arm64-arm-64bit', 'sdk_version': '0.0.5', 'library_version': '0.0.231', 'runtime_version': '3.11.2'}, 'total_tokens': 512, 'prompt_tokens': 451, 'completion_tokens': 61}, error=None, serialized=None, events=[{'name': 'start', 'time': '2023-07-13T08:23:35.102907'}, {'name': 'end', 'time': '2023-07-13T08:23:37.793962'}], inputs={'input': 'what is 1213 divided by 4345?'}, outputs={'output': '1213 divided by 4345 is approximately 0.2792.'}, reference_example_id=UUID('d343add7-2631-417b-905a-dc39361ace69'), parent_run_id=None, tags=['openai-functions', 'testing-notebook'], execution_order=1, session_id=UUID('cc5f4f88-f1bf-495f-8adb-384f66321eb2'), child_run_ids=[UUID('daa9708a-ad08-4be1-9841-e92e2f384cce'), UUID('28b1ada7-3fe8-4853-a5b0-dac8a93a3066'), UUID('dc0b4867-3f3d-46f7-bfb5-f4be10f3cc52'), UUID('58c9494e-2ea6-4291-ab78-73b8ffcdaef5'), UUID('8f5a3e08-ce96-4c81-a6aa-86bf5b3bb590'), UUID('f0447532-7ded-45b6-9d87-f1fa18e381b0')], child_runs=None, feedback_stats={'correctness': {'n': 1, 'avg': 1.0, 'mode': 1}, 'helpfulness': {'n': 1, 'avg': 1.0, 'mode': 1}, 'fifth-grader-score': {'n': 1, 'avg': 0.0, 'mode': 0}, 'embedding_cosine_distance': {'n': 1, 'avg': 0.144522385071361, 'mode': 0.144522385071361}})"
+       "Run(id=UUID('e39f310b-c5a8-4192-8a59-6a9498e1cb85'), name='AgentExecutor', start_time=datetime.datetime(2023, 7, 17, 18, 25, 30, 653872), run_type=<RunTypeEnum.chain: 'chain'>, end_time=datetime.datetime(2023, 7, 17, 18, 25, 35, 359642), extra={'runtime': {'library': 'langchain', 'runtime': 'python', 'platform': 'macOS-13.4.1-arm64-arm-64bit', 'sdk_version': '0.0.8', 'library_version': '0.0.231', 'runtime_version': '3.11.2'}, 'total_tokens': 512, 'prompt_tokens': 451, 'completion_tokens': 61}, error=None, serialized=None, events=[{'name': 'start', 'time': '2023-07-17T18:25:30.653872'}, {'name': 'end', 'time': '2023-07-17T18:25:35.359642'}], inputs={'input': 'what is 1213 divided by 4345?'}, outputs={'output': '1213 divided by 4345 is approximately 0.2792.'}, reference_example_id=UUID('a75cf754-4f73-46fd-b126-9bcd0695e463'), parent_run_id=None, tags=['openai-functions', 'testing-notebook'], execution_order=1, session_id=UUID('1c9baec3-ae86-4fac-9e99-e1b9f8e7818c'), child_run_ids=[UUID('40d0fdca-0b2b-47f4-a9da-f2b229aa4ed5'), UUID('cfa5130f-264c-4126-8950-ec1c4c31b800'), UUID('ba638a2f-2a57-45db-91e8-9a7a66a42c5a'), UUID('fcc29b5a-cdb7-4bcc-8194-47729bbdf5fb'), UUID('a6f92bf5-cfba-4747-9336-370cb00c928a'), UUID('65312576-5a39-4250-b820-4dfae7d73945')], child_runs=None, feedback_stats={'correctness': {'n': 1, 'avg': 1.0, 'mode': 1}, 'helpfulness': {'n': 1, 'avg': 1.0, 'mode': 1}, 'fifth-grader-score': {'n': 1, 'avg': 1.0, 'mode': 1}, 'embedding_cosine_distance': {'n': 1, 'avg': 0.144522385071361, 'mode': 0.144522385071361}})"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -501,7 +498,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 11,
    "id": "6595c888-1f5c-4ae3-9390-0a559f5575d1",
    "metadata": {
     "tags": []
@@ -510,15 +507,15 @@
     {
      "data": {
       "text/plain": [
-       "{'correctness': {'n': 7, 'avg': 0.7142857142857143, 'mode': 1},\n",
-       " 'helpfulness': {'n': 7, 'avg': 1.0, 'mode': 1},\n",
+       "{'correctness': {'n': 7, 'avg': 0.5714285714285714, 'mode': 1},\n",
+       " 'helpfulness': {'n': 7, 'avg': 0.7142857142857143, 'mode': 1},\n",
        " 'fifth-grader-score': {'n': 7, 'avg': 0.7142857142857143, 'mode': 1},\n",
        " 'embedding_cosine_distance': {'n': 7,\n",
-       "  'avg': 0.08308464442094905,\n",
-       "  'mode': 0.00371031210788608}}"
+       "  'avg': 0.11462010799473926,\n",
+       "  'mode': 0.0130477459560272}}"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -528,7 +525,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "id": "2646f0fb-81d4-43ce-8a9b-54b8e19841e2",
    "metadata": {
@@ -543,12 +539,6 @@
     "\n",
     "For more information on how you can get the most out of LangSmith, check out [LangSmith documentation](https://docs.smith.langchain.com/), and please reach out with questions, feature requests, or feedback at [support@langchain.dev](mailto:support@langchain.dev)."
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "57237f12",
-   "metadata": {},
-   "source": []
   }
  ],
  "metadata": {
@@ -567,7 +557,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.11.2"
   }
  },
  "nbformat": 4,