add requests to notebook (langchain-ai#34)

Author: hwchase17

examples/agent/client.ipynb

@@ -9,6 +9,45 @@
     "Demo of a client interacting with a remote agent. "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can interact with this via API directly"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'output': {'output': 'Eugene thinks that cats like fish.'}}"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import requests\n",
+    "\n",
+    "inputs = {\"input\": {\"input\": \"what does eugene think of cats?\"}}\n",
+    "response = requests.post(\"http://localhost:8000/invoke\", json=inputs)\n",
+    "\n",
+    "response.json()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also interact with this via the RemoteRunnable interface (to use in other chains)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 3,

examples/chain/client.ipynb

@@ -9,18 +9,46 @@
     "Demo of client interacting with the simple chain server, which deploys a chain that tells jokes about a particular topic."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can interact with this via API directly"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'output': {'content': \"Why don't scientists trust atoms when playing sports? \\n\\nBecause they make up everything!\",\n",
+       "  'additional_kwargs': {},\n",
+       "  'type': 'ai',\n",
+       "  'example': False}}"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import requests\n",
+    "\n",
+    "inputs = {\"input\": {\"topic\": \"sports\"}}\n",
+    "response = requests.post(\"http://localhost:8000/invoke\", json=inputs)\n",
+    "\n",
+    "response.json()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "from langchain.prompts.chat import (\n",
-    "    HumanMessagePromptTemplate,\n",
-    "    SystemMessagePromptTemplate,\n",
-    ")"
+    "You can also interact with this via the RemoteRunnable interface (to use in other chains)"
    ]
   },
   {
@@ -155,7 +183,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.10.1"
   }
  },
  "nbformat": 4,

examples/conversational_retrieval_chain/client.ipynb

@@ -9,6 +9,45 @@
     "Demo of a client interacting with a remote conversational retrieval chain. "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can interact with this via API directly"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'output': {'answer': 'Cats like fish.'}}"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import requests\n",
+    "\n",
+    "inputs = {\"input\": {\"question\": \"what do cats like?\", \"chat_history\": \"\"}}\n",
+    "response = requests.post(\"http://localhost:8000/invoke\", json=inputs)\n",
+    "\n",
+    "response.json()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also interact with this via the RemoteRunnable interface (to use in other chains)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 6,

examples/llm/client.ipynb

@@ -316,7 +316,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.10.1"
   }
  },
  "nbformat": 4,

examples/retrieval/client.ipynb

@@ -9,6 +9,48 @@
     "Demo of a client interacting with a remote retriever. "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can interact with this via API directly"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'output': [{'page_content': 'dogs like sticks',\n",
+       "   'metadata': {},\n",
+       "   'type': 'Document'},\n",
+       "  {'page_content': 'cats like fish', 'metadata': {}, 'type': 'Document'}]}"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import requests\n",
+    "\n",
+    "inputs = {\"input\": \"tree\"}\n",
+    "response = requests.post(\"http://localhost:8000/invoke\", json=inputs)\n",
+    "\n",
+    "response.json()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also interact with this via the RemoteRunnable interface (to use in other chains)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -39,8 +81,8 @@
     {
      "data": {
       "text/plain": [
-       "[Document(page_content='dogs like sticks', metadata={}),\n",
-       " Document(page_content='cats like fish', metadata={})]"
+       "[Document(page_content='dogs like sticks'),\n",
+       " Document(page_content='cats like fish')]"
       ]
      },
      "execution_count": 2,
@@ -182,7 +224,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.10.1"
   }
  },
  "nbformat": 4,