fixed ch11

Author: corradocavalli

11-integrating-with-function-calling/Lesson11-FunctionCalling.ipynb

@@ -33,7 +33,22 @@
     " - `Microsoft Learn Catalog API` to help users find courses based on the request of the user \n",
     " - `Function Calling` to take the user's query and send it to a function to make the API request. \n",
     "\n",
-    "To get started, let's look at why we would want to use function calling in the first place: "
+    "To get started, let's look at why we would want to use function calling in the first place: \n",
+    "\n",
+    "print(\"Messages in next request:\")\n",
+    "print(messages)\n",
+    "print()\n",
+    "\n",
+    "second_response = client.chat.completions.create(\n",
+    "    messages=messages,\n",
+    "    model=deployment,\n",
+    "    function_call=\"auto\",\n",
+    "    functions=functions,\n",
+    "    temperature=0\n",
+    "        )  # get a new response from GPT where it can see the function response\n",
+    "\n",
+    "\n",
+    "print(second_response.choices[0].message)"
    ]
   },
   {
@@ -133,12 +148,17 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "import openai\n",
     "import json\n",
-    "openai.api_type = \"azure\"\n",
-    "openai.api_base = \"YOUR OPENAI API BASE URL\"\n",
-    "openai.api_version = \"2023-07-01-preview\"\n",
-    "openai.api_key = os.getenv(\"OPENAI_API_KEY\")"
+    "from openai import AzureOpenAI\n",
+    "from dotenv import load_dotenv\n",
+    "load_dotenv()\n",
+    "\n",
+    "client = AzureOpenAI(\n",
+    "  api_key=os.environ['AZURE_OPENAI_KEY'],  # this is also the default, it can be omitted\n",
+    "  api_version = \"2023-07-01-preview\"\n",
+    "  )\n",
+    "\n",
+    "deployment=os.environ['AZURE_OPENAI_DEPLOYMENT']"
    ]
   },
   {
@@ -154,12 +174,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
-    "openai_response1 = openai.ChatCompletion.create(\n",
-    " engine=\"gpt-function\",    \n",
+    "openai_response1 = client.chat.completions.create(\n",
+    " model=deployment,    \n",
     " messages = [{'role': 'user', 'content': prompt1}]\n",
     ")\n",
-    "openai_response1['choices'][0]['message']['content'] "
+    "openai_response1.choices[0].message.content "
    ]
   },
   {
@@ -168,14 +187,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
-    "\n",
-    "openai_response2 = openai.ChatCompletion.create(\n",
-    "    engine=\"gpt-function\",\n",
-    "    messages = [{'role': 'user', 'content': prompt2 }]\n",
+    "openai_response2 = client.chat.completions.create(\n",
+    " model=deployment,    \n",
+    " messages = [{'role': 'user', 'content': prompt2}]\n",
     ")\n",
-    "openai_response2['choices'][0]['message']['content'] \n",
-    "\n"
+    "openai_response2.choices[0].message.content"
    ]
   },
   {
@@ -185,7 +201,7 @@
    "outputs": [],
    "source": [
     "# Loading the response as a JSON object\n",
-    "json_response1 = json.loads(openai_response1['choices'][0]['message']['content'])\n",
+    "json_response1 = json.loads(openai_response1.choices[0].message.content)\n",
     "json_response1"
    ]
   },
@@ -196,7 +212,7 @@
    "outputs": [],
    "source": [
     "# Loading the response as a JSON object\n",
-    "json_response2 = json.loads(openai_response2['choices'][0]['message']['content'])\n",
+    "json_response2 = json.loads(openai_response2.choices[0].message.content )\n",
     "json_response2"
    ]
   },
@@ -379,12 +395,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "response = openai.ChatCompletion.create( engine=\"gpt-function\", \n",
-    "                                        messages=messages, \n",
+    "response = client.chat.completions.create(model=deployment, \n",
+    "                                        messages=messages,\n",
     "                                        functions=functions, \n",
-    "                                        function_call=\"auto\", ) \n",
+    "                                        function_call=\"auto\") \n",
     "\n",
-    "print(response['choices'][0]['message'])\n"
+    "print(response.choices[0].message)"
    ]
   },
   {
@@ -426,7 +442,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "response_message = response[\"choices\"][0][\"message\"]"
+    "response_message = response.choices[0].message"
    ]
   },
   {
@@ -480,21 +496,20 @@
    "outputs": [],
    "source": [
     "# Check if the model wants to call a function\n",
-    "if response_message.get(\"function_call\"):\n",
+    "if response_message.function_call.name:\n",
     "    print(\"Recommended Function call:\")\n",
-    "    print(response_message.get(\"function_call\"))\n",
+    "    print(response_message.function_call.name)\n",
     "    print()\n",
     "\n",
-    "\n",
     "    # Call the function. \n",
-    "    function_name = response_message[\"function_call\"][\"name\"]\n",
+    "    function_name = response_message.function_call.name\n",
     "\n",
     "    available_functions = {\n",
     "            \"search_courses\": search_courses,\n",
     "    }\n",
     "    function_to_call = available_functions[function_name] \n",
     "\n",
-    "    function_args = json.loads(response_message[\"function_call\"][\"arguments\"])\n",
+    "    function_args = json.loads(response_message.function_call.arguments)\n",
     "    function_response = function_to_call(**function_args)\n",
     "\n",
     "    print(\"Output of function call:\")\n",
@@ -505,10 +520,10 @@
     "    # Add the assistant response and function response to the messages\n",
     "    messages.append( # adding assistant response to messages\n",
     "        {\n",
-    "            \"role\": response_message[\"role\"],\n",
+    "            \"role\": response_message.role,\n",
     "            \"function_call\": {\n",
     "                \"name\": function_name,\n",
-    "                \"arguments\": response_message[\"function_call\"][\"arguments\"],\n",
+    "                \"arguments\": response_message.function_call.arguments,\n",
     "            },\n",
     "            \"content\": None\n",
     "        }\n",
@@ -540,16 +555,16 @@
     "print(messages)\n",
     "print()\n",
     "\n",
-    "second_response = openai.ChatCompletion.create(\n",
+    "second_response = client.chat.completions.create(\n",
     "    messages=messages,\n",
-    "    engine=\"gpt-function\",\n",
+    "    model=deployment,\n",
     "    function_call=\"auto\",\n",
     "    functions=functions,\n",
     "    temperature=0\n",
     "        )  # get a new response from GPT where it can see the function response\n",
     "\n",
     "\n",
-    "print(second_response[\"choices\"][0][\"message\"])"
+    "print(second_response.choices[0].message)"
    ]
   },
   {
@@ -581,7 +596,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.10.8"
   },
   "orig_nbformat": 4
  },