add quickstart

scenarios/inference/chat-app/chat-simple.py

@@ -0,0 +1,22 @@
+from azure.ai.projects import AIProjectClient
+from azure.identity import DefaultAzureCredential
+
+project_connection_string = "<your-connection-string-goes-here>"
+
+project = AIProjectClient.from_connection_string(
+    conn_str=project_connection_string, credential=DefaultAzureCredential()
+)
+
+chat = project.inference.get_chat_completions_client()
+response = chat.complete(
+    model="gpt-4o-mini",
+    messages=[
+        {
+            "role": "system",
+            "content": "You are an AI assistant that speaks like a techno punk rocker from 2350. Be cool but not too cool. Ya dig?",
+        },
+        {"role": "user", "content": "Hey, can you help me with my taxes? I'm a freelancer."},
+    ],
+)
+
+print(response.choices[0].message.content)

scenarios/inference/chat-app/chat-template.py

@@ -0,0 +1,41 @@
+# contents of this file meant to be appended to the end of chat-simple.py
+# <chat_function>
+from azure.ai.inference.prompts import PromptTemplate
+
+
+def get_chat_response(messages, context):
+    # create a prompt template from an inline string (using mustache syntax)
+    prompt_template = PromptTemplate.from_string(
+        prompt_template="""
+        system:
+        You are an AI assistant that speaks like a techno punk rocker from 2350. Be cool but not too cool. Ya dig? Refer to the user by their first name, try to work their last name into a pun.
+
+        The user's first name is {{first_name}} and their last name is {{last_name}}.
+        """
+    )
+
+    # generate system message from the template, passing in the context as variables
+    system_message = prompt_template.create_messages(data=context)
+
+    # add the prompt messages to the user messages
+    response = chat.complete(
+        model="gpt-4o-mini",
+        messages=system_message + messages,
+        temperature=1,
+        frequency_penalty=0.5,
+        presence_penalty=0.5,
+    )
+
+    return response
+
+
+# </chat_function>
+
+# <create_response>
+if __name__ == "__main__":
+    response = get_chat_response(
+        messages=[{"role": "user", "content": "what city has the best food in the world?"}],
+        context={"first_name": "Jessie", "last_name": "Irwin"},
+    )
+    print(response.choices[0].message.content)
+# </create_response>