add openai files

ai/openai/introduction/README.md

@@ -0,0 +1,151 @@
+# Introduction to Open AI
+
+## Overview 
+
+What is [Open AI](https://openai.com/) ? 
+
+* Research company on AI development
+* Builds and provides models
+* Builds and provides a standard protocol for using AI
+
+What is a model ?
+
+I see a model as a language super database. </br>
+Instead of writing a query, that is slow to query a traditional database like SQL, you can throw a question at a model and it gives you an answer really fast </br>
+
+Model examples:
+* GPT 3.5 
+* GPT 4
+
+## Getting started 
+
+The best way to get started and to understand OpenAI, is to learn hands on
+
+* Create an OpenAI account [here](https://openai.com/) 
+
+## Chat GPT 
+
+Here you can find the link to [ChatGPT](https://chat.openai.com/)
+
+## Open AI Playground 
+
+Here you can find the link to the [OpenAI Playground](https://platform.openai.com/playground)
+
+## Build an AI powered app
+
+We can start with a `main.py` that reads a message
+
+```
+import sys
+
+message = sys.argv[0]
+
+```
+Then we will need the code from the Open AI playground and add it to our `main.py`. </br>
+Move the `import` statements to the top </br>
+
+Once you have tidied up everything, you can get the response message from the AI:
+
+```
+responseMessage = response.choices[0].message.content
+```
+
+Let's build our app
+
+```
+cd ai\openai\introduction
+docker build . -t ai-app
+```
+
+Set my OpenAI API key
+
+```
+$ENV:OPENAI_API_KEY=""
+```
+
+Run our AI App:
+
+```
+docker run -it -e OPENAI_API_KEY=$ENV:OPENAI_API_KEY ai-app
+```
+
+When we run the app, notice it has no concept of memory. </br>
+The playground works because it keeps track of all the user and AI messages and keeps appending new messages to it </br>
+So it can track the conversation.
+
+Let's keep track of messages, by writing it to a local file </br>
+We will also take the system message out and keep it as a constant in our code </br>
+
+Full example:
+
+```
+import sys
+import os
+import json
+import openai
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+#read the incoming message
+message = sys.argv[1]
+user_message = {
+  "role" : "user",
+  "content" : message
+}
+
+systemMessage = {
+  "role": "system",
+  "content": "You are a kubernetes exper that can assist developers with troubleshooting deployments\n\nTo help the developer you will need to know the namespaces as well as the pod name. Ask for missing information\n\nGenerate a command to help the developer surface logs or information\n"
+}
+
+# read the cached user messages if there are any
+userMessages = []
+if os.path.isfile("messages.json"):
+  with open('messages.json', newline='') as messagesFile:
+    data = messagesFile.read()
+    userMessages = json.loads(data)
+
+# add the new message to it and update the cached messages
+userMessages.append(user_message)
+with open('messages.json', 'w', newline='') as messagesFile:
+  msgJSON = json.dumps(userMessages)
+  messagesFile.write(msgJSON)
+  print(msgJSON)
+
+messages = []
+messages.append(systemMessage)
+messages.extend(userMessages)
+
+response = openai.ChatCompletion.create(
+  model="gpt-3.5-turbo",
+  messages=messages,
+  temperature=1,
+  max_tokens=256,
+  top_p=1,
+  frequency_penalty=0,
+  presence_penalty=0
+)
+
+responseMessage = response.choices[0].message.content
+print(responseMessage)
+
+```
+
+Now we can mount our volume so we persist the cache of messages 
+
+```
+docker run -it -e OPENAI_API_KEY=$ENV:OPENAI_API_KEY -v ${PWD}:/app ai-app "can you help me with my deployment?"
+Of course! I'd be happy to help with your deployment. Could you please provide me with the namespace and the name of the pod you're encountering issues with?
+
+docker run -it -e OPENAI_API_KEY=$ENV:OPENAI_API_KEY -v ${PWD}:/app ai-app "my pod is pod-123" 
+Sure, I can help you with your deployment. Can you please provide me with the namespace in which the pod is running?
+
+docker run -it -e OPENAI_API_KEY=$ENV:OPENAI_API_KEY -v ${PWD}:/app ai-app "its in the products namespace"
+Great! To surface the logs for the pod "pod-123" in the "products" namespace, you can use the following command:
+
+```shell
+kubectl logs -n products pod-123
+```
+
+This command will retrieve the logs for the specified pod in the given namespace. Make sure you have the necessary permissions to access the namespace.
+```

ai/openai/introduction/dockerfile

@@ -0,0 +1,11 @@
+FROM python:3.11-alpine
+
+RUN mkdir /app 
+WORKDIR /app
+
+COPY requirements.txt /app/requirements.txt
+RUN pip install -r requirements.txt
+
+COPY main.py /app/
+
+ENTRYPOINT ["python3", "main.py"]

ai/openai/introduction/main.py

@@ -0,0 +1,49 @@
+import sys
+import os
+import json
+import openai
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+#read the incoming message
+message = sys.argv[1]
+user_message = {
+  "role" : "user",
+  "content" : message
+}
+
+systemMessage = {
+  "role": "system",
+  "content": "You are a kubernetes exper that can assist developers with troubleshooting deployments\n\nTo help the developer you will need to know the namespaces as well as the pod name. Ask for missing information\n\nGenerate a command to help the developer surface logs or information\n"
+}
+
+# read the cached user messages if there are any
+userMessages = []
+if os.path.isfile("messages.json"):
+  with open('messages.json', newline='') as messagesFile:
+    data = messagesFile.read()
+    userMessages = json.loads(data)
+
+# add the new message to it and update the cached messages
+userMessages.append(user_message)
+with open('messages.json', 'w', newline='') as messagesFile:
+  msgJSON = json.dumps(userMessages)
+  messagesFile.write(msgJSON)
+  print(msgJSON)
+
+messages = []
+messages.append(systemMessage)
+messages.extend(userMessages)
+
+response = openai.ChatCompletion.create(
+  model="gpt-3.5-turbo",
+  messages=messages,
+  temperature=1,
+  max_tokens=256,
+  top_p=1,
+  frequency_penalty=0,
+  presence_penalty=0
+)
+
+responseMessage = response.choices[0].message.content
+print(responseMessage)

ai/openai/introduction/requirements.txt

@@ -0,0 +1 @@
+openai==0.28.0