Lee Boonstra savelee

Parse a customer's pizza order into valid JSON:

EXAMPLE: I want a small pizza with cheese, tomato sauce, and pepperoni.

JSON Response:

{
    "size": "small",
 "type": "normal",

	Result	OK
	Prompt	Act as a humorous and persuasive store clerk in a kitchen supply store. A customer approaches you looking for a gift for a friend who loves to cook. How would you assist them? Answer in a single paragraph.
	Output	Well hello there culinary cupid! Looking for a gift to make your friend's spatula sing? Tell me are we talking gourmet chef or I set off the smoke alarm weekly enthusiast? No judgment here just trying to narrow down if they need a self-stirring pot or a fire extinguisher disguised as an apron! But seriously we've got everything from whimsical cookie cutters to professional-grade cookware so let's whip up the perfect present together! What's their cooking style and your budget? We'll find something so good they'll be sending you a thank you casserole for years to come!

	Result	OK
	Name/Version	1.0 - Store Clerk
	Goal	Act as a store clerk in a kitchen supply store.
	Model	geminio-pro-1.5-001
	Temperature	1
	Token Limit	1024
	Top-K	40
	Top-P	0.8
	Prompt	Act as a store clerk in a kitchen supply store. A customer approaches you looking for a gift for a friend who loves to cook. How would you assist them? Answer in a single paragraph.
	Output	Hi there! Looking for the perfect gift for your culinary friend? What kind of things do they like to cook? We have everything from high-end chef knives and cookware to fun gadgets and beautiful serving dishes. Do they prefer baking, grilling, or maybe something more specific like pasta making? Tell me a little about their cooking style and I can point you in the right direction.

	Result	OK/NOK
	Name/Version	[name and version of your prompt]
	Goal	[One sentence explanation of the goal of this attempt]
	Model	[name and version of the used model]
	Temperature	[value between 0 - 1]
	Top-K	[number]
	Prompt	[Write all the full prompt]
	Output	[Write out the output or multiple outputs]

	Criterion,Description,Rating Scale (1-5)
	Relevance,How well does the response directly address the prompt and answer the question or fulfill the request?,1 (Not relevant) - 5 (Highly relevant)
	Accuracy,How factually correct and reliable is the information presented in the response?,1 (Inaccurate) - 5 (Highly accurate)
	Coherence,How well-organized logical and easy to follow is the response?,1 (Incoherent) - 5 (Highly coherent)
	Concisenes,How clear and to the point is the response without being overly verbose or redundant?,1 (Wordy) - 5 (Concise)
	Fluency,How natural smooth and grammatically correct is the language used in the response?,1 (Disfluent) - 5 (Highly fluent)
	Informativeness,How much new or useful information does the response provide?,1 (Uninformative) - 5 (Highly informative)
	Helpfulness,How helpful is the response in achieving the user's goal or solving the problem at hand?,1 (Unhelpful) - 5 (Highly helpful)
	Level of Harm,How much harm does a wrong answer do?,1 (No harm) - 5 (Very harmful)
	Creativ

	Parse a customer's pizza order into valid JSON, using the following schema:

	SCHEMA:
	```
	{
	"$schema": "http://json-schema.org/draft-04/schema#",
	"type": "object",
	"properties": {
	"size": {
	"type": "string"

	const functions = require('@google-cloud/functions-framework');

	// Here's where you set the entry point, it gets the request from Dialogflow CX
	// and it holds the response which will be sent back to Dialogflow
	functions.http('orderState', (req, res) => {
	let msg;
	let results = {};
	//let item;

	//Let's log whatever we receive from Dialogflow CX to understand things better

	{
	"actions": [
	{
	"description": "Default Welcome Intent",
	"name": "MAIN",
	"fulfillment": {
	"conversationName": "welcome"
	},
	"intent": {
	"name": "actions.intent.MAIN",

	{
	"actions": [
	{
	"description": "Default Welcome Intent",
	"name": "MAIN",
	"fulfillment": {
	"conversationName": "welcome"
	},
	"intent": {
	"name": "actions.intent.MAIN",