openai testing

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from openai import OpenAI
client = OpenAI()
tools = [
{
"type": "function",
"function": {
"name": "make_shelling_experiment",
"description": "This function creates a shelling experiment with defined variables that can later take exerimental data",
"parameters": {
"type": "object",
"properties": {
"date": {
"type": "string",
"description": "The datetime of the experiment",
},
"drum-rpm": {
"type": "number",
"description": "The speed of the drum in RPM",
},
"paddle-shaft-rpm": {
"type": "number",
"description": "The speed of the paddle shaft in RPM",
},
"ring-gap": {
"type": "number",
"description": "The gap between the drum and the ring in mm",
},
"tilt-angle": {
"type": "number",
"description": "The angle of the drum in degrees",
},
"moisture-content": {
"type": "number",
"description": "The moisture content of the material in %",
},
"feed-rate": {
"type": "number",
"description": "The rate at which material is fed into the drum in kg/h",
},
},
"required": [
"drum-rpm",
"paddle-shaft-rpm",
"ring-gap",
"tilt-angle",
"moisture-content",
],
},
},
},
{
"type": "function",
"function": {
"name": "take_measurement",
"description": "This function takes a measurement of a shelling experiment for a given output parameter",
"parameters": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The name of the experiment",
},
"value": {
"type": "number",
"description": "The measured value",
},
},
"required": ["name", "value"],
},
},
},
]
prompt = """
Based on the text provided to you by the user, use the provided tools to create a new experiment and ingest the data.
"""
user_prompt = """
7-19-2024
Meyer Exp.
0.290 displacement
6.7% moisture
0.45 Ring Gap
Batch 1
600 paddle
35 drum
Tilt angle 3.5
Input: 33.45
Discharge:
5.84
Throughput: 17.5%
Final Discharge: 5.22
Output 1: 4.16 | 15.9%
Output 2: 5.80 | 22.1%
Output 3: 16.27 | 62%
Loss %: 5.97%
Half Yield Percentage:
Output 1:
50.76
53.70
50.13
54.65
Avg: 52.31%
Output 2:
54
71.31
62.33
122.29
Avg: 77.48%
Output 3:
69.43
61.56
67.27
72.82
Avg: 67.77%
Batch - 2
400 paddle
35 drum
Tilt angle 3.5
Input: 32.2
Discharge:
6.92
6.68
7.28
6.58
6.74
5.82
6
Discharge Throughput: 142.9%
Final Discharge: 5.08
Output 1: 5.86 | 24.2%
Output 2: 5.34 | 22.1%
Output 3: 12.97 | 53.7%
Loss %: 9.2%
Half Yield Percentage:
Output 1:
67.67
69
69.71
62.65
Avg: 67.26%
Outpu 2:
82.88
73.53
82.07
68.48
Avg: 76.74%
Output 3
61.63
70.58
76.61
73.32
Avg: 70.64%
"""
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{"role": "system", "content": prompt},
{"role": "user", "content": user_prompt},
],
)
print(response.choices[0].message.content)