Create a webhook to connect to OpenAI in Google Cloud Functions

Question content

I am working on connecting openai to google dialogflow cx and am writing my webhook using google cloud functions. I did research and came up with a code, but every time it didn't deploy. Is this not possible with cloud functions since I need to get the user query from dialogflow cx? Or something is missing in the code

My cloud function code: entry_point is webhook

import openai
import json
import requests
from google.cloud import secretmanager

# Initialize the Secret Manager client
client = secretmanager.SecretManagerServiceClient()

# Store the conversation history if necessary
convo = []

def get_secret(secret_name, project_id, version_id='latest'):
    """
    Retrieve a secret from Google Cloud Secret Manager.
    """
    resource_name = f"projects/{project_id}/secrets/{secret_name}/versions/{version_id}"
    try:
        # Access the secret version
        response = client.access_secret_version(request={"name": resource_name})
        # Return the payload of the secret
        return response.payload.data.decode("UTF-8")
    except Exception as e:
        print(f"Error accessing secret '{secret_name}':", e)
        return None

def query_gpt(prompt):
    """
    Query the OpenAI completion endpoint with a prompt.
    """
    body = {
        "model": "text-davinci-003",
        "prompt": prompt,
        "max_tokens": 200,
        "temperature": 0.9,
        "top_p": 1,
        "n": 1,
        "frequency_penalty": 0,
        "presence_penalty": 0.6  
    }
    header = {"Authorization": f"Bearer {get_secret('openai-api-key', 'my-project-id')}"}
    res = requests.post('https://api.openai.com/v1/completions', json=body, headers=header)
    return res.json()

def webhook(request):
    """
    HTTP Cloud Function entry point.
    """
    if request.method != 'POST':
        return ('Only POST method is accepted', 405)

    request_json = request.get_json(silent=True)
    if not request_json or 'text' not in request_json:
        return ('Missing "text" in request', 400)
    
    query = request_json['text']
    convo.append(f'User: {query}')
    convo.append("Addie:")
    prompt = "\n".join(convo)

    response = query_gpt(prompt)
    result = response.get('choices')[0].get('text').strip('\n')
    convo.append(result)
    
    return json.dumps({
        'fulfillment_response': {
            'messages': [{
                'text': {
                    'text': [result],
                    'redactedText': [result]
                },
                'responseType': 'HANDLER_PROMPT',
                'source': 'VIRTUAL_AGENT'
            }]
        }
    })

Correct answer

query_gpt There is an error in the code in the function. You are using the requests library to make post requests to the openai completion endpoint, the openai api requires you to use the openai python library.

def query_gpt(prompt):
    
    openai.api_key = get_secret('openai-api-key', 'my-project-id')
    response = openai.Completion.create(model="text-davinci-003", prompt=prompt, max_tokens=200, temperature=0.9, top_p=1, n=1, frequency_penalty=0, presence_penalty=0.6)
    return response

With these modifications, your code will work properly

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