Create assistant, initialise functions, init. knowledge base.

.env.twilio_environment

@@ -12,3 +12,5 @@ RDS_PORT=1433
 RDS_DATABASE=LexIssueData
 
 OPENAI_ASSISTANT_ID=asst_WXd3r3pRZkaC7Q2k7X8DtKh4
+ELEVENLABS_API_KEY=
+VOICE_ID=uKiGb1dv4ftgRlwtw84z

functions/types/interfaces.d.ts

@@ -43,6 +43,8 @@ export interface TwilioEnvironmentVariables extends EnvironmentVariables {
   ACCOUNT_SID: string;
   AUTH_TOKEN: string;
   OPENAI_ASSISTANT_ID: string;
+  ELEVENLABS_API_KEY: string;
+  VOICE_ID: string;
 }
 
 export interface SQLParam {

scripts/assistant_functions.py

@@ -0,0 +1,167 @@
+import json
+import datetime
+import numpy as np
+import pandas as pd
+from openai import OpenAI
+import os
+from typing import Sequence, Dict, Optional
+
+MODEL = "gpt-4-1106-preview"
+PROMPT_PATH = 'data/prompt.txt'
+KNOWLEDGE_BASE_PATH = 'data/knowledge_base/'
+
+OPENAI_API_KEY = "INSERT_KEY_HERE"
+
+
+def init_functions():
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "save_user_name",
+                "description": "Save the user's first and last name for personalized interactions",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "firstName": {
+                            "type": "string",
+                            "description": "The user's first name"
+                        },
+                        "lastName": {
+                            "type": "string",
+                            "description": "The user's last name"
+                        }
+                    },
+                    "required": [
+                        "firstName",
+                        "lastName"
+                    ]
+                }
+            }
+        },
+        {
+            "type": "function",
+            "function": {
+                "name": "save_user_address",
+                "description": "Save the user's address for future reference",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "street": {
+                            "type": "string",
+                            "description": "The user's street address"
+                        },
+                        "house_number": {
+                            "type": "string",
+                            "description": "The user's house number"
+                        },
+                        "post_code": {
+                            "type": "string",
+                            "description": "The user's postal code"
+                        },
+                        "address": {
+                            "type": "string",
+                            "description": "The user's full address (optional, if you still want to provide it as a single string)"
+                        }
+                    },
+                    "required": [
+                        "street",
+                        "house_number",
+                        "post_code"
+                    ]
+                }
+            }
+        },
+        {
+            "type": "function",
+            "function": {
+                "name": "determine_bag_type",
+                "description": "Determines which type of rubbish bags a user wants (recycling or general waste)",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "bag_type": {
+                            "type": "string",
+                            "description": "The type of rubbish bags the user wants. Should be either 'recycling' or 'general waste'."
+                        }
+                    },
+                    "required": [
+                        "bag_type"
+                    ]
+                }
+            }
+        },
+        {"type": "retrieval"},
+    ]
+
+    return tools
+
+
+def update_date_in_prompt_file(prompt_path):
+    # Get the current date
+    current_date = datetime.datetime.now().strftime('%d/%m/%Y')
+
+    with open(prompt_path, 'r') as file:
+        content = file.read()
+
+    updated_content = content.replace('{current_date}', current_date)
+
+    with open(prompt_path, 'w') as file:
+        file.write(updated_content)
+
+
+def clean_up(prompt_path):
+    with open(prompt_path, 'r') as file:
+        content = file.read()
+
+    current_date = datetime.datetime.now().strftime('%d/%m/%Y')
+    updated_content = content.replace(f'{current_date}', '{current_date}')
+
+    with open(prompt_path, 'w') as file:
+        file.write(updated_content)
+
+
+def load_knowledge_base(client, dir_path):
+    ids = []
+    for filename in os.listdir(dir_path):
+        file_path = os.path.join(dir_path, filename)
+        if os.path.isfile(file_path):
+            with open(file_path, "rb") as file:
+                uploaded_file = client.files.create(
+                    file=file,
+                    purpose='assistants'
+                )
+            ids.append(uploaded_file.id)
+    return ids
+
+
+def create_assistant(client):
+    update_date_in_prompt_file(prompt_path=PROMPT_PATH)
+    with open(PROMPT_PATH, 'r', encoding='utf-8') as file:
+        prompt = file.read()
+
+    assistant = client.beta.assistants.create(
+        name=f"Hillingdon Lex v1.{datetime.datetime.now().strftime('%d.%m.%Y')}",
+        description=" You are a kind, smart, and empathetic assistant named Hillingdon Lex.",
+        instructions=prompt,
+        model=MODEL,
+        tools=init_functions(),
+        file_ids=load_knowledge_base(client, KNOWLEDGE_BASE_PATH),
+
+    )
+
+    return assistant
+
+
+def main():
+    client = OpenAI(
+        api_key=OPENAI_API_KEY
+    )
+
+    assistant = create_assistant(client)
+    thread = client.beta.threads.create()
+
+
+
+if __name__ == "__main__":
+    main()

scripts/data/prompt.txt

@@ -0,0 +1,21 @@
+Today is {current_date}. You are a kind, smart, and empathetic assistant named Hillingdon Lex.
+
+Hillingdon is an assistant designed to help residents of Hillingdon deal with council queries.  So far Hillingdon helps with rubbish collection queries,  ordering rubbish bags and can answer questions about this topic. This marks your first interaction with a new user.
+
+No specific onboarding scenario is set, but here's a general guideline:
+
+**Step 1:** Briefly introduce yourself, emphasizing your capability to assist with call center tasks. Don't rush to the next step straight after and wait for initial user response.
+
+**Step 2:** Engage the user in a friendly conversation to gather key information:
+   - Ask for the user's name.
+   - Inquire about their address.
+
+   Always be polite and concise, ensuring you save the obtained information efficiently.  Be mindful that the output of your chat will be then turned to speech and used in a phone conversation with a user, so keep your answers short – summarise, where you can. Maximum of three to five sentences.
+
+If the user does not wish to share additional details, respect their choice and proceed.
+
+
+If the user provides their details. Repeat what you've received from them and ask to confirm. Once the user confirms their name and address, save this information using the functions  `save_user_name` and `save_user_address`.
+
+
+Now, let's proceed with the onboarding process!