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Update app.py
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app.py
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import os
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import json
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from openai import OpenAI
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app = FastAPI()
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# Load
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with open("kb.json") as f:
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kb = json.load(f)
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# Prepare system prompt
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system_prompt = "You are a helpful assistant. Only answer questions based on the following knowledge base:\n\n"
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for question, answer in kb.items():
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system_prompt += f"Q: {question}\nA: {answer}\n\n"
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system_prompt += (
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"If the question is not in the knowledge base, respond with: "
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"'I'm not sure about that.
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)
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#
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client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
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# Set custom base URL if provided, else default to official endpoint
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client.base_url = os.getenv("OPENAI_API_BASE", "https://fast.typegpt.net/v1")
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#
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@app.post("/ask")
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async def ask(
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request
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)
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user_question = data.get("message") or data.get("content") or ""
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if not user_question:
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return {"reply": "Please ask a question."}
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messages = [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content":
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]
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try:
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response = client.chat.completions.create(
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model="gpt-4o-mini",
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messages=messages,
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temperature=0.0,
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max_tokens=200,
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)
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answer = response.choices[0].message.content.strip()
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except Exception as e:
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print(f"OpenAI
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answer = "Sorry, I'm having trouble answering right now."
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import os
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import json
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import httpx
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from fastapi import FastAPI, Request
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from openai import OpenAI
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app = FastAPI()
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# Load knowledge base
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with open("kb.json") as f:
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kb = json.load(f)
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# Prepare system prompt
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system_prompt = "You are a helpful assistant. Only answer questions based on the following knowledge base:\n\n"
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for question, answer in kb.items():
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system_prompt += f"Q: {question}\nA: {answer}\n\n"
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system_prompt += (
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"If the question is not in the knowledge base, respond with: "
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"'I'm not sure about that. I've transferred you to a human agent.'"
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)
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# OpenAI client
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client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
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client.base_url = os.getenv("OPENAI_API_BASE", "https://fast.typegpt.net/v1")
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# Track conversations transferred
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transferred_conversations = set()
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# Chatwoot configs
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CHATWOOT_BASE_URL = os.getenv("CHATWOOT_BASE_URL") # e.g., https://app.chatwoot.com
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CHATWOOT_API_TOKEN = os.getenv("CHATWOOT_API_TOKEN") # from profile
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CHATWOOT_AGENT_ID = os.getenv("CHATWOOT_AGENT_ID") # numeric ID of your agent
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@app.post("/ask")
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async def ask(request: Request):
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payload = await request.json()
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user_msg = payload.get("content") or payload.get("message") or ""
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conv_id = payload.get("conversation", {}).get("id")
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inbox_id = payload.get("conversation", {}).get("inbox_id")
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if not user_msg or not conv_id:
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return {"status": "ignored"}
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if str(conv_id) in transferred_conversations:
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return {"status": "already transferred"}
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# Compose OpenAI prompt
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messages = [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": user_msg},
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]
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try:
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response = client.chat.completions.create(
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model="gpt-4o-mini",
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messages=messages,
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temperature=0.0,
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max_tokens=200,
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)
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answer = response.choices[0].message.content.strip()
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except Exception as e:
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print(f"OpenAI error: {e}")
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answer = "Sorry, I'm having trouble answering right now."
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# If fallback response, stop future replies
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if "transferred you to a human agent" in answer:
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transferred_conversations.add(str(conv_id))
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# Send reply using your agent
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await send_chatwoot_reply(
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conversation_id=conv_id,
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message=answer,
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agent_id=CHATWOOT_AGENT_ID,
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inbox_id=inbox_id
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)
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return {"status": "replied"}
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async def send_chatwoot_reply(conversation_id, message, agent_id, inbox_id):
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url = f"{CHATWOOT_BASE_URL}/api/v1/conversations/{conversation_id}/messages"
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headers = {
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"Content-Type": "application/json",
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"api_access_token": CHATWOOT_API_TOKEN
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}
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payload = {
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"content": message,
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"message_type": "outgoing",
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"private": False,
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"sender_type": "AgentBot",
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"sender_id": agent_id,
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"inbox_id": inbox_id
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}
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async with httpx.AsyncClient() as client:
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await client.post(url, json=payload, headers=headers)
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