Build a chatbot API with conversation memory.
Create contextual chatbot services.
Architecture
API Endpoint → Memory Store → LLM
Implementation
class ChatbotAPI:
def __init__(self):
self.memories = {}
def chat(self, session_id, message):
if session_id not in self.memories:
self.memories[session_id] = []
self.memories[session_id].append({
“role”: “user”, “content”: message
})
response = client.chat.completions.create(
model=”gpt-4″,
messages=self.memories[session_id]
)
return response.choices[0].message.content
Conclusion
Memory enables contextual conversations!