73b1a0feda
- Python FastAPI backend (chatbot-api/) with Claude Sonnet 4.6, prompt injection protection, rate limiting (30 msg/session), off-topic filtering, Redis session storage - Rocket.Chat integration for live monitoring and human takeover - Lead capture via n8n webhook - React chat widget: floating bubble, auto-greeting after 30s, glassmorphism chat window, mobile responsive, lazy loaded, Mixpanel analytics - Nginx proxy /api/chat → chatbot-api:8000 - Docker: chatbot-api + Redis services added to docker-compose Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
29 lines
680 B
Python
29 lines
680 B
Python
from pydantic import BaseModel, Field
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class ChatRequest(BaseModel):
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session_id: str = Field(..., min_length=1, max_length=64)
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message: str = Field(..., min_length=1, max_length=500)
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page_context: str = Field(default="/", max_length=200)
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class ChatResponse(BaseModel):
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reply: str
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sender: str = "bot" # "bot" | "human"
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session_id: str
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message_count: int
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rate_limited: bool = False
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class LeadData(BaseModel):
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name: str = ""
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email: str = ""
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company: str = ""
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need: str = ""
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class RocketChatWebhook(BaseModel):
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token: str = ""
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channel_id: str = ""
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user_name: str = ""
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text: str = ""
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