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Chatbot Builder

$29

Python chatbot framework with intent matching, conversation state, response templates, and context memory.

📁 11 files
JSONMarkdownPythonLLM

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📁 File Structure 11 files

chatbot-builder/ ├── LICENSE ├── README.md ├── examples/ │ ├── basic_usage.py │ └── support_bot.json ├── free-sample.zip ├── guide/ │ ├── 01_features.md │ ├── 02_project-structure.md │ ├── 03_usage-examples.md │ └── 04_license.md ├── index.html └── src/ └── chatbot_builder.py

📖 Documentation Preview README excerpt

Chatbot Builder

Python chatbot framework with intent matching, conversation state, response templates, and context memory. Zero dependencies.

Part of the AI Toolkit collection by [CodeVault](https://ai-toolkit.codevault.dev).

Features

  • Intent matching — Pattern-based and keyword intent detection with confidence scoring
  • Conversation state machine — Finite-state conversation flows with transitions and guards
  • Response templates — Variable-injected response templates with random variation
  • Context memory — Sliding-window context that persists across conversation turns
  • Fallback handling — Configurable fallback responses when no intent matches
  • Conversation history — Full turn-by-turn log with timestamps
  • CLI interface — Interactive terminal chatbot for testing and demos
  • JSON config — Define intents, states, and responses in a JSON file

Quick Start


# Run the interactive chatbot demo
python src/chatbot_builder.py

# Run with a custom config
python src/chatbot_builder.py --config examples/support_bot.json

# Run the example script
python examples/basic_usage.py

Project Structure


chatbot-builder/
├── README.md
├── LICENSE
├── src/
│   └── chatbot_builder.py    # Core chatbot engine (single file, ~300 lines)
└── examples/
    ├── basic_usage.py         # Programmatic usage example
    └── support_bot.json       # Sample chatbot configuration

Configuration Reference

Chatbot config is a JSON object with these keys:

KeyTypeDescription
namestringBot display name
greetingstringOpening message when conversation starts
fallback_responseslist[str]Random responses when no intent matches
intentslist[Intent]Intent definitions (see below)
statesdictState machine transitions (optional)

Intent Object

KeyTypeDescription
namestringUnique intent identifier

... continues with setup instructions, usage examples, and more.

📄 Code Sample .py preview

examples/basic_usage.py#!/usr/bin/env python3 """ Basic usage example for the Chatbot Builder. Demonstrates: - Creating intents programmatically - Running the engine - Accessing conversation history """ import sys from pathlib import Path # Allow running from the examples/ directory sys.path.insert(0, str(Path(__file__).resolve().parent.parent / "src")) from chatbot_builder import ChatbotEngine, Intent, ResponseTemplate def main() -> None: # Define intents with patterns and response templates intents = [ Intent( name="greeting", patterns=[r"\b(hi|hello|hey)\b"], keywords=["hi", "hello", "hey"], responses=[ ResponseTemplate("Hey {user_name}! How can I help?"), ResponseTemplate("Hello! What can I do for you today?"), ], ), Intent( name="status_check", patterns=[r"\b(status|how are you|how's it going)\b"], keywords=["status", "how"], responses=[ ResponseTemplate("All systems operational! What do you need?"), ], ), Intent( name="farewell", patterns=[r"\b(bye|goodbye|see you)\b"],
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