wyn-agent-s 0.1.2

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🤖 WYN Agent-S

WYN Agent-S is an agentic framework that seamlessly integrates a built-in router, intent classifier, and dependency resolver to enable conversational AI with external API interactions. Designed with modularity and extensibility in mind, it simplifies building intelligent chatbots and assistants with structured, goal-driven behavior.

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📦 Installation

Install the package from PyPI:

pip install wyn-agent-s

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🚀 Quick Start

Here's how to set up and start chatting with Agent_S in a Colab notebook:

from google.colab import userdata
OPENAI_API_KEY = userdata.get('OPENAI_API_KEY')
SERPAPI_API_KEY = userdata.get('SERPAPI_API_KEY')

from wyn_agent_s.main import Agent_S

# Initialize the agent
agent = Agent_S(
    openai_api_key=OPENAI_API_KEY,
    serpapi_key=SERPAPI_API_KEY
)

# Start chat session
agent.start_chat()

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💬 Sample Interaction

👋 Welcome! Press 'EXIT' to quit the chat at any time.
👤 User: how are you?
🤖 Bot Response: As an artificial intelligence, I don't have feelings, but I'm here and ready to help you. How can I assist you today?
👀 No API call found in the event stream. Exiting.

👤 User: I want to do a google search
Match found for trigger: 'google search'
👀 Intent detected for API call: google_search
Please provide engine: Google
Please provide query: today's weather in New York
Please provide location: New York, NY
Please provide num: 3

Run google search API using:
query=today's weather in New York,
location=New York, NY

👀 Results:
| Title | Link | Snippet |
| :--- | :--- | :--- |
| Weather Forecast and Conditions for New York City, NY | [Link](https://weather.com/weather/today/l/...) | Occasional rain likely to continue for the next several hours. |
| New York, NY Weather Forecast | [Link](https://www.accuweather.com/en/us/new-york/...) | 10-Day Weather Forecast ... |
| New York - BBC Weather | [Link](https://www.bbc.com/weather/...) | Day by day forecast ... |

👤 User: EXIT
👋 Thanks for chatting! Have a great day! 🌟

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🧠 Key Features

• 🧭 Built-in Router: Dynamically selects the correct function based on user intent.
• 🎯 Intent Classifier: Detects user goals using natural language prompts.
• 🧩 Dependency Resolver: Gathers required parameters for API calls through dialogue.
• 📑 Modular Design: Clean separation between core logic, helpers, and API definitions.
• 🧪 Test Suite: Includes unit tests for framework robustness.

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🗂️ Project Structure

wyn-agent-s/
├── wyn_agent_s/
│   ├── __init__.py
│   ├── main.py            # Core Agent_S logic
│   ├── helper.py          # Utility functions
│   ├── list_of_apis.py    # Registered APIs and triggers
│   └── metadata.json      # API metadata config
├── tests/
│   ├── __init__.py
│   └── test.py            # Unit tests
├── dist/                  # Distribution artifacts
├── LICENSE
├── pyproject.toml         # Poetry project config
└── README.md              # This file

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🧪 Run Tests

To run unit tests:

python -m unittest discover tests

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📜 License

This project is licensed under the terms of the MIT License.

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🙌 Contributing

Contributions are welcome! Please fork the repo and submit a pull request.

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🔗 Links

• PyPI Package
• GitHub Repo