motionify 2025.12.21173502

A new package designed to facilitate the creation and control of animated characters in real-world environments by interpreting user instructions and transforming them into structured action plans. It

motionify

motionify is a lightweight Python package that converts natural‑language descriptions of character behaviors, movements, and interactions into precise, structured action plans. It is built to bridge the gap between textual commands and the data‑driven directives needed by animation or robotics systems—without handling any multimedia content directly.

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✨ Features

• Natural‑language to actions – feed a sentence, get a list of validated directives.
• Pattern‑based verification – ensures output matches a predefined regex pattern.
• Plug‑and‑play LLM – uses ChatLLM7 by default, but any LangChain‑compatible LLM can be supplied.
• Zero‑setup API key handling – automatically reads LLM7_API_KEY from the environment.

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📦 Installation

pip install motionify

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🚀 Quick Start

from motionify import motionify

# Example user instruction
user_input = "Make the robot wave its right hand and take a step forward."

# Call the function (uses default ChatLLM7)
actions = motionify(user_input)

print(actions)
# Output: ['wave right_hand', 'step forward']

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🛠️ Function Signature

def motionify(
    user_input: str,
    api_key: Optional[str] = None,
    llm: Optional[BaseChatModel] = None
) -> List[str]:

Parameter	Type	Description
user_input	str	The natural‑language description to be processed.
api_key	Optional[str]	API key for LLM7. If omitted, the function reads LLM7_API_KEY from the environment or falls back to the default key.
llm	Optional[BaseChatModel]	Your own LangChain LLM instance. When omitted, ChatLLM7 (from langchain_llm7) is used automatically.

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🔧 Using Your Own LLM

You can replace the built‑in ChatLLM7 with any LangChain‑compatible chat model.

OpenAI

from langchain_openai import ChatOpenAI
from motionify import motionify

llm = ChatOpenAI(model="gpt-4o")
actions = motionify(user_input, llm=llm)

Anthropic

from langchain_anthropic import ChatAnthropic
from motionify import motionify

llm = ChatAnthropic(model="claude-3-5-sonnet")
actions = motionify(user_input, llm=llm)

Google Generative AI

from langchain_google_genai import ChatGoogleGenerativeAI
from motionify import motionify

llm = ChatGoogleGenerativeAI(model="gemini-1.5-pro")
actions = motionify(user_input, llm=llm)

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🔑 API Key Management

• Default: The package looks for LLM7_API_KEY in your environment.
• Explicit: Provide it directly to the function: motionify(user_input, api_key="YOUR_KEY").
• Free Tier: The LLM7 free tier offers generous rate limits suitable for most projects.
• Upgrade: Register for a free key at LLM7 token portal for higher limits.

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📬 Support & Issues

If you encounter any problems or have feature requests, please open an issue on GitHub:

👉 https://github.com/chigwell/motionify/issues

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👤 Author

Eugene Evstafev
📧 Email: [e-mail]
🐙 GitHub: chigwell

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📄 License

Distributed under the MIT License. See LICENSE for more information.

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Happy animating!