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.
- 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
ChatLLM7by default, but any LangChain‑compatible LLM can be supplied. - Zero‑setup API key handling – automatically reads
LLM7_API_KEYfrom the environment.
pip install motionifyfrom 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']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. |
You can replace the built‑in ChatLLM7 with any LangChain‑compatible chat model.
from langchain_openai import ChatOpenAI
from motionify import motionify
llm = ChatOpenAI(model="gpt-4o")
actions = motionify(user_input, llm=llm)from langchain_anthropic import ChatAnthropic
from motionify import motionify
llm = ChatAnthropic(model="claude-3-5-sonnet")
actions = motionify(user_input, llm=llm)from langchain_google_genai import ChatGoogleGenerativeAI
from motionify import motionify
llm = ChatGoogleGenerativeAI(model="gemini-1.5-pro")
actions = motionify(user_input, llm=llm)- Default: The package looks for
LLM7_API_KEYin 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.
If you encounter any problems or have feature requests, please open an issue on GitHub:
👉 https://github.com/chigwell/motionify/issues
Eugene Evstafev
📧 Email: hi@euegne.plus
🐙 GitHub: chigwell
Distributed under the MIT License. See LICENSE for more information.
Happy animating!