mymagicpencil-langchain 1.0.3

LangChain tool for generating My Magic Pencil live visual lessons

My Magic Pencil – LangChain Integration

LangChain tool for generating My Magic Pencil live visual lessons (drawing + voice) from text prompts.

Installation

pip install mymagicpencil-langchain

Environment Variables

Variable	Description	Required
MYMAGICPENCIL_API_KEY	Your My Magic Pencil API key	Yes

Quick Start

import os
from mymagicpencil_langchain import GenerateVisualLessonTool

os.environ["MYMAGICPENCIL_API_KEY"] = "your-api-key"

tool = GenerateVisualLessonTool()
result = tool.run("Explain how photosynthesis works")
print(result)

Or pass the API key directly:

tool = GenerateVisualLessonTool(api_key="your-api-key")
result = tool.run("Explain Newton's laws of motion")
print(result)

Parameters

The GenerateVisualLessonTool accepts the following parameters when invoked:

Parameter	Type	Default	Description
prompt	str	(required)	The topic or concept to explain visually
language	str	"en"	Language code (e.g., "en", "es", "fr")
theme	str	"dark"	Visual theme: "dark" or "light"
voice_enabled	bool	True	Whether to include TTS voice output
voice_tone	int	50	Voice tone from 0 to 100
output_type	str	"embed"	Output type: "embed" or "mp4"
drawing_style	str	"default"	Visual drawing style
thinking_level	str	"low"	Level of AI reasoning exposed
age_group	str	"adult"	Target age group

Usage with LangChain Agents

import os
from langchain.agents import initialize_agent, AgentType
from langchain_openai import ChatOpenAI
from mymagicpencil_langchain import GenerateVisualLessonTool

os.environ["MYMAGICPENCIL_API_KEY"] = "your-mmp-api-key"
os.environ["OPENAI_API_KEY"] = "your-openai-api-key"

llm = ChatOpenAI(model="gpt-4", temperature=0)
tools = [GenerateVisualLessonTool()]

agent = initialize_agent(
    tools,
    llm,
    agent=AgentType.OPENAI_FUNCTIONS,
    verbose=True,
)

response = agent.run("Create a visual lesson explaining how black holes form")
print(response)

API Reference

GenerateVisualLessonTool

• Class: mymagicpencil_langchain.GenerateVisualLessonTool
• Inherits: langchain_core.tools.BaseTool
• Constructor Args:
  • api_key (Optional[str]): API key. Falls back to MYMAGICPENCIL_API_KEY env var.
• Methods:
  • _run(prompt, ...) → str: Calls the My Magic Pencil API and returns a result string with the embed URL and session ID.

GenerateVisualLessonInput

• Class: mymagicpencil_langchain.tool.GenerateVisualLessonInput
• Inherits: pydantic.BaseModel
• Purpose: Pydantic schema used for LangChain argument validation.

License

MIT