textpy-llm 0.1.1

Agentic Ability in One Line

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TextPy ── Agentic Ability in One Line

🚀 Core Philosophy

Code as Natural Language Manifestation

Programming <-> Prompting

⚡ Revolutionary Features

• Hybrid Execution: Seamlessly blend LLM-generated code with legacy systems
• Semantic Transpiler: Just write function signatures, and our powerful AIComipler will auto-generate natural language instructions (TextFunc) or code generation instructions (CodeFunc) for your workflow
• Self-Replication: Extend the framework using our @text and @code decorators for easier support of recursive workflows

🛠️ Quick Start

# examples/write_poem.py
from textpy import code, text

# the text/code will auto-generated by AICompiler(Just in Time)
@text
def generate_poem(*, theme: str, style: str) -> str: ...

@code
# text should in center of the SVG, use a white background, add visually striking elements
def create_svg_from_text_with_svgwrite(*, text: str) -> str: ...

@code
def save_svg_to_file(*, svg: str, path: str): ...

# execute this code
poem = generate_poem(theme="Quantum Physics and Romance", style="haiku")
svg = create_svg_from_text_with_svgwrite(text=poem)
save_svg_to_file(svg=svg, path="poem.svg")

pip install textpy-llm
# NOTE: set your api key, api url, and model like @code(api_key="", base_url="", model="")
# or using env, ref: litellm
python examples/write_poem.py

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🗯️ Awesome Example

# this example will summary the paper
# and aswsome! to recursively read all references and summarize them, then generate a relationship diagram in HTML format
cd ./examples
DEEPSEEK_API=xxx ARXIV_ID=<xxxx.xxxx> ./arxiv_search.sh

📌 Join the Revolution

git clone https://github.com/yezhengmao1/TextPy