mllm-prompt-template 1.0.2

A Python template library for Multimodal LLMs that extends string.Template to support image substitution in prompts

MLLM Prompt Template

A Python template library for Multimodal LLMs(MLLMs) that extends Python's string.Template to support image substitution in prompts.

# ❌
from string import Template
template = Template("Extract all text from the image. \n image: $img")
template.safe_substitute(
    img=Image.open("photo.jpg")
)
# ✅
from mllm_prompt_template import Template
template = Template("Extract all text from the image. \n image: $img")
template.safe_substitute(
    img=Image.open("photo.jpg")
)

Installation

pip install mllm-prompt-template

Usage

from mllm_prompt_template import Template
from PIL import Image

# Create template with image placeholders
prompt_template = Template("""
这个人是$name, 这是他的自拍照:
$img
$name很可爱对不对
""")

# Substitute text and image variables
prompt_template.safe_substitute(
    name="co-gy",
    img=Image.open("photo.jpg")
)

# Convert to OpenAI-style message format
messages = prompt_template.to_messages()

# Call MLLM (example with OpenAI-compatible API)
import openai

client = openai.OpenAI(base_url="http://localhost:8000/v1", api_key="EMPTY")

response = client.chat.completions.create(
    model="Qwen3-VL-8B-Instruct",
    messages=messages,
    max_tokens=500
)

print(response.choices[0].message.content)

API

• Template(prompt_template: str) - Create template
• safe_substitute(**kwargs) - Substitute variables (supports strings and PIL Images)
• to_messages() - Convert to OpenAI-style message format

Requirements

• Python >= 3.8
• Pillow >= 9.0.0

License

MIT License