promptbuilder 0.2.2

Library for building prompts for LLMs

Prompt Builder

Library for building prompts and agents with LLMs.

Installation

From PyPI:

pip install promptbuilder

From source:

git clone https://github.com/kapulkin/promptbuilder.git
cd promptbuilder
pip install -e .

Features

• Prompt templates with variables and content tags
• Structured output with TypeScript-like schema definition
• LLM client with native structured output support and caching option
• Integration with multiple LLM providers through aisuite
• Agents with routing based on tools
• Tools as agent for flexibility and scalability

Quick Start

from promptbuilder.llm_client import LLMClient
from promptbuilder.prompt_builder import PromptBuilder

# Build prompt template
prompt_template = PromptBuilder() \
    .text("What is the capital of ").variable("country").text("?") \
    .build()

# Use with LLM
llm_client = LLMClient(model="your-model", api_key="your-api-key")
response = llm_client.make_request(
    prompt_template.render(country="France")
)
print(response)

See examples for more details.

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a pull request.