prompt-refiner-cb 0.0.1

This package refines and optimizes prompts using a large language model (LLM) powered by https://www.aliyun.com/product/bailian

Prompt Refiner 🗑️

Prompt Refiner is a Python module to refine and optimize prompts for large language models (LLMs) using Alibaba Cloud Bailian. It helps improve clarity, specificity, and overall effectiveness of prompts effortlessly.

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Features

• PromptRefiner.refine(prompt) — Refine any user prompt.
• PromptRefiner.refine_system_prompt() — Refine the internal system prompt.

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Quick Install

pip install prompt_refiner_cb

Note: Requires a valid LLM API key (Aliyun Bailian).

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Usage

from prompt_refiner import PromptRefiner

# Initialize the refiner
refiner = PromptRefiner(api_key="YOUR_LLM_API_KEY")

# Refine a user prompt
user_prompt = "Write a story about a dragon and a princess."
refined_prompt = refiner.refine(user_prompt)
print(refined_prompt)

# Refine the system prompt itself
refined_system = refiner.refine_system_prompt()
print(refined_system)

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Environment Variables

Create a .env file in your project root:

LLM_API_KEY="your_api_key_here"

Pipenv or your environment will automatically load this variable.

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API Reference

PromptRefiner(api_key=None, model="deepseek-r1")

Initialize the refiner. Uses the environment variable LLM_API_KEY if api_key is not provided.

Parameters:

Parameter	Type	Default	Description
api_key	str	None	LLM API key.
model	str	"deepseek-r1"	LLM model to use.

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refine(prompt, system_prompt=None, temperature=0)

Refine a user prompt.

Parameters:

Parameter	Type	Default	Description
prompt	str	-	The text to refine.
system_prompt	str	_SYSTEM_PROMPT	Optional system instructions guiding refinement.
temperature	float	0	Sampling temperature (controls creativity).

Returns: str — The refined prompt.

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refine_system_prompt(temperature=0)

Refines the internal system prompt itself.

Parameters:

Parameter	Type	Default	Description
temperature	float	0	Sampling temperature for refinement.

Returns: str — The refined system prompt.

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License

MIT License