darca-llm 0.1.0

LLM Client for chat responses with support for different clients and models.

Modular, backend-agnostic interface for interacting with large language models (LLMs).

This library is part of the darca-* ecosystem and provides a plug-and-play, extensible interface to communicate with LLM providers like OpenAI. It is designed with testability, structure, and future integration in mind.

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Features

• ✅ Unified AIClient interface for all LLMs

• 🔌 OpenAI integration out of the box (GPT-4, GPT-3.5)

• 🧱 Extensible abstract interface (BaseLLMClient) for new providers

• 🧪 Full pytest support with 100% coverage

• 📦 Rich exception handling with structured DarcaException

• 📋 Markdown-aware content formatting

• 🧠 Logging support via darca-log-facility

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Quickstart

1. Install dependencies:

make install

2. Run all quality checks (format, test, docs):

make check

3. Run tests only:

make test

4. Use the client:

from darca_llm import AIClient

ai = AIClient()
response = ai.get_raw_response(
    system="You are a helpful assistant.",
    user="What is a Python decorator?"
)
print(response)

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Documentation

Build and view the docs:

make docs

Open the HTML documentation at:

docs/build/html/index.html

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