swarmauri_llm_groq

Provider-specific Groq LLM package for Swarmauri. This package offers direct imports for GroqAIAudio, GroqModel, GroqToolModel, GroqVisionModel while keeping implementation parity with swarmauri_standard.

Features

• GroqAIAudio adapter exported from swarmauri_standard.llms.GroqAIAudio.
• GroqModel adapter exported from swarmauri_standard.llms.GroqModel.
• GroqToolModel adapter exported from swarmauri_standard.llms.GroqToolModel.
• GroqVisionModel adapter exported from swarmauri_standard.llms.GroqVisionModel.
• Compatible with Python 3.10 through 3.12.

Installation

# uv
uv add swarmauri_llm_groq

# pip
pip install swarmauri_llm_groq

Usage

from swarmauri_llm_groq import GroqAIAudio
from swarmauri_llm_groq import GroqModel
from swarmauri_llm_groq import GroqToolModel
from swarmauri_llm_groq import GroqVisionModel
from swarmauri_standard.conversations.Conversation import Conversation
from swarmauri_standard.messages.HumanMessage import HumanMessage

conversation = Conversation()
conversation.add_message(HumanMessage(content="Hello from Swarmauri"))

model = GroqAIAudio()
# Configure provider credentials before making requests.
# result = model.predict(conversation=conversation)

Workflow Notes

• These adapters intentionally mirror the corresponding classes in swarmauri_standard.
• Use the provider package that matches your deployment and credential setup.
• Install only the provider packages you need to keep dependencies minimal.