swarmauri_llm_whisper

Provider-specific Whisper LLM package for Swarmauri. This package offers direct imports for WhisperLargeModel while keeping implementation parity with swarmauri_standard.

Features

• WhisperLargeModel adapter exported from swarmauri_standard.llms.WhisperLargeModel.
• Compatible with Python 3.10 through 3.12.

Installation

# uv
uv add swarmauri_llm_whisper

# pip
pip install swarmauri_llm_whisper

Usage

from swarmauri_llm_whisper import WhisperLargeModel
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 = WhisperLargeModel()
# 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.