swarmauri_llm_openai

Provider-specific Openai LLM package for Swarmauri. This package offers direct imports for OpenAIAudio, OpenAIAudioTTS, OpenAIModel, OpenAIReasonModel, OpenAIToolModel while keeping implementation parity with swarmauri_standard.

Features

• OpenAIAudio adapter exported from swarmauri_standard.llms.OpenAIAudio.
• OpenAIAudioTTS adapter exported from swarmauri_standard.llms.OpenAIAudioTTS.
• OpenAIModel adapter exported from swarmauri_standard.llms.OpenAIModel.
• OpenAIReasonModel adapter exported from swarmauri_standard.llms.OpenAIReasonModel.
• OpenAIToolModel adapter exported from swarmauri_standard.llms.OpenAIToolModel.
• Compatible with Python 3.10 through 3.12.

Installation

# uv
uv add swarmauri_llm_openai

# pip
pip install swarmauri_llm_openai

Usage

from swarmauri_llm_openai import OpenAIAudio
from swarmauri_llm_openai import OpenAIAudioTTS
from swarmauri_llm_openai import OpenAIModel
from swarmauri_llm_openai import OpenAIReasonModel
from swarmauri_llm_openai import OpenAIToolModel
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 = OpenAIAudio()
# 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.