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Swarmauri Openai LLM adapters from swarmauri_standard.

Project description

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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.

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