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swarmauri_llm_deepinfra

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

Features

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

Installation

# uv
uv add swarmauri_llm_deepinfra

# pip
pip install swarmauri_llm_deepinfra

Usage

from swarmauri_llm_deepinfra import DeepInfraModel
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 = DeepInfraModel()
# 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.

Metadata

Release files for swarmauri_llm_deepinfra 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for swarmauri_llm_deepinfra 0.1.0
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Built distribution (wheel)

Table of built distributions (wheels) for swarmauri_llm_deepinfra 0.1.0
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swarmauri_llm_deepinfra-0.1.0-py3-none-any.whl Python 3 none any Details

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Release files / swarmauri_llm_deepinfra-0.1.0.tar.gz

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Release files / swarmauri_llm_deepinfra-0.1.0-py3-none-any.whl

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