Metadata-Version: 2.4
Name: swarmauri_llm_perplexity
Version: 0.1.0.dev3
Summary: Swarmauri Perplexity LLM adapters from swarmauri_standard.
License-Expression: Apache-2.0
License-File: LICENSE
Keywords: swarmauri,llm,perplexity,model
Author: Jacob Stewart
Author-email: jacob@swarmauri.com
Requires-Python: >=3.10,<3.13
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Natural Language :: English
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Requires-Dist: swarmauri_base
Requires-Dist: swarmauri_core
Requires-Dist: swarmauri_standard
Description-Content-Type: text/markdown

![Swarmauri Logo](https://github.com/swarmauri/swarmauri-sdk/blob/3d4d1cfa949399d7019ae9d8f296afba773dfb7f/assets/swarmauri.brand.theme.svg)

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---

# swarmauri_llm_perplexity

Provider-specific Perplexity LLM package for Swarmauri. This package offers direct imports for PerplexityModel while keeping implementation parity with `swarmauri_standard`.

## Features

- `PerplexityModel` adapter exported from `swarmauri_standard.llms.PerplexityModel`.
- Compatible with Python 3.10 through 3.12.

## Installation

```bash
# uv
uv add swarmauri_llm_perplexity

# pip
pip install swarmauri_llm_perplexity
```

## Usage

```python
from swarmauri_llm_perplexity import PerplexityModel
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 = PerplexityModel()
# 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.

