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
PerplexityModeladapter exported fromswarmauri_standard.llms.PerplexityModel.- Compatible with Python 3.10 through 3.12.
Installation
# uv
uv add swarmauri_llm_perplexity
# pip
pip install swarmauri_llm_perplexity
Usage
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.
1 maintainer
Metadata
1 maintainer
Release files for swarmauri_llm_perplexity 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| swarmauri_llm_perplexity-0.1.0.tar.gz | 6.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| swarmauri_llm_perplexity-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.4 kB
Release files / swarmauri_llm_perplexity-0.1.0.tar.gz
| Download URL | swarmauri_llm_perplexity-0.1.0.tar.gz |
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| Size | 6.3 kB |
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uv/0.11.0 {"installer":{"name":"uv","version":"0.11.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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Release files / swarmauri_llm_perplexity-0.1.0-py3-none-any.whl
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| Size | 7.1 kB |
| Tags | Python 3 |
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