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
DeepInfraModeladapter exported fromswarmauri_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.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| swarmauri_llm_deepinfra-0.1.0.tar.gz | 6.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| swarmauri_llm_deepinfra-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.4 kB
Release files / swarmauri_llm_deepinfra-0.1.0.tar.gz
| Download URL | swarmauri_llm_deepinfra-0.1.0.tar.gz |
|---|---|
| Size | 6.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fea822ece3571f6df6a3ce4d6849b14107fddc82c314dfe5a518cb9825b79013
|
|
BLAKE2b-256 checksum How to use checksums |
a09603cd0005a6f07bdb7acb29ac9865b8e53388a364589ffdf10d0bf06a6d8a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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}
|
Release files / swarmauri_llm_deepinfra-0.1.0-py3-none-any.whl
| Download URL | swarmauri_llm_deepinfra-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
793d95d7e8466f7bca01ef91bb576febbf14ba8cb40a28bdc9186c8d6a7975d5
|
|
BLAKE2b-256 checksum How to use checksums |
db4efae2321fd65ead07a215efad88353b3061a1f4256f169af0aa63432d71d4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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}
|