swarmauri_llm_cerebras
Provider-specific Cerebras LLM package for Swarmauri. This package offers direct imports for CerebrasModel while keeping implementation parity with swarmauri_standard.
Features
CerebrasModeladapter exported fromswarmauri_standard.llms.CerebrasModel.- Compatible with Python 3.10 through 3.12.
Installation
# uv
uv add swarmauri_llm_cerebras
# pip
pip install swarmauri_llm_cerebras
Usage
from swarmauri_llm_cerebras import CerebrasModel
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 = CerebrasModel()
# 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_cerebras 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_cerebras-0.1.0.tar.gz | 6.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| swarmauri_llm_cerebras-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.3 kB
Release files / swarmauri_llm_cerebras-0.1.0.tar.gz
| Download URL | swarmauri_llm_cerebras-0.1.0.tar.gz |
|---|---|
| Size | 6.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cfa66834a3898f270c7babda17b0e2f3f4443faf30f1e19bbd5115cfb76cb5aa
|
|
BLAKE2b-256 checksum How to use checksums |
a37dfe3d85e35c5b6ac671811baacdb0372baf394a936d0efe988df3a34aadfd
|
| 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_cerebras-0.1.0-py3-none-any.whl
| Download URL | swarmauri_llm_cerebras-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
656d7faa97a365a89411619c49b20ebbcdabdae79af7161d61d03a0a56f14374
|
|
BLAKE2b-256 checksum How to use checksums |
49451884aa9c17076d08c88d38097e20d576bdd2316dae3843bd4b53822f17dc
|
| 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}
|
