swarmauri_llm_ai21
Provider-specific Ai21 LLM package for Swarmauri. This package offers direct imports for AI21StudioModel while keeping implementation parity with swarmauri_standard.
Features
AI21StudioModeladapter exported fromswarmauri_standard.llms.AI21StudioModel.- Compatible with Python 3.10 through 3.12.
Installation
# uv
uv add swarmauri_llm_ai21
# pip
pip install swarmauri_llm_ai21
Usage
from swarmauri_llm_ai21 import AI21StudioModel
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 = AI21StudioModel()
# 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_ai21 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_ai21-0.1.0.tar.gz | 6.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| swarmauri_llm_ai21-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.3 kB
Release files / swarmauri_llm_ai21-0.1.0.tar.gz
| Download URL | swarmauri_llm_ai21-0.1.0.tar.gz |
|---|---|
| Size | 6.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c3fb31621f28cdf0084966825e13326f45e5ec77f88d2f215393ac4cf7b8ee18
|
|
BLAKE2b-256 checksum How to use checksums |
6841692a5257357f2c692bab74f829f1e5f0024455fd3974e17d727ded071a27
|
| 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_ai21-0.1.0-py3-none-any.whl
| Download URL | swarmauri_llm_ai21-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
52a96c8bf989f66eb699f842fc92e1667dde13e169ae49526b2fc064a0c444ea
|
|
BLAKE2b-256 checksum How to use checksums |
55d4fe25e9c37fc722c198828677ff3d5febdf2f7c6fed0406c6ddefcfe41296
|
| 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}
|