zeta-mlx-langchain
LangChain integration for Zeta MLX platform.
Installation
pip install zeta-mlx-langchain
Features
- ChatModel: LangChain BaseChatModel implementation
- Embeddings: LangChain Embeddings implementation
- Streaming: Async streaming support
Usage
from zeta_mlx.langchain import ChatZetaMLX
# Create chat model
llm = ChatZetaMLX(model="qwen3-8b")
# Use with LangChain
from langchain_core.messages import HumanMessage
response = llm.invoke([HumanMessage(content="Hello!")])
# Streaming
for chunk in llm.stream([HumanMessage(content="Tell me a story")]):
print(chunk.content, end="")
Links
1 maintainer
Metadata
1 maintainer
Release files for zeta-mlx-langchain 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| zeta_mlx_langchain-0.3.2.tar.gz | 5.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| zeta_mlx_langchain-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.9 kB
Release files / zeta_mlx_langchain-0.3.2.tar.gz
| Download URL | zeta_mlx_langchain-0.3.2.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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poetry/2.2.1 CPython/3.14.0 Darwin/25.1.0
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Release files / zeta_mlx_langchain-0.3.2-py3-none-any.whl
| Download URL | zeta_mlx_langchain-0.3.2-py3-none-any.whl |
|---|---|
| Size | 6.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
poetry/2.2.1 CPython/3.14.0 Darwin/25.1.0
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