Yanked
This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 1.1.1 instead.
Reason given by maintainers: old author
🦜️🔗 langchain-deepseek
Install
- Install from source (Recommend)
cd langchain-deepseek
pip install -e .
- Install from PyPI
pip install langchain-deepseek
Quick Start
- All the code can be found in the
examples - Set DeepSeek API key in environment if using DeepSeek models:
export DEEPSEEK_API_KEY="sk-...". - Maybe you can try loading environment variables like this. Create a new
.envfile
DEEPSEEK_API_KEY="sk-..."
from dotenv import load_dotenv, find_dotenv
load_dotenv(find_dotenv(), override=True)
ChatDeepSeek class exposes chat models from DeepSeek.
from langchain_deepseek import ChatDeepSeek
llm = ChatDeepSeek(model="deepseek-chat")
llm.invoke("Sing a ballad of LangChain.")
Metadata
Release files for langchain-deepseek 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| langchain_deepseek-0.0.3.tar.gz | 6.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| langchain_deepseek-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.4 kB
Release files / langchain_deepseek-0.0.3.tar.gz
| Download URL | langchain_deepseek-0.0.3.tar.gz |
|---|---|
| Size | 6.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
poetry/2.0.1 CPython/3.9.21 Linux/5.15.167.4-microsoft-standard-WSL2
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Release files / langchain_deepseek-0.0.3-py3-none-any.whl
| Download URL | langchain_deepseek-0.0.3-py3-none-any.whl |
|---|---|
| Size | 8.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.0.1 CPython/3.9.21 Linux/5.15.167.4-microsoft-standard-WSL2
|