Metadata-Version: 2.1
Name: langchain-valthera
Version: 0.1.0
Summary: An integration package connecting Valthera and LangChain
Home-page: https://github.com/langchain-ai/langchain
License: MIT
Requires-Python: >=3.9,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: langchain-core (>=0.3.15,<0.4.0)
Requires-Dist: langchain-openai (>=0.3.7,<0.4.0)
Requires-Dist: langchain-tests (>=0.3.12,<0.4.0)
Requires-Dist: openai (>=1.65.2,<2.0.0)
Requires-Dist: pytest (>=8.3.5,<9.0.0)
Requires-Dist: valthera (>=0.1.2,<0.2.0)
Project-URL: Repository, https://github.com/langchain-ai/langchain
Project-URL: Release Notes, https://github.com/langchain-ai/langchain/releases?q=tag%3A%22valthera%3D%3D0%22&expanded=true
Project-URL: Source Code, https://github.com/langchain-ai/langchain/tree/master/libs/partners/valthera
Description-Content-Type: text/markdown

# langchain-valthera

This package contains the LangChain integration with Valthera

## Installation

```bash
pip install -U langchain-valthera
```

And you should configure credentials by setting the following environment variables:

* TODO: fill this out

## Chat Models

`ChatValthera` class exposes chat models from Valthera.

```python
from langchain_valthera import ChatValthera

llm = ChatValthera()
llm.invoke("Sing a ballad of LangChain.")
```

## Embeddings

`ValtheraEmbeddings` class exposes embeddings from Valthera.

```python
from langchain_valthera import ValtheraEmbeddings

embeddings = ValtheraEmbeddings()
embeddings.embed_query("What is the meaning of life?")
```

## LLMs
`ValtheraLLM` class exposes LLMs from Valthera.

```python
from langchain_valthera import ValtheraLLM

llm = ValtheraLLM()
llm.invoke("The meaning of life is")
```

