community: Add deprecation warning for GigaChat integration in langchain-community (#28022)

- **Description:** We have released the
[langchain-gigachat](https://github.com/ai-forever/langchain-gigachat?tab=readme-ov-file)
with new GigaChat integration that support's function/tool calling. This
PR deprecated legacy GigaChat class in community package.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
This commit is contained in:
Mikelarg
2024-11-21 00:03:47 +03:00
committed by GitHub
parent 567dc1e422
commit 2901fa20cc
5 changed files with 28 additions and 19 deletions

View File

@@ -8,7 +8,7 @@
"source": [
"# GigaChat\n",
"This notebook shows how to use LangChain with [GigaChat](https://developers.sber.ru/portal/products/gigachat).\n",
"To use you need to install ```gigachat``` python package."
"To use you need to install ```langchain_gigachat``` python package."
]
},
{
@@ -22,7 +22,7 @@
},
"outputs": [],
"source": [
"%pip install --upgrade --quiet gigachat"
"%pip install --upgrade --quiet langchain-gigachat"
]
},
{
@@ -53,20 +53,20 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"from langchain_community.chat_models import GigaChat\n",
"from langchain_gigachat import GigaChat\n",
"\n",
"chat = GigaChat(verify_ssl_certs=False, scope=\"GIGACHAT_API_PERS\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 6,
"metadata": {
"collapsed": false
},

View File

@@ -9,7 +9,7 @@ For more info how to get access to GigaChat [follow here](https://developers.sbe
GigaChat package can be installed via pip from PyPI:
```bash
pip install gigachat
pip install langchain-gigachat
```
## LLMs
@@ -25,7 +25,7 @@ from langchain_community.llms import GigaChat
See a [usage example](/docs/integrations/chat/gigachat).
```python
from langchain_community.chat_models import GigaChat
from langchain_gigachat.chat_models import GigaChat
```
## Embeddings
@@ -33,5 +33,5 @@ from langchain_community.chat_models import GigaChat
See a [usage example](/docs/integrations/text_embedding/gigachat).
```python
from langchain_community.embeddings import GigaChatEmbeddings
from langchain_gigachat.embeddings import GigaChatEmbeddings
```

View File

@@ -15,11 +15,14 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"pycharm": {
"is_executing": true
}
},
"outputs": [],
"source": [
"%pip install --upgrade --quiet gigachat"
"%pip install --upgrade --quiet langchain-gigachat"
]
},
{
@@ -50,13 +53,13 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"from langchain_community.embeddings import GigaChatEmbeddings\n",
"from langchain_gigachat import GigaChatEmbeddings\n",
"\n",
"embeddings = GigaChatEmbeddings(verify_ssl_certs=False, scope=\"GIGACHAT_API_PERS\")"
]
@@ -81,13 +84,7 @@
"outputs": [
{
"data": {
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" -0.14180311560630798,\n",
" -0.6161925792694092,\n",
" -0.17103666067123413,\n",
" 1.2884578704833984]"
]
"text/plain": "[0.8398333191871643,\n -0.14180311560630798,\n -0.6161925792694092,\n -0.17103666067123413,\n 1.2884578704833984]"
},
"execution_count": 8,
"metadata": {},