mirror of
https://github.com/hwchase17/langchain.git
synced 2025-09-11 07:50:47 +00:00
Added GigaChat chat model support (#12201)
- **Description:** Added integration with [GigaChat](https://developers.sber.ru/portal/products/gigachat) language model. - **Twitter handle:** @dvoshansky
This commit is contained in:
Mikelarg
GitHub
114
docs/docs/integrations/chat/gigachat.ipynb
Normal file
114
docs/docs/integrations/chat/gigachat.ipynb
Normal file
@@ -0,0 +1,114 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"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."
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# !pip install gigachat"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"source": [
|
||||
"To get GigaChat credentials you need to [create account](https://developers.sber.ru/studio/login) and [get access to API](https://developers.sber.ru/docs/ru/gigachat/api/integration)\n",
|
||||
"## Example"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"from getpass import getpass\n",
|
||||
"\n",
|
||||
"os.environ['GIGACHAT_CREDENTIALS'] = getpass()"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from langchain.chat_models import GigaChat\n",
|
||||
"\n",
|
||||
"chat = GigaChat(verify_ssl_certs=False)"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 31,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"What do you get when you cross a goat and a skunk? A smelly goat!\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from langchain.schema import SystemMessage, HumanMessage\n",
|
||||
"\n",
|
||||
"messages = [\n",
|
||||
" SystemMessage(\n",
|
||||
" content=\"You are a helpful AI that shares everything you know. Talk in English.\"\n",
|
||||
" ),\n",
|
||||
" HumanMessage(\n",
|
||||
" content=\"Tell me a joke\"\n",
|
||||
" ),\n",
|
||||
"]\n",
|
||||
"\n",
|
||||
"print(chat(messages).content)"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 2
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython2",
|
||||
"version": "2.7.6"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
113
docs/docs/integrations/llms/gigachat.ipynb
Normal file
113
docs/docs/integrations/llms/gigachat.ipynb
Normal file
@@ -0,0 +1,113 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"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."
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# !pip install gigachat"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"source": [
|
||||
"To get GigaChat credentials you need to [create account](https://developers.sber.ru/studio/login) and [get access to API](https://developers.sber.ru/docs/ru/gigachat/api/integration)\n",
|
||||
"## Example"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"from getpass import getpass\n",
|
||||
"\n",
|
||||
"os.environ['GIGACHAT_CREDENTIALS'] = getpass()"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from langchain.llms import GigaChat\n",
|
||||
"\n",
|
||||
"llm = GigaChat(verify_ssl_certs=False)"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"The capital of Russia is Moscow.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from langchain.prompts import PromptTemplate\n",
|
||||
"from langchain.chains import LLMChain\n",
|
||||
"\n",
|
||||
"template = \"What is capital of {country}?\"\n",
|
||||
"\n",
|
||||
"prompt = PromptTemplate(template=template, input_variables=[\"country\"])\n",
|
||||
"\n",
|
||||
"llm_chain = LLMChain(prompt=prompt, llm=llm)\n",
|
||||
"\n",
|
||||
"generated = llm_chain.run(country=\"Russia\")\n",
|
||||
"print(generated)"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 2
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython2",
|
||||
"version": "2.7.6"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
29
docs/docs/integrations/providers/salute_devices.mdx
Normal file
29
docs/docs/integrations/providers/salute_devices.mdx
Normal file
@@ -0,0 +1,29 @@
|
||||
# Salute Devices
|
||||
|
||||
Salute Devices provides GigaChat LLM's models.
|
||||
|
||||
For more info how to get access to GigaChat [follow here](https://developers.sber.ru/docs/ru/gigachat/api/integration).
|
||||
|
||||
## Installation and Setup
|
||||
|
||||
GigaChat package can be installed via pip from PyPI:
|
||||
|
||||
```bash
|
||||
pip install gigachat
|
||||
```
|
||||
|
||||
## LLMs
|
||||
|
||||
See a [usage example](/docs/integrations/llms/gigachat).
|
||||
|
||||
```python
|
||||
from langchain.llms import GigaChat
|
||||
```
|
||||
|
||||
## Chat models
|
||||
|
||||
See a [usage example](/docs/integrations/chat/gigachat).
|
||||
|
||||
```python
|
||||
from langchain.chat_models import GigaChat
|
||||
```
|
||||
Reference in New Issue
Block a user