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9cfe6bcacd
Introduces standard content block format for images, audio, and files.
## Examples
Image from url:
```
{
"type": "image",
"source_type": "url",
"url": "https://path.to.image.png",
}
```
Image, in-line data:
```
{
"type": "image",
"source_type": "base64",
"data": "<base64 string>",
"mime_type": "image/png",
}
```
PDF, in-line data:
```
{
"type": "file",
"source_type": "base64",
"data": "<base64 string>",
"mime_type": "application/pdf",
}
```
File from ID:
```
{
"type": "file",
"source_type": "id",
"id": "file-abc123",
}
```
Plain-text file:
```
{
"type": "file",
"source_type": "text",
"text": "foo bar",
}
```
langchain-openai
This package contains the LangChain integrations for OpenAI through their openai SDK.
Installation and Setup
- Install the LangChain partner package
pip install langchain-openai
- Get an OpenAI api key and set it as an environment variable (
OPENAI_API_KEY)
Chat model
See a usage example.
from langchain_openai import ChatOpenAI
If you are using a model hosted on Azure, you should use different wrapper for that:
from langchain_openai import AzureChatOpenAI
For a more detailed walkthrough of the Azure wrapper, see here
Text Embedding Model
See a usage example
from langchain_openai import OpenAIEmbeddings
If you are using a model hosted on Azure, you should use different wrapper for that:
from langchain_openai import AzureOpenAIEmbeddings
For a more detailed walkthrough of the Azure wrapper, see here
LLM (Legacy)
LLM refers to the legacy text-completion models that preceded chat models. See a usage example.
from langchain_openai import OpenAI
If you are using a model hosted on Azure, you should use different wrapper for that:
from langchain_openai import AzureOpenAI
For a more detailed walkthrough of the Azure wrapper, see here