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google-genai, google-vertexai: move to langchain-google (#17899)
These packages have moved to https://github.com/langchain-ai/langchain-google Left tombstone readmes incase anyone ends up at the "Source Code" link from old pypi releases. Can keep these around for a few months.
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# langchain-google-genai | ||
This package has moved! | ||
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This package contains the LangChain integrations for Gemini through their generative-ai SDK. | ||
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## Installation | ||
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```bash | ||
pip install -U langchain-google-genai | ||
``` | ||
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### Image utilities | ||
To use image utility methods, like loading images from GCS urls, install with extras group 'images': | ||
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```bash | ||
pip install -e "langchain-google-genai[images]" | ||
``` | ||
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## Chat Models | ||
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This package contains the `ChatGoogleGenerativeAI` class, which is the recommended way to interface with the Google Gemini series of models. | ||
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To use, install the requirements, and configure your environment. | ||
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```bash | ||
export GOOGLE_API_KEY=your-api-key | ||
``` | ||
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Then initialize | ||
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```python | ||
from langchain_google_genai import ChatGoogleGenerativeAI | ||
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llm = ChatGoogleGenerativeAI(model="gemini-pro") | ||
llm.invoke("Sing a ballad of LangChain.") | ||
``` | ||
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#### Multimodal inputs | ||
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Gemini vision model supports image inputs when providing a single chat message. Example: | ||
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``` | ||
from langchain_core.messages import HumanMessage | ||
from langchain_google_genai import ChatGoogleGenerativeAI | ||
llm = ChatGoogleGenerativeAI(model="gemini-pro-vision") | ||
# example | ||
message = HumanMessage( | ||
content=[ | ||
{ | ||
"type": "text", | ||
"text": "What's in this image?", | ||
}, # You can optionally provide text parts | ||
{"type": "image_url", "image_url": "https://picsum.photos/seed/picsum/200/300"}, | ||
] | ||
) | ||
llm.invoke([message]) | ||
``` | ||
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The value of `image_url` can be any of the following: | ||
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- A public image URL | ||
- An accessible gcs file (e.g., "gcs://path/to/file.png") | ||
- A local file path | ||
- A base64 encoded image (e.g., `data:image/png;base64,abcd124`) | ||
- A PIL image | ||
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## Embeddings | ||
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This package also adds support for google's embeddings models. | ||
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``` | ||
from langchain_google_genai import GoogleGenerativeAIEmbeddings | ||
embeddings = GoogleGenerativeAIEmbeddings(model="models/embedding-001") | ||
embeddings.embed_query("hello, world!") | ||
``` | ||
https://github.com/langchain-ai/langchain-google/tree/main/libs/genai |
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libs/partners/google-genai/langchain_google_genai/__init__.py
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libs/partners/google-genai/langchain_google_genai/_function_utils.py
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