Use GenAI package for google (#17939)

docs/docs/examples/llm/gemini.ipynb

@@ -18,6 +18,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "**NOTE:** Gemini has largely been replaced by Google GenAI. Visit the [Google GenAI page](https://docs.llamaindex.ai/en/stable/examples/llm/google_genai/) for the latest examples and documentation.\n",
+    "\n",
     "In this notebook, we show how to use the Gemini text models from Google in LlamaIndex. Check out the [Gemini site](https://ai.google.dev/) or the [announcement](https://deepmind.google/technologies/gemini/).\n",
     "\n",
     "If you're opening this Notebook on colab, you will need to install LlamaIndex 🦙 and the Gemini Python SDK."

docs/docs/examples/llm/vertex.ipynb

@@ -6,6 +6,9 @@
    "metadata": {},
    "source": [
     "# Vertex AI\n",
+    "\n",
+    "**NOTE:** Vertex has largely been replaced by Google GenAI, which supports the same functionality from Vertex using the `google-genai` package. Visit the [Google GenAI page](https://docs.llamaindex.ai/en/stable/examples/llm/google_genai/) for the latest examples and documentation.\n",
+    "\n",
     "## Installing Vertex AI \n",
     "To Install Vertex AI you need to follow the following steps\n",
     "* Install Vertex Cloud SDK (https://googleapis.dev/python/aiplatform/latest/index.html)\n",

llama-index-integrations/llms/llama-index-llms-gemini/README.md

@@ -1,5 +1,7 @@
 # LlamaIndex Llms Integration: Gemini
 
+**NOTE:** Gemini has largely been replaced by Google GenAI. Visit the [Google GenAI page](https://docs.llamaindex.ai/en/stable/examples/llm/google_genai/) for the latest examples and documentation.
+
 ## Installation
 
 1. Install the required Python packages:

llama-index-integrations/llms/llama-index-llms-google-genai/.gitignore

@@ -0,0 +1,153 @@
+llama_index/_static
+.DS_Store
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+bin/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+etc/
+include/
+lib/
+lib64/
+parts/
+sdist/
+share/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+.ruff_cache
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+notebooks/
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+pyvenv.cfg
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# Jetbrains
+.idea
+modules/
+*.swp
+
+# VsCode
+.vscode
+
+# pipenv
+Pipfile
+Pipfile.lock
+
+# pyright
+pyrightconfig.json

llama-index-integrations/llms/llama-index-llms-google-genai/BUILD

@@ -0,0 +1 @@
+poetry_requirements(name="poetry", module_mapping={"google-genai": ["google"]})

llama-index-integrations/llms/llama-index-llms-google-genai/CHANGELOG.md

@@ -0,0 +1 @@
+# CHANGELOG — llama-index-llms-genai

llama-index-integrations/llms/llama-index-llms-google-genai/Makefile

@@ -0,0 +1,17 @@
+GIT_ROOT ?= $(shell git rev-parse --show-toplevel)
+
+help:	## Show all Makefile targets.
+	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[33m%-30s\033[0m %s\n", $$1, $$2}'
+
+format:	## Run code autoformatters (black).
+	pre-commit install
+	git ls-files | xargs pre-commit run black --files
+
+lint:	## Run linters: pre-commit (black, ruff, codespell) and mypy
+	pre-commit install && git ls-files | xargs pre-commit run --show-diff-on-failure --files
+
+test:	## Run tests via pytest.
+	pytest tests
+
+watch-docs:	## Build and watch documentation.
+	sphinx-autobuild docs/ docs/_build/html --open-browser --watch $(GIT_ROOT)/llama_index/

llama-index-integrations/llms/llama-index-llms-google-genai/README.md

@@ -0,0 +1,112 @@
+# LlamaIndex Llms Integration: Gemini
+
+## Installation
+
+1. Install the required Python packages:
+
+   ```bash
+   %pip install llama-index-llms-genai
+   !pip install -q llama-index google-genai
+   ```
+
+2. Set the Google API key as an environment variable:
+
+   ```bash
+   %env GOOGLE_API_KEY=your_api_key_here
+   ```
+
+## Usage
+
+### Basic Content Generation
+
+To generate a poem using the Gemini model, use the following code:
+
+```python
+from llama_index.llms.genai import Gemini
+
+resp = Gemini().complete("Write a poem about a magic backpack")
+print(resp)
+```
+
+### Chat with Messages
+
+To simulate a conversation, send a list of messages:
+
+```python
+from llama_index.core.llms import ChatMessage
+from llama_index.llms.genai import Gemini
+
+messages = [
+    ChatMessage(role="user", content="Hello friend!"),
+    ChatMessage(role="assistant", content="Yarr what is shakin' matey?"),
+    ChatMessage(
+        role="user", content="Help me decide what to have for dinner."
+    ),
+]
+resp = Gemini().chat(messages)
+print(resp)
+```
+
+### Streaming Responses
+
+To stream content responses in real-time:
+
+```python
+from llama_index.llms.genai import Gemini
+
+llm = Gemini()
+resp = llm.stream_complete(
+    "The story of Sourcrust, the bread creature, is really interesting. It all started when..."
+)
+for r in resp:
+    print(r.text, end="")
+```
+
+To stream chat responses:
+
+```python
+from llama_index.llms.genai import Gemini
+from llama_index.core.llms import ChatMessage
+
+llm = Gemini()
+messages = [
+    ChatMessage(role="user", content="Hello friend!"),
+    ChatMessage(role="assistant", content="Yarr what is shakin' matey?"),
+    ChatMessage(
+        role="user", content="Help me decide what to have for dinner."
+    ),
+]
+resp = llm.stream_chat(messages)
+```
+
+### Specific Model Usage
+
+To use a specific model, you can configure it like this:
+
+```python
+from llama_index.llms.genai import Gemini
+
+llm = Gemini(model="models/gemini-pro")
+resp = llm.complete("Write a short, but joyous, ode to LlamaIndex")
+print(resp)
+```
+
+### Asynchronous API
+
+To use the asynchronous completion API:
+
+```python
+from llama_index.llms.genai import Gemini
+
+llm = Gemini()
+resp = await llm.acomplete("Llamas are famous for ")
+print(resp)
+```
+
+For asynchronous streaming of responses:
+
+```python
+resp = await llm.astream_complete("Llamas are famous for ")
+async for chunk in resp:
+    print(chunk.text, end="")
+```

llama-index-integrations/llms/llama-index-llms-google-genai/llama_index/llms/google_genai/BUILD

@@ -0,0 +1,6 @@
+python_sources()
+
+resource(
+    name="py_typed",
+    source="py.typed",
+)

llama-index-integrations/llms/llama-index-llms-google-genai/llama_index/llms/google_genai/__init__.py

@@ -0,0 +1,3 @@
+from llama_index.llms.google_genai.base import GoogleGenAI
+
+__all__ = ["GoogleGenAI"]