Logan/readme update for genai (#18059)

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

-# LlamaIndex Llms Integration: Gemini
+# LlamaIndex Llms Integration: Google GenAI
 
 ## Installation
 
 1. Install the required Python packages:
 
    ```bash
-   %pip install llama-index-llms-genai
-   !pip install -q llama-index google-genai
+   %pip install llama-index-llms-google-genai
    ```
 
 2. Set the Google API key as an environment variable:
@@ -22,9 +21,10 @@
 To generate a poem using the Gemini model, use the following code:
 
 ```python
-from llama_index.llms.genai import Gemini
+from llama_index.llms.google_genai import GoogleGenAI
 
-resp = Gemini().complete("Write a poem about a magic backpack")
+llm = GoogleGenAI(model="gemini-2.0-flash")
+resp = llm.complete("Write a poem about a magic backpack")
 print(resp)
 ```
 
@@ -34,7 +34,7 @@ To simulate a conversation, send a list of messages:
 
 ```python
 from llama_index.core.llms import ChatMessage
-from llama_index.llms.genai import Gemini
+from llama_index.llms.google_genai import GoogleGenAI
 
 messages = [
     ChatMessage(role="user", content="Hello friend!"),
@@ -43,7 +43,9 @@ messages = [
         role="user", content="Help me decide what to have for dinner."
     ),
 ]
-resp = Gemini().chat(messages)
+
+llm = GoogleGenAI(model="gemini-2.0-flash")
+resp = llm.chat(messages)
 print(resp)
 ```
 
@@ -52,9 +54,9 @@ print(resp)
 To stream content responses in real-time:
 
 ```python
-from llama_index.llms.genai import Gemini
+from llama_index.llms.google_genai import GoogleGenAI
 
-llm = Gemini()
+llm = GoogleGenAI(model="gemini-2.0-flash")
 resp = llm.stream_complete(
     "The story of Sourcrust, the bread creature, is really interesting. It all started when..."
 )
@@ -65,10 +67,10 @@ for r in resp:
 To stream chat responses:
 
 ```python
-from llama_index.llms.genai import Gemini
 from llama_index.core.llms import ChatMessage
+from llama_index.llms.google_genai import GoogleGenAI
 
-llm = Gemini()
+llm = GoogleGenAI(model="gemini-2.0-flash")
 messages = [
     ChatMessage(role="user", content="Hello friend!"),
     ChatMessage(role="assistant", content="Yarr what is shakin' matey?"),
@@ -84,9 +86,9 @@ resp = llm.stream_chat(messages)
 To use a specific model, you can configure it like this:
 
 ```python
-from llama_index.llms.genai import Gemini
+from llama_index.llms.google_genai import GoogleGenAI
 
-llm = Gemini(model="models/gemini-pro")
+llm = GoogleGenAI(model="models/gemini-pro")
 resp = llm.complete("Write a short, but joyous, ode to LlamaIndex")
 print(resp)
 ```
@@ -96,9 +98,9 @@ print(resp)
 To use the asynchronous completion API:
 
 ```python
-from llama_index.llms.genai import Gemini
+from llama_index.llms.google_genai import GoogleGenAI
 
-llm = Gemini()
+llm = GoogleGenAI(model="models/gemini-pro")
 resp = await llm.acomplete("Llamas are famous for ")
 print(resp)
 ```

llama-index-integrations/llms/llama-index-llms-google-genai/pyproject.toml

@@ -27,7 +27,7 @@ exclude = ["**/BUILD"]
 license = "MIT"
 name = "llama-index-llms-google-genai"
 readme = "README.md"
-version = "0.1.0"
+version = "0.1.0.post1"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"