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docs: standardize vertexai params (#20167)

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Related to #20085

Requires https://github.com/langchain-ai/langchain-google/pull/121
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Bagatur 2024-05-01 11:42:18 -04:00 committed by GitHub
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3 changed files with 9 additions and 13 deletions
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8
cookbook/Multi_modal_RAG_google.ipynb
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@ -185,7 +185,7 @@
" )\n",
" # Text summary chain\n",
" model = VertexAI(\n",
" temperature=0, model_name=\"gemini-pro\", max_output_tokens=1024\n",
" temperature=0, model_name=\"gemini-pro\", max_tokens=1024\n",
" ).with_fallbacks([empty_response])\n",
" summarize_chain = {\"element\": lambda x: x} | prompt | model | StrOutputParser()\n",
"\n",
@ -254,7 +254,7 @@
"\n",
"def image_summarize(img_base64, prompt):\n",
" \"\"\"Make image summary\"\"\"\n",
" model = ChatVertexAI(model_name=\"gemini-pro-vision\", max_output_tokens=1024)\n",
" model = ChatVertexAI(model=\"gemini-pro-vision\", max_tokens=1024)\n",
"\n",
" msg = model.invoke(\n",
" [\n",
@ -553,9 +553,7 @@
" \"\"\"\n",
"\n",
" # Multi-modal LLM\n",
" model = ChatVertexAI(\n",
" temperature=0, model_name=\"gemini-pro-vision\", max_output_tokens=1024\n",
" )\n",
" model = ChatVertexAI(temperature=0, model_name=\"gemini-pro-vision\", max_tokens=1024)\n",
"\n",
" # RAG pipeline\n",
" chain = (\n",

10
docs/docs/integrations/chat/google_vertex_ai_palm.ipynb
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@ -114,7 +114,7 @@
"human = \"Translate this sentence from English to French. I love programming.\"\n",
"prompt = ChatPromptTemplate.from_messages([(\"system\", system), (\"human\", human)])\n",
"\n",
"chat = ChatVertexAI(model_name=\"gemini-pro\", convert_system_message_to_human=True)\n",
"chat = ChatVertexAI(model=\"gemini-pro\", convert_system_message_to_human=True)\n",
"\n",
"chain = prompt | chat\n",
"chain.invoke({})"
@ -233,9 +233,7 @@
}
],
"source": [
"chat = ChatVertexAI(\n",
" model_name=\"codechat-bison\", max_output_tokens=1000, temperature=0.5\n",
")\n",
"chat = ChatVertexAI(model=\"codechat-bison\", max_tokens=1000, temperature=0.5)\n",
"\n",
"message = chat.invoke(\"Write a Python function generating all prime numbers\")\n",
"print(message.content)"
@ -399,7 +397,7 @@
" location: str = Field(..., description=\"The city and state, e.g. San Francisco, CA\")\n",
"\n",
"\n",
"llm = ChatVertexAI(model_name=\"gemini-pro\", temperature=0)\n",
"llm = ChatVertexAI(model=\"gemini-pro\", temperature=0)\n",
"llm_with_tools = llm.bind_tools([GetWeather])\n",
"ai_msg = llm_with_tools.invoke(\n",
" \"what is the weather like in San Francisco\",\n",
@ -551,7 +549,7 @@
"human = \"{text}\"\n",
"prompt = ChatPromptTemplate.from_messages([(\"system\", system), (\"human\", human)])\n",
"\n",
"chat = ChatVertexAI(model_name=\"chat-bison\", max_output_tokens=1000, temperature=0.5)\n",
"chat = ChatVertexAI(model=\"chat-bison\", max_tokens=1000, temperature=0.5)\n",
"chain = prompt | chat\n",
"\n",
"asyncio.run(\n",

4
docs/docs/integrations/llms/google_vertex_ai_palm.ipynb
View File

@ -403,7 +403,7 @@
}
],
"source": [
"llm = VertexAI(model_name=\"code-bison\", max_output_tokens=1000, temperature=0.3)\n",
"llm = VertexAI(model_name=\"code-bison\", max_tokens=1000, temperature=0.3)\n",
"question = \"Write a python function that checks if a string is a valid email address\"\n",
"print(model.invoke(question))"
]
@ -439,7 +439,7 @@
"from langchain_core.messages import HumanMessage\n",
"from langchain_google_vertexai import ChatVertexAI\n",
"\n",
"llm = ChatVertexAI(model_name=\"gemini-pro-vision\")\n",
"llm = ChatVertexAI(model=\"gemini-pro-vision\")\n",
"\n",
"image_message = {\n",
" \"type\": \"image_url\",\n",