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Backport PR #1417 on branch 2.x (Add VertexAI model provider) #1421

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Merged
merged 7 commits into from
Jul 21, 2025
Merged

Backport PR #1417 on branch 2.x (Add VertexAI model provider) #1421

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e4c624e
Backport PR #1417: Add VertexAI model provider
anthonyhungnguyen Jul 18, 2025
962dfa5
add cohere version ceiling, porting fix from #1412
dlqqq Jul 18, 2025
66f9a62
add cohere version floor
dlqqq Jul 21, 2025
31169dc
bump cohere version floor
dlqqq Jul 21, 2025
bd7f517
remove hard dep on langchain_google_vertexai
dlqqq Jul 21, 2025
eaf7f54
add version floors to langchain_aws and langchain_cohere
dlqqq Jul 21, 2025
5351cb9
loosen cohere version floor to match langchain_cohere>=0.3
dlqqq Jul 21, 2025
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38 changes: 38 additions & 0 deletions packages/jupyter-ai-magics/jupyter_ai_magics/partner_providers/vertexai.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,38 @@
from jupyter_ai_magics.base_provider import BaseProvider
from langchain_google_vertexai import VertexAI, VertexAIEmbeddings


class VertexAIProvider(BaseProvider, VertexAI):
id = "vertexai"
name = "Vertex AI"
models = [
"gemini-2.5-pro",
"gemini-2.5-flash",
]
model_id_key = "model"
auth_strategy = None
pypi_package_deps = ["langchain-google-vertexai"]
help = (
"To use Vertex AI Generative AI you must have the langchain-google-vertexai Python package installed and either:\n\n"
"- Have credentials configured for your environment (gcloud, workload identity, etc...)\n"
"- Store the path to a service account JSON file as the GOOGLE_APPLICATION_CREDENTIALS environment variable\n\n"
"This codebase uses the google.auth library which first looks for the application credentials variable mentioned above, and then looks for system-level auth. "
"For more information, see the [Vertex AI authentication documentation](https://python.langchain.com/docs/integrations/llms/google_vertex_ai_palm/)."
)

class VertexAIEmbeddingsProvider(BaseProvider, VertexAIEmbeddings):
id = "vertexai"
name = "Vertex AI"
models = [
"text-embedding-004",
]
model_id_key = "model"
auth_strategy = None
pypi_package_deps = ["langchain-google-vertexai"]
help = (
"To use Vertex AI Generative AI you must have the langchain-google-vertexai Python package installed and either:\n\n"
"- Have credentials configured for your environment (gcloud, workload identity, etc...)\n"
"- Store the path to a service account JSON file as the GOOGLE_APPLICATION_CREDENTIALS environment variable\n\n"
"This codebase uses the google.auth library which first looks for the application credentials variable mentioned above, and then looks for system-level auth. "
"For more information, see the [Vertex AI authentication documentation](https://python.langchain.com/docs/integrations/llms/google_vertex_ai_palm/)."
)
13 changes: 11 additions & 2 deletions packages/jupyter-ai-magics/pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -50,8 +50,14 @@ all = [
"huggingface_hub",
"ipywidgets",
"langchain_anthropic",
"langchain_aws",
"langchain_cohere",
# `langchain_aws<0.2` is not compatible with LangChain v0.3
"langchain_aws>=0.2,<0.3",
# `langchain_cohere<0.3` is not compatible with LangChain v0.3
"langchain_cohere>=0.3",
# Pin cohere to <5.16 to prevent langchain_cohere from breaking as it uses ChatResponse removed in cohere 5.16.0
# cohere>=5.5.6 is implied by langchain_cohere>=0.3
# TODO: remove cohere pin when langchain_cohere is updated to work with cohere >=5.16
"cohere>=5.5.6,<5.16",
"langchain_google_genai",
"langchain_mistralai",
"langchain_nvidia_ai_endpoints",
Expand All @@ -61,6 +67,7 @@ all = [
"boto3",
"qianfan",
"together",
"langchain-google-vertexai",
]

[project.entry-points."jupyter_ai.model_providers"]
Expand All @@ -84,6 +91,7 @@ together-ai = "jupyter_ai_magics:TogetherAIProvider"
gemini = "jupyter_ai_magics.partner_providers.gemini:GeminiProvider"
mistralai = "jupyter_ai_magics.partner_providers.mistralai:MistralAIProvider"
openrouter = "jupyter_ai_magics.partner_providers.openrouter:OpenRouterProvider"
vertexai = "jupyter_ai_magics.partner_providers.vertexai:VertexAIProvider"

[project.entry-points."jupyter_ai.embeddings_model_providers"]
azure = "jupyter_ai_magics.partner_providers.openai:AzureOpenAIEmbeddingsProvider"
Expand All @@ -96,6 +104,7 @@ ollama = "jupyter_ai_magics.partner_providers.ollama:OllamaEmbeddingsProvider"
openai = "jupyter_ai_magics.partner_providers.openai:OpenAIEmbeddingsProvider"
openai-custom = "jupyter_ai_magics.partner_providers.openai:OpenAIEmbeddingsCustomProvider"
qianfan = "jupyter_ai_magics:QianfanEmbeddingsEndpointProvider"
vertexai = "jupyter_ai_magics.partner_providers.vertexai:VertexAIEmbeddingsProvider"

[tool.hatch.version]
source = "nodejs"
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