From 906078b60b7755e9b762929155d5a9d8182f9329 Mon Sep 17 00:00:00 2001 From: standsleeping Date: Fri, 23 Aug 2024 21:35:10 -0500 Subject: [PATCH] Add the Google/Vertex provider --- aimodels/client/client.py | 2 + aimodels/providers/__init__.py | 1 + aimodels/providers/vertex_interface.py | 77 ++++ guides/vertex.md | 92 +++++ poetry.lock | 429 ++++++++++++++++++++++- pyproject.toml | 1 + tests/providers/test_vertex_interface.py | 67 ++++ 7 files changed, 666 insertions(+), 3 deletions(-) create mode 100644 aimodels/providers/vertex_interface.py create mode 100644 guides/vertex.md create mode 100644 tests/providers/test_vertex_interface.py diff --git a/aimodels/client/client.py b/aimodels/client/client.py index 2276eb76..95dd03fa 100644 --- a/aimodels/client/client.py +++ b/aimodels/client/client.py @@ -12,6 +12,7 @@ OpenAIInterface, ReplicateInterface, TogetherInterface, + VertexInterface, ) @@ -48,6 +49,7 @@ def __init__(self): "openai": OpenAIInterface, "replicate": ReplicateInterface, "together": TogetherInterface, + "vertex": VertexInterface, } def get_provider_interface(self, model): diff --git a/aimodels/providers/__init__.py b/aimodels/providers/__init__.py index 2c58f0c9..93095616 100644 --- a/aimodels/providers/__init__.py +++ b/aimodels/providers/__init__.py @@ -10,3 +10,4 @@ from .openai_interface import OpenAIInterface from .replicate_interface import ReplicateInterface from .together_interface import TogetherInterface +from .vertex_interface import VertexInterface diff --git a/aimodels/providers/vertex_interface.py b/aimodels/providers/vertex_interface.py new file mode 100644 index 00000000..fb44869b --- /dev/null +++ b/aimodels/providers/vertex_interface.py @@ -0,0 +1,77 @@ +"""The interface to Vertex AI.""" + +import os +from aimodels.framework import ProviderInterface, ChatCompletionResponse + + +class VertexInterface(ProviderInterface): + """Implements the ProviderInterface for interacting with Vertex AI.""" + + def __init__(self): + """Set up the Vertex AI client with a project ID.""" + import vertexai + + vertexai.init( + project=os.getenv("VERTEX_PROJECT_ID"), location=os.getenv("VERTEX_REGION") + ) + + def chat_completion_create(self, messages=None, model=None, temperature=0): + """Request chat completions from the Vertex AI API. + + Args: + ---- + model (str): Identifies the specific provider/model to use. + messages (list of dict): A list of message objects in chat history. + + Returns: + ------- + The ChatCompletionResponse with the completion result. + + """ + from vertexai.generative_models import GenerativeModel, GenerationConfig + + without_system_messages = self.transform_roles( + messages=messages, from_role="system", to_role="user" + ) + + with_model_roles = self.transform_roles( + messages=without_system_messages, from_role="assistant", to_role="model" + ) + + final_message_history = self.convert_openai_to_vertex_ai(with_model_roles[:-1]) + last_message = with_model_roles[-1]["content"] + + model = GenerativeModel( + model, generation_config=GenerationConfig(temperature=temperature) + ) + + chat = model.start_chat(history=final_message_history) + response = chat.send_message(last_message) + return self.convert_response_to_openai_format(response) + + def convert_openai_to_vertex_ai(self, messages): + """Convert OpenAI messages to Vertex AI messages.""" + from vertexai.generative_models import Content, Part + + history = [] + for message in messages: + role = message["role"] + content = message["content"] + parts = [Part.from_text(content)] + history.append(Content(role=role, parts=parts)) + return history + + def transform_roles(self, messages, from_role, to_role): + """Transform the roles in the messages to the desired role.""" + for message in messages: + if message["role"] == from_role: + message["role"] = to_role + return messages + + def convert_response_to_openai_format(self, response): + """Convert Vertex AI response to OpenAI's ChatCompletionResponse format.""" + openai_response = ChatCompletionResponse() + openai_response.choices[0].message.content = ( + response.candidates[0].content.parts[0].text + ) + return openai_response diff --git a/guides/vertex.md b/guides/vertex.md new file mode 100644 index 00000000..1459abd9 --- /dev/null +++ b/guides/vertex.md @@ -0,0 +1,92 @@ +# Vertex AI + +To use Vertex AI with the `aimodels` library, you'll first need to create a Google Cloud account and set up your environment to work with Google Cloud. + +## Create a Google Cloud Account and Project + +Google Cloud provides in-depth [documentation](https://cloud.google.com/vertex-ai/docs/start/cloud-environment) on getting started with their platform, but here are the basic steps: + +### Create your account. + +Visit [Google Cloud](https://cloud.google.com/free) and follow the instructions for registering a new account. If you already have an account with Google Cloud, sign in and skip to the next step. + +### Create a new project and enable billing. + +Once you have an account, you can create a new project. Visit the [project selector page](https://console.cloud.google.com/projectselector2/home/dashboard) and click the "New Project" button. Give your project a name and click "Create Project." Your project will be created and you will be redirected to the project dashboard. + +Now that you have a project, you'll need to enable billing. Visit the [how-to page](https://cloud.google.com/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project) for billing enablement instructions. + +### Set your project ID in an environment variable. + +Set the `VERTEX_PROJECT_ID` environment variable to the ID of your project. You can find the Project ID by visiting the project dashboard in the "Project Info" section toward the top of the page. + +### Set your preferred region in an environment variable. + +Set the `VERTEX_REGION` environment variable to the ID of your project. You can find the Project ID by visiting the project dashboard in the "Project Info" section toward the top of the page. + +## Create a Service Account For API Access + +Because `aimodels` needs to authenticate with Google Cloud to access the Vertex AI API, you'll need to create a service account and set the `GOOGLE_APPLICATION_CREDENTIALS` environment variable to the path of a JSON file containing the service account's credentials, which you can download from the Google Cloud Console. + +This is documented [here](https://cloud.google.com/docs/authentication/provide-credentials-adc#how-to), and the basic steps are as follows: + +1. Visit the [service accounts page](https://console.cloud.google.com/iam-admin/serviceaccounts) in the Google Cloud Console. +2. Click the "+ Create Service Account" button toward the top of the page. +3. Follow the steps for naming your service account and granting access to the project. +4. Click "Done" to create the service account. +5. Now, click the "Keys" tab towards the top of the page. +6. Click the "Add Key" menu, then select "Create New Key." +6. Choose "JSON" as the key type, and click "Create." +7. Move this file to a location on your file system like your home directory. +8. Set the `GOOGLE_APPLICATION_CREDENTIALS` environment variable to the path of the JSON file. + +## Double check your environment is configured correctly. + +At this point, you should have three environment variables set to ensure your environment is set up correctly: + +- `VERTEX_PROJECT_ID` +- `VERTEX_REGION` +- `GOOGLE_APPLICATION_CREDENTIALS` + +Once these are set, you are ready to write some code and send a chat completion request. + +## Create a chat completion. + +With your account and service account set up, you can send a chat completion request. + +Export the environment variables: + +```shell +export VERTEX_PROJECT_ID="your-project-id" +export VERTEX_REGION="your-region" +export GOOGLE_APPLICATION_CREDENTIALS="path/to/your/service-account-file.json" +``` + +Install the Vertex AI SDK: + +```shell +pip install vertexai +``` + +In your code: + +```python +import aimodels as ai +client = ai.Client() + +model="vertex:gemini-1.5-pro-001" + +messages = [ + {"role": "system", "content": "Respond in Pirate English."}, + {"role": "user", "content": "Tell me a joke."}, +] + +response = client.chat.completions.create( + model=model, + messages=messages, +) + +print(response.choices[0].message.content) +``` + +Happy coding! If you would like to contribute, please read our [Contributing Guide](CONTRIBUTING.md). \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index 720cd4d0..8978a9ca 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1054,6 +1054,17 @@ idna = ["idna (>=3.6)"] trio = ["trio (>=0.23)"] wmi = ["wmi (>=1.5.1)"] +[[package]] +name = "docstring-parser" +version = "0.16" +description = "Parse Python docstrings in reST, Google and Numpydoc format" +optional = false +python-versions = ">=3.6,<4.0" +files = [ + {file = "docstring_parser-0.16-py3-none-any.whl", hash = "sha256:bf0a1387354d3691d102edef7ec124f219ef639982d096e26e3b60aeffa90637"}, + {file = "docstring_parser-0.16.tar.gz", hash = "sha256:538beabd0af1e2db0146b6bd3caa526c35a34d61af9fd2887f3a8a27a739aa6e"}, +] + [[package]] name = "email-validator" version = "2.2.0" @@ -1335,6 +1346,37 @@ test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe, test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", 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00000000..a351072a --- /dev/null +++ b/tests/providers/test_vertex_interface.py @@ -0,0 +1,67 @@ +import pytest +from unittest.mock import patch, MagicMock +from aimodels.providers.vertex_interface import VertexInterface +from vertexai.generative_models import Content, Part + + +@pytest.fixture(autouse=True) +def set_api_key_env_var(monkeypatch): + """Fixture to set environment variables for tests.""" + monkeypatch.setenv("GOOGLE_APPLICATION_CREDENTIALS", "path-to-service-account-json") + monkeypatch.setenv("VERTEX_PROJECT_ID", "vertex-project-id") + monkeypatch.setenv("VERTEX_REGION", "us-central1") + + +def test_vertex_interface(): + """High-level test that the interface is initialized and chat completions are requested successfully.""" + + user_greeting = "Hello!" + message_history = [{"role": "user", "content": user_greeting}] + selected_model = "our-favorite-model" + + interface = VertexInterface() + + with patch("vertexai.generative_models.GenerativeModel") as mock_model: + mock_chat = MagicMock() + mock_model.return_value.start_chat.return_value = mock_chat + mock_chat.send_message.return_value = "Mocked response" + + response = interface.chat_completion_create( + messages=message_history, model=selected_model + ) + + mock_model.assert_called_once_with(selected_model) + mock_model.return_value.start_chat.assert_called_once() + mock_chat.send_message.assert_called_once_with(user_greeting) + assert response == "Mocked response" + + +def test_convert_openai_to_vertex_ai(): + interface = VertexInterface() + message_history = [{"role": "user", "content": "Hello!"}] + result = interface.convert_openai_to_vertex_ai(message_history) + assert isinstance(result[0], Content) + assert result[0].role == "user" + assert len(result[0].parts) == 1 + assert isinstance(result[0].parts[0], Part) + assert result[0].parts[0].text == "Hello!" + + +def test_transform_roles(): + interface = VertexInterface() + + messages = [ + {"role": "system", "content": "Vertex: system message = 1st user message."}, + {"role": "user", "content": "User message 1."}, + {"role": "assistant", "content": "Assistant message 1."}, + ] + + expected_output = [ + {"role": "user", "content": "Vertex: system message = 1st user message."}, + {"role": "user", "content": "User message 1."}, + {"role": "assistant", "content": "Assistant message 1."}, + ] + + result = interface.transform_roles(messages, from_role="system", to_role="user") + + assert result == expected_output