feat: adding VertexAI#555
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Issue #290
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The package version has been updated from 0.2.6 to 0.2.7. This change is made to reflect the latest changes and improvements in the package.
…ield type for "credentials" 📝 chore(llms.py): improve field configuration for VertexAI template and modify field type for "credentials" The `add_extra_fields` method is modified to add an additional field called "credentials" for the VertexAI template. The field is of type "file" and is required. It allows the user to upload a JSON file as credentials. The `format_openai_field` method is also updated to handle the new "credentials" field.
….11 to ensure compatibility ⬆️ feat(pyproject.toml): add google-cloud-aiplatform dependency to enable integration with Google Cloud AI Platform The python dependency version has been updated to >=3.9,<3.11 to ensure compatibility with the project. Additionally, the google-cloud-aiplatform dependency has been added to enable integration with Google Cloud AI Platform services.
…texAI class The condition for showing fields in the VertexAI class has been simplified to exclude specific field names. This improves readability and maintainability of the code.
🔧 chore(loading.py): call initialize_vertexai function when node_type is "VertexAI" The `llm.py` file now includes a new function `initialize_vertexai` that initializes the VertexAI credentials if a `credentials` parameter is provided. This allows for the usage of VertexAI credentials in the application. In `loading.py`, the `initialize_vertexai` function is called when the `node_type` is "VertexAI", ensuring that the VertexAI credentials are properly initialized for that specific node type.
…ge class The logic to find the matched_type in the Edge class has been simplified by removing unnecessary nested loops and using a single generator expression. This improves the readability and efficiency of the code.
…bility and maintainability 🔀 chore(custom_lists.py): add ChatVertexAI to the import statements for better modularity and extensibility 🔀 chore(custom_lists.py): add ChatVertexAI to the llm_type_to_cls_dict for better compatibility and flexibility 🔀 chore(llms.py): change required field for credentials to be optional for better user experience 🔀 chore(llms.py): add advanced and show fields for specific fields related to VertexAI for better configurability The import statements in `custom_lists.py` have been reformatted to improve readability and maintainability. The `ChatVertexAI` class has been added to the import statements to enhance modularity and extensibility. The `ChatVertexAI` class has been added to the `llm_type_to_cls_dict` dictionary in `custom_lists.py` to improve compatibility and flexibility. In `llms.py`, the `required` field for the `credentials` field has been changed to be optional for a better user experience. The `advanced` and `show` fields have been added to specific fields related to VertexAI in `llms.py` to provide better configurability.
…ug causing AttributeError The ChatVertexAI integration is temporarily commented out due to a bug that causes an AttributeError. This bug needs to be resolved before the integration can be activated again.
🔧 fix(loading.py): remove empty lines The type error for the service_account import in llm.py is ignored to prevent a linting error. In loading.py, empty lines were removed for code cleanliness.
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Issue #416