### Motivation and Context
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### Description
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### Contribution Checklist
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- [ ] The code builds clean without any errors or warnings
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(https://learn.microsoft.com/dotnet/csharp/fundamentals/coding-style/coding-conventions)
verified with `dotnet format`
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄
### Motivation and Context
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Port Example14_SemanticMemory.cs to Java
### Description
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Port of Example14_SemanticMemory.cs to Java.
This sample uses an Azure Cognitive Search connector, which was also
ported from dotnet/src/Connectors/Connectors.Memory.AzureCognitiveSearch
Changes needed to api and core modules.
### Contribution Checklist
<!-- Before submitting this PR, please make sure: -->
- [x] The code builds clean without any errors or warnings
- [x] The PR follows SK Contribution Guidelines
(https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
- [x] ~The code follows the .NET coding conventions
(https://learn.microsoft.com/dotnet/csharp/fundamentals/coding-style/coding-conventions)
verified with `dotnet format`~ Java code follows AOSP style
- [X] All unit tests pass, and I have added new tests where possible
- [X] I didn't break anyone 😄
---------
Co-authored-by: Luigi Montoya <[email protected]>
Co-authored-by: joe-braley <[email protected]>
Co-authored-by: Luigi96 <[email protected]>
Co-authored-by: Mark Wallace <[email protected]>
Co-authored-by: John Oliver <[email protected]>
### Motivation and Context
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Please help reviewers and future users, providing the following
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2. What problem does it solve?
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### Description
<!-- Describe your changes, the overall approach, the underlying design.
These notes will help understanding how your code works. Thanks! -->
### Contribution Checklist
<!-- Before submitting this PR, please make sure: -->
- [ ] The code builds clean without any errors or warnings
- [ ] The PR follows SK Contribution Guidelines
(https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
- [ ] The code follows the .NET coding conventions
(https://learn.microsoft.com/dotnet/csharp/fundamentals/coding-style/coding-conventions)
verified with `dotnet format`
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄
---------
Co-authored-by: Luigi Montoya <[email protected]>
Co-authored-by: joe-braley <[email protected]>
Co-authored-by: Luigi96 <[email protected]>
Co-authored-by: Mark Wallace <[email protected]>
Co-authored-by: David Grieve <[email protected]>
Additionally removes the defaulting of the name for an annotated native
input parameter and requires explicit naming of the input name
---------
Co-authored-by: Luigi Montoya <[email protected]>
Co-authored-by: joe-braley <[email protected]>
Co-authored-by: Luigi96 <[email protected]>
Co-authored-by: Mark Wallace <[email protected]>
Co-authored-by: David Grieve <[email protected]>
### Motivation and Context
Add settings retrieval through properties file and env vars
### Description
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Adds util.Settings to load settings values from a properties file or
from the environment.
Also, the ability to have different client settings in the properties
file and load them by their specific schema Id:
```yaml
client.azureopenai.key: "AZURE_OPEN_AI_KEY"
client.azureopenai.endpoint: "AZURE_OPEN_AI_ENDPOINT"
client.azureopenai.deploymentname: "AZURE_OPEN_AI_DEPLOYMENT_NAME"
client.myazureopenai.key: "AZURE_OPEN_AI_KEY"
client.myazureopenai.endpoint: "AZURE_OPEN_AI_ENDPOINT"
client.myazureopenai.deploymentname: "AZURE_OPEN_AI_DEPLOYMENT_NAME"
```
By calling `Settings.getAzureOpenAISettingsFromFile(CONF_PROPERTIES)`
the user would be able to load the Azure settings using the default
schema id, as shown in the block at the top.
By calling `Settings.getAzureOpenAISettingsFromFile(CONF_PROPERTIES,
"myazureopenai")` the user would be able to load a different Azure
configuration by just adding the second block to the properties file.
### Contribution Checklist
<!-- Before submitting this PR, please make sure: -->
- [ ] The code builds clean without any errors or warnings
- [ ] The PR follows SK Contribution Guidelines
(https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
- [ ] The code follows the .NET coding conventions
(https://learn.microsoft.com/dotnet/csharp/fundamentals/coding-style/coding-conventions)
verified with `dotnet format`
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄
---------
Co-authored-by: Luigi Montoya <[email protected]>
Co-authored-by: joe-braley <[email protected]>
Co-authored-by: Luigi96 <[email protected]>
Co-authored-by: Mark Wallace <[email protected]>
Co-authored-by: John Oliver <[email protected]>
Co-authored-by: David Grieve <[email protected]>
### Motivation and Context
<!-- Thank you for your contribution to the semantic-kernel repo!
Please help reviewers and future users, providing the following
information:
1. Why is this change required?
2. What problem does it solve?
3. What scenario does it contribute to?
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-->
### Description
<!-- Describe your changes, the overall approach, the underlying design.
These notes will help understanding how your code works. Thanks! -->
### Contribution Checklist
<!-- Before submitting this PR, please make sure: -->
- [ ] The code builds clean without any errors or warnings
- [ ] The PR follows SK Contribution Guidelines
(https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
- [ ] The code follows the .NET coding conventions
(https://learn.microsoft.com/dotnet/csharp/fundamentals/coding-style/coding-conventions)
verified with `dotnet format`
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄
John Oliver