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### Motivation and Context Reduce the burden on developers who want to use SK experimental features by reducing the number of `SKEXP` flags to the following list: | SKEXP | Experimental Features Category | |-------|--------------------------------| | SKEXP0001 | Semantic Kernel core | | SKEXP0010 | OpenAI and Azure OpenAI services | | SKEXP0020 | Memory abstractions | | SKEXP0040 | Function types | | SKEXP0050 | Out-of-the-box plugins | | SKEXP0060 | Planners | | SKEXP0070 | AI connectors | | SKEXP0100 | Advanced Semantic Kernel features | ### Description Closes #5242 ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [ ] The code builds clean without any errors or warnings - [ ] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [ ] All unit tests pass, and I have added new tests where possible - [ ] I didn't break anyone 😄 --------- Co-authored-by: Roger Barreto <[email protected]>
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status, contact, date
| status | contact | date |
|---|---|---|
| proposed | crickman, mabolan, semenshi | 2024-01-16 |
File Services
Context and Problem Statement
OpenAI provides a file service for uploading files to be used for assistant retrieval or model fine-tuning: https://api.openai.com/v1/files
Other providers may also offer some type of file-service, such as Gemini.
Note: Azure Open AI does not currently support the OpenAI file service API.
Considered Options
- Add OpenAI file service support to
Microsoft.SemanticKernel.Experimental.Agents - Add a file service abstraction and implement support for OpenAI
- Add OpenAI file service support without abstraction
Decision Outcome
Option 3. Add OpenAI file service support without abstraction Mark code as experimental using label:
SKEXP0010
Defining a generalized file service interface provides an extensibility point for other vendors, in addition to OpenAI.
Pros and Cons of the Options
Option 1. Add OpenAI file service support to Microsoft.SemanticKernel.Experimental.Agents
Pro:
- No impact to existing AI connectors.
Con:
- No reuse via AI connectors.
- No common abstraction.
- Unnatural dependency binding for uses other than with OpenAI assistants.
Option 2. Add a file service abstraction and implement support for OpenAI
Pro:
- Defines a common interface for file service interactions.
- Allows for specialization for vendor specific services.
Con:
- Other systems may diverge from existing assumptions.
Option 3. Add OpenAI file service support without abstraction
Pro:
- Provides support for OpenAI file-service.
Con:
- File service offerings from other vendors supported case-by-case without commonality.
More Information
Signature of BinaryContent
Note:
BinaryContentobject able to provide eitherBinaryDataorStreamregardless of which constructor is invoked.
Microsoft.SemanticKernel.Abstractions
namespace Microsoft.SemanticKernel;
/// <summary>
/// Represents binary content.
/// </summary>
public sealed class BinaryContent : KernelContent
{
public BinaryContent(
BinaryData content,
string? modelId = null,
object? innerContent = null,
IReadOnlyDictionary<string, object?>? metadata = null);
public BinaryContent(
Func<Stream> streamProvider,
string? modelId = null,
object? innerContent = null,
IReadOnlyDictionary<string, object?>? metadata = null);
public Task<BinaryData> GetContentAsync();
public Task<Stream> GetStreamAsync();
}
Signatures for Option 3:
Microsoft.SemanticKernel.Connectors.OpenAI
namespace Microsoft.SemanticKernel.Connectors.OpenAI;
public sealed class OpenAIFileService
{
public async Task<OpenAIFileReference> GetFileAsync(
string id,
CancellationToken cancellationToken = default);
public async Task<IEnumerable<OpenAIFileReference>> GetFilesAsync(CancellationToken cancellationToken = default);
public async Task<BinaryContent> GetFileContentAsync(
string id,
CancellationToken cancellationToken = default);
public async Task DeleteFileAsync(
string id,
CancellationToken cancellationToken = default);
public async Task<OpenAIFileReference> UploadContentAsync(
BinaryContent content,
OpenAIFileUploadExecutionSettings settings,
CancellationToken cancellationToken = default);
}
public sealed class OpenAIFileUploadExecutionSettings
{
public string FileName { get; }
public OpenAIFilePurpose Purpose { get; }
}
public sealed class OpenAIFileReference
{
public string Id { get; set; }
public DateTime CreatedTimestamp { get; set; }
public string FileName { get; set; }
public OpenAIFilePurpose Purpose { get; set; }
public int SizeInBytes { get; set; }
}
public enum OpenAIFilePurpose
{
Assistants,
Finetuning,
}