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… more customisable.
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Fixes#5211Fixes#5207Fixes#5208Fixes#5214
Also includes some code in progress from Milder.
---------
Co-authored-by: Milder Hernandez Cagua <[email protected]>
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---------
Co-authored-by: David Grieve <[email protected]>
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- Make constructors on classes that have builders protected
- Remove the addPlugin function from the kernel to make plugin set
immutable, in favour of adding a copy method for creating a clone of a
kernel that can have plugins added, i.e:
```
kernel = kernel.copy()
.withPlugin(timePlugin)
.build()
```
- Add sync invocation methods in addition to async
- Add warning if `FunctionInvocation` is used in an unusual manner that
might indicate a bug
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---------
Co-authored-by: GitHub <[email protected]>
- Make some enums upper case
- Update service loader file names to be in sync with new package
structure
- Exclude implementation packages from javadoc
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---------
Co-authored-by: John Oliver <[email protected]>
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### Motivation and Context
This PR contains main implementation part of #4662 and adds it into
`Functions.OpenApi.Extensions` project. There were also couple of bug
fixes in the mentioned PR, those will be handled in subsequent PRs.
API Manifest can describe capabilities of an AI plugin for a chat-based
system among other things. For a full description of API Manifest, see
the [API Manifest
Specification](https://darrelmiller.github.io/api-manifest/draft-miller-api-manifest.html).
API Manifest refers to one or more OpenAPI documents as API dependencies
and it selects a subset of operations from those documents to describe
the capabilities of an AI plugin.
### Description
Semantic Kernel has a way of creating plugins from OpenAPI operations,
but it has a couple of limitations that can be addressed with API
Manifest:
1. It can only create functions from OpenAPI operations that are
described in a single OpenAPI document.
2. It cannot reference multiple OpenAPI documents in a single plugin.
Not being able to slice OpenAPI operations is a major limitation,
especially for large APIs such as Microsoft Graph, which has over 1000
operations.
Today, we can create a Semantic Kernel plugin from an OpenAPI file and
one OpenAPI file corresponds to one plugin. We don't have a way of
selecting a subset of operations.
```mermaid
graph TB
subgraph OpenAPI1
operation11
operation12
operation13
end
subgraph OpenAPI2
operation21
operation22
operation23
end
subgraph OpenAPIPlugin1
function11
function12
function13
end
subgraph OpenAPIPlugin2
function21
function22
function23
end
operation11 -.- function11
operation12 -.- function12
operation13 -.- function13
operation21 -.- function21
operation22 -.- function22
operation23 -.- function23
style OpenAPIPlugin1 fill:blue,color:white
style OpenAPIPlugin2 fill:blue,color:white
```
### Proposed Solution
After Semantic Kernel APIManifest support, we will have an APIManifest
file, which will be used as a filter on OpenAPI files and it can
reference more than one OpenAPI file. The filter can be used as a guide
to select only certain operations to be converted into functions.
Assume that we want to create a single plugin with `function11` from
`OpenAPI1` and `function21` and `function22` from `OpenAPI2`. We want to
preserve the one-to-one mapping between the APIManifest and the plugin,
e.g. between `ApiManifestX` and `PluginX`:
```mermaid
graph TB
subgraph OpenAPI1
operation11
operation12
operation13
end
subgraph OpenAPI2
operation21
operation22
operation23
end
subgraph APIManifestX
reference11
reference21
reference22
end
subgraph PluginX
function11
function21
function22
end
reference11 -.- operation11
reference21 -.- operation21
reference22 -.- operation22
function11 -.- reference11
function21 -.- reference21
function22 -.- reference22
style APIManifestX fill:green,color:white
style PluginX fill:blue,color:white
```
If we use existing OpenAPI to Plugin public methods after on-the-fly
slicing, we can only achieve the following because there is an
assumption that a single OpenAPI is converted into a single plugin,
which breaks APIManifest to Plugin one-to-one mapping. A single
`APIManifestX` file corresponds to two plugins, namely, `PluginX1` and
`PluginX2`:
```mermaid
graph TB
subgraph OpenAPI1
operation11
operation12
operation13
end
subgraph OpenAPI2
operation21
operation22
operation23
end
subgraph APIManifestX
reference11
reference21
reference22
end
subgraph OpenAPI1_Sliced
operation11_sliced[operation11]
end
subgraph OpenAPI2_Sliced
operation21_sliced[operation21]
operation22_sliced[operation22]
end
subgraph PluginX1
function11
end
subgraph PluginX2
function21
function22
end
reference11 -.- operation11
reference21 -.- operation21
reference22 -.- operation22
operation11 -.- operation11_sliced -.- function11
operation21 -.- operation21_sliced -.- function21
operation22 -.- operation22_sliced -.- function22
style APIManifestX fill:green,color:white
style PluginX1 fill:blue,color:white
style PluginX2 fill:blue,color:white
```
To avoid this, the implementation of regular OpenAPI plugin generation
and API Manifest plugin generation meets at the function generation
level, so reuse starts at `CreateRestApiFunction`.
The PR also adds a KernelSyntaxExample for `/me/messages` endpoint of
Microsoft Graph.
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---------
Co-authored-by: SergeyMenshykh <[email protected]>
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2. What problem does it solve?
3. What scenario does it contribute to?
4. If it fixes an open issue, please link to the issue here.
-->
Current audio interfaces have optional execution settings parameters in
order to be able to use audio API through Kernel in the future, where
execution settings are optional. But when using audio services directly,
this is not user friendly, because when optional execution settings are
not configured, services will throw an error.
In case of text-to-audio service, required field is voice. This PR sets
default value to `alloy` with the ability to overwrite.
For audio-to-text service, required field is filename. This PR sets
default value to `file.mp3` with the ability to overwrite.
With these changes execution settings are no longer required (they are
optional) for text-to-audio and audio-to-text conversion.
### Contribution Checklist
<!-- Before submitting this PR, please make sure: -->
- [x] The code builds clean without any errors or warnings
- [x] 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
- [x] All unit tests pass, and I have added new tests where possible
- [x] I didn't break anyone 😄
John Oliver