### Motivation and Context
We have some gaps in how we build the JSON schema for function calling
related to Union and Optional types. There is also some work to do
related to handling `Optional` versus `param | None = None`.
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### Description
This PR improves the JSON schema building for the Union and Optional
types. It adds additional tests and improves some existing tests.
- Closes#7297
- Closes#7298
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### Motivation and Context
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Introduces a ImageContent class
Allows that type to be part of ChatMessageContent
Adds a sample for both local and online images
Adds many tests with data uri edge cases, and binary parsing edge cases.
Closes#6536
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### Motivation and Context
While parsing the kernel function's arguments, we recurse to the type's
base origin and then set that as the `type_object`. For a type like
`list[MyCustomClass]` only setting the `type_object` as `list` has us
lose out on the other valuable information of the list's type, which is
`MyCustomClass` and what attributes it contains within. This then leads
us to build an incomplete schema when creating the kernel function
parameters and ultimately when we send the JSON schema to the model
during tool calls.
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### Description
This PR:
- Closes#6466
- Refactors the kernel function decorator code to parse
arguments/parameters. We now grab the `type_object` of the
parameter/argument in question, which is used to build the JSON schema.
- Fixes the schema building for the types we build. We were missing
`required` parameters as well.
- Attempts to handle as many edge cases as possible, although there are
probably more that we aren't handling right now -- for example properly
handling all schemas for Unions is tricky.
- Adds unit tests to make sure we are building the JSON schema as
expected. All unit, integration and sample tests are passing.
- Handles a `TypeError` exception during auto function calling where the
model sends back an argument like `2`, which doesn't cause JSON parsing
to fail, but will fail when trying to update the argument dictionary.
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### Motivation and Context
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Added a section on documentation to the DEV_SETUP
Added a check for the copyright row to pre-commit
Closes#5629
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### Motivation and Context
The schema building for complex types worked in some regard, but it
didn't work for all cases. There needs to be better checks on complex
types, if they have __args__ and if so, recurse to the base class type,
and also grab the type that is specified in the list like
list[CustomClass], list[str] or even Union[int, bool].
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### Description
This PR improves the parsing/building of complex types. Added
integration tests to cover more types in the hope that this doesn't lead
to any more issues.
- Closes#6388
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### Motivation and Context
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- Added static code checking to pre-commit (check-ast and
nbqa-check-ast)
- Added Bandit security checking to pre-commit
- Added pre-commit step to python-lint workflow, if it works, can delete
seperate mypy, ruff and black tests
### Description
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### Motivation and Context
Building the tools json payload from the kernel parameter metadata
wasn't properly including an object of type `array`.
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### Description
Correctly include the object type `array` so that the tool call doesn't
return a bad request. Add unit tests.
- Closes#6367
- Closes#6360
- Fixes the FunctionResult return for a type string -- if the
FunctionResult is of type KernelContent then return the first element of
the list, otherwise return the complete list.
- Fix the kernel function from method to include the proper type_object
for the return parameter so that the schema can be created properly.
- Add retry logic for a sometimes flaky function calling stepwise
planner integration test.
- Add a check during function calling that makes sure the model is
returning the proper number of arguments based on how many function
arguments are required.
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### Motivation and Context
The FC stepwise planner was breaking when trying to process the function
call result because if a filter is not configured, then the context will
be None. We need to only try to extract the FC result if the context is
not none, otherwise it will already be present in the chat history.
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### Description
Check that the FC result context is not None, if so, then extract the FC
result, otherwise proceed as the FC result is in the chat history. Fixes
#6350.
- Removes some extranous logging from json schema addition.
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### Motivation and Context
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Now that we only support 310 and up, we could unify all files, to use
the new style typing and annotations.
### Description
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### Motivation and Context
The Python code base could handle some primitive types for the schema
for tool call objects and kernel parameter metadata. However, it
couldn't properly handle the more complex JSON schemas for tool call
objects.
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### Description
This PR introduces:
- JSON schema handling for KernelParameterMetadata and tool call
objects.
- Updates to the tool call utils method to properly recurse on the
KernelParameterMetadata's stucture.
- Adds unit tests for this code.
- Add experimental_class/experimental_functions to various parts of the
code base like Memory Connectors and OpenAPI plugin.
- Fixes#6310
- Fixes#6280
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