Python: Fix as_agent function invocation config

[puneetdixit200]

Motivation and Context

Fixes #6313.

BaseChatClient.as_agent() accepts function_invocation_configuration, but passing it currently raises Agent.__init__() got an unexpected keyword argument 'function_invocation_configuration' before an agent can be created.

Description

• Add agent-level function invocation configuration support to RawAgent and Agent.
• Forward the normalized agent-level config to clients whose get_response() accepts a per-call function invocation override, without mutating shared client defaults.
• Use a per-call effective configuration inside FunctionInvocationLayer.get_response().
• Add a regression test for as_agent(function_invocation_configuration=...).

Focused local tests for core clients, agents, and function invocation passed, and targeted Ruff format/lint checks passed. A local pyright -P core run is blocked in this environment by missing optional OTLP exporter imports in observability.py.

Contribution Checklist

• The code builds clean without any errors or warnings
• The PR follows the Contribution Guidelines
• All unit tests pass, and I have added new tests where possible
• Is this a breaking change? If yes, add "[BREAKING]" prefix to the title of the PR.

[Copilot]

Pull request overview

Note

Copilot was unable to run its full agentic suite in this review.

This PR adds support for passing a per-call function_invocation_configuration from agents into the function-invocation layer, allowing agent instances (and as_agent(...)) to override tool/function-calling behavior for a single run without mutating the underlying client.

Changes:

• Adds function_invocation_configuration as an optional parameter to FunctionInvocationLayer.get_response(...) and threads it through tool-calling logic via an “effective config”.
• Introduces agent-level function_invocation_configuration plumbing and forwards it to clients that support it.
• Adds a unit test verifying that as_agent(...) forwards configuration without mutating the base client’s configuration.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 6 comments.

File	Description
python/packages/core/tests/core/test_clients.py	Adds a regression test ensuring agent forwarding of function invocation config.
python/packages/core/agent_framework/_tools.py	Adds per-call override support for function invocation configuration inside get_response.
python/packages/core/agent_framework/_agents.py	Adds agent-level config storage and conditional forwarding to get_response.

Comments suppressed due to low confidence (1)

python/packages/core/agent_framework/_agents.py:2

• Agent currently normalizes function_invocation_configuration even when the constructor argument is None, and then always forwards it to FunctionInvocationLayer.get_response. This unintentionally overrides the client’s own self.function_invocation_configuration (e.g., a client configured with enabled=False would be re-enabled by the agent defaults). To preserve existing behavior, keep the agent’s configuration as None unless explicitly provided, and only forward function_invocation_configuration when an override is present (and adjust the run-context type accordingly).

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