Python: Fix FoundryAgent telemetry gaps for name and model (Fixes #5088)

[Charanvardhan]

Motivation and Context

This PR addresses two telemetry gaps present in the FoundryAgent implementation where essential OpenTelemetry instrumentation fields were either rendering erroneously as a UUID or not populating at all.

Fixes #5088

Description

This change ensures that gen_ai.agent.name and gen_ai.request.model output appropriately for telemetry and Application Insights tracing.

• Agent Name fallback: In _agent.py, RawFoundryAgent.__init__ now correctly falls back to getattr(client, 'agent_name') if name is omitted, rather than allowing the base classes to arbitrarily generate a random UUID.
• Request Model Lazy-Loading: Because Managed Foundry Agents dictate their models entirely server-side, RawFoundryAgentChatClient now implements an asynchronous lazy invocation to project_client.agents.get_agent inside _prepare_options. It securely caches the return response locally, directly updates the opentelemetry current span dynamically before tracing is flushed, and exposes a .model property for all subsequent calls.
• Unit Tests: Additionally includes the test_foundry_agent_telemetry_defaults test using AsyncMock to rigorously assert these edge configurations.

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.

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[Copilot]

Pull request overview

This PR aims to close telemetry gaps in the Python Foundry agent integration by ensuring gen_ai.agent.name uses a stable, human-readable fallback (agent name) and by resolving gen_ai.request.model from the Azure AI Projects agent definition (rather than reporting "unknown").

Changes:

• Add a fallback for FoundryAgent.name to use the underlying client’s agent_name when name=None.
• Add lazy model resolution via project_client.agents.get_agent(...) and attempt to patch the current OTel span with the resolved model.
• Add a unit test validating the name fallback and lazy model fetch behavior.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 6 comments.

File	Description
python/packages/foundry/agent_framework_foundry/_agent.py	Adds name fallback behavior and introduces lazy model resolution + span mutation logic.
python/packages/foundry/tests/foundry/test_foundry_agent.py	Adds a test covering the new name/model telemetry defaults behavior.

[Copilot]

Pull request overview

Copilot reviewed 2 out of 2 changed files in this pull request and generated 5 comments.

[Copilot]

model is defined as a property, but the setter is a no-op. Because RawFoundryAgentChatClient subclasses RawOpenAIChatClient, RawOpenAIChatClient.__init__ assigns self.model = ... (openai/_chat_client.py:446); with the current no-op setter, that assignment is silently discarded, and any later client.model = ... will also do nothing. Implement the setter to persist the value (e.g., set the backing field used by the getter) or remove the property and use a normal attribute/backing field so assignments behave correctly.

Suggested change

	pass
	self._fetched_model = value

[Copilot]

The lazy model fetch uses if not hasattr(self, "_fetched_model") and then awaits project_client.agents.get_agent(...). If two calls enter _prepare_options concurrently before _fetched_model is set, both will perform the network call. Consider guarding the lazy initialization with an asyncio.Lock or an in-flight Task/Future so only one fetch occurs and others await it.

[Copilot]

The except Exception blocks here swallow all failures (including auth/config/service errors) and then suppress them again when updating OTEL, with no logging. This can make real regressions very hard to diagnose and permanently cache "unknown" after a transient error. Prefer catching expected exception types (e.g., ImportError separately, and the specific Azure SDK error types for get_agent) and logging at least a debug/warning message once when resolution fails.

[Copilot]

Updating the OpenTelemetry span via trace.get_current_span() won’t work for streaming requests: ChatTelemetryLayer intentionally creates streaming spans without context attachment (core/agent_framework/observability.py:1293-1299), so there may be no “current span” to update. As a result, gen_ai.request.model can still remain unknown for stream=True. Consider a mechanism that ensures the span used for the request is the one being updated (e.g., providing the model before span creation, or passing/propagating the span explicitly).

[Copilot]

This multiline FoundryAgent(...) call is missing a trailing comma after the last argument. In this repo most multiline call sites include trailing commas (and formatters like Black will typically add them), so adding it will avoid churn / formatting diffs.

Suggested change

	name=None # Explicitly None to test fallback
	name=None, # Explicitly None to test fallback

[Charanvardhan]

@copilot apply changes based on the comments in this thread