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Giles Odigwe 2b3c401848 Python: Fix: Parse oauth_consent_request events in Azure AI client (#4197 )

* Fix: Parse oauth_consent_request events in Azure AI client (#3950)

When Azure AI Agent Service returns an oauth_consent_request output item
for OAuth-protected MCP tools, the base OpenAI responses parser drops it
(hits case _ default branch). This causes agent runs to complete silently
with zero content.

Changes:
- Add oauth_consent_request ContentType and Content.from_oauth_consent_request()
  factory with consent_link field and user_input_request=True
- Override _parse_response_from_openai and _parse_chunk_from_openai in
  RawAzureAIClient to intercept Azure-specific oauth_consent_request items
- Add _emit_oauth_consent helper in AG-UI to emit CustomEvent for frontends
- Add tests proving base parser drops the event and Azure AI override catches it

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* addressed comment

* addressed comments

* addressed comments

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

2b3c401848 · 2026-03-03 23:02:03 +00:00

History

agent_framework_azure_ai

Python: Fix: Parse oauth_consent_request events in Azure AI client (#4197 )

2026-03-03 23:02:03 +00:00

tests

Python: Fix: Parse oauth_consent_request events in Azure AI client (#4197 )

2026-03-03 23:02:03 +00:00

AGENTS.md

.NET: Python: Add AGENTS.md files and update coding standards (#3644 )

2026-02-05 10:27:46 +00:00

LICENSE

Python: [BREAKING] updated structure and samples (#875 )

2025-09-25 07:02:53 +00:00

pyproject.toml

Update Python package versions to rc2 (#4258 )

2026-02-25 19:37:44 +00:00

README.md

Python: Add Foundry Memory Context Provider (#3943 )

2026-02-24 06:05:53 +00:00

README.md

Get Started with Microsoft Agent Framework Azure AI

Please install this package via pip:

pip install agent-framework-azure-ai --pre

Foundry Memory Context Provider

The Foundry Memory context provider enables semantic memory capabilities for your agents using Azure AI Foundry Memory Store. It automatically:

Retrieves static (user profile) memories on first run
Searches for contextual memories based on conversation
Updates the memory store with new conversation messages

Basic Usage Example

See the Foundry Memory example which demonstrates:

Creating a memory store using Azure AI Projects client
Setting up an agent with FoundryMemoryProvider
Teaching the agent user preferences
Retrieving information using remembered context across conversations
Automatic memory updates with configurable delays

and see the README for more information.