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Python: fix(declarative): Fix MCP tool connection not passed from YAML to Azure AI agent creation API (#3248)

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* fix(declarative): Fix MCP tool connection not passed from YAML

* Add samples to README

* Fix mypy

* Fix mypy again

* Address PR comments
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Evan Mattson
2026-01-20 16:24:20 +09:00
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parent 83e8965c8e
commit e0b9be7e08
7 changed files with 779 additions and 110 deletions
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@@ -180,6 +180,17 @@ The recommended way to use Ollama is via the native `OllamaChatClient` from the
| [`getting_started/context_providers/simple_context_provider.py`](./getting_started/context_providers/simple_context_provider.py) | Simple context provider implementation example |
| [`getting_started/context_providers/aggregate_context_provider.py`](./getting_started/context_providers/aggregate_context_provider.py) | Shows how to combine multiple context providers using an AggregateContextProvider |
## Declarative
| File | Description |
|------|-------------|
| [`getting_started/declarative/azure_openai_responses_agent.py`](./getting_started/declarative/azure_openai_responses_agent.py) | Basic agent using Azure OpenAI with structured responses |
| [`getting_started/declarative/get_weather_agent.py`](./getting_started/declarative/get_weather_agent.py) | Agent with custom function tools using declarative bindings |
| [`getting_started/declarative/inline_yaml.py`](./getting_started/declarative/inline_yaml.py) | Agent created from inline YAML string |
| [`getting_started/declarative/mcp_tool_yaml.py`](./getting_started/declarative/mcp_tool_yaml.py) | MCP tool configuration with API key and Azure Foundry connection auth |
| [`getting_started/declarative/microsoft_learn_agent.py`](./getting_started/declarative/microsoft_learn_agent.py) | Agent with MCP server integration for Microsoft Learn documentation |
| [`getting_started/declarative/openai_responses_agent.py`](./getting_started/declarative/openai_responses_agent.py) | Basic agent using OpenAI directly |
## DevUI
| File | Description |