Temporarily removed language sections in missing docs

Author: dmytrostruk

agent-framework/tutorials/agents/agent-as-mcp-tool.md

@@ -1,7 +1,6 @@
 ---
 title: Exposing an agent as an MCP tool
 description: Learn how to expose an agent as a tool over the MCP protocol
-zone_pivot_groups: programming-languages
 author: westey-m
 ms.topic: tutorial
 ms.author: westey
@@ -11,8 +10,6 @@ ms.service: semantic-kernel
 
 # Exposing an agent as an MCP tool
 
-::: zone pivot="programming-language-csharp"
-
 This tutorial shows you how to expose an agent as a tool over the Model Context Protocol (MCP), so it can be used by other systems that support MCP tools.
 
 ## Prerequisites
@@ -81,8 +78,6 @@ await builder.Build().RunAsync();
 
 This will start an MCP server that exposes the agent as a tool over the MCP protocol.
 
-::: zone-end
-
 ## Next steps
 
 > [!div class="nextstepaction"]

agent-framework/tutorials/agents/function-tools-approvals.md

@@ -1,7 +1,6 @@
 ---
 title: Using function tools with human in the loop approvals
 description: Learn how to use function tools with human in the loop approvals
-zone_pivot_groups: programming-languages
 author: westey-m
 ms.topic: tutorial
 ms.author: westey
@@ -11,7 +10,6 @@ ms.service: semantic-kernel
 
 # Using function tools with human in the loop approvals
 
-::: zone pivot="programming-language-csharp"
 
 This tutorial step shows you how to use function tools that require human approval with an agent, where the agent is built on the Azure OpenAI Chat Completion service.
 
@@ -97,8 +95,6 @@ Console.WriteLine(await agent.RunAsync(approvalMessage, thread));
 
 Whenever you are using function tools with human in the loop approvals, remember to check for `FunctionApprovalRequestContent` instances in the response, after each agent run, until all function calls have been approved or rejected.
 
-::: zone-end
-
 ## Next steps
 
 > [!div class="nextstepaction"]

agent-framework/tutorials/workflows/visualization.md

@@ -1,7 +1,6 @@
 ---
 title: Workflow Visualization
 description: Learn how to visualize workflows using the Agent Framework.
-zone_pivot_groups: programming-languages
 author: TaoChenOSU
 ms.topic: tutorial
 ms.author: taochen
@@ -11,7 +10,6 @@ ms.service: semantic-kernel
 
 # Visualizing Workflows
 
-::: zone pivot="programming-language-python"
 
 ## Overview
 
@@ -306,5 +304,3 @@ if os.getenv("CI"):
 ### Running the Example
 
 For the complete working implementation with visualization, see the [Concurrent with Visualization sample](https://github.com/microsoft/agent-framework/blob/main/python/samples/getting_started/workflows/visualization/concurrent_with_visualization.py).
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-::: zone-end

agent-framework/user-guide/workflows/observability.md

@@ -1,7 +1,6 @@
 ---
 title: Microsoft Agent Framework Workflows - Observability
 description: In-depth look at Observability in Microsoft Agent Framework Workflows.
-zone_pivot_groups: programming-languages
 author: TaoChenOSU
 ms.topic: tutorial
 ms.author: taochen
@@ -15,8 +14,6 @@ Observability provides insights into the internal state and behavior of workflow
 
 Aside from the standard [GenAI telemetry](https://opentelemetry.io/docs/specs/semconv/gen-ai/), Agent Framework Workflows emits additional spans, logs, and metrics to provide deeper insights into workflow execution. These observability features help developers understand the flow of messages, the performance of executors, and any errors that may occur.
 
-::: zone pivot="programming-language-python"
-
 ## Enable Observability
 
 Observability is enabled framework-wide by setting the `ENABLE_OTEL=true` environment variable or calling `setup_observability()` at the beginning of your application.
@@ -52,8 +49,6 @@ For example:
 
 ![Span Relationships](./resources/images/workflow-trace.png)
 
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 ## Next Steps
 
 - [Learn how to use agents in workflows](./using-agents.md) to build intelligent workflows.

agent-framework/user-guide/workflows/orchestrations/handoff.md

@@ -1,7 +1,6 @@
 ---
 title: Microsoft Agent Framework Workflows Orchestrations - Handoff
 description: In-depth look at Handoff Orchestrations in Microsoft Agent Framework Workflows.
-zone_pivot_groups: programming-languages
 author: TaoChenOSU
 ms.topic: tutorial
 ms.author: taochen
@@ -30,8 +29,6 @@ While agent-as-tools is commonly considered as a multi-agent pattern and it may
 - How to build interactive workflows with dynamic agent routing
 - How to handle multi-turn conversations with agent switching
 
-::: zone pivot="programming-language-csharp"
-
 In handoff orchestration, agents can transfer control to one another based on context, allowing for dynamic routing and specialized expertise handling.
 
 ## Set Up the Azure OpenAI Client
@@ -152,8 +149,6 @@ math_tutor: I'd be happy to help with calculus integration! Integration is the r
 - **Multi-turn Support**: Supports ongoing conversations with seamless agent switching
 - **Specialized Expertise**: Each agent focuses on their domain while collaborating through handoffs
 
-::: zone-end
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 ## Next steps
 
 > [!div class="nextstepaction"]

agent-framework/user-guide/workflows/visualization.md

@@ -1,7 +1,6 @@
 ---
 title: Microsoft Agent Framework Workflows - Visualization
 description: In-depth look at Visualization in Microsoft Agent Framework Workflows.
-zone_pivot_groups: programming-languages
 author: TaoChenOSU
 ms.topic: tutorial
 ms.author: taochen
@@ -13,8 +12,6 @@ ms.service: semantic-kernel
 
 Sometimes a workflow that has multiple executors and complex interactions can be hard to understand from just reading the code. Visualization can help you see the structure of the workflow more clearly, so that you can verify that it has the intended design.
 
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-
 Workflow visualization is done via a `WorkflowViz` object that can be instantiated with a `Workflow` object. The `WorkflowViz` object can then generate visualizations in different formats, such as Graphviz DOT format or Mermaid diagram format.
 
 > [!TIP]
@@ -70,5 +67,3 @@ flowchart TD
 or in Graphviz DOT format:
 
 ![Workflow Diagram](./resources/images/workflow-viz.svg)
-
-::: zone-end