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agent-framework/tutorials/agents/TOC.yml

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- name: Using function tools with an agent
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- name: Using function tools with human in the loop approvals
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- name: Producing Structured Output with agents
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- name: Using an agent as a function tool
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- name: Exposing an agent as an MCP tool
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- name: Enabling observability for agents
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- name: Adding middleware to agents

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

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This will start an MCP server that exposes the agent as a tool over the MCP protocol.
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Tutorial coming soon.
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## Next steps

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

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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.
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Tutorial coming soon.
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## Next steps

agent-framework/tutorials/workflows/TOC.yml

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- name: Handle requests and responses in workflows
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- name: Checkpointing and resuming workflows
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- name: Visualizing workflows
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agent-framework/tutorials/workflows/visualization.md

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# Visualizing Workflows
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## Overview

agent-framework/user-guide/workflows/TOC.yml

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- name: Shared States
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- name: Checkpoints
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- name: Observability
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- name: Visualization
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agent-framework/user-guide/workflows/checkpoints.md

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## Next Steps
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- [Learn how to use agents in workflows](./using-agents.md) to build intelligent workflows.

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

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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.
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## Enable Observability

agent-framework/user-guide/workflows/orchestrations/TOC.yml

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- name: Sequential
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- name: Handoff
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- name: Magentic
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agent-framework/user-guide/workflows/orchestrations/handoff.md

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