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fix: update "Return to top" links for consistency in blog post
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src/content/blog/enterprise-streaming-agents-with-azure-ai-agent-service-and-gradio.md

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- [Detailed Walkthrough](#detailed-walkthrough)
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- [Conclusion](#conclusion)
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## Introduction
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- Streaming partial responses in real time with a custom event handler.
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- Building an interactive chat interface with Gradio.
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## Repository Overview
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- **enterprise-data/**: Includes HR policies and other internal documents that the agent uses for context.
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- **.env.example**: Provides environment variable configurations for secret keys and connection strings.
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## Key Features
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- **Real-Time Streaming**: Display partial agent responses as they stream from the server using a custom event handler.
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- **Interactive Gradio UI**: A Gradio interface that mirrors real-world chat applications, making it easy to test and extend.
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## Setup and Installation
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```
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> Note: Be sure to keep your credentials safe and add `.env` to your `.gitignore`.
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## Detailed Walkthrough
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The core logic of the enterprise agent is demonstrated in the Jupyter Notebook. Here’s an overview of the main steps:
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You can examine the full notebook for more complete details on configuring the tools, handling events, and managing conversation threads.
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## Conclusion
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![Streaming Enterprise Agent](https://github.com/nicholasdbrady/cookbook/blob/main/src/assets/agent-service-demo.gif?raw=true)
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Happy innovating!
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