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Session Resources (English) #58
Replies: 12 comments 22 replies
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Hi, do we have recording for the live stream? Cuz I am in the UTC+8 time zone, the time difference might cause me to miss some of the live stream. Thank you. |
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All session recordings can be found on our landing page after each livestream concludes! Pamela has also linked the recording. |
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Awesome！Thankyou！！ |
Heads up, the https://aka.ms/agentshack/sessions link is landing on default Bing search page. Thank you MS team for keeping all the learning links for the AI_Agencts_Hackathon in order, there is much content. A bit of feedback, can each of the sessions also be tracked as a learning module? The learn points would be nice to capture. Thanks ! |
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Thanks, just fixed that link! I'm not sure how to track sessions as learning modules, I'll ask the learn team. |
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Is it possible to build a team with 2 member: 1 team lead and 1 member |
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Yes, teams can be between 1 to 4 people in size. |
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Hi. Are we limited to what agentic frameworks that we can use for the hackathon? For example, is AWS allowed or are we only limited to Azure? |
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We aren't restricting the use of other frameworks! However, we are not providing many sessions on those frameworks, so you will need to already be familiar with them! Additionally, as your judging panel may not be as familiar with non-MSFT services, it's very important to create a good README when submitting your project. Most of our sessions are focused on Azure AI services so if you are newer to agents development, I'd recommend starting with those. |
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Hello Aashish Hope you are doing well,
well, we can able to Use AWS as well it's not mandatory to stick only for
Azure
…On Wed, Apr 9, 2025 at 11:31 PM Aashish Anand ***@***.***> wrote:
Hi. Are we limited to what agentic frameworks that we can use for the
hackathon? For example, is AWS allowed or are we only limited to Azure?
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Hi, I have completed the registration but haven't received a confirmation email. Can anyone guide me or provide the registration link? |
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Please reach out to reactor@microsoft.com to confirm your registration! |
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Hi, in the Build your code-first app with Azure AI Agent Service session, I look into the README file trying to follow the guidlines, but how do I get these below: So appreciate if you help me, thx! |
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hey there, check out the workshop mentioned in the session. https://aka.ms/aihack/agent-service/docs Specifically head to https://microsoft.github.io/build-your-first-agent-with-azure-ai-agent-service-workshop/introduction-self-guided/ Cheers Dave |
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Hi Dave, The setup guide is missing in the docs. This was mentioned in the video by Aaron -
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hey there - click Getting Started, then select "self-paced learners" 
Cheers Dave |
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Thanks Dave |
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Hi, This is my first ever attempt in the field of AI. I am trying to build an agent following a sample example provided in one of the hackathon sessions. It requires 60K TPM. But when I am trying to deploy the gpt-4o model (global standard) in Azure AI foundry , I'm being given only 50K TPM. There is no quota in other regions. I tried editing the model after deployment but there is no option to increase the tokens. Do I need to do anything to be able to increase the TPM? |
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Which sample are you trying to deploy? Usually you can change the capacity request down to 50K TPM, if that's all the quota you have. |
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Thank you so much these resources are very valuable to us |
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Hi Thank you for wonderful sessions. Please share any code samples associated with the session Build your own agent with OpenAI, .NET, and Copilot Studio (with Gomolemo). |
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Hi Harsha Fernando (@harshadf)! Please find the code sample here: https://aka.ms/PodcastMarketingAPICode You will need an Azure OpenAI Service resource as well as an OpenAI key. This video will show you how to create both: OpenAI and Azure OpenAI: A .NET SDK Convergence Story Then check this out for using Managed Identity to authenticate to Azure OpenAI with .NET: https://learn.microsoft.com/en-us/training/modules/intro-azure-openai-managed-identity-auth-dotnet/ |
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Thank you very much Gomolemo Mohapi (@gomomohapi)🙌 |
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Hi , |
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Hi, |
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I understand that you are adding customStatus to the context. So you must have an API endpoint that is used by the frontend to poll for the status. Is that right greenie-msft ? |
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Hi greenie-msft , Just checking in to see if the code has been made public yet. Any updates? Thanks ! |
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Hi Rakesh Lakshminarayana (@rakeshl4), apologies for the late response, many of our engineers and PMs are very busy right now preparing for upcoming releases. I will follow-up with Nick today! |
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Rakesh Lakshminarayana (@rakeshl4) Apologies for the delay. You're right in that I continuously set a custom status on the orchestration as it progresses through the activities. On the frontend, I'm polling the orchestration every few seconds: context.SetCustomStatus(new {
step = "Starting",
message = $"Starting travel planning for {travelRequest.UserName}",
progress = 0
});The Frontend is hitting this endpoint: [Function(nameof(GetTravelPlanningStatus))]
public async Task<HttpResponseData> GetTravelPlanningStatus(
[HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "travel-planner/status/{instanceId}")] HttpRequestData req,
string instanceId,
[DurableClient] DurableTaskClient client)
{
_logger.LogInformation("Getting status for orchestration with ID = {instanceId}", instanceId);
// Get the orchestration status
var status = await client.GetInstanceAsync(instanceId, true);
_logger.LogInformation("Status for instance = {instanceId}", status); Frontend progress tracker: import React from 'react';
const ProgressTracker = ({ status }) => {
if (!status) return null;
// Default values
const progress = status.progress || 0;
const message = status.message || 'Processing your request...';
const step = status.step || 'Starting';
// Custom styling based on the current step
const getStepColor = () => {
switch (step) {
case 'WaitingForApproval':
return '#f39c12'; // amber
case 'BookingTrip':
return '#27ae60'; // green
default:
return '#3498db'; // blue
}
};
return (
<div className="progress-tracker">
<div className="progress-bar-container">
<div
className="progress-bar-fill"
style={{
width: `${progress}%`,
backgroundColor: getStepColor()
}}
/>
</div>
<div className="progress-details">
<h3>{message}</h3>
{status.destination && (
<p className="destination">Destination: <strong>{status.destination}</strong></p>
)}
{status.documentUrl && (
<p className="document-link">
<a href={status.documentUrl} target="_blank" rel="noopener noreferrer">
View Travel Plan Document
</a>
</p>
)}
</div>
</div>
);
};
export default ProgressTracker;`Hope this helps. Please let me know if you have any further questions. |
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Amazing! |
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Could, you please provide slides for the training Build real time voice agents with Azure Communication Services (with Anuj)? |
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I've forwarded your request to the speaker for that session. |
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Session Resources (aka.ms/agentshack/resources)
This discussion thread will be updated to include links to session resources as they go live (e.g. slides, repos, etc.)!
If you have any questions following a session, please paste here and the team will relay to the appropriate speaker!
Take this link back to the landing page for the hack!
AI Agents Hackathon Kickoff (with Korey, Marlene, Pamela, Josh)
Build your code-first app with Azure AI Agent Service (with Carlotta, Marlene)
AI Agents for Java using Azure AI Foundry (with Brian)
Build your code-first app with Azure AI Agent Service (with Dave)
Build and extend agents for Microsoft 365 Copilot (with Paulo, Kamal)
Transforming business processes with multi-agent AI using Semantic Kernel (with Shawn)
Build your code-first app with Azure AI Agent Service (.NET) (with Aaron)
Building custom engine agents with Azure AI Foundry and Visual Studio Code (with Ayca, Carter)
Your first AI Agent in JS with Azure AI Agent Service (with Wassim)
AI Agents + .NET Aspire (with Bruno)
Prototyping AI Agents with GitHub Models (with Pamela)
Multi-agent AI apps with Semantic Kernel and Azure Cosmos DB (with Abhishek, Sandeep, Sanjeetharan)
Building declarative agents with Microsoft Copilot Studio & Teams Toolkit (with Daniel, Garry)
Prompting is the New Scripting: Meet GenAIScript (with Yohan)
Multi-Agent API with LangGraph and Azure Cosmos DB (with James, Aayush, Theo)
Mastering Agentic RAG (with Farzad)
Build your own agent with OpenAI, .NET, and Copilot Studio (with Gomolemo)
Building smarter Python AI agents with code interpreters (with Anthony)
Building Java AI Agents using LangChain4j and Dynamic Sessions (with Brian)
Agentic Voice Mode Unplugged (with Seth)
Knowledge-augmented agents with LlamaIndex.TS (with Laurie)
Building a AI Agent with Prompty and Azure AI Foundry (with Bethany)
Real-time Multi-Agent LLM solutions with SignalR, gRPC, and HTTP based on Semantic Kernel (with Brandon)
Demystifying Agents: Building an AI Agent from Scratch on Your Own Data using Azure SQL (with Davide)
VoiceRAG: talk to your data (with Enrique)
Building Multi-Agent Apps on top of Azure PostgreSQL (with Arnaud, Mehrsa)
Agentic RAG with reflection (with Matt, Pamela)
Engineering agents that Think, Act, and Govern themselves (with Henri, Thomas)
Extending AI Agents with Azure Functions (with Nick, Eamon)
Build real time voice agents with Azure Communication Services (with Anuj)
Irresponsible AI Agents (with Rory)
Securing AI agents on Azure (with Joylynn, Pamela)
The Art of AI Embodiment: Real-Time Interactive Experiences with Azure OpenAI GPT-4o and 3D Avatars (with Cedric, April)
Evaluating Agents (with April)
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