Add AI Agent sample console app #1115
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Is this supposed to be binary file? GitHub can't load it for review.
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No its a txt file not sure why the diff isn't able to load the file but in GitHub the file is visible
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Not sure. Something wrong with its encoding. I tried in different browsers and also asked someone else to try with no luck.
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You were right , I've updated the file encoding and it should now be visible in the diff
| kind: remote | ||
| ``` | ||
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| 1. Configure your Azure App Configuration store with project endpoint: |
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Is this to add a key-value in appconfig store? The instruction is unclear.
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Yes, updated instructions to be more clearer, please let me know if its better, also as part of the preq should we include instructions on how to create a project and deploy a model in Foundry ?
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How about put it under examples/Python/WeatherAgent?
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Yes that is better, this has been updated, thanks
| AgentFactory(client_kwargs={"async_credential": credential, "project_endpoint": config["Agent:ProjectEndpoint"]}).create_agent_from_yaml(yaml_str) as agent, | ||
| ): | ||
| while True: | ||
| print("How can I help? (type 'quit' to exit)") |
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Since this is a weather agent, the question should be related to weather.
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Do you mean the initial prompt ? Instead of "How can I help ?", maybe we can include some sample output in the read me something like this
How can I help? (type 'quit' to exit)
User: What is the weather in Seattle ?
Agent response: I don’t have access to real-time data, but you can quickly check the current weather in Seattle
using a reliable source like [Weather.com](https://weather.com/weather/today/l/Seattle+WA) or your preferred weather app.
As a general overview, Seattle’s weather in early June is usually mild, with temperatures ranging from the mid-50s
to upper 60s °F (about 13–20°C). Expect partly cloudy skies with occasional showers.
If you need a weather forecast for a specific day or a longer period, let me know!
Press enter to continue...
How can I help? (type 'quit' to exit)
User: quit
Exiting... Goodbye...
Though because this agent has no tool configured its not able to give us real time weather data. Maybe we should update the agent yaml spec to include a tool like Bing search or openapi that gives the agent access to real time data? In this sample app we don't change any agent configuration and having a tool as part of the agent yaml spec can let users know that their tool configuration could also be part of the agent yaml spec.
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I think your proposal is reasonable, so we don't tie us to a "weather" scenario. Then we don't have to call it a WeatherAgent, but simply a ChatAgent.
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Yes and in the sample output, we can ask questions about real time data
| pip install -r requirements.txt | ||
| ``` | ||
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| 1. Configure your Azure App Configuration store with the following key-value pairs: |
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| 1. Configure your Azure App Configuration store with the following key-value pairs: | |
| 1. Add the following key-values to your Azure App Configuration store. |
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This has been updated, thanks
| - Azure App Configuration service | ||
| - Microsoft Foundry project | ||
| - Required environment variables: | ||
| - `AZURE_APPCONFIGURATION_ENDPOINT`: Endpoint URL of your Azure App Configuration instance |
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This is part of your instructions, so it's not a prereq.
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@zhenlan I wanted to confirm as part of the preq should we include instructions or link to relevant docs on how to create a project, deploy a model in Foundry and create a bing resource or to ease the set up for a user we can have a script that sets up all the resources in Foundry ?
| import asyncio | ||
| import os | ||
| from agent_framework.declarative import AgentFactory | ||
| from azure.identity.aio import DefaultAzureCredential as AsyncDefaultCredential |
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Because it causes a conflict, since on line 5 we still import DefaultAzureCredential in agent framework when constructing the AzureAIClient it expects async credentials to use for authentication (https://github.com/eavanvalkenburg/agent-framework/blob/0d9ae1920dea956856055770f71192ed6317f72d/python/packages/azure-ai/agent_framework_azure_ai/_client.py#L89) or if credential is not provided project_client should be provided
This PR
Adds the AI agent sample console app, that we will include in the AI Agent configuration doc. The agent is created declaratively check out creating agents declaratively for more information.
Sample yaml agent spec used for this sample
In the future we will build on this sample and include tool configuration to show case dynamic configuration.