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add json_mode to DevLead, simplify AzureGenie (#71)

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Kosta Petan 2024-05-27 12:38:42 +02:00 committed by GitHub
parent c226391a29
commit 9d5830032d
5 changed files with 29 additions and 73 deletions
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1
README.md
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@ -11,6 +11,7 @@ At the moment the library resides in `src/` only, but we plan to publish them as
We have created a few examples to help you get started with the framework and to explore its capabilities.
- [GitHub Dev Team Sample](samples/gh-flow/README.md): Build an AI Developer Team using event-driven agents, that help you automate the requirements engineering, planning, and coding process on GitHub.
- [Marketing Team Sample](samples/marketing/README.md): Create a marketing campaign using a content writer, graphic designer and social media manager.
## Contributing

44
readme.md
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@ -1,44 +0,0 @@
> ⚠️ This project is still an experimentation phase and is not intended to be used in production yet.
# AI Agents Framework
An opinionated .NET framework, that is built on top of Semantic Kernel and Orleans, which helps creating and hosting event-driven AI Agents.
At the moment the library resides in `src/` only, but we plan to publish them as a Nuget Package in the future.
## Examples
We have created a few examples to help you get started with the framework and to explore its capabilities.
- [GitHub Dev Team Sample](samples/gh-flow/README.md): Build an AI Developer Team using event-driven agents, that help you automate the requirements engineering, planning, and coding process on GitHub.
## Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit <https://cla.opensource.microsoft.com>.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
## Legal Notices
Microsoft and any contributors grant you a license to the Microsoft documentation and other content
in this repository under the [Creative Commons Attribution 4.0 International Public License](https://creativecommons.org/licenses/by/4.0/legalcode),
see the [LICENSE](LICENSE) file, and grant you a license to any code in the repository under the [MIT License](https://opensource.org/licenses/MIT), see the
[LICENSE-CODE](LICENSE-CODE) file.
Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation
may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries.
The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks.
Microsoft's general trademark guidelines can be found at <http://go.microsoft.com/fwlink/?LinkID=254653>.
Privacy information can be found at <https://privacy.microsoft.com/en-us/>
Microsoft and any contributors reserve all other rights, whether under their respective copyrights, patents,
or trademarks, whether by implication, estoppel or otherwise.

45
samples/gh-flow/src/Microsoft.AI.DevTeam/Agents/AzureGenie.cs
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@ -2,7 +2,6 @@
using Microsoft.AI.Agents.Orleans;
using Microsoft.AI.DevTeam.Events;
using Microsoft.AI.DevTeam.Extensions;
using System.Globalization;
namespace Microsoft.AI.DevTeam;
@ -24,44 +23,36 @@ public class AzureGenie : Agent
throw new ArgumentNullException(nameof(item));
}
var data = item.Data ?? throw new ArgumentNullException(nameof(item));
var parentNumber = data.TryParseLong("parentNumber");
var issueNumber = data.TryParseLong("issueNumber");
var org = data["org"].ToString();
var repo = data["repo"].ToString();
var subject = $"{org}/{repo}/{issueNumber}";
switch (item.Type)
{
case nameof(GithubFlowEventType.ReadmeCreated):
await Store(org, repo, parentNumber, issueNumber, "readme", "md", "output", data["readme"].ToString());
{
var context = item.ToGithubContext();
await Store(context.Org,context.Repo, context.ParentNumber.Value, context.IssueNumber, "readme", "md", "output", item.Data["readme"]);
await PublishEvent(Consts.MainNamespace, this.GetPrimaryKeyString(), new Event
{
Type = nameof(GithubFlowEventType.ReadmeStored),
Subject = subject,
Data = new Dictionary<string, string> {
{ "org", org },
{ "repo", repo },
{ "issueNumber", $"{issueNumber}" },
{ "parentNumber", $"{parentNumber}" }
}
Subject = context.Subject,
Data = context.ToData()
});
break;
break;
}
case nameof(GithubFlowEventType.CodeCreated):
await Store(org, repo, parentNumber, issueNumber, "run", "sh", "output", data["code"].ToString());
await RunInSandbox(org, repo, parentNumber, issueNumber);
{
var context = item.ToGithubContext();
await Store(context.Org,context.Repo, context.ParentNumber.Value, context.IssueNumber, "run", "sh", "output", item.Data["code"]);
await RunInSandbox(context.Org,context.Repo, context.ParentNumber.Value, context.IssueNumber);
await PublishEvent(Consts.MainNamespace, this.GetPrimaryKeyString(), new Event
{
Type = nameof(GithubFlowEventType.SandboxRunCreated),
Subject = subject,
Data = new Dictionary<string, string> {
{ "org", org },
{ "repo", repo },
{ "issueNumber", $"{issueNumber}" },
{ "parentNumber", $"{parentNumber}" }
}
Subject = context.Subject,
Data = context.ToData()
});
break;
break;
}
default:
break;
}

9
samples/gh-flow/src/Microsoft.AI.DevTeam/Agents/DeveloperLead/DeveloperLead.cs
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@ -2,6 +2,7 @@ using Microsoft.AI.Agents.Abstractions;
using Microsoft.AI.Agents.Orleans;
using Microsoft.AI.DevTeam.Events;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Connectors.OpenAI;
using Microsoft.SemanticKernel.Memory;
using Orleans.Runtime;
@ -65,7 +66,13 @@ public class DeveloperLead : AiAgent<DeveloperLeadState>, ILeadDevelopers
var context = new KernelArguments { ["input"] = AppendChatHistory(ask) };
var instruction = "Consider the following architectural guidelines:!waf!";
var enhancedContext = await AddKnowledge(instruction, "waf", context);
return await CallFunction(DevLeadSkills.Plan, enhancedContext);
var settings = new OpenAIPromptExecutionSettings{
ResponseFormat = "json_object",
MaxTokens = 4096,
Temperature = 0.8,
TopP = 1
};
return await CallFunction(DevLeadSkills.Plan, enhancedContext, settings);
}
catch (Exception ex)
{

3
src/Microsoft.AI.Agents.Orleans/AiAgent.cs
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@ -45,7 +45,8 @@ public abstract class AiAgent<T> : Agent, IAiAgent where T : class, new()
public virtual async Task<string> CallFunction(string template, KernelArguments arguments, OpenAIPromptExecutionSettings? settings = null)
{
var propmptSettings = settings ?? new OpenAIPromptExecutionSettings { MaxTokens = 18000, Temperature = 0.8, TopP = 1 };
// TODO: extract this to be configurable
var propmptSettings = settings ?? new OpenAIPromptExecutionSettings { MaxTokens = 4096, Temperature = 0.8, TopP = 1 };
var function = _kernel.CreateFunctionFromPrompt(template, propmptSettings);
var result = (await _kernel.InvokeAsync(function, arguments)).ToString();
AddToHistory(result, ChatUserType.Agent);