Xiaoyun Zhang 600bd3f2fe
Bring Dotnet AutoGen (#924)
* update readme

* update

* update

* update

* update

* update

* update

* add sample project

* revert notebook change back

* update

* update interactive version

* add nuget package

* refactor Message

* update example

* add azure nightly build pipeline

* Set up CI with Azure Pipelines

[skip ci]

* Update nightly-build.yml for Azure Pipelines

* add dotnet interactive package

* add dotnet interactive package

* update pipeline

* add nuget feed back

* remove dotnet-tool feed

* remove dotnet-tool feed comment

* update pipeline

* update build name

* Update nightly-build.yml

* Delete .github/workflows/dotnet-ci.yml

* update

* add working_dir to use step

* add initateChat api

* update oai package

* Update dotnet-build.yml

* Update dotnet-run-openai-test-and-notebooks.yml

* update build workflow

* update build workflow

* update nuget feed

* update nuget feed

* update aoai and sk version

* Update InteractiveService.cs

* add support for GPT 4V

* add DalleAndGPT4V example

* update example

* add user proxy agent

* add readme

* bump version

* update example

* add dotnet interactive hook

* update

* udpate tests

* add website

* update index.md

* add docs

* update doc

* move sk dependency out of core package

* udpate doc

* Update Use-function-call.md

* add type safe function call document

* update doc

* update doc

* add dock

* Update Use-function-call.md

* add GenerateReplyOptions

* remove IChatLLM

* update version

* update doc

* update website

* add sample

* fix link

* add middleware agent

* clean up doc

* bump version

* update doc

* update

* add Other Language

* remove warnings

* add sign.props

* add sign step

* fix pipelien

* auth

* real sign

* disable PR trigger

* update

* disable PR trigger

* use microbuild machine

* update build pipeline to add publish to internal feed

* add internal feed

* fix build pipeline

* add dotnet prefix

* update ci

* add build number

* update run number

* update source

* update token

* update

* remove adding source

* add publish to github package

* try again

* try again

* ask for write pacakge

* disable package when branch is not main

* update

* implement streaming agent

* add test for streaming function call

* update

* fix #1588

* enable PR check for dotnet branch

* add website readme

* only publish to dotnet feed when pushing to dotnet branch

* remove openai-test-and-notebooks workflow

* update readme

* update readme

* update workflow

* update getting-start

* upgrade test and sample proejct to use .net 8

* fix global.json format && make loadFromConfig API internal only before implementing

* update

* add support for LM studio

* add doc

* Update README.md

* add push and workflow_dispatch trigger

* disable PR for main

* add dotnet env

* Update Installation.md

* add nuget

* refer to newtonsoft 13

* update branch to dotnet in docfx

* Update Installation.md

* pull out HumanInputMiddleware and FunctionCallMiddleware

* fix tests

* add link to sample folder

* refactor message

* refactor over IMessage

* add more tests

* add more test

* fix build error

* rename header

* add semantic kernel project

* update sk example

* update dotnet version

* add LMStudio function call example

* rename LLaMAFunctin

* remove dotnet run openai test and notebook workflow

* add FunctionContract and test

* update doc

* add documents

* add workflow

* update

* update sample

* fix warning in test

* reult length can be less then maximumOutputToKeep (#1804)

* merge with main

* add option to retrieve inner agent and middlewares from MiddlewareAgent

* update doc

* adjust namespace

* update readme

* fix test

* use IMessage

* more updates

* update

* fix test

* add comments

* use FunctionContract to replace FunctionDefinition

* move AutoGen contrac to AutoGen.Core

* update installation

* refactor streamingAgent by adding StreamingMessage type

* update sample

* update samples

* update

* update

* add test

* fix test

* bump version

* add openaichat test

* update

* Update Example03_Agent_FunctionCall.cs

* [.Net] improve docs (#1862)

* add doc

* add doc

* add doc

* add doc

* add doc

* add doc

* update

* fix test error

* fix some error

* fix test

* fix test

* add more tests

* edits

---------

Co-authored-by: ekzhu <ekzhu@users.noreply.github.com>

* [.Net] Add fill form example (#1911)

* add form filler example

* update

* fix ci error

* [.Net] Add using AutoGen.Core in source generator (#1983)

* fix using namespace bug in source generator

* remove using in sourcegenerator test

* disable PR test

* Add .idea to .gitignore (#1988)

* [.Net] publish to nuget.org feed (#1987)

* publish to nuget

* update ci

* update dotnet-release

* update release pipeline

* add source

* remove empty symbol package

* update pipeline

* remove tag

* update installation guide

* [.Net] Rename some classes && APIs based on doc review (#1980)

* rename sequential group chat to round robin group chat

* rename to sendInstruction

* rename workflow to graph

* rename some api

* bump version

* move Graph to GroupChat folder

* rename fill application example

* [.Net] Improve package description (#2161)

* add discord link and update package description

* Update getting-start.md

* [.Net] Fix document comment from the most recent AutoGen.Net engineer sync (#2231)

* update

* rename RegisterPrintMessageHook to RegisterPrintMessage

* update website

* update update.md

* fix link error

* [.Net] Enable JsonMode and deterministic output in AutoGen.OpenAI OpenAIChatAgent (#2347)

* update openai version && add sample for json output

* add example in web

* update update.md

* update image url

* [.Net] Add AutoGen.Mistral package (#2330)

* add mstral client

* enable streaming support

* add mistralClientAgent

* add test for function call

* add extension

* add support for toolcall and toolcall result message

* add support for aggregate message

* implement streaming function call

* track (#2471)

* [.Net] add mistral example (#2482)

* update existing examples to use messageCOnnector

* add overview

* add function call document

* add example 14

* add mistral token count usage example

* update version

* Update dotnet-release.yml (#2488)

* update

* revert gitattributes

---------

Co-authored-by: mhensen <mh@webvize.nl>
Co-authored-by: ekzhu <ekzhu@users.noreply.github.com>
Co-authored-by: Krzysztof Kasprowicz <60486987+Krzysztof318@users.noreply.github.com>
2024-04-26 16:21:46 +00:00

137 lines
5.7 KiB
C#

// Copyright (c) Microsoft Corporation. All rights reserved.
// OpenAICodeSnippet.cs
#region using_statement
using AutoGen.Core;
using AutoGen.OpenAI;
using AutoGen.OpenAI.Extension;
using Azure.AI.OpenAI;
#endregion using_statement
using FluentAssertions;
namespace AutoGen.BasicSample.CodeSnippet;
#region weather_function
public partial class Functions
{
[Function]
public async Task<string> GetWeather(string location)
{
return "The weather in " + location + " is sunny.";
}
}
#endregion weather_function
public partial class OpenAICodeSnippet
{
[Function]
public async Task<string> GetWeather(string location)
{
return "The weather in " + location + " is sunny.";
}
public async Task CreateOpenAIChatAgentAsync()
{
#region create_openai_chat_agent
var openAIKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new Exception("Please set OPENAI_API_KEY environment variable.");
var modelId = "gpt-3.5-turbo";
var openAIClient = new OpenAIClient(openAIKey);
// create an open ai chat agent
var openAIChatAgent = new OpenAIChatAgent(
openAIClient: openAIClient,
name: "assistant",
modelName: modelId,
systemMessage: "You are an assistant that help user to do some tasks.");
// OpenAIChatAgent supports the following message types:
// - IMessage<ChatRequestMessage> where ChatRequestMessage is from Azure.AI.OpenAI
var helloMessage = new ChatRequestUserMessage("Hello");
// Use MessageEnvelope.Create to create an IMessage<ChatRequestMessage>
var chatMessageContent = MessageEnvelope.Create(helloMessage);
var reply = await openAIChatAgent.SendAsync(chatMessageContent);
// The type of reply is MessageEnvelope<ChatResponseMessage> where ChatResponseMessage is from Azure.AI.OpenAI
reply.Should().BeOfType<MessageEnvelope<ChatResponseMessage>>();
// You can un-envelop the reply to get the ChatResponseMessage
ChatResponseMessage response = reply.As<MessageEnvelope<ChatResponseMessage>>().Content;
response.Role.Should().Be(ChatRole.Assistant);
#endregion create_openai_chat_agent
#region create_openai_chat_agent_streaming
var streamingReply = await openAIChatAgent.GenerateStreamingReplyAsync(new[] { chatMessageContent });
await foreach (var streamingMessage in streamingReply)
{
streamingMessage.Should().BeOfType<MessageEnvelope<StreamingChatCompletionsUpdate>>();
streamingMessage.As<MessageEnvelope<StreamingChatCompletionsUpdate>>().Content.Role.Should().Be(ChatRole.Assistant);
}
#endregion create_openai_chat_agent_streaming
#region register_openai_chat_message_connector
// register message connector to support more message types
var agentWithConnector = openAIChatAgent
.RegisterMessageConnector();
// now the agentWithConnector supports more message types
var messages = new IMessage[]
{
MessageEnvelope.Create(new ChatRequestUserMessage("Hello")),
new TextMessage(Role.Assistant, "Hello", from: "user"),
new MultiModalMessage(Role.Assistant,
[
new TextMessage(Role.Assistant, "Hello", from: "user"),
],
from: "user"),
new Message(Role.Assistant, "Hello", from: "user"), // Message type is going to be deprecated, please use TextMessage instead
};
foreach (var message in messages)
{
reply = await agentWithConnector.SendAsync(message);
reply.Should().BeOfType<TextMessage>();
reply.As<TextMessage>().From.Should().Be("assistant");
}
#endregion register_openai_chat_message_connector
}
public async Task OpenAIChatAgentGetWeatherFunctionCallAsync()
{
#region openai_chat_agent_get_weather_function_call
var openAIKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new Exception("Please set OPENAI_API_KEY environment variable.");
var modelId = "gpt-3.5-turbo";
var openAIClient = new OpenAIClient(openAIKey);
// create an open ai chat agent
var openAIChatAgent = new OpenAIChatAgent(
openAIClient: openAIClient,
name: "assistant",
modelName: modelId,
systemMessage: "You are an assistant that help user to do some tasks.")
.RegisterMessageConnector();
#endregion openai_chat_agent_get_weather_function_call
#region create_function_call_middleware
var functions = new Functions();
var functionCallMiddleware = new FunctionCallMiddleware(
functions: [functions.GetWeatherFunctionContract], // GetWeatherFunctionContract is auto-generated from the GetWeather function
functionMap: new Dictionary<string, Func<string, Task<string>>>
{
{ functions.GetWeatherFunctionContract.Name, functions.GetWeatherWrapper } // GetWeatherWrapper is a wrapper function for GetWeather, which is also auto-generated
});
openAIChatAgent = openAIChatAgent.RegisterMiddleware(functionCallMiddleware);
#endregion create_function_call_middleware
#region chat_agent_send_function_call
var reply = await openAIChatAgent.SendAsync("what is the weather in Seattle?");
reply.GetContent().Should().Be("The weather in Seattle is sunny.");
reply.GetToolCalls().Count.Should().Be(1);
reply.GetToolCalls().First().Should().Be(this.GetWeatherFunctionContract.Name);
#endregion chat_agent_send_function_call
}
}