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

150 lines
5.9 KiB
C#

// Copyright (c) Microsoft Corporation. All rights reserved.
// FunctionCallCodeSnippet.cs
using AutoGen;
using AutoGen.Core;
using AutoGen.OpenAI;
using FluentAssertions;
public partial class FunctionCallCodeSnippet
{
public async Task CodeSnippet4()
{
// get OpenAI Key and create config
var apiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY");
string endPoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT"); // change to your endpoint
var llmConfig = new AzureOpenAIConfig(
endpoint: endPoint,
deploymentName: "gpt-3.5-turbo-16k", // change to your deployment name
apiKey: apiKey);
#region code_snippet_4
var function = new TypeSafeFunctionCall();
var assistantAgent = new AssistantAgent(
name: "assistant",
systemMessage: "You are an assistant that convert user input to upper case.",
llmConfig: new ConversableAgentConfig
{
Temperature = 0,
ConfigList = new[]
{
llmConfig
},
FunctionContracts = new[]
{
function.WeatherReportFunctionContract,
},
});
var response = await assistantAgent.SendAsync("hello What's the weather in Seattle today? today is 2024-01-01");
response.Should().BeOfType<ToolCallMessage>();
var toolCallMessage = (ToolCallMessage)response;
toolCallMessage.ToolCalls.Count().Should().Be(1);
toolCallMessage.ToolCalls[0].FunctionName.Should().Be("WeatherReport");
toolCallMessage.ToolCalls[0].FunctionArguments.Should().Be(@"{""location"":""Seattle"",""date"":""2024-01-01""}");
#endregion code_snippet_4
}
public async Task CodeSnippet6()
{
// get OpenAI Key and create config
var apiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY");
string endPoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT"); // change to your endpoint
var llmConfig = new AzureOpenAIConfig(
endpoint: endPoint,
deploymentName: "gpt-3.5-turbo-16k", // change to your deployment name
apiKey: apiKey);
#region code_snippet_6
var function = new TypeSafeFunctionCall();
var assistantAgent = new AssistantAgent(
name: "assistant",
llmConfig: new ConversableAgentConfig
{
Temperature = 0,
ConfigList = new[]
{
llmConfig
},
FunctionContracts = new[]
{
function.WeatherReportFunctionContract,
},
},
functionMap: new Dictionary<string, Func<string, Task<string>>>
{
{ function.WeatherReportFunctionContract.Name, function.WeatherReportWrapper }, // The function wrapper for the weather report function
});
#endregion code_snippet_6
#region code_snippet_6_1
var response = await assistantAgent.SendAsync("What's the weather in Seattle today? today is 2024-01-01");
response.Should().BeOfType<TextMessage>();
var textMessage = (TextMessage)response;
textMessage.Content.Should().Be("Weather report for Seattle on 2024-01-01 is sunny");
#endregion code_snippet_6_1
}
public async Task OverriderFunctionContractAsync()
{
IAgent agent = default;
IEnumerable<IMessage> messages = new List<IMessage>();
#region overrider_function_contract
var function = new TypeSafeFunctionCall();
var reply = agent.GenerateReplyAsync(messages, new GenerateReplyOptions
{
Functions = new[] { function.WeatherReportFunctionContract },
});
#endregion overrider_function_contract
}
public async Task RegisterFunctionCallMiddlewareAsync()
{
IAgent agent = default;
#region register_function_call_middleware
var function = new TypeSafeFunctionCall();
var functionCallMiddleware = new FunctionCallMiddleware(
functions: new[] { function.WeatherReportFunctionContract },
functionMap: new Dictionary<string, Func<string, Task<string>>>
{
{ function.WeatherReportFunctionContract.Name, function.WeatherReportWrapper },
});
agent = agent!.RegisterMiddleware(functionCallMiddleware);
var reply = await agent.SendAsync("What's the weather in Seattle today? today is 2024-01-01");
#endregion register_function_call_middleware
}
public async Task TwoAgentWeatherChatTestAsync()
{
var key = Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY") ?? throw new ArgumentException("AZURE_OPENAI_API_KEY is not set");
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new ArgumentException("AZURE_OPENAI_ENDPOINT is not set");
var deploymentName = "gpt-35-turbo-16k";
var config = new AzureOpenAIConfig(endpoint, deploymentName, key);
#region two_agent_weather_chat
var function = new TypeSafeFunctionCall();
var assistant = new AssistantAgent(
"assistant",
llmConfig: new ConversableAgentConfig
{
ConfigList = new[] { config },
FunctionContracts = new[]
{
function.WeatherReportFunctionContract,
},
});
var user = new UserProxyAgent(
name: "user",
functionMap: new Dictionary<string, Func<string, Task<string>>>
{
{ function.WeatherReportFunctionContract.Name, function.WeatherReportWrapper },
});
await user.InitiateChatAsync(assistant, "what's weather in Seattle today, today is 2024-01-01", 10);
#endregion two_agent_weather_chat
}
}