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119 lines
4.9 KiB
C#
119 lines
4.9 KiB
C#
using Elsa.Extensions;
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using Elsa.Workflows.Core;
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using Elsa.Workflows.Core.Attributes;
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using Elsa.Workflows.Core.Models;
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using JetBrains.Annotations;
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using Microsoft.Extensions.Logging;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.Connectors.Memory.Qdrant;
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using Microsoft.SemanticKernel.Connectors.AI.OpenAI.TextEmbedding;
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using Microsoft.SemanticKernel.Memory;
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using Microsoft.SemanticKernel.Orchestration;
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using Microsoft.SemanticKernel.Reliability;
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namespace Elsa.SemanticKernel;
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using System;
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using System.Text.Json;
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using System.Threading.Tasks;
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using skills;
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/// <summary>
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/// Invoke a Semantic Kernel skill.
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/// </summary>
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[Activity("Elsa", "SemanticKernelSkill", "Invoke a Semantic Kernel skill. ", DisplayName = "Semantic Kernel Skill", Kind = ActivityKind.Task)]
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[PublicAPI]
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public class SemanticKernelSkill : CodeActivity<string>
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{
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[Input(
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Description = "System Prompt.",
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UIHint = InputUIHints.MultiText,
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DefaultValue = new string[0])]
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public Input<string> SystemPrompt { get; set; } = default!;
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[Input(
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Description = "User Input Prompt.",
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UIHint = InputUIHints.MultiText,
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DefaultValue = new string[0])]
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public Input<string> Prompt { get; set; }
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[Input(
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Description = "Max retries",
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UIHint = InputUIHints.SingleLine,
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DefaultValue = 9)]
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public Input<int> MaxRetries { get; set; }
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[Input(
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Description = "The skill to invoke from the semantic kernel",
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UIHint = InputUIHints.SingleLine,
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DefaultValue = "PM")]
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public Input<string> SkillName { get; set; }
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[Input(
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Description = "The function to invoke from the skill",
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UIHint = InputUIHints.SingleLine,
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DefaultValue = "README")]
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public Input<string> FunctionName { get; set; }
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/// <inheritdoc />
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protected override async ValueTask ExecuteAsync(ActivityExecutionContext context)
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{
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var skillName = SkillName.Get(context);
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var functionName = FunctionName.Get(context);
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var systemPrompt = SystemPrompt.Get(context);
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var prompt = Prompt.Get(context);
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var maxRetries = MaxRetries.Get(context);
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var result = await ChatCompletion<string>(skillName, functionName, prompt, maxRetries);
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context.SetResult(result);
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}
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private async Task<T> ChatCompletion<T>(string skillName, string functionName, string prompt, int maxRetries)
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{
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var kernelSettings = KernelSettings.LoadSettings();
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var kernelConfig = new KernelConfig();
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using ILoggerFactory loggerFactory = LoggerFactory.Create(builder =>
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{
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builder
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.SetMinimumLevel(kernelSettings.LogLevel ?? LogLevel.Warning);
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});
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/* var memoryStore = new QdrantMemoryStore(new QdrantVectorDbClient("http://qdrant", 1536, port: 6333));
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var embedingGeneration = new AzureTextEmbeddingGeneration(kernelSettings.EmbeddingDeploymentOrModelId, kernelSettings.Endpoint, kernelSettings.ApiKey);
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var semanticTextMemory = new SemanticTextMemory(memoryStore, embedingGeneration);
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*/
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var kernel = new KernelBuilder()
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.WithLogger(loggerFactory.CreateLogger<IKernel>())
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.WithAzureChatCompletionService(kernelSettings.DeploymentOrModelId, kernelSettings.Endpoint, kernelSettings.ApiKey, true, kernelSettings.ServiceId, true)
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//.WithMemory(semanticTextMemory)
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.WithConfiguration(kernelConfig)
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.Configure(c => c.SetDefaultHttpRetryConfig(new HttpRetryConfig
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{
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MaxRetryCount = maxRetries,
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UseExponentialBackoff = true,
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// MinRetryDelay = TimeSpan.FromSeconds(2),
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// MaxRetryDelay = TimeSpan.FromSeconds(8),
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MaxTotalRetryTime = TimeSpan.FromSeconds(300),
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// RetryableStatusCodes = new[] { HttpStatusCode.TooManyRequests, HttpStatusCode.RequestTimeout },
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// RetryableExceptions = new[] { typeof(HttpRequestException) }
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}))
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.Build();
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/* var interestingMemories = kernel.Memory.SearchAsync("ImportedMemories", prompt, 2);
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var wafContext = "Consider the following contextual snippets:";
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await foreach (var memory in interestingMemories)
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{
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wafContext += $"\n {memory.Metadata.Text}";
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} */
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var skillConfig = SemanticFunctionConfig.ForSkillAndFunction(skillName, functionName);
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var function = kernel.CreateSemanticFunction(skillConfig.PromptTemplate, skillConfig.Name, skillConfig.SkillName,
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skillConfig.Description, skillConfig.MaxTokens, skillConfig.Temperature,
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skillConfig.TopP, skillConfig.PPenalty, skillConfig.FPenalty);
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var context = new ContextVariables();
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context.Set("input", prompt);
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//context.Set("wafContext", wafContext);
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var answer = await kernel.RunAsync(context, function).ConfigureAwait(false);
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var result = typeof(T) != typeof(string) ? JsonSerializer.Deserialize<T>(answer.ToString()) : (T)(object)answer.ToString();
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return result;
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}
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} |