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.NET: Declarative Agents (#1301)
* AgentFactory abstractions and ChatClient implementation * Add a getitng started sample * Update to latest M.B.OM * Add some additional samples * Work in progress * Merge latest from main * Start to add support for using different kinds of connections * Remove IsSupported * Remove IsSupported * Refactor code to create clients to support DI * Add some unit tests * Update based on the latest code review feedback * Add support for OOB tools when using persistent agent sdk * Fix sample naming * Fix error based on latest MEAI * Update M.B.OM package to latest * Update to the latest M.B.OM release * Remove some obsolete helper methods * Update to the latest M.B.OM version * Fix broken unit test * Update MCP sample * Bump to latest M.B.OM release * Update to latest M.B.OM release * Update to latest M.B.OM release * Switch to using ExternalModel * Update to latest M.B.OM * Resolve merge conflicts * All tests pass * All tests pass * Start to clean up the code * Start to clean up the code * More clean up * More clean up * More clean up * Fix apiType checks * Run dotnet format * Fix typo * Address code review feedback * Add all properties for MCP tool * Address code review feedback * Address code review feedback * Fix merge * Undo warnings * Undo test change * More copilot feedback * Make class sealed * Address additional core review feedback --------- Co-authored-by: Mark Wallace <markwallace@microsoft.com>
This commit is contained in:
Mark Wallace
co-authored by
Mark Wallace
Mark Wallace
parent
105dc82c39
commit
aaa91954c5
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// Copyright (c) Microsoft. All rights reserved.
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using System.Collections.Generic;
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using System.ComponentModel;
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using System.Linq;
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using System.Text.Json.Serialization;
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using Microsoft.Bot.ObjectModel;
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using Microsoft.Extensions.AI;
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using Microsoft.Extensions.Configuration;
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namespace Microsoft.Agents.AI.Declarative.UnitTests;
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/// <summary>
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/// Unit tests for <see cref="AgentBotElementYaml"/>
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/// </summary>
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public sealed class AgentBotElementYamlTests
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{
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[Theory]
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[InlineData(PromptAgents.AgentWithEverything)]
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[InlineData(PromptAgents.AgentWithApiKeyConnection)]
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[InlineData(PromptAgents.AgentWithEnvironmentVariables)]
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[InlineData(PromptAgents.AgentWithOutputSchema)]
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[InlineData(PromptAgents.OpenAIChatAgent)]
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[InlineData(PromptAgents.AgentWithCurrentModels)]
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[InlineData(PromptAgents.AgentWithRemoteConnection)]
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public void FromYaml_DoesNotThrow(string text)
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{
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// Arrange & Act
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var agent = AgentBotElementYaml.FromYaml(text);
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// Assert
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Assert.NotNull(agent);
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}
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[Fact]
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public void FromYaml_Properties()
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{
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// Arrange & Act
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var agent = AgentBotElementYaml.FromYaml(PromptAgents.AgentWithEverything);
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// Assert
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Assert.NotNull(agent);
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Assert.Equal("AgentName", agent.Name);
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Assert.Equal("Agent description", agent.Description);
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Assert.Equal("You are a helpful assistant.", agent.Instructions?.ToTemplateString());
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Assert.NotNull(agent.Model);
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Assert.True(agent.Tools.Length > 0);
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}
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[Fact]
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public void FromYaml_CurrentModels()
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{
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// Arrange & Act
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var agent = AgentBotElementYaml.FromYaml(PromptAgents.AgentWithCurrentModels);
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// Assert
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Assert.NotNull(agent);
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Assert.NotNull(agent.Model);
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Assert.Equal("gpt-4o", agent.Model.ModelNameHint);
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Assert.NotNull(agent.Model.Options);
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Assert.Equal(0.7f, (float?)agent.Model.Options?.Temperature?.LiteralValue);
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Assert.Equal(0.9f, (float?)agent.Model.Options?.TopP?.LiteralValue);
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// Assert contents using extension methods
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Assert.Equal(1024, agent.Model.Options?.MaxOutputTokens?.LiteralValue);
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Assert.Equal(50, agent.Model.Options?.TopK?.LiteralValue);
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Assert.Equal(0.7f, (float?)agent.Model.Options?.FrequencyPenalty?.LiteralValue);
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Assert.Equal(0.7f, (float?)agent.Model.Options?.PresencePenalty?.LiteralValue);
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Assert.Equal(42, agent.Model.Options?.Seed?.LiteralValue);
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Assert.Equal(PromptAgents.s_stopSequences, agent.Model.Options?.StopSequences);
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Assert.True(agent.Model.Options?.AllowMultipleToolCalls?.LiteralValue);
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Assert.Equal(ChatToolMode.Auto, agent.Model.Options?.AsChatToolMode());
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}
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[Fact]
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public void FromYaml_OutputSchema()
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{
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// Arrange & Act
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var agent = AgentBotElementYaml.FromYaml(PromptAgents.AgentWithOutputSchema);
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// Assert
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Assert.NotNull(agent);
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Assert.NotNull(agent.OutputType);
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var responseFormat = agent.OutputType.AsChatResponseFormat() as ChatResponseFormatJson;
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Assert.NotNull(responseFormat);
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Assert.NotNull(responseFormat.Schema);
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}
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[Fact]
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public void FromYaml_CodeInterpreter()
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{
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// Arrange & Act
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var agent = AgentBotElementYaml.FromYaml(PromptAgents.AgentWithEverything);
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// Assert
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Assert.NotNull(agent);
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var tools = agent.Tools;
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var codeInterpreterTools = tools.Where(t => t is CodeInterpreterTool).ToArray();
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Assert.Single(codeInterpreterTools);
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var codeInterpreterTool = codeInterpreterTools[0] as CodeInterpreterTool;
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Assert.NotNull(codeInterpreterTool);
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}
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[Fact]
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public void FromYaml_FunctionTool()
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{
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// Arrange & Act
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var agent = AgentBotElementYaml.FromYaml(PromptAgents.AgentWithEverything);
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// Assert
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Assert.NotNull(agent);
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var tools = agent.Tools;
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var functionTools = tools.Where(t => t is InvokeClientTaskAction).ToArray();
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Assert.Single(functionTools);
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var functionTool = functionTools[0] as InvokeClientTaskAction;
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Assert.NotNull(functionTool);
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Assert.Equal("GetWeather", functionTool.Name);
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Assert.Equal("Get the weather for a given location.", functionTool.Description);
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// TODO check schema
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}
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[Fact]
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public void FromYaml_MCP()
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{
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// Arrange & Act
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var agent = AgentBotElementYaml.FromYaml(PromptAgents.AgentWithEverything);
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// Assert
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Assert.NotNull(agent);
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var tools = agent.Tools;
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var mcpTools = tools.Where(t => t is McpServerTool).ToArray();
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Assert.Single(mcpTools);
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var mcpTool = mcpTools[0] as McpServerTool;
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Assert.NotNull(mcpTool);
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Assert.Equal("PersonInfoTool", mcpTool.ServerName?.LiteralValue);
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var connection = mcpTool.Connection as AnonymousConnection;
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Assert.NotNull(connection);
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Assert.Equal("https://my-mcp-endpoint.com/api", connection.Endpoint?.LiteralValue);
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}
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[Fact]
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public void FromYaml_WebSearchTool()
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{
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// Arrange & Act
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var agent = AgentBotElementYaml.FromYaml(PromptAgents.AgentWithEverything);
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// Assert
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Assert.NotNull(agent);
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var tools = agent.Tools;
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var webSearchTools = tools.Where(t => t is WebSearchTool).ToArray();
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Assert.Single(webSearchTools);
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Assert.NotNull(webSearchTools[0] as WebSearchTool);
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}
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[Fact]
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public void FromYaml_FileSearchTool()
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{
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// Arrange & Act
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var agent = AgentBotElementYaml.FromYaml(PromptAgents.AgentWithEverything);
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// Assert
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Assert.NotNull(agent);
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var tools = agent.Tools;
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var fileSearchTools = tools.Where(t => t is FileSearchTool).ToArray();
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Assert.Single(fileSearchTools);
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var fileSearchTool = fileSearchTools[0] as FileSearchTool;
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Assert.NotNull(fileSearchTool);
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// Verify vector store content property exists and has correct values
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Assert.NotNull(fileSearchTool.VectorStoreIds);
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Assert.Equal(3, fileSearchTool.VectorStoreIds.LiteralValue.Length);
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Assert.Equal("1", fileSearchTool.VectorStoreIds.LiteralValue[0]);
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Assert.Equal("2", fileSearchTool.VectorStoreIds.LiteralValue[1]);
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Assert.Equal("3", fileSearchTool.VectorStoreIds.LiteralValue[2]);
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}
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[Fact]
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public void FromYaml_ApiKeyConnection()
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{
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// Arrange & Act
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var agent = AgentBotElementYaml.FromYaml(PromptAgents.AgentWithApiKeyConnection);
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// Assert
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Assert.NotNull(agent);
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Assert.NotNull(agent.Model);
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var model = agent.Model as CurrentModels;
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Assert.NotNull(model);
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Assert.NotNull(model.Connection);
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Assert.IsType<ApiKeyConnection>(model.Connection);
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var connection = model.Connection as ApiKeyConnection;
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Assert.NotNull(connection);
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Assert.Equal("https://my-azure-openai-endpoint.openai.azure.com/", connection.Endpoint?.LiteralValue);
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Assert.Equal("my-api-key", connection.Key?.LiteralValue);
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}
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[Fact]
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public void FromYaml_RemoteConnection()
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{
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// Arrange & Act
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var agent = AgentBotElementYaml.FromYaml(PromptAgents.AgentWithRemoteConnection);
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// Assert
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Assert.NotNull(agent);
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Assert.NotNull(agent.Model);
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var model = agent.Model as CurrentModels;
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Assert.NotNull(model);
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Assert.NotNull(model.Connection);
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Assert.IsType<RemoteConnection>(model.Connection);
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var connection = model.Connection as RemoteConnection;
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Assert.NotNull(connection);
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Assert.Equal("https://my-azure-openai-endpoint.openai.azure.com/", connection.Endpoint?.LiteralValue);
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}
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[Fact]
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public void FromYaml_WithEnvironmentVariables()
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{
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// Arrange
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IConfiguration configuration = new ConfigurationBuilder()
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.AddInMemoryCollection(new Dictionary<string, string?>
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{
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["OpenAIEndpoint"] = "endpoint",
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["OpenAIModelId"] = "modelId",
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["OpenAIApiKey"] = "apiKey"
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})
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.Build();
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// Act
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var agent = AgentBotElementYaml.FromYaml(PromptAgents.AgentWithEnvironmentVariables, configuration);
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// Assert
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Assert.NotNull(agent);
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Assert.NotNull(agent.Model);
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var model = agent.Model as CurrentModels;
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Assert.NotNull(model);
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Assert.NotNull(model.Connection);
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Assert.IsType<ApiKeyConnection>(model.Connection);
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//Assert.Equal("https://my-azure-openai-endpoint.openai.azure.com/", agent.Model.Connection.Endpoint?.LiteralValue);
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//Assert.Equal("apiKey", connection.Key?.LiteralValue);
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//Assert.Equal("modelId", model.Id);
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}
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/// <summary>
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/// Represents information about a person, including their name, age, and occupation, matched to the JSON schema used in the agent.
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/// </summary>
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[Description("Information about a person including their name, age, and occupation")]
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public class PersonInfo
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{
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[JsonPropertyName("name")]
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public string? Name { get; set; }
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[JsonPropertyName("age")]
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public int? Age { get; set; }
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[JsonPropertyName("occupation")]
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public string? Occupation { get; set; }
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}
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}
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+107
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// Copyright (c) Microsoft. All rights reserved.
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using System.Threading.Tasks;
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using Microsoft.Extensions.AI;
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using Moq;
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namespace Microsoft.Agents.AI.Declarative.UnitTests.ChatClient;
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/// <summary>
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/// Unit tests for <see cref="ChatClientAgentFactory"/>.
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/// </summary>
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public sealed class ChatClientAgentFactoryTests
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{
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private readonly Mock<IChatClient> _mockChatClient;
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public ChatClientAgentFactoryTests()
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{
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this._mockChatClient = new();
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}
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[Fact]
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public async Task TryCreateAsync_WithChatClientInConstructor_CreatesAgentAsync()
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{
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// Arrange
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var promptAgent = PromptAgents.CreateTestPromptAgent();
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ChatClientAgentFactory factory = new(this._mockChatClient.Object);
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// Act
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AIAgent? agent = await factory.TryCreateAsync(promptAgent);
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// Assert
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Assert.NotNull(agent);
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Assert.IsType<ChatClientAgent>(agent);
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Assert.Equal("Test Agent", agent.Name);
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Assert.Equal("Test Description", agent.Description);
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}
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[Fact]
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public async Task TryCreateAsync_Creates_ChatClientAgentAsync()
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{
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// Arrange
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var promptAgent = PromptAgents.CreateTestPromptAgent();
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ChatClientAgentFactory factory = new(this._mockChatClient.Object);
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// Act
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AIAgent? agent = await factory.TryCreateAsync(promptAgent);
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// Assert
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Assert.NotNull(agent);
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Assert.IsType<ChatClientAgent>(agent);
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var chatClientAgent = agent as ChatClientAgent;
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Assert.NotNull(chatClientAgent);
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Assert.Equal("You are a helpful assistant.", chatClientAgent.Instructions);
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Assert.NotNull(chatClientAgent.ChatClient);
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Assert.NotNull(chatClientAgent.ChatOptions);
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}
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[Fact]
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public async Task TryCreateAsync_Creates_ChatOptionsAsync()
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{
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// Arrange
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var promptAgent = PromptAgents.CreateTestPromptAgent();
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ChatClientAgentFactory factory = new(this._mockChatClient.Object);
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// Act
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AIAgent? agent = await factory.TryCreateAsync(promptAgent);
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// Assert
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Assert.NotNull(agent);
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Assert.IsType<ChatClientAgent>(agent);
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var chatClientAgent = agent as ChatClientAgent;
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Assert.NotNull(chatClientAgent?.ChatOptions);
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Assert.Equal("Provide detailed and accurate responses.", chatClientAgent?.ChatOptions?.Instructions);
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Assert.Equal(0.7F, chatClientAgent?.ChatOptions?.Temperature);
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Assert.Equal(0.7F, chatClientAgent?.ChatOptions?.FrequencyPenalty);
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Assert.Equal(1024, chatClientAgent?.ChatOptions?.MaxOutputTokens);
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Assert.Equal(0.9F, chatClientAgent?.ChatOptions?.TopP);
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Assert.Equal(50, chatClientAgent?.ChatOptions?.TopK);
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Assert.Equal(0.7F, chatClientAgent?.ChatOptions?.PresencePenalty);
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Assert.Equal(42L, chatClientAgent?.ChatOptions?.Seed);
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Assert.NotNull(chatClientAgent?.ChatOptions?.ResponseFormat);
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Assert.Equal("gpt-4o", chatClientAgent?.ChatOptions?.ModelId);
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Assert.Equal(["###", "END", "STOP"], chatClientAgent?.ChatOptions?.StopSequences);
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Assert.True(chatClientAgent?.ChatOptions?.AllowMultipleToolCalls);
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Assert.Equal(ChatToolMode.Auto, chatClientAgent?.ChatOptions?.ToolMode);
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Assert.Equal("customValue", chatClientAgent?.ChatOptions?.AdditionalProperties?["customProperty"]);
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}
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[Fact]
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public async Task TryCreateAsync_Creates_ToolsAsync()
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{
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// Arrange
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var promptAgent = PromptAgents.CreateTestPromptAgent();
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ChatClientAgentFactory factory = new(this._mockChatClient.Object);
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// Act
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AIAgent? agent = await factory.TryCreateAsync(promptAgent);
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// Assert
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Assert.NotNull(agent);
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Assert.IsType<ChatClientAgent>(agent);
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var chatClientAgent = agent as ChatClientAgent;
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Assert.NotNull(chatClientAgent?.ChatOptions?.Tools);
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var tools = chatClientAgent?.ChatOptions?.Tools;
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Assert.Equal(5, tools?.Count);
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}
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}
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+18
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<TargetFrameworks>$(ProjectsTargetFrameworks)</TargetFrameworks>
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<NoWarn>$(NoWarn);IDE1006</NoWarn>
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</PropertyGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\src\Microsoft.Agents.AI.Declarative\Microsoft.Agents.AI.Declarative.csproj" />
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</ItemGroup>
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<ItemGroup>
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<PackageReference Include="Microsoft.Bot.ObjectModel" />
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<PackageReference Include="Microsoft.Bot.ObjectModel.Json" />
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<PackageReference Include="Microsoft.Bot.ObjectModel.PowerFx" />
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</ItemGroup>
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</Project>
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// Copyright (c) Microsoft. All rights reserved.
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using Microsoft.Bot.ObjectModel;
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namespace Microsoft.Agents.AI.Declarative.UnitTests;
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internal static class PromptAgents
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{
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internal const string AgentWithEverything =
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"""
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kind: Prompt
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name: AgentName
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description: Agent description
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instructions: You are a helpful assistant.
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model:
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id: gpt-4o
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options:
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temperature: 0.7
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maxOutputTokens: 1024
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topP: 0.9
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topK: 50
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frequencyPenalty: 0.0
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presencePenalty: 0.0
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seed: 42
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responseFormat: text
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stopSequences:
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- "###"
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- "END"
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- "STOP"
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allowMultipleToolCalls: true
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tools:
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- kind: codeInterpreter
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inputs:
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- kind: HostedFileContent
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FileId: fileId123
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- kind: function
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name: GetWeather
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description: Get the weather for a given location.
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parameters:
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- name: location
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type: string
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description: The city and state, e.g. San Francisco, CA
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required: true
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- name: unit
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type: string
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description: The unit of temperature. Possible values are 'celsius' and 'fahrenheit'.
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required: false
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enum:
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- celsius
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- fahrenheit
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- kind: mcp
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serverName: PersonInfoTool
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serverDescription: Get information about a person.
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connection:
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kind: AnonymousConnection
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endpoint: https://my-mcp-endpoint.com/api
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allowedTools:
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- "GetPersonInfo"
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- "UpdatePersonInfo"
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- "DeletePersonInfo"
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approvalMode:
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kind: HostedMcpServerToolRequireSpecificApprovalMode
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AlwaysRequireApprovalToolNames:
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- "UpdatePersonInfo"
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- "DeletePersonInfo"
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NeverRequireApprovalToolNames:
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- "GetPersonInfo"
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- kind: webSearch
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name: WebSearchTool
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description: Search the web for information.
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- kind: fileSearch
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name: FileSearchTool
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description: Search files for information.
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ranker: default
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scoreThreshold: 0.5
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maxResults: 5
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maxContentLength: 2000
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vectorStoreIds:
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- 1
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- 2
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- 3
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""";
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|
||||
internal const string AgentWithOutputSchema =
|
||||
"""
|
||||
kind: Prompt
|
||||
name: Translation Assistant
|
||||
description: A helpful assistant that translates text to a specified language.
|
||||
model:
|
||||
id: gpt-4o
|
||||
options:
|
||||
temperature: 0.9
|
||||
topP: 0.95
|
||||
instructions: You are a helpful assistant. You answer questions in {language}. You return your answers in a JSON format.
|
||||
additionalInstructions: You must always respond in the specified language.
|
||||
tools:
|
||||
- kind: codeInterpreter
|
||||
template:
|
||||
format: PowerFx # Mustache is the other option
|
||||
parser: None # Prompty and XML are the other options
|
||||
inputSchema:
|
||||
properties:
|
||||
language: string
|
||||
outputSchema:
|
||||
properties:
|
||||
language:
|
||||
type: string
|
||||
required: true
|
||||
description: The language of the answer.
|
||||
answer:
|
||||
type: string
|
||||
required: true
|
||||
description: The answer text.
|
||||
""";
|
||||
|
||||
internal const string AgentWithApiKeyConnection =
|
||||
"""
|
||||
kind: Prompt
|
||||
name: AgentName
|
||||
description: Agent description
|
||||
instructions: You are a helpful assistant.
|
||||
model:
|
||||
id: gpt-4o
|
||||
connection:
|
||||
kind: ApiKey
|
||||
endpoint: https://my-azure-openai-endpoint.openai.azure.com/
|
||||
key: my-api-key
|
||||
""";
|
||||
|
||||
internal const string AgentWithRemoteConnection =
|
||||
"""
|
||||
kind: Prompt
|
||||
name: AgentName
|
||||
description: Agent description
|
||||
instructions: You are a helpful assistant.
|
||||
model:
|
||||
id: gpt-4o
|
||||
connection:
|
||||
kind: Remote
|
||||
endpoint: https://my-azure-openai-endpoint.openai.azure.com/
|
||||
""";
|
||||
|
||||
internal const string AgentWithEnvironmentVariables =
|
||||
"""
|
||||
kind: Prompt
|
||||
name: AgentName
|
||||
description: Agent description
|
||||
instructions: You are a helpful assistant.
|
||||
model:
|
||||
id: =Env.OpenAIModelId
|
||||
connection:
|
||||
kind: apiKey
|
||||
endpoint: =Env.OpenAIEndpoint
|
||||
key: =Env.OpenAIApiKey
|
||||
""";
|
||||
|
||||
internal const string OpenAIChatAgent =
|
||||
"""
|
||||
kind: Prompt
|
||||
name: Assistant
|
||||
description: Helpful assistant
|
||||
instructions: You are a helpful assistant. You answer questions in the language specified by the user. You return your answers in a JSON format.
|
||||
model:
|
||||
id: =Env.OPENAI_MODEL
|
||||
options:
|
||||
temperature: 0.9
|
||||
topP: 0.95
|
||||
connection:
|
||||
kind: apiKey
|
||||
key: =Env.OPENAI_APIKEY
|
||||
outputSchema:
|
||||
properties:
|
||||
language:
|
||||
type: string
|
||||
required: true
|
||||
description: The language of the answer.
|
||||
answer:
|
||||
type: string
|
||||
required: true
|
||||
description: The answer text.
|
||||
""";
|
||||
|
||||
internal const string AgentWithCurrentModels =
|
||||
"""
|
||||
kind: Prompt
|
||||
name: AgentName
|
||||
description: Agent description
|
||||
instructions: You are a helpful assistant.
|
||||
model:
|
||||
id: gpt-4o
|
||||
options:
|
||||
temperature: 0.7
|
||||
maxOutputTokens: 1024
|
||||
topP: 0.9
|
||||
topK: 50
|
||||
frequencyPenalty: 0.7
|
||||
presencePenalty: 0.7
|
||||
seed: 42
|
||||
responseFormat: text
|
||||
stopSequences:
|
||||
- "###"
|
||||
- "END"
|
||||
- "STOP"
|
||||
allowMultipleToolCalls: true
|
||||
chatToolMode: auto
|
||||
""";
|
||||
|
||||
internal const string AgentWithCurrentModelsSnakeCase =
|
||||
"""
|
||||
kind: Prompt
|
||||
name: AgentName
|
||||
description: Agent description
|
||||
instructions: You are a helpful assistant.
|
||||
model:
|
||||
id: gpt-4o
|
||||
options:
|
||||
temperature: 0.7
|
||||
max_output_tokens: 1024
|
||||
top_p: 0.9
|
||||
top_k: 50
|
||||
frequency_penalty: 0.7
|
||||
presence_penalty: 0.7
|
||||
seed: 42
|
||||
response_format: text
|
||||
stop_sequences:
|
||||
- "###"
|
||||
- "END"
|
||||
- "STOP"
|
||||
allow_multiple_tool_calls: true
|
||||
chat_tool_mode: auto
|
||||
""";
|
||||
|
||||
internal static readonly string[] s_stopSequences = ["###", "END", "STOP"];
|
||||
|
||||
internal static GptComponentMetadata CreateTestPromptAgent(string? publisher = "OpenAI", string? apiType = "Chat")
|
||||
{
|
||||
string agentYaml =
|
||||
$"""
|
||||
kind: Prompt
|
||||
name: Test Agent
|
||||
description: Test Description
|
||||
instructions: You are a helpful assistant.
|
||||
additionalInstructions: Provide detailed and accurate responses.
|
||||
model:
|
||||
id: gpt-4o
|
||||
publisher: {publisher}
|
||||
apiType: {apiType}
|
||||
options:
|
||||
modelId: gpt-4o
|
||||
temperature: 0.7
|
||||
maxOutputTokens: 1024
|
||||
topP: 0.9
|
||||
topK: 50
|
||||
frequencyPenalty: 0.7
|
||||
presencePenalty: 0.7
|
||||
seed: 42
|
||||
responseFormat: text
|
||||
stopSequences:
|
||||
- "###"
|
||||
- "END"
|
||||
- "STOP"
|
||||
allowMultipleToolCalls: true
|
||||
chatToolMode: auto
|
||||
customProperty: customValue
|
||||
connection:
|
||||
kind: apiKey
|
||||
endpoint: https://my-azure-openai-endpoint.openai.azure.com/
|
||||
key: my-api-key
|
||||
tools:
|
||||
- kind: codeInterpreter
|
||||
- kind: function
|
||||
name: GetWeather
|
||||
description: Get the weather for a given location.
|
||||
parameters:
|
||||
- name: location
|
||||
type: string
|
||||
description: The city and state, e.g. San Francisco, CA
|
||||
required: true
|
||||
- name: unit
|
||||
type: string
|
||||
description: The unit of temperature. Possible values are 'celsius' and 'fahrenheit'.
|
||||
required: false
|
||||
enum:
|
||||
- celsius
|
||||
- fahrenheit
|
||||
- kind: mcp
|
||||
serverName: PersonInfoTool
|
||||
serverDescription: Get information about a person.
|
||||
allowedTools:
|
||||
- "GetPersonInfo"
|
||||
- "UpdatePersonInfo"
|
||||
- "DeletePersonInfo"
|
||||
approvalMode:
|
||||
kind: HostedMcpServerToolRequireSpecificApprovalMode
|
||||
AlwaysRequireApprovalToolNames:
|
||||
- "UpdatePersonInfo"
|
||||
- "DeletePersonInfo"
|
||||
NeverRequireApprovalToolNames:
|
||||
- "GetPersonInfo"
|
||||
connection:
|
||||
kind: AnonymousConnection
|
||||
endpoint: https://my-mcp-endpoint.com/api
|
||||
- kind: webSearch
|
||||
name: WebSearchTool
|
||||
description: Search the web for information.
|
||||
- kind: fileSearch
|
||||
name: FileSearchTool
|
||||
description: Search files for information.
|
||||
vectorStoreIds:
|
||||
- 1
|
||||
- 2
|
||||
- 3
|
||||
outputSchema:
|
||||
properties:
|
||||
language:
|
||||
type: string
|
||||
required: true
|
||||
description: The language of the answer.
|
||||
answer:
|
||||
type: string
|
||||
required: true
|
||||
description: The answer text.
|
||||
""";
|
||||
|
||||
return AgentBotElementYaml.FromYaml(agentYaml);
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user