Files
agent-framework/dotnet/src/Microsoft.Agents.AI.Workflows.Declarative/ObjectModel/InvokeFunctionToolExecutor.cs
T
Peter Ibekwe de9d886aba .NET: Support InvokeMcpTool for declarative workflows (#4204)
* Initial implementation of InvokeMcpTool in declarative workflow

* Cleaned up sample implementation

* Updated sample comments.

* Added missing executor routing attribute

* Fix PR comments.

* Updated based on PR comments.

* Updated based on PR comments.

* Removed unnecessary using statement.
2026-02-25 19:21:36 +00:00

280 lines
11 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
using System.Collections.Generic;
using System.Linq;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Agents.AI.Workflows.Declarative.Events;
using Microsoft.Agents.AI.Workflows.Declarative.Extensions;
using Microsoft.Agents.AI.Workflows.Declarative.Interpreter;
using Microsoft.Agents.AI.Workflows.Declarative.Kit;
using Microsoft.Agents.AI.Workflows.Declarative.PowerFx;
using Microsoft.Agents.ObjectModel;
using Microsoft.Extensions.AI;
using Microsoft.Shared.Diagnostics;
namespace Microsoft.Agents.AI.Workflows.Declarative.ObjectModel;
/// <summary>
/// Executor for the <see cref="InvokeFunctionTool"/> action.
/// This executor yields to the caller for function execution and resumes when results are provided.
/// </summary>
internal sealed class InvokeFunctionToolExecutor(
InvokeFunctionTool model,
ResponseAgentProvider agentProvider,
WorkflowFormulaState state) :
DeclarativeActionExecutor<InvokeFunctionTool>(model, state)
{
/// <summary>
/// Step identifiers for the function tool invocation workflow.
/// </summary>
public static class Steps
{
/// <summary>
/// Step for waiting for external input (function result).
/// </summary>
public static string ExternalInput(string id) => $"{id}_{nameof(ExternalInput)}";
/// <summary>
/// Step for resuming after receiving function result.
/// </summary>
public static string Resume(string id) => $"{id}_{nameof(Resume)}";
}
/// <inheritdoc/>
protected override bool EmitResultEvent => false;
/// <inheritdoc/>
protected override bool IsDiscreteAction => false;
/// <inheritdoc/>
[SendsMessage(typeof(ExternalInputRequest))]
protected override async ValueTask<object?> ExecuteAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
{
string functionName = this.GetFunctionName();
bool requireApproval = this.GetRequireApproval();
Dictionary<string, object?>? arguments = this.GetArguments();
// Create the function call content to send to the caller
FunctionCallContent functionCall = new(
callId: this.Id,
name: functionName,
arguments: arguments);
// Build the response with the function call request
ChatMessage requestMessage = new(ChatRole.Tool, [functionCall]);
// If approval is required, add user input request content
if (requireApproval)
{
requestMessage.Contents.Add(new FunctionApprovalRequestContent(this.Id, functionCall));
}
AgentResponse agentResponse = new([requestMessage]);
// Yield to the caller - workflow halts here until external input is received
ExternalInputRequest inputRequest = new(agentResponse);
await context.SendMessageAsync(inputRequest, cancellationToken).ConfigureAwait(false);
return default;
}
/// <summary>
/// Captures the function result and stores in output variables.
/// </summary>
/// <param name="context">The workflow context.</param>
/// <param name="response">The external input response containing the function result.</param>
/// <param name="cancellationToken">A cancellation token.</param>
/// <returns>A <see cref="ValueTask"/> representing the asynchronous operation.</returns>
public async ValueTask CaptureResponseAsync(
IWorkflowContext context,
ExternalInputResponse response,
CancellationToken cancellationToken)
{
bool autoSend = this.GetAutoSendValue();
string? conversationId = this.GetConversationId();
// Extract function results from the response
IEnumerable<FunctionResultContent> functionResults = response.Messages
.SelectMany(m => m.Contents)
.OfType<FunctionResultContent>();
FunctionResultContent? matchingResult = functionResults
.FirstOrDefault(r => r.CallId == this.Id);
if (matchingResult is not null)
{
// Store the result in output variable
await this.AssignResultAsync(context, matchingResult).ConfigureAwait(false);
// Auto-send the result if configured
if (autoSend)
{
AgentResponse resultResponse = new([new ChatMessage(ChatRole.Tool, [matchingResult])]);
await context.AddEventAsync(new AgentResponseEvent(this.Id, resultResponse), cancellationToken).ConfigureAwait(false);
}
}
// Store messages if output path is configured
if (this.Model.Output?.Messages is not null)
{
await this.AssignAsync(this.Model.Output.Messages?.Path, response.Messages.ToFormula(), context).ConfigureAwait(false);
}
// Add messages to conversation if conversationId is provided
// Note: We transform messages containing FunctionResultContent or FunctionCallContent
// to assistant text messages because workflow-generated CallIds don't correspond to
// actual AI-generated tool calls and would be rejected by the API.
if (conversationId is not null)
{
foreach (ChatMessage message in TransformConversationMessages(response.Messages))
{
await agentProvider.CreateMessageAsync(conversationId, message, cancellationToken).ConfigureAwait(false);
}
}
// Completes the action after processing the function result.
await context.RaiseCompletionEventAsync(this.Model, cancellationToken).ConfigureAwait(false);
}
/// <summary>
/// Transforms messages containing function-related content to assistant text messages.
/// Messages with FunctionResultContent are converted to assistant messages with the result as text.
/// Messages with only FunctionCallContent are excluded as they have no informational value.
/// </summary>
private static IEnumerable<ChatMessage> TransformConversationMessages(IEnumerable<ChatMessage> messages)
{
foreach (ChatMessage message in messages)
{
// Check if message contains function content
bool hasFunctionResult = message.Contents.OfType<FunctionResultContent>().Any();
bool hasFunctionCall = message.Contents.OfType<FunctionCallContent>().Any();
if (hasFunctionResult)
{
// Convert function results to assistant text message
List<AIContent> updatedContents = [];
foreach (AIContent content in message.Contents)
{
if (content is FunctionResultContent functionResult)
{
string? resultText = functionResult.Result?.ToString();
if (!string.IsNullOrEmpty(resultText))
{
updatedContents.Add(new TextContent($"[Function {functionResult.CallId} result]: {resultText}"));
}
}
else if (content is not FunctionCallContent)
{
// Keep non-function content as-is
updatedContents.Add(content);
}
}
if (updatedContents.Count > 0)
{
yield return new ChatMessage(ChatRole.Assistant, updatedContents);
}
}
else if (!hasFunctionCall)
{
// Pass through messages without function content
yield return message;
}
}
}
private async ValueTask AssignResultAsync(IWorkflowContext context, FunctionResultContent result)
{
if (this.Model.Output?.Result is null)
{
return;
}
object? resultValue = result.Result;
// Attempt to parse as JSON if it's a string
if (resultValue is string jsonString)
{
try
{
using JsonDocument jsonDocument = JsonDocument.Parse(jsonString);
// Handle different JSON value kinds
object? parsedValue = jsonDocument.RootElement.ValueKind switch
{
JsonValueKind.Object => jsonDocument.ParseRecord(VariableType.RecordType),
JsonValueKind.Array => jsonDocument.ParseList(jsonDocument.RootElement.GetListTypeFromJson()),
JsonValueKind.String => jsonDocument.RootElement.GetString(),
JsonValueKind.Number => jsonDocument.RootElement.TryGetInt64(out long l) ? l : jsonDocument.RootElement.GetDouble(),
JsonValueKind.True => true,
JsonValueKind.False => false,
JsonValueKind.Null => null,
_ => jsonString,
};
await this.AssignAsync(this.Model.Output.Result?.Path, parsedValue.ToFormula(), context).ConfigureAwait(false);
return;
}
catch (JsonException)
{
// Not a valid JSON
}
}
await this.AssignAsync(this.Model.Output.Result?.Path, resultValue.ToFormula(), context).ConfigureAwait(false);
}
private string GetFunctionName() =>
this.Evaluator.GetValue(
Throw.IfNull(
this.Model.FunctionName,
$"{nameof(this.Model)}.{nameof(this.Model.FunctionName)}")).Value;
private string? GetConversationId()
{
if (this.Model.ConversationId is null)
{
return null;
}
string conversationIdValue = this.Evaluator.GetValue(this.Model.ConversationId).Value;
return conversationIdValue.Length == 0 ? null : conversationIdValue;
}
private bool GetRequireApproval()
{
if (this.Model.RequireApproval is null)
{
return false;
}
return this.Evaluator.GetValue(this.Model.RequireApproval).Value;
}
private bool GetAutoSendValue()
{
if (this.Model.Output?.AutoSend is null)
{
return true;
}
return this.Evaluator.GetValue(this.Model.Output.AutoSend).Value;
}
private Dictionary<string, object?>? GetArguments()
{
if (this.Model.Arguments is null)
{
return null;
}
Dictionary<string, object?> result = [];
foreach (KeyValuePair<string, ValueExpression> argument in this.Model.Arguments)
{
result[argument.Key] = this.Evaluator.GetValue(argument.Value).Value.ToObject();
}
return result;
}
}