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agent-framework/dotnet/src/Microsoft.Agents.AI.Workflows.Declarative/ObjectModel/InvokeFunctionToolExecutor.cs
T
2026-06-15 16:43:10 -07:00

509 lines
22 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Concurrent;
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.Extensions.Logging;
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)
{
private const string ApprovalSnapshotStateKey = nameof(_approvalSnapshots);
private const string PendingCallIdsStateKey = nameof(_pendingNonApprovalCallIds);
private const string LegacyApprovalSnapshotStateKey = "_approvalSnapshot";
/// <summary>
/// Snapshots of evaluated parameters captured at approval-request time, keyed by
/// per-invocation request id. Each pending approval lives here until the matching
/// response is captured.
/// </summary>
private readonly ConcurrentDictionary<string, ApprovalSnapshot> _approvalSnapshots = new(StringComparer.Ordinal);
/// <summary>
/// Per-invocation call ids for in-flight non-approval requests; used to match the
/// returning <see cref="FunctionResultContent"/> on the response path. Used as a set;
/// the byte value is ignored.
/// </summary>
private readonly ConcurrentDictionary<string, byte> _pendingNonApprovalCallIds = new(StringComparer.Ordinal);
/// <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();
// Per-invocation request id stamped on the outbound content.
string requestId = Guid.NewGuid().ToString("N");
// Create the function call content to send to the caller
FunctionCallContent functionCall = new(
callId: requestId,
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)
{
// Capture the evaluated parameters keyed by request id; the matching response
// resumes from this snapshot.
this._approvalSnapshots[requestId] = new ApprovalSnapshot(functionName, arguments);
requestMessage.Contents.Add(new ToolApprovalRequestContent(requestId, functionCall));
}
else
{
this._pendingNonApprovalCallIds.TryAdd(requestId, 0);
}
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();
// Match the inbound result by its per-invocation call id.
FunctionResultContent? matchingResult = response.Messages
.SelectMany(m => m.Contents)
.OfType<FunctionResultContent>()
.FirstOrDefault(r => this.IsKnownPendingId(r.CallId));
// Legacy non-approval backstop: when no pendings are tracked, accept a result
// whose CallId equals this.Id. The runtime has already routed the response to
// this executor's port and the framework does not invoke a function here.
if (matchingResult is null
&& this._pendingNonApprovalCallIds.IsEmpty
&& this._approvalSnapshots.IsEmpty)
{
matchingResult = response.Messages
.SelectMany(m => m.Contents)
.OfType<FunctionResultContent>()
.FirstOrDefault(r => string.Equals(r.CallId, this.Id, StringComparison.Ordinal));
}
// When the caller approved an approval-required function call but didn't execute it
// locally (the hosted Foundry scenario, where mcp_approval_response is converted to a
// ToolApprovalResponseContent only), invoke the registered AIFunction here so that the
// declarative workflow can capture the result and continue (e.g. for downstream
// SendActivity/PropertyPath consumers like {Local.Result}).
if (matchingResult is null)
{
List<ToolApprovalResponseContent> approvals = response.Messages
.SelectMany(m => m.Contents)
.OfType<ToolApprovalResponseContent>()
.ToList();
// Prefer an approval matching a pending snapshot; otherwise take the first
// present approval.
ToolApprovalResponseContent? approval =
approvals.FirstOrDefault(r => this._approvalSnapshots.ContainsKey(r.RequestId))
?? approvals.FirstOrDefault();
if (approval is not null)
{
if (!this._approvalSnapshots.ContainsKey(approval.RequestId))
{
this.Logger.LogWarning(
"Approval response '{RequestId}' did not match any pending invocation on '{ActionId}'.",
approval.RequestId, this.Id);
await this.AssignErrorAsync(context, "Function invocation was not approved by user.").ConfigureAwait(false);
}
else if (!approval.Approved)
{
this._approvalSnapshots.TryRemove(approval.RequestId, out _);
await this.AssignErrorAsync(context, "Function invocation was not approved by user.").ConfigureAwait(false);
}
else if (this._approvalSnapshots.TryRemove(approval.RequestId, out ApprovalSnapshot? snapshot))
{
matchingResult = await this.InvokeRegisteredFunctionAsync(approval.RequestId, snapshot, cancellationToken).ConfigureAwait(false);
}
else
{
// Snapshot was consumed by a concurrent delivery; surface the not-approved error.
this.Logger.LogWarning(
"Approval response '{RequestId}' had no remaining pending snapshot on '{ActionId}'.",
approval.RequestId, this.Id);
await this.AssignErrorAsync(context, "Function invocation was not approved by user.").ConfigureAwait(false);
}
}
}
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);
}
// Drop the per-invocation entry now that the response has been processed.
this._pendingNonApprovalCallIds.TryRemove(matchingResult.CallId, out _);
this._approvalSnapshots.TryRemove(matchingResult.CallId, out _);
}
// 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);
}
private bool IsKnownPendingId(string callId) =>
this._pendingNonApprovalCallIds.ContainsKey(callId) || this._approvalSnapshots.ContainsKey(callId);
/// <inheritdoc/>
public override ValueTask ResetAsync()
{
this._approvalSnapshots.Clear();
this._pendingNonApprovalCallIds.Clear();
return default;
}
/// <inheritdoc/>
/// <remarks>
/// Persists pending approval snapshots and non-approval call ids so they survive
/// checkpoint/restore cycles.
/// </remarks>
protected override async ValueTask OnCheckpointingAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
{
Dictionary<string, ApprovalSnapshot> snapshotCopy = this._approvalSnapshots.ToDictionary(kvp => kvp.Key, kvp => kvp.Value, StringComparer.Ordinal);
await context.QueueStateUpdateAsync(ApprovalSnapshotStateKey, snapshotCopy, null, cancellationToken).ConfigureAwait(false);
List<string> pendingCopy = [.. this._pendingNonApprovalCallIds.Keys];
await context.QueueStateUpdateAsync(PendingCallIdsStateKey, pendingCopy, null, cancellationToken).ConfigureAwait(false);
await base.OnCheckpointingAsync(context, cancellationToken).ConfigureAwait(false);
}
/// <inheritdoc/>
/// <remarks>
/// Restores pending approval snapshots and non-approval call ids from workflow state
/// after a checkpoint restore.
/// </remarks>
protected override async ValueTask OnCheckpointRestoredAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
{
await base.OnCheckpointRestoredAsync(context, cancellationToken).ConfigureAwait(false);
this._approvalSnapshots.Clear();
Dictionary<string, ApprovalSnapshot>? snapshots = await context.ReadStateAsync<Dictionary<string, ApprovalSnapshot>>(
ApprovalSnapshotStateKey, null, cancellationToken).ConfigureAwait(false);
if (snapshots is not null)
{
foreach (KeyValuePair<string, ApprovalSnapshot> entry in snapshots)
{
this._approvalSnapshots[entry.Key] = entry.Value;
}
}
this._pendingNonApprovalCallIds.Clear();
List<string>? pending = await context.ReadStateAsync<List<string>>(
PendingCallIdsStateKey, null, cancellationToken).ConfigureAwait(false);
if (pending is not null)
{
foreach (string id in pending)
{
this._pendingNonApprovalCallIds.TryAdd(id, 0);
}
}
// Migrate a single ApprovalSnapshot at the legacy key under this.Id so the
// legacy approval response matches the per-invocation map; clear the legacy key.
ApprovalSnapshot? legacy = await context.ReadStateAsync<ApprovalSnapshot>(
LegacyApprovalSnapshotStateKey, null, cancellationToken).ConfigureAwait(false);
if (legacy is not null)
{
this._approvalSnapshots.TryAdd(this.Id, legacy);
await context.QueueStateUpdateAsync<ApprovalSnapshot?>(
LegacyApprovalSnapshotStateKey, null, null, 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 async ValueTask AssignErrorAsync(IWorkflowContext context, string errorMessage)
{
if (this.Model.Output?.Result is not null)
{
await this.AssignAsync(this.Model.Output.Result?.Path, $"Error: {errorMessage}".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 async ValueTask<FunctionResultContent?> InvokeRegisteredFunctionAsync(string callId, ApprovalSnapshot snapshot, CancellationToken cancellationToken)
{
// Use the snapshot captured at approval-request time so we invoke exactly what
// the user approved, even if Power Fx state has mutated during the approval window.
string functionName = snapshot.FunctionName;
Dictionary<string, object?>? arguments = snapshot.Arguments;
AIFunction? function = agentProvider.Functions?.FirstOrDefault(
f => string.Equals(f.Name, functionName, StringComparison.Ordinal));
if (function is null)
{
return new FunctionResultContent(callId, result: null)
{
Exception = new InvalidOperationException(
$"Function '{functionName}' is not registered with the agent provider."),
};
}
AIFunctionArguments? functionArguments = arguments is null ? null : new AIFunctionArguments(arguments.NormalizePortableValues());
object? result;
try
{
result = await function.InvokeAsync(functionArguments, cancellationToken).ConfigureAwait(false);
}
catch (Exception ex) when (ex is not OperationCanceledException)
{
return new FunctionResultContent(callId, result: null) { Exception = ex };
}
// Match FunctionInvokingChatClient's serialization: pass strings through as-is and
// JSON-serialize anything else so structured results remain consumable by downstream
// PropertyPath consumers such as {Local.RefundResult}. Use AIJsonUtilities so the
// same trim/AOT-friendly serializer chain used elsewhere in the framework is applied.
string serialized = result switch
{
null => string.Empty,
string s => s,
_ => JsonSerializer.Serialize(result, AIJsonUtilities.DefaultOptions.GetTypeInfo(result.GetType())),
};
return new FunctionResultContent(callId, serialized);
}
private bool GetRequireApproval()
{
if (this.Model.RequireApproval is null)
{
return false;
}
return this.Evaluator.GetValue(this.Model.RequireApproval).Value;
}
private bool GetAutoSendValue()
{
// InvokeToolOutput.AutoSend is never null — it returns a literal-false default
// when the YAML omits the field. Use AutoSendIsDefaultValue to distinguish an
// explicit autoSend value from the implicit default, and treat the implicit
// default as autoSend = true (the historical behavior).
if (this.Model.Output is { AutoSendIsDefaultValue: false } output)
{
return this.Evaluator.GetValue(output.AutoSend).Value;
}
return true;
}
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;
}
/// <summary>
/// Captured invocation parameters used by <see cref="CaptureResponseAsync"/> on
/// resume so the approved values are invoked regardless of subsequent state changes.
/// </summary>
internal sealed record ApprovalSnapshot(
string FunctionName,
Dictionary<string, object?>? Arguments);
}