Generate Indication from LLM
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43eb549bd0
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a6ed69c355
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@ -146,6 +146,7 @@ public class RoleDialogModel : ITrackableMessage
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FunctionArgs = source.FunctionArgs,
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FunctionName = source.FunctionName,
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ToolCallId = source.ToolCallId,
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Indication = source.Indication,
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PostbackFunctionName = source.PostbackFunctionName,
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RichContent = source.RichContent,
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Payload = source.Payload,
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@ -9,7 +9,7 @@ public interface IFunctionCallback
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/// </summary>
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string Indication => string.Empty;
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Task<string> GetIndication(RoleDialogModel message) => Task.FromResult(Indication);
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Task<string> GetIndication(RoleDialogModel message) => Task.FromResult(message.Indication ?? Indication);
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Task<bool> Execute(RoleDialogModel message);
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}
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@ -7,7 +7,7 @@ public partial class AgentService
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{
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public static ConcurrentDictionary<string, Dictionary<string, string>> AgentParameterTypes = new();
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[MemoryCache(10 * 60, perInstanceCache: true)]
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// [MemoryCache(10 * 60, perInstanceCache: true)]
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public async Task<Agent> LoadAgent(string id, bool loadUtility = true)
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{
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if (string.IsNullOrEmpty(id) || id == Guid.Empty.ToString())
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@ -111,7 +111,7 @@ public partial class AgentService
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parameterDef.Properties = JsonSerializer.Deserialize<JsonDocument>(clonedRoot.ToString());
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parameterDef.Required = required;
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return parameterDef; ;
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return parameterDef;
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}
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public string RenderedTemplate(Agent agent, string templateName)
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@ -43,6 +43,7 @@ public partial class RoutingService
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message.ToolCallId = response.ToolCallId;
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message.FunctionName = response.FunctionName;
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message.FunctionArgs = response.FunctionArgs;
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message.Indication = response.Indication;
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message.CurrentAgentId = agent.Id;
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await InvokeFunction(message, dialogs);
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@ -41,7 +41,7 @@ public class VerboseLogHook : IContentGeneratingHook
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var agent = await agentService.LoadAgent(message.CurrentAgentId);
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var log = message.Role == AgentRole.Function ?
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$"[{agent?.Name}]: {message.FunctionName}({message.FunctionArgs})" :
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$"[{agent?.Name}]: {message.Indication} {message.FunctionName}({message.FunctionArgs})" :
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$"[{agent?.Name}]: {message.Content}" + $" <== [msg_id: {message.MessageId}]";
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_logger.LogInformation(tokenStats.Prompt);
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@ -11,7 +11,7 @@
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Anthropic.SDK" Version="4.3.0" />
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<PackageReference Include="Anthropic.SDK" Version="4.4.2" />
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</ItemGroup>
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<ItemGroup>
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@ -1,7 +1,6 @@
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using Anthropic.SDK.Common;
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using BotSharp.Abstraction.Conversations;
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using BotSharp.Abstraction.MLTasks.Settings;
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using System.Text.Json;
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using System.Text.Json.Nodes;
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using System.Text.Json.Serialization;
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@ -48,6 +47,7 @@ public class ChatCompletionProvider : IChatCompletion
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if (response.StopReason == "tool_use")
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{
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var content = response.Content.OfType<TextContent>().FirstOrDefault();
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var toolResult = response.Content.OfType<ToolUseContent>().First();
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responseMessage = new RoleDialogModel(AgentRole.Function, response.FirstMessage?.Text ?? string.Empty)
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@ -56,7 +56,8 @@ public class ChatCompletionProvider : IChatCompletion
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MessageId = conversations.LastOrDefault()?.MessageId ?? string.Empty,
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ToolCallId = toolResult.Id,
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FunctionName = toolResult.Name,
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FunctionArgs = JsonSerializer.Serialize(toolResult.Input)
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FunctionArgs = JsonSerializer.Serialize(toolResult.Input),
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Indication = content.Text
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};
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}
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else
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@ -161,7 +162,7 @@ public class ChatCompletionProvider : IChatCompletion
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new ToolResultContent()
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{
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ToolUseId = conv.ToolCallId,
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Content = conv.Content
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Content = [new TextContent() { Text = conv.Content }]
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}
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}
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});
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@ -11,7 +11,7 @@
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Azure.AI.OpenAI" Version="2.0.0" />
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<PackageReference Include="Azure.AI.OpenAI" Version="2.1.0" />
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<PackageReference Include="Microsoft.Extensions.Http" Version="8.0.0" />
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</ItemGroup>
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@ -58,7 +58,8 @@ public class ChatCompletionProvider : IChatCompletion
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CurrentAgentId = agent.Id,
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MessageId = conversations.LastOrDefault()?.MessageId ?? string.Empty,
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FunctionName = toolCall?.FunctionName,
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FunctionArgs = toolCall?.FunctionArguments?.ToString()
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FunctionArgs = toolCall?.FunctionArguments?.ToString(),
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Indication = value.Content.FirstOrDefault()?.Text
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};
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// Somethings LLM will generate a function name with agent name.
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@ -160,8 +161,10 @@ public class ChatCompletionProvider : IChatCompletion
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var funcContextIn = new RoleDialogModel(AgentRole.Function, text)
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{
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CurrentAgentId = agent.Id,
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MessageId = conversations.LastOrDefault()?.MessageId ?? string.Empty,
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FunctionName = toolCall?.FunctionName,
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FunctionArgs = toolCall?.FunctionArguments?.ToString()
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FunctionArgs = toolCall?.FunctionArguments?.ToString(),
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Indication = value.Content.FirstOrDefault()?.Text
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};
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// Somethings LLM will generate a function name with agent name.
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@ -116,7 +116,8 @@ public class StreamingLogHook : ConversationHookBase, IContentGeneratingHook, IR
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var agent = await _agentService.LoadAgent(message.CurrentAgentId);
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message.FunctionArgs = message.FunctionArgs ?? "{}";
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var args = message.FunctionArgs.FormatJson();
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var log = $"{message.FunctionName} <u>executing</u>\r\n```json\r\n{args}\r\n```";
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var log = $"*{message.Indication.Replace("\r", string.Empty).Replace("\n", string.Empty)}* \r\n\r\n **{message.FunctionName}**()";
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log += args.Length > 5 ? $" \r\n```json\r\n{args}\r\n```" : string.Empty;
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var input = new ContentLogInputModel(conversationId, message)
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{
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@ -1,6 +1,7 @@
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using BotSharp.Abstraction.Agents;
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using BotSharp.Abstraction.Agents.Enums;
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using BotSharp.Abstraction.Loggers;
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using Google.Protobuf.WellKnownTypes;
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using Microsoft.Extensions.Logging;
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using Mscc.GenerativeAI;
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@ -125,6 +126,7 @@ public class GeminiChatCompletionProvider : IChatCompletion
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if (!agentService.RenderFunction(agent, function)) continue;
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var def = agentService.RenderFunctionProperty(agent, function);
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var str = JsonSerializer.Serialize(def.Properties);
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funcDeclarations.Add(new FunctionDeclaration
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{
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@ -132,8 +134,8 @@ public class GeminiChatCompletionProvider : IChatCompletion
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Description = function.Description,
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Parameters = new()
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{
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Type = ParameterType.Object,
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Properties = def.Properties,
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Type = str != "{}" ? ParameterType.Object : ParameterType.TypeUnspecified,
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Properties = str != "{}" ? JsonSerializer.Deserialize<dynamic>(str) : null,
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Required = def.Required
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}
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});
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@ -11,7 +11,7 @@
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="OpenAI" Version="2.0.0" />
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<PackageReference Include="OpenAI" Version="2.1.0" />
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<PackageReference Include="Microsoft.Extensions.Http" Version="8.0.0" />
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</ItemGroup>
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@ -55,7 +55,8 @@ public class ChatCompletionProvider : IChatCompletion
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MessageId = conversations.LastOrDefault()?.MessageId ?? string.Empty,
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ToolCallId = toolCall?.Id,
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FunctionName = toolCall?.FunctionName,
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FunctionArgs = toolCall?.FunctionArguments?.ToString()
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FunctionArgs = toolCall?.FunctionArguments?.ToString(),
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Indication = value.Content.FirstOrDefault()?.Text
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};
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// Somethings LLM will generate a function name with agent name.
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@ -138,9 +139,11 @@ public class ChatCompletionProvider : IChatCompletion
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var funcContextIn = new RoleDialogModel(AgentRole.Function, text)
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{
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CurrentAgentId = agent.Id,
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MessageId = conversations.LastOrDefault()?.MessageId ?? string.Empty,
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ToolCallId = toolCall?.Id,
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FunctionName = toolCall?.FunctionName,
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FunctionArgs = toolCall?.FunctionArguments?.ToString()
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FunctionArgs = toolCall?.FunctionArguments?.ToString(),
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Indication = value.Content.FirstOrDefault()?.Text
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};
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// Somethings LLM will generate a function name with agent name.
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