2023-08-18 04:27:07 +00:00
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using BotSharp.Abstraction.Agents.Enums;
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2023-06-27 18:31:13 +00:00
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namespace BotSharp.Abstraction.Conversations.Models;
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public class RoleDialogModel
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{
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/// <summary>
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2023-07-27 15:07:39 +00:00
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/// user, system, assistant, function
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2023-06-27 18:31:13 +00:00
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/// </summary>
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public string Role { get; set; }
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2023-08-07 20:17:54 +00:00
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public DateTime CreatedAt { get; set; } = DateTime.UtcNow;
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2023-07-21 20:15:09 +00:00
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public string Content { get; set; }
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2023-08-17 04:04:23 +00:00
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public string CurrentAgentId { get; set; }
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2023-06-27 18:31:13 +00:00
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2023-07-27 15:07:39 +00:00
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/// <summary>
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/// Function name if LLM response function call
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/// </summary>
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2023-07-28 04:27:12 +00:00
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public string? FunctionName { get; set; }
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2023-07-27 21:56:57 +00:00
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2023-08-17 04:04:23 +00:00
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public string? FunctionArgs { get; set; }
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2023-07-27 21:56:57 +00:00
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/// <summary>
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2023-08-20 20:20:16 +00:00
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/// Function execution result, this result will be seen by LLM.
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2023-07-27 21:56:57 +00:00
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/// </summary>
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public string? ExecutionResult { get; set; }
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2023-07-27 15:07:39 +00:00
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2023-08-20 20:20:16 +00:00
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/// <summary>
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/// Function execution structured data, this data won't pass to LLM.
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/// It's ideal to render in rich content in UI.
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/// </summary>
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public object ExecutionData { get; set; }
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2023-08-14 17:00:01 +00:00
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/// <summary>
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/// Channel name
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/// </summary>
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public string Channel { get; set; }
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2023-07-21 01:55:40 +00:00
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public RoleDialogModel(string role, string text)
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{
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Role = role;
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2023-07-21 20:15:09 +00:00
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Content = text;
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2023-07-21 01:55:40 +00:00
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}
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2023-06-27 18:31:13 +00:00
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public override string ToString()
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{
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2023-08-18 04:27:07 +00:00
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if (Role == AgentRole.Function)
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{
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return $"{Role}: {FunctionName}";
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}
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else
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{
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return $"{Role}: {Content}";
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}
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2023-06-27 18:31:13 +00:00
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}
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}
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