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PromptMessage.cs
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using Microsoft.Extensions.AI;
using System.Text.Json.Serialization;
namespace ModelContextProtocol.Protocol;
/// <summary>
/// Represents a message within the Model Context Protocol (MCP) system, used for communication between clients and AI models.
/// </summary>
/// <remarks>
/// <para>
/// A <see cref="PromptMessage"/> encapsulates content sent to or received from AI models in the Model Context Protocol.
/// Each message has a specific role (<see cref="Role.User"/> or <see cref="Role.Assistant"/>) and contains content which can be
/// text, images, audio, or embedded resources.
/// </para>
/// <para>
/// This class is similar to <see cref="SamplingMessage"/>, but with enhanced support for embedding resources from the MCP server.
/// It serves as a core data structure in the MCP message exchange flow, particularly in prompt formation and model responses.
/// </para>
/// <para>
/// <see cref="PromptMessage"/> objects are typically used in collections within <see cref="GetPromptResult"/>
/// to represent complete conversations or prompt sequences. They can be converted to and from <see cref="ChatMessage"/>
/// objects using the extension methods <see cref="AIContentExtensions.ToChatMessage(PromptMessage)"/> and
/// <see cref="AIContentExtensions.ToPromptMessages(ChatMessage)"/>.
/// </para>
/// <para>
/// See the <see href="https://github.com/modelcontextprotocol/specification/blob/main/schema/">schema</see> for details.
/// </para>
/// </remarks>
public class PromptMessage
{
/// <summary>
/// Gets or sets the content of the message, which can be text, image, audio, or an embedded resource.
/// </summary>
/// <remarks>
/// The <see cref="Content"/> object contains all the message payload, whether it's simple text,
/// base64-encoded binary data (for images/audio), or a reference to an embedded resource.
/// The <see cref="Content.Type"/> property indicates the specific content type.
/// </remarks>
[JsonPropertyName("content")]
public Content Content { get; set; } = new();
/// <summary>
/// Gets or sets the role of the message sender, specifying whether it's from a "user" or an "assistant".
/// </summary>
/// <remarks>
/// In the Model Context Protocol, each message must have a clear role assignment to maintain
/// the conversation flow. User messages represent queries or inputs from users, while assistant
/// messages represent responses generated by AI models.
/// </remarks>
[JsonPropertyName("role")]
public Role Role { get; set; } = Role.User;
}