kotlin-sdk-core/io.modelcontextprotocol.kotlin.sdk.types/CreateMessageRequestParams

CreateMessageRequestParams

@Serializable
data class CreateMessageRequestParams(val maxTokens: Int, val messages: List<SamplingMessage>, val modelPreferences: ModelPreferences? = null, val systemPrompt: String? = null, val includeContext: IncludeContext? = null, val temperature: Double? = null, val stopSequences: List<String>? = null, val metadata: JsonObject? = null, val meta: RequestMeta? = null) : RequestParams(source)

Parameters for a sampling/createMessage request.

Constructors

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constructor(maxTokens: Int, messages: List<SamplingMessage>, modelPreferences: ModelPreferences? = null, systemPrompt: String? = null, includeContext: IncludeContext? = null, temperature: Double? = null, stopSequences: List<String>? = null, metadata: JsonObject? = null, meta: RequestMeta? = null)

Properties

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val includeContext: IncludeContext?

A request to include context from one or more MCP servers (including the caller), to be attached to the prompt. The client MAY ignore this request.

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val maxTokens: Int

The requested maximum number of tokens to sample (to prevent runaway completions). The client MAY choose to sample fewer tokens than the requested maximum.

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val messages: List<SamplingMessage>

The messages to use as context for sampling. Typically includes conversation history and the current user message.

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@SerialName(value = "_meta")
open override val meta: RequestMeta?

Optional metadata for this request. May include a progressToken for out-of-band progress notifications.

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val metadata: JsonObject?

Optional metadata to pass through to the LLM provider. The format of this metadata is provider-specific.

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val modelPreferences: ModelPreferences?

The server's preferences for which model to select. The client MAY ignore these preferences and choose any model.

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val stopSequences: List<String>?

Optional list of sequences that will stop generation if encountered.

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val systemPrompt: String?

An optional system prompt the server wants to use for sampling. The client MAY modify or omit this prompt.

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val temperature: Double?

Optional temperature parameter for sampling (typically 0.0-2.0). Higher values make output more random, lower values make it more deterministic.

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