langchain/dist/agents/middleware/summarization.d.ts.map

Typescript bindings for langchain

{"version":3,"file":"summarization.d.ts","names":["__types_js0","z","BaseLanguageModel","InferInteropZodInput","contextSchema","_langchain_core_language_models_base0","BaseLanguageModelCallOptions","ZodTypeDef","ZodType","ZodNumber","ZodOptional","ZodDefault","ZodAny","ZodArray","ZodUnknown","ZodTuple","ZodPromise","ZodUnion","ZodFunction","ZodString","ZodTypeAny","Promise","ZodObject","SummarizationMiddlewareConfig","summarizationMiddleware","AgentMiddleware"],"sources":["../../../src/agents/middleware/summarization.d.ts"],"sourcesContent":["import { z } from \"zod/v3\";\nimport { BaseLanguageModel } from \"@langchain/core/language_models/base\";\nimport { InferInteropZodInput } from \"@langchain/core/utils/types\";\ndeclare const contextSchema: z.ZodObject<{\n    model: z.ZodType<BaseLanguageModel<any, import(\"@langchain/core/language_models/base\").BaseLanguageModelCallOptions>, z.ZodTypeDef, BaseLanguageModel<any, import(\"@langchain/core/language_models/base\").BaseLanguageModelCallOptions>>;\n    maxTokensBeforeSummary: z.ZodOptional<z.ZodNumber>;\n    messagesToKeep: z.ZodDefault<z.ZodNumber>;\n    tokenCounter: z.ZodOptional<z.ZodFunction<z.ZodTuple<[z.ZodArray<z.ZodAny, \"many\">], z.ZodUnknown>, z.ZodUnion<[z.ZodNumber, z.ZodPromise<z.ZodNumber>]>>>;\n    summaryPrompt: z.ZodDefault<z.ZodString>;\n    summaryPrefix: z.ZodDefault<z.ZodString>;\n}, \"strip\", z.ZodTypeAny, {\n    model: BaseLanguageModel<any, import(\"@langchain/core/language_models/base\").BaseLanguageModelCallOptions>;\n    maxTokensBeforeSummary?: number | undefined;\n    messagesToKeep: number;\n    tokenCounter?: ((args_0: any[], ...args: unknown[]) => number | Promise<number>) | undefined;\n    summaryPrompt: string;\n    summaryPrefix: string;\n}, {\n    model: BaseLanguageModel<any, import(\"@langchain/core/language_models/base\").BaseLanguageModelCallOptions>;\n    maxTokensBeforeSummary?: number | undefined;\n    messagesToKeep?: number | undefined;\n    tokenCounter?: ((args_0: any[], ...args: unknown[]) => number | Promise<number>) | undefined;\n    summaryPrompt?: string | undefined;\n    summaryPrefix?: string | undefined;\n}>;\nexport type SummarizationMiddlewareConfig = InferInteropZodInput<typeof contextSchema>;\n/**\n * Summarization middleware that automatically summarizes conversation history when token limits are approached.\n *\n * This middleware monitors message token counts and automatically summarizes older\n * messages when a threshold is reached, preserving recent messages and maintaining\n * context continuity by ensuring AI/Tool message pairs remain together.\n *\n * @param options Configuration options for the summarization middleware\n * @returns A middleware instance\n *\n * @example\n * ```ts\n * import { summarizationMiddleware } from \"langchain\";\n * import { createAgent } from \"langchain\";\n *\n * const agent = createAgent({\n *   llm: model,\n *   tools: [getWeather],\n *   middleware: [\n *     summarizationMiddleware({\n *       model: new ChatOpenAI({ model: \"gpt-4o\" }),\n *       maxTokensBeforeSummary: 4000,\n *       messagesToKeep: 20,\n *     })\n *   ],\n * });\n *\n * ```\n */\nexport declare function summarizationMiddleware(options: SummarizationMiddlewareConfig): import(\"./types.js\").AgentMiddleware<undefined, z.ZodObject<{\n    model: z.ZodType<BaseLanguageModel<any, import(\"@langchain/core/language_models/base\").BaseLanguageModelCallOptions>, z.ZodTypeDef, BaseLanguageModel<any, import(\"@langchain/core/language_models/base\").BaseLanguageModelCallOptions>>;\n    maxTokensBeforeSummary: z.ZodOptional<z.ZodNumber>;\n    messagesToKeep: z.ZodDefault<z.ZodNumber>;\n    tokenCounter: z.ZodOptional<z.ZodFunction<z.ZodTuple<[z.ZodArray<z.ZodAny, \"many\">], z.ZodUnknown>, z.ZodUnion<[z.ZodNumber, z.ZodPromise<z.ZodNumber>]>>>;\n    summaryPrompt: z.ZodDefault<z.ZodString>;\n    summaryPrefix: z.ZodDefault<z.ZodString>;\n}, \"strip\", z.ZodTypeAny, {\n    model: BaseLanguageModel<any, import(\"@langchain/core/language_models/base\").BaseLanguageModelCallOptions>;\n    maxTokensBeforeSummary?: number | undefined;\n    messagesToKeep: number;\n    tokenCounter?: ((args_0: any[], ...args: unknown[]) => number | Promise<number>) | undefined;\n    summaryPrompt: string;\n    summaryPrefix: string;\n}, {\n    model: BaseLanguageModel<any, import(\"@langchain/core/language_models/base\").BaseLanguageModelCallOptions>;\n    maxTokensBeforeSummary?: number | undefined;\n    messagesToKeep?: number | undefined;\n    tokenCounter?: ((args_0: any[], ...args: unknown[]) => number | Promise<number>) | undefined;\n    summaryPrompt?: string | undefined;\n    summaryPrefix?: string | undefined;\n}>, any>;\nexport 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