{"version":3,"sources":["../src/model.ts"],"sourcesContent":["/**\n * Copyright 2024 Google LLC\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\nimport {\n Action,\n defineAction,\n GenkitError,\n getStreamingCallback,\n SimpleMiddleware,\n StreamingCallback,\n z,\n} from '@genkit-ai/core';\nimport { logger } from '@genkit-ai/core/logging';\nimport { Registry } from '@genkit-ai/core/registry';\nimport { toJsonSchema } from '@genkit-ai/core/schema';\nimport { performance } from 'node:perf_hooks';\nimport {\n CustomPart,\n CustomPartSchema,\n DataPart,\n DataPartSchema,\n DocumentDataSchema,\n MediaPart,\n MediaPartSchema,\n TextPart,\n TextPartSchema,\n ToolRequestPart,\n ToolRequestPartSchema,\n ToolResponsePart,\n ToolResponsePartSchema,\n} from './document.js';\nimport {\n augmentWithContext,\n simulateConstrainedGeneration,\n validateSupport,\n} from './model/middleware.js';\nexport { defineGenerateAction } from './generate/action.js';\n// Export imports from document.js to retain API compatibility\nexport {\n CustomPartSchema,\n DataPartSchema,\n MediaPartSchema,\n simulateConstrainedGeneration,\n TextPartSchema,\n ToolRequestPartSchema,\n ToolResponsePartSchema,\n type CustomPart,\n type DataPart,\n type MediaPart,\n type TextPart,\n type ToolRequestPart,\n type ToolResponsePart,\n};\n\n//\n// IMPORTANT: Please keep type definitions in sync with\n// genkit-tools/src/types/model.ts\n//\n\n/**\n * Zod schema of message part.\n */\nexport const PartSchema = z.union([\n TextPartSchema,\n MediaPartSchema,\n ToolRequestPartSchema,\n ToolResponsePartSchema,\n DataPartSchema,\n CustomPartSchema,\n]);\n\n/**\n * Message part.\n */\nexport type Part = z.infer;\n\n/**\n * Zod schema of a message role.\n */\nexport const RoleSchema = z.enum(['system', 'user', 'model', 'tool']);\n\n/**\n * Message role.\n */\nexport type Role = z.infer;\n\n/**\n * Zod schema of a message.\n */\nexport const MessageSchema = z.object({\n role: RoleSchema,\n content: z.array(PartSchema),\n metadata: z.record(z.unknown()).optional(),\n});\n\n/**\n * Model message data.\n */\nexport type MessageData = z.infer;\n\n/**\n * Zod schema of model info metadata.\n */\nexport const ModelInfoSchema = z.object({\n /** Acceptable names for this model (e.g. different versions). */\n versions: z.array(z.string()).optional(),\n /** Friendly label for this model (e.g. \"Google AI - Gemini Pro\") */\n label: z.string().optional(),\n /** Supported model capabilities. */\n supports: z\n .object({\n /** Model can process historical messages passed with a prompt. */\n multiturn: z.boolean().optional(),\n /** Model can process media as part of the prompt (multimodal input). */\n media: z.boolean().optional(),\n /** Model can perform tool calls. */\n tools: z.boolean().optional(),\n /** Model can accept messages with role \"system\". */\n systemRole: z.boolean().optional(),\n /** Model can output this type of data. */\n output: z.array(z.string()).optional(),\n /** Model supports output in these content types. */\n contentType: z.array(z.string()).optional(),\n /** Model can natively support document-based context grounding. */\n context: z.boolean().optional(),\n /** Model can natively support constrained generation. */\n constrained: z.enum(['none', 'all', 'no-tools']).optional(),\n /** Model supports controlling tool choice, e.g. forced tool calling. */\n toolChoice: z.boolean().optional(),\n })\n .optional(),\n /** At which stage of development this model is.\n * - `featured` models are recommended for general use.\n * - `stable` models are well-tested and reliable.\n * - `unstable` models are experimental and may change.\n * - `legacy` models are no longer recommended for new projects.\n * - `deprecated` models are deprecated by the provider and may be removed in future versions.\n */\n stage: z\n .enum(['featured', 'stable', 'unstable', 'legacy', 'deprecated'])\n .optional(),\n});\n\n/**\n * Model info metadata.\n */\nexport type ModelInfo = z.infer;\n\n/**\n * Zod schema of a tool definition.\n */\nexport const ToolDefinitionSchema = z.object({\n name: z.string(),\n description: z.string(),\n inputSchema: z\n .record(z.any())\n .describe('Valid JSON Schema representing the input of the tool.')\n .nullish(),\n outputSchema: z\n .record(z.any())\n .describe('Valid JSON Schema describing the output of the tool.')\n .nullish(),\n metadata: z\n .record(z.any())\n .describe('additional metadata for this tool definition')\n .optional(),\n});\n\n/**\n * Tool definition.\n */\nexport type ToolDefinition = z.infer;\n\n/**\n * Zod schema of a common config object.\n */\nexport const GenerationCommonConfigSchema = z.object({\n /** A specific version of a model family, e.g. `gemini-1.0-pro-001` for the `gemini-1.0-pro` family. */\n version: z.string().optional(),\n temperature: z.number().optional(),\n maxOutputTokens: z.number().optional(),\n topK: z.number().optional(),\n topP: z.number().optional(),\n stopSequences: z.array(z.string()).optional(),\n});\n\n/**\n * Common config object.\n */\nexport type GenerationCommonConfig = typeof GenerationCommonConfigSchema;\n\n/**\n * Zod schema of output config.\n */\nexport const OutputConfigSchema = z.object({\n format: z.string().optional(),\n schema: z.record(z.any()).optional(),\n constrained: z.boolean().optional(),\n instructions: z.string().optional(),\n contentType: z.string().optional(),\n});\n\n/**\n * Output config.\n */\nexport type OutputConfig = z.infer;\n\n/** ModelRequestSchema represents the parameters that are passed to a model when generating content. */\nexport const ModelRequestSchema = z.object({\n messages: z.array(MessageSchema),\n config: z.any().optional(),\n tools: z.array(ToolDefinitionSchema).optional(),\n toolChoice: z.enum(['auto', 'required', 'none']).optional(),\n output: OutputConfigSchema.optional(),\n docs: z.array(DocumentDataSchema).optional(),\n});\n/** ModelRequest represents the parameters that are passed to a model when generating content. */\nexport interface ModelRequest<\n CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n> extends z.infer {\n config?: z.infer;\n}\n/**\n * Zod schema of a generate request.\n */\nexport const GenerateRequestSchema = ModelRequestSchema.extend({\n /** @deprecated All responses now return a single candidate. This will always be `undefined`. */\n candidates: z.number().optional(),\n});\n\n/**\n * Generate request data.\n */\nexport type GenerateRequestData = z.infer;\n\n/**\n * Generate request.\n */\nexport interface GenerateRequest<\n CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n> extends z.infer {\n config?: z.infer;\n}\n\n/**\n * Zod schema of usage info from a generate request.\n */\nexport const GenerationUsageSchema = z.object({\n inputTokens: z.number().optional(),\n outputTokens: z.number().optional(),\n totalTokens: z.number().optional(),\n inputCharacters: z.number().optional(),\n outputCharacters: z.number().optional(),\n inputImages: z.number().optional(),\n outputImages: z.number().optional(),\n inputVideos: z.number().optional(),\n outputVideos: z.number().optional(),\n inputAudioFiles: z.number().optional(),\n outputAudioFiles: z.number().optional(),\n custom: z.record(z.number()).optional(),\n});\n\n/**\n * Usage info from a generate request.\n */\nexport type GenerationUsage = z.infer;\n\n/** Model response finish reason enum. */\nexport const FinishReasonSchema = z.enum([\n 'stop',\n 'length',\n 'blocked',\n 'interrupted',\n 'other',\n 'unknown',\n]);\n\n/** @deprecated All responses now return a single candidate. Only the first candidate will be used if supplied. */\nexport const CandidateSchema = z.object({\n index: z.number(),\n message: MessageSchema,\n usage: GenerationUsageSchema.optional(),\n finishReason: FinishReasonSchema,\n finishMessage: z.string().optional(),\n custom: z.unknown(),\n});\n/** @deprecated All responses now return a single candidate. Only the first candidate will be used if supplied. */\nexport type CandidateData = z.infer;\n\n/** @deprecated All responses now return a single candidate. Only the first candidate will be used if supplied. */\nexport const CandidateErrorSchema = z.object({\n index: z.number(),\n code: z.enum(['blocked', 'other', 'unknown']),\n message: z.string().optional(),\n});\n/** @deprecated All responses now return a single candidate. Only the first candidate will be used if supplied. */\nexport type CandidateError = z.infer;\n\n/**\n * Zod schema of a model response.\n */\nexport const ModelResponseSchema = z.object({\n message: MessageSchema.optional(),\n finishReason: FinishReasonSchema,\n finishMessage: z.string().optional(),\n latencyMs: z.number().optional(),\n usage: GenerationUsageSchema.optional(),\n /** @deprecated use `raw` instead */\n custom: z.unknown(),\n raw: z.unknown(),\n request: GenerateRequestSchema.optional(),\n});\n\n/**\n * Model response data.\n */\nexport type ModelResponseData = z.infer;\n\n/**\n * Zod schema of generaete response.\n */\nexport const GenerateResponseSchema = ModelResponseSchema.extend({\n /** @deprecated All responses now return a single candidate. Only the first candidate will be used if supplied. Return `message`, `finishReason`, and `finishMessage` instead. */\n candidates: z.array(CandidateSchema).optional(),\n finishReason: FinishReasonSchema.optional(),\n});\n\n/**\n * Generate response data.\n */\nexport type GenerateResponseData = z.infer;\n\n/** ModelResponseChunkSchema represents a chunk of content to stream to the client. */\nexport const ModelResponseChunkSchema = z.object({\n role: RoleSchema.optional(),\n /** index of the message this chunk belongs to. */\n index: z.number().optional(),\n /** The chunk of content to stream right now. */\n content: z.array(PartSchema),\n /** Model-specific extra information attached to this chunk. */\n custom: z.unknown().optional(),\n /** If true, the chunk includes all data from previous chunks. Otherwise, considered to be incremental. */\n aggregated: z.boolean().optional(),\n});\nexport type ModelResponseChunkData = z.infer;\n\nexport const GenerateResponseChunkSchema = ModelResponseChunkSchema;\nexport type GenerateResponseChunkData = z.infer<\n typeof GenerateResponseChunkSchema\n>;\n\nexport type ModelAction<\n CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n> = Action<\n typeof GenerateRequestSchema,\n typeof GenerateResponseSchema,\n typeof GenerateResponseChunkSchema\n> & {\n __configSchema: CustomOptionsSchema;\n};\n\nexport type ModelMiddleware = SimpleMiddleware<\n z.infer,\n z.infer\n>;\n\nexport type DefineModelOptions<\n CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n> = {\n name: string;\n /** Known version names for this model, e.g. `gemini-1.0-pro-001`. */\n versions?: string[];\n /** Capabilities this model supports. */\n supports?: ModelInfo['supports'];\n /** Custom options schema for this model. */\n configSchema?: CustomOptionsSchema;\n /** Descriptive name for this model e.g. 'Google AI - Gemini Pro'. */\n label?: string;\n /** Middleware to be used with this model. */\n use?: ModelMiddleware[];\n};\n\n/**\n * Defines a new model and adds it to the registry.\n */\nexport function defineModel<\n CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n>(\n registry: Registry,\n options: DefineModelOptions,\n runner: (\n request: GenerateRequest,\n streamingCallback?: StreamingCallback\n ) => Promise\n): ModelAction {\n const label = options.label || options.name;\n const middleware: ModelMiddleware[] = [\n ...(options.use || []),\n validateSupport(options),\n ];\n if (!options?.supports?.context) middleware.push(augmentWithContext());\n const constratedSimulator = simulateConstrainedGeneration();\n middleware.push((req, next) => {\n if (\n !options?.supports?.constrained ||\n options?.supports?.constrained === 'none' ||\n (options?.supports?.constrained === 'no-tools' &&\n (req.tools?.length ?? 0) > 0)\n ) {\n return constratedSimulator(req, next);\n }\n return next(req);\n });\n const act = defineAction(\n registry,\n {\n actionType: 'model',\n name: options.name,\n description: label,\n inputSchema: GenerateRequestSchema,\n outputSchema: GenerateResponseSchema,\n metadata: {\n model: {\n label,\n customOptions: options.configSchema\n ? toJsonSchema({ schema: options.configSchema })\n : undefined,\n versions: options.versions,\n supports: options.supports,\n },\n },\n use: middleware,\n },\n (input) => {\n const startTimeMs = performance.now();\n\n return runner(input, getStreamingCallback(registry)).then((response) => {\n const timedResponse = {\n ...response,\n latencyMs: performance.now() - startTimeMs,\n };\n return timedResponse;\n });\n }\n );\n Object.assign(act, {\n __configSchema: options.configSchema || z.unknown(),\n });\n return act as ModelAction;\n}\n\nexport interface ModelReference {\n name: string;\n configSchema?: CustomOptions;\n info?: ModelInfo;\n version?: string;\n config?: z.infer;\n\n withConfig(cfg: z.infer): ModelReference;\n withVersion(version: string): ModelReference;\n}\n\n/** Cretes a model reference. */\nexport function modelRef<\n CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n>(\n options: Omit<\n ModelReference,\n 'withConfig' | 'withVersion'\n >\n): ModelReference {\n const ref: Partial> = { ...options };\n ref.withConfig = (\n cfg: z.infer\n ): ModelReference => {\n return modelRef({\n ...options,\n config: cfg,\n });\n };\n ref.withVersion = (version: string): ModelReference => {\n return modelRef({\n ...options,\n version,\n });\n };\n return ref as ModelReference;\n}\n\n/** Container for counting usage stats for a single input/output {Part} */\ntype PartCounts = {\n characters: number;\n images: number;\n videos: number;\n audio: number;\n};\n\n/**\n * Calculates basic usage statistics from the given model inputs and outputs.\n */\nexport function getBasicUsageStats(\n input: MessageData[],\n response: MessageData | CandidateData[]\n): GenerationUsage {\n const inputCounts = getPartCounts(input.flatMap((md) => md.content));\n const outputCounts = getPartCounts(\n Array.isArray(response)\n ? response.flatMap((c) => c.message.content)\n : response.content\n );\n return {\n inputCharacters: inputCounts.characters,\n inputImages: inputCounts.images,\n inputVideos: inputCounts.videos,\n inputAudioFiles: inputCounts.audio,\n outputCharacters: outputCounts.characters,\n outputImages: outputCounts.images,\n outputVideos: outputCounts.videos,\n outputAudioFiles: outputCounts.audio,\n };\n}\n\nfunction getPartCounts(parts: Part[]): PartCounts {\n return parts.reduce(\n (counts, part) => {\n const isImage =\n part.media?.contentType?.startsWith('image') ||\n part.media?.url?.startsWith('data:image');\n const isVideo =\n part.media?.contentType?.startsWith('video') ||\n part.media?.url?.startsWith('data:video');\n const isAudio =\n part.media?.contentType?.startsWith('audio') ||\n part.media?.url?.startsWith('data:audio');\n return {\n characters: counts.characters + (part.text?.length || 0),\n images: counts.images + (isImage ? 1 : 0),\n videos: counts.videos + (isVideo ? 1 : 0),\n audio: counts.audio + (isAudio ? 1 : 0),\n };\n },\n { characters: 0, images: 0, videos: 0, audio: 0 }\n );\n}\n\nexport type ModelArgument<\n CustomOptions extends z.ZodTypeAny = typeof GenerationCommonConfigSchema,\n> = ModelAction | ModelReference | string;\n\nexport interface ResolvedModel<\n CustomOptions extends z.ZodTypeAny = z.ZodTypeAny,\n> {\n modelAction: ModelAction;\n config?: z.infer;\n version?: string;\n}\n\nexport async function resolveModel(\n registry: Registry,\n model: ModelArgument | undefined,\n options?: { warnDeprecated?: boolean }\n): Promise> {\n let out: ResolvedModel;\n let modelId: string;\n\n if (!model) {\n model = await registry.lookupValue('defaultModel', 'defaultModel');\n }\n if (!model) {\n throw new GenkitError({\n status: 'INVALID_ARGUMENT',\n message: 'Must supply a `model` to `generate()` calls.',\n });\n }\n if (typeof model === 'string') {\n modelId = model;\n out = { modelAction: await registry.lookupAction(`/model/${model}`) };\n } else if (model.hasOwnProperty('__action')) {\n modelId = (model as ModelAction).__action.name;\n out = { modelAction: model as ModelAction };\n } else {\n const ref = model as ModelReference;\n modelId = ref.name;\n out = {\n modelAction: (await registry.lookupAction(\n `/model/${ref.name}`\n )) as ModelAction,\n config: {\n ...ref.config,\n },\n version: ref.version,\n };\n }\n\n if (!out.modelAction) {\n throw new GenkitError({\n status: 'NOT_FOUND',\n message: `Model '${modelId}' not found`,\n });\n }\n\n if (\n options?.warnDeprecated &&\n out.modelAction.__action.metadata?.model?.stage === 'deprecated'\n ) {\n logger.warn(\n `Model '${out.modelAction.__action.name}' is deprecated and may be removed in a future release.`\n );\n }\n\n return out;\n}\n\nexport const GenerateActionOutputConfig = z.object({\n format: z.string().optional(),\n contentType: z.string().optional(),\n instructions: z.union([z.boolean(), z.string()]).optional(),\n jsonSchema: z.any().optional(),\n constrained: z.boolean().optional(),\n});\n\nexport const GenerateActionOptionsSchema = z.object({\n /** A model name (e.g. `vertexai/gemini-1.0-pro`). */\n model: z.string(),\n /** Retrieved documents to be used as context for this generation. */\n docs: z.array(DocumentDataSchema).optional(),\n /** Conversation history for multi-turn prompting when supported by the underlying model. */\n messages: z.array(MessageSchema),\n /** List of registered tool names for this generation if supported by the underlying model. */\n tools: z.array(z.string()).optional(),\n /** Tool calling mode. `auto` lets the model decide whether to use tools, `required` forces the model to choose a tool, and `none` forces the model not to use any tools. Defaults to `auto`. */\n toolChoice: z.enum(['auto', 'required', 'none']).optional(),\n /** Configuration for the generation request. */\n config: z.any().optional(),\n /** Configuration for the desired output of the request. Defaults to the model's default output if unspecified. */\n output: GenerateActionOutputConfig.optional(),\n /** Options for resuming an interrupted generation. */\n resume: z\n .object({\n respond: z.array(ToolResponsePartSchema).optional(),\n restart: z.array(ToolRequestPartSchema).optional(),\n metadata: z.record(z.any()).optional(),\n })\n .optional(),\n /** When true, return tool calls for manual processing instead of automatically resolving them. */\n returnToolRequests: z.boolean().optional(),\n /** Maximum number of tool call iterations that can be performed in a single generate call (default 5). */\n maxTurns: z.number().optional(),\n});\nexport type GenerateActionOptions = 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