@genkit-ai/ai/lib/model.mjs.map

Genkit AI framework generative AI APIs.

{"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  ActionFnArg,\n  BackgroundAction,\n  GenkitError,\n  Operation,\n  OperationSchema,\n  action,\n  backgroundAction,\n  defineAction,\n  registerBackgroundAction,\n  z,\n  type Action,\n  type ActionMetadata,\n  type ActionParams,\n  type SimpleMiddleware,\n  type StreamingCallback,\n} from '@genkit-ai/core';\nimport { logger } from '@genkit-ai/core/logging';\nimport type { Registry } from '@genkit-ai/core/registry';\nimport { toJsonSchema } from '@genkit-ai/core/schema';\nimport { performance } from 'node:perf_hooks';\nimport {\n  CustomPartSchema,\n  DataPartSchema,\n  MediaPartSchema,\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} from './document.js';\nimport {\n  CandidateData,\n  GenerateRequest,\n  GenerateRequestSchema,\n  GenerateResponseChunkData,\n  GenerateResponseChunkSchema,\n  GenerateResponseData,\n  GenerateResponseSchema,\n  GenerationUsage,\n  MessageData,\n  ModelInfo,\n  Part,\n} from './model-types.js';\nimport {\n  augmentWithContext,\n  simulateConstrainedGeneration,\n} from './model/middleware.js';\nexport { defineGenerateAction } from './generate/action.js';\nexport * from './model-types.js';\nexport {\n  CustomPartSchema,\n  DataPartSchema,\n  MediaPartSchema,\n  TextPartSchema,\n  ToolRequestPartSchema,\n  ToolResponsePartSchema,\n  simulateConstrainedGeneration,\n  type CustomPart,\n  type DataPart,\n  type MediaPart,\n  type TextPart,\n  type ToolRequestPart,\n  type ToolResponsePart,\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 BackgroundModelAction<\n  CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n> = BackgroundAction<\n  typeof GenerateRequestSchema,\n  typeof GenerateResponseSchema\n> & {\n  __configSchema: CustomOptionsSchema;\n};\n\nexport type ModelMiddleware = SimpleMiddleware<\n  z.infer<typeof GenerateRequestSchema>,\n  z.infer<typeof GenerateResponseSchema>\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\nexport function model<CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny>(\n  options: DefineModelOptions<CustomOptionsSchema>,\n  runner: (\n    request: GenerateRequest<CustomOptionsSchema>,\n    options: ActionFnArg<GenerateResponseChunkData>\n  ) => Promise<GenerateResponseData>\n): ModelAction<CustomOptionsSchema> {\n  const act = action(modelActionOptions(options), (input, ctx) => {\n    const startTimeMs = performance.now();\n    return runner(input, ctx).then((response) => {\n      const timedResponse = {\n        ...response,\n        latencyMs: performance.now() - startTimeMs,\n      };\n      return timedResponse;\n    });\n  });\n  Object.assign(act, {\n    __configSchema: options.configSchema || z.unknown(),\n  });\n  return act as ModelAction<CustomOptionsSchema>;\n}\n\nfunction modelActionOptions<\n  CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n>(\n  options: DefineModelOptions<CustomOptionsSchema>\n): ActionParams<typeof GenerateRequestSchema, typeof GenerateResponseSchema> {\n  const label = options.label || options.name;\n  const middleware = getModelMiddleware(options);\n  return {\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}\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: {\n    apiVersion: 'v2';\n  } & DefineModelOptions<CustomOptionsSchema>,\n  runner: (\n    request: GenerateRequest<CustomOptionsSchema>,\n    options: ActionFnArg<GenerateResponseChunkData>\n  ) => Promise<GenerateResponseData>\n): ModelAction<CustomOptionsSchema>;\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<CustomOptionsSchema>,\n  runner: (\n    request: GenerateRequest<CustomOptionsSchema>,\n    streamingCallback?: StreamingCallback<GenerateResponseChunkData>\n  ) => Promise<GenerateResponseData>\n): ModelAction<CustomOptionsSchema>;\n\nexport function defineModel<\n  CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n>(\n  registry: Registry,\n  options: any,\n  runner: (\n    request: GenerateRequest<CustomOptionsSchema>,\n    options: any\n  ) => Promise<GenerateResponseData>\n): ModelAction<CustomOptionsSchema> {\n  const act = defineAction(\n    registry,\n    modelActionOptions(options),\n    (input, ctx) => {\n      const startTimeMs = performance.now();\n      const secondParam =\n        options.apiVersion === 'v2'\n          ? ctx\n          : ctx.streamingRequested\n            ? ctx.sendChunk\n            : undefined;\n      return runner(input, secondParam).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<CustomOptionsSchema>;\n}\n\nexport type DefineBackgroundModelOptions<\n  CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n> = DefineModelOptions<CustomOptionsSchema> & {\n  start: (\n    request: GenerateRequest<CustomOptionsSchema>\n  ) => Promise<Operation<GenerateResponseData>>;\n  check: (\n    operation: Operation<GenerateResponseData>\n  ) => Promise<Operation<GenerateResponseData>>;\n  cancel?: (\n    operation: Operation<GenerateResponseData>\n  ) => Promise<Operation<GenerateResponseData>>;\n};\n\n/**\n * Defines a new model that runs in the background.\n */\nexport function defineBackgroundModel<\n  CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n>(\n  registry: Registry,\n  options: DefineBackgroundModelOptions<CustomOptionsSchema>\n): BackgroundModelAction<CustomOptionsSchema> {\n  const act = backgroundModel(options);\n  registerBackgroundAction(registry, act);\n  return act;\n}\n/**\n * Defines a new model that runs in the background.\n */\nexport function backgroundModel<\n  CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n>(\n  options: DefineBackgroundModelOptions<CustomOptionsSchema>\n): BackgroundModelAction<CustomOptionsSchema> {\n  const label = options.label || options.name;\n  const middleware = getModelMiddleware(options);\n  const act = backgroundAction({\n    actionType: 'background-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    async start(request) {\n      const startTimeMs = performance.now();\n      const response = await options.start(request);\n      Object.assign(response, {\n        latencyMs: performance.now() - startTimeMs,\n      });\n      return response;\n    },\n    async check(op) {\n      return options.check(op);\n    },\n    cancel: options.cancel\n      ? async (op) => {\n          if (!options.cancel) {\n            throw new GenkitError({\n              status: 'UNIMPLEMENTED',\n              message: 'cancel not implemented',\n            });\n          }\n          return options.cancel(op);\n        }\n      : undefined,\n  }) as BackgroundModelAction<CustomOptionsSchema>;\n  Object.assign(act, {\n    __configSchema: options.configSchema || z.unknown(),\n  });\n  return act;\n}\n\nfunction getModelMiddleware(options: {\n  use?: ModelMiddleware[];\n  name: string;\n  supports?: ModelInfo['supports'];\n}) {\n  const middleware: ModelMiddleware[] = options.use || [];\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\n  return middleware;\n}\n\nexport interface ModelReference<CustomOptions extends z.ZodTypeAny> {\n  name: string;\n  configSchema?: CustomOptions;\n  info?: ModelInfo;\n  version?: string;\n  config?: z.infer<CustomOptions>;\n\n  withConfig(cfg: z.infer<CustomOptions>): ModelReference<CustomOptions>;\n  withVersion(version: string): ModelReference<CustomOptions>;\n}\n\n/**\n * Packages model information into ActionMetadata object.\n */\nexport function modelActionMetadata({\n  name,\n  info,\n  configSchema,\n  background,\n}: {\n  name: string;\n  info?: ModelInfo;\n  configSchema?: z.ZodTypeAny;\n  background?: boolean;\n}): ActionMetadata {\n  return {\n    actionType: background ? 'background-model' : 'model',\n    name: name,\n    inputJsonSchema: toJsonSchema({ schema: GenerateRequestSchema }),\n    outputJsonSchema: background\n      ? toJsonSchema({ schema: OperationSchema })\n      : toJsonSchema({ schema: GenerateResponseSchema }),\n    metadata: {\n      model: {\n        ...info,\n        customOptions: configSchema\n          ? toJsonSchema({ schema: configSchema })\n          : undefined,\n      },\n    },\n  } as ActionMetadata;\n}\n\n/** Cretes a model reference. */\nexport function modelRef<\n  CustomOptionsSchema extends z.ZodTypeAny = z.ZodTypeAny,\n>(\n  options: Omit<\n    ModelReference<CustomOptionsSchema>,\n    'withConfig' | 'withVersion'\n  > & {\n    namespace?: string;\n  }\n): ModelReference<CustomOptionsSchema> {\n  let name = options.name;\n  if (options.namespace && !name.startsWith(options.namespace + '/')) {\n    name = `${options.namespace}/${name}`;\n  }\n  const ref: Partial<ModelReference<CustomOptionsSchema>> = {\n    ...options,\n    name,\n  };\n  ref.withConfig = (\n    cfg: z.infer<CustomOptionsSchema>\n  ): ModelReference<CustomOptionsSchema> => {\n    return modelRef({\n      ...options,\n      name,\n      config: cfg,\n    });\n  };\n  ref.withVersion = (version: string): ModelReference<CustomOptionsSchema> => {\n    return modelRef({\n      ...options,\n      name,\n      version,\n    });\n  };\n  return ref as ModelReference<CustomOptionsSchema>;\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<CustomOptions extends z.ZodTypeAny = z.ZodTypeAny> =\n  | ModelAction<CustomOptions>\n  | ModelReference<CustomOptions>\n  | string;\n\nexport interface ResolvedModel<\n  CustomOptions extends z.ZodTypeAny = z.ZodTypeAny,\n> {\n  modelAction: ModelAction;\n  config?: z.infer<CustomOptions>;\n  version?: string;\n}\n\nexport async function resolveModel<C extends z.ZodTypeAny = z.ZodTypeAny>(\n  registry: Registry,\n  model: ModelArgument<C> | undefined,\n  options?: { warnDeprecated?: boolean }\n): Promise<ResolvedModel<C>> {\n  let out: ResolvedModel<C>;\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 lookupModel(registry, 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<any>;\n    modelId = ref.name;\n    out = {\n      modelAction: await lookupModel(registry, ref.name),\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\nasync function lookupModel(\n  registry: Registry,\n  model: string\n): Promise<ModelAction> {\n  return (\n    (await registry.lookupAction(`/model/${model}`)) ||\n    (await registry.lookupAction(`/background-model/${model}`))\n  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