{"version":3,"sources":["../../src/googleai/deep-research.ts"],"sourcesContent":["/**\n * Copyright 2025 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 { ActionMetadata, modelActionMetadata, z } from 'genkit';\nimport {\n BackgroundModelAction,\n ModelInfo,\n ModelReference,\n modelRef,\n} from 'genkit/model';\nimport { backgroundModel as pluginBackgroundModel } from 'genkit/plugin';\nimport {\n ensureToolIds,\n fromInteraction,\n toInteractionSteps,\n toInteractionTool,\n} from '../common/interaction-converters.mjs';\nimport {\n InteractionAllowedTools,\n InteractionTool,\n ResponseModality,\n} from '../common/interaction-types.mjs';\nimport { cleanSchema, isKnownKey } from '../common/utils.mjs';\nimport {\n cancelInteraction,\n createInteraction,\n getInteraction,\n} from './client.mjs';\nimport {\n ClientOptions,\n CreateInteractionRequest,\n GoogleAIPluginOptions,\n Model,\n} from './types.mjs';\nimport {\n applyContextOverrides,\n calculateApiKey,\n checkApiKey,\n checkModelName,\n extractVersion,\n isStringArray,\n modelName,\n} from './utils.mjs';\n\nexport const DeepResearchConfigSchema = z\n .object({\n apiKey: z\n .string()\n .describe('Override the API key provided at plugin initialization.')\n .optional(),\n baseUrl: z\n .string()\n .describe(\n 'Overrides the plugin-configured or default baseUrl, if specified.'\n )\n .optional(),\n apiVersion: z\n .string()\n .describe(\n 'Overrides the plugin-configured or default apiVersion, if specified.'\n )\n .optional(),\n thinkingSummaries: z\n .enum(['AUTO', 'NONE'])\n .describe('Whether to include thought summaries in the response.')\n .optional(),\n previousInteractionId: z\n .string()\n .describe('The ID of the previous interaction, if any.')\n .optional(),\n store: z\n .boolean()\n .describe(\n 'Whether to store the response and request for later retrieval.'\n )\n .optional(),\n responseModalities: z\n .array(z.enum(['TEXT', 'IMAGE', 'AUDIO']))\n .describe('The modalities to be used in response.')\n .optional(),\n visualization: z\n .enum(['AUTO', 'OFF'])\n .describe('Whether to enable agent-generated charts and images.')\n .optional(),\n collaborativePlanning: z\n .boolean()\n .describe(\n 'Whether to enable multi-turn plan review before research begins.'\n )\n .optional(),\n // TODO(V2): Remove googleSearch, urlContext, and codeExecution wrappers\n // and rely entirely on `config.tools` being passed through.\n googleSearch: z\n .union([z.boolean(), z.object({}).passthrough()])\n .describe(\n 'Search the public web. Enabled by default if no tools are provided.'\n )\n .optional(),\n urlContext: z\n .union([z.boolean(), z.object({}).passthrough()])\n .describe(\n 'Read and summarize web page content. Enabled by default if no tools are provided.'\n )\n .optional(),\n codeExecution: z\n .union([z.boolean(), z.object({}).passthrough()])\n .describe(\n 'Execute code to perform calculations and data analysis. Enabled by default if no tools are provided.'\n )\n .optional(),\n fileSearch: z\n .object({\n fileSearchStoreNames: z.array(z.string()),\n })\n .passthrough()\n .optional(),\n mcpServers: z\n .array(\n z\n .object({\n name: z.string().optional(),\n url: z.string().optional(),\n headers: z.record(z.string()).optional(),\n allowedTools: z\n .union([\n z.array(z.string()),\n z.array(\n z.object({\n mode: z\n .enum(['auto', 'any', 'none', 'validated'])\n .optional(),\n tools: z.array(z.string()).optional(),\n })\n ),\n ])\n .optional(),\n })\n .passthrough()\n )\n .optional(),\n })\n .passthrough();\nexport type DeepResearchConfigSchemaType = typeof DeepResearchConfigSchema;\nexport type DeepResearchConfig = z.infer;\n\n// This contains all the DeepResearch config schema types\ntype ConfigSchemaType = DeepResearchConfigSchemaType;\n\nfunction commonRef(\n name: string,\n info?: ModelInfo,\n configSchema: ConfigSchemaType = DeepResearchConfigSchema\n): ModelReference {\n return modelRef({\n name: `googleai/${name}`,\n configSchema,\n info:\n info ??\n ({\n supports: {\n multiturn: true,\n media: false,\n tools: false,\n toolChoice: false,\n systemRole: false,\n output: ['text'],\n longRunning: true,\n },\n } as ModelInfo),\n });\n}\n\nconst GENERIC_MODEL = commonRef('deep-research');\n\nconst ADVANCED_DEEP_RESEARCH_INFO = {\n supports: {\n multiturn: true,\n media: true,\n tools: true,\n toolChoice: false,\n systemRole: false,\n output: ['text', 'media'],\n longRunning: true,\n },\n} as ModelInfo;\n\nconst KNOWN_MODELS = {\n 'deep-research-preview-04-2026': commonRef(\n 'deep-research-preview-04-2026',\n ADVANCED_DEEP_RESEARCH_INFO\n ),\n 'deep-research-max-preview-04-2026': commonRef(\n 'deep-research-max-preview-04-2026',\n ADVANCED_DEEP_RESEARCH_INFO\n ),\n} as const;\nexport type KnownModels = keyof typeof KNOWN_MODELS; // For autocomplete\n\n// Models we no longer suggest, but that still work: they still resolve and\n// are still registered as actions, but aren't in the KnownModels type, so\n// they don't show up in autocomplete. Set `stage` on each one (keeping the\n// default `supports`).\nconst HIDDEN_MODELS = {\n // Deprecated; shuts down on Oct 23 2026 (changelog, Oct 8 2026). Replaced\n // by deep-research-preview-04-2026 and deep-research-max-preview-04-2026.\n 'deep-research-pro-preview-12-2025': commonRef(\n 'deep-research-pro-preview-12-2025',\n { ...GENERIC_MODEL.info, stage: 'deprecated' }\n ),\n} as const;\n\nconst ALL_MODELS = {\n ...HIDDEN_MODELS,\n ...KNOWN_MODELS,\n};\n\nexport type DeepResearchModelName = `deep-research-${string}`;\nexport function isDeepResearchModelName(\n value?: string\n): value is DeepResearchModelName {\n return !!value?.startsWith('deep-research-');\n}\n\nexport function model(\n version: string,\n config: DeepResearchConfig = {}\n): ModelReference {\n const name = checkModelName(version);\n\n if (isKnownKey(name, ALL_MODELS)) {\n return ALL_MODELS[name].withConfig(config);\n }\n\n return modelRef({\n name: `googleai/${name}`,\n config,\n configSchema: DeepResearchConfigSchema,\n info: { ...GENERIC_MODEL.info },\n });\n}\n\nexport function listActions(models: Model[]): ActionMetadata[] {\n return (\n models\n .filter((m) => isDeepResearchModelName(modelName(m.name)))\n // Filter out deprecated\n .filter((m) => !m.description || !m.description.includes('deprecated'))\n .map((m) => {\n const ref = model(m.name);\n return modelActionMetadata({\n name: ref.name,\n info: ref.info,\n configSchema: ref.configSchema,\n });\n })\n );\n}\n\nexport function listKnownModels(options?: GoogleAIPluginOptions) {\n return Object.keys(ALL_MODELS).map((name: string) =>\n defineModel(name, options)\n );\n}\n\nexport function defineModel(\n name: string,\n pluginOptions?: GoogleAIPluginOptions\n): BackgroundModelAction {\n checkApiKey(pluginOptions?.apiKey);\n const ref = model(name);\n const clientOptions: ClientOptions = {\n apiVersion: pluginOptions?.apiVersion,\n baseUrl: pluginOptions?.baseUrl,\n customHeaders: pluginOptions?.customHeaders,\n experimental_debugTraces: pluginOptions?.experimental_debugTraces,\n };\n\n return pluginBackgroundModel({\n name: ref.name,\n ...ref.info,\n configSchema: ref.configSchema,\n async start(request, options) {\n const {\n apiKey: apiKeyConfig,\n baseUrl,\n apiVersion,\n thinkingSummaries,\n visualization,\n collaborativePlanning,\n previousInteractionId,\n store,\n responseModalities,\n googleSearch,\n urlContext,\n codeExecution,\n fileSearch,\n mcpServers,\n ...rest\n } = request.config || {};\n const newClientOptions = applyContextOverrides(\n {\n ...clientOptions,\n apiKey: calculateApiKey(pluginOptions?.apiKey, apiKeyConfig),\n baseUrl: baseUrl || clientOptions.baseUrl,\n apiVersion: apiVersion || clientOptions.apiVersion,\n },\n options?.context\n );\n\n const messages = structuredClone(request.messages);\n // Deep Research does not support system instructions, so we map them to\n // user messages.\n for (const message of messages) {\n if (message.role === 'system') {\n message.role = 'user';\n }\n }\n\n const tools: InteractionTool[] = [];\n if (request.tools?.length) {\n for (const tool of request.tools) {\n tools.push(toInteractionTool(tool));\n }\n }\n\n // TODO(v2): Remove these explicit tool pushes for googleSearch, urlContext, and codeExecution.\n if (googleSearch) {\n tools.push({\n type: 'google_search',\n ...(googleSearch === true ? {} : googleSearch),\n } as InteractionTool);\n }\n if (urlContext) {\n tools.push({\n type: 'url_context',\n ...(urlContext === true ? {} : urlContext),\n } as InteractionTool);\n }\n if (codeExecution) {\n tools.push({\n type: 'code_execution',\n ...(codeExecution === true ? {} : codeExecution),\n } as InteractionTool);\n }\n if (fileSearch) {\n const { fileSearchStoreNames, ...restFileSearch } = fileSearch;\n tools.push({\n type: 'file_search',\n file_search_store_names: fileSearchStoreNames,\n ...restFileSearch,\n } as InteractionTool);\n }\n if (mcpServers) {\n for (const mcpServer of mcpServers) {\n const { allowedTools, ...restMcp } = mcpServer;\n let allowed_tools: InteractionAllowedTools[] | undefined = undefined;\n if (allowedTools && allowedTools.length > 0) {\n // A plain list of tool names is shorthand for one entry with no\n // mode.\n allowed_tools = isStringArray(allowedTools)\n ? [{ tools: allowedTools }]\n : allowedTools;\n }\n tools.push({\n type: 'mcp_server',\n ...restMcp,\n ...(allowed_tools ? { allowed_tools } : {}),\n });\n }\n }\n\n let responseFormat: any = undefined;\n if (\n request.output?.format === 'json' ||\n request.output?.contentType === 'application/json'\n ) {\n responseFormat = {\n type: 'text',\n mime_type: 'application/json',\n };\n if (request.output.schema) {\n responseFormat.schema = cleanSchema(request.output.schema);\n }\n }\n\n let responseModalitiesConverted: ResponseModality[] | undefined;\n if (responseModalities) {\n responseModalitiesConverted = responseModalities.map(\n (m) => m.toLowerCase() as ResponseModality\n );\n }\n\n const req: CreateInteractionRequest = {\n agent: extractVersion(ref),\n input: toInteractionSteps(ensureToolIds(messages)),\n background: true,\n agent_config: {\n type: 'deep-research',\n thinking_summaries: thinkingSummaries?.toLowerCase() as\n | 'auto'\n | 'none'\n | undefined,\n visualization: visualization?.toLowerCase() as\n | 'auto'\n | 'off'\n | undefined,\n collaborative_planning: collaborativePlanning,\n },\n previous_interaction_id: previousInteractionId,\n store,\n tools: tools.length ? tools : undefined,\n response_format: responseFormat,\n response_modalities: responseModalitiesConverted,\n ...rest,\n };\n\n const response = await createInteraction(\n newClientOptions.apiKey,\n req,\n newClientOptions\n );\n\n return fromInteraction(response);\n },\n async check(operation, options) {\n const checkOptions = applyContextOverrides(\n {\n ...clientOptions,\n apiKey: calculateApiKey(pluginOptions?.apiKey, undefined),\n },\n options?.context\n );\n\n const response = await getInteraction(\n checkOptions.apiKey,\n operation.id,\n checkOptions\n );\n\n return fromInteraction(response);\n },\n async cancel(operation, options) {\n const cancelOptions = applyContextOverrides(\n {\n ...clientOptions,\n apiKey: calculateApiKey(pluginOptions?.apiKey, undefined),\n },\n options?.context\n );\n\n const response = await cancelInteraction(\n cancelOptions.apiKey,\n operation.id,\n cancelOptions\n );\n\n return fromInteraction(response);\n },\n });\n}\n\nexport const TEST_ONLY = { KNOWN_MODELS, HIDDEN_MODELS, GENERIC_MODEL 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