{"version":3,"sources":["../../../src/modelgarden/v2/anthropic.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 type {\n ContentBlock as AnthropicContent,\n ImageBlockParam,\n Message,\n MessageCreateParamsBase,\n MessageParam,\n TextBlock,\n TextBlockParam,\n TextDelta,\n Tool,\n ToolResultBlockParam,\n ToolUseBlock,\n ToolUseBlockParam,\n} from '@anthropic-ai/sdk/resources/messages';\nimport { AnthropicVertex } from '@anthropic-ai/vertex-sdk';\nimport {\n ActionMetadata,\n z,\n type GenerateRequest,\n type Part as GenkitPart,\n type MessageData,\n type ModelReference,\n type ModelResponseData,\n type Part,\n} from 'genkit';\nimport {\n GenerationCommonConfigSchema,\n ModelInfo,\n getBasicUsageStats,\n modelRef,\n type ModelAction,\n} from 'genkit/model';\nimport { model as pluginModel } from 'genkit/plugin';\nimport { getGenkitClientHeader } from '../../common/index.js';\nimport { PluginOptions } from './types.js';\nimport { checkModelName } from './utils.js';\n\nexport const AnthropicConfigSchema = GenerationCommonConfigSchema.extend({\n location: z.string().optional(),\n}).passthrough();\nexport type AnthropicConfigSchemaType = typeof AnthropicConfigSchema;\nexport type AnthropicConfig = z.infer;\n\n// All the config schema types\ntype ConfigSchemaType = AnthropicConfigSchemaType;\n\nfunction commonRef(\n name: string,\n info?: ModelInfo,\n configSchema: ConfigSchemaType = AnthropicConfigSchema\n): ModelReference {\n return modelRef({\n name: `vertex-model-garden/${name}`,\n configSchema,\n info: info ?? {\n supports: {\n multiturn: true,\n media: true,\n tools: true,\n systemRole: true,\n output: ['text'],\n },\n },\n });\n}\n\nexport const GENERIC_MODEL = commonRef('anthropic');\n\nexport const KNOWN_MODELS = {\n 'claude-sonnet-4-6': commonRef('claude-sonnet-4-6'),\n 'claude-opus-4-6': commonRef('claude-opus-4-6'),\n 'claude-haiku-4-5@20251001': commonRef('claude-haiku-4-5@20251001'),\n 'claude-sonnet-4-5@20250929': commonRef('claude-sonnet-4-5@20250929'),\n 'claude-sonnet-4@20250514': commonRef('claude-sonnet-4@20250514'),\n 'claude-opus-4-5@20251101': commonRef('claude-opus-4-5@20251101'),\n 'claude-opus-4-1@20250805': commonRef('claude-opus-4-1@20250805'),\n 'claude-opus-4@20250514': commonRef('claude-opus-4@20250514'),\n};\nexport type KnownModels = keyof typeof KNOWN_MODELS;\nexport type AnthropicModelName = `claude-${string}`;\nexport function isAnthropicModelName(\n value?: string\n): value is AnthropicModelName {\n return !!value?.startsWith('claude-');\n}\n\nexport function model(\n version: string,\n options: AnthropicConfig = {}\n): ModelReference {\n const name = checkModelName(version);\n\n return modelRef({\n name: `vertex-model-garden/${name}`,\n config: options,\n configSchema: AnthropicConfigSchema,\n info: {\n ...GENERIC_MODEL.info,\n },\n });\n}\n\nexport interface ClientOptions {\n location: string; // e.g. 'us-central1' or 'global'\n projectId: string;\n}\n\nexport function listActions(clientOptions: ClientOptions): ActionMetadata[] {\n // TODO: figure out where to get the list of models.\n return [];\n}\n\nexport function listKnownModels(\n clientOptions: ClientOptions,\n pluginOptions?: PluginOptions\n) {\n return Object.keys(KNOWN_MODELS).map((name) =>\n defineModel(name, clientOptions, pluginOptions)\n );\n}\n\nexport function defineModel(\n name: string,\n clientOptions: ClientOptions,\n pluginOptions?: PluginOptions\n): ModelAction {\n const clients: Record = {};\n const clientFactory = (region: string): AnthropicVertex => {\n if (!clients[region]) {\n clients[region] = new AnthropicVertex({\n region: region,\n projectId: clientOptions.projectId,\n defaultHeaders: {\n 'X-Goog-Api-Client': getGenkitClientHeader(),\n },\n });\n }\n return clients[region];\n };\n const ref = model(name);\n\n return pluginModel(\n {\n name: ref.name,\n ...ref.info,\n configSchema: ref.configSchema,\n },\n async (request, { streamingRequested, sendChunk }) => {\n const client = clientFactory(\n request.config?.location || clientOptions.location\n );\n const modelVersion = checkModelName(ref.name);\n const anthropicRequest = toAnthropicRequest(modelVersion, request);\n if (!streamingRequested) {\n // Non-streaming\n const response = await client.messages.create({\n ...anthropicRequest,\n stream: false,\n });\n return fromAnthropicResponse(request, response);\n } else {\n // Streaming\n const stream = await client.messages.stream(anthropicRequest);\n for await (const event of stream) {\n if (event.type === 'content_block_delta') {\n sendChunk({\n index: 0,\n content: [\n {\n text: (event.delta as TextDelta).text,\n },\n ],\n });\n }\n }\n return fromAnthropicResponse(request, await stream.finalMessage());\n }\n }\n );\n}\n\nexport function toAnthropicRequest(\n model: string,\n input: GenerateRequest\n): MessageCreateParamsBase {\n let system: string | undefined = undefined;\n const messages: MessageParam[] = [];\n for (const msg of input.messages) {\n if (msg.role === 'system') {\n system = msg.content\n .map((c) => {\n if (!c.text) {\n throw new Error(\n 'Only text context is supported for system messages.'\n );\n }\n return c.text;\n })\n .join();\n }\n // If the last message is a tool response, we need to add a user message.\n // https://docs.anthropic.com/en/docs/build-with-claude/tool-use#handling-tool-use-and-tool-result-content-blocks\n else if (msg.content[msg.content.length - 1].toolResponse) {\n messages.push({\n role: 'user',\n content: toAnthropicContent(msg.content),\n });\n } else {\n messages.push({\n role: toAnthropicRole(msg.role),\n content: toAnthropicContent(msg.content),\n });\n }\n }\n const request = {\n model,\n messages,\n // https://docs.anthropic.com/claude/docs/models-overview#model-comparison\n max_tokens: input.config?.maxOutputTokens ?? 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Either data is missing or type cannot be inferred from type.'\n );\n}\n\n// Converts an Anthropic response to a Genkit response.\nexport function fromAnthropicResponse(\n input: GenerateRequest,\n response: Message\n): ModelResponseData {\n const parts = response.content as AnthropicContent[];\n const message: MessageData = {\n role: 'model',\n content: parts.map(fromAnthropicPart),\n };\n return {\n message,\n finishReason: toGenkitFinishReason(\n response.stop_reason as\n | 'end_turn'\n | 'max_tokens'\n | 'stop_sequence'\n | 'tool_use'\n | null\n ),\n custom: {\n id: response.id,\n model: response.model,\n type: response.type,\n },\n usage: {\n ...getBasicUsageStats(input.messages, message),\n inputTokens: response.usage.input_tokens,\n outputTokens: response.usage.output_tokens,\n },\n };\n}\n\nfunction toGenkitFinishReason(\n reason: 'end_turn' | 'max_tokens' | 'stop_sequence' | 'tool_use' | null\n): ModelResponseData['finishReason'] {\n switch (reason) {\n case 'end_turn':\n 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