{"version":3,"sources":["../src/claude.ts"],"sourcesContent":["/**\n * Copyright 2024 The Fire Company\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 { Message as GenkitMessage, z } from 'genkit';\nimport type {\n GenerateResponseData,\n GenerateRequest,\n MessageData,\n Part,\n Role,\n StreamingCallback,\n Genkit,\n ModelReference,\n} from 'genkit';\nimport { GenerationCommonConfigSchema } from 'genkit';\nimport type {\n CandidateData,\n GenerateResponseChunkData,\n ModelAction,\n ToolDefinition,\n} from 'genkit/model';\nimport { modelRef } from 'genkit/model';\nimport type Anthropic from '@anthropic-ai/sdk';\nimport type {\n ImageBlockParam,\n TextBlock,\n TextBlockParam,\n MessageCreateParams,\n Tool,\n ToolResultBlockParam,\n ContentBlock,\n Message,\n MessageParam,\n MessageStreamEvent,\n ToolUseBlockParam,\n} from '@anthropic-ai/sdk/resources/messages.mjs';\n\nexport const AnthropicConfigSchema = GenerationCommonConfigSchema.extend({\n tool_choice: z\n .union([\n z.object({\n type: z.literal('auto'),\n }),\n z.object({\n type: z.literal('any'),\n }),\n z.object({\n type: z.literal('tool'),\n name: z.string(),\n }),\n ])\n .optional(),\n metadata: z\n .object({\n user_id: z.string().optional(),\n })\n .optional(),\n});\n\nexport const claude37Sonnet = modelRef({\n name: 'anthropic/claude-3-7-sonnet',\n info: {\n versions: ['claude-3-7-sonnet-20250219', 'claude-3-7-sonnet-latest'],\n label: 'Anthropic - Claude 3.7 Sonnet',\n supports: {\n multiturn: true,\n tools: true,\n media: true,\n systemRole: true,\n output: ['text'],\n },\n },\n configSchema: AnthropicConfigSchema,\n version: 'claude-3-7-sonnet-latest',\n});\n\nexport const claude35Sonnet = modelRef({\n name: 'anthropic/claude-3-5-sonnet',\n info: {\n versions: [\n 'claude-3-5-sonnet-20240620',\n 'claude-3-5-sonnet-20241022',\n 'claude-3-5-sonnet-latest',\n ],\n label: 'Anthropic - Claude 3.5 Sonnet',\n supports: {\n multiturn: true,\n tools: true,\n media: true,\n systemRole: true,\n output: ['text'],\n },\n },\n configSchema: AnthropicConfigSchema,\n version: 'claude-3-5-sonnet-latest',\n});\n\nexport const claude3Opus = modelRef({\n name: 'anthropic/claude-3-opus',\n info: {\n versions: ['claude-3-opus-20240229'],\n label: 'Anthropic - Claude 3 Opus',\n supports: {\n multiturn: true,\n tools: true,\n media: true,\n systemRole: true,\n output: ['text'],\n },\n },\n configSchema: AnthropicConfigSchema,\n version: 'claude-3-opus-20240229',\n});\n\nexport const claude3Sonnet = modelRef({\n name: 'anthropic/claude-3-sonnet',\n info: {\n versions: ['claude-3-sonnet-20240229'],\n label: 'Anthropic - Claude 3 Sonnet',\n supports: {\n multiturn: true,\n tools: true,\n media: true,\n systemRole: true,\n output: ['text'],\n },\n },\n configSchema: AnthropicConfigSchema,\n version: 'claude-3-sonnet-20240229',\n});\n\nexport const claude3Haiku = modelRef({\n name: 'anthropic/claude-3-haiku',\n info: {\n versions: ['claude-3-haiku-20240307'],\n label: 'Anthropic - Claude 3 Haiku',\n supports: {\n multiturn: true,\n tools: true,\n media: true,\n systemRole: true,\n output: ['text'],\n },\n },\n configSchema: AnthropicConfigSchema,\n version: 'claude-3-haiku-20240307',\n});\n\nexport const claude35Haiku = modelRef({\n name: 'anthropic/claude-3-5-haiku',\n info: {\n versions: ['claude-3-5-haiku-20241022', 'claude-3-5-haiku-latest'],\n label: 'Anthropic - Claude 3.5 Haiku',\n supports: {\n multiturn: true,\n tools: true,\n media: true,\n systemRole: true,\n output: ['text'],\n },\n },\n configSchema: AnthropicConfigSchema,\n version: 'claude-3-5-haiku-latest',\n});\n\nexport const SUPPORTED_CLAUDE_MODELS: Record<\n string,\n ModelReference\n> = {\n 'claude-3-7-sonnet': claude37Sonnet,\n 'claude-3-5-sonnet': claude35Sonnet,\n 'claude-3-opus': claude3Opus,\n 'claude-3-sonnet': claude3Sonnet,\n 'claude-3-haiku': claude3Haiku,\n 'claude-3-5-haiku': claude35Haiku,\n};\n\n/**\n * Converts a Genkit role to the corresponding Anthropic role.\n */\nexport function toAnthropicRole(\n role: Role,\n toolMessageType?: 'tool_use' | 'tool_result'\n): MessageParam['role'] {\n switch (role) {\n case 'user':\n return 'user';\n case 'model':\n return 'assistant';\n case 'tool':\n return toolMessageType === 'tool_use' ? 'assistant' : 'user';\n default:\n throw new Error(`role ${role} doesn't map to an Anthropic role.`);\n }\n}\n\ninterface Media {\n url: string;\n contentType?: string;\n}\n\nconst isMediaObject = (obj: unknown): obj is Media =>\n typeof obj === 'object' &&\n obj !== null &&\n 'url' in obj &&\n typeof (obj as Media).url === 'string';\n\nconst extractDataFromBase64Url = (\n url: string\n): { data: string; contentType: string } | null => {\n const match = url.match(/^data:([^;]+);base64,(.+)$/);\n return (\n match && {\n contentType: match[1],\n data: match[2],\n }\n );\n};\n\n/**\n * Converts a Genkit message Part to the corresponding Anthropic TextBlockParam or ImageBlockParam.\n */\nexport function toAnthropicToolResponseContent(\n part: Part\n): TextBlockParam | ImageBlockParam {\n if (!part.toolResponse) {\n throw Error(\n `Invalid genkit part provided to toAnthropicToolResponseContent: ${JSON.stringify(\n part\n )}.`\n );\n }\n const isMedia = isMediaObject(part.toolResponse?.output);\n const isString = typeof part.toolResponse?.output === 'string';\n let base64Data;\n if (isMedia) {\n base64Data = extractDataFromBase64Url(\n (part.toolResponse?.output as Media).url\n );\n } else if (isString) {\n base64Data = extractDataFromBase64Url(part.toolResponse?.output as string);\n }\n return base64Data\n ? {\n type: 'image',\n source: {\n type: 'base64',\n data: base64Data.data,\n media_type:\n ((part.toolResponse?.output as Media)\n ?.contentType as ImageBlockParam.Source['media_type']) ??\n base64Data.contentType,\n },\n }\n : {\n type: 'text',\n text: isString\n ? (part.toolResponse?.output as string)\n : JSON.stringify(part.toolResponse?.output),\n };\n}\n\n/**\n * Converts a Genkit Part to the corresponding Anthropic TextBlock, ImageBlockParam, etc.\n */\nexport function toAnthropicMessageContent(\n part: Part\n): TextBlock | ImageBlockParam | ToolUseBlockParam | ToolResultBlockParam {\n if (part.text) {\n return {\n type: 'text',\n text: part.text,\n };\n }\n if (part.media) {\n const { data, contentType } =\n extractDataFromBase64Url(part.media.url) ?? {};\n if (!data) {\n throw Error(\n `Invalid genkit part media provided to toAnthropicMessageContent: ${JSON.stringify(\n part.media\n )}.`\n );\n }\n return {\n type: 'image',\n source: {\n type: 'base64',\n data,\n // @ts-expect-error TODO: improve these types\n media_type: part.media.contentType ?? contentType,\n },\n };\n }\n if (part.toolRequest) {\n return {\n type: 'tool_use',\n id: part.toolRequest.ref!,\n name: part.toolRequest.name,\n input: part.toolRequest.input,\n };\n }\n if (part.toolResponse) {\n return {\n type: 'tool_result',\n tool_use_id: part.toolResponse.ref!,\n content: [toAnthropicToolResponseContent(part)],\n };\n }\n throw Error(\n `Unsupported genkit part fields encountered for current message role: ${JSON.stringify(\n part\n )}.`\n );\n}\n\n/**\n * Converts a Genkit MessageData array to Anthropic system message and MessageParam array.\n * @param messages The Genkit MessageData array to convert.\n * @returns An object containing the optional Anthropic system message and the array of Anthropic MessageParam objects.\n */\nexport function toAnthropicMessages(messages: MessageData[]): {\n system?: string;\n messages: MessageParam[];\n} {\n const system =\n messages[0]?.role === 'system' ? messages[0].content?.[0]?.text : undefined;\n const messagesToIterate = system ? messages.slice(1) : messages;\n const anthropicMsgs: MessageParam[] = [];\n for (const message of messagesToIterate) {\n const msg = new GenkitMessage(message);\n const content = msg.content.map(toAnthropicMessageContent);\n const toolMessageType = content.find(\n (c) => c.type === 'tool_use' || c.type === 'tool_result'\n ) as ToolUseBlockParam | ToolResultBlockParam;\n const role = toAnthropicRole(message.role, toolMessageType?.type);\n anthropicMsgs.push({\n role: role,\n content,\n });\n }\n return { system, messages: anthropicMsgs };\n}\n\n/**\n * Converts a Genkit ToolDefinition to an Anthropic Tool object.\n * @param tool The Genkit ToolDefinition to convert.\n * @returns The converted Anthropic Tool object.\n */\nexport function toAnthropicTool(tool: ToolDefinition): Tool {\n return {\n name: tool.name,\n description: tool.description,\n input_schema: tool.inputSchema as Tool.InputSchema,\n };\n}\n\n/**\n * Converts an Anthropic content block to a Genkit Part object.\n * @param contentBlock The Anthropic content block to convert.\n * @returns The converted Genkit Part object.\n * @param event The Anthropic message stream event to convert.\n * @returns The converted Genkit Part object if the event is a content block\n * start or delta, otherwise undefined.\n */\nfunction fromAnthropicContentBlock(contentBlock: ContentBlock): Part {\n return contentBlock.type === 'tool_use'\n ? {\n toolRequest: {\n ref: contentBlock.id,\n name: contentBlock.name,\n input: contentBlock.input,\n },\n }\n : { text: contentBlock.text };\n}\n\n/**\n * Converts an Anthropic message stream event to a Genkit Part object.\n */\nexport function fromAnthropicContentBlockChunk(\n event: MessageStreamEvent\n): Part | undefined {\n if (\n event.type !== 'content_block_start' &&\n event.type !== 'content_block_delta'\n ) {\n return;\n }\n const eventField =\n event.type === 'content_block_start' ? 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[\n {\n type: 'text',\n text: system,\n // @ts-expect-error cache_control is in beta\n cache_control: { type: 'ephemeral' },\n },\n ]\n : system,\n messages,\n tools: request.tools?.map(toAnthropicTool),\n max_tokens: request.config?.maxOutputTokens ?? 4096,\n model: mappedModelName,\n top_k: request.config?.topK,\n top_p: request.config?.topP,\n temperature: request.config?.temperature,\n stop_sequences: request.config?.stopSequences,\n metadata: request.config?.metadata,\n tool_choice: request.config?.tool_choice,\n stream,\n };\n\n if (request.output?.format && request.output.format !== 'text') {\n throw new Error(\n `Only text output format is supported for Claude models currently`\n );\n }\n for (const key in body) {\n if (!body[key] || (Array.isArray(body[key]) && !body[key].length))\n delete body[key];\n }\n return body;\n}\n\n/**\n * Creates the runner used by Genkit to interact with the Claude model.\n * @param name The name of the Claude model.\n * @param client The Anthropic client instance.\n * @param cacheSystemPrompt Whether to cache the system prompt.\n * @returns The runner that Genkit will call when the model is invoked.\n */\nexport function claudeRunner(\n name: string,\n client: Anthropic,\n cacheSystemPrompt?: boolean\n) {\n return async (\n request: GenerateRequest,\n streamingCallback?: StreamingCallback\n ): Promise => {\n let response: Message;\n const body = toAnthropicRequestBody(\n name,\n request,\n !!streamingCallback,\n cacheSystemPrompt\n );\n if (streamingCallback) {\n const stream = client.messages.stream(body);\n for await (const chunk of stream) {\n const c = fromAnthropicContentBlockChunk(chunk);\n if (c) {\n streamingCallback({\n index: 0,\n content: [c],\n });\n }\n }\n response = await stream.finalMessage();\n } else {\n response = (await client.messages.create(body)) as Message;\n }\n return fromAnthropicResponse(response);\n };\n}\n\n/**\n * Defines a Claude model with the given name and Anthropic client.\n */\nexport 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