@genkit-ai/anthropic/lib/runner/stable.mjs.map

Genkit AI framework plugin for Anthropic APIs.

{"version":3,"sources":["../../src/runner/stable.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 { MessageStream } from '@anthropic-ai/sdk/lib/MessageStream.js';\nimport type {\n  ContentBlock,\n  DocumentBlockParam,\n  ImageBlockParam,\n  Message,\n  MessageCreateParams,\n  MessageCreateParamsNonStreaming,\n  MessageCreateParamsStreaming,\n  MessageParam,\n  MessageStreamEvent,\n  RedactedThinkingBlockParam,\n  TextBlockParam,\n  ThinkingBlockParam,\n  Tool,\n  ToolResultBlockParam,\n  ToolUseBlockParam,\n} from '@anthropic-ai/sdk/resources/messages';\nimport type {\n  GenerateRequest,\n  GenerateResponseData,\n  ModelResponseData,\n  Part,\n} from 'genkit';\nimport { logger } from 'genkit/logging';\n\nimport {\n  AnthropicConfigSchema,\n  type AnthropicDocumentOptions,\n  type ClaudeRunnerParams,\n} from '../types.mjs';\nimport { checkModelName, removeUndefinedProperties } from '../utils.mjs';\nimport { BaseRunner } from './base.mjs';\nimport {\n  citationsDeltaToPart,\n  redactedThinkingBlockToPart,\n  textBlockToPart,\n  textDeltaToPart,\n  thinkingBlockToPart,\n  thinkingDeltaToPart,\n  toolUseBlockToPart,\n  webSearchToolResultBlockToPart,\n} from './converters/shared.mjs';\nimport {\n  serverToolUseBlockToPart,\n  toDocumentBlock,\n} from './converters/stable.mjs';\nimport { RunnerTypes as BaseRunnerTypes } from './types.mjs';\n\ninterface RunnerTypes extends BaseRunnerTypes {\n  Message: Message;\n  Stream: MessageStream;\n  StreamEvent: MessageStreamEvent;\n  RequestBody: MessageCreateParamsNonStreaming;\n  StreamingRequestBody: MessageCreateParamsStreaming;\n  Tool: Tool;\n  MessageParam: MessageParam;\n  ToolResponseContent: TextBlockParam | ImageBlockParam;\n  ContentBlockParam:\n    | TextBlockParam\n    | ImageBlockParam\n    | DocumentBlockParam\n    | ToolUseBlockParam\n    | ToolResultBlockParam\n    | ThinkingBlockParam\n    | RedactedThinkingBlockParam;\n}\n\nexport class Runner extends BaseRunner<RunnerTypes> {\n  constructor(params: ClaudeRunnerParams) {\n    super(params);\n  }\n\n  protected toAnthropicMessageContent(\n    part: Part\n  ):\n    | TextBlockParam\n    | ImageBlockParam\n    | DocumentBlockParam\n    | ToolUseBlockParam\n    | ToolResultBlockParam\n    | ThinkingBlockParam\n    | RedactedThinkingBlockParam {\n    if (part.reasoning) {\n      const signature = this.getThinkingSignature(part);\n      if (!signature) {\n        throw new Error(\n          'Anthropic thinking parts require a signature when sending back to the API. Preserve the `metadata.thoughtSignature` value from the original response.'\n        );\n      }\n      return {\n        type: 'thinking',\n        thinking: part.reasoning,\n        signature,\n      };\n    }\n\n    const redactedThinking = this.getRedactedThinkingData(part);\n    if (redactedThinking !== undefined) {\n      return {\n        type: 'redacted_thinking',\n        data: redactedThinking,\n      };\n    }\n\n    if (part.text) {\n      return {\n        type: 'text',\n        text: part.text,\n        citations: null,\n        // This is intentional. `part.metadata?.cache_control` is unknown, and casting it to the relevant type of the property makes it more robust to Anthropic SDK API changes.\n        cache_control: part.metadata\n          ?.cache_control as TextBlockParam['cache_control'],\n      };\n    }\n\n    // Custom document (for citations support)\n    if (part.custom?.anthropicDocument) {\n      return toDocumentBlock(\n        part.custom.anthropicDocument as AnthropicDocumentOptions\n      );\n    }\n\n    if (part.media) {\n      if (part.media.contentType === 'application/pdf') {\n        return {\n          type: 'document',\n          source: this.toPdfDocumentSource(part.media),\n          cache_control: part.metadata\n            ?.cache_control as DocumentBlockParam['cache_control'],\n        };\n      }\n\n      const source = this.toImageSource(part.media);\n      if (source.kind === 'base64') {\n        return {\n          type: 'image',\n          source: {\n            type: 'base64',\n            data: source.data,\n            media_type: source.mediaType,\n          },\n          cache_control: part.metadata\n            ?.cache_control as ImageBlockParam['cache_control'],\n        };\n      }\n      return {\n        type: 'image',\n        source: {\n          type: 'url',\n          url: source.url,\n        },\n        cache_control: part.metadata\n          ?.cache_control as ImageBlockParam['cache_control'],\n      };\n    }\n\n    if (part.toolRequest) {\n      if (!part.toolRequest.ref) {\n        throw new Error(\n          `Tool request ref is required for Anthropic API. Part: ${JSON.stringify(\n            part.toolRequest\n          )}`\n        );\n      }\n      return {\n        type: 'tool_use',\n        id: part.toolRequest.ref,\n        name: part.toolRequest.name,\n        input: part.toolRequest.input,\n        cache_control: part.metadata\n          ?.cache_control as ToolUseBlockParam['cache_control'],\n      };\n    }\n\n    if (part.toolResponse) {\n      if (!part.toolResponse.ref) {\n        throw new Error(\n          `Tool response ref is required for Anthropic API. Part: ${JSON.stringify(\n            part.toolResponse\n          )}`\n        );\n      }\n      return {\n        type: 'tool_result',\n        tool_use_id: part.toolResponse.ref,\n        content: [this.toAnthropicToolResponseContent(part)],\n        cache_control: part.metadata\n          ?.cache_control as ToolResultBlockParam['cache_control'],\n      };\n    }\n\n    throw new Error(\n      `Unsupported genkit part fields encountered for current message role: ${JSON.stringify(\n        part\n      )}.`\n    );\n  }\n\n  protected toAnthropicRequestBody(\n    modelName: string,\n    request: GenerateRequest<typeof AnthropicConfigSchema>\n  ): MessageCreateParamsNonStreaming {\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\n    const { system, messages } = this.toAnthropicMessages(request.messages);\n    const mappedModelName =\n      request.config?.version ?? checkModelName(modelName);\n\n    const thinkingConfig = this.toAnthropicThinkingConfig(\n      request.config?.thinking\n    ) as MessageCreateParams['thinking'] | undefined;\n\n    // Need to extract topP and topK from request.config to avoid duplicate properties being added to the body\n    // This happens because topP and topK have different property names (top_p and top_k) in the Anthropic API.\n    // Thinking is extracted separately to avoid type issues.\n    // ApiVersion is extracted separately as it's not a valid property for the Anthropic API.\n    const {\n      topP,\n      topK,\n      apiVersion: _1,\n      thinking: _2,\n      maxOutputTokens,\n      stopSequences,\n      version,\n      apiKey,\n      ...restConfig\n    } = request.config ?? {};\n\n    const body: MessageCreateParamsNonStreaming = {\n      model: mappedModelName,\n      max_tokens: maxOutputTokens ?? this.DEFAULT_MAX_OUTPUT_TOKENS,\n      messages,\n      system: system as TextBlockParam[],\n      stop_sequences: stopSequences,\n      temperature: request.config?.temperature,\n      top_k: topK,\n      top_p: topP,\n      tool_choice: request.config?.tool_choice,\n      metadata: request.config?.metadata,\n      tools: request.tools?.map((tool) => this.toAnthropicTool(tool)),\n      thinking: thinkingConfig,\n      ...restConfig,\n    };\n\n    return removeUndefinedProperties(body);\n  }\n\n  protected toAnthropicStreamingRequestBody(\n    modelName: string,\n    request: GenerateRequest<typeof AnthropicConfigSchema>\n  ): MessageCreateParamsStreaming {\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\n    const { system, messages } = this.toAnthropicMessages(request.messages);\n    const mappedModelName =\n      request.config?.version ?? checkModelName(modelName);\n\n    const thinkingConfig = this.toAnthropicThinkingConfig(\n      request.config?.thinking\n    ) as MessageCreateParams['thinking'] | undefined;\n\n    // Need to extract topP and topK from request.config to avoid duplicate properties being added to the body\n    // This happens because topP and topK have different property names (top_p and top_k) in the Anthropic API.\n    // Thinking is extracted separately to avoid type issues.\n    // ApiVersion is extracted separately as it's not a valid property for the Anthropic API.\n    const {\n      topP,\n      topK,\n      apiVersion: _1,\n      thinking: _2,\n      maxOutputTokens,\n      stopSequences,\n      version,\n      apiKey,\n      ...restConfig\n    } = request.config ?? {};\n\n    const body: MessageCreateParamsStreaming = {\n      model: mappedModelName,\n      max_tokens:\n        request.config?.maxOutputTokens ?? this.DEFAULT_MAX_OUTPUT_TOKENS,\n      messages,\n      stream: true,\n      system: system as TextBlockParam[],\n      stop_sequences: request.config?.stopSequences,\n      temperature: request.config?.temperature,\n      top_k: topK,\n      top_p: topP,\n      tool_choice: request.config?.tool_choice,\n      metadata: request.config?.metadata,\n      tools: request.tools?.map((tool) => this.toAnthropicTool(tool)),\n      thinking: thinkingConfig,\n      ...restConfig,\n    };\n\n    return removeUndefinedProperties(body);\n  }\n\n  protected async createMessage(\n    body: MessageCreateParamsNonStreaming,\n    abortSignal: AbortSignal\n  ): Promise<Message> {\n    return await this.client.messages.create(body, { signal: abortSignal });\n  }\n\n  protected streamMessages(\n    body: MessageCreateParamsStreaming,\n    abortSignal: AbortSignal\n  ): MessageStream {\n    return this.client.messages.stream(body, { signal: abortSignal });\n  }\n\n  protected toGenkitResponse(message: Message): GenerateResponseData {\n    return this.fromAnthropicResponse(message);\n  }\n\n  protected toGenkitPart(event: MessageStreamEvent): Part | undefined {\n    return this.fromAnthropicContentBlockChunk(event);\n  }\n\n  protected fromAnthropicContentBlockChunk(\n    event: MessageStreamEvent\n  ): Part | undefined {\n    // Handle content_block_delta events\n    if (event.type === 'content_block_delta') {\n      const delta = event.delta;\n\n      if (delta.type === 'text_delta') {\n        return textDeltaToPart(delta);\n      }\n\n      if (delta.type === 'thinking_delta') {\n        return thinkingDeltaToPart(delta);\n      }\n\n      if (delta.type === 'citations_delta') {\n        return citationsDeltaToPart(delta);\n      }\n\n      // input_json_delta - ignore\n      // signature_delta - ignore\n      return undefined;\n    }\n\n    // Handle content_block_start events\n    if (event.type === 'content_block_start') {\n      const block = event.content_block;\n\n      switch (block.type) {\n        case 'text':\n          return textBlockToPart(block);\n\n        case 'tool_use':\n          return toolUseBlockToPart(block);\n\n        case 'thinking':\n          return thinkingBlockToPart(block);\n\n        case 'redacted_thinking':\n          return redactedThinkingBlockToPart(block);\n\n        case 'server_tool_use':\n          return serverToolUseBlockToPart(block);\n\n        case 'web_search_tool_result':\n          return webSearchToolResultBlockToPart(block);\n\n        default: {\n          const unknownType = (block as { type: string }).type;\n          logger.warn(\n            `Unexpected Anthropic content block type in stream: ${unknownType}. Returning undefined. Content block: ${JSON.stringify(block)}`\n          );\n          return undefined;\n        }\n      }\n    }\n\n    // Other event types (message_start, message_delta, etc.) - ignore\n    return undefined;\n  }\n\n  protected fromAnthropicContentBlock(contentBlock: ContentBlock): Part {\n    switch (contentBlock.type) {\n      case 'text':\n        return textBlockToPart(contentBlock);\n\n      case 'tool_use':\n        return toolUseBlockToPart(contentBlock);\n\n      case 'thinking':\n        return thinkingBlockToPart(contentBlock);\n\n      case 'redacted_thinking':\n        return redactedThinkingBlockToPart(contentBlock);\n\n      case 'server_tool_use':\n        return serverToolUseBlockToPart(contentBlock);\n\n      case 'web_search_tool_result':\n        return webSearchToolResultBlockToPart(contentBlock);\n\n      default: {\n        // Exhaustive check (uncomment when all types are handled):\n        // const _exhaustive: never = contentBlock;\n        // throw new Error(\n        //   `Unhandled block type: ${(_exhaustive as { type: string }).type}`\n        // );\n        const unknownType = (contentBlock as { type: string }).type;\n        logger.warn(\n          `Unexpected Anthropic content block type: ${unknownType}. Returning empty text. Content block: ${JSON.stringify(contentBlock)}`\n        );\n        return { text: '' };\n      }\n    }\n  }\n\n  protected fromAnthropicStopReason(\n    reason: Message['stop_reason']\n  ): ModelResponseData['finishReason'] {\n    switch (reason) {\n      case 'max_tokens':\n        return 'length';\n      case 'end_turn':\n      // fall through\n      case 'stop_sequence':\n      // fall through\n      case 'tool_use':\n        return 'stop';\n      case null:\n        return 'unknown';\n      default:\n        return 'other';\n    }\n  }\n\n  protected fromAnthropicResponse(response: Message): GenerateResponseData {\n    return {\n      candidates: [\n        {\n          index: 0,\n          finishReason: this.fromAnthropicStopReason(response.stop_reason),\n          message: {\n            role: 'model',\n            content: response.content.map((block) =>\n              this.fromAnthropicContentBlock(block)\n            ),\n          },\n        },\n      ],\n      usage: {\n  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