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

Genkit AI framework plugin for Anthropic APIs.

{"version":3,"sources":["../../src/runner/beta.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 { BetaMessageStream } from '@anthropic-ai/sdk/lib/BetaMessageStream.js';\nimport type {\n  BetaContentBlock,\n  BetaImageBlockParam,\n  BetaMessage,\n  MessageCreateParams as BetaMessageCreateParams,\n  MessageCreateParamsNonStreaming as BetaMessageCreateParamsNonStreaming,\n  MessageCreateParamsStreaming as BetaMessageCreateParamsStreaming,\n  BetaMessageParam,\n  BetaRawMessageStreamEvent,\n  BetaRedactedThinkingBlockParam,\n  BetaRequestDocumentBlock,\n  BetaStopReason,\n  BetaTextBlockParam,\n  BetaThinkingBlockParam,\n  BetaTool,\n  BetaToolResultBlockParam,\n  BetaToolUseBlockParam,\n} from '@anthropic-ai/sdk/resources/beta/messages';\n\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  betaServerToolUseBlockToPart,\n  toBetaDocumentBlock,\n  unsupportedServerToolError,\n} from './converters/beta.mjs';\nimport {\n  citationsDeltaToPart,\n  redactedThinkingBlockToPart,\n  textBlockToPart,\n  textDeltaToPart,\n  thinkingBlockToPart,\n  thinkingDeltaToPart,\n  toolUseBlockToPart,\n  webSearchToolResultBlockToPart,\n} from './converters/shared.mjs';\nimport { RunnerTypes } from './types.mjs';\n\nconst BETA_APIS = [\n  // 'message-batches-2024-09-24',\n  // 'prompt-caching-2024-07-31',\n  // 'computer-use-2025-01-24',\n  // 'pdfs-2024-09-25',\n  // 'token-counting-2024-11-01',\n  // 'token-efficient-tools-2025-02-19',\n  // 'output-128k-2025-02-19',\n  'files-api-2025-04-14',\n  // 'mcp-client-2025-04-04',\n  // 'dev-full-thinking-2025-05-14',\n  // 'interleaved-thinking-2025-05-14',\n  // 'code-execution-2025-05-22',\n  // 'extended-cache-ttl-2025-04-11',\n  // 'context-1m-2025-08-07',\n  // 'context-management-2025-06-27',\n  // 'model-context-window-exceeded-2025-08-26',\n  // 'skills-2025-10-02',\n  'effort-2025-11-24',\n  // 'advanced-tool-use-2025-11-20',\n  'structured-outputs-2025-11-13',\n  'task-budgets-2026-03-13',\n];\n\n/**\n * Transforms a JSON schema to be compatible with Anthropic's structured output requirements.\n * Anthropic requires `additionalProperties: false` on all object types.\n * @see https://docs.anthropic.com/en/docs/build-with-claude/structured-outputs#json-schema-limitations\n */\nfunction toAnthropicSchema(\n  schema: Record<string, unknown>\n): Record<string, unknown> {\n  const out = structuredClone(schema);\n\n  // Remove $schema if present\n  delete out.$schema;\n\n  // Add additionalProperties: false to objects\n  if (out.type === 'object') {\n    out.additionalProperties = false;\n  }\n\n  // Recursively process nested objects\n  for (const key in out) {\n    if (typeof out[key] === 'object' && out[key] !== null) {\n      out[key] = toAnthropicSchema(out[key] as Record<string, unknown>);\n    }\n  }\n\n  return out;\n}\n\ninterface BetaRunnerTypes extends RunnerTypes {\n  Message: BetaMessage;\n  Stream: BetaMessageStream;\n  StreamEvent: BetaRawMessageStreamEvent;\n  RequestBody: BetaMessageCreateParamsNonStreaming;\n  StreamingRequestBody: BetaMessageCreateParamsStreaming;\n  Tool: BetaTool;\n  MessageParam: BetaMessageParam;\n  ToolResponseContent: BetaTextBlockParam | BetaImageBlockParam;\n  ContentBlockParam:\n    | BetaTextBlockParam\n    | BetaImageBlockParam\n    | BetaRequestDocumentBlock\n    | BetaToolUseBlockParam\n    | BetaToolResultBlockParam\n    | BetaThinkingBlockParam\n    | BetaRedactedThinkingBlockParam;\n}\n\n/**\n * Runner for the Anthropic Beta API.\n */\nexport class BetaRunner extends BaseRunner<BetaRunnerTypes> {\n  constructor(params: ClaudeRunnerParams) {\n    super(params);\n  }\n\n  /**\n   * Map a Genkit Part -> Anthropic beta content block param.\n   * Supports: text, images (base64 data URLs), PDFs (document source),\n   * tool_use (client tool request), tool_result (client tool response).\n   */\n  protected toAnthropicMessageContent(\n    part: Part\n  ):\n    | BetaTextBlockParam\n    | BetaImageBlockParam\n    | BetaRequestDocumentBlock\n    | BetaToolUseBlockParam\n    | BetaToolResultBlockParam\n    | BetaThinkingBlockParam\n    | BetaRedactedThinkingBlockParam {\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    // Text\n    if (part.text) {\n      return { type: 'text', text: part.text };\n    }\n\n    // Custom document (for citations support)\n    if (part.custom?.anthropicDocument) {\n      return toBetaDocumentBlock(\n        part.custom.anthropicDocument as AnthropicDocumentOptions\n      );\n    }\n\n    // Media\n    if (part.media) {\n      if (part.media.contentType === 'anthropic/file') {\n        return {\n          type: 'document',\n          source: {\n            type: 'file',\n            file_id: part.media.url,\n          },\n        };\n      }\n\n      if (part.media.contentType === 'anthropic/image') {\n        return {\n          type: 'image',\n          source: {\n            type: 'file',\n            file_id: part.media.url,\n          },\n        };\n      }\n\n      if (part.media.contentType === 'application/pdf') {\n        return {\n          type: 'document',\n          source: this.toPdfDocumentSource(part.media),\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        };\n      }\n      return {\n        type: 'image',\n        source: {\n          type: 'url',\n          url: source.url,\n        },\n      };\n    }\n\n    // Tool request (client tool use)\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      };\n    }\n\n    // Tool response (client tool result)\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      const betaResult: BetaToolResultBlockParam = {\n        type: 'tool_result',\n        tool_use_id: part.toolResponse.ref,\n        content: [this.toAnthropicToolResponseContent(part)],\n      };\n      return betaResult;\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 createMessage(\n    body: BetaMessageCreateParamsNonStreaming,\n    abortSignal: AbortSignal\n  ): Promise<BetaMessage> {\n    return this.client.beta.messages.create(body, { signal: abortSignal });\n  }\n\n  protected streamMessages(\n    body: BetaMessageCreateParamsStreaming,\n    abortSignal: AbortSignal\n  ): BetaMessageStream {\n    return this.client.beta.messages.stream(body, { signal: abortSignal });\n  }\n\n  /**\n   * Build non-streaming request body.\n   */\n  protected toAnthropicRequestBody(\n    modelName: string,\n    request: GenerateRequest<typeof AnthropicConfigSchema>\n  ): BetaMessageCreateParamsNonStreaming {\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 BetaMessageCreateParams['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 = {\n      model: mappedModelName,\n      max_tokens: maxOutputTokens ?? this.DEFAULT_MAX_OUTPUT_TOKENS,\n      messages,\n      system: system as BetaTextBlockParam[],\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      output_format: this.isStructuredOutputEnabled(request)\n        ? {\n            type: 'json_schema',\n            schema: toAnthropicSchema(request.output!.schema!),\n          }\n        : undefined,\n      betas: Array.isArray(request.config?.betas)\n        ? [...(request.config?.betas ?? [])]\n        : [...BETA_APIS],\n      ...restConfig,\n    } as BetaMessageCreateParamsNonStreaming;\n\n    return removeUndefinedProperties(body);\n  }\n\n  /**\n   * Build streaming request body.\n   */\n  protected toAnthropicStreamingRequestBody(\n    modelName: string,\n    request: GenerateRequest<typeof AnthropicConfigSchema>\n  ): BetaMessageCreateParamsStreaming {\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 BetaMessageCreateParams['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 = {\n      model: mappedModelName,\n      max_tokens: maxOutputTokens ?? this.DEFAULT_MAX_OUTPUT_TOKENS,\n      messages,\n      stream: true,\n      system: system as BetaTextBlockParam[],\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      output_format: this.isStructuredOutputEnabled(request)\n        ? {\n            type: 'json_schema',\n            schema: toAnthropicSchema(request.output!.schema!),\n          }\n        : undefined,\n      betas: Array.isArray(request.config?.betas)\n        ? [...(request.config?.betas ?? [])]\n        : [...BETA_APIS],\n      ...restConfig,\n    } as BetaMessageCreateParamsStreaming;\n\n    return removeUndefinedProperties(body);\n  }\n\n  protected toGenkitResponse(message: BetaMessage): GenerateResponseData {\n    return {\n      candidates: [\n        {\n          index: 0,\n          finishReason: this.fromBetaStopReason(message.stop_reason),\n          message: {\n            role: 'model',\n            content: message.content.map((block) =>\n              this.fromBetaContentBlock(block)\n            ),\n          },\n        },\n      ],\n      usage: {\n        inputTokens: message.usage.input_tokens,\n        outputTokens: message.usage.output_tokens,\n      },\n      custom: message,\n      raw: message,\n    };\n  }\n\n  protected toGenkitPart(event: BetaRawMessageStreamEvent): Part | undefined {\n    if (event.type === 'content_block_start') {\n      return this.fromBetaContentBlock(event.content_block);\n    }\n    if (event.type === 'content_block_delta') {\n      if (event.delta.type === 'text_delta') {\n        return textDeltaToPart(event.delta);\n      }\n      if (event.delta.type === 'thinking_delta') {\n        return thinkingDeltaToPart(event.delta);\n      }\n      if (event.delta.type === 'citations_delta') {\n        return citationsDeltaToPart(event.delta);\n      }\n      // input_json_delta - ignore\n      // signature_delta - ignore\n      return undefined;\n    }\n    return undefined;\n  }\n\n  private fromBetaContentBlock(contentBlock: BetaContentBlock): Part {\n    switch (contentBlock.type) {\n      case 'text':\n        return textBlockToPart(contentBlock);\n\n      case 'tool_use':\n        // Beta API may have undefined name, fallback to 'unknown_tool'\n        return toolUseBlockToPart({\n          id: contentBlock.id,\n          name: contentBlock.name ?? 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Returning empty text. Content block: ${JSON.stringify(contentBlock)}`\n        );\n        return { text: '' };\n      }\n    }\n  }\n\n  private fromBetaStopReason(\n    reason: BetaStopReason | null\n  ): ModelResponseData['finishReason'] {\n    switch (reason) {\n      case 'max_tokens':\n      case 'model_context_window_exceeded':\n        return 'length';\n      case 'end_turn':\n      case 'stop_sequence':\n      case 'tool_use':\n      case 'pause_turn':\n        return 'stop';\n      case null:\n        return 'unknown';\n      case 'refusal':\n        return 'other';\n      default:\n        return 'other';\n    }\n  }\n\n  private isStructuredOutputEnabled(\n    request: GenerateRequest<typeof AnthropicConfigSchema>\n  ): boolean {\n    return !!(\n      request.output?.schema &&\n      request.output.constrained &&\n      request.output.format === 'json'\n    );\n  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