@agenite/anthropic/dist/index.cjs.map

Anthropic provider for Agenite

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Anthropic from '@anthropic-ai/sdk';\nimport {\n  convertStringToMessages,\n  iterateFromMethods,\n  BaseLLMProvider,\n} from '@agenite/llm';\nimport type {\n  BaseMessage,\n  GenerateResponse,\n  ContentBlock,\n  StopReason,\n  GenerateOptions,\n  PartialReturn,\n  IterateGenerateOptions,\n} from '@agenite/llm';\nimport type { AnthropicConfig } from './types';\n\n/**\n * Maps Anthropic stop reasons to our standard stop reasons\n */\nfunction mapStopReason(stopReason: string | null): StopReason | undefined {\n  if (!stopReason) return undefined;\n\n  const stopReasonMap: Record<string, StopReason> = {\n    end_turn: 'endTurn',\n    max_tokens: 'maxTokens',\n    stop_sequence: 'stopSequence',\n    tool_use: 'toolUse',\n  };\n\n  return stopReasonMap[stopReason] || undefined;\n}\n\n/**\n * Maps Anthropic content blocks to our standard content blocks\n */\nfunction mapContent(content: Anthropic.ContentBlockParam[]): ContentBlock[] {\n  return content.map((block): ContentBlock => {\n    switch (block.type) {\n      case 'text':\n        return { type: 'text', text: block.text };\n      case 'image':\n        return {\n          type: 'image',\n          source: block.source,\n        };\n      case 'tool_use':\n        return {\n          type: 'toolUse',\n          id: block.id,\n          name: block.name,\n          input: block.input,\n        };\n      default:\n        throw new Error(\n          `Unsupported content block type: ${JSON.stringify(block, null, 2)}`\n        );\n    }\n  });\n}\n\nfunction convertContentBlock(\n  block?: ContentBlock | string\n): Anthropic.ContentBlockParam | string {\n  if (!block) {\n    return '';\n  }\n\n  if (typeof block === 'string') {\n    return block;\n  }\n\n  switch (block.type) {\n    case 'text':\n      return { type: 'text', text: block.text };\n    case 'image':\n      return {\n        type: 'image',\n        source:\n          block.source.type === 'base64'\n            ? {\n                type: 'base64',\n                data: block.source.data,\n                media_type: block.source.media_type as\n                  | 'image/jpeg'\n                  | 'image/png'\n                  | 'image/gif'\n                  | 'image/webp',\n              }\n            : {\n                type: 'url',\n                url: block.source.url,\n              },\n      };\n    case 'toolUse':\n      return {\n        type: 'tool_use',\n        id: block.id,\n        name: block.name,\n        input: block.input,\n      };\n    case 'toolResult':\n      return {\n        type: 'tool_result',\n        tool_use_id: block.toolUseId,\n        content:\n          typeof block.content === 'string'\n            ? block.content\n            : block.content?.map(\n                (block) => convertContentBlock(block) as Anthropic.TextBlock\n              ) || '',\n        is_error: block.isError,\n      };\n    default:\n      console.log('block', block);\n\n      throw new Error(\n        `Unsupported content block type: ${JSON.stringify(block, null, 2)}`\n      );\n  }\n}\n\n/**\n * Converts our message format to Anthropic's format\n */\nfunction convertMessages(messages: BaseMessage[]): Anthropic.MessageParam[] {\n  return messages\n    .filter(\n      (\n        msg\n      ): msg is Omit<BaseMessage, 'role'> & { role: 'user' | 'assistant' } =>\n        msg.role !== 'system'\n    )\n    .map((msg) => ({\n      role: msg.role,\n      content: msg.content.map((block): Anthropic.ContentBlockParam => {\n        return convertContentBlock(block) as Anthropic.ContentBlockParam;\n      }),\n    }));\n}\n\nexport class AnthropicProvider extends BaseLLMProvider {\n  private client: Anthropic;\n  private model: string;\n  readonly name = 'Claude';\n  readonly version = '3';\n\n  constructor(config: AnthropicConfig) {\n    super();\n    this.client = new Anthropic({\n      apiKey: config.apiKey,\n      baseURL: config.baseURL,\n    });\n    this.model = config.model ?? 'claude-3-opus-20240229';\n  }\n\n  async generate(\n    input: string | BaseMessage[],\n    options?: Partial<GenerateOptions>\n  ): Promise<GenerateResponse> {\n    try {\n      const messageArray = convertStringToMessages(input);\n      const transformedMessages = convertMessages(messageArray);\n\n      const response = await this.client.messages.create({\n        model: this.model,\n        messages: transformedMessages,\n        system: options?.systemPrompt,\n        max_tokens: options?.maxTokens ?? 4096,\n        temperature: options?.temperature,\n        stop_sequences: options?.stopSequences,\n      });\n\n      return {\n        content: mapContent(response.content),\n        stopReason: mapStopReason(response.stop_reason),\n        tokenUsage: {\n          model: response.model,\n          inputTokens: response.usage.input_tokens,\n          outputTokens: response.usage.output_tokens,\n          inputCost: 0,\n          outputCost: 0,\n        },\n      };\n    } catch (error) {\n      console.error('Anthropic generation failed:', error);\n      throw error instanceof Error\n        ? new Error(`Anthropic generation failed: ${error.message}`)\n        : new Error('Anthropic generation failed with unknown error');\n    }\n  }\n\n  async *stream(\n    input: string | BaseMessage[],\n    options?: Partial<GenerateOptions>\n  ): AsyncGenerator<PartialReturn, GenerateResponse, unknown> {\n    try {\n      const messageArray = convertStringToMessages(input);\n      const transformedMessages = convertMessages(messageArray);\n\n      const messageStream = await this.client.messages.stream({\n        model: this.model,\n        messages: transformedMessages,\n        system: options?.systemPrompt,\n        max_tokens: options?.maxTokens ?? 4096,\n        temperature: options?.temperature,\n        stop_sequences: options?.stopSequences,\n      });\n\n      let buffer = '';\n      for await (const chunk of messageStream) {\n        if (\n          chunk.type === 'content_block_delta' &&\n          chunk.delta.type === 'text_delta'\n        ) {\n          buffer += chunk.delta.text;\n\n          if (buffer.length > 10) {\n            yield {\n              type: 'text',\n              text: buffer,\n            };\n            buffer = '';\n          }\n        }\n      }\n\n      if (buffer.length > 0) {\n        yield {\n          type: 'text',\n          text: buffer,\n        };\n      }\n\n      const finalMessage = await messageStream.finalMessage();\n      return {\n        content: mapContent(finalMessage.content),\n        stopReason: mapStopReason(finalMessage.stop_reason),\n        tokenUsage: {\n          model: finalMessage.model,\n          inputTokens: finalMessage.usage.input_tokens,\n          outputTokens: finalMessage.usage.output_tokens,\n          inputCost: 0,\n          outputCost: 0,\n        },\n      };\n    } catch (error) {\n      console.error('Anthropic generation failed:', error);\n      throw error instanceof Error\n        ? new Error(`Anthropic generation failed: ${error.message}`)\n        : new Error('Anthropic generation failed with unknown error');\n    }\n  }\n\n  async *iterate(\n    input: string | BaseMessage[],\n    options: IterateGenerateOptions\n  ): AsyncGenerator<PartialReturn, GenerateResponse, unknown> {\n    return yield* iterateFromMethods(this, input, options);\n  }\n}\n"]}