{"version":3,"sources":["../src/helpers/browser.ts","../src/models/anthropic.ts","../src/models/openai.ts","../src/models/leonardo-ai.ts","../src/models/factory.ts","../src/anton-sdk.ts"],"sourcesContent":["import axios from 'axios';\n\nexport const setupAxios = () => {\n // Any browser-specific axios config\n axios.defaults.withCredentials = true;\n // Add more browser-specific setup as needed\n};\n","import axios from \"axios\";\nimport type { AxiosInstance } from \"axios\";\nimport { isBrowser, throwErrorIfBrowser } from '@mrck-labs/utils';\nimport {\n AnthropicChatArgs,\n AnthropicCompletionResponse, AnthropicModels,\n ChatResponse,\n ENDPOINTS, ModelType,\n ModerationResponse,\n AIModelInterface, AnthropicModelInterface\n} from '@mrck-labs/api-interface';\n\nexport class AnthropicModel implements AnthropicModelInterface {\n private api: AxiosInstance;\n private baseUrl = ENDPOINTS.anthropic.baseUrl;\n private systemMessage: string = \"Your name is Anton. Be respectful.\";\n private readonly defaultModel: AnthropicModels = 'claude-3-5-sonnet-20241022'\n\n\n constructor(private apiKey: string, defaultModel: AnthropicModels = 'claude-3-5-sonnet-20241022') {\n console.log(\"whatever\")\n\n if (isBrowser) {\n throwErrorIfBrowser(\"AnthropicModel\");\n }\n\n this.defaultModel = defaultModel\n\n this.api = axios.create({\n baseURL: this.baseUrl,\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": this.apiKey,\n \"anthropic-version\": \"2023-06-01\",\n },\n });\n }\n\n public moderation(message: string): Promise {\n throw new Error(\"Method not implemented.\");\n }\n\n public setSystemMessage(message: string) {\n this.systemMessage = message;\n }\n\n public async chat(args: AnthropicChatArgs): Promise {\n const { messages, model = this.defaultModel, stream = false } = args;\n try {\n const response = await this.api.post(ENDPOINTS.anthropic.v1.completions, {\n system: this.systemMessage,\n model,\n max_tokens: 1024,\n messages,\n stream,\n }, {\n responseType: stream ? 'stream' : 'json'\n });\n\n\n if (stream) {\n return response.data as unknown as ReadableStream;\n }\n\n const role = response.data.role;\n const content = response.data.content[0].text;\n\n return [{ role, content }];\n } catch (error) {\n console.error(\"Anthropic API error:\", error);\n throw error;\n }\n }\n\n public debug() {\n console.log(\"debugging\")\n return {\n company: \"anthropic\",\n baseUrl: this.baseUrl,\n model: this.defaultModel,\n systemMessage: this.systemMessage,\n api: this.api,\n }\n }\n}\n","import axios from \"axios\";\nimport OpenAI, {toFile} from 'openai'\nimport fs from 'fs';\nimport { Readable } from 'stream';\nimport type { AxiosInstance } from \"axios\";\nimport { isBrowser, throwErrorIfBrowser } from '@mrck-labs/utils';\nimport {\n ChatArgs,\n CreateImageResponse,\n ENDPOINTS, LeonardoAICreateImageParams, LeonardoAICreateImageResponse,\n ModerationResponse,\n OpenAICompletionResponse, OpenAICreateImageParams, OpenAIModelInterface, OpenAIModels\n} from '@mrck-labs/api-interface';\nimport {ModelsListResponse} from \"@mrck-labs/api-interface/src\";\nimport {LeonardoAIModel} from \"./leonardo-ai\";\nimport FormData from 'form-data';\nimport type { AudioResponseFormat } from \"openai/resources/index\";\n\nexport class OpenAIModel implements OpenAIModelInterface {\n private api: AxiosInstance;\n private openai: OpenAI;\n private baseUrl = ENDPOINTS.openai.baseUrl;\n private systemMessage: string = \"Your name is Anton. Be respectful.\"\n private readonly defaultModel: OpenAIModels = 'gpt-4o'\n private supportModels: {\n leonardoAI: LeonardoAIModel\n }\n\n constructor(private apiKey: string, defaultModel: OpenAIModels, supportModelsApiKeys?: {leonardoAI?: string}) {\n if (isBrowser) {\n throwErrorIfBrowser(\"OpenAIModel\");\n }\n\n this.defaultModel = defaultModel\n\n this.api = axios.create({\n baseURL: this.baseUrl,\n headers: {\n \"Content-Type\": \"application/json\",\n \"Authorization\": `Bearer ${this.apiKey}`,\n },\n });\n\n this.openai = new OpenAI({\n apiKey: this.apiKey,\n });\n\n console.log(\"if support models passed in\", supportModelsApiKeys)\n\n if(supportModelsApiKeys) {\n this.supportModels = {\n leonardoAI: new LeonardoAIModel(supportModelsApiKeys.leonardoAI)\n }\n }\n }\n\n\n setSystemMessage(message: string): void {\n this.systemMessage = message;\n }\n\n async moderation(message: string): Promise {\n try {\n const response = await this.api.post(ENDPOINTS.openai.v1.moderations, {\n input: message\n });\n\n return response.data\n } catch (error) {\n console.error(\"OpenAI API error:\", error);\n throw error;\n }\n }\n\n\n async chat(args: ChatArgs): Promise {\n const {messages, model = this.defaultModel, stream = false} = args;\n try {\n const response = await this.api.post(ENDPOINTS.openai.v1.completions, {\n model,\n messages: [{role: 'system', content: this.systemMessage}, ...messages],\n stream,\n }, {\n responseType: stream ? 'stream' : 'json'\n })\n\n if(stream) {\n return response.data as unknown as ReadableStream;\n }\n\n\n const role = response.data.choices[0].message.role;\n const content = response.data.choices[0].message.content;\n\n return [{role, content}]\n } catch (error) {\n console.error(\"OpenAI API error:\", error);\n throw error;\n }\n }\n\n public async modelsList(): Promise {\n try {\n const response = await this.api.get(ENDPOINTS.openai.v1.modelsList);\n return response.data;\n } catch (error) {\n console.error(\"OpenAI API error:\", error);\n throw error;\n }\n }\n\n async createImage(args: OpenAICreateImageParams): Promise {\n try {\n const response = await this.api.post(ENDPOINTS.openai.v1.imageGenerations, {\n ...args\n });\n return response.data;\n } catch (error) {\n console.error(\"OpenAI API error:\", error);\n throw error;\n }\n }\n\n async createImageWithLeonardo(args: LeonardoAICreateImageParams): Promise {\n try {\n const response = await this.supportModels.leonardoAI.createImage({...args}) as {\n sdGenerationJob: {\n generationId: string,\n apiCreditCost: number\n }\n }\n\n const imageUrl = await this.supportModels.leonardoAI.getGeneratedImageUrl(response.sdGenerationJob.generationId)\n\n return {\n imageUrl,\n apiCreditCost: response.sdGenerationJob.apiCreditCost\n };\n } catch (error) {\n console.error(\"OpenAI API / LeonardoAI API error:\", error);\n throw error;\n }\n }\n\n async transcribeAudio(pathToFile: string, options: {language: string, responseFormat: AudioResponseFormat} = {language: \"en\", responseFormat: \"json\"}) {\n try {\n // Transcribe audio using OpenAI SDK\n const response = await this.openai.audio.transcriptions.create({\n file: fs.createReadStream(pathToFile),\n model: \"whisper-1\",\n language: options.language,\n response_format: options.responseFormat\n })\n\n return response\n } catch (error) {\n console.error(\"Error transcribing audio:\", error);\n throw error;\n }\n }\n\n public debug() {\n console.log(\"debugging\")\n return {\n company: \"openai\",\n baseUrl: this.baseUrl,\n model: this.defaultModel,\n systemMessage: this.systemMessage,\n api: this.api,\n }\n }\n}\n","import axios from \"axios\";\nimport type { AxiosInstance } from \"axios\";\nimport { isBrowser, throwErrorIfBrowser } from '@mrck-labs/utils';\nimport {\n ENDPOINTS, LeonardoAIInterface,\n LeonardoAICreateImageResponse,\n LeonardoAICreateImageParams\n} from '@mrck-labs/api-interface';\n\nexport class LeonardoAIModel implements LeonardoAIInterface {\n private api: AxiosInstance;\n private baseUrl = ENDPOINTS.leonardoAI.baseUrl;\n\n constructor(private apiKey: string) {\n if (isBrowser) {\n throwErrorIfBrowser(\"LeonardoAI\");\n }\n\n console.log(\"This is apiKey\", this.apiKey)\n\n this.api = axios.create({\n baseURL: this.baseUrl,\n headers: {\n \"Content-Type\": \"application/json\",\n \"Authorization\": `Bearer ${this.apiKey}`,\n },\n });\n }\n\n async createImage(args: LeonardoAICreateImageParams): Promise {\n try {\n const response = await this.api.post(ENDPOINTS.leonardoAI.v1.imageGenerations, {\n ...args\n });\n return response.data;\n } catch (error) {\n console.error(\"LeonardoAI API error:\", error);\n throw error;\n }\n }\n\n async getGeneratedImageUrl(generationId: string): Promise {\n const maxAttempts = 30; // 30 seconds timeout\n let attempts = 0;\n\n while (attempts < maxAttempts) {\n const response = await this.api.get<{\n generations_by_pk: {\n status: string;\n generated_images: Array<{\n url: string;\n }>;\n }\n }>(ENDPOINTS.leonardoAI.v1.imageGenerations + `/${generationId}`);\n\n if (response.data.generations_by_pk.status === 'COMPLETE') {\n return response.data.generations_by_pk.generated_images[0].url;\n }\n\n if (response.data.generations_by_pk.status === 'FAILED') {\n throw new Error('Image generation failed');\n }\n console.log(\"waiting for image generation\")\n\n attempts++;\n await new Promise(resolve => setTimeout(resolve, 1000));\n }\n \n throw new Error('Timeout waiting for image generation');\n }\n}\n\n\n// type GetCurrentImageGenerationResponse = {\n// \"generations_by_pk\": {\n// \"generated_images\": {\n// \"url\":string,\n// \"nsfw\": boolean,\n// \"id\": string,\n// \"likeCount\": number,\n// \"motionMP4URL\": null,\n// \"generated_image_variation_generics\": []\n// }[],\n// \"modelId\": \"b24e16ff-06e3-43eb-8d33-4416c2d75876\",\n// \"motion\": null,\n// \"motionModel\": null,\n// \"motionStrength\": null,\n// \"prompt\": \"A majestic cat in the snow\",\n// \"negativePrompt\": \"\",\n// \"imageHeight\": 768,\n// \"imageToVideo\": null,\n// \"imageWidth\": 1024,\n// \"inferenceSteps\": 15,\n// \"seed\": 8827082104,\n// \"ultra\": null,\n// \"public\": false,\n// \"scheduler\": \"EULER_DISCRETE\",\n// \"sdVersion\": \"SDXL_LIGHTNING\",\n// \"status\": \"COMPLETE\",\n// \"presetStyle\": \"DYNAMIC\",\n// \"initStrength\": null,\n// \"guidanceScale\": null,\n// \"id\": \"5d02fbb1-87a4-4f48-91cb-6971a5506011\",\n// \"createdAt\": \"2024-11-19T10:42:59.533\",\n// \"promptMagic\": false,\n// \"promptMagicVersion\": null,\n// \"promptMagicStrength\": null,\n// \"photoReal\": false,\n// \"photoRealStrength\": null,\n// \"fantasyAvatar\": null,\n// \"prompt_moderations\": [\n// {\n// \"moderationClassification\": []\n// }\n// ],\n// \"generation_elements\": []\n// }\n// }\n","import { AnthropicModel } from \"./anthropic\";\nimport { OpenAIModel } from './openai';\nimport {OpenAIFactoryConfig, OpenAIModelInterface, AnthropicFactoryConfig, AnthropicModelInterface} from \"@mrck-labs/api-interface\";\n\n\nexport class AntonSDK {\n static create(config: AnthropicFactoryConfig): AnthropicModelInterface;\n static create(config: OpenAIFactoryConfig): OpenAIModelInterface;\n static create(config: AnthropicFactoryConfig | OpenAIFactoryConfig) {\n console.log(\"creating anton!\");\n const {type, apiKey, model} = config;\n\n switch (type) {\n case \"anthropic\":\n return new AnthropicModel(apiKey, model ? model : 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