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| 1 | +import { z } from 'zod'; |
| 2 | +import { createOpenAICompatible } from '@ai-sdk/openai-compatible'; |
| 3 | +import { generateText, streamText, generateObject } from 'ai'; |
| 4 | +import type { AIProvider } from './interfaces'; |
| 5 | +import { basetenConfig } from '../config/services'; |
| 6 | + |
| 7 | +const normalizedBase = (basetenConfig.baseURL || 'https://inference.baseten.co/v1').replace(/\/$/, ''); |
| 8 | +const BASETEN_BASE_URL = normalizedBase; |
| 9 | + |
| 10 | +const baseten = createOpenAICompatible({ |
| 11 | + name: 'baseten', |
| 12 | + baseURL: `${BASETEN_BASE_URL}`, |
| 13 | + headers: { |
| 14 | + 'Authorization': `Api-Key ${basetenConfig.apiKey}`, |
| 15 | + }, |
| 16 | +}); |
| 17 | + |
| 18 | +class BasetenProvider implements AIProvider { |
| 19 | + name = 'baseten' as const; |
| 20 | + |
| 21 | + async generateChatStructuredResponse( |
| 22 | + prompt: string, |
| 23 | + schema: z.ZodType, |
| 24 | + model: string = basetenConfig.chatModel, |
| 25 | + temperature: number = 0 |
| 26 | + ): Promise<any> { |
| 27 | + try { |
| 28 | + const modelToUse = model || basetenConfig.chatModel; |
| 29 | + |
| 30 | + const result = await generateObject({ |
| 31 | + model: baseten(modelToUse), |
| 32 | + schema, |
| 33 | + prompt, |
| 34 | + temperature, |
| 35 | + }); |
| 36 | + |
| 37 | + return { |
| 38 | + object: result.object, |
| 39 | + finishReason: result.finishReason, |
| 40 | + usage: { |
| 41 | + promptTokens: result.usage?.promptTokens || 0, |
| 42 | + completionTokens: result.usage?.completionTokens || 0, |
| 43 | + totalTokens: result.usage?.totalTokens || 0, |
| 44 | + }, |
| 45 | + warnings: result.warnings, |
| 46 | + }; |
| 47 | + } catch (error) { |
| 48 | + throw new Error(`Baseten structured response error: ${error}`); |
| 49 | + } |
| 50 | + } |
| 51 | + |
| 52 | + |
| 53 | + async generateChatTextResponse( |
| 54 | + prompt: string, |
| 55 | + model?: string, |
| 56 | + temperature: number = 0 |
| 57 | + ): Promise<any> { |
| 58 | + try { |
| 59 | + const modelToUse = baseten(model || basetenConfig.model); |
| 60 | + |
| 61 | + const result = await generateText({ |
| 62 | + model: modelToUse, |
| 63 | + prompt, |
| 64 | + temperature, |
| 65 | + }); |
| 66 | + |
| 67 | + return result; |
| 68 | + } catch (error) { |
| 69 | + console.error('Baseten text response error: ', error); |
| 70 | + throw new Error(`Baseten text response error: ${error}`); |
| 71 | + } |
| 72 | + } |
| 73 | + |
| 74 | + async generateChatTextStreamResponse( |
| 75 | + prompt: string, |
| 76 | + model?: string, |
| 77 | + temperature: number = 0 |
| 78 | + ): Promise<any> { |
| 79 | + try { |
| 80 | + const modelToUse = baseten(model || basetenConfig.model); |
| 81 | + |
| 82 | + const result = await streamText({ |
| 83 | + model: modelToUse, |
| 84 | + prompt, |
| 85 | + temperature, |
| 86 | + }); |
| 87 | + |
| 88 | + return result; |
| 89 | + } catch (error) { |
| 90 | + console.error('Baseten streaming response error: ', error); |
| 91 | + throw new Error(`Baseten streaming response error: ${error}`); |
| 92 | + } |
| 93 | + } |
| 94 | + |
| 95 | + async getAvailableModels(): Promise<string[]> { |
| 96 | + return ['openai/gpt-oss-120b']; |
| 97 | + } |
| 98 | +} |
| 99 | + |
| 100 | +const provider = new BasetenProvider(); |
| 101 | + |
| 102 | +export default provider; |
| 103 | +export { BASETEN_BASE_URL }; |
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