Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
| import type { MaxTokensCache } from "./index.js"; | |
| const SAMBANOVA_API_URL = "https://api.sambanova.ai/v1/models"; | |
| interface SambanovaModel { | |
| id: string; | |
| object: string; | |
| context_length: number; | |
| max_completion_tokens?: number; | |
| pricing?: { | |
| prompt: string; | |
| completion: string; | |
| }; | |
| } | |
| interface SambanovaResponse { | |
| data: SambanovaModel[]; | |
| object: string; | |
| } | |
| export async function fetchSambanovaData(apiKey: string | undefined): Promise<MaxTokensCache["sambanova"]> { | |
| if (!apiKey) { | |
| console.warn("SambaNova API key not provided. Skipping SambaNova fetch."); | |
| return {}; | |
| } | |
| try { | |
| const response = await fetch(SAMBANOVA_API_URL, { | |
| headers: { | |
| Authorization: `Bearer ${apiKey}`, | |
| }, | |
| }); | |
| if (!response.ok) { | |
| throw new Error(`SambaNova API request failed: ${response.status} ${response.statusText}`); | |
| } | |
| const data: SambanovaResponse = await response.json(); | |
| const modelsData: MaxTokensCache["sambanova"] = {}; | |
| if (data?.data && Array.isArray(data.data)) { | |
| for (const model of data.data) { | |
| if (model.id && typeof model.context_length === "number") { | |
| modelsData[model.id] = model.context_length; | |
| } | |
| } | |
| } else { | |
| console.warn("Unexpected response structure from SambaNova API:", data); | |
| } | |
| return modelsData; | |
| } catch (error) { | |
| console.error("Error fetching SambaNova data:", error); | |
| return {}; | |
| } | |
| } | |