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 {}; | |
} | |
} | |