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| import type { MaxTokensCache } from "./index.js"; | |
| const FIREWORKS_API_URL = "https://api.fireworks.ai/inference/v1/models"; // Assumed | |
| export async function fetchFireworksData(apiKey: string | undefined): Promise<MaxTokensCache["fireworks-ai"]> { | |
| if (!apiKey) { | |
| console.warn("Fireworks AI API key not provided. Skipping Fireworks AI fetch."); | |
| return {}; | |
| } | |
| try { | |
| const response = await fetch(FIREWORKS_API_URL, { | |
| headers: { | |
| Authorization: `Bearer ${apiKey}`, | |
| }, | |
| }); | |
| if (!response.ok) { | |
| throw new Error(`Fireworks AI API request failed: ${response.status} ${response.statusText}`); | |
| } | |
| // eslint-disable-next-line @typescript-eslint/no-explicit-any | |
| const data: any = await response.json(); // Assuming OpenAI structure { data: [ { id: string, ... } ] } | |
| const modelsData: MaxTokensCache["fireworks-ai"] = {}; | |
| // Check if data and data.data exist and are an array | |
| if (data?.data && Array.isArray(data.data)) { | |
| for (const model of data.data) { | |
| // Check for common context length fields (OpenAI uses context_window) | |
| const contextLength = model.context_length ?? model.context_window ?? model.config?.max_tokens ?? null; | |
| // Fireworks uses model.id | |
| if (model.id && typeof contextLength === "number") { | |
| modelsData[model.id] = contextLength; | |
| } | |
| } | |
| } else { | |
| console.warn("Unexpected response structure from Fireworks AI API:", data); | |
| } | |
| return modelsData; | |
| } catch (error) { | |
| console.error("Error fetching Fireworks AI data:", error); | |
| return {}; // Return empty on error | |
| } | |
| } | |