Mintplex-Labs/anything-llm · error

No Cerebras API key was set.

Error message

No Cerebras API key was set.

What it means

Constructor guard in CerebrasLLM: the CEREBRAS_API_KEY environment variable is unset, so the OpenAI-compatible client cannot authenticate to Cerebras and provider instantiation stops before any request is attempted.

Solutions

1. Set the Cerebras API key in provider settings or env.

When it happens

Trigger: Thrown at provider construction when no Cerebras API key is configured.

Common situations: Cerebras selected as LLM provider without an API key.

AI-assisted analysis of Mintplex-Labs/anything-llm@a145d4d87d (2026-08-18). Data as JSON: /api/errors/e27ccb6843576b3f. Report an issue: GitHub.

Appendix: source

Thrown at server/utils/AiProviders/cerebras/index.js:17

const { NativeEmbedder } = require("../../EmbeddingEngines/native");
const {
  LLMPerformanceMonitor,
} = require("../../helpers/chat/LLMPerformanceMonitor");
const {
  handleDefaultStreamResponseV2,
  formatChatHistory,
} = require("../../helpers/chat/responses");
const { MODEL_MAP } = require("../modelMap");

class CerebrasLLM {
  static modelContextWindows = {};

  constructor(embedder = null, modelPreference = null) {
    const { OpenAI: OpenAIApi } = require("openai");
    if (!process.env.CEREBRAS_API_KEY)
      throw new Error("No Cerebras API key was set.");

    this.className = "CerebrasLLM";
    this.openai = new OpenAIApi({
      baseURL: "https://api.cerebras.ai/v1",
      apiKey: process.env.CEREBRAS_API_KEY,
    });
    this.model =
      modelPreference || process.env.CEREBRAS_MODEL_PREF || "gpt-oss-120b";
    // Lazy load the limits to avoid blocking the main thread on cacheContextWindows
    this.limits = null;

    this.embedder = embedder ?? new NativeEmbedder();
    this.defaultTemp = 0;

    CerebrasLLM.cacheContextWindows(true);
    this.#log(`Initialized with model: ${this.model}`);
  }

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