Files
clawdbot/src/agents/models-config.fills-missing-provider-apikey-from-env-var.test.ts
Peter Steinberger c379191f80 chore: migrate to oxlint and oxfmt
Co-authored-by: Christoph Nakazawa <christoph.pojer@gmail.com>
2026-01-14 15:02:19 +00:00

143 lines
4.6 KiB
TypeScript

import fs from "node:fs/promises";
import path from "node:path";
import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
import { withTempHome as withTempHomeBase } from "../../test/helpers/temp-home.js";
import type { ClawdbotConfig } from "../config/config.js";
async function withTempHome<T>(fn: (home: string) => Promise<T>): Promise<T> {
return withTempHomeBase(fn, { prefix: "clawdbot-models-" });
}
const MODELS_CONFIG: ClawdbotConfig = {
models: {
providers: {
"custom-proxy": {
baseUrl: "http://localhost:4000/v1",
apiKey: "TEST_KEY",
api: "openai-completions",
models: [
{
id: "llama-3.1-8b",
name: "Llama 3.1 8B (Proxy)",
api: "openai-completions",
reasoning: false,
input: ["text"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 128000,
maxTokens: 32000,
},
],
},
},
},
};
describe("models-config", () => {
let previousHome: string | undefined;
beforeEach(() => {
previousHome = process.env.HOME;
});
afterEach(() => {
process.env.HOME = previousHome;
});
it("fills missing provider.apiKey from env var name when models exist", async () => {
await withTempHome(async () => {
vi.resetModules();
const prevKey = process.env.MINIMAX_API_KEY;
process.env.MINIMAX_API_KEY = "sk-minimax-test";
try {
const { ensureClawdbotModelsJson } = await import("./models-config.js");
const { resolveClawdbotAgentDir } = await import("./agent-paths.js");
const cfg: ClawdbotConfig = {
models: {
providers: {
minimax: {
baseUrl: "https://api.minimax.io/anthropic",
api: "anthropic-messages",
models: [
{
id: "MiniMax-M2.1",
name: "MiniMax M2.1",
reasoning: false,
input: ["text"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 200000,
maxTokens: 8192,
},
],
},
},
},
};
await ensureClawdbotModelsJson(cfg);
const modelPath = path.join(resolveClawdbotAgentDir(), "models.json");
const raw = await fs.readFile(modelPath, "utf8");
const parsed = JSON.parse(raw) as {
providers: Record<string, { apiKey?: string; models?: Array<{ id: string }> }>;
};
expect(parsed.providers.minimax?.apiKey).toBe("MINIMAX_API_KEY");
const ids = parsed.providers.minimax?.models?.map((model) => model.id);
expect(ids).toContain("MiniMax-VL-01");
} finally {
if (prevKey === undefined) delete process.env.MINIMAX_API_KEY;
else process.env.MINIMAX_API_KEY = prevKey;
}
});
});
it("merges providers by default", async () => {
await withTempHome(async () => {
vi.resetModules();
const { ensureClawdbotModelsJson } = await import("./models-config.js");
const { resolveClawdbotAgentDir } = await import("./agent-paths.js");
const agentDir = resolveClawdbotAgentDir();
await fs.mkdir(agentDir, { recursive: true });
await fs.writeFile(
path.join(agentDir, "models.json"),
JSON.stringify(
{
providers: {
existing: {
baseUrl: "http://localhost:1234/v1",
apiKey: "EXISTING_KEY",
api: "openai-completions",
models: [
{
id: "existing-model",
name: "Existing",
api: "openai-completions",
reasoning: false,
input: ["text"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 8192,
maxTokens: 2048,
},
],
},
},
},
null,
2,
),
"utf8",
);
await ensureClawdbotModelsJson(MODELS_CONFIG);
const raw = await fs.readFile(path.join(agentDir, "models.json"), "utf8");
const parsed = JSON.parse(raw) as {
providers: Record<string, { baseUrl?: string }>;
};
expect(parsed.providers.existing?.baseUrl).toBe("http://localhost:1234/v1");
expect(parsed.providers["custom-proxy"]?.baseUrl).toBe("http://localhost:4000/v1");
});
});
});