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File size: 1,901 Bytes
fb4d8fe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | import { describe, expect, it, vi } from "vitest";
vi.mock("../../memory/index.js", () => {
return {
getMemorySearchManager: async () => {
return {
manager: {
search: async () => {
throw new Error("openai embeddings failed: 429 insufficient_quota");
},
readFile: async () => {
throw new Error("path required");
},
status: () => ({
files: 0,
chunks: 0,
dirty: true,
workspaceDir: "/tmp",
dbPath: "/tmp/index.sqlite",
provider: "openai",
model: "text-embedding-3-small",
requestedProvider: "openai",
}),
},
};
},
};
});
import { createMemoryGetTool, createMemorySearchTool } from "./memory-tool.js";
describe("memory tools", () => {
it("does not throw when memory_search fails (e.g. embeddings 429)", async () => {
const cfg = { agents: { list: [{ id: "main", default: true }] } };
const tool = createMemorySearchTool({ config: cfg });
expect(tool).not.toBeNull();
if (!tool) {
throw new Error("tool missing");
}
const result = await tool.execute("call_1", { query: "hello" });
expect(result.details).toEqual({
results: [],
disabled: true,
error: "openai embeddings failed: 429 insufficient_quota",
});
});
it("does not throw when memory_get fails", async () => {
const cfg = { agents: { list: [{ id: "main", default: true }] } };
const tool = createMemoryGetTool({ config: cfg });
expect(tool).not.toBeNull();
if (!tool) {
throw new Error("tool missing");
}
const result = await tool.execute("call_2", { path: "memory/NOPE.md" });
expect(result.details).toEqual({
path: "memory/NOPE.md",
text: "",
disabled: true,
error: "path required",
});
});
});
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