import { describe, expect, it } from "vitest";
import type { AssistantMessage } from "../src/types.js";
import { isContextOverflow } from "../src/utils/overflow.js";
function createErrorMessage(errorMessage: string): AssistantMessage {
return {
role: "assistant",
content: [],
api: "openai-completions",
provider: "ollama",
model: "qwen3.5:35b",
usage: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
totalTokens: 0,
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
total: 0,
},
},
stopReason: "error",
errorMessage,
timestamp: Date.now(),
};
}
describe("isContextOverflow", () => {
it("detects explicit Ollama prompt-too-long errors", () => {
const message = createErrorMessage("400 `prompt too long; exceeded max context length by 100918 tokens`");
expect(isContextOverflow(message, 32768)).toBe(true);
});
it("does not treat generic non-overflow Ollama errors as overflow", () => {
const message = createErrorMessage("500 `model runner crashed unexpectedly`");
expect(isContextOverflow(message, 32768)).toBe(false);
});
it("does not treat Bedrock throttling 'Too many tokens' as overflow", () => {
const message = createErrorMessage("Throttling error: Too many tokens, please wait before trying again.");
expect(isContextOverflow(message, 200000)).toBe(false);
});
it("does not treat Bedrock service unavailable as overflow", () => {
const message = createErrorMessage("Service unavailable: The service is temporarily unavailable.");
expect(isContextOverflow(message, 200000)).toBe(false);
});
it("does not treat generic rate limit errors as overflow", () => {
const message = createErrorMessage("Rate limit exceeded, please retry after 30 seconds.");
expect(isContextOverflow(message, 200000)).toBe(false);
});
it("does not treat HTTP 429 style errors as overflow", () => {
const message = createErrorMessage("Too many requests. Please slow down.");
expect(isContextOverflow(message, 200000)).toBe(false);
});
function createLengthStopMessage(input: number, cacheRead: number, output: number): AssistantMessage {
return {
role: "assistant",
content: [],
api: "openai-completions",
provider: "xiaomi",
model: "mimo-v2.5-pro",
usage: {
input,
output,
cacheRead,
cacheWrite: 0,
totalTokens: input + cacheRead + output,
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
},
stopReason: "length",
timestamp: Date.now(),
};
}
it("detects Xiaomi-style overflow (length stop with zero output and filled context)", () => {
const message = createLengthStopMessage(58, 1048512, 0);
expect(isContextOverflow(message, 1048576)).toBe(true);
});
it("does not treat normal length stops with output as overflow", () => {
const message = createLengthStopMessage(1000, 0, 4096);
expect(isContextOverflow(message, 200000)).toBe(false);
});
it("does not treat length stops far below context as overflow", () => {
const message = createLengthStopMessage(100, 0, 0);
expect(isContextOverflow(message, 200000)).toBe(false);
});
});