co-mono/packages/ai/test/abort.test.ts
Mario Zechner bf1f410c2b refactor(ai): Update API to support partial results on abort
- Anthropic, Google, and OpenAI Responses providers now return partial results when aborted
- Restructured streaming to accumulate content blocks incrementally
- Prevents submission of thinking/toolCall blocks from aborted completions in multi-turn conversations
- Makes UI development easier by providing partial content even when requests are interrupted
2025-09-01 01:57:45 +02:00

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TypeScript

import { describe, it, beforeAll, expect } from "vitest";
import { GoogleLLM } from "../src/providers/google.js";
import { OpenAICompletionsLLM } from "../src/providers/openai-completions.js";
import { OpenAIResponsesLLM } from "../src/providers/openai-responses.js";
import { AnthropicLLM } from "../src/providers/anthropic.js";
import type { LLM, LLMOptions, Context } from "../src/types.js";
import { getModel } from "../src/models.js";
async function testAbortSignal<T extends LLMOptions>(llm: LLM<T>, options: T) {
const controller = new AbortController();
// Abort after 100ms
setTimeout(() => controller.abort(), 5000);
const context: Context = {
messages: [{
role: "user",
content: "What is 15 + 27? Think step by step. Then list 100 first names."
}]
};
const response = await llm.complete(context, {
...options,
signal: controller.signal
});
// If we get here without throwing, the abort didn't work
expect(response.stopReason).toBe("error");
expect(response.content.length).toBeGreaterThan(0);
context.messages.push(response);
context.messages.push({ role: "user", content: "Please continue." });
// Ensure we can still make requests after abort
const followUp = await llm.complete(context, options);
expect(followUp.stopReason).toBe("stop");
expect(followUp.content.length).toBeGreaterThan(0);
}
async function testImmediateAbort<T extends LLMOptions>(llm: LLM<T>, options: T) {
const controller = new AbortController();
// Abort immediately
controller.abort();
const context: Context = {
messages: [{ role: "user", content: "Hello" }]
};
const response = await llm.complete(context, {
...options,
signal: controller.signal
});
expect(response.stopReason).toBe("error");
}
describe("AI Providers Abort Tests", () => {
describe.skipIf(!process.env.GEMINI_API_KEY)("Google Provider Abort", () => {
let llm: GoogleLLM;
beforeAll(() => {
llm = new GoogleLLM(getModel("google", "gemini-2.5-flash")!, process.env.GEMINI_API_KEY!);
});
it("should abort mid-stream", async () => {
await testAbortSignal(llm, { thinking: { enabled: true } });
});
it("should handle immediate abort", async () => {
await testImmediateAbort(llm, { thinking: { enabled: true } });
});
});
describe.skipIf(!process.env.OPENAI_API_KEY)("OpenAI Completions Provider Abort", () => {
let llm: OpenAICompletionsLLM;
beforeAll(() => {
llm = new OpenAICompletionsLLM(getModel("openai", "gpt-5-mini")!, process.env.OPENAI_API_KEY!);
});
it("should abort mid-stream", async () => {
await testAbortSignal(llm, { reasoningEffort: "medium"});
});
it("should handle immediate abort", async () => {
await testImmediateAbort(llm, { reasoningEffort: "medium" });
});
});
describe.skipIf(!process.env.OPENAI_API_KEY)("OpenAI Responses Provider Abort", () => {
let llm: OpenAIResponsesLLM;
beforeAll(() => {
const model = getModel("openai", "gpt-5-mini");
if (!model) {
throw new Error("Model not found");
}
llm = new OpenAIResponsesLLM(model, process.env.OPENAI_API_KEY!);
});
it("should abort mid-stream", async () => {
await testAbortSignal(llm, {});
});
it("should handle immediate abort", async () => {
await testImmediateAbort(llm, {});
});
});
describe.skipIf(!process.env.ANTHROPIC_OAUTH_TOKEN)("Anthropic Provider Abort", () => {
let llm: AnthropicLLM;
beforeAll(() => {
llm = new AnthropicLLM(getModel("anthropic", "claude-opus-4-1")!, process.env.ANTHROPIC_OAUTH_TOKEN!);
});
it("should abort mid-stream", async () => {
await testAbortSignal(llm, {thinking: { enabled: true, budgetTokens: 2048 }});
});
it("should handle immediate abort", async () => {
await testImmediateAbort(llm, {thinking: { enabled: true, budgetTokens: 2048 }});
});
});
});