co-mono/packages/ai/test/empty.test.ts
2025-10-26 00:43:43 +02:00

291 lines
7.8 KiB
TypeScript

import { describe, expect, it } from "vitest";
import { getModel } from "../src/models.js";
import { complete } from "../src/stream.js";
import type { Api, AssistantMessage, Context, Model, OptionsForApi, UserMessage } from "../src/types.js";
async function testEmptyMessage<TApi extends Api>(llm: Model<TApi>, options: OptionsForApi<TApi> = {}) {
// Test with completely empty content array
const emptyMessage: UserMessage = {
role: "user",
content: [],
timestamp: Date.now(),
};
const context: Context = {
messages: [emptyMessage],
};
const response = await complete(llm, context, options);
// Should either handle gracefully or return an error
expect(response).toBeDefined();
expect(response.role).toBe("assistant");
// Should handle empty string gracefully
if (response.stopReason === "error") {
expect(response.errorMessage).toBeDefined();
} else {
expect(response.content).toBeDefined();
}
}
async function testEmptyStringMessage<TApi extends Api>(llm: Model<TApi>, options: OptionsForApi<TApi> = {}) {
// Test with empty string content
const context: Context = {
messages: [
{
role: "user",
content: "",
timestamp: Date.now(),
},
],
};
const response = await complete(llm, context, options);
expect(response).toBeDefined();
expect(response.role).toBe("assistant");
// Should handle empty string gracefully
if (response.stopReason === "error") {
expect(response.errorMessage).toBeDefined();
} else {
expect(response.content).toBeDefined();
}
}
async function testWhitespaceOnlyMessage<TApi extends Api>(llm: Model<TApi>, options: OptionsForApi<TApi> = {}) {
// Test with whitespace-only content
const context: Context = {
messages: [
{
role: "user",
content: " \n\t ",
timestamp: Date.now(),
},
],
};
const response = await complete(llm, context, options);
expect(response).toBeDefined();
expect(response.role).toBe("assistant");
// Should handle whitespace-only gracefully
if (response.stopReason === "error") {
expect(response.errorMessage).toBeDefined();
} else {
expect(response.content).toBeDefined();
}
}
async function testEmptyAssistantMessage<TApi extends Api>(llm: Model<TApi>, options: OptionsForApi<TApi> = {}) {
// Test with empty assistant message in conversation flow
// User -> Empty Assistant -> User
const emptyAssistant: AssistantMessage = {
role: "assistant",
content: [],
api: llm.api,
provider: llm.provider,
model: llm.id,
usage: {
input: 10,
output: 0,
cacheRead: 0,
cacheWrite: 0,
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
},
stopReason: "stop",
timestamp: Date.now(),
};
const context: Context = {
messages: [
{
role: "user",
content: "Hello, how are you?",
timestamp: Date.now(),
},
emptyAssistant,
{
role: "user",
content: "Please respond this time.",
timestamp: Date.now(),
},
],
};
const response = await complete(llm, context, options);
expect(response).toBeDefined();
expect(response.role).toBe("assistant");
// Should handle empty assistant message in context gracefully
if (response.stopReason === "error") {
expect(response.errorMessage).toBeDefined();
} else {
expect(response.content).toBeDefined();
expect(response.content.length).toBeGreaterThan(0);
}
}
describe("AI Providers Empty Message Tests", () => {
describe.skipIf(!process.env.GEMINI_API_KEY)("Google Provider Empty Messages", () => {
const llm = getModel("google", "gemini-2.5-flash");
it("should handle empty content array", async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!process.env.OPENAI_API_KEY)("OpenAI Completions Provider Empty Messages", () => {
const llm = getModel("openai", "gpt-4o-mini");
it("should handle empty content array", async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!process.env.OPENAI_API_KEY)("OpenAI Responses Provider Empty Messages", () => {
const llm = getModel("openai", "gpt-5-mini");
it("should handle empty content array", async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!process.env.ANTHROPIC_OAUTH_TOKEN)("Anthropic Provider Empty Messages", () => {
const llm = getModel("anthropic", "claude-3-5-haiku-20241022");
it("should handle empty content array", async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!process.env.XAI_API_KEY)("xAI Provider Empty Messages", () => {
const llm = getModel("xai", "grok-3");
it("should handle empty content array", async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!process.env.GROQ_API_KEY)("Groq Provider Empty Messages", () => {
const llm = getModel("groq", "openai/gpt-oss-20b");
it("should handle empty content array", async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!process.env.CEREBRAS_API_KEY)("Cerebras Provider Empty Messages", () => {
const llm = getModel("cerebras", "gpt-oss-120b");
it("should handle empty content array", async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!process.env.ZAI_API_KEY)("zAI Provider Empty Messages", () => {
const llm = getModel("zai", "glm-4.5-air");
it("should handle empty content array", async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", async () => {
await testEmptyAssistantMessage(llm);
});
});
});