import { Type } from "typebox";
import { describe, expect, it } from "vitest";
import { getModel } from "../src/models.js";
import { complete } from "../src/stream.js";
import type { Api, Context, Model, StreamOptions, ToolResultMessage } from "../src/types.js";
import { getKimiCodingTestModel } from "./kimi-test-model.js";
import { getZaiTestModel } from "./zai-test-model.js";
type StreamOptionsWithExtras = StreamOptions & Record<string, unknown>;
import { hasAzureOpenAICredentials, resolveAzureDeploymentName } from "./azure-utils.js";
import { hasBedrockCredentials } from "./bedrock-utils.js";
import { hasCloudflareWorkersAICredentials } from "./cloudflare-utils.js";
import { resolveApiKey } from "./oauth.js";
const emptySchema = Type.Object({});
const oauthTokens = await Promise.all([
resolveApiKey("anthropic"),
resolveApiKey("github-copilot"),
resolveApiKey("openai-codex"),
]);
const [anthropicOAuthToken, githubCopilotToken, openaiCodexToken] = oauthTokens;
async function testEmojiInToolResults<TApi extends Api>(llm: Model<TApi>, options: StreamOptionsWithExtras = {}) {
const toolCallId = llm.provider === "mistral" ? "testtool1" : "test_1";
const context: Context = {
systemPrompt: "You are a helpful assistant.",
messages: [
{
role: "user",
content: "Use the test tool",
timestamp: Date.now(),
},
{
role: "assistant",
content: [
{
type: "toolCall",
id: toolCallId,
name: "test_tool",
arguments: {},
},
],
api: llm.api,
provider: llm.provider,
model: llm.id,
usage: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
totalTokens: 0,
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
},
stopReason: "toolUse",
timestamp: Date.now(),
},
],
tools: [
{
name: "test_tool",
description: "A test tool",
parameters: emptySchema,
},
],
};
const toolResult: ToolResultMessage = {
role: "toolResult",
toolCallId: toolCallId,
toolName: "test_tool",
content: [
{
type: "text",
text: `Test with emoji 🙈 and other characters:
- Monkey emoji: 🙈
- Thumbs up: 👍
- Heart: ❤️
- Thinking face: 🤔
- Rocket: 🚀
- Mixed text: Mario Zechner wann? Wo? Bin grad äußersr eventuninformiert 🙈
- Japanese: こんにちは
- Chinese: 你好
- Mathematical symbols: ∑∫∂√
- Special quotes: "curly" 'quotes'`,
},
],
isError: false,
timestamp: Date.now(),
};
context.messages.push(toolResult);
context.messages.push({
role: "user",
content: "Summarize the tool result briefly.",
timestamp: Date.now(),
});
const response = await complete(llm, context, options);
expect(response.stopReason).not.toBe("error");
expect(response.errorMessage).toBeFalsy();
expect(response.content.length).toBeGreaterThan(0);
}
async function testRealWorldLinkedInData<TApi extends Api>(llm: Model<TApi>, options: StreamOptionsWithExtras = {}) {
const toolCallId = llm.provider === "mistral" ? "linkedin1" : "linkedin_1";
const context: Context = {
systemPrompt: "You are a helpful assistant.",
messages: [
{
role: "user",
content: "Use the linkedin tool to get comments",
timestamp: Date.now(),
},
{
role: "assistant",
content: [
{
type: "toolCall",
id: toolCallId,
name: "linkedin_skill",
arguments: {},
},
],
api: llm.api,
provider: llm.provider,
model: llm.id,
usage: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
totalTokens: 0,
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
},
stopReason: "toolUse",
timestamp: Date.now(),
},
],
tools: [
{
name: "linkedin_skill",
description: "Get LinkedIn comments",
parameters: emptySchema,
},
],
};
const toolResult: ToolResultMessage = {
role: "toolResult",
toolCallId: toolCallId,
toolName: "linkedin_skill",
content: [
{
type: "text",
text: `Post: Hab einen "Generative KI für Nicht-Techniker" Workshop gebaut.
Unanswered Comments: 2
=> {
"comments": [
{
"author": "Matthias Neumayer's graphic link",
"text": "Leider nehmen das viel zu wenige Leute ernst"
},
{
"author": "Matthias Neumayer's graphic link",
"text": "Mario Zechner wann? Wo? Bin grad äußersr eventuninformiert 🙈"
}
]
}`,
},
],
isError: false,
timestamp: Date.now(),
};
context.messages.push(toolResult);
context.messages.push({
role: "user",
content: "How many comments are there?",
timestamp: Date.now(),
});
const response = await complete(llm, context, options);
expect(response.stopReason).not.toBe("error");
expect(response.errorMessage).toBeFalsy();
expect(response.content.some((b) => b.type === "text")).toBe(true);
}
async function testUnpairedHighSurrogate<TApi extends Api>(llm: Model<TApi>, options: StreamOptionsWithExtras = {}) {
const toolCallId = llm.provider === "mistral" ? "testtool2" : "test_2";
const context: Context = {
systemPrompt: "You are a helpful assistant.",
messages: [
{
role: "user",
content: "Use the test tool",
timestamp: Date.now(),
},
{
role: "assistant",
content: [
{
type: "toolCall",
id: toolCallId,
name: "test_tool",
arguments: {},
},
],
api: llm.api,
provider: llm.provider,
model: llm.id,
usage: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
totalTokens: 0,
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
},
stopReason: "toolUse",
timestamp: Date.now(),
},
],
tools: [
{
name: "test_tool",
description: "A test tool",
parameters: emptySchema,
},
],
};
const unpairedSurrogate = String.fromCharCode(0xd83d); // High surrogate without low surrogate
const toolResult: ToolResultMessage = {
role: "toolResult",
toolCallId: toolCallId,
toolName: "test_tool",
content: [{ type: "text", text: `Text with unpaired surrogate: ${unpairedSurrogate} <- should be sanitized` }],
isError: false,
timestamp: Date.now(),
};
context.messages.push(toolResult);
context.messages.push({
role: "user",
content: "What did the tool return?",
timestamp: Date.now(),
});
const response = await complete(llm, context, options);
expect(response.stopReason).not.toBe("error");
expect(response.errorMessage).toBeFalsy();
expect(response.content.length).toBeGreaterThan(0);
}
describe("AI Providers Unicode Surrogate Pair Tests", () => {
describe.skipIf(!process.env.GEMINI_API_KEY)("Google Provider Unicode Handling", () => {
const llm = getModel("google", "gemini-2.5-flash");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!process.env.OPENAI_API_KEY)("OpenAI Completions Provider Unicode Handling", () => {
const llm = getModel("openai", "gpt-4o-mini");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!process.env.OPENAI_API_KEY)("OpenAI Responses Provider Unicode Handling", () => {
const llm = getModel("openai", "gpt-5-mini");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!hasAzureOpenAICredentials())("Azure OpenAI Responses Provider Unicode Handling", () => {
const llm = getModel("azure-openai-responses", "gpt-4o-mini");
const azureDeploymentName = resolveAzureDeploymentName(llm.id);
const azureOptions = azureDeploymentName ? { azureDeploymentName } : {};
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm, azureOptions);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm, azureOptions);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm, azureOptions);
});
});
describe.skipIf(!process.env.ANTHROPIC_API_KEY)("Anthropic Provider Unicode Handling", () => {
const llm = getModel("anthropic", "claude-haiku-4-5");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe("Anthropic OAuth Provider Unicode Handling", () => {
const llm = getModel("anthropic", "claude-haiku-4-5");
it.skipIf(!anthropicOAuthToken)("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm, { apiKey: anthropicOAuthToken });
});
it.skipIf(!anthropicOAuthToken)(
"should handle real-world LinkedIn comment data with emoji",
{ retry: 3, timeout: 30000 },
async () => {
await testRealWorldLinkedInData(llm, { apiKey: anthropicOAuthToken });
},
);
it.skipIf(!anthropicOAuthToken)(
"should handle unpaired high surrogate (0xD83D) in tool results",
{ retry: 3, timeout: 30000 },
async () => {
await testUnpairedHighSurrogate(llm, { apiKey: anthropicOAuthToken });
},
);
});
describe("GitHub Copilot Provider Unicode Handling", () => {
it.skipIf(!githubCopilotToken)(
"gpt-5-mini - should handle emoji in tool results",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "gpt-5-mini");
await testEmojiInToolResults(llm, { apiKey: githubCopilotToken });
},
);
it.skipIf(!githubCopilotToken)(
"gpt-5-mini - should handle real-world LinkedIn comment data with emoji",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "gpt-5-mini");
await testRealWorldLinkedInData(llm, { apiKey: githubCopilotToken });
},
);
it.skipIf(!githubCopilotToken)(
"gpt-5-mini - should handle unpaired high surrogate (0xD83D) in tool results",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "gpt-5-mini");
await testUnpairedHighSurrogate(llm, { apiKey: githubCopilotToken });
},
);
it.skipIf(!githubCopilotToken)(
"claude-sonnet-4 - should handle emoji in tool results",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "claude-sonnet-4.5");
await testEmojiInToolResults(llm, { apiKey: githubCopilotToken });
},
);
it.skipIf(!githubCopilotToken)(
"claude-sonnet-4 - should handle real-world LinkedIn comment data with emoji",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "claude-sonnet-4.5");
await testRealWorldLinkedInData(llm, { apiKey: githubCopilotToken });
},
);
it.skipIf(!githubCopilotToken)(
"claude-sonnet-4 - should handle unpaired high surrogate (0xD83D) in tool results",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "claude-sonnet-4.5");
await testUnpairedHighSurrogate(llm, { apiKey: githubCopilotToken });
},
);
});
describe.skipIf(!process.env.XAI_API_KEY)("xAI Provider Unicode Handling", () => {
const llm = getModel("xai", "grok-4.3");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!process.env.GROQ_API_KEY)("Groq Provider Unicode Handling", () => {
const llm = getModel("groq", "openai/gpt-oss-20b");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!process.env.CEREBRAS_API_KEY)("Cerebras Provider Unicode Handling", () => {
const llm = getModel("cerebras", "gpt-oss-120b");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!hasCloudflareWorkersAICredentials())("Cloudflare Workers AI Provider Unicode Handling", () => {
const llm = getModel("cloudflare-workers-ai", "@cf/moonshotai/kimi-k2.6");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!process.env.HF_TOKEN)("Hugging Face Provider Unicode Handling", () => {
const llm = getModel("huggingface", "moonshotai/Kimi-K2.5");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!process.env.ZAI_API_KEY)("zAI Provider Unicode Handling", () => {
const llm = getZaiTestModel({ toolStream: true });
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!process.env.MISTRAL_API_KEY)("Mistral Provider Unicode Handling", () => {
const llm = getModel("mistral", "devstral-medium-latest");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!process.env.MINIMAX_API_KEY)("MiniMax Provider Unicode Handling", () => {
const llm = getModel("minimax", "MiniMax-M2.7");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!process.env.XIAOMI_API_KEY)("Xiaomi MiMo (API billing) Provider Unicode Handling", () => {
const llm = getModel("xiaomi", "mimo-v2.5-pro");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!process.env.XIAOMI_TOKEN_PLAN_CN_API_KEY)(
"Xiaomi MiMo Token Plan (CN) Provider Unicode Handling",
() => {
const llm = getModel("xiaomi-token-plan-cn", "mimo-v2.5-pro");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", {
retry: 3,
timeout: 30000,
}, async () => {
await testUnpairedHighSurrogate(llm);
});
},
);
describe.skipIf(!process.env.XIAOMI_TOKEN_PLAN_AMS_API_KEY)(
"Xiaomi MiMo Token Plan (AMS) Provider Unicode Handling",
() => {
const llm = getModel("xiaomi-token-plan-ams", "mimo-v2.5-pro");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", {
retry: 3,
timeout: 30000,
}, async () => {
await testUnpairedHighSurrogate(llm);
});
},
);
describe.skipIf(!process.env.XIAOMI_TOKEN_PLAN_SGP_API_KEY)(
"Xiaomi MiMo Token Plan (SGP) Provider Unicode Handling",
() => {
const llm = getModel("xiaomi-token-plan-sgp", "mimo-v2.5-pro");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", {
retry: 3,
timeout: 30000,
}, async () => {
await testUnpairedHighSurrogate(llm);
});
},
);
describe.skipIf(!process.env.KIMI_API_KEY)("Kimi For Coding Provider Unicode Handling", () => {
const llm = getKimiCodingTestModel();
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!process.env.AI_GATEWAY_API_KEY)("Vercel AI Gateway Provider Unicode Handling", () => {
const llm = getModel("vercel-ai-gateway", "google/gemini-2.5-flash");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe.skipIf(!hasBedrockCredentials())("Amazon Bedrock Provider Unicode Handling", () => {
const llm = getModel("amazon-bedrock", "global.anthropic.claude-sonnet-4-5-20250929-v1:0");
it("should handle emoji in tool results", { retry: 3, timeout: 30000 }, async () => {
await testEmojiInToolResults(llm);
});
it("should handle real-world LinkedIn comment data with emoji", { retry: 3, timeout: 30000 }, async () => {
await testRealWorldLinkedInData(llm);
});
it("should handle unpaired high surrogate (0xD83D) in tool results", { retry: 3, timeout: 30000 }, async () => {
await testUnpairedHighSurrogate(llm);
});
});
describe("OpenAI Codex Provider Unicode Handling", () => {
it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle emoji in tool results",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex");
await testEmojiInToolResults(llm, { apiKey: openaiCodexToken });
},
);
it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle real-world LinkedIn comment data with emoji",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex");
await testRealWorldLinkedInData(llm, { apiKey: openaiCodexToken });
},
);
it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle unpaired high surrogate (0xD83D) in tool results",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex");
await testUnpairedHighSurrogate(llm, { apiKey: openaiCodexToken });
},
);
});
});