Files
sproutclaw/packages/ai/test/empty.test.ts
MC d6e08b3da0 feat(ai): add Cloudflare Workers AI as a provider (#3851)
* feat(ai): add Cloudflare Workers AI as a provider

Cloudflare Workers AI hosts open-weight LLMs (Kimi K2.6, GPT-OSS,
GLM-4.7, Llama 4, Gemma 4, Nemotron 3) on Cloudflare's GPU network with
an OpenAI-compatible endpoint. Reuses the openai-completions API
protocol; the per-account URL contains a {CLOUDFLARE_ACCOUNT_ID}
placeholder resolved at request time by a small helper.

Pi automatically sets x-session-affinity for prefix caching:
https://developers.cloudflare.com/workers-ai/features/prompt-caching/

Auth: CLOUDFLARE_API_KEY (matches pi's *_API_KEY convention) +
CLOUDFLARE_ACCOUNT_ID. The User-Agent identifies traffic as
'pi-coding-agent' in Cloudflare analytics.

Verified end-to-end against a real Cloudflare account: 17 e2e tests
pass across stream/empty/tokens/unicode/tool-call-without-result/
total-tokens against @cf/moonshotai/kimi-k2.6.

Cloudflare AI Gateway is a separate, larger change (it requires routing
through provider-specific subpaths with the matching API protocol per
upstream) and will land in a follow-up PR.

* refactor(ai): move Cloudflare User-Agent and session-affinity flag to per-model metadata

Instead of conditionally setting them in openai-completions.ts based on
provider detection, declare them as model-level fields in the catalog
(headers + compat). This is consistent with how the github-copilot and
kimi-coding entries already declare their static headers.

  packages/ai/scripts/generate-models.ts: emit headers and compat fields
  on each cloudflare-workers-ai entry (CLOUDFLARE_STATIC_HEADERS).
  packages/ai/src/providers/openai-completions.ts: drop the
  isCloudflareProvider conditional that injected User-Agent and the
  isCloudflareWorkersAI override of sendSessionAffinityHeaders.
  packages/ai/src/models.generated.ts: re-spliced 8 cloudflare-workers-ai
  entries with headers + compat.

Behavior is unchanged - verified via fetch interceptor that User-Agent
and x-session-affinity / session_id / x-client-request-id are still sent
on outbound requests. 5/5 e2e tests pass.
2026-04-27 23:41:54 +02:00

766 lines
25 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, StreamOptions, UserMessage } from "../src/types.js";
type StreamOptionsWithExtras = StreamOptions & Record<string, unknown>;
import { hasAzureOpenAICredentials, resolveAzureDeploymentName } from "./azure-utils.js";
import { hasBedrockCredentials } from "./bedrock-utils.js";
import { resolveApiKey } from "./oauth.js";
// Resolve OAuth tokens at module level (async, runs before tests)
const oauthTokens = await Promise.all([
resolveApiKey("anthropic"),
resolveApiKey("github-copilot"),
resolveApiKey("google-gemini-cli"),
resolveApiKey("google-antigravity"),
resolveApiKey("openai-codex"),
]);
const [anthropicOAuthToken, githubCopilotToken, geminiCliToken, antigravityToken, openaiCodexToken] = oauthTokens;
async function testEmptyMessage<TApi extends Api>(llm: Model<TApi>, options: StreamOptionsWithExtras = {}) {
// 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: StreamOptionsWithExtras = {}) {
// 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: StreamOptionsWithExtras = {}) {
// 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: StreamOptionsWithExtras = {}) {
// 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,
totalTokens: 10,
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", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, 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", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, 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", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!hasAzureOpenAICredentials())("Azure OpenAI Responses Provider Empty Messages", () => {
const llm = getModel("azure-openai-responses", "gpt-4o-mini");
const azureDeploymentName = resolveAzureDeploymentName(llm.id);
const azureOptions = azureDeploymentName ? { azureDeploymentName } : {};
it("should handle empty content array", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm, azureOptions);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm, azureOptions);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm, azureOptions);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, async () => {
await testEmptyAssistantMessage(llm, azureOptions);
});
});
describe.skipIf(!process.env.ANTHROPIC_API_KEY)("Anthropic Provider Empty Messages", () => {
const llm = getModel("anthropic", "claude-haiku-4-5");
it("should handle empty content array", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, 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", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, 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", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, 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", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!process.env.CLOUDFLARE_API_KEY || !process.env.CLOUDFLARE_ACCOUNT_ID)(
"Cloudflare Workers AI Provider Empty Messages",
() => {
const llm = getModel("cloudflare-workers-ai", "@cf/moonshotai/kimi-k2.6");
it("should handle empty content array", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, async () => {
await testEmptyAssistantMessage(llm);
});
},
);
describe.skipIf(!process.env.HF_TOKEN)("Hugging Face Provider Empty Messages", () => {
const llm = getModel("huggingface", "moonshotai/Kimi-K2.5");
it("should handle empty content array", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, 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", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!process.env.MISTRAL_API_KEY)("Mistral Provider Empty Messages", () => {
const llm = getModel("mistral", "devstral-medium-latest");
it("should handle empty content array", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!process.env.MINIMAX_API_KEY)("MiniMax Provider Empty Messages", () => {
const llm = getModel("minimax", "MiniMax-M2.7");
it("should handle empty content array", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!process.env.KIMI_API_KEY)("Kimi For Coding Provider Empty Messages", () => {
const llm = getModel("kimi-coding", "kimi-k2-thinking");
it("should handle empty content array", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!process.env.AI_GATEWAY_API_KEY)("Vercel AI Gateway Provider Empty Messages", () => {
const llm = getModel("vercel-ai-gateway", "google/gemini-2.5-flash");
it("should handle empty content array", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, async () => {
await testEmptyAssistantMessage(llm);
});
});
describe.skipIf(!hasBedrockCredentials())("Amazon Bedrock Provider Empty Messages", () => {
const llm = getModel("amazon-bedrock", "global.anthropic.claude-sonnet-4-5-20250929-v1:0");
it("should handle empty content array", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm);
});
it("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm);
});
it("should handle whitespace-only content", { retry: 3, timeout: 30000 }, async () => {
await testWhitespaceOnlyMessage(llm);
});
it("should handle empty assistant message in conversation", { retry: 3, timeout: 30000 }, async () => {
await testEmptyAssistantMessage(llm);
});
});
// =========================================================================
// OAuth-based providers (credentials from ~/.pi/agent/oauth.json)
// =========================================================================
describe("Anthropic OAuth Provider Empty Messages", () => {
const llm = getModel("anthropic", "claude-haiku-4-5");
it.skipIf(!anthropicOAuthToken)("should handle empty content array", { retry: 3, timeout: 30000 }, async () => {
await testEmptyMessage(llm, { apiKey: anthropicOAuthToken });
});
it.skipIf(!anthropicOAuthToken)("should handle empty string content", { retry: 3, timeout: 30000 }, async () => {
await testEmptyStringMessage(llm, { apiKey: anthropicOAuthToken });
});
it.skipIf(!anthropicOAuthToken)(
"should handle whitespace-only content",
{ retry: 3, timeout: 30000 },
async () => {
await testWhitespaceOnlyMessage(llm, { apiKey: anthropicOAuthToken });
},
);
it.skipIf(!anthropicOAuthToken)(
"should handle empty assistant message in conversation",
{ retry: 3, timeout: 30000 },
async () => {
await testEmptyAssistantMessage(llm, { apiKey: anthropicOAuthToken });
},
);
});
describe("GitHub Copilot Provider Empty Messages", () => {
it.skipIf(!githubCopilotToken)(
"gpt-4o - should handle empty content array",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "gpt-4o");
await testEmptyMessage(llm, { apiKey: githubCopilotToken });
},
);
it.skipIf(!githubCopilotToken)(
"gpt-4o - should handle empty string content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "gpt-4o");
await testEmptyStringMessage(llm, { apiKey: githubCopilotToken });
},
);
it.skipIf(!githubCopilotToken)(
"gpt-4o - should handle whitespace-only content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "gpt-4o");
await testWhitespaceOnlyMessage(llm, { apiKey: githubCopilotToken });
},
);
it.skipIf(!githubCopilotToken)(
"gpt-4o - should handle empty assistant message in conversation",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "gpt-4o");
await testEmptyAssistantMessage(llm, { apiKey: githubCopilotToken });
},
);
it.skipIf(!githubCopilotToken)(
"claude-sonnet-4 - should handle empty content array",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "claude-sonnet-4");
await testEmptyMessage(llm, { apiKey: githubCopilotToken });
},
);
it.skipIf(!githubCopilotToken)(
"claude-sonnet-4 - should handle empty string content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "claude-sonnet-4");
await testEmptyStringMessage(llm, { apiKey: githubCopilotToken });
},
);
it.skipIf(!githubCopilotToken)(
"claude-sonnet-4 - should handle whitespace-only content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "claude-sonnet-4");
await testWhitespaceOnlyMessage(llm, { apiKey: githubCopilotToken });
},
);
it.skipIf(!githubCopilotToken)(
"claude-sonnet-4 - should handle empty assistant message in conversation",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("github-copilot", "claude-sonnet-4");
await testEmptyAssistantMessage(llm, { apiKey: githubCopilotToken });
},
);
});
describe("Google Gemini CLI Provider Empty Messages", () => {
it.skipIf(!geminiCliToken)(
"gemini-2.5-flash - should handle empty content array",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-gemini-cli", "gemini-2.5-flash");
await testEmptyMessage(llm, { apiKey: geminiCliToken });
},
);
it.skipIf(!geminiCliToken)(
"gemini-2.5-flash - should handle empty string content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-gemini-cli", "gemini-2.5-flash");
await testEmptyStringMessage(llm, { apiKey: geminiCliToken });
},
);
it.skipIf(!geminiCliToken)(
"gemini-2.5-flash - should handle whitespace-only content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-gemini-cli", "gemini-2.5-flash");
await testWhitespaceOnlyMessage(llm, { apiKey: geminiCliToken });
},
);
it.skipIf(!geminiCliToken)(
"gemini-2.5-flash - should handle empty assistant message in conversation",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-gemini-cli", "gemini-2.5-flash");
await testEmptyAssistantMessage(llm, { apiKey: geminiCliToken });
},
);
});
describe("Google Antigravity Provider Empty Messages", () => {
it.skipIf(!antigravityToken)(
"gemini-3-flash - should handle empty content array",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-antigravity", "gemini-3-flash");
await testEmptyMessage(llm, { apiKey: antigravityToken });
},
);
it.skipIf(!antigravityToken)(
"gemini-3-flash - should handle empty string content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-antigravity", "gemini-3-flash");
await testEmptyStringMessage(llm, { apiKey: antigravityToken });
},
);
it.skipIf(!antigravityToken)(
"gemini-3-flash - should handle whitespace-only content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-antigravity", "gemini-3-flash");
await testWhitespaceOnlyMessage(llm, { apiKey: antigravityToken });
},
);
it.skipIf(!antigravityToken)(
"gemini-3-flash - should handle empty assistant message in conversation",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-antigravity", "gemini-3-flash");
await testEmptyAssistantMessage(llm, { apiKey: antigravityToken });
},
);
it.skipIf(!antigravityToken)(
"claude-sonnet-4-5 - should handle empty content array",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-antigravity", "claude-sonnet-4-5");
await testEmptyMessage(llm, { apiKey: antigravityToken });
},
);
it.skipIf(!antigravityToken)(
"claude-sonnet-4-5 - should handle empty string content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-antigravity", "claude-sonnet-4-5");
await testEmptyStringMessage(llm, { apiKey: antigravityToken });
},
);
it.skipIf(!antigravityToken)(
"claude-sonnet-4-5 - should handle whitespace-only content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-antigravity", "claude-sonnet-4-5");
await testWhitespaceOnlyMessage(llm, { apiKey: antigravityToken });
},
);
it.skipIf(!antigravityToken)(
"claude-sonnet-4-5 - should handle empty assistant message in conversation",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-antigravity", "claude-sonnet-4-5");
await testEmptyAssistantMessage(llm, { apiKey: antigravityToken });
},
);
it.skipIf(!antigravityToken)(
"gpt-oss-120b-medium - should handle empty content array",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-antigravity", "gpt-oss-120b-medium");
await testEmptyMessage(llm, { apiKey: antigravityToken });
},
);
it.skipIf(!antigravityToken)(
"gpt-oss-120b-medium - should handle empty string content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-antigravity", "gpt-oss-120b-medium");
await testEmptyStringMessage(llm, { apiKey: antigravityToken });
},
);
it.skipIf(!antigravityToken)(
"gpt-oss-120b-medium - should handle whitespace-only content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-antigravity", "gpt-oss-120b-medium");
await testWhitespaceOnlyMessage(llm, { apiKey: antigravityToken });
},
);
it.skipIf(!antigravityToken)(
"gpt-oss-120b-medium - should handle empty assistant message in conversation",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("google-antigravity", "gpt-oss-120b-medium");
await testEmptyAssistantMessage(llm, { apiKey: antigravityToken });
},
);
});
describe("OpenAI Codex Provider Empty Messages", () => {
it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle empty content array",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex");
await testEmptyMessage(llm, { apiKey: openaiCodexToken });
},
);
it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle empty string content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex");
await testEmptyStringMessage(llm, { apiKey: openaiCodexToken });
},
);
it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle whitespace-only content",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex");
await testWhitespaceOnlyMessage(llm, { apiKey: openaiCodexToken });
},
);
it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle empty assistant message in conversation",
{ retry: 3, timeout: 30000 },
async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex");
await testEmptyAssistantMessage(llm, { apiKey: openaiCodexToken });
},
);
});
});