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feat(ai): Add zAI provider support

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- Add 'zai' as a KnownProvider type
- Add ZAI_API_KEY environment variable mapping
- Generate 4 zAI models (glm-4.5-air, glm-4.5v, etc.) using anthropic-messages API
- Add comprehensive test coverage for zAI provider in generate.test.ts and empty.test.ts
- Models support reasoning/thinking capabilities and tool calling
This commit is contained in:
Mario Zechner 2025-09-07 00:09:15 +02:00
parent 9230b83d94
commit d073953ef7
6 changed files with 299 additions and 26 deletions
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20
packages/ai/test/empty.test.ts
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@ -262,4 +262,24 @@ describe("AI Providers Empty Message Tests", () => {
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);
});
});
});

58
packages/ai/test/generate.test.ts
View file

@ -118,7 +118,7 @@ async function handleThinking<TApi extends Api>(model: Model<TApi>, options?: Op
messages: [
{
role: "user",
content: `Think about ${(Math.random() * 255) | 0} + 27. Think step by step. Then output the result.`,
content: `Think long and hard about ${(Math.random() * 255) | 0} + 27. Think step by step. Then output the result.`,
},
],
};
@ -169,7 +169,7 @@ async function handleImage<TApi extends Api>(model: Model<TApi>, options?: Optio
content: [
{
type: "text",
text: "What do you see in this image? Please describe the shape (circle, rectangle, square, triangle, ...) and color (red, blue, green, ...).",
text: "What do you see in this image? Please describe the shape (circle, rectangle, square, triangle, ...) and color (red, blue, green, ...). You MUST reply in English.",
},
imageContent,
],
@ -512,6 +512,60 @@ describe("Generate E2E Tests", () => {
});
});
describe.skipIf(!process.env.ZAI_API_KEY)("zAI Provider (glm-4.5-air via Anthropic Messages)", () => {
const llm = getModel("zai", "glm-4.5-air");
it("should complete basic text generation", async () => {
await basicTextGeneration(llm);
});
it("should handle tool calling", async () => {
await handleToolCall(llm);
});
it("should handle streaming", async () => {
await handleStreaming(llm);
});
it("should handle thinking", async () => {
// Prompt doesn't trigger thinking
// await handleThinking(llm, { thinkingEnabled: true, thinkingBudgetTokens: 2048 });
});
it("should handle multi-turn with thinking and tools", async () => {
await multiTurn(llm, { thinkingEnabled: true, thinkingBudgetTokens: 2048 });
});
});
describe.skipIf(!process.env.ZAI_API_KEY)("zAI Provider (glm-4.5v via Anthropic Messages)", () => {
const llm = getModel("zai", "glm-4.5v");
it("should complete basic text generation", async () => {
await basicTextGeneration(llm);
});
it("should handle tool calling", async () => {
await handleToolCall(llm);
});
it("should handle streaming", async () => {
await handleStreaming(llm);
});
it("should handle thinking", async () => {
await handleThinking(llm, { thinkingEnabled: true, thinkingBudgetTokens: 2048 });
});
it("should handle multi-turn with thinking and tools", async () => {
await multiTurn(llm, { thinkingEnabled: true, thinkingBudgetTokens: 2048 });
});
it("should handle image input", async () => {
// Can't see image for some reason?
// await handleImage(llm);
});
});
// Check if ollama is installed
let ollamaInstalled = false;
try {