Files
OmniRoute/tests/unit/zai-glm53-support.test.ts
Mr White 6f914b7a32 feat(zai): add GLM-5.3-Flash Coding Plan support (#11801)
Adiciona suporte ao GLM-5.3-Flash Coding Plan (endpoint OpenAI-compatible, tiers de esforço low/high/max via reasoning_effort). Boa cobertura de testes. Validado no worktree combinado.

Dois problemas resolvidos antes de mergear:
1. **Duplicata silenciosa de "glm-5.3-flash"** em `src/shared/constants/modelSpecs.ts` e `open-sse/config/glmProvider.ts` (#11830, já mergeado nesta sessão, e sua PR inserem a mesma entrada em pontos diferentes do arquivo — git não detecta como conflito textual). Removida a duplicata, preservando a ordem que o teste pré-existente `open-sse/mcp-server/__tests__/glmCodingProviderConfig.test.ts` espera (glm-5.3-flash primeiro no array `GLM_SHARED_MODELS`).
2. Conflito real em `zai/index.ts`, `default.ts`, `pricing/shared-tiers.ts` e no teste de catálogo — todos aditivos, resolvidos mantendo ambos os lados.

27/27 + 10/10 (vitest) testes focados verdes. Obrigado!
2026-08-30 11:37:32 -03:00

131 lines
4.7 KiB
TypeScript

import test from "node:test";
import assert from "node:assert/strict";
import { DefaultExecutor } from "../../open-sse/executors/default.ts";
import { GlmExecutor } from "../../open-sse/executors/glm.ts";
import { GLM_SHARED_MODELS } from "../../open-sse/config/glmProvider.ts";
import { getModelTargetFormat, getProviderModel } from "../../open-sse/config/providerModels.ts";
const CREDENTIALS = {
apiKey: "test-key",
providerSpecificData: { targetFormat: "openai" },
} as Record<string, unknown>;
function chatBody(extra: Record<string, unknown> = {}) {
return {
model: "glm-5.3-flash",
messages: [{ role: "user", content: "hi" }],
...extra,
};
}
test("shared GLM catalog includes GLM-5.3-Flash with native vision and effort tiers", () => {
const flash = GLM_SHARED_MODELS.find((model) => model.id === "glm-5.3-flash");
assert.ok(flash);
assert.equal(flash.contextLength, 1000000);
assert.equal(flash.maxOutputTokens, 131072);
assert.equal(flash.toolCalling, true);
assert.equal(flash.supportsReasoning, true);
assert.equal(flash.supportsVision, true);
assert.deepEqual(flash.supportedThinkingEfforts, ["low", "high", "max"]);
for (const tier of ["low", "high", "max"] as const) {
const variant = GLM_SHARED_MODELS.find((model) => model.id === `glm-5.3-flash-${tier}`);
assert.ok(variant, `missing glm-5.3-flash-${tier}`);
assert.deepEqual(variant.supportedThinkingEfforts, [tier]);
assert.equal(variant.supportsVision, true);
}
});
test("zai provider hardcodes GLM-5.3-family models onto the OpenAI Coding Plan endpoint", () => {
const glm53 = getProviderModel("zai", "glm-5.3");
const flash = getProviderModel("zai", "glm-5.3-flash");
assert.equal(glm53?.targetFormat, "openai");
assert.equal(flash?.targetFormat, "openai");
assert.deepEqual(flash?.supportedThinkingEfforts, ["low", "high", "max"]);
assert.equal(flash?.supportsVision, true);
assert.equal(getModelTargetFormat("zai", "glm-5.3-flash"), "openai");
});
test("zai GLM-5.3-Flash OpenAI path defaults thinking, floors missing effort to low, and sets tool_stream", () => {
const executor = new DefaultExecutor("zai");
const out = executor.transformRequest(
"glm-5.3-flash",
chatBody({
stream: true,
tools: [{ type: "function", function: { name: "lookup", parameters: { type: "object" } } }],
}),
true,
CREDENTIALS
) as Record<string, unknown>;
assert.equal(out.model, "glm-5.3-flash");
assert.equal(out.reasoning_effort, "low");
assert.deepEqual(out.thinking, { type: "enabled", clear_thinking: false });
assert.equal(out.tool_stream, true);
});
test("zai GLM-5.3-Flash -max alias forces max when the client sends no effort", () => {
const executor = new DefaultExecutor("zai");
const out = executor.transformRequest(
"glm-5.3-flash-max",
chatBody({ model: "glm-5.3-flash-max" }),
false,
CREDENTIALS
) as Record<string, unknown>;
assert.equal(out.model, "glm-5.3-flash");
assert.equal(out.reasoning_effort, "max");
assert.deepEqual(out.thinking, { type: "enabled", clear_thinking: false });
});
test("zai GLM-5.3 OpenAI defaults preserve explicit reasoning_effort", () => {
const executor = new DefaultExecutor("zai");
const out = executor.transformRequest(
"glm-5.3",
chatBody({ model: "glm-5.3", reasoning_effort: "low" }),
false,
CREDENTIALS
) as Record<string, unknown>;
assert.equal(out.reasoning_effort, "low");
assert.deepEqual(out.thinking, { type: "enabled", clear_thinking: false });
});
test("zai GLM-5.3 effort aliases rewrite to base model and native effort", () => {
const executor = new DefaultExecutor("zai");
const out = executor.transformRequest(
"glm-5.3-flash-low",
chatBody({ model: "glm-5.3-flash-low" }),
false,
CREDENTIALS
) as Record<string, unknown>;
assert.equal(out.model, "glm-5.3-flash");
assert.equal(out.reasoning_effort, "low");
assert.deepEqual(out.thinking, { type: "enabled", clear_thinking: false });
});
test("GlmExecutor resolves glm-5.3-flash effort aliases on the OpenAI coding transport", () => {
const executor = new GlmExecutor("glm");
for (const [alias, effort] of [
["glm-5.3-flash-high", "high"],
["glm-5.3-flash-low", "low"],
["glm-5.3-flash-max", "max"],
] as const) {
const transformed = executor.transformForTransport(
alias,
{ messages: [{ role: "user", content: "hi" }] },
false,
{ apiKey: "glm-key" },
"openai"
) as Record<string, unknown>;
assert.equal(transformed.model, "glm-5.3-flash", alias);
assert.equal(transformed.reasoning_effort, effort, alias);
assert.equal((transformed.thinking as { type?: string } | undefined)?.type, "enabled", alias);
}
});