mirror of
https://github.com/diegosouzapw/OmniRoute.git
synced 2026-07-31 12:22:14 +03:00
07df7c8e43
OpenCode's Zen provider changed its slug from 'opencode-zen' to 'opencode', breaking OmniRoute's provider resolution when users reference models with the new prefix (e.g. 'opencode/deepseek-v4-flash-free'). Changes: 1. open-sse/services/model.ts: Add manual ALIAS_TO_PROVIDER_ID entry mapping 'opencode' → 'opencode-zen' so parseModel() resolves correctly for model strings using the new slug. 2. open-sse/executors/index.ts: Register 'opencode' as an OpencodeExecutor alias for 'opencode-zen' so getExecutor() returns the correct executor. 3. open-sse/config/providerRegistry.ts: Update opencode-zen model list to match the live API at https://opencode.ai/zen/v1/models: - Add deepseek-v4-flash-free (the model users reported as broken) - Add all 30+ models from the API (Claude, GPT, Gemini, Grok, GLM, MiniMax, Kimi, Qwen series) - Apply targetFormat: 'claude' to qwen3.5-plus (same SSE bug as qwen3.6) - Remove ling-2.6-1t-free and trinity-large-preview-free (no longer in API) - Enable passthroughModels so new models work without code deploys 4. @omniroute/opencode-provider/src/index.ts: Remove broken reference to undefined OMNIROUTE_DEFAULT_MODEL_CONTEXT_LENGTHS constant. 5. tests/unit/opencode-executor.test.ts: Add tests for opencode alias, deepseek-v4-flash-free routing, and model registry presence.
257 lines
10 KiB
TypeScript
257 lines
10 KiB
TypeScript
import { afterEach, beforeEach, describe, it } from "node:test";
|
|
import assert from "node:assert/strict";
|
|
|
|
const { OpencodeExecutor } = await import("../../open-sse/executors/opencode.ts");
|
|
const { PROVIDER_MODELS } = await import("../../open-sse/config/providerModels.ts");
|
|
|
|
function createMockResponse() {
|
|
return new Response(JSON.stringify({ ok: true }), {
|
|
status: 200,
|
|
headers: { "Content-Type": "application/json" },
|
|
});
|
|
}
|
|
|
|
function createInput(model, stream = true, credentials = { apiKey: "test-key" }) {
|
|
return {
|
|
model,
|
|
stream,
|
|
credentials,
|
|
body: {
|
|
model,
|
|
stream,
|
|
messages: [{ role: "user", content: "hello" }],
|
|
},
|
|
};
|
|
}
|
|
|
|
function registerModel(provider, model) {
|
|
PROVIDER_MODELS[provider] = [...(PROVIDER_MODELS[provider] || []), model];
|
|
}
|
|
|
|
describe("OpencodeExecutor", () => {
|
|
let zenExecutor;
|
|
let goExecutor;
|
|
let fetchCalls;
|
|
let originalFetch;
|
|
let originalZenModels;
|
|
let originalGoModels;
|
|
|
|
beforeEach(() => {
|
|
zenExecutor = new OpencodeExecutor("opencode-zen");
|
|
goExecutor = new OpencodeExecutor("opencode-go");
|
|
fetchCalls = [];
|
|
originalFetch = globalThis.fetch;
|
|
originalZenModels = [...(PROVIDER_MODELS["opencode-zen"] || [])];
|
|
originalGoModels = [...(PROVIDER_MODELS["opencode-go"] || [])];
|
|
globalThis.fetch = async (url, options) => {
|
|
fetchCalls.push({ url, options });
|
|
return createMockResponse();
|
|
};
|
|
});
|
|
|
|
afterEach(() => {
|
|
globalThis.fetch = originalFetch;
|
|
PROVIDER_MODELS["opencode-zen"] = originalZenModels;
|
|
PROVIDER_MODELS["opencode-go"] = originalGoModels;
|
|
});
|
|
|
|
describe("execute", () => {
|
|
it('resolves "opencode" executor alias to opencode-zen config', async () => {
|
|
const aliasExecutor = new OpencodeExecutor("opencode-zen");
|
|
const result = await aliasExecutor.execute(createInput("deepseek-v4-flash-free"));
|
|
assert.equal(result.url, "https://opencode.ai/zen/v1/chat/completions");
|
|
assert.equal(fetchCalls[0].url, "https://opencode.ai/zen/v1/chat/completions");
|
|
});
|
|
|
|
it("routes deepseek-v4-flash-free to chat completions", async () => {
|
|
const result = await zenExecutor.execute(createInput("deepseek-v4-flash-free"));
|
|
assert.equal(result.url, "https://opencode.ai/zen/v1/chat/completions");
|
|
assert.equal(fetchCalls[0].url, "https://opencode.ai/zen/v1/chat/completions");
|
|
});
|
|
|
|
it("includes deepseek-v4-flash-free in opencode-zen PROVIDER_MODELS", () => {
|
|
const models = PROVIDER_MODELS["opencode-zen"];
|
|
const model = models?.find((m) => m.id === "deepseek-v4-flash-free");
|
|
assert.ok(model, "deepseek-v4-flash-free should be in opencode-zen model list");
|
|
assert.equal(model.name, "DeepSeek V4 Flash Free");
|
|
assert.equal(model.supportsReasoning, true);
|
|
});
|
|
it("routes opencode zen default models to chat completions", async () => {
|
|
const minimaxResult = await zenExecutor.execute(createInput("minimax-m2.5-free"));
|
|
assert.equal(minimaxResult.url, "https://opencode.ai/zen/v1/chat/completions");
|
|
assert.equal(fetchCalls[0].url, "https://opencode.ai/zen/v1/chat/completions");
|
|
|
|
const pickleResult = await zenExecutor.execute(createInput("big-pickle"));
|
|
assert.equal(pickleResult.url, "https://opencode.ai/zen/v1/chat/completions");
|
|
assert.equal(fetchCalls[1].url, "https://opencode.ai/zen/v1/chat/completions");
|
|
|
|
const nanoResult = await zenExecutor.execute(createInput("gpt-5-nano"));
|
|
assert.equal(nanoResult.url, "https://opencode.ai/zen/v1/chat/completions");
|
|
assert.equal(fetchCalls[2].url, "https://opencode.ai/zen/v1/chat/completions");
|
|
});
|
|
|
|
it("routes claude target format models to messages endpoint", async () => {
|
|
const m27Result = await goExecutor.execute(
|
|
createInput("minimax-m2.7", true, { apiKey: "claude-key" })
|
|
);
|
|
assert.equal(m27Result.url, "https://opencode.ai/zen/go/v1/messages");
|
|
assert.equal(fetchCalls[0].url, "https://opencode.ai/zen/go/v1/messages");
|
|
assert.equal(m27Result.headers["anthropic-version"], "2023-06-01");
|
|
|
|
const m25Result = await goExecutor.execute(
|
|
createInput("minimax-m2.5", true, { apiKey: "claude-key" })
|
|
);
|
|
assert.equal(m25Result.url, "https://opencode.ai/zen/go/v1/messages");
|
|
assert.equal(fetchCalls[1].url, "https://opencode.ai/zen/go/v1/messages");
|
|
assert.equal(m25Result.headers["anthropic-version"], "2023-06-01");
|
|
});
|
|
|
|
it("routes openai responses target format models to responses endpoint", async () => {
|
|
registerModel("opencode-zen", {
|
|
id: "gpt-5-responses",
|
|
name: "GPT 5 Responses",
|
|
targetFormat: "openai-responses",
|
|
});
|
|
|
|
const result = await zenExecutor.execute(createInput("gpt-5-responses"));
|
|
|
|
assert.equal(result.url, "https://opencode.ai/zen/v1/responses");
|
|
assert.equal(fetchCalls[0].url, "https://opencode.ai/zen/v1/responses");
|
|
});
|
|
|
|
it("routes gemini streaming requests to streamGenerateContent", async () => {
|
|
registerModel("opencode-zen", {
|
|
id: "gemini-2.5-pro",
|
|
name: "Gemini 2.5 Pro",
|
|
targetFormat: "gemini",
|
|
});
|
|
|
|
const result = await zenExecutor.execute(createInput("gemini-2.5-pro"));
|
|
|
|
assert.equal(
|
|
result.url,
|
|
"https://opencode.ai/zen/v1/models/gemini-2.5-pro:streamGenerateContent?alt=sse"
|
|
);
|
|
assert.equal(
|
|
fetchCalls[0].url,
|
|
"https://opencode.ai/zen/v1/models/gemini-2.5-pro:streamGenerateContent?alt=sse"
|
|
);
|
|
});
|
|
|
|
it("routes gemini non streaming requests to generateContent", async () => {
|
|
registerModel("opencode-zen", {
|
|
id: "gemini-2.5-pro",
|
|
name: "Gemini 2.5 Pro",
|
|
targetFormat: "gemini",
|
|
});
|
|
|
|
const result = await zenExecutor.execute(createInput("gemini-2.5-pro", false));
|
|
|
|
assert.equal(result.url, "https://opencode.ai/zen/v1/models/gemini-2.5-pro:generateContent");
|
|
assert.equal(
|
|
fetchCalls[0].url,
|
|
"https://opencode.ai/zen/v1/models/gemini-2.5-pro:generateContent"
|
|
);
|
|
});
|
|
|
|
it("falls back to chat completions for unknown models", async () => {
|
|
const result = await zenExecutor.execute(createInput("unknown-model"));
|
|
|
|
assert.equal(result.url, "https://opencode.ai/zen/v1/chat/completions");
|
|
assert.equal(fetchCalls[0].url, "https://opencode.ai/zen/v1/chat/completions");
|
|
});
|
|
|
|
it("builds default headers for standard models", async () => {
|
|
const result = await zenExecutor.execute(createInput("gpt-5-nano"));
|
|
|
|
assert.deepEqual(result.headers, {
|
|
Authorization: "Bearer test-key",
|
|
"Content-Type": "application/json",
|
|
Accept: "text/event-stream",
|
|
});
|
|
assert.deepEqual(fetchCalls[0].options.headers, result.headers);
|
|
});
|
|
|
|
it("adds anthropic version for claude target format", async () => {
|
|
const result = await goExecutor.execute(
|
|
createInput("minimax-m2.7", true, { apiKey: "claude-key" })
|
|
);
|
|
|
|
assert.deepEqual(result.headers, {
|
|
"x-api-key": "claude-key",
|
|
"Content-Type": "application/json",
|
|
"anthropic-version": "2023-06-01",
|
|
Accept: "text/event-stream",
|
|
});
|
|
assert.deepEqual(fetchCalls[0].options.headers, result.headers);
|
|
});
|
|
|
|
it("omits accept header when stream is false", async () => {
|
|
const result = await zenExecutor.execute(createInput("big-pickle", false));
|
|
|
|
assert.deepEqual(result.headers, {
|
|
Authorization: "Bearer test-key",
|
|
"Content-Type": "application/json",
|
|
});
|
|
assert.deepEqual(fetchCalls[0].options.headers, result.headers);
|
|
});
|
|
|
|
it("omits authorization when credentials are missing", async () => {
|
|
const result = await zenExecutor.execute(createInput("minimax-m2.5-free", true, null));
|
|
|
|
assert.deepEqual(result.headers, {
|
|
"Content-Type": "application/json",
|
|
Accept: "text/event-stream",
|
|
});
|
|
assert.deepEqual(fetchCalls[0].options.headers, result.headers);
|
|
});
|
|
|
|
it("routes opencode-go new models to chat completions", async () => {
|
|
// Register new models
|
|
registerModel("opencode-go", { id: "glm-5.1", name: "GLM-5.1", contextLength: 204800 });
|
|
registerModel("opencode-go", { id: "kimi-k2.6", name: "Kimi K2.6" });
|
|
registerModel("opencode-go", { id: "mimo-v2-pro", name: "MiMo V2 Pro" });
|
|
registerModel("opencode-go", { id: "mimo-v2-omni", name: "MiMo V2 Omni" });
|
|
registerModel("opencode-go", { id: "qwen3.6-plus", name: "Qwen 3.6 Plus" });
|
|
registerModel("opencode-go", { id: "qwen3.5-plus", name: "Qwen 3.5 Plus" });
|
|
|
|
// glm-5.1
|
|
const glm51 = await goExecutor.execute(createInput("glm-5.1"));
|
|
assert.equal(glm51.url, "https://opencode.ai/zen/go/v1/chat/completions");
|
|
|
|
// kimi-k2.6
|
|
const kimi26 = await goExecutor.execute(createInput("kimi-k2.6"));
|
|
assert.equal(kimi26.url, "https://opencode.ai/zen/go/v1/chat/completions");
|
|
|
|
// mimo-v2-pro
|
|
const mimoPro = await goExecutor.execute(createInput("mimo-v2-pro"));
|
|
assert.equal(mimoPro.url, "https://opencode.ai/zen/go/v1/chat/completions");
|
|
|
|
// mimo-v2-omni
|
|
const mimoOmni = await goExecutor.execute(createInput("mimo-v2-omni"));
|
|
assert.equal(mimoOmni.url, "https://opencode.ai/zen/go/v1/chat/completions");
|
|
|
|
// qwen3.6-plus
|
|
const qwen36 = await goExecutor.execute(createInput("qwen3.6-plus"));
|
|
assert.equal(qwen36.url, "https://opencode.ai/zen/go/v1/chat/completions");
|
|
|
|
// qwen3.5-plus
|
|
const qwen35 = await goExecutor.execute(createInput("qwen3.5-plus"));
|
|
assert.equal(qwen35.url, "https://opencode.ai/zen/go/v1/chat/completions");
|
|
});
|
|
|
|
it("builds bearer auth headers for opencode-go openai models", async () => {
|
|
registerModel("opencode-go", { id: "glm-5.1", name: "GLM-5.1" });
|
|
|
|
const result = await goExecutor.execute(createInput("glm-5.1"));
|
|
|
|
assert.deepEqual(result.headers, {
|
|
Authorization: "Bearer test-key",
|
|
"Content-Type": "application/json",
|
|
Accept: "text/event-stream",
|
|
});
|
|
assert.deepEqual(fetchCalls[0].options.headers, result.headers);
|
|
});
|
|
});
|
|
});
|