import { beforeEach, describe, it } from "node:test"; import assert from "node:assert/strict"; const { OpencodeExecutor } = await import("../../open-sse/executors/opencode.ts"); const { getModelTargetFormat } = await import("../../open-sse/config/providerModels.ts"); function setRequestFormat(executor, provider, model, overrideFormat) { executor._requestFormat = overrideFormat ?? getModelTargetFormat(provider, model); } describe("OpencodeExecutor", () => { let zenExecutor; let goExecutor; beforeEach(() => { zenExecutor = new OpencodeExecutor("opencode-zen"); goExecutor = new OpencodeExecutor("opencode-go"); }); describe("buildUrl", () => { it("returns chat completions for opencode zen default models", () => { setRequestFormat(zenExecutor, "opencode-zen", "minimax-m2.5-free"); assert.equal( zenExecutor.buildUrl("minimax-m2.5-free", true), "https://opencode.ai/zen/v1/chat/completions" ); setRequestFormat(zenExecutor, "opencode-zen", "big-pickle"); assert.equal( zenExecutor.buildUrl("big-pickle", true), "https://opencode.ai/zen/v1/chat/completions" ); setRequestFormat(zenExecutor, "opencode-zen", "gpt-5-nano"); assert.equal( zenExecutor.buildUrl("gpt-5-nano", true), "https://opencode.ai/zen/v1/chat/completions" ); }); it("returns messages endpoint for claude target format models", () => { setRequestFormat(goExecutor, "opencode-go", "minimax-m2.7"); assert.equal( goExecutor.buildUrl("minimax-m2.7", true), "https://opencode.ai/zen/go/v1/messages" ); setRequestFormat(goExecutor, "opencode-go", "minimax-m2.5"); assert.equal( goExecutor.buildUrl("minimax-m2.5", true), "https://opencode.ai/zen/go/v1/messages" ); }); it("returns responses endpoint for openai responses target format", () => { setRequestFormat(zenExecutor, "opencode-zen", "gpt-5-nano", "openai-responses"); assert.equal( zenExecutor.buildUrl("gpt-5-nano", true), "https://opencode.ai/zen/v1/responses" ); }); it("returns gemini streaming endpoint when stream is true", () => { setRequestFormat(zenExecutor, "opencode-zen", "gemini-2.5-pro", "gemini"); assert.equal( zenExecutor.buildUrl("gemini-2.5-pro", true), "https://opencode.ai/zen/v1/models/gemini-2.5-pro:streamGenerateContent?alt=sse" ); }); it("returns gemini non streaming endpoint when stream is false", () => { setRequestFormat(zenExecutor, "opencode-zen", "gemini-2.5-pro", "gemini"); assert.equal( zenExecutor.buildUrl("gemini-2.5-pro", false), "https://opencode.ai/zen/v1/models/gemini-2.5-pro:generateContent" ); }); it("falls back to chat completions for unknown models", () => { setRequestFormat(zenExecutor, "opencode-zen", "unknown-model"); assert.equal( zenExecutor.buildUrl("unknown-model", true), "https://opencode.ai/zen/v1/chat/completions" ); }); }); describe("buildHeaders", () => { it("builds default headers for standard models", () => { setRequestFormat(zenExecutor, "opencode-zen", "gpt-5-nano"); assert.deepEqual(zenExecutor.buildHeaders({ apiKey: "test-key" }), { Authorization: "Bearer test-key", "Content-Type": "application/json", Accept: "text/event-stream", }); }); it("adds anthropic version for claude target format", () => { setRequestFormat(goExecutor, "opencode-go", "minimax-m2.7"); assert.deepEqual(goExecutor.buildHeaders({ apiKey: "claude-key" }), { Authorization: "Bearer claude-key", "Content-Type": "application/json", "anthropic-version": "2023-06-01", Accept: "text/event-stream", }); }); it("omits accept header when stream is false", () => { setRequestFormat(zenExecutor, "opencode-zen", "big-pickle"); assert.deepEqual(zenExecutor.buildHeaders({ apiKey: "test-key" }, false), { Authorization: "Bearer test-key", "Content-Type": "application/json", }); }); it("omits authorization when credentials are missing", () => { setRequestFormat(zenExecutor, "opencode-zen", "minimax-m2.5-free"); assert.deepEqual(zenExecutor.buildHeaders(null), { "Content-Type": "application/json", Accept: "text/event-stream", }); }); }); });