/** * Unit tests for open-sse/translator/response/commandcode-to-openai.js * * Verified live against upstream stream (curl, 2026-05-07): * - tool-input-start: { id, toolName } (id, NOT toolCallId) * - tool-input-delta: { id, delta } (id, NOT toolCallId; delta, NOT inputTextDelta) * - tool-input-end: { id } * - tool-call (final): { toolCallId, toolName, input } */ import { describe, it, expect } from "vitest"; import { convertCommandCodeToOpenAI } from "../../open-sse/translator/response/commandcode-to-openai.js"; function feed(events) { const state = {}; const all = []; for (const e of events) { const out = convertCommandCodeToOpenAI(JSON.stringify(e), state); if (out) for (const c of out) all.push(c); } return { state, chunks: all }; } describe("commandcode-to-openai — text-delta", () => { it("emits assistant role on first delta then content-only", () => { const { chunks } = feed([ { type: "text-delta", text: "Hello" }, { type: "text-delta", text: " world" }, ]); expect(chunks[0].choices[0].delta.role).toBe("assistant"); expect(chunks[0].choices[0].delta.content).toBe("Hello"); expect(chunks[1].choices[0].delta.role).toBeUndefined(); expect(chunks[1].choices[0].delta.content).toBe(" world"); }); }); describe("commandcode-to-openai — reasoning-delta", () => { it("maps reasoning-delta to reasoning_content delta", () => { const { chunks } = feed([ { type: "reasoning-delta", text: "thinking..." }, ]); expect(chunks[0].choices[0].delta.reasoning_content).toBe("thinking..."); }); }); describe("commandcode-to-openai — tool-input-* with id field (live schema)", () => { it("registers tool index using event.id (NOT toolCallId)", () => { const { chunks } = feed([ { type: "tool-input-start", id: "call_X", toolName: "Bash" }, { type: "tool-input-delta", id: "call_X", delta: "{\"cmd" }, { type: "tool-input-delta", id: "call_X", delta: "\":\"ls\"}" }, ]); // First chunk emits tool_calls with id const startChunk = chunks[0].choices[0].delta.tool_calls[0]; expect(startChunk.id).toBe("call_X"); expect(startChunk.function.name).toBe("Bash"); // Subsequent deltas accumulate arguments expect(chunks[1].choices[0].delta.tool_calls[0].function.arguments).toBe("{\"cmd"); expect(chunks[2].choices[0].delta.tool_calls[0].function.arguments).toBe("\":\"ls\"}"); }); it("ignores tool-input-delta when id is unknown (no prior start)", () => { const { chunks } = feed([ { type: "tool-input-delta", id: "unknown", delta: "x" }, ]); expect(chunks.length).toBe(0); }); }); describe("commandcode-to-openai — final tool-call event", () => { it("does NOT re-emit tool_calls when tool-input-* deltas already fired", () => { const { chunks } = feed([ { type: "tool-input-start", id: "call_Y", toolName: "Write" }, { type: "tool-input-delta", id: "call_Y", delta: "{\"file\":\"a\"}" }, { type: "tool-call", toolCallId: "call_Y", toolName: "Write", input: { file: "a" } }, ]); // Should be exactly 2 chunks (start + delta), no duplicate from final tool-call expect(chunks.length).toBe(2); }); it("emits a consolidated tool_calls when only the final tool-call event arrives", () => { const { chunks } = feed([ { type: "tool-call", toolCallId: "call_Z", toolName: "Read", input: { path: "/x" } }, ]); expect(chunks.length).toBe(1); const tc = chunks[0].choices[0].delta.tool_calls[0]; expect(tc.id).toBe("call_Z"); expect(tc.function.name).toBe("Read"); expect(tc.function.arguments).toBe(JSON.stringify({ path: "/x" })); }); }); describe("commandcode-to-openai — finish", () => { it("emits a final chunk with finish_reason=tool_calls when finishReason is tool-calls", () => { const { chunks } = feed([ { type: "tool-input-start", id: "call_F", toolName: "Bash" }, { type: "tool-input-delta", id: "call_F", delta: "{}" }, { type: "finish-step", finishReason: "tool-calls" }, { type: "finish" }, ]); const last = chunks[chunks.length - 1]; expect(last.choices[0].finish_reason).toBe("tool_calls"); }); it("includes usage on the final chunk when totalUsage provided", () => { const { chunks } = feed([ { type: "text-delta", text: "hi" }, { type: "finish-step", finishReason: "stop", usage: { inputTokens: 10, outputTokens: 5, totalTokens: 15 } }, { type: "finish", totalUsage: { inputTokens: 10, outputTokens: 5, totalTokens: 15 } }, ]); const last = chunks[chunks.length - 1]; expect(last.usage).toEqual({ prompt_tokens: 10, completion_tokens: 5, total_tokens: 15 }); }); }); describe("commandcode-to-openai — error event", () => { it("stringifies object errors so client sees readable message", () => { const { chunks } = feed([ { type: "error", error: { type: "server_error", message: "Boom" } }, ]); const text = chunks[0].choices[0].delta.content; expect(text).toContain("Boom"); expect(text).not.toContain("[object Object]"); }); });