/** * Unit tests for reasoningContentInjector (issue #1543). * * DeepSeek V4 thinking mode rejects follow-up requests whose assistant * messages omit `reasoning_content` ("The `reasoning_content` in the thinking * mode must be passed back to the API."). OpenAI-format clients strip it, so * the injector echoes a placeholder back. These tests lock that behavior and * guard that the OpenCode executor (which routes deepseek-v4-flash-free) * actually runs the injector. */ import { describe, it, expect } from "vitest"; import { injectReasoningContent } from "../../open-sse/utils/reasoningContentInjector.js"; import { OpenCodeExecutor } from "../../open-sse/executors/opencode.js"; const assistantWithToolCall = { role: "assistant", content: "", tool_calls: [{ id: "call_x", type: "function", function: { name: "get_weather", arguments: "{}" } }], }; function bodyWith(messages) { return { model: "deepseek-v4-flash", messages, reasoning_effort: "medium" }; } describe("injectReasoningContent — DeepSeek thinking round-trip", () => { it("injects reasoning_content on a deepseek- assistant message that lacks it", () => { const out = injectReasoningContent({ provider: "opencode", model: "deepseek-v4-flash-free", body: bodyWith([{ role: "user", content: "hi" }, assistantWithToolCall]), }); const assistant = out.messages.find((m) => m.role === "assistant"); expect(typeof assistant.reasoning_content).toBe("string"); expect(assistant.reasoning_content.length).toBeGreaterThan(0); }); it("preserves an existing reasoning_content instead of overwriting it", () => { const original = "model's real chain of thought"; const out = injectReasoningContent({ provider: "opencode", model: "deepseek-v4-flash-free", body: bodyWith([{ ...assistantWithToolCall, reasoning_content: original }]), }); expect(out.messages[0].reasoning_content).toBe(original); }); it("applies provider-level rule for provider 'deepseek' (scope all)", () => { const out = injectReasoningContent({ provider: "deepseek", model: "deepseek-chat", body: bodyWith([{ role: "assistant", content: "answer" }]), }); expect(out.messages[0].reasoning_content).toBeDefined(); }); it("matches deepseek model id case-insensitively for custom providers (#1543)", () => { const out = injectReasoningContent({ provider: "openai-compatible-custom", model: "DeepSeek-V4-Flash", body: bodyWith([assistantWithToolCall]), }); expect(out.messages[0].reasoning_content).toBeDefined(); }); it("does not touch non-deepseek providers/models", () => { const out = injectReasoningContent({ provider: "openai", model: "gpt-5.5", body: bodyWith([{ role: "assistant", content: "answer" }]), }); expect(out.messages[0].reasoning_content).toBeUndefined(); }); it("maps deepseek-v4-pro-none alias to disabled thinking and strips reasoning_effort", () => { const out = injectReasoningContent({ provider: "deepseek", model: "deepseek-v4-pro-none", body: bodyWith([{ role: "user", content: "hi" }]), }); expect(out.model).toBe("deepseek-v4-pro"); expect(out.extra_body.thinking.type).toBe("disabled"); expect(out.reasoning_effort).toBeUndefined(); }); }); describe("injectReasoningContent — MiniMax thinking round-trip", () => { const minimaxAssistantMsg = { role: "assistant", content: "here is a response", reasoning_content: "" }; const minimaxAssistantWithToolCall = { role: "assistant", content: "", tool_calls: [{ id: "call_x", type: "function", function: { name: "get_weather", arguments: "{}" } }], reasoning_content: "", }; it("injects reasoning_content on a minimax assistant message that lacks it", () => { const out = injectReasoningContent({ provider: "minimax", model: "MiniMax-M2.7", body: bodyWith([{ role: "user", content: "hi" }, minimaxAssistantMsg]), }); const assistant = out.messages.find((m) => m.role === "assistant"); expect(typeof assistant.reasoning_content).toBe("string"); expect(assistant.reasoning_content.length).toBeGreaterThan(0); }); it("injects reasoning_content on minimax assistant message with tool_calls but no reasoning_content", () => { const out = injectReasoningContent({ provider: "minimax", model: "MiniMax-M2.7", body: bodyWith([{ role: "user", content: "hi" }, minimaxAssistantWithToolCall]), }); const assistant = out.messages.find((m) => m.role === "assistant"); expect(typeof assistant.reasoning_content).toBe("string"); expect(assistant.reasoning_content.length).toBeGreaterThan(0); }); it("applies provider-level rule for provider 'minimax-cn' (scope all)", () => { const out = injectReasoningContent({ provider: "minimax-cn", model: "MiniMax-M2.5", body: bodyWith([{ role: "assistant", content: "answer" }]), }); expect(out.messages[0].reasoning_content).toBeDefined(); }); it("preserves an existing reasoning_content on minimax instead of overwriting", () => { const original = "MiniMax chain of thought reasoning"; const out = injectReasoningContent({ provider: "minimax", model: "MiniMax-M2.7", body: bodyWith([{ ...minimaxAssistantMsg, reasoning_content: original }]), }); expect(out.messages[0].reasoning_content).toBe(original); }); it("DefaultExecutor transformRequest runs the injector for minimax", () => { const { DefaultExecutor } = require("../../open-sse/executors/default.js"); const executor = new DefaultExecutor("minimax"); const out = executor.transformRequest( "MiniMax-M2.7", bodyWith([{ role: "user", content: "hi" }, minimaxAssistantMsg]), ); const assistant = out.messages.find((m) => m.role === "assistant"); expect(typeof assistant.reasoning_content).toBe("string"); expect(assistant.reasoning_content.length).toBeGreaterThan(0); }); }); describe("OpenCodeExecutor — issue #1543 regression", () => { it("runs the injector so deepseek-v4-flash-free round-trips reasoning_content", () => { const executor = new OpenCodeExecutor(); const out = executor.transformRequest( "deepseek-v4-flash-free", bodyWith([{ role: "user", content: "hi" }, assistantWithToolCall]), ); const assistant = out.messages.find((m) => m.role === "assistant"); expect(assistant.reasoning_content).toBeDefined(); }); });