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* fix(codebuddy-cn): replace agent system prompts to bypass Tencent content filter Tencent's content filter flags CLI agent system prompts (e.g. 'You are Claude Code, Anthropic's official CLI...') as prompt injection / sensitive content and rejects the entire request with error: 抱歉,系统检测到您当前输入的信息存在敏感内容,我无法响应您的请求 This patch adds detection and replacement logic to the CodeBuddyCnExecutor: - Regex-based identity marker detection (Claude Code, Cursor, Windsurf, Cline, Aider, Copilot, Cody, etc.) + length catch-all (>2000 chars) - Handles both top-level 'system' field (Anthropic format) and messages array with role:'system' (OpenAI format) - Preserves original content shape (string vs typed content blocks) - Strips oversized tool descriptions (>64KB) that can also trigger the filter - Replaces with neutral prompt, leaving legitimate user prompts untouched Based on approach from rafilajhh/9router commit 7f7d7ce. * test(codebuddy-cn): add regression coverage for system prompt replacement Co-authored-by: diegosouzapw <8016841+diegosouzapw@users.noreply.github.com> --------- Co-authored-by: diegosouzapw <diegosouzapw@users.noreply.github.com> Co-authored-by: diegosouzapw <8016841+diegosouzapw@users.noreply.github.com>
100 lines
3.3 KiB
TypeScript
100 lines
3.3 KiB
TypeScript
// #2071 — CodeBuddy forced reasoning_effort:"medium" + reasoning_summary:"auto"
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// on requests where the client never asked for reasoning, tripping CodeBuddy's
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// content filter ("model return error"). Reasoning params must be opt-in.
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import { describe, it } from "node:test";
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import assert from "node:assert/strict";
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import { CodeBuddyCnExecutor } from "../../open-sse/executors/codebuddy-cn.ts";
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describe("CodeBuddyCnExecutor reasoning params are opt-in (#2071)", () => {
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const exec = new CodeBuddyCnExecutor();
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it("does NOT force reasoning when the client did not request it", () => {
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const out = exec.transformRequest(
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"glm-5.2",
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{ messages: [{ role: "user", content: "hi" }] },
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false,
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{}
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) as Record<string, unknown>;
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assert.equal(out.reasoning_effort, undefined);
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assert.equal(out.reasoning_summary, undefined);
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});
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it("mirrors reasoning_summary:auto when the client explicitly requested reasoning", () => {
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const out = exec.transformRequest(
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"glm-5.2",
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{ messages: [{ role: "user", content: "hi" }], reasoning_effort: "high" },
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false,
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{}
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) as Record<string, unknown>;
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assert.equal(out.reasoning_effort, "high");
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assert.equal(out.reasoning_summary, "auto");
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});
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it("omits reasoning_effort for none/off and adds no reasoning_summary", () => {
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const out = exec.transformRequest(
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"glm-5.2",
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{ messages: [{ role: "user", content: "hi" }], reasoning_effort: "none" },
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false,
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{}
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) as Record<string, unknown>;
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assert.equal(out.reasoning_effort, undefined);
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assert.equal(out.reasoning_summary, undefined);
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});
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it("replaces agent system prompts in top-level system field", () => {
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const out = exec.transformRequest(
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"glm-5.2",
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{
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system: "You are Claude Code, Anthropic's official CLI for software engineering",
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messages: [{ role: "user", content: "check this" }],
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},
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false,
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{}
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) as Record<string, unknown>;
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assert.equal(
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out.system,
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"You are a helpful AI assistant that helps with software engineering tasks.",
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);
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});
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it("preserves non-agent system prompts in top-level system field", () => {
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const out = exec.transformRequest(
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"glm-5.2",
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{
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system: "You are a helpful coding tutor for beginner developers.",
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messages: [{ role: "user", content: "check this" }],
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},
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false,
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{}
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) as Record<string, unknown>;
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assert.equal(out.system, "You are a helpful coding tutor for beginner developers.");
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});
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it("replaces agent system prompts in messages array preserving typed content shape", () => {
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const out = exec.transformRequest(
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"glm-5.2",
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{
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messages: [
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{
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role: "system",
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content: [{ type: "text", text: "You are Cursor, an AI coding agent" }],
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},
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{ role: "user", content: "Hello" },
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],
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},
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false,
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{}
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) as Record<string, unknown>;
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const msgs = out.messages as Array<{ role: string; content?: unknown }>;
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const system = msgs.find((m) => m.role === "system");
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assert.deepEqual(system, {
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role: "system",
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content: [{ type: "text", text: "You are a helpful AI assistant that helps with software engineering tasks." }],
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});
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assert.equal(system && (system as { content?: unknown }).content, msgs[0].content);
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});
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});
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