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AutoReview: - 审查器回到 Codex Guardian 风格的对话式审查,默认跟随会话当前主模型 (每次审查实时读取 ctx.model);provider/model 必须同时设置才固定审查 模型,只设其一视为配置错误并转人工。 - 结论只通过 approve / reject 两个工具给出,参数仅 reason;不强制 toolChoice,正文文本(即使是合法 JSON)一律忽略。 - approve 自动放行;reject 转人工并在弹窗显示理由(标注模型生成)。 超时、Provider 错误、截断、未调用工具、多次调用、参数无效等异常同样 转人工,并附固定的系统说明;用户按 Esc 中止时直接拒绝。 - 模型调用改为 modelRegistry.streamSimple(...).result():Pi 1.3.0 面向 扩展的 ModelRegistry 没有 completeSimple,原写法在真实环境中每次都会 转人工。 - 对话记录保留可信度标注;工具结果在有更短的 pi-compaction 摘要时替换 为摘要;token 估算改为非 ASCII 字符按 1 token 计;预算可配置。 - 同一条用户消息内完全相同的请求只缓存 approve 结论。 - 默认 reasoning low、总超时 30 秒、最多 2 次尝试、maxOutputTokens 4000。 删除: - 未发布过的 TypeSafe Jev 分类器实现、DenialCircuitBreaker。 - 整个 annotator 机制(model-explanation、注册表、registerAnnotator、 provider-timeout);annotators 配置键保留为已弃用并忽略,避免旧配置 被拒绝。 测试: - 新增 reviewer / transcript / 弹窗说明 / 默认配置测试;清理重复、恒真 或只测实现细节的旧测试。 - 使用 deepseek-v4.1-flash 实测 5 个场景各 5 次,25 次结论全部符合预期。 Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
155 lines
5.2 KiB
TypeScript
155 lines
5.2 KiB
TypeScript
import { describe, expect, it, vi } from "vitest";
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import { describeSkillReadGate } from "#src/handlers/gates/skill-read";
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import type { ToolCallContext } from "#src/handlers/gates/types";
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import { posixPathFlavor } from "#src/path/path-flavor";
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import { PathNormalizer } from "#src/path-normalizer";
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import type { SkillPromptEntry } from "#src/skill-prompt-sanitizer";
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// All test tccs use cwd "/test/project"; one normalizer serves every call.
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const normalizer = new PathNormalizer(posixPathFlavor, "/test/project");
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// ── SDK stubs ──────────────────────────────────────────────────────────────
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vi.mock("@earendil-works/pi-coding-agent", async (importOriginal) => {
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const original =
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await importOriginal<typeof import("@earendil-works/pi-coding-agent")>();
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return { ...original };
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});
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// ── helpers ────────────────────────────────────────────────────────────────
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function makeSkillEntry(
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overrides: Partial<SkillPromptEntry> = {},
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): SkillPromptEntry {
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return {
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name: "librarian",
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description: "Research skills",
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location: "/skills/librarian/SKILL.md",
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state: "ask",
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normalizedLocation: "/skills/librarian/SKILL.md",
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normalizedBaseDir: "/skills/librarian",
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...overrides,
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};
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}
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function makeTcc(overrides: Partial<ToolCallContext> = {}): ToolCallContext {
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return {
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toolName: "read",
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agentName: null,
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input: { path: "/skills/librarian/SKILL.md" },
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toolCallId: "tc-1",
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cwd: "/test/project",
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...overrides,
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};
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}
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// ── tests ──────────────────────────────────────────────────────────────────
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describe("describeSkillReadGate", () => {
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it("returns null when tool is not read", () => {
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const result = describeSkillReadGate(
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makeTcc({ toolName: "write" }),
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normalizer,
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() => [makeSkillEntry()],
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);
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expect(result).toBeNull();
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});
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it("returns null when no active skill entries", () => {
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const result = describeSkillReadGate(makeTcc(), normalizer, () => []);
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expect(result).toBeNull();
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});
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it("returns null when read path does not match any skill", () => {
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const result = describeSkillReadGate(
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makeTcc({ input: { path: "/test/project/src/index.ts" } }),
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normalizer,
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() => [makeSkillEntry()],
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);
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expect(result).toBeNull();
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});
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it("returns null when input has no path", () => {
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const result = describeSkillReadGate(
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makeTcc({ input: {} }),
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normalizer,
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() => [makeSkillEntry()],
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);
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expect(result).toBeNull();
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});
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it.each(["ask", "allow", "deny"] as const)(
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"returns GateDescriptor with preResolved.state matching skill entry state (%s)",
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(state) => {
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const result = describeSkillReadGate(makeTcc(), normalizer, () => [
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makeSkillEntry({ state }),
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]);
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expect(result).not.toBeNull();
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const desc = result!;
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expect(desc.preResolved).toEqual({ state });
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},
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);
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it("decision surface is 'skill' and decision value is the skill name", () => {
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const result = describeSkillReadGate(makeTcc(), normalizer, () => [
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makeSkillEntry({ name: "my-skill" }),
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])!;
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expect(result.decision.surface).toBe("skill");
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expect(result.decision.value).toBe("my-skill");
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});
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it("carries the skill name as single-value access facts on promptDetails", () => {
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const result = describeSkillReadGate(makeTcc(), normalizer, () => [
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makeSkillEntry({ name: "my-skill" }),
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])!;
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expect(result.promptDetails.accessIntent).toEqual({
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surface: "skill",
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matchValues: ["my-skill"],
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boundaryValue: null,
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});
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});
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it("payload contains the skill name and the path it was reached through", () => {
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const result = describeSkillReadGate(makeTcc(), normalizer, () => [
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makeSkillEntry({ name: "librarian" }),
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])!;
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expect(result.payload.kind).toBe("skill_read");
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expect(result.payload.request.value).toBe("librarian");
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expect(result.payload.request.requester.agentName).toBeNull();
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expect(result.payload.evidence).toEqual([
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{
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label: "read path",
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text: "/skills/librarian/SKILL.md",
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detail: null,
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},
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]);
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});
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it("promptDetails includes skill_read source and skillName", () => {
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const result = describeSkillReadGate(
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makeTcc({ agentName: "test-agent", toolCallId: "tc-42" }),
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normalizer,
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() => [makeSkillEntry({ name: "my-skill" })],
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)!;
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expect(result.promptDetails).toMatchObject({
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source: "skill_read",
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agentName: "test-agent",
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toolCallId: "tc-42",
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toolName: "read",
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skillName: "my-skill",
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});
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});
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it("logContext includes skill_read source and skillName", () => {
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const result = describeSkillReadGate(
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makeTcc({ agentName: "agent-1" }),
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normalizer,
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() => [makeSkillEntry({ name: "librarian" })],
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)!;
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expect(result.logContext).toMatchObject({
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source: "skill_read",
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skillName: "librarian",
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agentName: "agent-1",
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});
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});
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});
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