Files
mcpctl/src/mcplocal/tests/system-prompt-fetching.test.ts
Michal 5d859ca7d8 feat: audit console TUI, system prompt management, and CLI improvements
Audit Console Phase 1: tool_call_trace emission from mcplocal router,
session_bind/rbac_decision event kinds, GET /audit/sessions endpoint,
full Ink TUI with session sidebar, event timeline, and detail view
(mcpctl console --audit).

System prompts: move 6 hardcoded LLM prompts to mcpctl-system project
with extensible ResourceRuleRegistry validation framework, template
variable enforcement ({{maxTokens}}, {{pageCount}}), and delete-resets-
to-default behavior. All consumers fetch via SystemPromptFetcher with
hardcoded fallbacks.

CLI: -p shorthand for --project across get/create/delete/config commands,
console auto-scroll improvements, shell completions regenerated.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 23:50:54 +00:00

161 lines
5.2 KiB
TypeScript

import { describe, it, expect, vi } from 'vitest';
import type { StageContext, LLMProvider, CacheProvider, StageLogger, SystemPromptFetcher } from '../src/proxymodel/types.js';
import paginate from '../src/proxymodel/stages/paginate.js';
import summarizeTree from '../src/proxymodel/stages/summarize-tree.js';
function mockCtx(
original: string,
config: Record<string, unknown> = {},
opts: { llmAvailable?: boolean; getSystemPrompt?: SystemPromptFetcher } = {},
): StageContext {
const mockLlm: LLMProvider = {
async complete(prompt) {
// For paginate: return JSON array of titles
if (prompt.includes('short descriptive titles') || prompt.includes('JSON array')) {
return '["Title A", "Title B"]';
}
// For summarize: return a summary
return `Summary of: ${prompt.slice(0, 40)}...`;
},
available: () => opts.llmAvailable ?? false,
};
const cache = new Map<string, string>();
const mockCache: CacheProvider = {
async getOrCompute(key, compute) {
if (cache.has(key)) return cache.get(key)!;
const val = await compute();
cache.set(key, val);
return val;
},
hash(content) { return content.slice(0, 8); },
async get(key) { return cache.get(key) ?? null; },
async set(key, value) { cache.set(key, value); },
};
const mockLog: StageLogger = {
debug: vi.fn(),
info: vi.fn(),
warn: vi.fn(),
error: vi.fn(),
};
return {
contentType: 'toolResult',
sourceName: 'test/tool',
projectName: 'test',
sessionId: 'sess-1',
originalContent: original,
llm: mockLlm,
cache: mockCache,
log: mockLog,
getSystemPrompt: opts.getSystemPrompt ?? (async (_name, fallback) => fallback),
config,
};
}
describe('System prompt fetching in stages', () => {
describe('paginate stage', () => {
it('uses getSystemPrompt to fetch paginate-titles prompt', async () => {
const fetchSpy = vi.fn(async (_name: string, fallback: string) => fallback);
const content = 'A'.repeat(9000); // Larger than default pageSize (8000)
const ctx = mockCtx(content, {}, { llmAvailable: true, getSystemPrompt: fetchSpy });
await paginate(content, ctx);
expect(fetchSpy).toHaveBeenCalledWith(
'llm-paginate-titles',
expect.stringContaining('{{pageCount}}'),
);
});
it('falls back to hardcoded default when fetcher returns fallback', async () => {
const content = 'B'.repeat(9000);
const ctx = mockCtx(content, {}, { llmAvailable: true });
const result = await paginate(content, ctx);
// Should still produce paginated output (uses default prompt)
expect(result.content).toContain('pages');
});
it('interpolates {{pageCount}} in the fetched template', async () => {
let capturedPrompt = '';
const customFetcher: SystemPromptFetcher = async (name, fallback) => {
if (name === 'llm-paginate-titles') {
return 'Custom: generate {{pageCount}} titles please';
}
return fallback;
};
const mockLlm: LLMProvider = {
async complete(prompt) {
capturedPrompt = prompt;
return '["A", "B"]';
},
available: () => true,
};
const content = 'C'.repeat(9000);
const ctx = mockCtx(content, {}, { llmAvailable: true, getSystemPrompt: customFetcher });
// Override llm to capture the prompt
(ctx as { llm: LLMProvider }).llm = mockLlm;
await paginate(content, ctx);
expect(capturedPrompt).toContain('Custom: generate 2 titles please');
expect(capturedPrompt).not.toContain('{{pageCount}}');
});
});
describe('summarize-tree stage', () => {
it('uses getSystemPrompt to fetch llm-summarize prompt', async () => {
const fetchSpy = vi.fn(async (_name: string, fallback: string) => fallback);
// Need prose content > 2000 chars with headers to trigger LLM summary
const sections = [
'# Section 1\n' + 'Word '.repeat(500),
'# Section 2\n' + 'Text '.repeat(500),
].join('\n\n');
const ctx = mockCtx(sections, {}, { llmAvailable: true, getSystemPrompt: fetchSpy });
await summarizeTree(sections, ctx);
expect(fetchSpy).toHaveBeenCalledWith(
'llm-summarize',
expect.stringContaining('{{maxTokens}}'),
);
});
it('interpolates {{maxTokens}} in the fetched template', async () => {
let capturedPrompt = '';
const customFetcher: SystemPromptFetcher = async (name, fallback) => {
if (name === 'llm-summarize') {
return 'Custom summary in {{maxTokens}} tokens max';
}
return fallback;
};
const mockLlm: LLMProvider = {
async complete(prompt) {
capturedPrompt = prompt;
return 'A brief summary';
},
available: () => true,
};
const sections = [
'# Part A\n' + 'Content '.repeat(500),
'# Part B\n' + 'More '.repeat(500),
].join('\n\n');
const ctx = mockCtx(sections, {}, { llmAvailable: true, getSystemPrompt: customFetcher });
(ctx as { llm: LLMProvider }).llm = mockLlm;
await summarizeTree(sections, ctx);
expect(capturedPrompt).toContain('Custom summary in 200 tokens max');
expect(capturedPrompt).not.toContain('{{maxTokens}}');
});
});
});