- Create separate test folder for opencoder agent with 4 tests - Update openagent tests to use multi-turn prompts for approval workflow - Fix test runner to properly handle expectedViolations with shouldViolate: true - Add mustUseAnyOf behavior expectation for flexible tool matching - Add unit tests for timeline-builder and context-loading-evaluator - Update documentation to reflect agent-specific test structure - Remove outdated AGENT_DETECTION_STATUS.md Opencoder tests: 4/4 passing Key insight: openagent uses text-based approval, opencoder uses tool permissions only
82 lines
2.7 KiB
TypeScript
82 lines
2.7 KiB
TypeScript
#!/usr/bin/env npx tsx
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/**
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* Verify timeline builder correctly captures tools from a real session
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*/
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import { createOpencodeClient } from '@opencode-ai/sdk';
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import { SessionReader } from './src/collector/session-reader.js';
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import { TimelineBuilder } from './src/collector/timeline-builder.js';
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const sessionId = process.argv[2];
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const baseUrl = process.argv[3] || 'http://127.0.0.1:3000';
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async function verify() {
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console.log(`Connecting to ${baseUrl}...`);
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const client = createOpencodeClient({ baseUrl });
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// Create reader with SDK client
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const reader = new SessionReader(client);
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const builder = new TimelineBuilder(reader);
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// Get session to test
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let targetSessionId = sessionId;
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if (!targetSessionId) {
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const sessions = await client.session.list();
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// Find a session with tools (our current conversation)
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targetSessionId = sessions.data?.find(s => s.title?.includes('Testing eval system'))?.id || sessions.data?.[0]?.id;
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}
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if (!targetSessionId) {
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console.log('No session found');
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return;
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}
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console.log(`\nTesting session: ${targetSessionId}`);
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// Get raw messages with parts
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console.log('\n=== Raw Data ===');
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const messagesWithParts = await reader.getMessagesWithParts(targetSessionId);
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console.log(`Messages: ${messagesWithParts.length}`);
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let rawToolCount = 0;
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const rawToolNames: string[] = [];
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for (const msg of messagesWithParts) {
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for (const part of msg.parts || []) {
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if (part.type === 'tool') {
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rawToolCount++;
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rawToolNames.push(part.tool);
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}
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}
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}
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console.log(`Tool parts in raw data: ${rawToolCount}`);
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if (rawToolNames.length > 0) {
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console.log(`Tools: ${[...new Set(rawToolNames)].join(', ')}`);
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}
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// Build timeline
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console.log('\n=== Timeline ===');
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const timeline = await builder.buildTimeline(targetSessionId);
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const toolCalls = timeline.filter(e => e.type === 'tool_call');
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console.log(`Total timeline events: ${timeline.length}`);
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console.log(`Tool call events: ${toolCalls.length}`);
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if (toolCalls.length > 0) {
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console.log('\nTool calls found:');
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toolCalls.slice(0, 10).forEach((tc, i) => {
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console.log(` ${i + 1}. ${tc.data?.tool}: ${JSON.stringify(tc.data?.state?.input || tc.data?.input || {}).substring(0, 100)}`);
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});
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}
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// Verify
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console.log('\n=== Verification ===');
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if (rawToolCount === toolCalls.length) {
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console.log(`✅ SUCCESS: Raw data has ${rawToolCount} tools, timeline has ${toolCalls.length} tool_call events`);
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} else {
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console.log(`❌ MISMATCH: Raw data has ${rawToolCount} tools, timeline has ${toolCalls.length} tool_call events`);
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}
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}
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verify().catch(console.error);
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