const http = require('http'); const fs = require('fs'); const path = require('path'); const crypto = require('crypto'); const { spawn } = require('child_process'); const PORT = 8012; const MODEL_ID = 'hindsight-llm'; const TIMEOUT_MS = 5 * 60 * 1000; // one-shot structured calls; generous but bounded // Bounded parallelism: SPIKE-FINDINGS.md gate 5 flagged the Kimi subscription as a // single-seat, interactive-oriented plan — batch cognify must not hammer it with // unbounded concurrent CLI spawns (rate-limit/throttle risk on a shared live account). const MAX_CONCURRENCY = 3; const WORKSPACE = '/workspace'; fs.mkdirSync(WORKSPACE, { recursive: true }); // The CLI has no raw sampling-temperature knob (it's an agent loop, not a // completions API) — "low temperature" for structured extraction is enforced // via an instruction preamble instead, prepended to whatever system prompt // the caller (Cognee) supplies. const STRUCTURED_SYSTEM_PREAMBLE = [ 'You are a stateless structured-extraction engine.', 'This is a one-shot call with no memory of prior calls: do not reference earlier turns.', 'Respond deterministically and concisely. When asked for JSON, output raw JSON only', '- no prose, no markdown code fences, no commentary before or after.', ].join(' '); // --- message helpers --------------------------------------------------------- // Text only, no media parts: this wrapper's policy is no-media/no-MCP, unlike // adolf-llm which persists inbound images and lets the CLI's ReadMediaFile // tool read them. function textOf(msg) { const c = msg.content; if (Array.isArray(c)) return c.map(p => (typeof p.text === 'string' ? p.text : '')).join('\n'); return c == null ? '' : String(c); } function buildPrompt(messages) { const systemParts = messages.filter(m => m.role === 'system').map(textOf); const rest = messages.filter(m => m.role !== 'system'); const preamble = [STRUCTURED_SYSTEM_PREAMBLE, ...systemParts].join('\n\n'); const transcript = rest .map(m => `${m.role === 'assistant' ? 'Assistant' : 'User'}: ${textOf(m)}`) .join('\n\n'); return `${preamble}\n\n${transcript}`.trim(); } // --- bounded concurrency queue ----------------------------------------------- let active = 0; const queue = []; function drain() { if (queue.length && active < MAX_CONCURRENCY) queue.shift()(); } function withSlot(fn) { return new Promise((resolve, reject) => { const run = () => { active++; fn().then( v => { active--; drain(); resolve(v); }, e => { active--; drain(); reject(e); }, ); }; if (active < MAX_CONCURRENCY) run(); else queue.push(run); }); } // --- kimi invocation: stateless one-shot, no resume -------------------------- // Fresh temp dir per call, NO -r/-S session flag, discard the dir after. // Returns the assembled text from --output-format stream-json: // {"role":"assistant","content":"..."} // (reuses the same parse core as kimi-agent/server.js's runKimi, minus the // resume/session-id bookkeeping that wrapper needs and this one deliberately // does not). function runKimi({ prompt, cwd }) { return new Promise((resolve, reject) => { const args = ['-p', prompt, '--output-format', 'stream-json']; const child = spawn('kimi', args, { cwd, timeout: TIMEOUT_MS }); let stdout = ''; let stderr = ''; child.stdout.on('data', d => { stdout += d; }); child.stderr.on('data', d => { stderr += d; }); child.on('error', reject); child.on('close', code => { const parts = []; for (const line of stdout.split('\n')) { const t = line.trim(); if (!t) continue; let obj; try { obj = JSON.parse(t); } catch { continue; } if (obj.role === 'assistant' && obj.content) parts.push(obj.content); } const text = parts.join('').trim(); if (!text && code !== 0) { reject(new Error(`kimi exited ${code}: ${stderr.slice(0, 2000)}`)); } else { resolve(text); } }); }); } async function handleTurn(messages) { const prompt = buildPrompt(messages || []); const reqId = crypto.randomUUID(); const dir = path.join(WORKSPACE, reqId); fs.mkdirSync(dir, { recursive: true }); try { return await withSlot(() => runKimi({ prompt, cwd: dir })); } finally { // Stateless one-shot: nothing about this call is meant to survive it, so // the temp dir is discarded unconditionally, success or failure. fs.rm(dir, { recursive: true, force: true }, () => {}); } } // --- OpenAI-compatible HTTP surface (non-streaming only) --------------------- function completionBody(text) { return { id: `chatcmpl-${Date.now()}`, object: 'chat.completion', created: Math.floor(Date.now() / 1000), model: MODEL_ID, choices: [{ index: 0, message: { role: 'assistant', content: text }, finish_reason: 'stop', }], usage: { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 }, }; } const server = http.createServer((req, res) => { if (req.method === 'GET' && req.url === '/v1/models') { res.writeHead(200, { 'Content-Type': 'application/json' }); res.end(JSON.stringify({ object: 'list', data: [{ id: MODEL_ID, object: 'model', owned_by: 'moonshot' }], })); return; } if (req.method === 'POST' && req.url === '/v1/chat/completions') { let body = ''; req.on('data', d => { body += d; }); req.on('end', async () => { let parsed; try { parsed = JSON.parse(body); } catch { res.writeHead(400, { 'Content-Type': 'application/json' }); res.end(JSON.stringify({ error: 'invalid JSON body' })); return; } try { const text = await handleTurn(parsed.messages || []); // Non-streaming policy: always return the full body even if the // caller sets stream:true. Cognee's batch cognify has no use for SSE, // and a one-shot call has nothing to incrementally stream anyway. res.writeHead(200, { 'Content-Type': 'application/json' }); res.end(JSON.stringify(completionBody(text))); } catch (err) { res.writeHead(500, { 'Content-Type': 'application/json' }); res.end(JSON.stringify({ error: String(err.message || err) })); } }); return; } res.writeHead(404, { 'Content-Type': 'application/json' }); res.end(JSON.stringify({ error: 'not found' })); }); server.listen(PORT, () => console.log(`hindsight-llm wrapper listening on :${PORT}`));