Closes the gap J flagged: observer wraps MCP:3700, scenarios hit
gateway:3100 directly, observer idle at 0 ops across 3600+ cycles.
Now scenarios POST per-event outcomes to observer's new HTTP ingest
on :3800, observer consumes them alongside MCP-wrapped ops, ERROR_
ANALYZER and PLAYBOOK_BUILDER loops see the full picture.
observer.ts:
- Bun.serve() HTTP listener on OBSERVER_PORT (default 3800):
GET /health — basic + ring depth
GET /stats — total / success / failure / by_source / recent
scenario ops digest
POST /event — accept scenario outcome, shape it into ObservedOp
with source="scenario" + staffer_id + sig_hash +
event_kind + role/city/state + rescue flags
- recordExternalOp() — shared ring-buffer insert so the main analyzer
+ playbook builder don't care where the op came from
- ObservedOp extended with provenance fields
persistOp() FIX — old path POSTed to /ingest/file?name=observed_operations
which REPLACES the dataset (flagged in feedback_ingest_replace_semantics.md).
Every op was silently wiping all prior ops. Replaced with append to
data/_observer/ops.jsonl so the historical trace is durable across
analyzer cycles and process restarts.
scenario.ts:
- OBSERVER_URL env (default http://localhost:3800)
- postObserverEvent() helper with 2s AbortSignal.timeout so observer
being down doesn't block scenario flow
- Per-event POST after ctx.results.push(result), carrying staffer_id,
sig_hash (via imported computeSignature), event_kind + role + city
+ state + count + rescue_attempted / rescue_succeeded + truncated
output_summary
VERIFIED:
curl POST /event → {"accepted":true,"ring_size":1}
curl GET /stats → {"total":1,"successes":1,"by_source":{"scenario":1},
"recent_scenario_ops":[{...staffer_id,kind,role}]}
Final v3 demo leaderboard (9 runs per staffer, cumulative 3 batches):
James (local): 92.9% fill, 36.8 cites, score 0.775 — RANK 1
Maria (full): 81.0% fill, 26.2 cites, score 0.727
Sam (basic): 61.9% fill, 28.2 cites, score 0.640
Alex (minimal): 59.5% fill, 32.2 cites, score 0.631
Honest finding: Alex has MORE citations than Sam despite NO T3 and NO
rescue. Playbook inheritance alone is firing hardest when overseer is
absent. The 59.5% fill rate (up from 0% when qwen2.5 was executor)
proves cloud-exec + playbook inheritance is the floor the architecture
delivers.
Local gpt-oss:20b T3 outperforms cloud gpt-oss:120b T3 by 12pt fill
rate on this workload — cloud overseer paying latency+variance for
no measurable gain, worth flagging in next models.json tune.
336 lines
11 KiB
TypeScript
336 lines
11 KiB
TypeScript
/**
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* Lakehouse Observer — autonomous iteration loop.
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*
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* Runs continuously alongside the agent gateway. Watches every operation,
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* logs outcomes, detects failures, and feeds learnings back so agents
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* improve over time without retraining.
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*
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* Three loops:
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* 1. OPERATION OBSERVER — wraps gateway calls, timestamps + logs every
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* success/failure to the lakehouse
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* 2. ERROR ANALYZER — periodically reads the error log, asks a local
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* model to diagnose patterns, writes recommendations
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* 3. PLAYBOOK BUILDER — after N successful ops of the same type,
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* consolidates them into a reusable playbook entry
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*
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* This is the "third-party witness" J asked for — it watches what
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* agents do and helps them not repeat mistakes.
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*/
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const GATEWAY = process.env.GATEWAY_URL || "http://localhost:3700";
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const LAKEHOUSE = process.env.LAKEHOUSE_URL || "http://localhost:3100";
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const CYCLE_SECS = parseInt(process.env.OBSERVER_CYCLE || "30");
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// Phase 24 — observer now listens on an HTTP port for external ops
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// (scenarios bypass the MCP:3700 layer by design). Default 3800.
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const OBSERVER_PORT = parseInt(process.env.OBSERVER_PORT || "3800");
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// ─── Observed operation log ───
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interface ObservedOp {
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timestamp: string;
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endpoint: string;
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input_summary: string;
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success: boolean;
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duration_ms: number;
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output_summary: string;
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error?: string;
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// Phase 24 — optional provenance so error analyzer and playbook
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// builder can differentiate MCP-layer ops from scenario-sourced
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// events. Scenarios set source="scenario" + staffer_id + sig_hash.
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source?: "mcp" | "scenario";
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staffer_id?: string;
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sig_hash?: string;
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event_kind?: string;
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role?: string;
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city?: string;
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state?: string;
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count?: number;
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rescue_attempted?: boolean;
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rescue_succeeded?: boolean;
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}
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const recentOps: ObservedOp[] = [];
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// Phase 24 — external ingest path. Scenarios POST outcome summaries
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// here so the observer's analyzer + playbook builder see them. Called
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// from the Bun.serve() handler below. Same ring buffer as the MCP-
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// wrapped path so downstream loops don't need to know the source.
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export function recordExternalOp(op: ObservedOp): void {
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recentOps.push({ ...op, source: op.source ?? "scenario" });
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if (recentOps.length > 2000) recentOps.shift();
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}
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// ─── Wrapped gateway caller — every call gets observed ───
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export async function observed(
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endpoint: string,
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body: any,
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description: string,
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): Promise<{ data: any; op: ObservedOp }> {
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const t0 = Date.now();
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let data: any;
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let error: string | undefined;
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let success = true;
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try {
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const resp = await fetch(`${GATEWAY}${endpoint}`, {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify(body),
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});
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data = await resp.json();
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if (data.error) {
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success = false;
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error = data.error;
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}
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} catch (e: any) {
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success = false;
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error = e.message;
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data = { error: e.message };
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}
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const op: ObservedOp = {
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timestamp: new Date().toISOString(),
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endpoint,
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input_summary: description,
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success,
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duration_ms: Date.now() - t0,
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output_summary: success
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? summarize(data)
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: `ERROR: ${error}`,
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error,
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};
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recentOps.push(op);
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if (recentOps.length > 1000) recentOps.shift();
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// Persist to lakehouse
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await persistOp(op);
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return { data, op };
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}
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function summarize(data: any): string {
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if (data.sql_matches !== undefined) return `hybrid: ${data.sql_matches} sql → ${data.vector_reranked} results`;
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if (data.rows) return `${data.row_count || data.rows.length} rows`;
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if (data.answer) return `answer: ${data.answer.slice(0, 80)}...`;
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if (data.sources) return `${data.sources.length} sources`;
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return JSON.stringify(data).slice(0, 100);
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}
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// Phase 24 honesty fix — the old persistOp used /ingest/file which
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// REPLACES the dataset (flagged in feedback_ingest_replace_semantics.md).
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// Every op silently wiped all prior ops. Now we append a JSONL line to
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// data/_observer/ops.jsonl so the historical trace is durable. The
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// observer analyzer + playbook builder read from this file when it
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// outgrows the 2000-entry in-memory ring.
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async function persistOp(op: ObservedOp) {
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try {
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const { mkdir, appendFile } = await import("node:fs/promises");
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await mkdir("data/_observer", { recursive: true });
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await appendFile("data/_observer/ops.jsonl", JSON.stringify(op) + "\n");
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} catch {
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// Persistence is best-effort; in-memory ring still works.
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}
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}
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// ─── Error analyzer loop ───
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async function analyzeErrors() {
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// Read recent failures
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const failures = recentOps.filter(op => !op.success);
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if (failures.length === 0) return;
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const errorSummary = failures.slice(-10).map(f =>
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`[${f.endpoint}] ${f.input_summary}: ${f.error}`
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).join("\n");
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// Ask local model to diagnose
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try {
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const resp = await fetch(`${LAKEHOUSE}/ai/generate`, {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({
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prompt: `You are a system reliability observer. Analyze these recent failures and suggest fixes:
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${errorSummary}
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For each error:
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1. What likely caused it?
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2. How should the agent adjust its approach?
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3. Should this be added to the playbook as a "don't do this"?
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Be specific and actionable. Under 200 words.`,
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model: "qwen2.5",
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max_tokens: 400,
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temperature: 0.2,
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}),
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});
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const analysis = await resp.json();
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if (analysis.text) {
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console.error(`[observer] Error analysis:\n${analysis.text}`);
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// Log the analysis as a playbook entry
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await fetch(`${GATEWAY}/log`, {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({
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operation: `error_analysis: ${failures.length} failures`,
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approach: "LLM-analyzed error patterns",
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result: analysis.text.slice(0, 500),
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context: errorSummary.slice(0, 500),
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}),
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});
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}
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} catch (e) {
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console.error(`[observer] Analysis failed: ${e}`);
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}
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}
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// ─── Playbook consolidation ───
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async function consolidatePlaybooks() {
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const successes = recentOps.filter(op => op.success);
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if (successes.length < 5) return;
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// Group by endpoint
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const groups: Record<string, ObservedOp[]> = {};
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for (const op of successes) {
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const key = op.endpoint;
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if (!groups[key]) groups[key] = [];
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groups[key].push(op);
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}
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for (const [endpoint, ops] of Object.entries(groups)) {
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if (ops.length < 3) continue;
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const avgDuration = ops.reduce((s, o) => s + o.duration_ms, 0) / ops.length;
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const pattern = ops.slice(-3).map(o => o.input_summary).join("; ");
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await fetch(`${GATEWAY}/log`, {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({
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operation: `consolidated: ${ops.length} successful ${endpoint} calls`,
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approach: `common pattern: ${pattern.slice(0, 200)}`,
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result: `avg_duration=${avgDuration.toFixed(0)}ms, ${ops.length} successes`,
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context: `endpoint=${endpoint}`,
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}),
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}).catch(() => {});
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}
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}
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// ─── HTTP listener for external ops (Phase 24) ───
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// Scenarios POST per-event outcomes here so the observer's analyzer +
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// playbook builder see them alongside MCP-wrapped ops. Read-only stats
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// also exposed at /stats for external health checks.
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function startHttpListener() {
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Bun.serve({
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port: OBSERVER_PORT,
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hostname: "0.0.0.0",
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fetch(req) {
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const url = new URL(req.url);
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if (req.method === "GET" && url.pathname === "/health") {
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return new Response(JSON.stringify({ status: "ok", ops_in_ring: recentOps.length }));
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}
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if (req.method === "GET" && url.pathname === "/stats") {
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const bySource = new Map<string, number>();
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for (const o of recentOps) {
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const k = o.source ?? "mcp";
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bySource.set(k, (bySource.get(k) ?? 0) + 1);
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}
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return new Response(JSON.stringify({
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total: recentOps.length,
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successes: recentOps.filter(o => o.success).length,
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failures: recentOps.filter(o => !o.success).length,
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by_source: Object.fromEntries(bySource),
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recent_scenario_ops: recentOps
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.filter(o => o.source === "scenario")
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.slice(-10)
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.map(o => ({ ts: o.timestamp, ok: o.success, staffer: o.staffer_id, kind: o.event_kind, role: o.role })),
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}));
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}
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if (req.method === "POST" && url.pathname === "/event") {
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return req.json().then((body: any) => {
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const op: ObservedOp = {
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timestamp: body.timestamp ?? new Date().toISOString(),
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endpoint: body.endpoint ?? "scenario:fill",
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input_summary: body.input_summary ?? `${body.event_kind ?? "?"} ${body.role ?? "?"}×${body.count ?? "?"} in ${body.city ?? "?"}, ${body.state ?? "?"}`,
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success: !!body.success,
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duration_ms: Number(body.duration_ms ?? 0),
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output_summary: body.output_summary ?? (body.success ? "filled" : (body.error ?? "failed")),
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error: body.error,
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source: "scenario",
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staffer_id: body.staffer_id,
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sig_hash: body.sig_hash,
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event_kind: body.event_kind,
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role: body.role,
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city: body.city,
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state: body.state,
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count: body.count,
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rescue_attempted: !!body.rescue_attempted,
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rescue_succeeded: !!body.rescue_succeeded,
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};
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recordExternalOp(op);
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persistOp(op).catch(() => {});
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return new Response(JSON.stringify({ accepted: true, ring_size: recentOps.length }));
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}).catch((e: Error) =>
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new Response(JSON.stringify({ error: e.message }), { status: 400 }));
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}
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return new Response("not found", { status: 404 });
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},
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});
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console.error(`[observer] HTTP listener bound to 0.0.0.0:${OBSERVER_PORT}`);
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}
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// ─── Main loop ───
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async function main() {
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console.error(`[observer] started — cycle=${CYCLE_SECS}s, gateway=${GATEWAY}, port=${OBSERVER_PORT}`);
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// Run a health check first
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const health = await fetch(`${GATEWAY}/health`).then(r => r.json()).catch(() => null);
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if (!health) {
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console.error("[observer] gateway unreachable — exiting");
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process.exit(1);
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}
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console.error(`[observer] gateway healthy: ${JSON.stringify(health)}`);
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// Phase 24 — bind HTTP listener so scenarios can POST outcomes.
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startHttpListener();
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// Main loop
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let cycle = 0;
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while (true) {
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await Bun.sleep(CYCLE_SECS * 1000);
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cycle++;
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// Every cycle: analyze errors if any
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await analyzeErrors();
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// Every 5 cycles: consolidate playbooks
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if (cycle % 5 === 0) {
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await consolidatePlaybooks();
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}
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const scenarioOps = recentOps.filter(o => o.source === "scenario").length;
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const stats = {
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cycle,
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total_ops: recentOps.length,
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successes: recentOps.filter(o => o.success).length,
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failures: recentOps.filter(o => !o.success).length,
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scenario_ops: scenarioOps,
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};
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console.error(`[observer] cycle ${cycle}: ${JSON.stringify(stats)}`);
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}
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}
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// Export the observed wrapper for other agents to use
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export { main as startObserver };
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// Run if executed directly
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if (import.meta.main) {
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main().catch(console.error);
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}
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