Agent gateway + observer — autonomous internal operation

Three new systemd services:
- lakehouse-agent (:3700) — REST gateway wrapping all lakehouse tools.
  Clean JSON in/out, no protocol complexity. 9 endpoints: /search,
  /sql, /match, /worker/:id, /ask, /log, /playbooks, /profile/:id, /vram
- lakehouse-observer — watches operations, logs to lakehouse, asks
  local model to diagnose failure patterns, consolidates successful
  patterns into playbooks every 5 cycles
- Stdio MCP transport preserved for Claude Code integration

AGENT_INSTRUCTIONS.md: complete operating manual for sub-agents.
Rules: never hallucinate, SQL first for structured questions, hybrid
for matching, log every success, check playbooks before complex tasks.

Observer loop:
  observed() wrapper timestamps + persists every gateway call →
  error analyzer reads failures + asks LLM for diagnosis →
  playbook consolidator groups successes by endpoint pattern

All three designed for zero human intervention — agents operate,
observer watches, playbooks accumulate, iteration happens internally.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
root 2026-04-17 00:00:08 -05:00
parent e1d48d3c8f
commit b532ae61f1
8 changed files with 855 additions and 5 deletions

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# dependencies (bun install)
node_modules
# output
out
dist
*.tgz
# code coverage
coverage
*.lcov
# logs
logs
_.log
report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json
# dotenv environment variable files
.env
.env.development.local
.env.test.local
.env.production.local
.env.local
# caches
.eslintcache
.cache
*.tsbuildinfo
# IntelliJ based IDEs
.idea
# Finder (MacOS) folder config
.DS_Store

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# Lakehouse Agent Instructions
You are connected to a staffing intelligence system. Your job is to answer staffing questions, match workers to contracts, and track what works.
## Gateway
All tools are at `http://localhost:3700`. POST JSON, get JSON back.
## Tools
### `/search` — Hybrid SQL+Vector Search (use this most)
Find workers matching structured criteria + semantic meaning.
```json
POST /search
{
"question": "reliable forklift operators with hazmat certification",
"sql_filter": "role = 'Forklift Operator' AND state = 'IL' AND reliability > 0.8",
"top_k": 5
}
```
Every result is SQL-verified against the database. Trust the `sources` array — those workers exist with those exact skills and scores.
### `/sql` — Direct SQL Query
For exact counts, aggregations, and structured lookups.
```json
POST /sql
{ "sql": "SELECT role, COUNT(*) cnt FROM ethereal_workers GROUP BY role ORDER BY cnt DESC LIMIT 10" }
```
Tables: `ethereal_workers` (10K), `workers_100k` (100K), `candidates` (100K), `timesheets` (1M), `placements` (50K), `call_log` (800K), `email_log` (500K), `job_orders` (15K), `clients` (2K).
### `/match` — Match Workers to a Contract
```json
POST /match
{
"role": "Machine Operator",
"state": "IN",
"min_reliability": 0.8,
"required_certs": ["OSHA-10"],
"headcount": 5
}
```
Returns qualified, SQL-verified workers ranked by semantic fit.
### `/worker/:id` — Get One Worker
```
GET /worker/4925
```
Returns all fields: name, role, city, skills, certifications, scores, communications.
### `/ask` — RAG Question
For open-ended questions. Embeds your question, searches vector index, generates answer.
```json
POST /ask
{ "question": "What kinds of workers do we have in Ohio?" }
```
### `/log` — Record What Worked
After a successful operation, log it. Future runs can query past successes.
```json
POST /log
{
"operation": "Filled 3 forklift positions in Chicago",
"approach": "hybrid search: sql_filter role+state+reliability, vector rank by skills",
"result": "3/3 filled, all verified, client satisfied"
}
```
### `/playbooks` — Learn From Past Success
Before starting a task, check what worked before.
```
GET /playbooks?keyword=forklift
```
### `/profile/:id` — Swap Model Profile
Switch which Ollama model + data context is active.
```
POST /profile/agent-parquet (HNSW backend, qwen2.5)
POST /profile/agent-lance (Lance IVF_PQ backend, mistral)
```
### `/vram` — GPU Status
```
GET /vram
```
## Rules
1. **Never hallucinate.** Only state facts that appear in tool responses. If the data doesn't support an answer, say so.
2. **SQL first for structured questions.** "How many X in Y?" → use `/sql`. Don't guess counts.
3. **Hybrid for matching.** When finding workers for a contract, use `/search` or `/match` with `sql_filter` so results are verified.
4. **Log success.** After completing a task successfully, call `/log` so future agents can learn from it.
5. **Check playbooks.** Before a complex task, call `/playbooks` to see if a similar task has been done before.
6. **Verify before communicating.** Before drafting a message to a worker, confirm their details via `/worker/:id`.
## Workflow for Contract Filling
1. `GET /playbooks?keyword={role}` — check if this type was filled before
2. `POST /match` with role, state, min_reliability, required_certs
3. For each match: `GET /worker/:id` to confirm details
4. Draft communication using confirmed worker details
5. `POST /log` with outcome
## Available Profiles
| Profile | Backend | Model | Best for |
|---|---|---|---|
| `agent-parquet` | HNSW (RAM) | qwen2.5 | Fast precise search, <100K vectors |
| `agent-lance` | IVF_PQ (disk) | mistral | Large scale, append-heavy, random access |
Swap when you need different capabilities. Check `/vram` before swapping.

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Default to using Bun instead of Node.js.
- Use `bun <file>` instead of `node <file>` or `ts-node <file>`
- Use `bun test` instead of `jest` or `vitest`
- Use `bun build <file.html|file.ts|file.css>` instead of `webpack` or `esbuild`
- Use `bun install` instead of `npm install` or `yarn install` or `pnpm install`
- Use `bun run <script>` instead of `npm run <script>` or `yarn run <script>` or `pnpm run <script>`
- Use `bunx <package> <command>` instead of `npx <package> <command>`
- Bun automatically loads .env, so don't use dotenv.
## APIs
- `Bun.serve()` supports WebSockets, HTTPS, and routes. Don't use `express`.
- `bun:sqlite` for SQLite. Don't use `better-sqlite3`.
- `Bun.redis` for Redis. Don't use `ioredis`.
- `Bun.sql` for Postgres. Don't use `pg` or `postgres.js`.
- `WebSocket` is built-in. Don't use `ws`.
- Prefer `Bun.file` over `node:fs`'s readFile/writeFile
- Bun.$`ls` instead of execa.
## Testing
Use `bun test` to run tests.
```ts#index.test.ts
import { test, expect } from "bun:test";
test("hello world", () => {
expect(1).toBe(1);
});
```
## Frontend
Use HTML imports with `Bun.serve()`. Don't use `vite`. HTML imports fully support React, CSS, Tailwind.
Server:
```ts#index.ts
import index from "./index.html"
Bun.serve({
routes: {
"/": index,
"/api/users/:id": {
GET: (req) => {
return new Response(JSON.stringify({ id: req.params.id }));
},
},
},
// optional websocket support
websocket: {
open: (ws) => {
ws.send("Hello, world!");
},
message: (ws, message) => {
ws.send(message);
},
close: (ws) => {
// handle close
}
},
development: {
hmr: true,
console: true,
}
})
```
HTML files can import .tsx, .jsx or .js files directly and Bun's bundler will transpile & bundle automatically. `<link>` tags can point to stylesheets and Bun's CSS bundler will bundle.
```html#index.html
<html>
<body>
<h1>Hello, world!</h1>
<script type="module" src="./frontend.tsx"></script>
</body>
</html>
```
With the following `frontend.tsx`:
```tsx#frontend.tsx
import React from "react";
import { createRoot } from "react-dom/client";
// import .css files directly and it works
import './index.css';
const root = createRoot(document.body);
export default function Frontend() {
return <h1>Hello, world!</h1>;
}
root.render(<Frontend />);
```
Then, run index.ts
```sh
bun --hot ./index.ts
```
For more information, read the Bun API docs in `node_modules/bun-types/docs/**.mdx`.

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# mcp-server
To install dependencies:
```bash
bun install
```
To run:
```bash
bun run index.ts
```
This project was created using `bun init` in bun v1.3.9. [Bun](https://bun.com) is a fast all-in-one JavaScript runtime.

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"hasown": ["hasown@2.0.2", "", { "dependencies": { "function-bind": "^1.1.2" } }, "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ=="],
"hono": ["hono@4.12.14", "", {}, "sha512-am5zfg3yu6sqn5yjKBNqhnTX7Cv+m00ox+7jbaKkrLMRJ4rAdldd1xPd/JzbBWspqaQv6RSTrgFN95EsfhC+7w=="],
"http-errors": ["http-errors@2.0.1", "", { "dependencies": { "depd": "~2.0.0", "inherits": "~2.0.4", "setprototypeof": "~1.2.0", "statuses": "~2.0.2", "toidentifier": "~1.0.1" } }, "sha512-4FbRdAX+bSdmo4AUFuS0WNiPz8NgFt+r8ThgNWmlrjQjt1Q7ZR9+zTlce2859x4KSXrwIsaeTqDoKQmtP8pLmQ=="],
"iconv-lite": ["iconv-lite@0.7.2", "", { "dependencies": { "safer-buffer": ">= 2.1.2 < 3.0.0" } }, "sha512-im9DjEDQ55s9fL4EYzOAv0yMqmMBSZp6G0VvFyTMPKWxiSBHUj9NW/qqLmXUwXrrM7AvqSlTCfvqRb0cM8yYqw=="],
"inherits": ["inherits@2.0.4", "", {}, "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ=="],
"ip-address": ["ip-address@10.1.0", "", {}, "sha512-XXADHxXmvT9+CRxhXg56LJovE+bmWnEWB78LB83VZTprKTmaC5QfruXocxzTZ2Kl0DNwKuBdlIhjL8LeY8Sf8Q=="],
"ipaddr.js": ["ipaddr.js@1.9.1", "", {}, "sha512-0KI/607xoxSToH7GjN1FfSbLoU0+btTicjsQSWQlh/hZykN8KpmMf7uYwPW3R+akZ6R/w18ZlXSHBYXiYUPO3g=="],
"is-promise": ["is-promise@4.0.0", "", {}, "sha512-hvpoI6korhJMnej285dSg6nu1+e6uxs7zG3BYAm5byqDsgJNWwxzM6z6iZiAgQR4TJ30JmBTOwqZUw3WlyH3AQ=="],
"isexe": ["isexe@2.0.0", "", {}, "sha512-RHxMLp9lnKHGHRng9QFhRCMbYAcVpn69smSGcq3f36xjgVVWThj4qqLbTLlq7Ssj8B+fIQ1EuCEGI2lKsyQeIw=="],
"jose": ["jose@6.2.2", "", {}, "sha512-d7kPDd34KO/YnzaDOlikGpOurfF0ByC2sEV4cANCtdqLlTfBlw2p14O/5d/zv40gJPbIQxfES3nSx1/oYNyuZQ=="],
"json-schema-traverse": ["json-schema-traverse@1.0.0", "", {}, "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug=="],
"json-schema-typed": ["json-schema-typed@8.0.2", "", {}, "sha512-fQhoXdcvc3V28x7C7BMs4P5+kNlgUURe2jmUT1T//oBRMDrqy1QPelJimwZGo7Hg9VPV3EQV5Bnq4hbFy2vetA=="],
"math-intrinsics": ["math-intrinsics@1.1.0", "", {}, "sha512-/IXtbwEk5HTPyEwyKX6hGkYXxM9nbj64B+ilVJnC/R6B0pH5G4V3b0pVbL7DBj4tkhBAppbQUlf6F6Xl9LHu1g=="],
"media-typer": ["media-typer@1.1.0", "", {}, "sha512-aisnrDP4GNe06UcKFnV5bfMNPBUw4jsLGaWwWfnH3v02GnBuXX2MCVn5RbrWo0j3pczUilYblq7fQ7Nw2t5XKw=="],
"merge-descriptors": ["merge-descriptors@2.0.0", "", {}, "sha512-Snk314V5ayFLhp3fkUREub6WtjBfPdCPY1Ln8/8munuLuiYhsABgBVWsozAG+MWMbVEvcdcpbi9R7ww22l9Q3g=="],
"mime-db": ["mime-db@1.54.0", "", {}, "sha512-aU5EJuIN2WDemCcAp2vFBfp/m4EAhWJnUNSSw0ixs7/kXbd6Pg64EmwJkNdFhB8aWt1sH2CTXrLxo/iAGV3oPQ=="],
"mime-types": ["mime-types@3.0.2", "", { "dependencies": { "mime-db": "^1.54.0" } }, "sha512-Lbgzdk0h4juoQ9fCKXW4by0UJqj+nOOrI9MJ1sSj4nI8aI2eo1qmvQEie4VD1glsS250n15LsWsYtCugiStS5A=="],
"ms": ["ms@2.1.3", "", {}, "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="],
"negotiator": ["negotiator@1.0.0", "", {}, "sha512-8Ofs/AUQh8MaEcrlq5xOX0CQ9ypTF5dl78mjlMNfOK08fzpgTHQRQPBxcPlEtIw0yRpws+Zo/3r+5WRby7u3Gg=="],
"object-assign": ["object-assign@4.1.1", "", {}, "sha512-rJgTQnkUnH1sFw8yT6VSU3zD3sWmu6sZhIseY8VX+GRu3P6F7Fu+JNDoXfklElbLJSnc3FUQHVe4cU5hj+BcUg=="],
"object-inspect": ["object-inspect@1.13.4", "", {}, "sha512-W67iLl4J2EXEGTbfeHCffrjDfitvLANg0UlX3wFUUSTx92KXRFegMHUVgSqE+wvhAbi4WqjGg9czysTV2Epbew=="],
"on-finished": ["on-finished@2.4.1", "", { "dependencies": { "ee-first": "1.1.1" } }, "sha512-oVlzkg3ENAhCk2zdv7IJwd/QUD4z2RxRwpkcGY8psCVcCYZNq4wYnVWALHM+brtuJjePWiYF/ClmuDr8Ch5+kg=="],
"once": ["once@1.4.0", "", { "dependencies": { "wrappy": "1" } }, "sha512-lNaJgI+2Q5URQBkccEKHTQOPaXdUxnZZElQTZY0MFUAuaEqe1E+Nyvgdz/aIyNi6Z9MzO5dv1H8n58/GELp3+w=="],
"parseurl": ["parseurl@1.3.3", "", {}, "sha512-CiyeOxFT/JZyN5m0z9PfXw4SCBJ6Sygz1Dpl0wqjlhDEGGBP1GnsUVEL0p63hoG1fcj3fHynXi9NYO4nWOL+qQ=="],
"path-key": ["path-key@3.1.1", "", {}, "sha512-ojmeN0qd+y0jszEtoY48r0Peq5dwMEkIlCOu6Q5f41lfkswXuKtYrhgoTpLnyIcHm24Uhqx+5Tqm2InSwLhE6Q=="],
"path-to-regexp": ["path-to-regexp@8.4.2", "", {}, "sha512-qRcuIdP69NPm4qbACK+aDogI5CBDMi1jKe0ry5rSQJz8JVLsC7jV8XpiJjGRLLol3N+R5ihGYcrPLTno6pAdBA=="],
"pkce-challenge": ["pkce-challenge@5.0.1", "", {}, "sha512-wQ0b/W4Fr01qtpHlqSqspcj3EhBvimsdh0KlHhH8HRZnMsEa0ea2fTULOXOS9ccQr3om+GcGRk4e+isrZWV8qQ=="],
"proxy-addr": ["proxy-addr@2.0.7", "", { "dependencies": { "forwarded": "0.2.0", "ipaddr.js": "1.9.1" } }, "sha512-llQsMLSUDUPT44jdrU/O37qlnifitDP+ZwrmmZcoSKyLKvtZxpyV0n2/bD/N4tBAAZ/gJEdZU7KMraoK1+XYAg=="],
"qs": ["qs@6.15.1", "", { "dependencies": { "side-channel": "^1.1.0" } }, "sha512-6YHEFRL9mfgcAvql/XhwTvf5jKcOiiupt2FiJxHkiX1z4j7WL8J/jRHYLluORvc1XxB5rV20KoeK00gVJamspg=="],
"range-parser": ["range-parser@1.2.1", "", {}, "sha512-Hrgsx+orqoygnmhFbKaHE6c296J+HTAQXoxEF6gNupROmmGJRoyzfG3ccAveqCBrwr/2yxQ5BVd/GTl5agOwSg=="],
"raw-body": ["raw-body@3.0.2", "", { "dependencies": { "bytes": "~3.1.2", "http-errors": "~2.0.1", "iconv-lite": "~0.7.0", "unpipe": "~1.0.0" } }, "sha512-K5zQjDllxWkf7Z5xJdV0/B0WTNqx6vxG70zJE4N0kBs4LovmEYWJzQGxC9bS9RAKu3bgM40lrd5zoLJ12MQ5BA=="],
"require-from-string": ["require-from-string@2.0.2", "", {}, "sha512-Xf0nWe6RseziFMu+Ap9biiUbmplq6S9/p+7w7YXP/JBHhrUDDUhwa+vANyubuqfZWTveU//DYVGsDG7RKL/vEw=="],
"router": ["router@2.2.0", "", { "dependencies": { "debug": "^4.4.0", "depd": "^2.0.0", "is-promise": "^4.0.0", "parseurl": "^1.3.3", "path-to-regexp": "^8.0.0" } }, "sha512-nLTrUKm2UyiL7rlhapu/Zl45FwNgkZGaCpZbIHajDYgwlJCOzLSk+cIPAnsEqV955GjILJnKbdQC1nVPz+gAYQ=="],
"safer-buffer": ["safer-buffer@2.1.2", "", {}, "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="],
"send": ["send@1.2.1", "", { "dependencies": { "debug": "^4.4.3", "encodeurl": "^2.0.0", "escape-html": "^1.0.3", "etag": "^1.8.1", "fresh": "^2.0.0", "http-errors": "^2.0.1", "mime-types": "^3.0.2", "ms": "^2.1.3", "on-finished": "^2.4.1", "range-parser": "^1.2.1", "statuses": "^2.0.2" } }, "sha512-1gnZf7DFcoIcajTjTwjwuDjzuz4PPcY2StKPlsGAQ1+YH20IRVrBaXSWmdjowTJ6u8Rc01PoYOGHXfP1mYcZNQ=="],
"serve-static": ["serve-static@2.2.1", "", { "dependencies": { "encodeurl": "^2.0.0", "escape-html": "^1.0.3", "parseurl": "^1.3.3", "send": "^1.2.0" } }, "sha512-xRXBn0pPqQTVQiC8wyQrKs2MOlX24zQ0POGaj0kultvoOCstBQM5yvOhAVSUwOMjQtTvsPWoNCHfPGwaaQJhTw=="],
"setprototypeof": ["setprototypeof@1.2.0", "", {}, "sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw=="],
"shebang-command": ["shebang-command@2.0.0", "", { "dependencies": { "shebang-regex": "^3.0.0" } }, "sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA=="],
"shebang-regex": ["shebang-regex@3.0.0", "", {}, "sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A=="],
"side-channel": ["side-channel@1.1.0", "", { "dependencies": { "es-errors": "^1.3.0", "object-inspect": "^1.13.3", "side-channel-list": "^1.0.0", "side-channel-map": "^1.0.1", "side-channel-weakmap": "^1.0.2" } }, "sha512-ZX99e6tRweoUXqR+VBrslhda51Nh5MTQwou5tnUDgbtyM0dBgmhEDtWGP/xbKn6hqfPRHujUNwz5fy/wbbhnpw=="],
"side-channel-list": ["side-channel-list@1.0.1", "", { "dependencies": { "es-errors": "^1.3.0", "object-inspect": "^1.13.4" } }, "sha512-mjn/0bi/oUURjc5Xl7IaWi/OJJJumuoJFQJfDDyO46+hBWsfaVM65TBHq2eoZBhzl9EchxOijpkbRC8SVBQU0w=="],
"side-channel-map": ["side-channel-map@1.0.1", "", { "dependencies": { "call-bound": "^1.0.2", "es-errors": "^1.3.0", "get-intrinsic": "^1.2.5", "object-inspect": "^1.13.3" } }, "sha512-VCjCNfgMsby3tTdo02nbjtM/ewra6jPHmpThenkTYh8pG9ucZ/1P8So4u4FGBek/BjpOVsDCMoLA/iuBKIFXRA=="],
"side-channel-weakmap": ["side-channel-weakmap@1.0.2", "", { "dependencies": { "call-bound": "^1.0.2", "es-errors": "^1.3.0", "get-intrinsic": "^1.2.5", "object-inspect": "^1.13.3", "side-channel-map": "^1.0.1" } }, "sha512-WPS/HvHQTYnHisLo9McqBHOJk2FkHO/tlpvldyrnem4aeQp4hai3gythswg6p01oSoTl58rcpiFAjF2br2Ak2A=="],
"statuses": ["statuses@2.0.2", "", {}, "sha512-DvEy55V3DB7uknRo+4iOGT5fP1slR8wQohVdknigZPMpMstaKJQWhwiYBACJE3Ul2pTnATihhBYnRhZQHGBiRw=="],
"toidentifier": ["toidentifier@1.0.1", "", {}, "sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA=="],
"type-is": ["type-is@2.0.1", "", { "dependencies": { "content-type": "^1.0.5", "media-typer": "^1.1.0", "mime-types": "^3.0.0" } }, "sha512-OZs6gsjF4vMp32qrCbiVSkrFmXtG/AZhY3t0iAMrMBiAZyV9oALtXO8hsrHbMXF9x6L3grlFuwW2oAz7cav+Gw=="],
"typescript": ["typescript@5.9.3", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw=="],
"undici-types": ["undici-types@7.19.2", "", {}, "sha512-qYVnV5OEm2AW8cJMCpdV20CDyaN3g0AjDlOGf1OW4iaDEx8MwdtChUp4zu4H0VP3nDRF/8RKWH+IPp9uW0YGZg=="],
"unpipe": ["unpipe@1.0.0", "", {}, "sha512-pjy2bYhSsufwWlKwPc+l3cN7+wuJlK6uz0YdJEOlQDbl6jo/YlPi4mb8agUkVC8BF7V8NuzeyPNqRksA3hztKQ=="],
"vary": ["vary@1.1.2", "", {}, "sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg=="],
"which": ["which@2.0.2", "", { "dependencies": { "isexe": "^2.0.0" }, "bin": { "node-which": "./bin/node-which" } }, "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA=="],
"wrappy": ["wrappy@1.0.2", "", {}, "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ=="],
"zod": ["zod@4.3.6", "", {}, "sha512-rftlrkhHZOcjDwkGlnUtZZkvaPHCsDATp4pGpuOOMDaTdDDXF91wuVDJoWoPsKX/3YPQ5fHuF3STjcYyKr+Qhg=="],
"zod-to-json-schema": ["zod-to-json-schema@3.25.2", "", { "peerDependencies": { "zod": "^3.25.28 || ^4" } }, "sha512-O/PgfnpT1xKSDeQYSCfRI5Gy3hPf91mKVDuYLUHZJMiDFptvP41MSnWofm8dnCm0256ZNfZIM7DSzuSMAFnjHA=="],
}
}

View File

@ -15,9 +15,12 @@
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js";
import { z } from "zod";
const BASE = process.env.LAKEHOUSE_URL || "http://localhost:3100";
const PORT = parseInt(process.env.MCP_PORT || "3700");
const MODE = process.env.MCP_TRANSPORT || "http"; // "stdio" or "http"
async function api(method: string, path: string, body?: any) {
const resp = await fetch(`${BASE}${path}`, {
@ -176,12 +179,119 @@ server.resource("lakehouse://datasets", "lakehouse://datasets", async (uri) => {
return { contents: [{ uri: uri.href, mimeType: "text/plain", text }] };
});
// Start
// ─── Dual mode: stdio (Claude Code) or HTTP (internal agents) ───
async function main() {
const transport = new StdioServerTransport();
await server.connect(transport);
console.error(`Lakehouse MCP server started → ${BASE}`);
console.error("Tools: search_workers, query_sql, match_contract, get_worker, rag_question, log_success, get_playbooks, swap_profile, vram_status");
if (MODE === "stdio") {
const transport = new StdioServerTransport();
await server.connect(transport);
console.error(`Lakehouse MCP (stdio) → ${BASE}`);
return;
}
// HTTP mode — a REST gateway that internal agents call directly.
// No MCP protocol complexity for consumers — just POST JSON, get JSON.
// The MCP tool definitions above are reused for the stdio path; this
// HTTP path wraps the same lakehouse API with agent-friendly routing.
Bun.serve({
port: PORT,
async fetch(req) {
const url = new URL(req.url);
const json = async () => req.method === "POST" ? await req.json() : {};
const ok = (data: any) => Response.json(data);
const err = (msg: string, status = 400) => Response.json({ error: msg }, { status });
try {
// Health
if (url.pathname === "/health") return ok({ status: "ok", lakehouse: BASE, tools: 9 });
// Tool: hybrid search
if (url.pathname === "/search") {
const b = await json();
return ok(await api("POST", "/vectors/hybrid", {
question: b.question, index_name: b.index || "ethereal_workers_v1",
sql_filter: b.sql_filter, filter_dataset: b.dataset || "ethereal_workers",
id_column: b.id_column || "worker_id", top_k: b.top_k || 5, generate: b.generate !== false,
}));
}
// Tool: SQL
if (url.pathname === "/sql") {
const b = await json();
return ok(await api("POST", "/query/sql", { sql: b.sql }));
}
// Tool: match contract
if (url.pathname === "/match") {
const b = await json();
let filter = `role = '${b.role}' AND state = '${b.state}' AND reliability >= ${b.min_reliability || 0.7}`;
if (b.city) filter += ` AND city = '${b.city}'`;
return ok(await api("POST", "/vectors/hybrid", {
question: `Best ${b.role} workers with relevant skills`,
index_name: b.index || "ethereal_workers_v1", sql_filter: filter,
filter_dataset: b.dataset || "ethereal_workers",
id_column: "worker_id", top_k: (b.headcount || 5) * 2, generate: false,
}));
}
// Tool: get worker
if (url.pathname.startsWith("/worker/")) {
const id = url.pathname.split("/")[2];
return ok(await api("POST", "/query/sql", { sql: `SELECT * FROM ethereal_workers WHERE worker_id = ${id}` }));
}
// Tool: RAG
if (url.pathname === "/ask") {
const b = await json();
return ok(await api("POST", "/vectors/rag", { index_name: b.index || "ethereal_workers_v1", question: b.question, top_k: b.top_k || 5 }));
}
// Tool: log success
if (url.pathname === "/log") {
const b = await json();
const csv = `timestamp,operation,approach,result,context\n"${new Date().toISOString()}","${(b.operation||"").replace(/"/g,'""')}","${(b.approach||"").replace(/"/g,'""')}","${(b.result||"").replace(/"/g,'""')}","${(b.context||"").replace(/"/g,'""')}"`;
const form = new FormData();
form.append("file", new Blob([csv], { type: "text/csv" }), "playbook.csv");
const r = await fetch(`${BASE}/ingest/file?name=successful_playbooks`, { method: "POST", body: form });
return ok({ logged: true, response: await r.text() });
}
// Tool: get playbooks
if (url.pathname === "/playbooks") {
const kw = url.searchParams.get("keyword");
const limit = url.searchParams.get("limit") || "10";
let sql = `SELECT * FROM successful_playbooks ORDER BY timestamp DESC LIMIT ${limit}`;
if (kw) sql = `SELECT * FROM successful_playbooks WHERE operation LIKE '%${kw}%' OR approach LIKE '%${kw}%' ORDER BY timestamp DESC LIMIT ${limit}`;
const r = await api("POST", "/query/sql", { sql });
return ok(r.error ? { playbooks: [], note: "No playbooks yet" } : { playbooks: r.rows });
}
// Tool: swap profile
if (url.pathname.startsWith("/profile/")) {
const id = url.pathname.split("/")[2];
return ok(await api("POST", `/vectors/profile/${id}/activate`));
}
// Tool: VRAM
if (url.pathname === "/vram") return ok(await api("GET", "/ai/vram"));
// Pass-through to lakehouse for anything else
if (url.pathname.startsWith("/api/")) {
const path = url.pathname.replace("/api", "");
const body = req.method !== "GET" ? await req.text() : undefined;
const r = await fetch(`${BASE}${path}`, { method: req.method, headers: { "Content-Type": "application/json" }, body });
return new Response(await r.text(), { status: r.status, headers: { "Content-Type": "application/json" } });
}
return err("Unknown path. Available: /health /search /sql /match /worker/:id /ask /log /playbooks /profile/:id /vram /api/*", 404);
} catch (e: any) {
return err(e.message || String(e), 500);
}
},
});
console.error(`Lakehouse Agent Gateway :${PORT}${BASE}`);
}
main().catch(console.error);

235
mcp-server/observer.ts Normal file
View File

@ -0,0 +1,235 @@
/**
* Lakehouse Observer autonomous iteration loop.
*
* Runs continuously alongside the agent gateway. Watches every operation,
* logs outcomes, detects failures, and feeds learnings back so agents
* improve over time without retraining.
*
* Three loops:
* 1. OPERATION OBSERVER wraps gateway calls, timestamps + logs every
* success/failure to the lakehouse
* 2. ERROR ANALYZER periodically reads the error log, asks a local
* model to diagnose patterns, writes recommendations
* 3. PLAYBOOK BUILDER after N successful ops of the same type,
* consolidates them into a reusable playbook entry
*
* This is the "third-party witness" J asked for it watches what
* agents do and helps them not repeat mistakes.
*/
const GATEWAY = process.env.GATEWAY_URL || "http://localhost:3700";
const LAKEHOUSE = process.env.LAKEHOUSE_URL || "http://localhost:3100";
const CYCLE_SECS = parseInt(process.env.OBSERVER_CYCLE || "30");
// ─── Observed operation log ───
interface ObservedOp {
timestamp: string;
endpoint: string;
input_summary: string;
success: boolean;
duration_ms: number;
output_summary: string;
error?: string;
}
const recentOps: ObservedOp[] = [];
// ─── Wrapped gateway caller — every call gets observed ───
export async function observed(
endpoint: string,
body: any,
description: string,
): Promise<{ data: any; op: ObservedOp }> {
const t0 = Date.now();
let data: any;
let error: string | undefined;
let success = true;
try {
const resp = await fetch(`${GATEWAY}${endpoint}`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(body),
});
data = await resp.json();
if (data.error) {
success = false;
error = data.error;
}
} catch (e: any) {
success = false;
error = e.message;
data = { error: e.message };
}
const op: ObservedOp = {
timestamp: new Date().toISOString(),
endpoint,
input_summary: description,
success,
duration_ms: Date.now() - t0,
output_summary: success
? summarize(data)
: `ERROR: ${error}`,
error,
};
recentOps.push(op);
if (recentOps.length > 1000) recentOps.shift();
// Persist to lakehouse
await persistOp(op);
return { data, op };
}
function summarize(data: any): string {
if (data.sql_matches !== undefined) return `hybrid: ${data.sql_matches} sql → ${data.vector_reranked} results`;
if (data.rows) return `${data.row_count || data.rows.length} rows`;
if (data.answer) return `answer: ${data.answer.slice(0, 80)}...`;
if (data.sources) return `${data.sources.length} sources`;
return JSON.stringify(data).slice(0, 100);
}
async function persistOp(op: ObservedOp) {
const csv = `timestamp,endpoint,input_summary,success,duration_ms,output_summary,error
"${op.timestamp}","${op.endpoint}","${esc(op.input_summary)}",${op.success},${op.duration_ms},"${esc(op.output_summary)}","${esc(op.error || "")}"`;
const form = new FormData();
form.append("file", new Blob([csv], { type: "text/csv" }), "op.csv");
await fetch(`${LAKEHOUSE}/ingest/file?name=observed_operations`, { method: "POST", body: form }).catch(() => {});
}
function esc(s: string) { return s.replace(/"/g, '""').replace(/\n/g, ' '); }
// ─── Error analyzer loop ───
async function analyzeErrors() {
// Read recent failures
const failures = recentOps.filter(op => !op.success);
if (failures.length === 0) return;
const errorSummary = failures.slice(-10).map(f =>
`[${f.endpoint}] ${f.input_summary}: ${f.error}`
).join("\n");
// Ask local model to diagnose
try {
const resp = await fetch(`${LAKEHOUSE}/ai/generate`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
prompt: `You are a system reliability observer. Analyze these recent failures and suggest fixes:
${errorSummary}
For each error:
1. What likely caused it?
2. How should the agent adjust its approach?
3. Should this be added to the playbook as a "don't do this"?
Be specific and actionable. Under 200 words.`,
model: "qwen2.5",
max_tokens: 400,
temperature: 0.2,
}),
});
const analysis = await resp.json();
if (analysis.text) {
console.error(`[observer] Error analysis:\n${analysis.text}`);
// Log the analysis as a playbook entry
await fetch(`${GATEWAY}/log`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
operation: `error_analysis: ${failures.length} failures`,
approach: "LLM-analyzed error patterns",
result: analysis.text.slice(0, 500),
context: errorSummary.slice(0, 500),
}),
});
}
} catch (e) {
console.error(`[observer] Analysis failed: ${e}`);
}
}
// ─── Playbook consolidation ───
async function consolidatePlaybooks() {
const successes = recentOps.filter(op => op.success);
if (successes.length < 5) return;
// Group by endpoint
const groups: Record<string, ObservedOp[]> = {};
for (const op of successes) {
const key = op.endpoint;
if (!groups[key]) groups[key] = [];
groups[key].push(op);
}
for (const [endpoint, ops] of Object.entries(groups)) {
if (ops.length < 3) continue;
const avgDuration = ops.reduce((s, o) => s + o.duration_ms, 0) / ops.length;
const pattern = ops.slice(-3).map(o => o.input_summary).join("; ");
await fetch(`${GATEWAY}/log`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
operation: `consolidated: ${ops.length} successful ${endpoint} calls`,
approach: `common pattern: ${pattern.slice(0, 200)}`,
result: `avg_duration=${avgDuration.toFixed(0)}ms, ${ops.length} successes`,
context: `endpoint=${endpoint}`,
}),
}).catch(() => {});
}
}
// ─── Main loop ───
async function main() {
console.error(`[observer] started — cycle=${CYCLE_SECS}s, gateway=${GATEWAY}`);
// Run a health check first
const health = await fetch(`${GATEWAY}/health`).then(r => r.json()).catch(() => null);
if (!health) {
console.error("[observer] gateway unreachable — exiting");
process.exit(1);
}
console.error(`[observer] gateway healthy: ${JSON.stringify(health)}`);
// Main loop
let cycle = 0;
while (true) {
await Bun.sleep(CYCLE_SECS * 1000);
cycle++;
// Every cycle: analyze errors if any
await analyzeErrors();
// Every 5 cycles: consolidate playbooks
if (cycle % 5 === 0) {
await consolidatePlaybooks();
}
const stats = {
cycle,
total_ops: recentOps.length,
successes: recentOps.filter(o => o.success).length,
failures: recentOps.filter(o => !o.success).length,
};
console.error(`[observer] cycle ${cycle}: ${JSON.stringify(stats)}`);
}
}
// Export the observed wrapper for other agents to use
export { main as startObserver };
// Run if executed directly
if (import.meta.main) {
main().catch(console.error);
}

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mcp-server/tsconfig.json Normal file
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{
"compilerOptions": {
// Environment setup & latest features
"lib": ["ESNext"],
"target": "ESNext",
"module": "Preserve",
"moduleDetection": "force",
"jsx": "react-jsx",
"allowJs": true,
// Bundler mode
"moduleResolution": "bundler",
"allowImportingTsExtensions": true,
"verbatimModuleSyntax": true,
"noEmit": true,
// Best practices
"strict": true,
"skipLibCheck": true,
"noFallthroughCasesInSwitch": true,
"noUncheckedIndexedAccess": true,
"noImplicitOverride": true,
// Some stricter flags (disabled by default)
"noUnusedLocals": false,
"noUnusedParameters": false,
"noPropertyAccessFromIndexSignature": false
}
}