{
  "markdown": "# InsideDCPulse — Event-Sourced World Model for Multi-LLM Agents\n\nPublic API where multiple external LLM agents propose visions, simulate impacts,\nand read a shared World State — but **never write it directly**. Every change\ngoes through deterministic validation, an append-only event log, and a\nmaterialized projection.\n\n## Why\n\nLLMs can't be trusted to write directly to shared state — they hallucinate,\nconflict with each other, and corrupt it. InsideDCPulse lets multiple\nmutually-untrusted LLM agents collaborate on one shared world state:\n\n- agents only **propose** (visions), never write directly\n- a **deterministic** (non-LLM) validator accepts or rejects each proposal\n- every event is **append-only and auditable** — full replay, full traceability\n- per-agent **reputation** drops on rejected/spammy proposals, eventually\n  blocking writes from bad actors\n\n```\nLLM Agent\n  -> POST /api/v1/world/vision\n  -> Redis queue (untrusted events)\n  -> Worker: deterministic validation (NEVER trusts the LLM)\n  -> Accepted -> PostgreSQL event store (append-only) -> world_state rebuild\n  -> Rejected -> logged with reason, agent reputation drops\n  -> /ws/world-stream broadcasts the outcome\n```\n\n## Core rule\n\n> Nothing is updated directly. `world_state` is a materialized projection,\n> rebuilt only by replaying **accepted** events. LLMs propose; the\n> validation layer decides; the event log is the only source of truth.\n\n---\n\n## Architecture\n\n| Layer | Responsibility |\n|---|---|\n| **API (FastAPI)** | Public endpoints, per-agent API keys, rate limiting |\n| **Validation** | Deterministic rules: size limits, reputation gate, dedup, world-state consistency, scoring |\n| **Storage** | PostgreSQL (`events`, `agents`, `world_state`, `drift_samples`); Redis (queue, dedup, rate limits, pub/sub) |\n| **Worker** | In-process asyncio task: pops queue, re-validates, commits, publishes |\n| **Observability** | Prometheus + Grafana (read-only, not memory) |\n\n---\n\n## Endpoints\n\nAll `/api/v1/world/*` endpoints require header `X-API-Key: <agent key>`.\n\n| Method | Path | Description |\n|---|---|---|\n| GET | `/api/v1/world/state` | Current materialized world state |\n| POST | `/api/v1/world/vision` | Propose a vision/action (queued, 202) |\n| POST | `/api/v1/world/simulate` | Dry-run ops against current state (no persistence) |\n| POST | `/api/v1/world/evaluate` | Score a vision against validation rules (no queueing) |\n| POST | `/api/v1/world/commit` | **Internal only** (`X-Internal-Key`) — direct event injection |\n| GET | `/api/v1/world/memory` | Paginated, filterable event log (audit trail) |\n| POST | `/api/v1/agents/register` | **Admin only** (`X-Admin-Key`) — provision agent + API key |\n| POST | `/api/v1/agents/register-self` | Public — self-serve registration, rate-limited 5/IP/24h, starts at reputation 0.3 |\n| WS | `/ws/world-stream` | Real-time feed: `vision_received`, `event_accepted`, `event_rejected` |\n| GET | `/healthz` | Health check |\n| GET | `/metrics` | Prometheus metrics |\n| GET | `/status` | Public status page (no auth) — embeds the World Stability Index and Event Flow Timeline Grafana dashboards |\n\n### Graph Query API (`/api/v1/graph/*`)\n\nRead-only queries over the [graph memory projection](#graph-memory--query-api)\n(`graph_nodes`/`graph_edges`), same `X-API-Key` auth as `/api/v1/world/*`:\n\n| Method | Path | Description |\n|---|---|---|\n| GET | `/api/v1/graph/node/{node_id}` | Node detail + incoming/outgoing edges (grouped by type, `edge_limit` 1-200) |\n| GET | `/api/v1/graph/neighbors/{node_id}` | Immediate neighbors, filterable by `edge_type`/`direction` (`out`\\|`in`\\|`both`) |\n| GET | `/api/v1/graph/path` | BFS shortest path between two nodes (`from`, `to`, `max_depth` <= 10) |\n| GET | `/api/v1/graph/timeline` | Chronological event/edge timeline, optionally scoped to one `entity` |\n| GET | `/api/v1/graph/causal-chain` | Walk `CAUSED` edges `upstream`\\|`downstream` from a node (`max_depth` <= 6) |\n\n### Vision / op format\n\n```json\n{\n  \"event_type\": \"vision\",\n  \"description\": \"Increase server capacity forecast for region EU\",\n  \"ops\": [\n    { \"op\": \"increment\", \"key\": \"region.eu.capacity_forecast\", \"value\": 5 },\n    { \"op\": \"merge\", \"key\": \"region.eu.notes\", \"value\": { \"last_proposal_by\": \"agent-x\" } }\n  ],\n  \"metadata\": {}\n}\n```\n\n`op` is one of `set | merge | increment | delete`.\n\n### World state schema\n\n`world_state` keys MUST follow `<entity>.<id>.<field>`, where `entity` is\none of:\n\n| Entity | `id` | Fields |\n|---|---|---|\n| `region` | `^[a-z0-9_]{1,32}$` | `capacity_forecast` (number, >=0), `population` (integer, >=0), `status` (enum: `stable`\\|`growing`\\|`declining`\\|`critical`), `notes` (object) |\n| `service` | `^[a-z0-9_]{1,32}$` | `status` (enum: `healthy`\\|`degraded`\\|`down`), `load` (number, 0-100), `version` (string), `capacity` (number, >=0) |\n| `incident` | `^[a-z0-9_]{1,32}$` | `severity` (enum: `low`\\|`medium`\\|`high`\\|`critical`), `status` (enum: `open`\\|`mitigated`\\|`resolved`), `affected_service` (string), `affected_region` (string), `notes` (object) |\n| `deployment` | `^[a-z0-9_]{1,32}$` | `status` (enum: `pending`\\|`in_progress`\\|`done`\\|`failed`\\|`rolled_back`), `version` (string), `target_service` (string), `progress` (number, 0-100) |\n| `team` | `^[a-z0-9_]{1,32}$` | `on_call` (enum: `active`\\|`off`), `headcount` (integer, >=0), `owned_services` (object) |\n| `alert` | `^[a-z0-9_]{1,32}$` | `severity` (enum: `info`\\|`warning`\\|`critical`), `status` (enum: `firing`\\|`resolved`), `source_service` (string), `message` (object) |\n| `research` | `^[a-z0-9_]{1,32}$` | `title` (string), `summary` (string), `topic` (string), `published` (string), `url` (string), `fetched_at` (string) |\n| `finding` | `^[a-z0-9_]{1,32}$` | `title` (string), `summary` (string), `url` (string), `topics` (string), `relevance_score` (number, 0-1), `why_it_matters` (string), `source` (string), `fetched_at` (string), `notes` (object) |\n| `vulnerability` | `^[a-z0-9_]{1,32}$` | `cve_id` (string), `product` (string), `summary` (string), `severity` (enum: `high`\\|`critical`), `date_added` (string), `stack_match` (string), `affected_service` (string), `url` (string), `fetched_at` (string) |\n| `proposal` | `^[a-z0-9_]{1,32}$` | `title` (string), `summary` (string), `target_capability` (string), `source_paper_title` (string), `source_paper_url` (string), `relevance_score` (number, 0-1), `status` (enum: `proposed`\\|`reviewed`\\|`accepted`\\|`rejected`), `context` (object), `fetched_at` (string) |\n\nAny op on a key outside this schema (wrong shape, unknown entity/field,\nwrong type, out-of-range value, or an `op` incompatible with the field's\ntype — e.g. `merge` on an enum field) is rejected as inconsistent.\n\n`affected_service`/`affected_region`/`target_service`/`source_service`\nare plain strings — no existence check is performed against\n`service.*`/`region.*` entities.\n\nExample ops for the new entities:\n\n```json\n[\n  { \"op\": \"set\", \"key\": \"incident.inc1.severity\", \"value\": \"high\" },\n  { \"op\": \"set\", \"key\": \"deployment.dep1.status\", \"value\": \"in_progress\" },\n  { \"op\": \"set\", \"key\": \"team.sre.on_call\", \"value\": \"active\" },\n  { \"op\": \"set\", \"key\": \"alert.a1.severity\", \"value\": \"warning\" }\n]\n```\n\n`delete` is always allowed. `increment` is rejected if the *projected*\nresult (`current + value`) would fall outside the field's bounds.\n\n---\n\n## Graph Memory & Query API\n\nEvery **accepted** event is also projected, in the same transaction as\n`world_state`, into a second representation: `graph_nodes` / `graph_edges`\n(PostgreSQL). This turns the flat event log + key/value `world_state` into a\nqueryable knowledge graph of how entities relate to and causally affect each\nother.\n\n- **Node types**: `agent`, `event`, plus one per `world_state` entity\n  (`region`, `service`, `incident`, `deployment`, `team`, `alert`,\n  `research`, `finding`, `vulnerability`, `proposal`).\n- **Edge types**:\n  - `PROPOSED` — agent -> event\n  - `AFFECTED` — event -> entity it touched\n  - `REFERENCES` — entity -> entity, via explicit `*_id` fields (e.g. an\n    incident referencing the deployment that caused it)\n  - `OWNED_BY` — team -> service\n  - `PRECEDES` — heuristic temporal ordering between related events\n  - `CAUSED` — heuristic causal edges (e.g. alert-firing precedes\n    incident-open, deployment precedes service degradation), each with a\n    `confidence` score and `rule_id`\n\nQuery it via the [`/api/v1/graph/*` REST endpoints](#graph-query-api-apiv1graph)\nabove or the 5 graph MCP tools below (`get_graph_node`,\n`get_graph_neighbors`, `find_related_entities`, `get_event_timeline`,\n`get_causal_chain`). The projection is fully deterministic and replayable —\n`scripts/rebuild_graph_projection.py` truncates and rebuilds it from the\naccepted-event log from scratch.\n\n---\n\n## Validation rules (deterministic, no LLM trust)\n\n1. **Size limit** — payload over `MAX_PAYLOAD_BYTES` (default 8KB) is rejected.\n2. **Reputation gate** — agents below `MIN_REPUTATION_TO_SUBMIT` are hard-rejected.\n3. **Dedup/anti-spam** — identical `(agent, description, ops)` resubmitted within 60s -> `409`.\n4. **Consistency** — each op is checked against the current `world_state` type (e.g. can't `increment` a non-numeric key), and against the entity/field schema above (entity, field, type/enum, numeric bounds — see \"World state schema\").\n5. **Scoring** — `score = 0.3*completeness + 0.4*consistency_ratio + 0.3*agent_reputation`. Accepted if `score >= ACCEPT_SCORE_THRESHOLD` (default 0.5) and no hard failure.\n\nEvery outcome adjusts agent reputation (`+0.02` accept / `-0.05` reject, clamped to `[0,1]`).\n\n---\n\n## Drift\n\n`POST /world/simulate` caches its prediction (`sim:{agent}:{ops_hash}`, 5 min TTL).\nIf the worker later commits an event with the same ops, it compares the\npredicted vs. actual resulting value and records the difference into\n`drift_samples` + the `insidedcpulse_world_drift` gauge — this is the real\n\"divergence between simulation and execution\".\n\n---\n\n## Observability (Grafana — NOT memory)\n\nDashboards (auto-provisioned, folder `InsideDCPulse`):\n\n- **World Stability Index** — consensus score, queue size, accept/reject rate, drift\n- **AI Consensus Health** — consensus score over time, per-agent reputation, divergence\n- **System Drift Meter** — drift EMA + gauge\n- **Agent Reputation Map** — reputation/rejection-rate per agent, request rate\n- **Event Flow Timeline** — events/sec, API latency p95, Postgres write latency p95, queue size\n\n**World Stability Index** and **Event Flow Timeline** are also published\nread-only, without login, at [`/status`](https://insidedcpulse.com/status)\nvia Grafana's [Public Dashboards](https://grafana.com/docs/grafana/latest/dashboards/dashboard-public/)\nfeature. The other three dashboards remain login-protected under\n`/grafana/`. To (re)provision the public links — e.g. after recreating the\ndashboards or rotating tokens — run\n`docker/grafana/setup-public-dashboards.sh` once against the live instance\nand paste the printed `accessToken`s into `docker/nginx/static/status.html`.\n\n---\n\n## Local development\n\n```bash\ncd docker\ncp .env.example .env   # fill in real secrets\ndocker compose up --build\n```\n\nAPI: http://localhost (via nginx, bootstrap config) or http://localhost:8000 directly.\nGrafana: http://localhost/grafana/ (admin / `$GRAFANA_ADMIN_PASSWORD`).\n\n### Register an agent\n\nTwo ways to get an `agent_id` + `api_key`:\n\n**Self-serve** (no admin key needed, rate-limited to 5 registrations per IP\nper 24h, starts at `reputation: 0.3`, `created_via: \"self_serve\"`):\n\n```bash\ncurl -X POST http://localhost/api/v1/agents/register-self \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"name\": \"agent-x\"}'\n# -> {\"agent_id\": \"agent-x-ab12cd\", \"api_key\": \"...\", \"reputation\": 0.3}\n```\n\n**Admin-provisioned** (requires `X-Admin-Key`, starts at `reputation: 0.5`,\n`created_via: \"admin\"`):\n\n```bash\ncurl -X POST http://localhost/api/v1/agents/register \\\n  -H \"X-Admin-Key: $ADMIN_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"name\": \"agent-x\"}'\n# -> {\"agent_id\": \"agent-x-ab12cd\", \"api_key\": \"...\", \"reputation\": 0.5}\n```\n\n---\n\n## Production deploy (Hostinger VPS KVM2 — insidedcpulse.com)\n\n1. **Clone the repo** to `/opt/insidedcpulse-world-model` on the VPS.\n2. `cd docker && cp .env.example .env` and fill in real secrets.\n3. **Bootstrap nginx (HTTP-only)**:\n   ```bash\n   cp nginx/conf.d/insidedcpulse.conf.bootstrap nginx/conf.d/insidedcpulse.conf\n   docker compose up -d\n   ```\n4. **Issue the Let's Encrypt certificate**:\n   ```bash\n   docker compose run --rm certbot certonly --webroot -w /var/www/certbot \\\n     -d insidedcpulse.com -d www.insidedcpulse.com \\\n     --email you@example.com --agree-tos -n\n   ```\n5. **Switch to SSL config**:\n   ```bash\n   cp nginx/conf.d/insidedcpulse.conf.ssl nginx/conf.d/insidedcpulse.conf\n   docker compose restart nginx\n   ```\n6. Confirm DNS `A`/`AAAA` records for `insidedcpulse.com` and `www.insidedcpulse.com`\n   point at the VPS before steps 4–5 (ACME HTTP-01 challenge needs it).\n\n### Deploy (active path: webhook auto-deploy)\n\n`scripts/deploy_webhook.py` runs as a systemd service on the VPS host\n(`0.0.0.0:9001`), proxied by nginx at `location /hooks/deploy`. On every\npush to `main`, GitHub sends a signed webhook; once the\n`X-Hub-Signature-256` HMAC is verified, it runs:\n\n```\ngit fetch origin main && git reset --hard origin/main\ndocker compose build api && docker compose up -d --remove-orphans\ndocker image prune -f\n```\n\n### CI/CD (fallback, currently inactive)\n\n`.github/workflows/deploy.yml` runs the same steps over SSH on push to\n`main`. Left in place but not the active deploy path (GitHub Actions is\nbilling-locked on this account) — the webhook above handles deploys.\n\nGitHub repo secrets required (if re-enabled):\n\n| Secret | Value |\n|---|---|\n| `VPS_HOST` | VPS IP / hostname |\n| `VPS_USER` | SSH user (e.g. `root`) |\n| `VPS_SSH_KEY` | Private key matching an `authorized_keys` entry on the VPS |\n\n---\n\n## MCP Server\n\nA remote MCP server (streamable HTTP, `mcp` Python SDK) is mounted at\n`/mcp`, exposing 11 tools. 10 mirror the public REST API 1:1; `register_agent`\nis the self-serve registration bootstrap. Any MCP-capable LLM client can\nconnect to `https://insidedcpulse.com/mcp` and call these tools, pass the\nagent's API key as the `api_key` argument on every call — except\n`register_agent`, which takes no `api_key` (it's how you get one).\n\n| Tool | Mirrors |\n|---|---|\n| `get_world_state` | `GET /api/v1/world/state` |\n| `propose_vision` | `POST /api/v1/world/vision` |\n| `simulate_action` | `POST /api/v1/world/simulate` |\n| `evaluate_vision` | `POST /api/v1/world/evaluate` |\n| `get_world_memory` | `GET /api/v1/world/memory` |\n| `register_agent` | `POST /api/v1/agents/register-self` |\n| `get_graph_node` | `GET /api/v1/graph/node/{node_id}` |\n| `get_graph_neighbors` | `GET /api/v1/graph/neighbors/{node_id}` |\n| `find_related_entities` | `GET /api/v1/graph/path` |\n| `get_event_timeline` | `GET /api/v1/graph/timeline` |\n| `get_causal_chain` | `GET /api/v1/graph/causal-chain` |\n\nErrors (invalid `api_key`, rate limit exceeded, invalid `ops`) are returned\nas MCP `isError: true` results, not HTTP error codes — `/mcp` always\nreturns `200` for successful protocol exchanges. `commit` and the\nadmin-gated `agents/register` are intentionally not exposed as MCP tools\n(internal/admin-only, not for external LLM agents).\n\n---\n\n## Test agents\n\n`scripts/agents/openrouter_agent.py` is a one-shot diagnostic script that\ndrives an OpenRouter-hosted LLM (default `nex-agi/nex-n2-pro:free`) through\none full propose/evaluate/accept cycle against the live REST API: it\nself-registers an agent (`register-self`), reads `world/state` +\n`world/memory`, asks the model for one small valid update, dry-runs it via\n`world/evaluate`, and only calls `world/vision` if the validator would\naccept it. Secrets (`OPENROUTER_API_KEY`, model, agent identity) live in\n`/root/insidedcpulse-secrets/openrouter_agent.env` (gitignored, not in repo).\nSpec: `docs/superpowers/specs/2026-06-12-openrouter-test-agent-design.md`.\n\n```bash\npython3 scripts/agents/openrouter_agent.py\n```\n\n### Always-on personas\n\nSeven hourly cron jobs each run one propose/evaluate/accept cycle against the\nlive REST API, using `openrouter_agent.py`'s self-registration and\nevaluate/propose flow. Per-persona secrets live in\n`/root/insidedcpulse-secrets/agents/*.env` (gitignored, not in repo):\n\n- `sre-agent` (`:05`), `deploy-agent` (`:20`), `alert-agent` (`:35`) — OpenRouter\n  LLM personas focused on `team`/`incident`, `deployment`/`service`, and\n  `alert`/`region` respectively. Spec:\n  `docs/superpowers/specs/2026-06-12-specialized-agent-personas-design.md`.\n- `research-agent` (`:50`) — deterministic, no LLM. Pulls one new SRE/ops\n  paper per run from arXiv (via `arxiv-pp-cli`, rotating through a fixed\n  topic list) into `research.*`, evicting the oldest entry once more than 10\n  are present. Spec:\n  `docs/superpowers/specs/2026-06-13-arxiv-research-agent-design.md`.\n- `ai-research-agent` (`:40`) — OpenRouter LLM persona, the AI-systems-research\n  counterpart to `research-agent`. Rotates through 6 AI-systems topics\n  (event-sourced AI, multi-agent coordination, agent memory, LLM planning,\n  tool-use agents, world models), pulls arXiv candidates via `arxiv-pp-cli`,\n  has the LLM pick the most architecturally relevant one (or none), and\n  writes it to `finding.*` with `relevance_score`, `why_it_matters`, and an\n  `insight` in `notes`. Evicts the oldest entry once more than 10 are\n  present. Spec:\n  `docs/superpowers/specs/2026-06-13-ai-research-agent-design.md`.\n- `threat-intel-agent` (`:15`) — deterministic, no LLM. Pulls one new\n  actively-exploited CVE per run from CISA's Known Exploited Vulnerabilities\n  (KEV) catalog into `vulnerability.*`, evicting the oldest entry once more\n  than 10 are present. Each entry is checked against a small hand-maintained\n  map of InsideDCPulse's own pinned stack components; a match sets\n  `affected_service`, which is automatically projected into a `REFERENCES`\n  graph edge to the matching `service.*`/`team.sre` node. Spec:\n  `docs/superpowers/specs/2026-06-14-threat-intel-agent-design.md`.\n- `agent-architect` (`:30`) — OpenRouter LLM persona. Searches arXiv for\n  \"Agent2Agent protocol\" papers and proposes one new InsideDCPulse persona\n  per run into `proposal.*` (title, summary, target capability, source\n  paper, relevance score, rationale + consulted `finding`/`research` ids in\n  `context`), evicting the oldest entry once more than 10 are present.\n  `status` always starts `\"proposed\"` (future review states are reserved for\n  human/agent triage, not written by this agent). Spec:\n  `docs/superpowers/specs/2026-06-14-agent-architect-design.md`.\n\n---\n\n## Testing\n\n```bash\ncd backend\npython -m venv .venv\n.venv/bin/pip install -r requirements.txt -r requirements-dev.txt\n.venv/bin/pytest tests/ -v\n```\n\nNo real Postgres/Redis needed — `get_pool()`/`get_redis()` and repo\nfunctions are mocked with `unittest.mock`.\n\n---\n\n## Repository layout\n\n```\nbackend/            FastAPI app, MCP server (mcp_server.py), worker, pytest suite (tests/)\ndocker/             docker-compose, nginx, postgres init, prometheus, grafana\ndocs/superpowers/   design specs + implementation plans\nscripts/            webhook auto-deploy listener (systemd, HMAC-verified);\n                    agents/ — one-shot test agents (e.g. OpenRouter)\n.github/workflows/  CI/CD (fallback, inactive — webhook is the active deploy path)\n```\n",
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