# Flows — the autonomous agents **Runtime:** n8n · **Mode:** autonomous · Two agents in one repo. | Agent | Client id | Trigger | |---|---|---| | the supply agent | `classic-models-agent-supply` | event-driven, plus a periodic ordering run | | Recouvrement | `classic-models-agent-recouvrement` | weekly, Monday | They share a repo because they are not code: n8n workflow exports, same tool, same owner. Splitting them would buy nothing. ## Why low-code for these two Their work is rules, thresholds and due dates — a sequence of conditions and calls, which a visual editor expresses better than code. The LLM is optional on their critical path, which makes them cheaper and more predictable than the conversational agents. They remain full A2A agents: they publish an Agent Card, accept tasks, answer. ## Supply | | | |---|---| | MCP | catalog, sales | | Scopes | `catalog:read`, `catalog:write`, `sales:read` | Detect coming stock-outs, propose reorders — **two jobs with two different triggers**, which an earlier revision of this file collapsed into one nightly run. *Detection is reactive.* It depends on something happening: an order placed, a stock level crossing a threshold. Finding that out up to a day later is latency chosen for nothing, and a nightly sweep re-reads the whole catalog to rediscover what the domain already knew at the moment it changed. *Proposing a purchase order is periodic.* Nobody reorders on every unit sold; orders are grouped by supplier lead time and buying cycle. A clock is the right trigger there, and that run is periodic on purpose rather than a batch standing in for events. Worth naming, because it changes what has to be built: **the autonomous mandate is a cost of the trigger, not of the business need.** `offline_access`, a refresh token stored encrypted and an exchange at trigger time are required only because nobody is present at 3am. An agent woken by a domain event runs moments after a human acted. **Exposes** `check_availability` — called by Ventes before promising a delivery date, and by Catalogue before discontinuing a reference. Returns a decision and a date, never the stock table. ## Recouvrement | | | |---|---| | MCP | customers, payments | | Scopes | `customers:read`, `payments:read`, `payments:write` | Weekly: unpaid invoices past 30 days, dunning, escalation. **Exposes** `check_creditworthiness` — called by Ventes before accepting a large order. **Dunning is prepared automatically and sent only after human validation.** Sending a letter to a customer is an outward-facing action; a rule bug would otherwise write to the entire customer base in one run. ## The A2A server gap The available n8n community nodes ([n8n-nodes-a2a](https://github.com/agentic-layer/n8n-nodes-a2a), [n8n-nodes-agent2agent](https://github.com/pjawz/n8n-nodes-agent2agent)) make n8n an A2A **client**: `Discover Agent`, `Send Task`. But both agents here must be **servers** — Ventes calls them. That needs an Agent Card on `/.well-known/agent.json` and a JSON-RPC endpoint with the task lifecycle. n8n webhooks can do it by hand, at which point it stops being no-code. Preferred approach: **Kong in front of n8n**, exactly as it fronts every other resource. Kong serves the Agent Card statically and routes JSON-RPC to the webhook, and token verification lands where it already lives. No new component. Alternative: a small FastA2A adapter, written once for both — see `classic-models-agent-catalogue`, which uses FastA2A already. ## An autonomous run is a machine identity **Superseded, 2026-08-29.** An earlier revision had these agents act under an `offline_access` mandate: a user authorises the agent, their refresh token is stored encrypted, and it is redeemed at trigger time so `sub` stays the person who mandated. That was built and then withdrawn, because it is not true. **An agent running on its own account acts for itself.** Nobody asked for the 06:00 run; naming a person as its principal is a fiction, and choosing which person is arbitrary — the first implementation picked whichever test user was to hand. It also cost more than it was worth. An offline token has no `exp`; it dies only after 30 days unused, is not rotated on use (`revokeRefreshToken: false`), and is revocable only by killing that user's offline session. A permanent bearer credential, standing in for a consent nobody gave. So: `client_credentials`, and the service account carries the realm role the job needs. For the periodic reorder run that is **`read_only`** — so `create-product` is not merely unused, it is **invisible** to that identity. Least privilege enforced by the realm and the gateway rather than by the workflow behaving itself. Verified: `tools/list` under the machine identity returns `get-product` and `list-products`, nothing more. What does *not* change: `azp` still names the agent, the audiences are still per-server, and the MCP server still derives the consumer group from the token's roles. Downstream policy still needs no knowledge of the trigger mode — it reads roles, and a service account has roles like anyone else. **Where a mandate would still be right:** when a person's own authority is genuinely in play — an action they are accountable for, or data scoped to them. Recouvrement's dunning is the candidate, and it is a human-validated step already. The `classic-models-mandate` client is left in the realm, unused, for that case. ## Events over Kafka — built, and one rule about them Built 2026-08-31. `classic-models-api` emits domain events through a transactional outbox; a relay publishes them; `supply-stock-watch` consumes `product.stock_changed` and is the reactive half this repo had been waiting on. The contract is `classic-models-api/docs/DOMAIN_EVENTS.md` — read it before writing a consumer. **An event carries no actor, and that is deliberate.** An earlier draft of this file said the opposite — that the event had to carry `sub` and `azp` from the caller's token so a downstream agent could act under the same authority. The user overruled it: > *"Nous gérons ici des événements, pas des 'commandes'. L'agent s'exécute avec > sa propre identité machine, on se fout de savoir qui est à l'origine de > l'émission de l'événement."* The reasoning, kept because it generalises: an event is a **fact**, not a command. A consumer acts under its own identity. An actor field would have had no consumer and one obvious misuse — anyone able to write to the topic could name any actor and have an agent act as them. A signed token is proof; a JSON field is not. Causality travels as `traceparent`, in the system that exists for it. The emission still belongs **in the API** rather than in a database CDC or a gateway plugin: only the API knows which change is a business event rather than a row update. ## Two controls that become mandatory here Both **built** 2026-08-31, before the first agent looped unattended. - **Read volume caps per `(azp, sub)`** — a scope authorises a read and says nothing about volume; an agent reads a thousand records where a human clicks ten. - **Authorisation on tool-call parameters**, not just the tool name. `write` authorises writing, not "this €40k transfer". The rules that stay true whatever is built next: an autonomous agent hitting a rule that requires approval must **fail cleanly and escalate**, never decide. And any approval screen must be rendered from the structured tool-call parameters — never from a sentence the model produced, or a prompt injection writes what the human validates. ## Before writing workflows Read `classic-models-agent-platform/CLAUDE.md` for the identity model, the endpoints and the known blockers. Deliverables in English. Export workflows as JSON and commit them; do not rely on the n8n instance as the source of truth. ## The Kafka credential is created by hand `kafka-classic-models` in n8n holds the SCRAM password of the `classic-models-agent-supply` KafkaUser and the Strimzi cluster CA. It is not in this repo and must not be: n8n encrypts stored credentials with `N8N_ENCRYPTION_KEY`, and the committed workflow JSON references it by id only. To recreate it after a rebuild: ``` kubectl -n kafka get secret classic-models-agent-supply \ -o jsonpath='{.data.password}' | base64 -d kubectl -n kafka get secret kafka-cluster-ca-cert \ -o jsonpath='{.data.ca\.crt}' | base64 -d ``` then POST to `/rest/credentials` with type `kafka`, `ssl: true`, the CA in the `ca` field, `saslMechanism: scram-sha-512`, brokers `kafka-kafka-bootstrap.kafka.svc.cluster.local:9093`. The workflow's `credentials.kafka.id` then needs the new id. The KafkaUser itself lives in `infra-kafka/kafka-users.yaml`.