Add implementation instructions

Design agreed in discussion, nothing built yet. Records the agent's role, its
scopes and MCP servers, its A2A surface, and the framework choice with its
reason — so the next session starts from the decisions rather than re-deriving
them.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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Stéphane Tailland
2026-08-26 15:14:41 +02:00
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# Flows — the autonomous agents
**Runtime:** n8n · **Mode:** autonomous · Two agents in one repo.
| Agent | Client id | Trigger |
|---|---|---|
| Approvisionnement | `classic-models-agent-approvisionnement` | nightly |
| 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.
## Approvisionnement
| | |
|---|---|
| MCP | catalog, sales |
| Scopes | `catalog:read`, `catalog:write`, `sales:read` |
Nightly: detect coming stock-outs, propose reorders.
**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.
## The autonomous mandate
No user session exists when these run, so authority must be pre-established: the
user obtains `offline_access` when creating the mandate, the refresh token is
stored encrypted, and the exchange happens at trigger time. `sub` stays the user
who mandated, `azp` says which agent acted.
The MCP servers see no difference between an autonomous and a conversational
call — same `sub`, same `azp`, same audiences. That is deliberate: downstream
policy must not need to know the trigger mode.
## Two controls that become mandatory here
They were deferrable with a human in the loop. They are not, once an agent
loops on its own.
- **Read volume caps per `(azp, sub)`**, enforced on Kong. An agent reads a
thousand records in seconds where a human clicks ten; a scope authorises the
read but says nothing about volume.
- **Authorisation on tool-call parameters**, not just the tool name. `write`
authorises writing, not "this €40k transfer".
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.