The reactive half of the agent. It consumes product.stock_changed from the catalog topic and reports only a crossing of the threshold — every further order line on an already-low reference would otherwise raise the same alarm, and an agent that repeats itself is one a human learns to ignore. A stock-out is treated as its own fact even when the reference was already low. The detection lands on a watchlist readable over a webhook, because a proposal that reached only an execution log would be lost between two nightly runs. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
9.3 KiB
Workflows
Exported as JSON and committed. The n8n instance is not the source of truth.
Deploying a change
n8n does not re-register an active workflow when you PATCH it. The running webhook keeps executing the definition it was activated with, so an edit appears to have no effect — and the failure it keeps producing is the old one, which is a very good way to spend an afternoon debugging something already fixed.
Deactivate, apply, reactivate, in that order:
POST /rest/workflows/<id>/deactivate {"versionId": "<current>"}
PATCH /rest/workflows/<id> {"nodes":…, "connections":…, "versionId": "<current>"}
POST /rest/workflows/<id>/activate {"versionId": "<current>"}
versionId changes at every step, so re-read it each time. And note
PATCH {"active": true} returns 200 and leaves the workflow inactive, silently:
activation has its own endpoint.
approvisionnement-check-availability
Working. POST /webhook/check-availability with the end user's token in
X-Subject-Token:
"Peut-on promettre S10_1949 ?"
→ {"answer":"Yes — 1952 Alpine Renault 1300 (S10_1949) can be promised:
7305 in stock, above the reorder threshold of 50.","escalate":false}
"Peut-on promettre la Vespa ?"
→ {"answer":"No product reference in the question…","escalate":true}
It exchanges the token itself, using the agent's client secret from the pod
environment so the committed JSON holds no secret, then talks MCP in two calls:
initialize to obtain the session id from a response header, then
tools/call. No notifications/initialized is needed.
MCP rather than the REST route, which would have been one call instead of two: the per-tool ACL by consumer group lives on the MCP route only. Going through REST would give an autonomous agent broader access than a conversational one, which is exactly backwards.
The product code is read with a regex, not a model. This agent's critical path is rules; a question naming no product escalates rather than being guessed at. The regex is loose after the underscore on purpose — a reference that looks valid but does not exist must reach the catalog and come back as "no such product", because answering "you named no product" would be false.
The one that took longest
A product code that does not exist returned an empty body, and the reason is worth keeping.
MCP does not report a tool failure as a JSON-RPC error. It reports it as a
perfectly successful result carrying isError: true, with the reason as
text:
data: {"jsonrpc":"2.0","result":{"content":[{"type":"text",
"text":"HTTP call failed with status 404: {\"detail\":\"Not found.\"}"}],
"isError":true},"id":2}
A client that only checks rpc.error therefore reads a failure as data. This
one went on to JSON.parse the sentence "HTTP call failed with status 404" as
if it were a product, threw, and the webhook answered nothing at all.
Two lessons, both now in the node:
- check
result.isError, not justerror— they mean different things: a protocol failure versus a tool that ran and failed; - guard every
JSON.parseof a payload you did not construct. The throw is what turned a wrong answer into no answer, which for an autonomous agent is the worse of the two.
Now:
"Peut-on promettre S99_NOPE ?"
→ {"answer":"There is no product S99_NOPE in the catalog.","escalate":true}
and through the A2A facade, escalate: true becomes a task in state failed
rather than a completed one — the honest shape for "a human has to look at
this".
approvisionnement-periodic-reorder
The periodic half. A schedule trigger at 06:00, deliberately periodic rather than a batch standing in for events: grouping references into a purchase proposal follows a buying cycle, while detecting a coming stock-out is reactive and waits for Kafka.
Verified end to end on the live catalog:
scanned 110 of 110, complete
1 reference below the threshold of 50:
S24_2000 1960 BSA Gold Star DBD34 (Highway 66 Mini Classics)
on hand 15 → propose ordering 135
escalate: true
It acts under its own machine identity
client_credentials, not a mandate. An agent running on its own account acts
for itself — nobody asked for the 06:00 run, so naming a person as its principal
is a fiction and choosing which person is arbitrary.
The service account carries read_only, and the MCP server maps that to a
consumer group at discovery, so create-product is not merely unused — it is
invisible to this identity:
tools/list under the machine identity → get-product, list-products
Least privilege enforced by the realm and the gateway rather than by this
workflow behaving itself. An earlier revision used an offline_access mandate;
see CLAUDE.md for why it was withdrawn.
The proposal has nowhere to go
It is computed and escalated, never written, because there is nothing to write
it to: the classicmodels schema has no purchase order and no supplier entity —
productvendor is a string on the product — and the catalog's only write tool
is create-product, which is the Catalogue agent's business.
So catalog:write was not granted to this agent, contrary to the design's
scope list. A scope with no reachable target is an authorisation waiting for a
use, which is the wrong order.
Closing this needs a reorders entity in the domain, or a channel to a human —
there is no mail server in the cluster either. Same shape as the design's own
note that a Livraison agent needs a shipments domain first.
It scans one page, on purpose
200 covers the 110 references, and the node reports complete: false and
escalates if it ever does not. A proposal set computed from part of the catalog
looks exactly like one computed from all of it, so the difference has to be in
the output. A catalog that outgrows one page needs a paging loop and the
read-volume cap this repo already lists as mandatory for autonomous agents.
approvisionnement-stock-watch
The reactive half, and the one the design had been waiting on. It is woken by
product.stock_changed on classic-models.catalog rather than by a clock, so a
reference that runs low at 14:32 is noticed at 14:32 instead of being reported
at 06:00 the next morning.
Verified end to end against the live catalog:
S12_1099 68 → 38 detected: "fell from 68 to 38, below the threshold of 50"
38 → 30 not detected — already below, figures refreshed instead
30 → 0 detected: "is out of stock. Nothing can be promised."
0 → 68 not detected, entry refreshed (a correction, not demand)
POST {"clear":["S12_1099"]} → watching: 0
Only a crossing is news
before >= threshold && after < threshold. Without that test, every further
order line on an already-low reference raises the same alarm again, and an agent
that repeats itself is one a human learns to ignore.
A stock-out is treated as its own fact even when the reference was already below the threshold: low and nothing left to promise are different problems.
A movement that changes nothing newsworthy still refreshes an entry already being watched. Otherwise the watchlist would show the figure from the moment of detection, which is the number least likely to still be true.
reason carries order:<n> for demand and manual-adjustment for someone
correcting the books. Both can justify a purchase order; only demand says
anything about the future, so the distinction is recorded rather than filtered
on.
The detection has somewhere to go
$getWorkflowStaticData('global'), keyed by reference, readable over
GET /webhook/stock-watchlist and cleared with
POST {"clear": ["S24_2000"]}. The purchase proposal still has nowhere to be
written — the domain has no purchase order and no supplier entity — but a
detection that only reached an execution log would be lost between two nightly
runs, which would make the reactive half pointless.
The obvious next consumer is check-availability: "can we promise X?" is a
better answer when it knows X crossed the threshold at 14:32.
Kafka details worth keeping
- The offset moves only on success (
resolveOffset: onCompletion,allowedStatuses: ["success"]). A failed execution replays its event rather than losing it — for an autonomous agent a detection dropped in silence is worse than one made twice. fromBeginning: false. Otherwise every restart replays the whole retention window and re-detects crossings dealt with days ago.- Most messages on the topic are not
stock_changed, and the workflow says so explicitly and succeeds. A workflow that threw on an uninteresting event would replay it forever. - The consumer has its own SCRAM account,
classic-models-agent-approvisionnement: Read on that one topic and that one consumer-group prefix. It cannot read sales or payments, and it cannot write — so a compromised workflow can raise no event another agent would act on.
Two traps
- n8n's Kafka credential has a
cafield. The cluster CA goes there, so there was no need to touchNODE_EXTRA_CA_CERTSor to disable verification. Not obvious from the node's UI, which shows it only oncesslis on. - A webhook declaring several methods has one output per method, in the
order declared. Wiring only the first silently drops every POST: the execution
reports success and n8n answers
No item to return was found.