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Configure an Instance from a Generic node

Bind a Generic node's port to a real type in the console wizard or with axiom instance create — author nested message-typed fields, toggle repeated/optional, and preview a mapping's exact output before you save.

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An Instance binds a Generic node's port(s) to a real, specific message type. The shortest path — one flat, scalar-only message per port — is covered in axiom instance create and the marketplace's Generic Nodes tab. This guide covers the richer authoring model both surfaces also support: a field whose type is itself another message, defined inline and recursively; repeated/optional field modifiers; and previewing a mapping's exact output before you commit to a shape.

Nothing you author while configuring an Instance becomes a real, queryable registry message until you save (console) or run axiom instance create (CLI) for the whole Instance. Closing the wizard, hitting Cancel at any nesting level, or a failed create leaves nothing behind — every nested message you draft is synthesized transactionally, in the same request that creates the Instance, never as a separate call per message.

Which ports you have to bind

You bind the ports you want to re-type. Any port you leave unbound keeps the Generic node's own concrete message, passed through unchanged.

The Generic node keeps executing underneath — an Instance is a facade over it, not a replacement for it. So an unbound port is not a hole: it is the Generic's published contract, with no reshape applied in either direction. Three combinations, all valid:

What you bindThe Instance's inputThe Instance's output
Both portsyour input facadeyour output facade
Input onlyyour input facadethe Generic's own output message, verbatim
Output onlythe Generic's own input message, verbatimyour output facade

At least one port must be bound — an Instance that re-types nothing is just the Generic node.

This holds whether or not the Generic declared the port in generic_ports. A node that declares generic_ports: [input] and returns a fully concrete output is a perfectly good thing to instantiate: you re-type its input, and its output arrives exactly as the node published it. You do not need a facade you have no reason to write.

What an inherited port means when you use the node

  • Invoking. axiom invoke your-handle/pkg/Node returns the Generic's message, in the Generic's field names, as JSON — the same bytes the Generic node itself would return.
  • Composing. axiom info your-handle/pkg reports the inherited message name, so a flow edge wires from it like any other typed port.
  • Mapping. --output-map/--input-map apply to a port you bind. There is nothing to map on an inherited port; passing a map for an unbound port is an error.

Combinations that are refused at create time

Two combinations cannot be served at invoke time, so axiom instance create rejects them with a 400 naming the reason rather than accepting them:

  • Leaving a port unbound when the Generic node declares no concrete message for that port either — there is nothing to inherit.
  • Naming a facade message the same as a message in the Generic node's own package while some port is inherited. Both sets of messages are then compiled together, and a shared name resolves ambiguously. Rename the facade message, or bind both ports so nothing is inherited.

Prerequisites

  • You are logged in to the Axiom app, and the CLI has run axiom login (Installation).
  • A published Generic node exists to instantiate — a package with kind: generic and at least one generic_ports entry (see Generic and Instance nodes). Browse one via the marketplace's Generic Nodes tab.

Configure an Instance in the console

Open the wizard from the marketplace's Generic Nodes tab (Create Instance on a node's detail page) or by navigating to /instances/new. Each generic port (output, input, or both) gets its own column with two steps: Select message, then Map fields.

Author a message with nested fields

In Step 1, Create new message opens a form: a message name, then a list of fields. Each field has a name and a type — either a scalar (string, int32, int64, uint32, uint64, double, float, bool, bytes) or message, a reference to another message.

Picking message opens a picker with its own Create new message button — authoring a nested message reuses the exact same form, recursively. There is no fixed depth limit in the UI; author as many levels as the shape actually needs (the server enforces a generous cap — see Limits on a drafted message tree below). Today, a nested field's message type can only be an inline, freshly authored message — picking an already-published message as a nested field's type is not yet supported end to end (it would carry no field definitions of its own, and the request is rejected). Author the nested shape inline instead.

Each field also has independent repeated and optional toggles. They're mutually exclusive — proto3 forbids repeated optional — so turning one on clears the other.

A Proto preview toggle on the form shows the exact .proto text your current name/fields/modifiers produce, live, recomputed on every keystroke — useful for confirming a nested shape's rendered syntax before committing.

Map fields and preview the mapping

Step 2 renders the same field-mapping panel used for ordinary flow edges, so target fields bind to source values by name, CEL expression, or literal. Its collapsible Preview section runs your mapping against sample JSON you type per source, showing the exact value it currently produces or the mapping error blocking it — the same engine the registry and worker use at real compile/dispatch time, not an approximation. This works identically whether every message involved is already real or one is a message you just authored in Step 1: an as-yet-undrafted message is sent to the preview endpoint as an inline definition instead of a registry name, so you can iterate on a brand-new nested shape and see real output before anything is saved.

Name and save

Once every declared generic port shows resolved, name the Instance (your-handle/instance-name) and click Save instance. The whole draft tree — the top-level facade for each port plus every nested message, however deep — is synthesized in one transaction; a validation failure at any level leaves nothing behind.

Configure an Instance with the CLI

axiom instance create supports the same two authoring shapes as the console, chosen per port.

Flat fields (the common case)

--output-field/--input-field name=kind (repeatable) covers a flat, scalar-only message — see axiom instance create for the full flag reference. This shape is unchanged and always available.

Document each field with --output-field-description/ --input-field-description name=text (repeatable), and the message itself with --output-message-description/--input-message-description:

axiom instance create acme/orders-query \
  --generic-package acme/postgres-query --generic-node "Postgres Query" \
  --output-message OrderSummary \
  --output-message-description "A one-line summary of one order." \
  --output-field id=int64 --output-field total=double \
  --output-field-description "id=The order's primary key." \
  --output-field-description "total=Order total in minor units, including tax."

A facade is the node's public interface: a caller sees only the field names, their types, and these sentences. Say what the field means, plus its format/units/allowed values where they aren't obvious. A description whose name doesn't match a declared --output-field is rejected locally rather than silently dropped, so a typo can't quietly lose documentation.

Nested fields with a fields-file

For repeated/optional modifiers, or a field whose type is another message (recursively), pass --output-fields-file/--input-fields-file instead: a path to a JSON file shaped {"message_name": "...", "fields": {...}}. Each value in fields is either:

  • a bare scalar-kind string ("total": "double") — identical to the flat shape, and
  • a JSON object for anything richer: {"kind": "<scalar>", "repeated": true}, {"kind": "<scalar>", "optional": true}, or {"kind": "message", "message": {"message_name": "...", "fields": {...}}} for a nested, not-yet-real message.

Any object-form field, and the file itself, may carry a "description" — that field's or message's documentation. Descriptions never change the wire shape; they surface in the node's schema, its generated docs, and the console's field tooltips.

--output-fields-file is mutually exclusive with --output-message/ --output-field on the same port — pick one shape of input per port. --input-fields-file is likewise exclusive with --input-message/ --input-field. The two ports are independent: the output port can use a fields-file while the input port uses flat flags, or vice versa.

The batch --from manifest accepts the identical rich field form inline: a node's per-port fields: value is either a bare scalar-kind string (count: int64) or the same object ({kind: string, repeated: true}, {kind: <scalar>, optional: true}, or a {kind: message, message: {...}} nested tree). A repeated/nested facade field goes straight in the manifest — no separate fields-file append needed.

A worked example — an OrderSummary output facade with a top-level repeated field and a nested Customer message:

{
  "message_name": "OrderSummary",
  "description": "A one-line summary of one order.",
  "fields": {
    "id": "int64",
    "tags": { "kind": "string", "repeated": true, "description": "Free-form labels on the order." },
    "customer": {
      "kind": "message",
      "description": "Who placed the order.",
      "message": {
        "message_name": "Customer",
        "description": "The ordering customer.",
        "fields": {
          "name": { "kind": "string", "description": "Full name as given at checkout." },
          "age": { "kind": "int32", "optional": true, "description": "Age in years; absent if not collected." }
        }
      }
    }
  }
}

Save that as order-summary.fields.json and pass it in:

axiom instance create acme/orders-query \
  --generic-package acme/postgres-query --generic-node "Postgres Query" \
  --version 0.1.0 \
  --package-description "Typed Postgres orders query" --description "Return an order summary by id" \
  --output-fields-file ./order-summary.fields.json

--version is the author-chosen shell package version (semver; defaults to 0.1.0, and an append inherits the package's version). --package-description / --description set the marketplace text for the package and this node — an Instance has no axiom.yaml, so set them or it lists blank.

OrderSummary and Customer are both synthesized in the same request that creates acme/orders-query — neither exists as a registry row if the request fails validation at any level.

Preview a mapping before you create

axiom instance preview wraps POST /adapters/preview verbatim — the same engine the registry compiler and worker use at real dispatch time, run against sample JSON you supply, with no live invoke. It reads a request body from --request-file (or stdin):

{
  "dst_msg_name": "OrderSummary",
  "sources": [
    {"edge_id": "e1", "msg_name": "Order", "sample": {"id": 1, "amount": 42.5}}
  ],
  "adapter": {"total": "$.amount"}
}

Exactly one of adapter (a single-edge mapping) or compose_mapping (a multi-source compose consumer) is required. Any msg_name slot — dst_msg_name, or a sources[] entry — accepts a bare registry message name (a JSON string, as above) or an inline draft in place of it: the identical {"message_name": ..., "fields": {...}} shape the fields-file above uses, letting you preview a mapping against a message you haven't created yet:

{
  "dst_msg_name": {"message_name": "OrderSummary", "fields": {"total": "double"}},
  "sources": [{"edge_id": "e1", "msg_name": "Order", "sample": {"amount": 42.5}}],
  "adapter": {"total": "$.amount"}
}
axiom instance preview --request-file ./preview-request.json

A mapping-level failure (bad expression, type mismatch, unresolvable field) prints as an error and exits non-zero — it's a property of the mapping you're iterating on, not a malformed request. Once the output looks right, reuse the exact same message shape as the fields-file input to axiom instance create. See axiom instance preview for the full flag reference.

Declare secrets an Instance needs

An Instance that calls a keyed API (an HTTP connector needing an API key, for example) declares the secret names it reads at runtime, the same way an ordinary node does with required_secrets in axiom.yaml. Since ADR-170, this is delivered to any invoking tenant that has configured a value under that name — regardless of who authored the package — and enforced at compile/invoke time: an invoker who hasn't set a declared secret gets a clear, fail-closed error instead of the flow silently running with a not-found result.

In the CLI, pass --required-secret NAME (repeatable) to axiom instance create:

axiom instance create nadia/openai/ChatCompletion \
  --generic-package nadia/http-tools --generic-node Request --generic-version 0.2.0 \
  --required-secret OPENAI_API_KEY \
  --description "Chat completion" --package-description "OpenAI connector"

In a --from manifest, add required_secrets under the node:

nodes:
  - node: ChatCompletion
    description: Chat completion
    required_secrets: [OPENAI_API_KEY]
    input: { message: ChatRequest, fields: { prompt: string } }
    output: { message: ChatReply, fields: { text: string } }

Names only — never values. A secret's value is set by a human in the console's Secrets page; there is no CLI or agent write path for a secret value (deliberate: an agent driving the CLI must never be able to author a user's credentials). See Manage secrets in a flow.

See what an Instance actually does before trusting it with a secret

axiom instance inspect <handle>/<package>/<node> is a transparency viewer: it shows the exact pinned Generic node an Instance runs as (an Instance carries no code of its own), that Generic's real source, the compiled request/response adapter mappings in both directions, and the instance's declared required_secrets — in one bundle, so you can see exactly where a secret ends up (which header, which query parameter) before you configure one for it.

axiom instance inspect nadia/openai/ChatCompletion
axiom instance inspect nadia/openai/ChatCompletion --json

This is a viewer, not an automated audit or a gate — it surfaces facts (the same bundle is shown in the marketplace website and the editor's node panel) and leaves the trust decision to you.

Limits on a drafted message tree

Both surfaces synthesize (console Save) or accept (CLI preview/create) a draft tree under the same bounds, so a request fails fast with a clear error instead of an unbounded compile:

LimitBound
Nesting depth (top-level message counts as depth 1)10
Distinct messages in one tree (both ports combined)100
Fields on any one message200
Request body size1 MiB

A name reused for two different shapes within one request is rejected as a collision; drafting the identical name and shape twice (for example, the same nested message referenced from both the output and input port) is a harmless dedup, not an error.