fabro/docs/public/core-concepts
Bryan Helmkamp 02d4ab896c
Support graph-level acp.command and acp.config defaults
Workflows that run the same ACP agent on several nodes had to repeat the
process attribute on every node. `acp.command` and `acp.config` were read
only from the node (`Node::acp_command_attr`), with no graph-level
fallback.

Add `AcpDefaultsTransform`, which materializes the graph-level value onto
nodes before validation. The handler's `resolve_acp_process_spec` takes
only a `Node`, so reading the graph at the use site (as `retry_target`
does) would mean threading a `Graph` through the handler. As a transform,
neither the handler nor `backend_valid` changes, and `fabro validate` and
`fabro run` stay in agreement because both go through `pipeline::transform`.

The two attributes are mutually exclusive, so they inherit as a pair: a
node setting either one keeps its own and inherits neither. Only nodes
with `backend="acp"` inherit, keeping the attributes off `start`/`exit`
and API nodes.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-07-27 14:59:28 -04:00
..
agents.mdx Support graph-level acp.command and acp.config defaults 2026-07-27 14:59:28 -04:00
how-fabro-works.mdx Replace run-scoped sandbox config with named environments (#360) 2026-05-23 13:03:21 -04:00
models.mdx fix(agent): simplify GPT-5.6 tool routing 2026-07-25 11:49:40 -04:00
workflows.mdx refactor(workflow): remove retro stage (#230) 2026-05-09 10:18:20 -04:00