## Summary
Template failures from `fabro run` and structural warnings from `fabro
validate` now preserve source provenance through rendering, workflow
transforms, API serialization, and CLI display. Diagnostics can point at
the actual workflow, import, or prompt file with node/attribute context
instead of surfacing MiniJinja's generic `<string>` source.
## What Changed
- Added named MiniJinja render APIs plus miette-aware `TemplateError`
metadata for source names, source text, spans, and labels.
- Reworked workflow template expansion so inline attributes, imported
workflows, and `@prompt` files render with file and owner context.
- Split strict run behavior from structural validate behavior: run-start
still hard-fails on missing inputs, while validate emits source-aware
warnings and continues linting.
- Extended validation diagnostics through Rust structs, OpenAPI, server
DTO mapping, and CLI rendering with optional source path, line, column,
span, and related metadata.
- Added regression coverage across template rendering, workflow
transforms, CLI output, and the server validate endpoint.
## Verification
- `cargo nextest run -p fabro-template`
- `ulimit -n 4096 && cargo nextest run -p fabro-workflow --no-fail-fast`
- `cargo nextest run -p fabro-cli
bare_fabro_with_unbound_inputs_validates_structurally_with_warning
run_rejects_unbound_template_inputs_before_creating_remote_run`
- `cargo nextest run -p fabro-server
validate_endpoint_returns_template_source_coordinates`
- `cargo build -p fabro-api`
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings`
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 via [Codex](https://openai.com/codex)
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Co-authored-by: Aleksi Asikainen <1086393+salieri@users.noreply.github.com>
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