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## 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) --------- Co-authored-by: Aleksi Asikainen <1086393+salieri@users.noreply.github.com> |
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