## 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>
## Summary
`fabro validate` had inconsistent behavior for undefined template
variables depending on whether the prompt was inline or loaded via an
`@file` reference. Inline `{{ inputs.foo }}` produced a warning and
validation passed; the same expression inside a `@file`-imported prompt
produced a hard validation error.
Fixes#286.
## Root cause
Two template-rendering passes with different strictness, applied to
disjoint inputs:
1. **DOT-source pass**
(`lib/crates/fabro-workflow/src/operations/create.rs`) honored
`RenderMode::Structural` for `fabro validate` — undefined variables
downgraded to a `Severity::Warning` diagnostic, then lenient render
finished the job.
2. **Per-attribute pass**
(`lib/crates/fabro-workflow/src/transforms/variable_expansion.rs`)
inside `TemplateTransform` was always strict and had no `RenderMode`
awareness. Because `FileInliningTransform` runs *before*
`TemplateTransform`, expressions inside `@file` content only ever
encountered the strict pass.
## Fix
- Plumb `RenderMode` through `TransformOptions` into
`TemplateTransform`.
- In `RenderMode::Structural`, the transform catches
`TemplateError::UndefinedVariable` per attribute, emits a warning
diagnostic, and falls back to `render_lenient`.
- Diagnostics flow through a new `Transformed.diagnostics` field into
`Validated` alongside lint output.
- Diagnostics now include `node_id` when the undefined variable was
found inside a node attribute, which is more useful than the previous
"at line 1" location.
- `RenderMode` and the shared `template_undefined_variable_diagnostic`
helper moved to `pipeline/types.rs` so the transform layer can reach
them without a circular dep.
Strict mode (`fabro run`, preflight) is unchanged — undefined inputs
still hard-fail before a run is created.
## Behavior
Illustrative output shapes (variable names and line numbers depend on
the fixture):
Inline prompt (unchanged):
```
warning: undefined template variable `inputs.<name>` at line <n> (template_undefined_variable)
Validation: OK
```
`@file`-imported prompt (previously a hard error, now matches inline —
node-attributed instead of line-attributed):
```
warning [node: <id>]: undefined template variable `inputs.<name>` in node `<id>` (template_undefined_variable)
Validation: OK
```
## Test plan
- [x] `cargo nextest run --workspace` — 5773/5773 passing
- [x] `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings` clean
- [x] `cargo +nightly-2026-04-14 fmt --check --all` clean
- [x] New regression test
`bare_fabro_with_unbound_inputs_in_imported_prompt_validates_structurally_with_warning`
in `lib/crates/fabro-cli/tests/it/cmd/validate.rs` against new fixture
`test/templated_unbound_imported/`
- [x] Existing
`bare_fabro_with_unbound_inputs_validates_structurally_with_warning` and
`strict_render_hard_fails_on_unbound_inputs` still pass — verifies
inline structural and run-start strict behavior are both preserved
- [x] Manual reproduction of the exact inputs from the issue now
succeeds with a warning
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Aleksi Asikainen <1086393+salieri@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Simplifies the greenfield PR/run schema surface by collapsing alias-only
type shims and removing legacy compatibility paths that kept old wire
shapes and workflow names alive.
## Changes
- Use canonical `Run`, `PullRequestLink`, `PullRequestResponse`,
`BoardColumn`, `WorkflowSettings`, SWR `Key`, and `SteerRunRequest`
names directly across Rust and web code.
- Remove legacy PR/event deserialization compatibility for old PR
records and command output fields, with tests updated to reject stale
wire shapes.
- Drop obsolete workflow aliases for `agent_loop`, `one_shot`,
`codergen_mode`, and `stack.child_dotfile`, then update docs and tests
to the current names.
## Verification
- `git diff --check`
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings`
- `cargo nextest run -p fabro-types -p fabro-api -p fabro-client -p
fabro-store -p fabro-server -p fabro-workflow -p fabro-cli`
- `cd apps/fabro-web && bun run typecheck`
- `cd apps/fabro-web && bun test`
---
[](https://github.com/EveryInc/compound-engineering-plugin)
Generated with GPT-5 via [Codex](https://openai.com/codex)
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Add CLI support for run parent relationships now that the server API can
store them. This lets users create child runs, filter children, inspect
parent metadata, and link or unlink parents without dropping to raw API
calls.
## What Changed
- Added top-level `fabro parent link` and `fabro parent unlink` commands
with selector resolution, text output, and JSON summaries.
- Added `--parent` to `fabro run`, `fabro create`, and `fabro ps`;
create/run send `parent_id` in manifests and `ps` uses server-side
parent filtering.
- Surfaced `parent_id` in `ps --json` and `inspect`, with a conditional
`PARENT` column for unfiltered tables.
- Extended `fabro-client` parent-link APIs and
`list_store_runs(parent_id)`.
## Test Plan
- `cargo nextest run -p fabro-cli`
- `cargo nextest run -p fabro-client`
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy -p fabro-cli -p fabro-client
--all-targets -- -D warnings`
- `cargo insta pending-snapshots`
- `git diff --check`
---
[](https://github.com/EveryInc/compound-engineering-plugin)
Generated with GPT-5 via [Codex](https://openai.com/codex)
## Summary
- Make `FailureDetail` the canonical rich diagnostic shape for stage and
terminal failures, with terminal `RunFailure` carrying `{ reason, detail
}`.
- Preserve cause chains and move process stdout/stderr diagnostics into
sanitized `exec_output_tail` instead of embedding them in messages or
causes.
- Update ACP error plumbing, CLI/server/store rendering, OpenAPI, and
the generated TypeScript API client for the nested failure contract.
Closes#273
## Test Plan
- `cargo nextest run -p fabro-types -p fabro-core -p fabro-acp -p
fabro-api -p fabro-store -p fabro-server -p fabro-workflow -p fabro-cli
--no-fail-fast -E 'not test(/returns_svg/)' --status-level fail
--final-status-level fail`
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings`
- `bun run typecheck` in `lib/packages/fabro-api-client`
- `bun run typecheck` in `apps/fabro-web`
## Summary
Adds event-sourced pull request association management for runs while
preserving Fabro-created PR creation. A run can now store a current
GitHub PR association, replace it by linking another GitHub PR URL, and
remove it through an unlink event.
## What Changed
- Added `pull_request.linked` and `pull_request.unlinked` events,
projection replay support, and optional PR metadata fields in shared
pull request records.
- Added API, server, and client support for `PUT
/runs/{id}/pull_request` and `DELETE /runs/{id}/pull_request`; linking
accepts GitHub PR URLs, infers owner/repo/number, and captures live
GitHub title and branch metadata when available.
- Added `fabro pr link` and `fabro pr unlink`, updated `fabro pr view`,
and kept create/merge/close behavior guarded to GitHub PRs with usable
coordinates.
- Updated web UI rendering and internal event docs so stored PR links
display cleanly when live GitHub details are unavailable.
## Testing
- `cargo +nightly-2026-04-14 fmt --check --all`
- `git diff --check`
- `cargo build -p fabro-api`
- `cargo nextest run -p fabro-types -p fabro-store -p fabro-server -p
fabro-cli`
- `bun run typecheck` in `lib/packages/fabro-api-client`
- `bun run typecheck` in `apps/fabro-web`
- `bun test` in `apps/fabro-web`
Refs https://github.com/fabro-sh/fabro/issues/235
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 via [Codex](https://openai.com/codex)
---------
Co-authored-by: Haroldo Olivieri <6575718+haroldolivieri@users.noreply.github.com>
## Summary
- allow `fabro exec` to use configured custom provider IDs from the
resolved LLM catalog
- route direct exec sessions through the same catalog-aware
provider/profile resolution used by workflow runs
- stop `fabro-client::list_models` from rejecting non-built-in provider
filters client-side
- update CLI snapshots and add regression tests for custom-provider exec
and model listing
## Repro
With a configured provider like:
```toml
[llm.providers.bedrock]
adapter = "openai_compatible"
base_url = "https://.../v1"
[cli.exec.model]
provider = "bedrock"
name = "bedrock-claude-sonnet-4-6"
```
these paths diverged:
- `fabro run ... --model bedrock-claude-sonnet-4-6` worked
- `fabro model list` showed `bedrock-*` models
- `fabro exec "..."` failed with `unknown provider: bedrock`
- `fabro model test --provider bedrock` failed with the same client-side
error
## Root cause
There were two separate built-in-only assumptions:
1. `fabro-agent` direct CLI paths parsed provider strings into the
built-in `Provider` enum and built a default catalog, so configured
provider IDs from `settings.toml` were invisible.
2. `fabro-client::list_models()` parsed the optional provider filter
into the same built-in enum before calling the server, so custom
provider filters never reached the API.
## Validation
- `cargo check -p fabro-cli -p fabro-agent -p fabro-client`
- `cargo test -p fabro-agent
resolve_provider_accepts_custom_catalog_provider -- --nocapture`
- `cargo test -p fabro-client list_models_allows_custom_provider_filters
-- --nocapture`
- `cargo test -p fabro-cli
exec_accepts_configured_custom_provider_from_settings -- --nocapture`
- `cargo test -p fabro-cli list_invalid_provider_errors -- --nocapture`
- `cargo test -p fabro-cli help -- --nocapture`
---------
Co-authored-by: Bryan Helmkamp <bryan@brynary.com>
## Summary
Adds Ollama as a disabled-by-default built-in catalog provider backed
entirely by provider TOML. Enabling `[llm.providers.ollama] enabled =
true` exposes the bundled `qwen3-coder` sample model through the
existing OpenAI-compatible adapter, while other local Ollama models
still require explicit model blocks until fabro-sh/fabro#267 adds
discovery.
The docs now show the opt-in setting and note that local users can set
`OLLAMA_API_KEY=ollama` for Ollama's OpenAI-compatible endpoint.
## Verification
- `cargo nextest run -p fabro-model`
- `cargo nextest run -p fabro-cli cmd::model`
- `cargo +nightly-2026-04-14 fmt --check --all`
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 via [Codex](https://openai.com/codex)
---------
Co-authored-by: roALAB1 <233429779+roALAB1@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Makes LLM setup explicitly skippable in both the web installer and
`fabro install`, without making omission accidental. A skipped LLM step
lets install complete with zero LLM credentials; later LLM-dependent
workflows keep using the existing provider-not-configured behavior.
`fabro doctor` is intentionally unchanged.
Plan: `docs/superpowers/plans/2026-05-14-optional-llm-install.md`
## Key changes
**Server + API**
- `PUT /install/llm` now accepts `{"providers":[]}` as "LLM step
completed, skipped" — the empty-list rejection is removed; per-provider
validation for non-empty lists is retained.
- OpenAPI: dropped `minItems: 1` from
`InstallLlmProvidersInput.providers`, updated schema descriptions so
empty = skipped and `llm: null` = incomplete. TypeScript client
regenerated.
- `/install/finish` still requires the LLM step to be present, but
tolerates zero credentials — it writes settings, runtime auth secrets,
and GitHub secrets normally and writes no LLM vault entries.
**Web installer**
- New "Skip LLM setup" secondary action on the LLM step (via a
`secondaryAction` prop on `StepPanel`) that records an empty provider
list and advances to GitHub.
- Review screen shows `LLM providers: Skipped` (step completed, empty)
vs `Not configured` (step never completed), via a new
`describeLlmSummary` helper.
- Continue with no API keys still shows the existing validation error —
skipping is only reachable through the explicit skip action.
**CLI**
- Interactive `fabro install` asks "Configure LLM providers now?"
(default yes) before provider selection; declining returns an empty
selection and continues to GitHub.
- Hidden non-interactive `--skip-llm` flag, mutually exclusive with
`--llm-provider` / `--llm-api-key-stdin` / `--llm-api-key-env` via clap
`conflicts_with_all`. Missing LLM flags are still validation errors
unless `--skip-llm` is present. Non-interactive usage text updated with
a skip example.
## Code review
Ran a 12-reviewer `ce:review` pass (correctness, testing,
maintainability, project-standards, agent-native, learnings, security,
api-contract, reliability, adversarial, cli-readiness,
kieran-typescript). No P0/P1 findings; agent-native parity PASS. Applied
fixes in `40a29c591`:
- Re-entrancy guard on `runStepSubmit` so a fast double-click on "Skip
LLM setup" can't fire two requests.
- `validate()` only suggests `--skip-llm` in the missing-provider error
when no credential flag is set (it conflicts with those flags).
- Added tests: all three `--skip-llm` conflict arms, the review screen's
"Not configured" branch, and the skip-button failure path.
One advisory finding left as report-only: an empty `PUT /install/llm`
overwrites previously-saved credentials if a user navigates Back and
clicks Skip — judged acceptable since the button is explicitly labeled
and clicking it is deliberate.
## Testing
- `cargo nextest run -p fabro-server -p fabro-cli -p fabro-install` —
1521 passed
- `cargo build -p fabro-api`, `cargo fmt --check`, `cargo clippy`
(changed crates) — clean
- `bun test` (install-app) — 14 passed; `bun run typecheck` — clean
- New coverage: server accepts empty providers + session shows `llm`
complete with `providers:[]`; finish with skipped LLM persists no LLM
vault credentials but keeps GitHub secrets; web skip button PUTs
`providers:[]` and navigates to GitHub; review renders Skipped / Not
configured; CLI `--skip-llm` requires `--non-interactive`, conflicts
with all credential flags, `validate()` succeeds with `--skip-llm`,
usage text documents `--skip-llm`.
Not added (out of plan scope): an automated test for the interactive
`InstallInputSource` skip branch — `InteractiveInstallInputSource` is
TTY-coupled and has no existing tests; the non-interactive `--skip-llm`
path is fully covered.
## Post-Deploy Monitoring & Validation
This change is install-time only; there is no continuous runtime impact.
Validate during the next install/release smoke:
- **Web installer:** run a fresh browser install, click "Skip LLM setup"
on the LLM step, confirm it advances to GitHub and the review screen
reads `LLM providers: Skipped`. Finish the install and confirm the
server restarts into normal mode with no LLM credentials in the vault
(`secrets.json` has no credential entries) and
GitHub/server/object-store/sandbox settings written normally.
- **CLI:** run `fabro install --non-interactive --skip-llm
--github-strategy token --github-username <user>` and confirm it
completes; run interactive `fabro install` and confirm declining
"Configure LLM providers now?" continues to GitHub.
- **Healthy signals:** install completes (web `/install/finish` → 202;
CLI exits 0), server boots in normal mode, `fabro doctor` runs and
reports no LLM providers configured (expected, unchanged behavior).
- **Failure signals / rollback trigger:** install fails to finish,
server fails to boot after a skipped install, or `/install/finish`
rejects a completed-but-empty LLM step. Rollback = revert this PR;
install behavior returns to requiring at least one LLM provider.
- **Validation window/owner:** next install smoke / release
verification, owned by whoever runs the release.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Prepares the model catalog tests for catalog-only built-in providers so
a future provider can be added with just its catalog TOML.
## Changes
- Replaces the closed-enum round-trip guardrail with a catalog metadata
guardrail, allowing built-in TOML providers that do not have `Provider`
enum variants.
- Makes the all-model `fabro model` CLI tests assert stable table
structure instead of snapshotting every built-in catalog row.
- Renames synthetic custom-provider and missing-provider fixtures away
from provider names that can become real catalog entries.
## Verification
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo nextest run -p fabro-model -p fabro-auth -p fabro-llm -p
fabro-server -p fabro-workflow -p fabro-config`
- `cargo nextest run -p fabro-cli cmd::model`
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 (unknown context, medium reasoning) via
[Codex](https://openai.com/codex)
---------
Co-authored-by: Jesse <606+jesseproudman@users.noreply.github.com>
## Summary
This is a cleanup pass over the configurable LLM provider/catalog work
from issue #210. It addresses reuse, quality, and efficiency findings
from the phase 0-9 review without changing the public provider settings
contract.
Notable changes:
- skip LLM client initialization during run preflight when the workflow
has no LLM nodes
- make preflight provider checks use alias-aware `Client::has_provider`
- resolve `run.model.fallbacks` through the catalog instead of the old
empty-key bridge
- paginate `/models` before cloning returned rows
- share label parsing, provider default-adapter lookup, enum
expected-value formatting, and billing token formatting helpers
- use catalog provider display names for OpenAI-compatible agent
profiles
- align process-env configured-provider discovery with
`EnvCredentialSource`
## Verification
- `cargo check -p fabro-config -p fabro-model -p fabro-auth -p
fabro-agent -p fabro-workflow -p fabro-server -p fabro-cli`
- `cargo nextest run -p fabro-config parse_labels_keeps_key_value_pairs`
- `cargo nextest run -p fabro-workflow resolve_fallback_chain_resolves`
- `cargo nextest run -p fabro-auth configured_providers`
- `cargo nextest run -p fabro-server list_models`
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy -p fabro-model -p fabro-auth -p
fabro-workflow -p fabro-server -p fabro-agent -p fabro-config -p
fabro-cli --all-targets -- -D warnings`
- `cd apps/fabro-web && bun test app/routes/run-billing.test.tsx`
- `cd apps/fabro-web && bun run typecheck`
- `git diff --check`
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Finish phase 9 of the configurable LLM provider/model work by aligning
public docs, release notes, and guardrails with the implementation
already landed in phases 0-8.
- documents settings-driven providers/models, OpenAI-compatible gateway
examples, typed `extra_headers`, model `api_id`, controls, and per-speed
costs
- adds the 2026-05-13 changelog entry and provider string migration note
- updates the internal phase plan ledger to reflect current
implementation status
- adds a workspace policy test blocking direct production
`Catalog::builtin()` usage outside catalog owner/test code
- clarifies `Provider` as a built-in compatibility enum while open-ended
identity is `ProviderId`
## Verification
- `cargo nextest run -p fabro-dev --features dev --test it policy`
- `cargo dev docs check`
- `cargo nextest run -p fabro-model -p fabro-config -p fabro-auth -p
fabro-llm`
- `cargo build --workspace`
- `cargo nextest run --workspace` (5717 passed, 182 skipped, nextest
reported 1 leaky test)
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings`
- `git diff --check`
## Summary
This PR advances the catalog-driven LLM work from fabro-sh/fabro#210 by
making the resolved model catalog the source of truth for provider
registration, request control validation, and billing identity. Runs now
preserve canonical provider/model/speed identity through pricing and API
responses instead of collapsing billing around provider API aliases or
model IDs alone.
## What Changed
- Register LLM provider adapters from the resolved catalog, including
custom OpenAI-compatible providers and their credential resolution
paths.
- Validate effective model request controls, including run-level
defaults and node overrides, before dispatching LLM requests.
- Add catalog-aware billing lookup that prices canonical `ModelRef`
values, uses base model costs for standard speed, applies per-speed cost
overrides, and returns an unknown estimate instead of silently billing
zero for unsupported combinations.
- Move Anthropic Opus fast-mode pricing into the built-in catalog for
`claude-opus-4-6` and `claude-opus-4-7`.
- Thread the injected catalog and effective speed controls through
workflow billing, including API-mode and CLI-mode handlers.
- Update billing APIs, server aggregation, generated clients, and the
web billing view to expose provider/model/speed billing identity and
keep standard and fast usage in separate rows.
## Notes for Review
Billing lookup intentionally uses canonical catalog model IDs. Provider
`api_id` substitution remains limited to provider request construction,
so aliases can be used on the wire without changing billing identity.
Event conversion paths that do not have catalog access now preserve
token counts with a null dollar estimate rather than falling back to the
bootstrap catalog.
## Verification
- `cargo build -p fabro-api`
- `cd lib/packages/fabro-api-client && bun run generate`
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings`
- `ulimit -n 4096 && cargo nextest run -p fabro-model -p fabro-workflow
-p fabro-server -p fabro-api -p fabro-cli --no-fail-fast`
- `ulimit -n 4096 && cargo nextest run --workspace --no-fail-fast`
- `cd apps/fabro-web && bun run typecheck`
- `cd apps/fabro-web && bun test`
- `git diff --check`
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 via [Codex](https://openai.com/codex)
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
This PR moves Fabro’s provider/model catalog toward settings-driven
provider identity by replacing the closed provider schema at the
API/auth/model boundary with `ProviderId`, then loading built-in
provider and model metadata from embedded per-provider TOML files.
The immediate result is that built-ins now use the same settings-shaped
catalog data that custom providers will use later, while request-serving
paths still keep the existing bootstrap/default catalog behavior until
the resolved-catalog plumbing lands.
## Changes
- Replaces API-facing provider enum usage with string-backed
`ProviderId`, including OpenAPI/progenitor replacements and regenerated
TypeScript client models.
- Routes model, auth, billing, CLI, server, and workflow call sites
through provider IDs where they cross product identity boundaries.
- Builds `Catalog` from settings-shaped provider/model data with
validation for adapter keys, OpenAI-compatible `base_url`, duplicate
aliases, provider defaults, disabled entries, model controls, and
per-speed cost rows.
- Replaces `catalog.json` with embedded provider TOML files under
`lib/crates/fabro-model/src/catalog/providers/`.
- Adds an explicit `fabro_model::bootstrap_catalog` hatch for
setup/install paths and extends the dev policy test to keep bootstrap
access contained.
- Preserves public training and knowledge-cutoff labels in LLM model
settings while still accepting bare TOML dates.
## Verification
- `cargo nextest run -p fabro-model -p fabro-config -p fabro-api` — 416
passed
- `cargo nextest run -p fabro-dev --features dev
bootstrap_catalog_references_stay_in_allowlist` — 1 passed
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings`
- `cargo build --workspace`
- `git diff --check`
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 via [Codex](https://openai.com/codex)
## Summary
- `fabro validate path/to/workflow.fabro` now auto-discovers a sibling
`workflow.toml` and loads its `[run.inputs]`, so templated graphs
validate the same way they do when invoked by name or by toml path.
- The discovery is opt-in to the user's specific graph: we only pick up
the sibling toml if its `[workflow].graph` resolves back to the `.fabro`
the user passed. Unrelated tomls in the same directory are ignored.
## Why
`fabro validate` is the natural fast-feedback tool for CI/pre-commit
hooks that iterate on changed `.fabro` files. Previously, a graph using
`{{ inputs.* }}` would fail with a generic MiniJinja "undefined value"
error when validated by path, even when a sibling `workflow.toml`
defined those inputs. The other two invocation forms (by name, by toml)
worked, which made the path form a usability cliff.
Fixes#195.
## Test plan
- [x] New integration test:
`bare_fabro_picks_up_sibling_workflow_toml_inputs` validates
`test/templated_inputs/workflow.fabro` (uses `{{ inputs.app_dir }}`) and
expects `Validation: OK`.
- [x] New unit tests in `fabro-config::project`:
- `resolve_workflow_path_picks_up_sibling_workflow_toml` — happy path.
- `resolve_workflow_path_ignores_sibling_toml_pointing_elsewhere` —
guard: don't apply an unrelated sibling toml.
- [x] `cargo nextest run --workspace` — 5585 tests pass.
- [x] `cargo +nightly-2026-04-14 fmt --check --all`, `clippy --workspace
--all-targets -- -D warnings` clean.
- [x] Manual: `fabro validate /tmp/fabro-issue-195/workflow.fabro`
(templated graph + sibling toml with `[run.inputs]`) prints `Validation:
OK`.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Nate Aune <118984+natea@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Adds run-level controls for clone behavior, managed run branch
setup/pushes, and metadata branch writes/pushes so workflows can opt out
of Fabro-managed Git behavior without relying on provider-specific
`skip_clone` settings. This closesfabro-sh/fabro#240.
## What Changed
- Introduced `[run.clone]`, `[run.run_branch]`, and `[run.meta_branch]`
settings with defaults that preserve current behavior.
- Removed user-facing `skip_clone` from Docker/Daytona config while
mapping the new run-level clone setting into the internal sandbox
runtime options.
- Gated run branch setup/push, metadata branch writer creation/push, and
PR branch output on the new settings.
- Enforced invalid combinations: pull requests require an enabled pushed
run branch, and disabling the run branch also disables metadata branch
behavior.
- Updated OpenAPI, the generated TypeScript API client, frontend fixture
data, and docs for the new configuration shape.
## Testing
- `cargo nextest run -p fabro-config -p fabro-types -p fabro-workflow -p
fabro-server`
- `cargo build -p fabro-api`
- `cd lib/packages/fabro-api-client && bun run generate`
- `cd lib/packages/fabro-api-client && bun run typecheck`
- `cd apps/fabro-web && bun run typecheck`
- `cd apps/fabro-web && bun test`
- `cargo build --workspace`
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings`
- `cargo insta pending-snapshots`
- `git diff --check`
## Post-Deploy Monitoring & Validation
- Validation window: first 24 hours after release; owner: release
owner/on-call engineer.
- Log queries/search terms: `run_branch`, `meta_branch`,
`clone.enabled`, `skip_clone`, `pull request requires an enabled pushed
run branch`, `metadata branch`.
- Healthy signals: runs without custom branch config continue creating
and pushing run/meta branches; runs with `[run.clone] enabled = false`
start provider sandboxes without cloning; runs with branch pushes
disabled complete without Git push errors.
- Failure signals: increased run startup failures for Docker/Daytona,
unexpected PR creation conflicts, missing metadata for default-config
runs, or validation errors for configurations that previously used
default settings.
- Mitigation trigger: if default-config runs stop producing expected
branch/metadata artifacts or sandbox startup failures increase, roll
back the release or temporarily restore previous defaults while
investigating the run-level setting resolution path.
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 via [Codex](https://openai.com/codex)
Co-authored-by: Haroldo Olivieri <6575718+haroldolivieri@users.noreply.github.com>
## Summary
This lays the groundwork for settings-driven LLM providers and models
without switching production routing yet. The new schemas and shared
vocabulary let later catalog construction treat provider/model identity
as data while keeping adapter behavior and control values Rust-owned.
## What changed
- Added `[llm.providers]` and `[llm.models]` settings layers with sparse
per-entry merging, whole-array replacement for credential/alias/control
lists, TOML date support for `knowledge_cutoff`, and typed `credential:`
/ `env:` references that reject literal secrets.
- Added `ProviderId`, `ModelId`, and a shared `ReasoningEffort` enum in
`fabro-model`, plus adapter metadata for `anthropic`, `openai`,
`gemini`, and `openai_compatible`.
- Added a matching `fabro-llm` adapter factory registry with parity
tests to keep metadata keys and factory keys in sync.
- Added `[run.model.controls]` defaults through config resolution and
runtime settings types.
- Added a workspace policy test to prevent future `bootstrap_catalog`
use outside install/test-support paths.
### Plan Summary
- This is the foundation slice of the settings-driven catalog plan.
- Production still uses the existing `Provider` enum and
`Catalog::builtin()` call paths.
- ProviderId routing, OpenAPI regeneration, auth resolver changes,
resolved `Arc<Catalog>` injection, typed request speed, and per-speed
billing are deferred follow-ups.
⚒️ Generated with [Fabro](https://fabro.sh)
---------
Co-authored-by: Fabro <noreply@fabro.sh>
Co-authored-by: fabro-bot <fabro-bot@fabro.sh>
Co-authored-by: Bryan Helmkamp <bryan@brynary.com>
## Summary
Implemented ACP support as a first-class Fabro backend alongside `api`
and `cli`. This adds a new `fabro-acp` crate using the official ACP Rust
crates, routes `backend=\"acp\"` for agent and prompt nodes, adds
sandbox stdio support for local/Docker/test-support paths, emits ACP
workflow events/projections, updates server steerability handling,
validation, documentation, and black-box CLI coverage.
## Test Plan
Passed strict non-live verification:
- `ulimit -n 4096 && cargo nextest run -p fabro-workflow --run-ignored
all --no-fail-fast` — 1162 passed, 0 skipped.
- `ulimit -n 4096 && cargo nextest run -p fabro-acp -p fabro-sandbox -p
fabro-workflow -p fabro-validate -p fabro-store -p fabro-server -p
fabro-cli --run-ignored all --no-fail-fast -E 'not
test(daytona_streaming_live_smoke)'` — 3125 passed.
- `cargo build --workspace` — passed.
- `ulimit -n 4096 && cargo nextest run --workspace --run-ignored all
--no-fail-fast -E 'not test(daytona_streaming_live_smoke)'` — 5666
passed.
- `cargo +nightly-2026-04-14 fmt --check --all` — passed.
- `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings` — passed.
Live-environment tests skipped/excluded under explicit user override:
- `daytona_streaming_live_smoke` was excluded from final nextest runs
because it requires live Daytona infrastructure and `DAYTONA_API_KEY`.
- Confirmed with `env -u DAYTONA_API_KEY cargo test -p fabro-sandbox
--features daytona --test daytona_streaming_live
daytona_streaming_live::daytona_streaming_live_smoke -- --ignored
--exact --nocapture`: failed fast with `DAYTONA_API_KEY must be set to
run this live smoke test`.
## Summary
Adds a stdio-based Fabro MCP server so MCP clients can manage Fabro
workflow runs through the authenticated `fabro` CLI, without a separate
MCP auth flow.
## What Changed
- Adds `fabro mcp start`, `fabro mcp config`, and `fabro mcp init
<agent>` for launching and configuring the MCP server.
- Introduces a new `fabro-mcp-server` crate with run-management tools:
- `fabro_run_create`
- `fabro_run_search`
- `fabro_run_interact`
- `fabro_run_gather`
- `fabro_run_events`
- Reuses the CLI's authenticated server connection behavior, including
OAuth refresh, dev-token/local-server handling, explicit server targets,
proxy behavior, and stdio env/cwd isolation.
- Moves shared run-manifest construction into `fabro-manifest` so CLI
runs and MCP-created runs use the same override semantics.
- Extends MCP client stdio support with configured cwd and exact
environment handling for reliable spawned-server tests.
---------
Co-authored-by: fabro-sh-0530[bot] <281434857+fabro-sh-0530[bot]@users.noreply.github.com>
Co-authored-by: Fabro <noreply@fabro.sh>
Use the canonical nested Run DTO directly and reject the old flat run summary JSON shape. Update store, server, CLI, and fixtures to read and produce canonical fields.
Return canonical Run payloads across run list, board, create, and lifecycle endpoints. Move archive state out of RunStatus and into lifecycle metadata, split sandbox runtime from planned sandbox data, and separate static pull request records from live pull request details.
Regenerate the TypeScript API client and migrate web, CLI, server, store, workflow, and API tests to the new contract.
Replace the separate sandbox record shape with a typed RunSandbox model shared by projections, API responses, and generated clients. The public contract now uses SandboxProvider plus a non-null id and working_directory, and removes sandbox identifier/name leakage.
Make run.created the projection anchor and require canonical run spec/status fields in API and clients.
Collapse diff/checkpoint/conclusion payloads around RunDiff and update server, CLI, workflow, store, and generated clients.
Allow forced run deletion to purge durable metadata even when projection replay fails, and add a repair command path for deleting unreadable runs in batch.
Store live per-stage token counts on StageProjection, carry typed billing model identity through agent.message events, and derive billing rollups from the projection so in-flight stages can report usage before terminal events arrive.
Track the active loose HEAD ref from CLI and server build scripts so local builds refresh FABRO_GIT_SHA after normal branch commits without watching packed-refs.
Persist resolved run titles on creation, expose title update events, and add the run title PATCH API. Regenerate API clients and refresh web/server invalidation so title changes are reflected across run detail and board views.
Make local sandbox execution direct by removing the public worktree mode and in-place controls from CLI, config, run state, API surfaces, docs, and UI. Keep worktree support only for internal parallel-node isolation.
Project workflows now resolve from the discovered .fabro directory instead of honoring project.directory. Keep the legacy field parse-only while removing it from resolved settings and API/client shapes.
## Summary
Removes Fabro's automatic retro generation stage so workflow runs go
directly from execution to finalization and optional PR creation. This
drops the retro-specific crate, events, projection fields, config/API
knobs, and user-facing docs in favor of the existing durable run
observability surfaces.
## What Changed
- Deleted the `fabro-retro` crate and the workflow `retro` pipeline
phase, with finalization now consuming `Executed` state directly.
- Removed retro configuration and API surface area, including
`--no-retro`, `[run.execution].retros`, manifest `no_retro`,
`features.retros`, and run projection `retro*` fields.
- Retired typed `retro.*` events while keeping historical event logs
readable by deserializing retired retro event names as `Unknown`.
- Stopped appending retro sections to generated PR bodies and updated
docs, marketing copy, screenshots, and navigation to point users toward
observability/event-stream inspection.
## Testing
Not run during PR creation; this branch already contained the
implementation commit.
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 (unknown context, reasoning unspecified) via
[Codex](https://openai.com/codex)
Emit local sandbox stop events so CLI follow and event-history tests can observe terminal cleanup under run-owned sandbox lifecycle. Fall back to stored file diffs when completed runs no longer have an active sandbox.
Keep invalid terminal answers local to attach prompts instead of treating them as interrupted interviews, and accept No for confirmation answers to match documented yes/no behavior.
Keep attach reading run events while a local interview prompt is active so answers from the web UI or API can resolve the prompt and let the CLI advance.
Replace the loose interview answer request payload with a discriminated OpenAPI union so generated clients enforce the wire contract. Surface structured HTTP error details in the web client and update browser, CLI, and server answer submission paths to use the typed variants.
Route command stderr into stdout at execution time and expose a single output log across events, projections, API clients, and the web UI. Keep replay compatibility for older command.completed events that still contain split stdout/stderr fields.
Compute cheap diff stats on checkpoint and terminal events, roll them into run summaries, and use them for the Files Changed tab badge without fetching full file diffs.
