## What
Makes the run-detail stage sidebar (shown on the Overview and Stages
tabs) collapsible with a slide animation.
- A toggle button slides the panel between full width (`w-56`) and an
icon-only rail (`w-12`), animating `width` over 300ms with the same
easing as the Ask Fabro panel.
- When collapsed, **stage status icons stay visible** — green check /
red X / spinning teal for running — so run progress is still scannable
at a glance. Workflow links (Graph Source, Run Logs, etc.) collapse to
icons too so they remain reachable.
- Labels and durations become `sr-only` with `title` tooltips for hover.
- The open/closed choice persists to `localStorage`
(`fabro:stage-sidebar-collapsed`), carrying across the Overview and
Stages tabs and reloads.
## Layout
- The collapse toggle is inline with the `STAGES` heading row (or
`WORKFLOW` when a run has no stages yet), so it doesn't push the stage
list down.
- The stage sidebar's top padding on the Stages tab was reduced (`pt-6`
→ `pt-3`) so the heading aligns with the adjacent content column and
sits closer to the tab nav.
## Notes
Self-contained in `StageSidebar` — `run-overview.tsx` and
`run-stages.tsx` render it inside flex layouts that already track its
width, so the slide works in both with no parent changes (aside from the
padding tweak).
Verified: `tsc` typecheck passes; `stage-sidebar` lib tests pass
(10/10).
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: fabro-sh-0530[bot] <281434857+fabro-sh-0530[bot]@users.noreply.github.com>
Co-authored-by: Fabro <noreply@fabro.sh>
When Fabro creates a detached run through the server, the resulting run
metadata should still read like something a human can trust at a glance.
Before this change, those runs could persist with
`settings.project.name` and `settings.workflow.name` left `null` even
though Fabro already had enough local context to infer them. That made
`inspect` output look half-populated and made it harder to tell whether
the saved run state was complete.
This fixes that trust gap in the server-backed manifest flow.
## Summary
- backfill missing manifest-backed project and workflow names during
server run preparation
- prefer explicit `[workflow].name` from bundled `workflow.toml`, then
fall back to graph name or workflow slug
- cover both manifest preparation and persisted run-state behavior with
server tests
## Testing
- cargo test -p fabro-server
prepare_manifest_backfills_missing_project_and_workflow_names --
--nocapture
- cargo test -p fabro-server
prepare_manifest_preserves_explicit_project_and_workflow_names --
--nocapture
- cargo test -p fabro-server
create_run_persists_backfilled_project_and_workflow_names -- --nocapture
---------
Co-authored-by: Bryan Helmkamp <bryan@brynary.com>
## Summary
Moves provider-specific facts out of `AdapterKind` metadata and into
provider catalog data, leaving adapters responsible for runtime protocol
behavior. This makes providers that share an adapter mostly TOML-driven
while still surfacing adapter construction failures during readiness
checks.
## What Changed
- Provider TOML now owns auth mode, API-key/header policy, billing
policy, agent profile, base URLs/env overrides, extra headers, and probe
markers.
- Auth, install, config, diagnostics, and server flows resolve provider
credentials from catalog auth config, including API-key, header-only,
and no-auth providers.
- LLM client registration now reports adapter construction failures,
validates final adapter requests before HTTP dispatch, and preserves
custom primary auth headers.
- Billing and docs now use provider-owned billing policy instead of
adapter metadata, and the old adapter metadata surface is removed.
## Reviewer Notes
OpenAI-compatible `base_url` validation now happens during
adapter/client registration rather than catalog build. That keeps
catalog parsing adapter-agnostic while still letting readiness and model
listing reflect providers that cannot register.
## Verification
- `cargo check -p fabro-model -p fabro-auth -p fabro-llm -p fabro-server
-p fabro-cli`
- `cargo nextest run -p fabro-llm -- adapter_registry`
- `cargo nextest run -p fabro-model -- catalog`
- `cargo nextest run -p fabro-auth -- api_key`
- `cargo nextest run -p fabro-server -- install`
- `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: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Adds catalog-level `agent_profile` overrides so custom providers and
individual models can choose Anthropic, OpenAI, or Gemini agent behavior
independently from their adapter default. The effective precedence is
model override, then provider override, then adapter metadata.
## What Changed
- Added typed provider/model `agent_profile` settings in `fabro-config`
and `fabro-model`, with serde/strum support for `anthropic`, `openai`,
and `gemini`.
- Centralized effective profile resolution in the catalog, including
provider alias canonicalization and a guard against unrelated model
overrides leaking across providers.
- Updated run startup, API sessions, CLI/ACP backends, prompt
project-memory discovery, and standalone agent startup to use the
resolved catalog profile.
- Documented provider-level and model-level `agent_profile`
configuration in the public model and user configuration docs.
No OpenAPI or model-list response shape changes are included.
## Validation
- `cargo nextest run -p fabro-model -p fabro-config -p fabro-workflow -p
fabro-agent` passed: 1826 passed, 125 skipped.
- `cargo +nightly-2026-04-14 fmt --check --all` passed.
- `cargo +nightly-2026-04-14 clippy -p fabro-model -p fabro-config -p
fabro-workflow -p fabro-agent --all-targets -- -D warnings` passed.
- `git diff --check` passed.
- `cargo nextest list -p fabro-dev` confirmed there is no docs-options
reference test target to run.
## Post-Deploy Monitoring & Validation
Watch workflow and agent-session logs for provider/model resolution
errors, unexpected project-memory file selection, or CLI/ACP launch
command mismatches on custom catalog providers. Healthy signal: custom
provider/model runs start normally and use the intended profile-specific
behavior. Failure trigger: repeated `Provider ... is not configured`
errors, missing expected project memory, or profile-specific agent
startup failures after configuring `agent_profile`. Mitigation is to
remove the override from config or revert this PR. Validation window:
first deploy cycle after merge; owner: release/on-call engineer.
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 via [Codex](https://openai.com/codex)
## 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 adds run-configuration support for mounting existing Daytona
volumes into Fabro-managed Daytona sandboxes.
Concretely, this PR:
- adds `[[run.sandbox.daytona.volumes]]` with `volume_id`, `mount_path`,
and optional `subpath`
- resolves that config through the layer/settings/runtime pipeline
- forwards configured mounts to `daytona_sdk::SandboxBaseParams.volumes`
when creating the sandbox
- documents the configuration surface in the Daytona environment and run
configuration docs
## Motivation
Daytona already supports attaching volumes when a sandbox is created,
but Fabro currently owns that sandbox creation call. That means users
cannot attach a pre-created Daytona volume to a Fabro-managed sandbox
from run config.
The intended use is persistent, provider-owned state such as agent
credentials, caches, datasets, or other files that should survive
ephemeral sandbox lifecycles.
## Scope
This is intentionally a narrow passthrough. Fabro does not create,
delete, list, wait on, or otherwise manage Daytona volume lifecycle.
Users create the volume in Daytona first, then reference its `volume_id`
from Fabro run config.
`volumes` defaults to an empty list in resolved settings for backwards
compatibility with existing serialized settings.
## Testing
- `cargo test -p fabro-server
runtime_daytona_config_preserves_volume_mounts`
- `cargo test -p fabro-config resolves_daytona_volume_mounts`
- `cargo test -p fabro-sandbox --features daytona volume_mounts`
- `cargo test -p fabro-workflow
runtime_daytona_config_preserves_volume_mounts`
- `cargo check -p fabro-server`
---
_Re-opened from #262 (originally by @kimprobably) to land a rustfmt fix
— the original PR came from an org-owned fork, which blocks maintainer
pushes. Branch is now on the base repo. Original commit preserved; one
additional commit fixes rustfmt formatting._
Co-authored-by: Tim Keen <tim@keen.digital>
## 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
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
Supports `dockerfile = { path = "..." }` for Daytona snapshots declared
in `.fabro/project.toml` and workflow-local `workflow.toml`, resolving
each path relative to the TOML file that declared it. Manifest building
now bundles project-level Dockerfiles into the target workflow file
bundle, and server manifest preparation rewrites bundled Dockerfile
paths to inline content before settings reach sandbox creation.
The repo Daytona snapshot config now uses `.fabro/Dockerfile` instead of
embedding the Dockerfile in TOML, preserving the prior Dockerfile
content exactly.
## Testing
- `cargo nextest run -p fabro-manifest
build_manifest_bundles_project_config_daytona_dockerfile_relative_to_project_config`
- `cargo nextest run -p fabro-manifest`
- `cargo nextest run -p fabro-server
prepare_manifest_inlines_project_config_daytona_dockerfile_from_bundle
prepare_manifest_errors_when_project_config_dockerfile_bundle_is_missing`
- `cargo nextest run -p fabro-server`
- `cargo nextest run -p fabro-config`
- `cargo nextest run -p fabro-manifest -p fabro-server -p fabro-config`
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings`
Optional credentialed Daytona live smoke was not run.
## Post-Deploy Monitoring & Validation
- Log queries/search terms: `missing bundled dockerfile`, `unsupported
dockerfile reference`, `invalid manifest project config path`,
`dockerfile path should have been resolved to inline content before
sandbox creation`, Daytona snapshot creation failures.
- Metrics/dashboards: run submission/preflight failure rate, Daytona
sandbox startup failure rate, snapshot creation failure rate, and run
validation errors for manifests using bundled files.
- Healthy signals: runs using `.fabro/project.toml` with `dockerfile = {
path = "Dockerfile" }` progress past manifest preparation and Daytona
snapshot creation without path-resolution errors.
- Failure signals and rollback trigger: any sustained increase in
manifest preparation failures or Daytona snapshot failures containing
the log terms above; rollback by reverting this PR or temporarily
restoring inline Dockerfile TOML for affected deployments.
- Validation window and owner: first 24 hours after deploy; owner is the
deploying operator/on-call engineer.

## Summary
This PR moves the server-facing model catalog paths onto a resolved
catalog stored in `AppState`, using configured `[llm]` provider/model
overrides layered on top of the built-in catalog.
The server now uses the injected catalog for:
- `/models` listing and model test lookup
- `/completions` default model and provider inference
- manifest preflight materialization and LLM model alias resolution
- diagnostics LLM probes
- pull request default model selection
- runtime settings refresh via `replace_settings`
It also adds catalog overlay helpers in `fabro-model` and converts
resolved server runtime `[llm]` settings into the catalog shape in
`fabro-config`.
This branch also includes the earlier `chore: update dockerfile` commit,
which updates the Daytona snapshot to `fabro-v10` and installs Chromium
through the xtradeb PPA with an XFCE/browser wrapper.
Related: #210
## Tests
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo nextest run -p fabro-config -p fabro-model -p fabro-server`
(844 tests passed)
- `cargo +nightly-2026-04-14 clippy -p fabro-config -p fabro-model -p
fabro-server --all-targets -- -D warnings`
## 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
Adds the Phase 1 settings surface for gateway-backed LLM providers. This
was prompted by @haroldolivieri's Portkey/Bedrock field report on PR
#207, which showed that gateway auth and routing often live in custom
headers rather than the adapter's primary API-key header.
This PR is schema and seam work only. It does not make settings-defined
providers runnable yet; later phases still own ProviderId migration,
catalog construction, auth resolution, and production adapter
registration.
## Changes
- add typed `extra_headers` values to `[llm.providers.<id>]`
- support explicit `literal`, `env`, and `credential` header value forms
while rejecting bare strings, empty values, ambiguous tables, and
unknown keys
- cover whole-map header merge behavior and adapter header pass-through
tests
- update the settings-driven LLM plan with the Phase 1 gateway header
attribution and completion notes
## Non-goals
- does not make settings-defined providers runnable yet
- does not migrate ProviderId/OpenAPI/auth resolver/runtime catalog
plumbing
- does not route Codex OAuth through custom provider settings
## Tests
- `cargo nextest run -p fabro-config -p fabro-llm`
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy -p fabro-config -p fabro-llm
--all-targets -- -D warnings`
- `git diff --check origin/main...HEAD`
## Post-Deploy Monitoring & Validation
No additional operational monitoring required. This is schema and
adapter-seam coverage only; production provider registration and runtime
credential/header resolution remain deferred.
## Attribution
Motivated by @haroldolivieri's Portkey/Bedrock report on PR #207:
https://github.com/fabro-sh/fabro/pull/207#issuecomment-4377929769
Commits include `Co-authored-by: Haroldo Olivieri
<6575718+haroldolivieri@users.noreply.github.com>`.
---
Compound Engineered: Codex, `ce:work`.
---------
Co-authored-by: Haroldo Olivieri <6575718+haroldolivieri@users.noreply.github.com>
## 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
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>
Remove the leftover in_place field from a RunSpec test fixture after the field was intentionally removed, and clean up a raw string lint surfaced by workspace clippy.
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)
Create run-owned sandbox lifecycle operations so terminal runs stop by default, resumes attach and start persisted sandboxes, and run deletion deletes or hands off provider resources according to preserve settings.
## Summary
Token scopes describe what *a run* is authorized to do, not server
identity. Today they live under
`[server.integrations.github.permissions]`, which can't be overridden by
`workflow.toml` / `project.toml` (server keys are stripped from
per-workflow layers) — so projects and workflows can't tighten or relax
permissions despite the docs already advertising a per-run config. This
PR moves them under `[run.integrations.github.permissions]`, where the
standard layer-merge (workflow > project > user > defaults) Just Works.
Greenfield, no migration shim.
## What changed
- **New layer/resolved types** in `fabro-config` and `fabro-types`:
`RunIntegrationsLayer`, `RunIntegrationsGithubLayer`, and resolved
counterparts. `permissions` becomes a flat `HashMap<String,
InterpString>` post-resolve; empty = no token requested.
- **Server schema**: `permissions` removed from `GithubIntegrationLayer`
/ `GithubIntegrationSettings`. `deny_unknown_fields` rejects the stale
path.
- **Bundled `workflow.toml` parsing** (`run_manifest.rs`): now goes
through `SettingsLayer` via the new `parse_run_layer_from_settings_toml`
helper, so stale `[server.integrations.github.permissions]` errors
instead of being silently dropped by the old `toml::Table` lift-out.
- **Consumers updated**: server preflight, run launch path, and the CLI
worker (`runner.rs`) all read run-level permissions. CLI worker
previously hardcoded `HashMap::new()` — runs launched via the local CLI
path were getting no `GITHUB_TOKEN` regardless of TOML.
- **Shared helpers** on `RunIntegrationsGithubSettings`:
`is_token_requested()` and `resolve_permissions(lookup)` so server and
CLI don't drift.
- **OpenAPI + TS client** regenerated; new `RunIntegrationsSettings` /
`RunIntegrationsGithubSettings` schemas added, `permissions` removed
from `GithubIntegrationSettings`.
- **Repo workflows + docs** rewritten to the new path. Docs gain a
security-model note (boundary = installation grants; no Fabro-side cap).
## Key design decision: hand-rolled `Combine` for
`RunIntegrationsGithubLayer`
`ReplaceMap`'s "empty inherits from below" semantics (`maps.rs:76-80`)
are wrong here — we want `permissions = {}` in a higher layer to act as
an explicit clear. So the layer field is `Option<HashMap<...>>` with
hand-rolled `Combine`:
| Higher layer | Lower layer | Result |
|---|---|---|
| `None` | anything | lower (inherit) |
| `Some(map)` | anything | `Some(map)` (full replace, including
`Some({})` = clear) |
Not derived: the blanket `Option<T: Combine>` impl would recurse into
the inner `HashMap` and reintroduce empty-fallback. Documented inline in
`layers/run.rs`.
`InterpString` is preserved through resolve and only flattened to
`String` at the start-services boundary, matching the existing pattern.
### Plan Summary
- New `[run.integrations.github.permissions]` layer + resolved types;
remove from server side.
- Hand-rolled `Combine` so empty-wins-as-clear; no change to
`ReplaceMap` semantics for other consumers.
- Strict `SettingsLayer` parse for bundled `workflow.toml` so stale
schema errors loudly.
- Both server and CLI worker paths read run-level permissions via shared
helpers.
- OpenAPI + TS client regenerated; parity test added.
- Repo workflow TOMLs and `integrations/github.mdx` rewritten.
### Fabro Details
<details>
<summary>Ran 0 stages in 61m 23s for $53.41</summary>
| Stage | Duration | Cost | Retries |
|---|---|---|---|
| **Total** | **61m 23s** | **$53.41** | **0** |
</details>
<details>
<summary>Ran <code>ImplementPlan.fabro</code> (12 nodes and 15
edges)</summary>
```dot
digraph ImplementPlan {
graph [
goal="Implement and simplify",
model_stylesheet="
* { model: claude-opus-4-7; }
"
]
rankdir=LR
start [shape=Mdiamond, label="Start"]
exit [shape=Msquare, label="Exit"]
toolchain [label="Toolchain", shape=parallelogram, script="command -v cargo >/dev/null || { curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y && sudo ln -sf $HOME/.cargo/bin/* /usr/local/bin/; }; cargo --version 2>&1", max_retries=0]
preflight_compile [label="Preflight Compile", shape=parallelogram, script="cargo check -q --workspace 2>&1", max_retries=0]
preflight_lint [label="Preflight Lint", shape=parallelogram, script="cargo +nightly-2026-04-14 clippy -q --workspace --all-targets -- -D warnings 2>&1", max_retries=0]
fix_lints [label="Fix Lints", prompt="The preflight lint step failed. Read the build output from context and fix all clippy lint warnings.", max_visits=3]
implement [label="Implement", prompt="Read the plan file referenced in the goal and implement every step. Make all the code changes described in the plan. Use red/green TDD."]
simplify_opus [label="Simplify (Opus)", prompt="@prompts/simplify.md"]
simplify_gpt [label="Simplify (GPT-55)", prompt="@prompts/simplify.md", model="gpt-55"]
verify [label="Verify", shape=parallelogram, script="cargo +nightly-2026-04-14 clippy -q --workspace --all-targets -- -D warnings 2>&1 && cargo nextest run --cargo-quiet --workspace --status-level fail 2>&1 && cargo dev docs refresh 2>&1 && cargo dev docs check 2>&1", goal_gate=true, retry_target="fixup"]
fixup [label="Fixup", prompt="The verify step failed. Read the build output from context and fix all clippy lint warnings, test failures, and generated docs errors.", max_visits=3]
fmt [label="Format", shape=parallelogram, script="cargo +nightly-2026-04-14 fmt --all 2>&1", max_retries=0]
start -> toolchain
toolchain -> preflight_compile [condition="outcome=succeeded"]
toolchain -> exit
preflight_compile -> preflight_lint [condition="outcome=succeeded"]
preflight_compile -> exit
preflight_lint -> implement [condition="outcome=succeeded"]
preflight_lint -> fix_lints
fix_lints -> preflight_lint
implement -> simplify_opus -> simplify_gpt -> verify
verify -> fmt [condition="outcome=succeeded"]
verify -> fixup
fixup -> verify
fmt -> exit
}
```
</details>
⚒️ Generated with [Fabro](https://fabro.sh)
---------
Co-authored-by: Fabro <noreply@fabro.sh>
Co-authored-by: Bryan Helmkamp <bryan@brynary.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Keep typed transport and provider errors intact through API, GitHub, OAuth, install, diagnostics, and artifact paths. Add regression coverage for cloned shared errors and communication error chains.
Switch Docker sandboxes from host bind mounts to per-run clone-based containers with structured run metadata, reconnect validation, archive-based file transfer, and Docker resource defaults.
Extend run config/API surfaces so Docker image and clone settings flow through manifests, server preflight, workflow startup, and generated clients.
Update docs and tests for the new default Docker provider path.
Move FABRO_LOG_DESTINATION parsing into fabro-config so CLI and server worker startup use the same validation behavior. Worker startup now exports one canonical resolved destination instead of relying on a generic env allowlist path.
Add configurable server log destinations with an environment override so containers can stream foreground server logs to stdout while local installs keep file logging by default. Validate configured log filters at load time and reject stdout logging for daemon mode.
Add a settings reference generator backed by OptionsMetadata on the sparse config layer structs. The generated user-configuration page is fenced and checked in CI alongside the CLI reference.
Add fabro-static::EnvVars as the shared registry for fixed environment variable names and migrate env reads, clap env bindings, and subprocess/test allowlists to use it.
Add clippy bans for raw std::env lookup APIs so future dynamic env facades must be documented explicitly.
SettingsLayer::{test_default, ensure_test_auth_methods} are `pub(crate)`
and only called from fabro-config's own in-crate tests, but their impl
block was gated on `cfg(any(test, feature = "test-support"))`. No
external crate enabled the `test-support` feature, so under
`--all-features` the methods compiled in without reachable callers and
clippy flagged them as dead code. Narrow the gate to `cfg(test)` and
drop the vestigial feature entry.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
After Unit 3.1 of the config boundary refactor, fabro-types no longer has
any #[derive(Combine)] sites — the fabro-macros dep is unused. Likewise
`Duration as DurationLayer` was an artifact from when layer and vocabulary
types lived side-by-side; the resolved Duration type has no Layer form now,
so the alias was misleading.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>