## Summary
This PR makes agent execution a strict two-backend contract: API-backed
stages use Fabro-owned model/provider auth, while ACP-backed stages
launch a user-supplied stdio process that owns its own auth and tools.
That removes the legacy CLI backend and prevents ACP execution from
accidentally resolving or forwarding provider credentials.
## Changes
- Replaces the old `api`/`cli`/`acp` backend model with `AgentBackend {
api, acp }`, with `backend=\"cli\"` rejected and migrated toward
explicit ACP process configuration.
- Splits ACP process configuration into `acp.command` for shell command
strings and `acp.config` for JSON stdio configs, while rejecting legacy
`acp_command`.
- Restricts ACP to `agent` nodes and rejects API-only attributes such as
`model`, `provider`, `reasoning_effort`, `max_tokens`, and `speed` on
ACP nodes.
- Deletes the workflow CLI runtime, CLI credential resolver surface, CLI
live smoke tests, and `agent.cli.*` event handling.
- Updates ACP events and projections to report process identity
(`command`, optional `config_name`) rather than provider/model metadata.
- Updates import/stylesheet propagation, CLI workflow smoke coverage,
server steering tests, and web model extraction for the new
event/backend contract.
## Validation
- `cargo check -p fabro-auth -p fabro-acp -p fabro-workflow -p fabro-cli
--all-targets`
- `cargo nextest run -p fabro-auth -p fabro-acp -p fabro-validate -p
fabro-store -p fabro-workflow --lib`
- `cargo nextest run -p fabro-acp`
- `cargo nextest run -p fabro-cli --test it
workflow::acp::acp_backend_workflow`
- `cargo nextest run -p fabro-workflow --test it
codergen_without_backend_simulated`
- `cargo nextest run -p fabro-workflow --test it
import_e2e_through_engine`
- `cargo nextest run -p fabro-workflow --test it stylesheet_application`
- `cargo nextest run -p fabro-server
steer_with_active_acp_stage_returns_non_steerable_conflict`
- `cargo nextest run -p fabro-server
active_acp_stage_marker_clears_on_terminal_paths`
- `cargo nextest run -p fabro-types
agent_backend_accepts_only_api_and_acp`
- `cd apps/fabro-web && bun test app/routes/run-stages.test.ts`
- `cd apps/fabro-web && bun run typecheck`
- `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: Peter Bell <4843+PeterBell@users.noreply.github.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
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
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
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
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>
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.
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.
## 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)
Add a progressive human interview workflow and teach human gates to honor explicit question_type values so the workflow can exercise yes/no, confirmation, multiple-choice, multi-select, and freeform prompts before summarizing the answers.
## Summary
This makes the advertised mid-run steering path real: users can send
append or interrupt steering messages through the API, CLI, and web UI,
and the worker delivers them to live API-mode agent sessions or buffers
them for the next session. The change adds the control protocol, session
interrupt machinery, workflow hub, server route/OpenAPI/client updates,
and UI feedback needed for the whole path.
### Plan Summary
- Add `SteerKind`/`run.steer` wire protocol and `POST /runs/{id}/steer`
- Deliver steers through subprocess JSONL or the in-process
`SteeringHub`
- Support append and interrupt behavior in agent sessions, with bounded
buffering and events
- Expose steering in the CLI/web UI and surface SSE toasts
## Flow
```mermaid
flowchart TB
UI["CLI / Web UI"] --> API["POST /runs/{id}/steer"]
API -->|"subprocess transport"| Control["Worker control JSONL"]
API -->|"in-process transport"| Hub["SteeringHub"]
Control --> Hub
Hub -->|"active API sessions"| Session["SessionControlHandle"]
Hub -->|"no active session"| Pending["Pending buffer"]
Pending -->|"first future API session"| Session
Session --> Agent["Session round loop"]
Agent --> Events["RunEvent stream"]
Events --> UI
```
## What changed and why
- Agent sessions now expose a lightweight `SessionControlHandle`, drain
steering at the top of each round, and use a replaceable round
cancellation token for interrupts. LLM waits are cancelled promptly,
while tool execution observes cancellation cooperatively so every
committed `tool_use` still gets a matching `tool_result`.
- `SteeringHub` owns active API session registration, broadcast
delivery, pending buffering, FIFO queue caps, and steering
lifecycle/drop events. A completion coordinator closes the
final-response race without introducing a workflow dependency into the
agent crate.
- The server route replaces the 501 stub, validates run state and
best-effort CLI-only steerability, and forwards through either
subprocess control JSONL or the in-process hub. OpenAPI and generated
clients now include the request type.
- The CLI and web UI can send append or interrupt steers. Run detail and
board views open the new composer, and shared SSE subscriptions now
support per-subscriber event callbacks so invalidation and steering
toasts can coexist on one EventSource.
## Review notes
- Steering actors stay on top-level `RunEvent.actor`; event props only
carry steering kind/drop metadata.
- Buffered steers replay as append messages to the first API session
that registers after an empty-active period. Per-stage targeting remains
out of scope.
- CLI-mode agent stages are still not steerable; the server returns a
best-effort 409 when all active agent stages are CLI-mode, while the
worker hub remains the authoritative safety net.
- No persistence or schema migration is required; active and pending
steering state is in memory.
- New tests focus on protocol round-trips, hub buffering/bounds, session
steering-loop behavior, SSE fanout, and basic server rejection paths.
⚒️ 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>
## Summary
Run cancellation now reaches in-flight agent work instead of waiting for
an agent stage to finish or recording cancellation as a failed stage.
The workflow cancellation primitive is now
`tokio_util::sync::CancellationToken`, with child tokens passed through
setup, handlers, manager-loop child runs, sandbox streaming commands,
CLI agent invocations, and API agent sessions.
### Plan Summary
- Promote run cancellation to `CancellationToken` while keeping stall
timeout separate.
- Route CLI agents through cancellable sandbox streaming with optional
timeouts.
- Bridge run cancellation into API sessions and preserve
`Error::Cancelled` propagation.
- Add typed events/projections for CLI cancellation and timeout.
## Cancellation flow
```mermaid
flowchart TB
RunToken[Run CancellationToken]
Executor[Core executor]
Services[RunServices]
Manager[Manager-loop child run]
CLI[Agent CLI backend]
API[Agent API backend]
Sandbox[Sandbox streaming exec]
Session[fabro-agent Session]
RunToken --> Executor
RunToken --> Services
Services -- child_token --> Manager
Services -- child_token --> CLI
CLI -- child_token --> Sandbox
Services --> API
API -- bridge guard --> Session
```
## What changed and why
- `RunOptions`, `RunServices`, core `ExecutorOptions`, CLI/server run
state, and detached-run guards now use `CancellationToken` instead of
`Arc<AtomicBool>`. Dropping services or tokens still does not mean
cancellation; only explicit `.cancel()` does.
- Manager-loop child workflows are given child tokens so parent
cancellation propagates down, while stop/max-cycle cancellation remains
scoped to the child workflow.
- Stall timeout remains intentionally separate as a stall token and
still returns `Error::StallTimeout { node_id }`, not `Error::Cancelled`.
- Agent, prompt, human, fan-in, and parallel handler paths now pass
cancellation tokens through and avoid converting `Error::Cancelled` into
normal failed outcomes.
## Agent backend behavior
CLI-mode agents no longer launch detached `setsid` jobs with temp
stdout/stderr/exit-code polling. They run through
`Sandbox::exec_command_streaming` with a child token; a missing node
timeout passes `None` to preserve the existing unbounded agent runtime,
while explicit node timeouts still apply. Cancelled CLI runs emit
`agent.cli.cancelled`, clean temp files, and return `Error::Cancelled`;
timed-out CLI runs emit `agent.cli.timed_out` and return a handler
timeout error; `agent.cli.completed` remains natural-exit only.
API-mode agents install a per-invocation `SessionCancelBridgeGuard`
after acquiring a fresh or cached session. The guard maps the run token
into the session interrupt reason and session cancel token, and aborts
stale bridge tasks before session replacement or cache reinsertion so
reused sessions are not tied to old run tokens. `Session::initialize`
now returns `Result`, and project-doc, skill, MCP, and environment
discovery paths check cancellation and pass child tokens to sandbox
commands.
## Sandbox and event model
`Sandbox::exec_command_streaming` now accepts `Option<u64>` for timeout.
Production streaming implementations use a pending future for `None`
instead of a giant sleep, while the trait fallback maps `None` to
`u64::MAX` only when delegating to non-streaming `exec_command`.
The run event model now includes typed `agent.cli.cancelled` and
`agent.cli.timed_out` payloads with stdout, stderr, and duration, plus
conversion and projection support. OpenAPI/client regeneration was
unnecessary because the API schema already models run events with a free
event string and arbitrary properties; only Rust event types changed.
## Reviewer notes
Expect signature churn around `Session::initialize`,
`CodergenBackend::run`, `RunOptions.cancel_token`,
`StartServices.cancel_token`, and `Sandbox::exec_command_streaming`. The
main behavioral checks are that user cancellation reaches in-flight
CLI/API work and that timeout/stall paths remain distinct from user
cancellation.
### Fabro Details
<details>
<summary>Ran 9 stages in 117m 40s for $150.32</summary>
| Stage | Duration | Cost | Retries |
|---|---|---|---|
| start | 0s | – | 0 |
| toolchain | 1s | – | 0 |
| preflight_compile | 2m 8s | – | 0 |
| preflight_lint | 2m 13s | – | 0 |
| implement | 77m 12s | $56.78 | 0 |
| simplify_opus | 18m 5s | $5.83 | 0 |
| simplify_gpt | 15m 33s | $87.71 | 0 |
| verify | 1m 48s | – | 0 |
| fmt | 2s | – | 0 |
| **Total** | **117m 40s** | **$150.32** | **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>
This change makes bulk `fabro model test` run configured model checks
concurrently instead of serially. A new `--jobs/-j` flag (defaulting to
4, minimum 1) controls the concurrency bound; the single-model path
(`--model <MODEL>`) is unaffected. Under the hood, the serial `for` loop
over configured models is replaced with a
`futures::stream::buffer_unordered(jobs)` pipeline that clones the
shared-state `Client` per request. Completed results carry their
original list index and are sorted before rendering, so final stdout
table rows and JSON output remain in listing order regardless of which
requests finish first.
Three new integration tests verify the concurrency behavior using an
inline Axum harness with a `ConcurrencyGate` barrier. The gate holds all
in-flight requests until the expected number arrive simultaneously, then
releases them, letting tests assert `max_in_flight` exactly rather than
relying on timing. The ordering test goes further by assigning
reverse-listing response delays so the last-listed model always finishes
first; if the index sort were dropped, the JSON result order would
invert and the assertion would fail. A 15-second gate timeout ensures a
regression to serial execution surfaces as a clear `max_in_flight == 1`
failure rather than a hung test.
Existing behavior is fully preserved: unconfigured models are still
skipped without a POST, a configured model returning `skip` after
listing is still a failure, `--deep` uses the same `--jobs` value, and
`--jobs 1` reproduces the previous serial behavior for users hitting
provider rate limits.
### Fabro Details
<details>
<summary>Ran 9 stages in 30m 52s for $19.61</summary>
| Stage | Duration | Cost | Retries |
|---|---|---|---|
| start | 0s | – | 0 |
| toolchain | 1s | – | 0 |
| preflight_compile | 2m 8s | – | 0 |
| preflight_lint | 2m 21s | – | 0 |
| implement | 8m 56s | $3.87 | 0 |
| simplify_opus | 7m 55s | $1.43 | 0 |
| simplify_gpt | 6m 58s | $14.32 | 0 |
| verify | 1m 49s | – | 0 |
| fmt | 2s | – | 0 |
| **Total** | **30m 52s** | **$19.61** | **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>
Reframe the deployment docs around the actual product story: Fabro
runs as a server, and the only deployment question is where that
server runs (laptop vs self-hosted Docker). Drop the Render, Fly.io,
and DigitalOcean guides and their config files; keep Railway as the
managed shortcut.
- New: administration/deployment.mdx (overview, two-mode framing)
- New: administration/self-host-docker.mdx (compose-first how-to)
- Move: administration/deploy-server.mdx -> reference/server-operations.mdx
(it was operational reference, not deploy guidance)
- Delete: deploy-render.mdx, deploy-fly-io.mdx, deploy-digital-ocean.mdx
- Delete: render.yaml, fly.toml, railway.toml, Dockerfile.deploy
- docker-compose.yaml: load .env if present so users can drive the
stack from a single env file end-to-end
- Update internal links and the docs-test that pinned the old path
Reflect Docker as the default sandbox provider, add `skip_clone` for
clone-based providers, document the `[run.sandbox.docker]` config
table, and update tutorial command lines from `files-internal/...` to
`docs/internal/...`. Bump the docs skill watermark to the latest synced
commit.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Mintlify parses pages as MDX and rejects HTML-style `<!-- ... -->`
comments, which broke the docs deployment on cli.mdx with a parse
error. Switch the generator fences (and the matching markers in the
two reference pages and the dev test fixtures) to `{/* ... */}` so
Mintlify can parse them.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Drop async from validate::run after the preflight refactor removed all
awaits, replace absolute paths and a one-liner helper in
manifest_validation, swap a redundant to_path_buf for clone in a test,
and regenerate cli.mdx so docs check stays green.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Ensure local runs use the worktree checkpoint path by default, expose source and sandbox paths in API/web surfaces, and remove dead fork/rewind push controls. Update docs for clone-based sandboxes and durable checkpoint timelines.
Invert the docs convention so the Mintlify-published site lives under
docs/public/ and internal artifacts (strategy docs, brainstorms, plans,
etc.) sit at docs/ root or docs/internal/. Tools that default to writing
into docs/ now land in the catch-all instead of leaking into the
published tree.
- Move Mintlify content (administration/, agents/, api-reference/,
changelog/, core-concepts/, examples/, execution/, getting-started/,
human-tools/, integrations/, languages/, reference/, tutorials/,
workflows/, images/, logo/, docs.json, favicon.svg, dot-highlight.js)
into docs/public/.
- Collapse docs-internal/ into docs/internal/.
- Update Rust path references (fabro-api/build.rs, fabro-server,
fabro-dev), TypeScript generator arg, CI path filters, clippy.toml
reasons, AGENTS.md/CLAUDE.md, and README.md image refs.
Mintlify dashboard project root must be updated to docs/public/ in a
follow-up. .mintignore move/trim and .claude/skills/ updates land in a
separate commit.
