Replace fabro's hand-written agent loop with pebble's `CodingAgent` and
delete the `fabro-agent` crate.
Workflow: `PebbleBackend` builds one agent per stage over `RunSandbox`,
binds the stage's hooks as tool middleware, the interviewer as the
human-input provider, and a durable `EventSink` that writes every agent
event through the run event log before the agent goes on. Full-fidelity
threads continue across stages through `export`/`resume_from_export`.
Model failover takes the session record after the failed prompt and
continues it on the next route with `ResumeMode::UseModel`, so no tool
effect repeats. The steering hub targets pebble's control handle, with
a steering lease holding completion open while a human is paired.
Events: `EventBody::Agent` carries pebble's `CodingAgentEvent` envelope;
the per-variant bodies, the transcript projection, and the fabro-only
context-window, tool-summary, and skill types are gone in favor of
pebble's. The OpenAPI schemas, generated Rust and TypeScript clients,
and web readers follow.
Ask Fabro: the session runs a `CodingAgent` under a read-only permission
policy and a system prompt transform. Its conversation lives in a new
`run_session_records` table and resumes on the recorded model with the
event cursor advanced past the run log.
`fabro exec` builds the same agent over a local sandbox with pebble's
permission middleware and an interactive approval service.
The catalog fills in `metadata.agent.profile` for operator providers
that declare none, so pebble's lookup is the one resolution path.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Both sides rewrote the same crates. This branch replaced fabro's sandbox
layer with the sandbox driver: one RunSandbox, no Sandbox trait, driver
events consumed directly, MockSandbox over the driver's doubles. Main
replaced fabro's LLM layer with lithos-llm: fabro-model deleted, the
catalog and provider ids from lithos, credentials through the lithos
CredentialProvider, clients built with build_client.
Every conflict was one of those two renames meeting in an import list or
a signature, so the rule was mechanical: sandbox names resolve to this
branch, LLM names to main. Where main's newer code still used the old
sandbox API — new session tests over Arc::new(MockSandbox), the SDK
example's LocalSandbox, test fakes typed as Arc<dyn Sandbox> — it is
ported to RunSandbox and the mock helper. Where this branch still used
fabro-model or Client::from_source, main's replacement stands. One
combined future in the CLI runner crossed clippy's size budget and is
boxed at its call.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
fabro-types no longer re-exports the lithos catalog and request types
(ProviderId, ModelId, ModelHandle, Message, ContentPart, TokenCounts,
Cost, Speed, ReasoningEffort, ReasoningOutput, and the rest). Every
crate that uses them depends on lithos-llm and names them there, and
the fabro-api progenitor replacements point at the lithos paths.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
lithos-llm now ships the built-in provider ids and constructors, so
fabro-types drops its provider_ids module and every caller uses
lithos_llm::catalog::builtin directly. The crates that name a provider
now depend on lithos-llm themselves.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Delete fabro-llm's attachments, reasoning, and structured modules and
the LlmError newtype and ErrorFacts trait. lithos-llm now provides all
of them: InlineLocalFiles under the local-files feature, ReasoningOutput
with Response::reasoning(), Client::complete_object, and the retry,
auth, cancel, and failover predicates directly on Error and ErrorData.
fabro-llm keeps only failure_signature_hint, which is Fabro's own loop
detection policy.
Store ErrorData directly in the agent and workflow error enums, boxed
where the variant would otherwise dominate the enum size. Repin
lithos-llm to a1e3fd3 for these additions.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
fabro-auth defined its own `CredentialSource` trait beside the lithos
`CredentialProvider`, with a parallel `ResolveError` and an adapter between
them, because lithos had no way to ask which providers a store can serve
right now. It does now: `credentials::readiness`, `ClientBuilder::build_ready`,
and `CredentialError::Unusable`.
- The vault, SQL vault, API-key, and extra-headers stores implement
`CredentialProvider` directly. Material that is present but unusable (an
expired token with no refresh, a wrong-typed vault entry, a header secret
that did not resolve, a store read failure) is `CredentialError::Unusable`
with the operator-facing reason; its `Display` replaces
`auth_issue_message`. `is_configured` is the cheap presence check.
- `fabro_llm::build_client` calls `build_ready`; `FabroClient::auth_issues`
carries `CredentialError`. `fabro_llm::configured_providers` replaces the
per-store `configured_providers` method.
- `CredentialSource`, `ResolvedCredentials`, `lithos_credentials`,
`ResolveError`, and `auth_issue_message` are deleted. Twenty files that
held `Arc<dyn CredentialSource>` hold `Arc<dyn CredentialProvider>`.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Fabro carried its own Sandbox trait long after every implementation
became a thin layer over the sandbox driver: one production type
implemented it, a delegation macro forwarded it, and each consumer crate
kept hand-written fakes of its thirty methods for tests. The trait
existed to be mocked, and the mocks pinned behavior that no provider
had — canned walk listings that ignored the traversal root, opaque
provider paths, activation failures with no lifecycle behind them.
There is now one sandbox type. RunSandbox keeps fabro's semantics — path
resolution against the run's working directory, the Bash exec policy,
git setup and push, credential refresh — as inherent methods over the
driver's exec, filesystem, search, and git facets, and every consumer
takes Arc<RunSandbox>. The directory, grep, and walk types are the
driver's own, re-exported from fabro-sandbox. The exec policy reports
the provider's measured duration rather than its own clock.
Tests script a sandbox through fabro-sandbox's MockSandbox: a struct of
fields (seeded files, the result every command returns, the platform,
a runtime directory) that hands out a RunSandbox over the driver's
scripted doubles and reads back what the code did — commands, timeouts,
environment, term stops, writes, deletes, existence probes. The
hand-written fakes in fabro-agent, fabro-acp, fabro-hooks,
fabro-workflow, and fabro-server are gone; the one wrapper a git
integration test still needs sits at the driver level, hiding a path
from a real Host sandbox. The refresh-ahead loop takes the refresh as a
closure so its schedule is tested without a sandbox at all.
The driver pin moves to the testing-crate stack head, which gained the
double behavior these ports needed: retention caps on scripted output,
canned walks narrowed to the requested base, upload and download on the
memory filesystem, and recorders for deletes, existence probes, and
term stops. One test that modelled a provider handing back opaque object
paths from a walk is removed: the driver contract has no such thing.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The `[llm]` reference now describes `enabled`, `api_key_url`,
`stands_in_for`, `small_default`, `probe`, `family`, and the cutoffs as
lithos fields, the coding harness under `metadata.agent`, and the secret
names lithos derives for operator-defined providers. Secret-bearing
headers go in `default_headers` as `{{ secrets.NAME }}` tokens. The
integration guides enable a provider with `enabled = true` on its table.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
lithos-llm now owns which named secrets each provider reads and how they
shape into its auth scheme, including a derived `<PROVIDER>_API_KEY` for
operator-defined providers. Fabro's job shrinks to supplying the store:
`VaultCredentialSource` hands lithos a lookup that reads the process
environment, then the vault, under the same conventional names.
What Fabro still adds on top: the Codex OAuth credential in the vault,
refreshed and persisted when it expires; `{{ secrets.NAME }}` tokens in a
provider's `default_headers`, resolved against the vault and re-sent as
credential headers; and OpenAI organization and project headers from the
environment.
Deleted with the `metadata.fabro.credentials` list: `CredentialRef`,
`CredentialResolver`, `EnvCredentialSource` (now
`VaultCredentialSource::environment_only`), and the `env_var_names` /
`expected_vault_secret_name` helpers, replaced by `secret_names` and
`expected_secret_name` over the lithos table. `openai-codex` joins the
first-party provider id constants.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Three copies of the same mapping turned an environment into a sandbox:
Docker had its own options type built from the environment, Daytona a
config type with its own network enum and minute-and-gigabyte units,
and plugin kinds a third options type, each with its own spec builder,
constructor, and attach function, and the run spec had a variant per
provider carrying them. The mapping now runs once. SandboxOptions is
what any environment asks of any provider; options_from_environment
builds it, and one base spec carries the source, name, labels,
variables, resources, and network policy. Docker and Daytona are
overlays on that spec: Docker fixes its working directory, supplies the
default image, and pulls; Daytona replaces the source with the snapshot
it ensures from the same image or Dockerfile, fixes its working
directory and name, and sets the timers. The snapshot's content-addressed
name is unchanged, since the identity still hashes the image or
Dockerfile and the resources in whole gigabytes.
SandboxSpec has two variants, Local and Provider, and the worker and
the server preflight build the Provider one without knowing which kind
it is; provider_sandbox and attach_provider_sandbox connect any kind
through the single construction function and lay the repository out
where that kind keeps it. The per-provider constructors, the config
module, and the environment mapping module are gone, and the SDK
reference and the integration tests use the one constructor.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The `daytona` provider kind now maps onto the sandbox-driver Daytona
provider instead of fabro's own SDK client. Fabro keeps what is its own:
the HMAC-named snapshot built from the environment's image or Dockerfile,
the explicit 120 minute auto-stop default, the managed labels that gate
destructive operations, the clone decision and layout, and push
credentials. The driver creates the sandbox, clones natively, and serves
exec, files, search, terminal, SSH, preview, and VNC through its facets.
- `daytona.rs` builds the driver `SandboxSpec` (snapshot source,
`/home/daytona/workspace`, labels, timers, network policy, run name),
ensures the snapshot through the driver `SnapshotProvider`, attaches by
persisted id with fabro's label guard, and probes credentials through
the provider health check under fabro's 20 second budget.
- `DriverSandbox` gains a create plan that settles the spec right before
the provider call, records the snapshot a sandbox came from, and
reports the provider console URL on `Ready`.
- Terminals use the driver `Pty` facet; the server's SSH, preview, and
VNC endpoints use the `SshAccess`, `PreviewUrls`, and `Vnc` facets
through the driver-typed reconnect. The preview endpoint now answers
for every provider with a preview facet, so the local sandbox returns
its loopback URL.
- Daytona credentials travel as `DaytonaCredentials` built from the
vault key plus configured URL and organization; nothing reads the
process environment implicitly. The inventory registry uses the shared
`DriverInventoryProvider`.
- The SDK-based `daytona/mod.rs`, `provider/daytona.rs`, the Daytona
terminal, the `daytona` cargo feature, and the direct daytona-sdk,
git2 (in fabro-sandbox), tungstenite, and rustls dependencies are
gone. The live Daytona tests run against the driver-backed sandbox.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
fabro-model's ids and billing rollup now live in fabro-types, and its
pricing, catalog, provider TOMLs, and legacy index are replaced by the
lithos built-in catalog plus the Fabro policy layer.
Regenerate the configuration reference for the `[llm]` overlay and
`metadata.fabro`, and rewrite the SDK, models, and integration docs for
the lithos provider and model shapes.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Fabro's Docker provider kind now maps onto the sandbox-driver Docker
provider instead of its own bollard implementation. Fabro keeps what is
its own: the clone decision and repository layout, the GitHub App push
credentials embedded in origin, git retry classification, the managed
labels that gate destructive operations, and the run-facing events.
- `clone.rs` performs fabro's clone over the driver `Git` and `Exec`
facets. An exact commit goes through the driver's pinned clone; a tag
pin runs fabro's init/fetch/attach sequence through `Exec` so the
fully qualified tag ref is the only revision consulted. Network
failures retry through `git_retry`, which now classifies driver errors
(exec output, provider retryability) and never replays an operation
whose outcome is unknown.
- `DriverSandbox` gains a pending-create state, a `RepoWorkspace` with
push-credential state, path resolution against the cloned working
directory, git lifecycle methods, image-pull progress mapped from
driver events, and an embedded terminal over the driver `Pty` facet.
- `docker.rs` builds the driver `SandboxSpec` (image, `/workspace`,
fabro labels, env, cpu/memory, network policy, run name) and attaches
by persisted container id, refusing containers without fabro's labels.
- Inventory, details, diagnostics, terminal, and reconnect run over the
driver: a `DriverInventoryProvider` lists by fabro's managed label and
projects `SandboxStatus` into fabro's inventory and details shapes.
- The bollard-based `docker.rs`, `provider/docker.rs`, Docker terminal,
Docker error variants, the `docker` cargo feature, and the bollard and
tar dependencies are gone. The Docker integration tests, the agent
shell test, the workflow artifact test, and the driver benchmark run
against the driver-backed sandbox.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Resolve the model catalog table conflict in docs/public/core-concepts/models.mdx
by keeping both changes: this branch's `kimi` -> `moonshot` provider rename for
the Kimi rows, and main's new DeepSeek V4 rows.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
`ReadBeforeWriteSandbox` blocked writes to any existing file the agent
had not read, tracked by a session read set populated only by
`read_file`, `grep`, `read_many_files`, and the Kimi `Read`.
The gpt56 profile has none of those. It mirrors Codex's tool contract --
`shell_command`, `apply_patch`/`edit_file`, `update_plan`, `web_search`
-- and reads through the shell, so its read set stayed permanently
empty and every edit to an existing file failed. In run
01KYD4360GN6SED4BYEVGYP4XT all 28 `edit_file` calls failed, 25 of them
on the guard. The agent read `package.json` with `sed` and `cat`,
hex-dumped it trying to diagnose the rejections, then routed around the
guard with `sed -i`, which the guard never covered. It prevented no
blind write; it converted content-anchored edits into an unreviewed
in-place shell rewrite.
Neither Codex nor Kimi Code enforces read-before-write at runtime.
Codex's `apply_patch` `Add File` overwrites an existing path silently;
Kimi Code's `Write` has no check at all. Both rely on the exact-match
requirement in their edit tools, which is stronger proof of inspection
than a read set, plus per-write approval.
Tool descriptions and the Kimi prompt keep telling the model to read
before editing -- that guidance matches Kimi Code's own `edit.md` and
still prevents `old_string not found` -- but no longer claim the
workspace refuses unread writes.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Add Poolside as a built-in OpenAI-compatible provider and expose Laguna S 2.1 and XS 2.1 both directly and through OpenRouter. Include vault/env credential registration, secret redaction, live coverage, catalog tests, and user documentation.
Use raw sandbox reads for memory and skills, keep line-numbered reads focused on display, and share retry-delay handling across agent and LLM code.
Trim task tool descriptions, bound multi-file read concurrency, restore Docker's text read path, and add the reviewed implementation plan docs.
## 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
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
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>
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.
