mirror of
https://github.com/fabro-sh/fabro.git
synced 2026-10-10 03:30:59 +00:00
Some checks failed
Rust / Format (push) Has been cancelled
Rust / Clippy (push) Has been cancelled
Rust / Generated Docs (push) Has been cancelled
TypeScript / Build (push) Has been cancelled
Rust / Test (Linux) (push) Has been cancelled
Rust / Test (macOS) (push) Has been cancelled
TypeScript / Typecheck (push) Has been cancelled
TypeScript / Test (push) Has been cancelled
## Problem The `local` sandbox uses the run's `source_directory` (the CLI's cwd at invocation time) as its working directory and `create_dir_all`s it on the server (`LocalSandbox::initialize` in `fabro-sandbox`). That is correct when the CLI and the server share a host — the agent operates directly on the user's project tree. When the server is **remote** from the CLI — e.g. `fabro serve` running in a container in Kubernetes, driven over HTTP with the `local` sandbox — the client's cwd (e.g. `/Users/alice/project`) does not exist on the server. The sandbox then tries to create that path as the (often unprivileged) server user and fails at init: ``` sandbox.failed provider="local" error="Failed to create working directory" causes=["Permission denied (os error 13)"] ``` and the run dies with `workflow_error` before the agent starts. ## Fix When `source_directory` is absent or does not exist on the server, fall back to a server-writable `workspace` directory under the run's scratch dir instead of recreating the client path. **Same-host behavior is unchanged**: an existing `source_directory` is still used as-is. The selection is extracted into a small pure helper, `local_working_directory(source_directory, run_dir)`, so it can be unit-tested directly. ## Testing - `cargo test -p fabro-workflow local_working_directory` — 3 new tests (existing source dir → used; absent → fallback; present-but-missing-on-server → fallback) - `cargo check -p fabro-workflow` 🤖 Generated with [Claude Code](https://claude.com/claude-code) Thanks for fabro @brynary! --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
228 lines
7.7 KiB
Text
228 lines
7.7 KiB
Text
---
|
|
title: "Environments"
|
|
description: "Reusable named execution environments for workflow runs"
|
|
---
|
|
|
|
Fabro separates **environments** from **sandboxes**:
|
|
|
|
- An **environment** is reusable desired configuration: provider, image, resources, network, lifecycle, labels, and environment variables.
|
|
- A **sandbox** is the concrete runtime instance Fabro creates for a run from the selected environment.
|
|
|
|
<Warning>
|
|
Older pre-v1.0 config files that still use `[run.sandbox]` are temporarily auto-migrated when Fabro loads them from disk. Fabro writes a sibling `*.legacy-sandbox-migration.bak` file, rewrites the config to `[run.environment]` plus an environment definition, and then continues startup.
|
|
|
|
Similarly, `[environments.*]` tables in the server's active `settings.toml` are auto-migrated on startup: each entry is extracted into a sibling `environments/<id>.toml` file, with a `.settings-environments-migration.bak` backup written first.
|
|
|
|
These compatibility rewrites only handle direct field mappings. Unsupported legacy fields fail with a migration message that lists the keys to edit manually. The rewrite paths will be removed before v1.0.
|
|
</Warning>
|
|
|
|
Runs select environments by slug:
|
|
|
|
```toml title="workflow.toml"
|
|
[run.environment]
|
|
id = "fabro-dev"
|
|
```
|
|
|
|
Environments are server-managed. The server keeps one TOML file per environment in an `environments/` directory next to its `settings.toml`, seeded on first startup with built-in `default`, `local`, `docker`, and `daytona` environments. Manage them by editing those files or through the `/api/v1/environments` REST API. Workflow and project TOML can additionally define `[environments.<slug>]` catalog entries that merge with the server catalog through the normal settings precedence. The built-in default is `default`, a Docker environment using `buildpack-deps:noble`.
|
|
|
|
## Defining environments
|
|
|
|
Each server-managed environment is a file whose name is its slug:
|
|
|
|
```toml title="environments/fabro-dev.toml"
|
|
provider = "daytona" # local | docker | daytona
|
|
|
|
[image]
|
|
dockerfile = { path = "Dockerfile" }
|
|
|
|
[resources]
|
|
cpu = 8
|
|
memory = "16GB"
|
|
disk = "20GB"
|
|
|
|
[network]
|
|
mode = "cidr_allow_list" # allow_all | block | cidr_allow_list
|
|
allow = ["10.0.0.0/8"]
|
|
|
|
[lifecycle]
|
|
preserve = false
|
|
stop_on_terminal = true
|
|
auto_stop = "30m"
|
|
|
|
[labels]
|
|
repo = "fabro-sh/fabro"
|
|
|
|
[env]
|
|
NODE_ENV = "development"
|
|
```
|
|
|
|
Server-managed local environments can also set `cwd`, an optional runtime
|
|
command working directory:
|
|
|
|
```toml title="environments/host.toml"
|
|
provider = "local"
|
|
cwd = "/srv/fabro/workspaces/team-a"
|
|
```
|
|
|
|
`cwd` is owned by the server environment and is only honored by the `local`
|
|
provider. It is not a replacement for `run.working_dir`. Docker and Daytona
|
|
ignore `cwd` and report a preflight warning because those clone-based providers
|
|
own their workspace layout. Workflow, project, user, and direct-run
|
|
`[environments.<slug>]` catalogs cannot set `cwd`; configure it in the
|
|
server-managed environment file or through the environments API.
|
|
|
|
The same fields nest under `[environments.<slug>]` when defined in workflow or project TOML instead:
|
|
|
|
```toml title="workflow.toml"
|
|
[run.environment]
|
|
id = "fabro-dev"
|
|
|
|
[environments.fabro-dev]
|
|
provider = "daytona"
|
|
|
|
[environments.fabro-dev.image]
|
|
dockerfile = { path = "Dockerfile" }
|
|
|
|
[environments.fabro-dev.resources]
|
|
cpu = 8
|
|
memory = "16GB"
|
|
disk = "20GB"
|
|
|
|
[environments.fabro-dev.network]
|
|
mode = "cidr_allow_list" # allow_all | block | cidr_allow_list
|
|
allow = ["10.0.0.0/8"]
|
|
|
|
[environments.fabro-dev.lifecycle]
|
|
preserve = false
|
|
stop_on_terminal = true
|
|
auto_stop = "30m"
|
|
|
|
[environments.fabro-dev.labels]
|
|
repo = "fabro-sh/fabro"
|
|
|
|
[environments.fabro-dev.env]
|
|
NODE_ENV = "development"
|
|
```
|
|
|
|
Run-level overrides are sparse and apply only to the selected environment:
|
|
|
|
```toml title="workflow.toml"
|
|
[run.environment]
|
|
id = "fabro-dev"
|
|
|
|
[run.environment.resources]
|
|
memory = "32GB"
|
|
|
|
[run.environment.lifecycle]
|
|
preserve = true
|
|
```
|
|
|
|
`env` and `labels` merge by key.
|
|
|
|
## Selecting an environment from the CLI
|
|
|
|
Use `--environment` with an environment slug:
|
|
|
|
```bash
|
|
fabro run workflow.fabro --environment fabro-dev
|
|
fabro preflight workflow.fabro --environment ci
|
|
fabro server start --environment default
|
|
```
|
|
|
|
`--preserve-sandbox` still controls the concrete runtime instance lifecycle for a run. Runtime commands such as `fabro sandbox ssh` keep the word "sandbox" because they operate on an already-created runtime instance.
|
|
|
|
## Built-in environments
|
|
|
|
The server seeds four built-in environments on first startup: `default`, `local`, `docker`, and `daytona`. Missing files are re-seeded, so editing a seeded file customizes it while deleting it restores the built-in definition on the next restart. The seeded default:
|
|
|
|
```toml title="environments/default.toml"
|
|
provider = "docker"
|
|
|
|
[image]
|
|
docker = "buildpack-deps:noble"
|
|
|
|
[resources]
|
|
cpu = 2
|
|
memory = "4GB"
|
|
|
|
[lifecycle]
|
|
preserve = false
|
|
stop_on_terminal = true
|
|
```
|
|
|
|
## Provider mappings
|
|
|
|
| Environment field | Local | Docker | Daytona |
|
|
|---|---|---|---|
|
|
| `image.docker` | Ignored | Docker image | Error |
|
|
| `image.dockerfile` | Ignored | Warning; ignored | Snapshot Dockerfile; Fabro computes the snapshot name |
|
|
| `resources.cpu` | Warning; ignored | `cpu_quota = cpu * 100000` | Snapshot CPU |
|
|
| `resources.memory` | Warning; ignored | Container memory limit | Snapshot memory |
|
|
| `resources.disk` | Warning; ignored | Warning; ignored | Snapshot disk |
|
|
| `network.mode = "allow_all"` | Host network | Docker default bridge | Daytona allow-all |
|
|
| `network.mode = "block"` | Error | Docker `none` network | Daytona block |
|
|
| `network.mode = "cidr_allow_list"` | Error | Error | Daytona CIDR allow-list |
|
|
| `labels` | Warning; ignored | Warning; ignored | Daytona labels |
|
|
| `lifecycle.auto_stop` | Warning; ignored | Warning; ignored | Daytona auto-stop |
|
|
| `env` | Process environment overlay | Container environment | Sandbox environment |
|
|
| `cwd` | Server-side command working directory | Warning; ignored | Warning; ignored |
|
|
|
|
## Local
|
|
|
|
`local` runs tools directly in the resolved working directory. It offers no filesystem or network isolation, so use it only for trusted workflows.
|
|
|
|
```toml title="environments/host.toml"
|
|
provider = "local"
|
|
cwd = "/srv/fabro/workspaces/team-a"
|
|
```
|
|
|
|
When `cwd` is set, local runs execute commands from that absolute server-side
|
|
path. When it is unset, Fabro keeps same-host compatibility by using the
|
|
submitted source directory only if that path exists on the server. If neither is
|
|
available, the run fails before execution with a remediation to configure
|
|
`cwd`.
|
|
|
|
Fabro hard-errors if a local environment asks for blocked or CIDR-restricted networking because the provider cannot enforce it.
|
|
|
|
## Docker
|
|
|
|
Docker runs tools inside a container created from `image.docker`. Docker is the built-in default provider.
|
|
|
|
```toml title="environments/ci.toml"
|
|
provider = "docker"
|
|
|
|
[image]
|
|
docker = "buildpack-deps:noble"
|
|
|
|
[resources]
|
|
cpu = 2
|
|
memory = "4GB"
|
|
|
|
[network]
|
|
mode = "block"
|
|
```
|
|
|
|
Docker and Daytona are clone-based providers. When a run has a GitHub origin, Fabro clones it into the provider workspace. Set `[run.clone] enabled = false` to start with an empty workspace. Docker and Daytona ignore `cwd`; use the provider-owned workspace layout and `run.working_dir` for repository-relative commands.
|
|
|
|
## Daytona
|
|
|
|
Daytona runs tools in a cloud sandbox. Without `image.dockerfile`, Fabro uses Daytona's built-in `daytona-medium` snapshot. With `image.dockerfile`, Fabro computes a deterministic internal snapshot name from the Dockerfile, resource hints, a single-tenant scope, and the Daytona API key.
|
|
|
|
```toml title="environments/cloud.toml"
|
|
provider = "daytona"
|
|
|
|
[image]
|
|
dockerfile = { path = "Dockerfile" }
|
|
|
|
[resources]
|
|
cpu = 4
|
|
memory = "8GB"
|
|
disk = "20GB"
|
|
|
|
[lifecycle]
|
|
auto_stop = "30m"
|
|
|
|
[network]
|
|
mode = "cidr_allow_list"
|
|
allow = ["208.80.154.232/32", "10.0.0.0/8"]
|
|
```
|