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fabro/docs/public/reference/user-configuration.mdx
fabro-sh-0530[bot] 7f84ac5e3f
Replace run-scoped sandbox config with named environments (#360) 
## Summary

Replaces the `[run.sandbox]` configuration surface with a named,
provider-explicit environment catalog. Runs now select an environment by
slug (`[run.environment] id = "..."`) rather than configuring a sandbox
inline. Fabro resolves the catalog through normal settings precedence,
applies sparse run-level overrides, and creates a concrete sandbox from
the resolved environment.

This is a clean break — no `[run.sandbox]` compatibility layer.

### Plan Summary

- **New config shape:** Top-level `[environments.<slug>]` catalog valid
in `settings.toml`, `.fabro/project.toml`, and `workflow.toml`. Runs
reference a slug via `[run.environment] id = "..."` with optional sparse
overrides under `[run.environment.*]`.
- **Unified environment fields:** `provider`, `image` (ref +
dockerfile), `resources` (cpu/memory/disk), `network` (mode + allow
CIDRs), `lifecycle` (preserve/stop_on_terminal/auto_stop), `labels`,
`volumes`, `env` — replacing the previous split between `[run.sandbox]`,
`[run.sandbox.docker]`, `[run.sandbox.daytona]`, and
`[run.sandbox.daytona.snapshot]`.
- **OpenAPI schema update:** `RunSandboxSettings`, `DockerSettings`,
`DaytonaSettings`, and `DaytonaNetworkLayer` replaced with
`RunEnvironmentSettings`, `EnvironmentSettings`, `EnvironmentProvider`,
`EnvironmentImageSettings`, `EnvironmentResourcesSettings`,
`EnvironmentNetworkSettings`, `EnvironmentLifecycleSettings`, and
`EnvironmentVolumeSettings`.
- **CLI flag rename:** `--sandbox <provider>` → `--environment <slug>`
on `run`, `create`, `preflight`, and `server start/restart`.
- **Provider capability model:** Hard errors for security properties a
provider cannot enforce (local with blocked/CIDR networking; docker with
CIDR allow-lists). Warnings for unsupported resource limits, volumes,
labels, auto-stop, and Docker Dockerfiles.
- **Docs and internal code updated** throughout: `.fabro/project.toml`,
workflow configs, all public docs, CLI args, manifest builders, and the
runner's GitHub credentials check.

### Provider mapping

| Environment field | Local | Docker | Daytona |
|---|---|---|---|
| `image.ref` | Ignored | Docker image | Snapshot name |
| `image.dockerfile` | Ignored | Warning; ignored | Snapshot Dockerfile
(requires `image.ref`) |
| `resources.cpu/memory/disk` | Warning; ignored | cpu_quota / memory
limit / warning | Snapshot sizing |
| `network.mode = block` | **Error** | `network_mode = none` | Daytona
block |
| `network.mode = cidr_allow_list` | **Error** | **Error** | Daytona
CIDR allow-list |
| `labels` | Warning; ignored | Warning; ignored | Daytona labels |
| `volumes` | Warning; ignored | Warning; ignored | Daytona volume
mounts |
| `lifecycle.auto_stop` | Warning; ignored | Warning; ignored | Daytona
auto-stop interval |
| `env` | Process env overlay | Container env | Sandbox env |


### Fabro Details

<details>
<summary>Ran 11 stages in 217m 39s for $129.86</summary>

| Stage | Duration | Cost | Retries |
|---|---|---|---|
| start | 0s | – | 0 |
| toolchain | 1s | – | 0 |
| preflight_compile | 4m 7s | – | 0 |
| preflight_lint | 4m 9s | – | 0 |
| fix_lints | 3m 46s | $1.06 | 0 |
| implement | 76m 6s | $57.39 | 0 |
| simplify_opus | 71m 50s | $38.17 | 0 |
| simplify_gpt | 8m 27s | $2.24 | 0 |
| verify | 6m 10s | – | 0 |
| fixup | 42m 1s | $31.00 | 0 |
| fmt | 3s | – | 0 |
| **Total** | **217m 39s** | **$129.86** | **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.", model="gpt-55", reasoning_effort="xhigh"]
    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: Bryan Helmkamp <bhelmkamp@users.noreply.github.com>
2026-05-23 13:03:21 -04:00

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---
title: "Settings Configuration"
description: "Configure CLI and shared machine defaults with settings.toml"
---
Fabro loads machine defaults from `~/.fabro/settings.toml`. The file is optional. If it does not exist, Fabro falls back to built-in defaults.
The CLI and server each read the sections relevant to their own process. On a remote deployment, the CLI machine and the server machine each have their own `settings.toml`.
<Note>
Fabro only reads `settings.toml`. Older `cli.toml`, `user.toml`, and `server.toml` filenames are no longer part of the supported config surface.
</Note>
## File location
The default path is `~/.fabro/settings.toml`.
Use `fabro server start --config /path/to/settings.toml` if the server should read a different file.
## Schema version
Every Fabro config file must declare its schema version with a top-level `_version` key:
```toml title="settings.toml"
_version = 1
```
Files that omit `_version` are treated as version `1`. The legacy top-level `version` key is no longer accepted and raises a targeted rename hint.
## Who reads what
`settings.toml` uses the same schema as `.fabro/project.toml` and `workflow.toml`, but each process only reads the fields it understands. The top-level schema is strictly namespaced — the only allowed domains are `[project]`, `[workflow]`, `[run]`, `[llm]`, `[cli]`, and `[server]`.
| Scope | Examples |
|---|---|
| CLI-only | `[cli.target]`, `[cli.auth]`, `[cli.exec]`, `[cli.output]`, `[cli.updates]`, `[cli.logging]` |
| Shared run defaults | `[run.model]`, `[run.environment]`, `[environments.<slug>]`, `[run.checkpoint]`, `[run.inputs]`, `[run.prepare]`, `[run.pull_request]`, `[run.integrations.github.permissions]`, `[run.hooks]`, `[run.agent.mcps]` |
| Shared LLM catalog | `[llm.providers.<id>]`, `[llm.models.<id>]`, model limits, features, controls, and costs |
| Server-only | `[server.listen]`, `[server.api]`, `[server.web]`, `[server.auth]`, `[server.storage]`, `[server.artifacts]`, `[server.slatedb]`, `[server.scheduler]`, `[server.logging]`, `[server.integrations]` |
`[cli.*]` and `[server.*]` stanzas are owner-specific: they are only consumed from `~/.fabro/settings.toml` (plus process-local flags and env overrides). The same stanzas in `.fabro/project.toml` or `workflow.toml` remain schema-valid but runtime-inert.
See [Server Configuration](/administration/server-configuration) for the server-owned sections.
## Precedence
Shared layered domains (`[project]`, `[workflow]`, `[run]`) use this override order:
1. **CLI flags** — always win
2. **Environment overrides** — Fabro-defined override channels
3. **`workflow.toml`** — per-workflow overrides
4. **`.fabro/project.toml`** — project defaults
5. **`~/.fabro/settings.toml`** — machine defaults
6. **Built-in defaults**
Owner-specific domains (`[cli.*]`, `[server.*]`) use a narrower trust boundary — only CLI flags, env overrides, `~/.fabro/settings.toml`, and built-in defaults apply.
## Full example
```toml title="settings.toml"
_version = 1
[cli.target]
type = "http"
url = "https://fabro.example.com/api/v1"
[cli.exec]
prevent_idle_sleep = true
[cli.exec.model]
provider = "anthropic"
name = "claude-opus-4-6"
[cli.exec.agent]
permissions = "read-write"
[cli.output]
format = "text"
verbosity = "normal"
[cli.updates]
check = true
[cli.logging]
level = "info"
[llm.providers.proxy]
display_name = "Acme Gateway"
adapter = "openai_compatible"
base_url = "https://llm-gateway.example.com/v1"
aliases = ["gateway"]
[llm.providers.proxy.auth]
credentials = ["env:ACME_GATEWAY_API_KEY", "vault:ACME_GATEWAY_API_KEY"]
[llm.providers.proxy.extra_headers]
x-portkey-api-key = { env = "PORTKEY_API_KEY" }
x-portkey-config = { literal = "@bedrock-prod" }
[llm.models."team-code-large"]
provider = "proxy"
api_id = "provider-wire-model-name"
agent_profile = "anthropic"
display_name = "Team Code Large"
default = true
aliases = ["team-code"]
[llm.models."team-code-large".controls]
reasoning_effort = ["low", "medium", "high"]
speed = ["fast"]
[llm.models."team-code-large".costs]
input_cost_per_mtok = 1.50
output_cost_per_mtok = 8.00
[llm.models."team-code-large".costs.speed.fast]
input_cost_per_mtok = 3.00
output_cost_per_mtok = 16.00
[run.model]
name = "claude-sonnet-4-5"
[run.git.author]
name = "fabro-bot"
email = "fabro-bot@company.com"
[run.pull_request]
enabled = true
[run.integrations.github.permissions]
contents = "write"
pull_requests = "write"
[run.agent.mcps.filesystem]
type = "stdio"
command = ["npx", "-y", "@modelcontextprotocol/server-filesystem", "/workspace"]
startup_timeout = "15s"
tool_timeout = "90s"
[run.agent.mcps.filesystem.env]
NODE_ENV = "production"
[run.agent.mcps.sentry]
type = "http"
url = "https://mcp.sentry.dev/mcp"
[run.agent.mcps.sentry.headers]
Authorization = "Bearer sk-xxx"
```
All fields are optional. Include only the sections and keys you want to override. A single file can still include both CLI and server sections when you run both processes on one machine, but explicit remote targets do not read remote server state from the local machine.
{/* generated:options */}
## `[cli.target]`
Connection info for commands that target a remote Fabro server.
```toml title="settings.toml"
[cli.target]
type = "http"
url = "https://fabro.example.com/api/v1"
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `type` | `"http"` \| `"unix"` | None | Explicit transport selection. |
| `url` | string | None | Required for `type = "http"`; the API base URL. |
| `path` | string | None | Required for `type = "unix"`; the absolute Unix socket path. |
## `[llm.providers.<id>]`
Define or override an LLM provider. Provider IDs are strings, so custom
providers can be added when they use an adapter Fabro already supports.
```toml title="settings.toml"
[llm.providers.proxy]
display_name = "Acme Gateway"
adapter = "openai_compatible"
base_url = "https://llm-gateway.example.com/v1"
priority = 50
enabled = true
aliases = ["gateway"]
[llm.providers.proxy.auth]
credentials = ["env:ACME_GATEWAY_API_KEY", "vault:ACME_GATEWAY_API_KEY"]
[llm.providers.proxy.extra_headers]
x-portkey-api-key = { env = "PORTKEY_API_KEY" }
x-portkey-config = { literal = "@bedrock-prod" }
x-team-secret = { vault = "gateway_team_secret" }
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `display_name` | string | provider ID | Human-readable provider name. |
| `adapter` | string | built-in value | Adapter registry key, such as `"anthropic"`, `"openai"`, `"gemini"`, or `"openai_compatible"`. Required for new providers. |
| `agent_profile` | `"anthropic"` \| `"openai"` \| `"gemini"` | derived from `adapter` | Agent profile used for project memory, CLI/ACP command selection, and native session routing. Override only when a provider needs profile behavior different from its adapter. |
| `billing_policy` | `"openai"` \| `"anthropic"` \| `"gemini"` \| `"none"` | derived from `adapter` | Provider-owned billing algorithm for usage estimates. Override for exceptional providers such as local no-billing runtimes. |
| `base_url` | string | built-in value or adapter runtime default | Provider API base URL. Required for most custom OpenAI-compatible providers. |
| `auth` | table | omitted | API-key auth config. Omit the table entirely for providers that need no API key; any `extra_headers` are still attached. |
| `auth.credentials` | array<string> | required when `auth` present | Ordered credential refs. Accepted forms are `vault:<NAME>` and `env:<NAME>`. Literal secret strings are rejected. |
| `auth.header` | `"bearer"` or `{ custom = "Header-Name" }` | `"bearer"` | Primary API-key header policy. Omit when the provider uses a standard bearer token. |
| `extra_headers` | table | `{}` | Additional headers attached to provider requests. Values must be typed refs: `{ literal = "..." }`, `{ env = "NAME" }`, or `{ vault = "NAME" }`. |
| `priority` | integer | `0` | Higher-priority configured providers win default selection; ties use canonical provider ID. |
| `enabled` | boolean | `true` | Set `false` to disable a provider after lower-precedence layers define it. |
| `aliases` | array<string> | `[]` | Additional provider names accepted by model routing and fallback config. |
## `[llm.models.<id>]`
Define or override a model in the catalog. The table key is the canonical
model ID Fabro users reference; `api_id` is the model string sent to the
provider API.
```toml title="settings.toml"
[llm.models."team-code-large"]
provider = "proxy"
api_id = "provider-wire-model-name"
agent_profile = "anthropic"
display_name = "Team Code Large"
family = "team-code"
default = true
probe = true
enabled = true
aliases = ["team-code"]
estimated_output_tps = 80
[llm.models."team-code-large".limits]
context_window = 200000
max_output = 32000
[llm.models."team-code-large".features]
tools = true
vision = false
reasoning = true
reasoning_effort = "levels"
prompt_cache = true
[llm.models."team-code-large".controls]
reasoning_effort = ["low", "medium", "high"]
speed = ["fast"]
[llm.models."team-code-large".costs]
input_cost_per_mtok = 1.50
output_cost_per_mtok = 8.00
cache_input_cost_per_mtok = 0.30
[llm.models."team-code-large".costs.speed.fast]
input_cost_per_mtok = 3.00
output_cost_per_mtok = 16.00
cache_input_cost_per_mtok = 0.60
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `provider` | string | None | Provider ID this model belongs to. |
| `api_id` | string | model ID | Identifier sent to the provider API. |
| `agent_profile` | `"anthropic"` \| `"openai"` \| `"gemini"` | provider profile | Agent profile override for this model. Model overrides take precedence over provider overrides. |
| `display_name` | string | model ID | Human-readable model name. |
| `family` | string | model ID | Family label used for catalog display and matching. |
| `training` | string | None | Training data cutoff label. |
| `knowledge_cutoff` | string or TOML date | None | Public knowledge cutoff label; TOML dates normalize to `YYYY-MM-DD`. |
| `default` | boolean | `false` | Whether this is the provider default model. |
| `probe` | boolean | `false` | Whether this model should be preferred for provider connectivity probes. Set `false` in a higher-precedence layer to clear an inherited probe marker. |
| `enabled` | boolean | `true` | Set `false` to disable a model after lower-precedence layers define it. |
| `aliases` | array<string> | `[]` | Additional model names accepted by routing and fallback config. |
| `estimated_output_tps` | number | None | Estimated output tokens per second for catalog display and planning. |
## `[llm.models.<id>.limits]`
| Key | Type / values | Default | Description |
|---|---|---|---|
| `context_window` | integer | None | Maximum context window size in tokens. |
| `max_output` | integer | None | Maximum output tokens, if known. |
## `[llm.models.<id>.features]`
| Key | Type / values | Default | Description |
|---|---|---|---|
| `tools` | boolean | `false` | Whether the model supports tool calls. |
| `vision` | boolean | `false` | Whether the model accepts image inputs. |
| `reasoning` | boolean | `false` | Whether the model has reasoning behavior. |
| `reasoning_effort` | `"levels"` \| `"none"` | `"none"` | Whether the model endpoint supports a native reasoning-effort parameter. |
| `prompt_cache` | boolean | `false` | Whether prompt cache pricing/usage applies. |
## `[llm.models.<id>.controls]`
| Key | Type / values | Default | Description |
|---|---|---|---|
| `reasoning_effort` | array<string> | all standard levels when feature is `"levels"` | User-facing reasoning effort values Fabro may send for this model. Can be set explicitly for reasoning models whose provider adapter maps effort to a non-native API shape. |
| `speed` | array<string> | `[]` | Additional speeds beyond implicit `standard`; do not list `standard`. |
## `[llm.models.<id>.costs]`
| Key | Type / values | Default | Description |
|---|---|---|---|
| `input_cost_per_mtok` | number | None | Input cost in USD per million tokens. |
| `output_cost_per_mtok` | number | None | Output cost in USD per million tokens. |
| `cache_input_cost_per_mtok` | number | None | Cached input/read cost in USD per million tokens. |
## `[llm.models.<id>.costs.speed.<speed>]`
Per-speed cost overrides use the same keys as `[llm.models.<id>.costs]`.
Each `<speed>` key must be declared in `[llm.models.<id>.controls].speed`.
The `standard` speed is implicit and always uses the base cost table.
## `[cli.updates]`
`[cli.updates]` — upgrade check toggle
```toml title="settings.toml"
[cli.updates]
check = true
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `check` | boolean | true | Check for new Fabro releases during supported CLI commands. |
## `[cli.output]`
`[cli.output]` — generic CLI output defaults
```toml title="settings.toml"
[cli.output]
format = "text"
verbosity = "verbose"
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `format` | "text" \| "json" | "text" | Output format for commands that support machine-readable output. |
| `verbosity` | "quiet" \| "normal" \| "verbose" | "normal" | Default output verbosity. |
## `[cli.exec]`
`[cli.exec]` — `fabro exec` defaults
```toml title="settings.toml"
[cli.exec]
prevent_idle_sleep = true
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `prevent_idle_sleep` | boolean | false | Prevent idle sleep on macOS while an exec run is in flight. |
## `[cli.exec.model]`
```toml title="settings.toml"
[cli.exec.model]
provider = "anthropic"
name = "claude-opus-4-6"
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `name` | string | None | Model name for `fabro exec`. |
| `provider` | string | None | LLM provider for `fabro exec`. |
## `[cli.exec.agent]`
```toml title="settings.toml"
[cli.exec.agent]
permissions = "read-write"
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `mcps` | table | None | Agent-scoped MCP entries for `fabro exec`. |
| `permissions` | "read-only" \| "read-write" \| "full" | "read-write" | Tool permission level for `fabro exec`. |
## `[run.model]`
`[run.model]` — provider-neutral default model selection
```toml title="settings.toml"
[run.model]
provider = "anthropic"
name = "claude-sonnet-4-5"
fallbacks = ["openai", "gpt-5.4"]
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `fallbacks` | array<string> | [] | Ordered list of fallback model references. Supports `...` splice marker<br />at layering time — see [`super::splice_array`]. |
| `name` | string | None | Model name for workflow runs. |
| `provider` | string | None | Provider name for workflow model selection. |
## `[cli.logging]`
`[cli.logging]` — process-owned logging configuration for the CLI
```toml title="settings.toml"
[cli.logging]
level = "info"
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `level` | "error" \| "warn" \| "info" \| "debug" \| "trace" | "info" | Default CLI log level. |
## `[run.git.author]`
```toml title="settings.toml"
[run.git.author]
name = "fabro-bot"
email = "fabro-bot@company.com"
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `email` | string | "fabro@local" | Git author email for checkpoint commits. |
| `name` | string | "fabro" | Git author name for checkpoint commits. |
## `[run.pull_request]`
`[run.pull_request]` — provider-neutral PR behavior
```toml title="settings.toml"
[run.pull_request]
enabled = true
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `auto_merge` | boolean | false | Enable GitHub auto-merge for created pull requests. Implies `draft =<br />false`. |
| `draft` | boolean | true | Open created pull requests as drafts. |
| `enabled` | boolean | false | Automatically create a PR after successful runs. |
| `merge_strategy` | "merge" \| "squash" \| "rebase" | "squash" | Merge method to configure for the pull request. |
## `[run.agent]`
`[run.agent]` — agent knobs only (Fabro tools, permissions, MCPs)
```toml title="settings.toml"
[run.agent]
fabro_tools = true
permissions = "read-write"
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `fabro_tools` | boolean | false | Allow workflow agents to use Fabro run-management tools. |
| `mcps` | table | None | Agent-scoped MCP server entries, keyed by name. |
| `permissions` | "read-only" \| "read-write" \| "full" | "read-write" | Default tool permission level for workflow agents. |
## `[run.agent.mcps.<name>]`
Configure MCP servers for workflow agents. For `fabro exec`-only MCPs, use `[cli.exec.agent.mcps.<name>]` with the same shape.
```toml title="settings.toml"
[run.agent.mcps.filesystem]
type = "stdio"
command = ["npx", "-y", "@modelcontextprotocol/server-filesystem", "/workspace"]
startup_timeout = "15s"
tool_timeout = "90s"
```
| Key | Type / values | Default | Description |
|---|---|---|---|
| `type` | `"stdio"` \| `"http"` \| `"sandbox"` | None | MCP transport type. |
| `command` | array<string> | None | Command and arguments for `stdio` or `sandbox` transports. |
| `script` | string | None | Shell script alternative to `command` for process-launching transports. |
| `url` | string | None | Remote MCP URL for `http` transport. |
| `port` | integer | None | Sandbox port for `sandbox` transport. |
| `env` | table | `{}` | Additional environment variables for process-launching transports. |
| `headers` | table | `{}` | HTTP headers for `http` transport. |
| `startup_timeout` | duration | `"10s"` | Max duration for startup and MCP handshake. |
| `tool_timeout` | duration | `"60s"` | Max duration for a single MCP tool call. |
See [MCP](/agents/mcp) for transport-specific examples.
{/* /generated:options */}
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