# Automation Profiles

Automation Profiles control how much autonomy the CleverAgents system has at each phase of plan execution. Each profile defines a set of **threshold values** and **safety requirements** that determine when the system may proceed automatically versus when it must wait for human approval.

## Threshold Semantics

Each threshold field is a float in the range `[0.0, 1.0]`:

| Value | Meaning |
|-------|---------|
| `0.0` | Fully automatic — no human gate required |
| `1.0` | Always requires human approval |
| `0.0 < v < 1.0` | Probabilistic — the system may proceed if its confidence exceeds the threshold |

### Threshold Fields

| Field | Category | Description |
|-------|----------|-------------|
| `auto_strategize` | Phase transition | Gate before entering the strategy phase |
| `auto_execute` | Phase transition | Gate before entering the execution phase |
| `auto_apply` | Phase transition | Gate before applying changes |
| `auto_decisions_strategize` | Decision autonomy | Gate for decisions during strategy |
| `auto_decisions_execute` | Decision autonomy | Gate for decisions during execution |
| `auto_validation_fix` | Self-repair | Gate for automatic validation fixes |
| `auto_strategy_revision` | Self-repair | Gate for automatic strategy revision |
| `auto_reversion_from_apply` | Self-repair | Gate for reverting from the apply phase |
| `auto_child_plans` | Child plans | Gate for spawning child plans |
| `auto_retry_transient` | Retry | Gate for retrying transient failures |
| `auto_checkpoint_restore` | Checkpoint | Gate for automatic checkpoint restoration |

### Safety Profile (Composed Sub-Model)

Each automation profile composes a `SafetyProfile` via its `safety` field. The safety profile is the single source of truth for all hard safety constraints. See [ADR-041](../adr/ADR-041-safety-profile-extraction.md) for the architectural rationale.

A `SafetyProfile` may also be attached directly to an `Action` (via `safety_profile`) when only safety constraints are needed without full autonomy thresholds.

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `safety.require_sandbox` | bool | `true` | Execution must happen in a sandbox |
| `safety.require_checkpoints` | bool | `true` | Checkpoints must be created before writes |
| `safety.allow_unsafe_tools` | bool | `false` | Tools flagged as `unsafe` may be invoked |
| `safety.require_human_approval` | bool | `false` | Human approval required before each action step |
| `safety.allowed_skill_categories` | list[str] | `[]` | Skill categories permitted (empty = all allowed) |
| `safety.max_cost_per_plan` | float \| null | `null` | Maximum cost in USD per plan (null = no limit) |
| `safety.max_total_cost` | float \| null | `null` | Maximum total cost in USD across all plans (null = no limit) |
| `safety.max_retries_per_step` | int | `3` | Maximum retry attempts per action step (0–100) |

**Relationship to Automation Guards**: `safety.max_total_cost` is a plan-level budget cap, while `guards.max_total_cost` is a per-invocation budget cap. Both may be active; the tighter constraint wins.

## Built-in Profiles

Eight profiles ship with every CleverAgents installation:

| Flag | manual | review | supervised | cautious | trusted | auto | ci | full-auto |
|------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
| auto_strategize | 1.0 | 0.0 | 0.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 |
| auto_execute | 1.0 | 0.0 | 1.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 |
| auto_apply | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 |
| auto_decisions_strategize | 1.0 | 1.0 | 0.0 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 |
| auto_decisions_execute | 1.0 | 1.0 | 1.0 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 |
| auto_validation_fix | 1.0 | 1.0 | 1.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 |
| auto_strategy_revision | 1.0 | 1.0 | 1.0 | 0.8 | 1.0 | 0.0 | 0.0 | 0.0 |
| auto_reversion_from_apply | 1.0 | 1.0 | 1.0 | 0.9 | 1.0 | 1.0 | 0.0 | 0.0 |
| auto_child_plans | 1.0 | 0.0 | 1.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 |
| auto_retry_transient | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| auto_checkpoint_restore | 1.0 | 1.0 | 1.0 | 0.6 | 1.0 | 0.0 | 0.0 | 0.0 |
| **Safety Profile** | | | | | | | | |
| safety.require_sandbox | true | true | true | true | true | true | true | false |
| safety.require_checkpoints | true | true | true | true | true | true | true | false |
| safety.allow_unsafe_tools | false | false | false | false | false | false | false | true |
| safety.require_human_approval | false | false | false | false | false | false | false | false |
| safety.allowed_skill_categories | [] | [] | [] | [] | [] | [] | [] | [] |
| safety.max_cost_per_plan | null | null | null | null | null | null | null | null |
| safety.max_total_cost | null | null | null | null | null | null | null | null |
| safety.max_retries_per_step | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |

### Profile Descriptions

- **manual** — Human approves every action. Maximum safety, minimum autonomy.
- **review** — Strategy and execution proceed automatically; human reviews before apply. Good default for development.
- **supervised** — Human reviews strategy and execution decisions. Strategy creation itself is automatic.
- **cautious** — Probabilistic gates on most actions. The system proceeds when confident, asks when unsure.
- **trusted** — Automatic for most phases, but human approval required for apply and reversion. Suitable for experienced teams.
- **auto** — Fully automatic except reversion from apply. Suitable for well-tested pipelines.
- **ci** — Designed for CI/CD pipelines. All thresholds at 0.0 but sandbox and checkpoints remain required.
- **full-auto** — No gates, no sandbox, no checkpoints, unsafe tools allowed. Use with extreme caution.

## Resolution Precedence

When determining which profile applies to a given plan execution, the system resolves profiles in the following order (highest priority first):

1. **Plan-level override** — A profile specified directly on the plan.
2. **Project-level setting** — The default profile configured for the project.
3. **Organization-level default** — The organization's default profile.
4. **System default** — Falls back to the `review` built-in profile.

At each level, the profile may be specified by:
- A built-in name (e.g. `cautious`)
- A namespaced custom profile (e.g. `acme/strict`)

## Custom Profiles

Custom profiles use a `namespace/name` naming convention:

```yaml
name: acme/strict
description: Strict profile for production deployments
schema_version: "1.0"

auto_strategize: 0.9
auto_execute: 0.9
auto_apply: 1.0
auto_decisions_strategize: 0.8
auto_decisions_execute: 0.9
auto_validation_fix: 0.5
auto_strategy_revision: 0.9
auto_reversion_from_apply: 1.0
auto_child_plans: 0.8
auto_retry_transient: 0.3
auto_checkpoint_restore: 0.7

# Safety profile (composed sub-model)
safety:
  require_sandbox: true
  require_checkpoints: true
  allow_unsafe_tools: false
  allowed_skill_categories: []
  max_cost_per_plan: 50.0
  max_total_cost: 200.0
  max_retries_per_step: 3
```

See `docs/schema/automation_profile.schema.yaml` for the full YAML schema and `examples/profiles/` for example configurations.

## Automation Guards

Guards are optional enforcement hooks attached to a profile that gate tool invocations at runtime. They operate independently of the phase-transition thresholds and provide fine-grained control over tool usage.

### Guard Fields

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `max_tool_calls_per_step` | `int \| None` | `None` | Maximum tool invocations per step before requiring approval |
| `max_total_cost` | `float \| None` | `None` | Budget cap before requiring approval |
| `tool_allowlist` | `list[str] \| None` | `None` | Only these tools can be called automatically |
| `tool_denylist` | `list[str] \| None` | `None` | These tools always require approval |
| `require_approval_for_writes` | `bool` | `false` | Require human approval for write operations |
| `require_approval_for_apply` | `bool` | `false` | Require human approval before apply phase |

### Guard Evaluation Order

When `check_guard()` is called, guards are evaluated in this order:

1. **Denylist** — If the tool is on the denylist, it is blocked immediately.
2. **Allowlist** — If an allowlist is set and the tool is not on it, it is blocked.
3. **Max tool calls** — If the call count has reached the limit, approval is required.
4. **Cost budget** — If the cumulative cost has reached the cap, approval is required.
5. **Write approval** — If the operation is a write and write approval is required.
6. **Apply approval** — If the tool name is `__apply__` and apply approval is required.

If no guard blocks the invocation, it is allowed.

### GuardResult

The result of a guard evaluation is a `GuardResult` with three fields:

- `allowed` (`bool`) — Whether the tool invocation may proceed.
- `reason` (`str | None`) — Human-readable explanation when blocked.
- `requires_approval` (`bool`) — Whether human approval can unblock the invocation.

### Example YAML with Guards

```yaml
name: acme/guarded
description: Profile with guard constraints
schema_version: "1.0"
auto_strategize: 0.7
auto_execute: 0.7
auto_apply: 1.0

# Safety profile (plan-level constraints)
safety:
  require_sandbox: true
  require_checkpoints: true
  allow_unsafe_tools: false

# Guards (per-invocation constraints)
guards:
  max_tool_calls_per_step: 10
  max_total_cost: 5.0
  tool_denylist:
    - shell_exec
    - file_delete
  require_approval_for_writes: true
  require_approval_for_apply: true
```

## CLI Commands

The `agents automation-profile` command group manages automation profiles
from the terminal.

### `automation-profile add`

Register a custom profile from a YAML configuration file:

```bash
agents automation-profile add --config ./profiles/strict.yaml
agents automation-profile add --config ./profiles/strict.yaml --update
agents automation-profile add --config ./profiles/strict.yaml --format json
```

Options:
- `--config / -c` — Path to the YAML configuration file (required).
- `--update` — Overwrite an existing custom profile instead of raising a conflict error.
- `--format / -f` — Output format: `json`, `yaml`, `plain`, `table`, or `rich` (default: `rich`).

### `automation-profile remove`

Remove a custom profile by name (built-in profiles cannot be removed):

```bash
agents automation-profile remove acme/strict --yes
agents automation-profile remove acme/strict --yes --format json
```

Options:
- `--yes / -y` — Skip the interactive confirmation prompt.
- `--format / -f` — Output format.

### `automation-profile list`

List all profiles with optional filtering:

```bash
agents automation-profile list
agents automation-profile list --namespace acme
agents automation-profile list "caut.*"
agents automation-profile list --format json
```

Options:
- *regex* (positional) — Optional regex pattern to filter profile names.
- `--namespace / -n` — Filter by the namespace portion of namespaced names.
- `--format / -f` — Output format.

### `automation-profile show`

Display full details for a single profile:

```bash
agents automation-profile show manual
agents automation-profile show acme/strict --format yaml
```

Options:
- `--format / -f` — Output format.

## Deprecation: `--automation-level`

The `--automation-level` option on `plan use` and the `plan set-automation-level`
command are **deprecated** and will be removed in a future release.

Legacy automation levels are mapped to built-in profiles:

| Legacy level | Built-in profile |
|-------------|-----------------|
| `manual` | `manual` |
| `supervised` | `supervised` |
| `auto` | `auto` |
| `full_auto` | `full-auto` |

Use `--automation-profile <name>` instead of `--automation-level`.

## Autonomy Guardrails

Autonomy guardrails extend the automation guard framework with runtime
constraints that enforce step limits, tool budgets, and required human
confirmations during plan execution. Unlike the phase-transition thresholds
which gate entire phases, autonomy guardrails operate at the individual
step and tool invocation level.

### Guardrail Fields

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `max_steps` | `int \| None` | `None` | Maximum execution steps allowed. `None` means unlimited. |
| `tool_budget` | `float \| None` | `None` | Maximum cumulative cost for tool invocations. `None` means unlimited. A value of `0.0` blocks any positive cost. |
| `max_wall_clock_seconds` | `float \| None` | `None` | Maximum wall-clock time in seconds for plan execution. `None` means unlimited. |
| `actor_limits` | `ActorLimits` | `ActorLimits()` | Per-actor runtime limits (see below). |
| `required_confirmations` | `list[str]` | `[]` | Operation names requiring human confirmation before execution (case-insensitive). |
| `step_count` | `int` | `0` | Current execution step counter (managed by the service). |
| `budget_spent` | `float` | `0.0` | Current cumulative budget spent (managed by the service). |
| `start_time` | `str \| None` | `None` | ISO-8601 timestamp of when plan execution started (for wall-clock tracking). |

### Actor Limits

Per-actor constraints that limit tool calls within a single actor invocation:

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `max_tool_calls_per_invocation` | `int \| None` | `None` | Maximum tool calls allowed per actor invocation. `None` means unlimited. |
| `max_retries_per_failure` | `int \| None` | `None` | Maximum retries per tool failure within an actor step. `None` means unlimited. |

### Enforcement Behavior

Guardrails are enforced at multiple points during plan execution:

- **Pre-flight** — Before execution begins, `PlanExecutor._guard_execute()` calls `_enforce_guardrails()` which checks wall-clock time and the current step limit. If either check fails, execution is blocked with a `PlanError` before any decisions are processed.
- **Per-decision** — Before each decision in the execution loop, `_enforce_guardrails_per_step()` increments the step counter, checks the step limit, and rechecks wall-clock time. If any check fails, execution halts with a `PlanError`.
- **Start-time tracking** — On the first execution, `_enforce_guardrails()` automatically calls `mark_started()` on the guardrails model to record the wall-clock start time (if not already set).

The individual guardrail checks are:

1. **Step limit** — The `step_count` is compared against `max_steps`. If equal or exceeded, the step is **blocked** and an audit entry is recorded.
2. **Tool budget** — The projected cost (`budget_spent + tool_cost`) is compared against `tool_budget`. If exceeded, the invocation is **blocked** and an audit entry is recorded. When allowed, the cost is recorded **before** the audit entry so the trail reflects the post-deduction budget state.
3. **Wall-clock time** — If `max_wall_clock_seconds` is set and `start_time` is recorded, the elapsed wall-clock time is checked. If the limit is exceeded, the step is **blocked**. Malformed `start_time` values are treated as a block (defense-in-depth) rather than raising an unhandled exception.
4. **Actor tool-call limit** — The actor's current tool call count is compared against `actor_limits.max_tool_calls_per_invocation`. If exceeded, the call is **blocked**.
5. **Retry-per-failure limit** — The current retry count is compared against `actor_limits.max_retries_per_failure`. If equal or exceeded, the retry is **blocked** and an audit entry is recorded. When `max_retries_per_failure` is `None`, retries are unlimited.
6. **Required confirmations** — The operation name is checked (case-insensitively) against `required_confirmations`. If matched, the operation is **blocked** pending human confirmation.

If no guardrail blocks the invocation, it proceeds and the step counter and budget are updated.

### Input Validation

- `start_time` is validated on assignment to ensure it is a parseable ISO-8601 timestamp. Malformed strings are rejected with a `ValidationError`.
- `max_retries_per_failure` must be non-negative (`>= 0`) if set; `None` means unlimited.
- `max_steps` must be positive (`>= 1`) if set.
- `tool_budget` must be non-negative (`>= 0.0`) if set.

### Audit Trail

Every guardrail enforcement event is recorded in a `GuardrailAuditTrail` which is persisted to plan metadata. The audit trail provides a bounded, ordered record of autonomy-related decisions. When the number of entries exceeds `max_entries` (default: 10,000), the oldest entries are evicted to prevent unbounded memory growth.

#### Audit Entry Fields

| Field | Type | Description |
|-------|------|-------------|
| `timestamp` | `str` | ISO-8601 timestamp of the enforcement event. |
| `event_type` | `GuardrailEventType` | Type of guardrail event (see below). |
| `guard_name` | `str` | Name of the guard that was evaluated. |
| `result` | `GuardrailResult` | Outcome: `allowed` or `denied`. |
| `reason` | `str \| None` | Human-readable reason for the decision. |
| `context` | `dict` | Additional metadata about the enforcement event. |

#### Event Types

| Event Type | Description |
|------------|-------------|
| `step_blocked` | A step was blocked due to the step limit. |
| `budget_blocked` | A tool invocation was blocked due to budget. |
| `confirmation_required` | An operation was blocked pending confirmation. |
| `step_allowed` | A step was allowed within the limit. |
| `budget_allowed` | A tool invocation was allowed within budget. |
| `confirmation_granted` | An operation was allowed (no confirmation needed). |
| `time_blocked` | A step was blocked due to the wall-clock time limit. |
| `time_allowed` | A step was allowed within the wall-clock time limit. |
| `actor_limit_blocked` | An actor tool call was blocked due to per-invocation limits. |
| `actor_limit_allowed` | An actor tool call was allowed within per-invocation limits. |
| `retry_blocked` | A retry was blocked due to the per-failure retry limit. |
| `retry_allowed` | A retry was allowed within the per-failure retry limit. |

### Plan Metadata Persistence

The guardrail state and audit trail are serialized to plan metadata using two keys:

- `autonomy_guardrails` — The current guardrail configuration and counters.
- `guardrail_audit_trail` — The ordered list of audit entries.

This allows guardrail state to survive across plan restarts and provides
a complete audit record for post-mortem analysis.

### Example Configuration

```yaml
name: acme/guarded-auto
description: Auto profile with autonomy guardrails
schema_version: "1.0"
auto_strategize: 0.0
auto_execute: 0.0
auto_apply: 1.0

guards:
  max_tool_calls_per_step: 10
  max_total_cost: 100.0

# Autonomy guardrails (configured via service or CLI)
# max_steps: 50
# tool_budget: 200.0
# required_confirmations:
#   - deploy
#   - delete
```
