DeepSeek-TUI/docs/FLEET.md

Agent fleet

Baca terjemahan bahasa Indonesia: id/FLEET.md

Agent fleet is the local-first roster and member-selection layer for durable multi-worker runs. It does not execute or authorize work. After fleet resolves who should participate, the delegated coordinator launches a headless codewhale exec run and the Runtime tracks it durably. See AGENT_RUNTIME.md for how sub-agents, exec, and fleet-backed workers converge on one runtime. In product language, a user may still "open a sub-agent"; in architecture language, durable nested work uses a fleet member identity with delegated runtime execution.

Naming and compatibility boundary

Fleet is the public product noun. The durable ledger, saved rosters, config tables, and --fleet flag share that name:

Surface	Canonical	Compatibility alias
CLI	codewhale fleet …	codewhale pod …
Slash command	/fleet …	/pod …

/pod and codewhale pod remain accepted as compatibility aliases.

These shared names are load-bearing wherever changing them would break existing workspaces, receipts, or scripts:

• the durable ledger .codewhale/fleet.jsonl and the log directories .codewhale/fleet/ and .codewhale/fleet-host/;
• saved rosters fleets/<name>.toml and their schema = "fleet" header;
• the [fleet] and [fleets.*] config tables;
• the codewhale workflow run --fleet <name> flag;
• wire, receipt, and control-plane operation ids such as fleet.status.

The rest of this document uses fleet as the public product noun and retains these literal paths, keys, flags, and ids.

Use a fleet roster rather than anonymous short-lived agent fanout whenever a delegated run needs stable member identities across retries, sleep/restart, remote execution, receipts, or a ledgered audit trail. The initial CLI surface is:

For a guided start-to-monitor walkthrough that combines fleet task specs with Workflow authoring, see fleet + Workflow Tutorial.

codewhale fleet init
codewhale fleet run tasks.json --max-workers 4
codewhale fleet status
codewhale fleet inspect <worker-id>
codewhale fleet logs <worker-id>
codewhale fleet artifacts <worker-id>
codewhale fleet interrupt <worker-id>
codewhale fleet restart <worker-id>
codewhale fleet resume <run-id>
codewhale fleet stop --all

codewhale fleet resume <run-id> is the restart-recovery verb: it replays the ledger, reconciles any in-flight lease whose worker stopped heartbeating (retrying within the task's budget, else failing and escalating per the alert policy), and prints the post-resume status. It launches no new work and is idempotent, so it is safe to run after a manager exit, laptop sleep, or runtime restart.

Coordinator state for fleet-backed runs is stored under the workspace in .codewhale/fleet.jsonl. Worker logs and adapter logs are stored under .codewhale/fleet/ and .codewhale/fleet-host/.

Public contract: identity, membership, and selection

Fleet = the user's model inventory: who is in the roster and which member is selected.

A public fleet identity consists only of:

• a stable member id and an optional user-facing name;
• a semantic role, such as explore, implement, or reviewer (the legacy spellings worker, scout, builder, verifier, consultant, and oracle are still accepted on input and map to general, explore, implement, test, and advisor);
• an exact provider/model identity, or an explicit inherited route;
• visible roster state or origin.

Project or workspace trust, filesystem and network reach, secret access, approval mode, sandboxing, tool authorization, and every other form of runtime authority are separate delegated-coordination and Runtime policy inputs. They are never fleet identity fields, and they never select or reroute a fleet member. The Runtime applies and clamps those policies only after member selection; if the selected member cannot run inside the effective envelope, launch fails closed instead of choosing somebody else.

Natural-language member selection is deterministic. A caller may name:

• an exact member id, optionally as member:<id> or id:<id>;
• a unique user-facing member name, optionally as name:<name>;
• a unique semantic role, for example explore or role:explore;
• an exact pinned model id, for example deepseek-v4-flash, or its offline display name, for example DeepSeek V4 Flash; or
• an exact route:<provider>/<model>.

An unqualified exact member id wins. Every other match succeeds only when it identifies one distinct roster member. Multiple matches produce an ambiguity error that names the candidates and asks for member:<id>; Codewhale never picks whichever match happened to be listed first. Users do not need to know an internal role label such as explore: a unique member name, display model, or exact model id is equally valid. Saved v2 fleets store that optional human name as display_name (the input alias name is also accepted); it must be one trimmed printable line of at most 80 characters.

Your fleet as models

The same fleet file answers a third question: which models has this person put in their fleet? Every exact provider + model pin in the selected fleet — the operator route and each pinned member — is a fleet model, and the member rows that pin it are the roles it fills. There is no second list.

• /fleet models prints the fleet: provider/model · roles · price · context · tools, facts read from the model catalog. With no selected fleet the line reads "Your fleet is the session model only".
• /fleet add <provider> <model> [role…] adds a model (one member row per role; none for a role-less add). The provider must be one you configured and, when the catalog knows the provider, must serve that exact id. With no fleet selected, a user-global fleet named My fleet is created and selected first. /fleet remove <provider> <model> drops every row that pins the route; the operator route is changed with /fleet save, not removed.
• In /model, ⇧F on a row adds or removes that exact route the same way; fleet models are listed first, labelled fleet · <roles>, ahead of your own ⇧P pins and the provider lists. /models prints the fleet before the provider's list.

The operator model reads this list when it assigns sub-agents (design MODEL-ROUTING-CATALOG-20260901.md §10, slice F2).

Interactive and persistent status

/fleet status and codewhale fleet status are the same command on two surfaces. Both read the durable .codewhale/fleet.jsonl ledger for the workspace, through one shared control-plane contract, and both report the same verb id (fleet.status), read-vs-write authority, persistence scope, and receipt. When the workspace has no ledger they say so with a typed reason (no_fleet_ledger) instead of rendering an empty-looking "all clear" — and neither creates the ledger as a side effect of reading it.

The current interactive session's sub-agents are a different set, and now have their own name:

• /fleet workers (or /subagents, or n) shows sub-agents attached to the current TUI session. It does not read the persistent ledger.
• /fleet list|status|interrupt|resume and codewhale fleet list|status|interrupt|resume act on the durable ledger.
• codewhale fleet restart <worker-id> is CLI-only: it re-leases the task and then drives the manager loop to completion. /fleet restart does not silently do a smaller thing — it reports surface_not_supported and names the CLI command.

Before v0.9.2, /fleet status showed session sub-agents. That reading is gone; /fleet workers replaces it.

The contract behind this — descriptors, availability reasons, exact-identity targets, receipts, typed unknowns, and bounds — is documented in docs/COMMAND_CONTROL_PLANE.md.

Authoring agent profiles (/fleet setup)

/fleet setup (also /fleet setup edit / new) opens an in-TUI wizard for authoring a reusable agent-team profile. Bare /fleet and the roster/roles/profiles/party aliases open the selected fleet's member roster. /fleet saved opens the named saved-fleet picker. /fleet workers opens the current-session worker view; /subagents is a compatibility shortcut for that view. For durable run history, use /fleet status or the shell command codewhale fleet status described above — they are the same command.

The wizard is progressive: you make one focused choice at a time — a role, then a model (inherit, or a concrete model from any configured provider, not only the one the parent session is currently using), then where the profile lives, and finally a review of the member identity and route. When the review also previews thinking, tools, approvals, or another execution control, those rows summarize separate Runtime policy; they do not become fleet identity or member selectors. The header shows "Saves to: …" on every step — the choice you still have to make, or the exact resolved file once you have made it. Nothing is written until you activate the save control on the review step.

The Destination step is a focused two-option list (arrows move, Enter or Space chooses; Tab never changes the destination):

• This project writes <workspace>/.codewhale/agents/<role>.toml. It applies to this project only and takes precedence over a Personal profile with the same id. When project profiles are disabled for the session (--no-project-config) or the workspace folder is unavailable, the option is shown disabled with that reason; the wizard never falls back to Personal on its own.
• Personal writes $CODEWHALE_HOME/agents/<role>.toml and is available in every project on this machine, except where a project has its own profile with the same id.

For the highlighted option the step shows the exact file, whether saving would create a new file or replace an existing one, and the precedence consequence for the roster. The review step repeats those facts under "Saves to" and names the final action by its effect — Save to this project, Save as Personal profile, or Replace …. Replacing an existing file needs a second Enter on the save control. Tab / Shift+Tab (or ←/→) move focus between the save control, Change destination, and Back; s is a secondary shortcut back to the Destination step. Reopening a saved member from /fleet starts from what is on disk: its member identity, route, and save scope. Thinking (inherit, off, low, medium, high, max, or auto) is adjusted on the review step with t, but remains a route execution setting rather than part of the member's fleet identity.

Profile scope controls where a role definition is reusable; it does not widen the authority of a running operation and is not a project-trust setting. To coordinate several nearby repositories, start Codewhale from their shared parent directory so that parent is the workspace. Project/workspace trust, external paths, filesystem and network reach, secrets, approvals, sandboxing, and tool authorization come from delegated-coordination and Runtime policy. For nested delegation, Runtime intersects the requested child posture with the live parent. For standalone codewhale fleet execution, Runtime instead uses the bounded tool-authority envelope minted from the task's explicit write scope together with live config, sandbox, and platform enforcement. Neither path reads authority from the profile's storage scope or identity selector.

Picking a concrete model pins its provider explicitly: the saved profile records both model and provider fields, so the route it names doesn't depend on whichever provider happens to be active when the profile is later loaded. Pressing Enter ("start") on the review step previews the exact starter profile TOML inline on that same screen; nothing is written until you save it. The provider field may be a built-in provider id such as openrouter or a user-named OpenAI-compatible provider configured under [providers.<name>] such as lm-studio; the launch path preserves that id and fails closed if the provider is not configured.

Profiles are also how the model-facing agent tool selects a route since the v0.9.9 schema slim (#5324, #5123): the advertised surface no longer carries model or thinking — a child either runs as a profile (whose saved route and thinking tier it uses exactly) or inherits the operator's model. Removed fields stay parse-accepted for saved transcripts, ACP/MCP clients and fleet configs; see docs/SUBAGENTS.md for the advertised 12-field list and the compat list.

When a provider is configured, the review step also offers model-assisted drafting behind an explicit preview-before-save gate:

• Press m to have your first configured model draft the profile. The draft arrives sanitized and bounded. Separately, the Runtime keeps its conservative execution floor (no shell or trust escalation and approval required) regardless of what the model proposes.
• Drafting is not saving. The exact rendered TOML preview renders inline on the review step (not in a separate scrollable viewer), so nothing is saved until you press g or Enter to save (or press m again to redraft). Saving writes the profile to the project or personal scope shown in the preview.

Naming: Modes, Workflow, and fleet

These names describe different layers, not competing systems. Plan and Act are the everyday work modes. Operate accepts ordinary messages and keeps the parent's normal tool surface under the same approval, sandbox, shell, ask-rule, and repository protections as Act. It prefers background fleet workers for independent, parallel, isolated, or long-running work, but does not require a worker for every executable step. Workflow is an optional orchestration overlay for work that needs ordering, gates, shared budgets, replay, or deterministic fan-in.

The short public vocabulary is:

• Fleet is the durable roster and deterministic member-selection surface. It records member ids and names, semantic roles, provider/model identities, and roster state. Fleet is also the name used by storage and wire formats.

• Workflow = what order the work follows: phases, gates, budgets, replay, and fan-in.

• Lane = one running Workflow instance and its live progress.

• Runtime = where, how, and with what authority selected work executes. Runtime owns the local or remote process, provider route, project/workspace trust, filesystem, network, secrets, approvals, sandbox, tools, and API boundary.

• Workflow is the repeatable plan and user-facing orchestration overlay: a script/IR that decides which phases and agents run next, keeps intermediate results out of the main conversation, and can be inspected or rerun. A Workflow run should have a visible progress view and a clear active header state instead of feeling like a hidden background task.

• Fleet is the durable roster and deterministic member-selection surface: member ids and names, semantic roles, pinned or inherited provider/model identities, and roster state. The delegated coordinator and Runtime own launch concurrency, leases, heartbeats, logs, receipts, tools, sandboxing, approvals, and authority.

• High fan-out is a behavior of a Workflow run, not a separate system: when a phase needs many workers at once, Workflow dispatches them as a fleet-backed run (durable workers, receipts, goal re-dispatch) rather than reviving prompt-only sub-agent fanout.

• Fan-in is explicit: when the user needs one combined result, an owner aggregates, verifies, and synthesizes the worker receipts. Independent tasks may finish separately; dispatch is never presented as completion.

UI guidance: keep the main transcript calm. A Workflow run should appear as a compact progress card plus work-bar rows (the strip above the transcript, or a side rail) with phase names, worker counts, receipts, and nested indentation for child workers. Use the whale mark sparingly as an active header/status signal; avoid repeating emoji-heavy rows for every worker.

Saved fleets and the Reasoning Router

A selected v2 fleet freezes each selected member's id, semantic role, provider, and model identity into the durable run before a Workflow starts. Save the fleet as fleets/<name>.toml in the workspace or under $CODEWHALE_HOME. Models cannot replace those identity or route assignments at runtime:

schema = "fleet"
schema_revision = 2
name = "release"

[operator]
provider = "deepseek"
model = "deepseek-v4-pro"

[[members]]
id = "implementer"
display_name = "Release Builder"
role = "implement"
provider = "zai"
model = "glm-5.2"

[[members]]
id = "advice"
role = "advisor"
provider = "openai"
model = "gpt-5.6"

The workflow crate's older schema = "exact", revision 1 files are migration input only. Do not author them for v0.9.11; the selected roster and setup UI read and write only schema = "fleet", revision 2.

Reasoning is a separate route-execution decision, not fleet identity. The optional Reasoning Router is a reusable Runtime service, not a fleet member. Save one profile at routers/<name>.toml in either search root and reference it from any number of fleets:

name = "luna-low"
schema = "reasoning_router"
schema_revision = 1
provider = "openai"
model = "gpt-5.6-luna"
call_reasoning = "low"

At runtime it may choose only the reasoning tier for an already-frozen worker route. It cannot change the member, provider, model, or semantic role. The Router call itself is capped at off or low; more expensive values are rejected. A manually selected worker reasoning tier makes no Router call. Route and reasoning receipts name the worker model and, when used, the Router's exact provider/model so the operator can see which model did which job. If the same bare Router or fleet name exists in both roots, qualify it as workspace/<name> or codewhale_home/<name> instead of relying on shadowing.

Compatibility schemas may serialize reasoning, permissions, tool hints, or other execution settings beside a member. Those values are not fleet identity, member selectors, or active authority. A valid legacy schema = "exact" roster snapshot retains its old permissions bytes only while verifying and replaying that snapshot's recorded content hash; a fresh capture emits the authority-free member shape. New-run validation rejects legacy roster security_policy and worker trust_level fields; configure execution authority through Runtime policy. The delegated coordinator resolves and durably freezes the member first. Runtime then applies either the delegating parent's effective ceiling or, for standalone fleet CLI work, Runtime execution configuration plus live sandbox/platform enforcement. That boundary may reduce or refuse the selected worker's execution surface, but it must never choose a different member or route. See docs/MODES.md, docs/SUBAGENTS.md, and docs/AGENT_RUNTIME.md for the enforcement contract.

Reasoning receipts record the requested tier and the tier the provider was actually asked for. Those differ whenever a route cannot express the requested one — Codewhale's route normalizer sends high for a requested low on most routes, and Z.AI's GLM routes express only thinking on/off — so the receipt reports the real request rather than the label that was selected. The value a call actually carries is spelled by that route's own normalizer, not by the tier label: an OpenAI Codex route is asked for xhigh, not max, and cannot be asked for off at all.

A v0.9.11 durable fleet CLI receipt keeps the selected profile id in effective_permissions.profile_id, the resolved semantic role in resolved_route.role, and the effective Runtime surface in the permission, shell, and tool-scope fields. An exact Workflow launch receipt records member_role separately from an optional Runtime posture_role, plus the fingerprint of the effective authority envelope checked at the spawn boundary. A member named auditor can therefore retain that identity while Runtime reports a custom posture and independently proves the narrower surface it enforced.

A Workflow start fails closed on anything decidable locally: an unresolvable provider or model, a missing credential, a client that cannot be built for a member's route, or an auto member with no usable Reasoning Router. Per-task validation that the spawn boundary would refuse anyway — notably a write-capable member with no declared write_roots/exact_files/coordination_contracts — is checked before the Router is called, so an invalid task never spends a routing request. If a spawn fails after a Router decision, the receipt is still recorded: the tokens were spent, and any cross-provider disclosure already happened.

Manager-owned Workflow fan-in

When parallel work must return one combined answer, use a manager-owned Workflow instead of a flat agent fan-out:

1. Cast one manager (operator or workflow orchestrator).
2. Fan out child tasks through workflow (task(), parallel(), pipeline(), phase()) or a single manager session that owns the children.
3. Wait for child receipts or completion events.
4. Aggregate and verify load-bearing claims before treating them as facts.
5. Synthesize one result the operator can depend on.

Raw agent fan-out is appropriate only for independent, fire-and-forget work where no single fan-in result is required. If results must be merged, compared, or verified, route through workflow so the manager owns fan-in.

Workflow on fleet

The intended high-capability path is agent-authored. When the main agent decides a task needs more durable coordination than turn-by-turn sub-agent calls, it drafts a Workflow script/IR, presents the run plan according to the active permission mode, and the runtime compiles it into typed fleet work.

fleet remains the sub-agent roster and member-selection surface. It owns member identity, membership, semantic roles, saved provider/model pins or inheritance, and roster state. Workflow owns the orchestration plan: branch, sequence, loop, expand, review, and reduce decisions. The delegated coordinator and Runtime own slot admission, launch concurrency, the execution ledger, and every authority decision. A workflow script receives no direct shell, filesystem, network, provider-secret, cancellation, or TUI authority; workers perform real work as codewhale exec processes under the effective Runtime policy.

Default Workflow-to-fleet validation is intentionally bounded:

• 1,000 total worker agents per Workflow run;
• 16 live worker agents at once; larger populations queue (block) on the host's per-run concurrency gate until a live slot frees, then route through fleet;
• Workflow IR structural nesting no deeper than 5;
• Runtime child delegation defaults to 3 levels and has an opt-in hard ceiling of 8, independently of the Workflow document's structural depth;
• bounded loops only (max_iterations required);
• bounded dynamic expansion only (max_children plus a template required).

These are delegated-coordination population limits, not fleet identity and not a demand to launch everything at once. A 1,000-agent Workflow should still drain through the configured Runtime worker pool. They are also not model-step budgets: omitted or zero max_steps remains unbounded. An explicit positive max_steps may cap that task, while wall-clock timeouts, cancellation, provider safeguards, heartbeats, and admission controls remain independent.

Recommended model layouts, such as a DeepSeek Pro orchestrator with Flash workers in the first ring and cheaper workers farther out, are presets only. Every slot can inherit the active model or carry an explicit model override. Inheritance is literal: the model you select in /model is the operator (the pinned first row in /fleet roster), and any worker whose task spec and roster profile pin no model runs on that session model. Once a selected member has an exact provider/model pin, the Runtime does not silently reroute that identity because a policy input differs; it either runs that route inside the effective envelope or fails closed. Route receipts record the requested and resolved identity.

The setup UI should render this as an expanding grid: an orchestrator plus a small number of visible sub-agent slots, with Right/Enter drilling into a slot's next recursive ring rather than trying to show the whole tree at once.

Task Spec

codewhale fleet run accepts JSON or TOML. A minimal JSON spec:

{
  "name": "local smoke",
  "tasks": [
    {
      "id": "lint",
      "name": "Lint",
      "instructions": "Run the lint check and report failures.",
      "expected_artifacts": ["log"]
    }
  ]
}

Workers are optional. If omitted, Codewhale creates local worker slots up to --max-workers.

Task specs are typed in Rust and keep verification data separate from worker transcripts. Only the worker member/role reference participates in fleet identity selection. The remaining execution fields are delegated-coordination or Runtime inputs applied after the member is resolved. A task can declare:

• id, name, description, objective, and instructions
• worker role, tool profile, tools, and required capabilities
• workspace root, required files, writable paths, and environment allowlist
• input_files, extra context, budget, timeout_seconds, and retry_policy
• expected_artifacts, scorer, tags, and free-form metadata

None of those execution-policy fields becomes part of a fleet identity or an alternate member selector. Omitted or zero max_steps means no model-step ceiling; Codewhale must not synthesize a default step budget. Explicit positive step limits, timeouts, cancellation, provider safeguards, heartbeats, and admission control are enforced independently by the delegated coordinator and Runtime.

Workers write bounded artifact files under .codewhale/fleet/ and ledger only the artifact refs: kind, path, checksum, MIME type, and size. Receipts record pass, fail, partial, skip, or timeout; failed receipts may also mark the source as transport, task, or verifier. codewhale fleet status surfaces those failure-source counts separately.

Deterministic built-in scorers are exit_code, file_exists, regex_match, and json_path. Specs may also declare command, code_whale_verifier_prompt, or manual; those record a partial receipt until an explicit verifier pass completes.

Using Role Presets

Tasks can reference a semantic role name to select one unique roster member. Built-in role names (smoke-runner, reviewer, builder, read-only) remain available for compatibility, and custom roles may be defined in [fleet.roles].

{
  "name": "smoke check",
  "tasks": [
    {
      "id": "lint",
      "name": "Lint check",
      "instructions": "Run lint and report failures.",
      "worker": { "role": "smoke-runner" },
      "expected_artifacts": ["log"]
    }
  ]
}

After identity resolution, compatibility role presets may provide tool, timeout, or retry defaults to the delegated coordinator. Those defaults do not grant authority, do not change which member was selected, and remain subject to Runtime clamping. A task spec may request its execution settings explicitly:

{
  "id": "deep-review",
  "name": "Deep review",
  "instructions": "Review the entire crate for soundness issues.",
  "worker": {
    "role": "reviewer",
    "tools": ["cargo", "rg", "git"],
    "capabilities": ["rust"]
  },
  "input_files": ["crates/**/*.rs"],
  "budget": { "max_tokens": 32000 },
  "expected_artifacts": ["log", "report"],
  "scorer": { "kind": "regex_match", "path": ".codewhale/fleet/report.md", "pattern": "finding|all clear" }
}

Multi-Task Run Example

A single fleet run can dispatch several independent tasks in parallel:

{
  "name": "CI gate",
  "tasks": [
    {
      "id": "check",
      "name": "Compile check",
      "instructions": "Run cargo check --workspace and report errors.",
      "worker": { "role": "builder" },
      "expected_artifacts": ["log"],
      "scorer": { "kind": "exit_code" }
    },
    {
      "id": "clippy",
      "name": "Clippy lint",
      "instructions": "Run cargo clippy --workspace and report warnings.",
      "worker": { "role": "reviewer", "tools": ["cargo", "cargo-clippy"] },
      "expected_artifacts": ["log"],
      "scorer": { "kind": "exit_code" }
    },
    {
      "id": "security",
      "name": "Secret audit",
      "instructions": "Search for plaintext secrets and report any matches.",
      "worker": { "role": "read-only", "tools": ["rg"] },
      "input_files": ["crates/**/*.rs"],
      "expected_artifacts": ["log", "report"],
      "retry_policy": { "max_attempts": 1 }
    }
  ]
}

Alerts

fleet alerting is disabled by default. A caller must supply an enabled alert config before anything is sent. Routes match typed fleet event classes, not log strings:

• stale
• restart_exhausted
• needs_human
• budget_exceeded
• verifier_failed
• run_completed

Adapter config stores environment variable names, not secret values. Send-time code resolves those names from the environment or a future secrets provider. Ledger records store only audit labels such as slack, webhook, or pagerduty; task specs persisted in the ledger redact webhook URLs and routing keys.

Example alert config shape:

{
  "enabled": true,
  "dry_run": true,
  "routes": [
    {
      "events": ["stale", "restart_exhausted", "verifier_failed"],
      "adapter": "ops-slack"
    },
    {
      "events": ["restart_exhausted"],
      "adapter": "pager"
    }
  ],
  "adapters": {
    "ops-slack": {
      "kind": "slack",
      "webhook_env": "CODEWHALE_FLEET_SLACK_WEBHOOK",
      "channel": "#codewhale-fleet"
    },
    "pager": {
      "kind": "pager_duty",
      "routing_key_env": "CODEWHALE_FLEET_PAGERDUTY_ROUTING_KEY",
      "severity": "critical"
    }
  }
}

Use dry-run to inspect a redacted adapter payload without sending:

codewhale fleet alert-dry-run \
  --event stale \
  --run-id fleet-demo \
  --worker-id fleet-demo-local-1 \
  --task-id release-triage \
  --reason "worker heartbeat stale since 2026-06-13T02:00:00Z" \
  --adapter slack

The payload includes the run id, worker id, task id, status, short reason, and safe inspection commands such as codewhale fleet status and codewhale fleet inspect <worker-id>. Endpoints, webhook secrets, and PagerDuty routing keys are shown as <redacted:env:...>.

Status Surfaces

codewhale fleet status shows compact counts for queued, running, completed, partial, failed, restarted, escalated, cancelled, stale, and verifier/transport failure sources. inspect shows the worker state plus the current task objective, role, host, heartbeat, latest event, artifact refs, latest error, and alert state. logs prints bounded log artifact contents, and artifacts lists artifact refs without embedding large payloads.

The Runtime API exposes the same ledger-backed projection behind the existing runtime auth middleware:

GET  /v1/fleet/runs
GET  /v1/fleet/runs/{run_id}
GET  /v1/fleet/runs/{run_id}/workers
GET  /v1/fleet/workers/{worker_id}
POST /v1/fleet/workers/{worker_id}/interrupt
POST /v1/fleet/workers/{worker_id}/restart
POST /v1/fleet/runs/{run_id}/stop

Action endpoints call the same manager controls as the CLI and record their decisions in the fleet ledger.

Manager-Agent Runbook

Manager agents should treat fleet operations as typed, ledgered control-plane work. Start with codewhale fleet status, then inspect one run or worker with codewhale fleet inspect <worker-id>, logs, and artifacts. Use direct reads of .codewhale/fleet.jsonl, host logs, or remote files only when the typed CLI/API surface cannot provide the required evidence.

Classify the worker before taking action:

• transient failure: stale heartbeat, host timeout, interrupted transport, retryable provider/network error, or an adapter status that can plausibly recover without changing the task.
• task failure: the worker completed but produced an incorrect result, domain failure, missing required artifact, or explicit task-level error.
• verifier failure: the worker result exists, but the scorer/verifier failed, timed out, or disagrees with the receipt.
• needs-human: missing authority, secret request, destructive operation, repeated restart exhaustion, ambiguous product decision, or conflicting evidence that the manager cannot resolve from typed artifacts.

Choose one typed action:

• Restart a worker only when the failure is transient, retry budget remains, the task is idempotent or retry-safe, and no permission or secret boundary is involved: codewhale fleet restart <worker-id>.
• Interrupt or stop only when the current task is unsafe to continue or the operator explicitly asks for cancellation: codewhale fleet interrupt <worker-id> or codewhale fleet stop --all.
• Do not restart pure task failures by default; preserve artifacts and hand the receipt to the task owner unless the task spec says retrying can produce new evidence.
• For verifier failures, inspect scorer inputs and artifact refs first. If the verifier cannot be corrected through typed fleet actions, escalate for human review.
• For needs-human, draft an escalation instead of sending it unless alert config explicitly authorizes sending.

Safe Slack or PagerDuty draft:

Codewhale fleet needs attention
Run: <run-id>
Worker: <worker-id>
Task: <task-id or unknown>
Classification: <transient failure | task failure | verifier failure | needs-human>
Reason: <one sentence, no secrets>
Latest typed evidence: codewhale fleet inspect <worker-id>; codewhale fleet artifacts <worker-id>
Safe log excerpt: <3 lines max or "see artifact <ref>">
Requested decision: <restart approval | verifier review | task owner review | permission decision>

Post-run summaries should include the run id, workers checked, classification, typed action taken or drafted, expected ledger effect, artifact refs reviewed, and next owner. Keep summaries bounded; link artifact refs instead of copying full logs or transcripts.

The bundled fleet-manager skill mirrors this runbook for manager agents. It is a first-party system skill and should be discoverable through the normal skill registry after system skills are installed or refreshed.

Host Adapters

The Runtime host-adapter boundary supports local child processes and explicit SSH workers. Host choice is Runtime placement on a worker spec, not fleet member identity or a member selector. It does not authenticate the host or grant access. Adapters expose the same operations: start, read status, read bounded logs, interrupt, restart, stop, and cleanup.

Local workers run as child processes with stdin closed and stdout/stderr written to bounded host-adapter logs. They inherit only a small safe base environment such as PATH and explicitly allowlisted variables.

SSH workers run through the system ssh client with BatchMode=yes and a bounded connect timeout. Remote environment variables are sent with OpenSSH SendEnv; values are not embedded in the local ssh argv or fleet logs.

Example SSH worker spec:

{
  "id": "builder-1",
  "name": "Builder 1",
  "host": {
    "kind": "ssh",
    "host": "builder.example.com",
    "user": "codewhale",
    "port": 22,
    "identity": "~/.ssh/codewhale_fleet",
    "working_directory": "/srv/codewhale/work",
    "env_allowlist": ["CODEWHALE_PROFILE"],
    "codewhale_binary": "/usr/local/bin/codewhale"
  },
  "capabilities": ["local", "linux", "tests"],
  "max_concurrent_tasks": 1
}

Defaults are intentionally conservative:

• no hosted control plane or cloud provisioning is enabled;
• SSH requires an explicit host, working directory, and Codewhale binary path;
• secret-like environment names such as TOKEN, SECRET, PASSWORD, API_KEY, and PRIVATE_KEY are rejected from adapter allowlists;
• secrets should remain in Codewhale config providers or remote host config, not in task instructions, argv, or fleet logs.

Runtime policy and authority are not fleet identity

fleet does not define a project/workspace trust level, filesystem or network reach, secret access, approval mode, sandbox, tool set, or execution authority. Those belong to delegated-coordination and Runtime policy. This separation is load-bearing:

• member resolution considers only member id/name, semantic role, provider/model identity, and roster state;
• the selected identity is frozen before any authority policy is evaluated;
• the Runtime applies the live parent ceiling when one exists; standalone fleet CLI launches instead carry an explicit bounded authority envelope, and both paths remain subject to live sandbox and platform enforcement;
• no trust, permission, capability, secret, sandbox, approval, or tool-policy value may select another member or silently change its provider/model route; and
• receipts report requested and effective Runtime posture separately from the fleet member identity.

Older persisted configuration and protocol shapes may still contain fields such as security_policy, trust_level, permissions, capability_grants, secret references, host authentication, environment allowlists, or tool profiles. They remain deserializable for ledger replay, but new fleet run creation rejects security_policy and worker trust_level rather than pretending they grant authority. Their presence in old data does not make them fleet variables or grants. The active Runtime remains the final authority and fails closed when a requested operation cannot be enforced.

For current enforcement behavior, use Modes, Sub-agents, Agent Runtime, and the Command Control Plane. Keep secret values out of task instructions, arguments, logs, and receipts; adapter and Runtime layers must continue to redact or reject them independently of fleet selection.