[fp-cli] fp policies, fp fleet and fp guardrails — the dashboard's enforcement pages from a terminal

[SiddarthAA]

fp policies · fp fleet · fp guardrails

Brings the dashboard's three enforcement pages — /policies, /enforcement,
/guardrails — to the CLI, so anything an operator can do by clicking, an
operator (or an agent) can do from a terminal or a CI job.

19 commits · 14 files · +3,530 · 883 tests pass.

What's here

17 subcommands under three groups, listed in fp help under a new ENFORCE
heading between OBSERVE and MANAGE.

Group	Commands
fp policies	list show publish test compose enable disable delete
fp fleet	list show deploy diff history rollback rename
fp guardrails	summary timeline

Every command takes the global --json, and every source input accepts a path,
@path, a pipe, -, or an interactive paste.

The three jobs, kept separate

Publishing a policy, deploying it, and seeing what it did are three jobs done by
different people at different times — which is why the dashboard splits them
across three pages and why this is three groups rather than one.

• policies mints immutable versions. Publishing deploys nothing, and
  every success path says so, because that is the single most surprising thing
  in the model.
• fleet puts a version on a machine. guardrails says what actually
  happened once it got there — coverage comes from Postgres, decision counts
  from ClickHouse, and a machine can be deployed-to and silent, or reporting and
  undeployed.

Two places this can destroy work, so both are pure and tested hard

PUT /enforcement/deployments/{id} is a full replace with no server-side
lock. Send {"policies": [a]} to a machine running [a, b, c] and it now
runs [a] — permanently, with a 200 and no warning. The dashboard never exposes
that as a form for exactly this reason.

• --add / --remove read-modify-write. The CLI reads the current set,
  applies the delta, shows the full resulting set, and writes that. Nothing
  you did not mention is disturbed. --set is the escape hatch for the
  declarative case and the only way to drop what you do not name.
• Race detection. No optimistic locking exists, so the CLI records the
  generation it read and refuses if the write does not land at exactly one
  higher — mirroring staleness() in lib/enforcementFleet.ts. It refuses and
  re-reads rather than reporting a success that erased somebody.

enforcement.py holds both with no HTTP in it, so they are testable without a
server.

Policies get checked before they reach a fleet

Nothing between an author and a machine validated policy source. This publishes,
deploys, and reaches every machine:

echo 'this is not javascript {{{' | fp policies publish broken

It then fails at enforcement time, on the machine, where nobody is watching.

• policies publish parse-checks with node --check first. --no-verify
  skips it; a host without node publishes with a stated reason rather than a
  silent skip.
• policies test executes the real file — bare import { deny } from "failproofai" and all — against a context you describe, and prints
  allow/deny/instruct per registered policy. Nothing is published, nothing
  installed. --expect turns it into a CI assertion; a correct deny is a
  passing test, so the decision alone never sets the exit code.
• policies compose drafts from a description via the Cloud assistant. By
  default it prints and stops — a generated policy that deploys itself is a
  generated policy nobody read.

Review round

A full pass over the surface: every command with no-args, --help, each option,
option combinations, invalid inputs, both auth modes, and state assertions after
each mutation against a live stack.

Ten findings. One was a crash; the other nine were commands stating something
false while every test passed — which is the failure mode this surface keeps
producing, and the reason the review asserted real state after each step rather
than trusting internal consistency.

Fixed	Was
fleet diff <typo>	exit 0 and "no machines have checked in yet" over a healthy four-machine fleet. Every sibling refuses an unknown id; this one filtered to nothing and called it a result → exit 6, at no extra request
guardrails --machine <typo>	exit 0, "no decisions recorded" — a typo indistinguishable from a quiet machine → exit 6
binary file input	raw Python traceback with internal paths, via path, @path and stdin, in both publish and test. read_source caught OSError, but decoding happens inside read() and raises UnicodeDecodeError. The NUL-byte guard written for this exact mistake could never fire — it inspects text, and a file that fails to decode never becomes text → clean exit 2, named
fleet history	called an enforce → observe flip "no change" — a policy that stopped blocking. Row identity was id@version, so effect-only diffs vanished and version bumps split into +x and -x → keyed by id, compares (version, effect), uses the deploy plan's own ~
policies list	"policies · 4" for three policies, with a docstring claiming "newest version of each" while returning every version → policies · 3 · 4 versions, newest-first per policy, matching the dashboard's own library
policies show	picked the first server-ordered match, so it showed the newest version only by luck → explicit max(version)
fleet rename m ""	✓ labelled m as — a sentence with a hole in it, for what is actually a clear → "cleared the label on m"
policies compose --out	written after the publish that can fail, so a refused publish discarded the draft you had just paid an assistant for; the write was also unguarded → saved first, guarded
exit codes	a malformed ref, --set with --add, a missing file and a bare deploy were exit 1 ("the server returned an error") for mistakes the server never saw → 2, matching the documented table and what --since/--expect in these same commands already did
--expect bogus	reported only after the node syntax check, so a bad flag was masked by file content → validated first

RefUsageError subclasses RefError, so every existing call site and all 15
pytest.raises(RefError) assertions keep working. A ref that parses but names
nothing stays exit 1; an unknown machine stays 6 — a script has to be able to
tell a typo from a rejected write.

Flagged, deliberately not changed

• policies test --event ignores the policy's own match.events. A
  PreToolUse-only policy still returns DENY under --event PostToolUse, where
  the daemon would never invoke it. Caveated in the docstring, and "run every
  registered policy" may be intended.
• --since 15m is one hour. The server takes whole hours. The render is
  honest — it prints guardrails · 1h — but the flag advertises a window it
  cannot deliver.
• fleet list needs ~118 columns. At 80 it degrades to lab… inte… ap….
  This is the shared house renderer, not new code, but a 36-char UUID currently
  wins over state.

Testing

• 883 tests pass, up from 871 — 12 new regression tests, one per finding.
• Verified live against a real stack across both auth modes: 16/16 commands
  refuse API-key mode with exit 2 (these endpoints are deliberately absent
  from /v1), and policies test correctly still works there, being local-only.
• State and ordering: --add A then --add B ≡ --add B then --add A; a
  plan naming one bad policy leaves no partial write; declining on a real
  pty writes nothing; a repeated identical deploy is a no-op that exits 0
  without writing, so a retrying harness succeeds rather than errors.
• Docs updated in the same change: fp-cli/README.md and
  fp-cli/skill/references/commands.md.

Note on CI

ci.yml triggers on pull_request: branches: [main], which filters on the
base branch. This PR targets feat/fp-cli, so its fp-cli job — pytest on
Python 3.10 and 3.13 with FP_CLI_REQUIRE_CONTRACT=1, a wheel build, a wheel
payload assertion and a console-script smoke test — has never fired here. It
runs the moment these commits land on feat/fp-cli, because that re-triggers CI
on #702, which does target main. Nothing reaches main ungated; the gate just
sits one level up the stack.

Not done here

The 18 customer-visible commands are still undocumented in enterprise-docs/cli.md
and the public docs/agenteye/cli.mdx, both of which live in the agenteye
repo. That is a separate change in a separate repo, awaiting sign-off.

[github-actions]

Thanks @SiddarthAA for your contribution to Failproof AI! 🙌

We'd love to discuss your PR and welcome you to our community: https://discord.befailproof.ai/

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[hermes-exosphere]

Hermes

Status	Reviewing
Verdict	Not reviewed yet
Head	c2a0ccceb4a0
Rounds	0 of 5

No summary yet.

What this changes

No component map for this revision.

Rounds

No review has finished on this pull request yet.

Findings

Nothing raised yet.

---

@hermes-exosphere help lists every command. This comment is maintained in place — I rewrite it after each review rather than posting a new one.

[hermes-exosphere]

Hermes

Status	Stood down
Verdict	Changes requested
Head	6f963b0f2096
Rounds	5 of 5

I have stood down on this pull request. I spent my round budget of 5 without converging and stopped rather than keep blocking. @hermes-exosphere dismiss <id> [reason] waives an open finding and gives me another round; @hermes-exosphere review [focus] starts over.

Changes requested: first deployments can overwrite another operator’s complete policy set while reporting success. The advertised 15-minute guardrail window also requests an hour of data. Containerized tests pass.

What this changes

flowchart LR
    n0PolicyauthoringCLI["+ Policy authoring CLI"]
    n1Localpolicyverifier["+ Local policy verifier"]
    n2FleetdeploymentCLI["+ Fleet deployment CLI"]
    n3GuardrailreportingCLI["+ Guardrail reporting CLI"]
    n4EnforcementAPIclient["~ Enforcement API client"]
    n5Enforcementdatamodels["~ Enforcement data models"]
    n6CLIpresentation["~ CLI presentation"]
    n7Operatordocumentation["~ Operator documentation"]
    n0PolicyauthoringCLI -- "policy source" --> n1Localpolicyverifier
    n0PolicyauthoringCLI -- "policy versions and drafts" --> n4EnforcementAPIclient
    n2FleetdeploymentCLI -- "full-set deployments" --> n4EnforcementAPIclient
    n3GuardrailreportingCLI -- "report windows" --> n4EnforcementAPIclient
    n4EnforcementAPIclient -- "API payloads" --> n5Enforcementdatamodels
    n5Enforcementdatamodels -- "rendered state" --> n6CLIpresentation
    n2FleetdeploymentCLI -- "replace semantics" --> n7Operatordocumentation

Loading

Rounds

Round	Reviewed	Commits in this round	Verdict
1	c2a0ccceb4a0	98eabb064410 cf9e3969b265 c2a0ccceb4a0	Changes requested — F1
2	ccebc5db7fcb	22b32687d1d3 ccebc5db7fcb	Changes requested — F1
3	1366765b5463	3665df6b4db4 1366765b5463	Changes requested — F1
4	df7153a0d43c	df7153a0d43c	Changes requested — F1
5	6f963b0f2096	6f963b0f2096	Changes requested — F1

Findings

Open

• F1 First-deployment races are reported as successful (fp-cli/fp_cli/enforcement.py) — round 1
• F2 The 15-minute guardrail option retrieves an hour of data (fp-cli/fp_cli/commands/guardrails_cmds.py) — noticed at round 2, advisory

---

@hermes-exosphere help lists every command. This comment is maintained in place — I rewrite it after each review rather than posting a new one.

[hermes-exosphere]

Hermes found blocking issues that should be addressed.

High: First-deployment races are accepted as successes

• Rule: DATA-001
• Location: fp-cli/fp_cli/enforcement.py:222
• Evidence: fleet_deploy records base=None when a checked-in machine has no deployment, then calls check_race after its full-replacement PUT. check_race returns immediately for every base is None at fp-cli/fp_cli/enforcement.py:222. Therefore two operators can both read no deployment; after one creates generation 1, the other's stale PUT creates generation 2 and replaces the first policy set, yet the second command reports success. The accompanying test only accepts (None, 1) and does not reject (None, 2).
• Required change: Treat a first deployment as clean only when the returned generation is 1, and add a regression test that check_race(None, 2) raises. To prevent rather than merely detect overwrites, make the API enforce an expected-generation/CAS precondition on the PUT.

[hermes-exosphere]

Hermes — High/High (DATA-001): First-deployment races are accepted as successes

fleet_deploy records base=None when a checked-in machine has no deployment, then calls check_race after its full-replacement PUT. check_race returns immediately for every base is None at fp-cli/fp_cli/enforcement.py:222. Therefore two operators can both read no deployment; after one creates generation 1, the other's stale PUT creates generation 2 and replaces the first policy set, yet the second command reports success. The accompanying test only accepts (None, 1) and does not reject (None, 2).

Required change: Treat a first deployment as clean only when the returned generation is 1, and add a regression test that check_race(None, 2) raises. To prevent rather than merely detect overwrites, make the API enforce an expected-generation/CAS precondition on the PUT.

[SiddarthAA]

Three rounds of end-to-end testing — 4 more bugs found and fixed

Driven against a live deployment as three different users, plus hostile input and real concurrency.

Round 1 — permissions and multi-tenancy

Signed in as three real users via OTP (read from mailpit), not simulated:

	policies list	fleet list	guardrails	writes
admin (34 perms)	0	0	0	0
policies:read only	0	0	0	5 on all 6
no policies perms	5	5	5	5

Org scoping is clean: --org orchard shows zero policies and zero machines while failproofai shows all of them — no leakage either way.

Round 2 — the agent/harness path

All 9 read commands under --json with no TTY: pure JSON on stdout, 0 bytes on stderr, none block. Write commands don't hang without --yes when stdin isn't a terminal.

Idempotency is exact — the same deploy three times: applied=True then noop=True, noop=True.

Round 3 — hostile input and concurrency

Path traversal, ids with slashes, 500-char ids, unicode/emoji, control bytes, 1.2 MiB sources, empty files, negative and huge rollback generations. Everything refused correctly except the two bugs below.

Six concurrent deploys to one machine:

outcomes: 1 clean, 5 race-detected
generations advanced by: 6 for 6 writers   (no skips)
final set: intact

The 4 bugs this round found

1. A typo'd machine id read as "nothing deployed". fleet show <typo> exited 0 with an empty set — indistinguishable from a real machine with no policies, which is a state that genuinely exists. history and rollback had the same hole. All three now exit 6 via one shared check.
2. A binary file published as "database error". A NUL byte reached Postgres and returned a bare internal failure. Now refused client-side with a sentence naming the likely cause, across all five input shapes.
3. vars() leaked snake_case into a camelCase JSON contract — fleet list gave machine_id while fleet diff gave machineId.
4. The Machine model was wrong — guessed from dashboard types. The live API returns deployment vs appliedDeployment, the intent-vs-delivery pair that now powers fleet diff.

One behaviour documented rather than changed

A no-op fleet deploy exits 0 without writing — desired-state semantics, so a retrying harness succeeds instead of erroring. Two consequences now stated in the code and the skill: applied in the JSON is the only way to distinguish "changed it" from "already matched", and because the short-circuit precedes the write, a policies:read user also gets 0 there. Nothing is written and nothing is gained, but exit 0 from a no-op is not proof of write access.

841 tests pass (47 unit tests on the pure logic).

Still not done

enterprise-docs/cli.md lives in FailproofAI/agenteye, which is out of scope for this branch. These commands are customer-visible and need a matching change there.

[hermes-exosphere]

Hermes found blocking issues that should be addressed.

High: First-deployment races are accepted as successes

• Rule: DATA-001
• Location: fp-cli/fp_cli/enforcement.py:222
• Evidence: When a checked-in machine has no deployment, fleet_deploy records base=None (fleet_cmds.py:170-176). Two operators can both read that state; the first PUT creates generation 1 and the second stale full-replacement PUT creates generation 2. check_race returns immediately for every base is None at enforcement.py:222-223, so the second command reports success after overwriting the first set. The tests only accept (None, 1) and do not reject (None, 2).
• Required change: Require a first deployment to return generation 1 and add a regression test that check_race(None, 2) raises. To prevent the overwrite rather than detect it after the fact, add an expected-generation/CAS precondition to the API PUT.

1 advisory finding

• Medium/High --since 15m queries a full hour — The command advertises 15m, but _hours maps it to 1 at guardrails_cmds.py:31. Summary and timeline then pass that value as the API's hours parameter (lines 66-68; client.py:1507-1524), so a request for 15 minutes includes up to an hour of coverage and decision data. (fp-cli/fp_cli/commands/guardrails_cmds.py:31)

[hermes-exosphere]

Hermes found blocking issues that should be addressed.

High: First-deployment races are reported as successful

• Rule: DATA-001
• Location: fp-cli/fp_cli/enforcement.py:222
• Evidence: Two fleet deploy invocations can both read no deployment, so each plan has base=None. The PUT at fleet_cmds.py:216 replaces the entire policy set and the second write returns generation 2, but check_race() returns immediately for every base is None at enforcement.py:222-223. The second command therefore emits applied: true after overwriting the first command's policy set. The client PUT at client.py:1480-1486 has no expected-generation precondition.
• Required change: Add a server-enforced expected-generation/CAS precondition to deployment writes and have the client send it. Also make the client-side check accept a first deployment only when the returned generation is 1, with a regression test that check_race(None, 2) raises.

1 advisory finding

• Medium/High --since 15m retrieves a full hour of guardrail data — The documented 15m option maps to 1 in _hours() at guardrails_cmds.py:31; summary, timeline, and policy commands pass that value as the API hours parameter (for example guardrails_cmds.py:66-68). Consequently a request for the last 15 minutes includes up to an hour of coverage and decisions. (fp-cli/fp_cli/commands/guardrails_cmds.py:31)

[hermes-exosphere]

Hermes found blocking issues that should be addressed.

Review coverage was incomplete, but the concrete blocking findings below are sufficient to request changes.

High: First-deployment races are reported as successful

• Rule: DATA-001
• Location: fp-cli/fp_cli/enforcement.py:222
• Evidence: fleet_deploy uses base=None when no deployment was read (fleet_cmds.py:170-176), then performs a full-replacement PUT (line 216). check_race returns immediately for every base is None (enforcement.py:222-223). Two operators can both read no deployment; the first write creates generation 1 and the second stale write creates generation 2, overwrites the first policy set, and emits applied: true. The client PUT sends no expected-generation precondition (client.py:1480-1486).
• Required change: Make the API enforce an expected-generation/CAS precondition and send it from the client. Independently, accept a first deployment only when it returns generation 1 and add a regression test that check_race(None, 2) raises.

1 advisory finding

• Medium/High --since 15m retrieves a full hour of guardrail data — All three guardrail commands advertise 15m, but _hours() maps it to 1 at guardrails_cmds.py:31. Summary and timeline pass that value as the API hours parameter (lines 66-68 and 99), so a requested 15-minute report includes an hour. (fp-cli/fp_cli/commands/guardrails_cmds.py:31)

---

Round 4 of 5. If the next review still finds something blocking, I will summarize what is left, withdraw this change request, and stop reviewing this pull request until someone asks me to start again.

Still open:

• F1 First-deployment races are reported as successful (fp-cli/fp_cli/enforcement.py) — open since round 1
• F2 --since 15m retrieves a full hour of guardrail data (fp-cli/fp_cli/commands/guardrails_cmds.py) — noticed at round 2, on code that had not changed since the round before, so it never blocked

If one of these is not worth fixing, @hermes-exosphere dismiss <id> [reason] waives it for the rest of this pull request and gives the review another round.

[hermes-exosphere]

I have spent 5 rounds of review on this pull request and I am still finding things to block on. At that point I am no longer the useful reviewer here, so I am standing down and leaving the decision to a person.

I have withdrawn my change request, so I am no longer blocking this pull request. I have also stopped reviewing new commits on it.

What I last reviewed: 6f963b0f2096.

Still open:

• F1 First-deployment races are reported as successful (fp-cli/fp_cli/enforcement.py) — open since round 1

• F2 The 15-minute guardrail option retrieves an hour of data (fp-cli/fp_cli/commands/guardrails_cmds.py) — noticed at round 2, on code that had not changed since the round before, so it never blocked

• @hermes-exosphere dismiss <id> [reason] waives one of these for the rest of this pull request and starts me again.

• @hermes-exosphere review [focus] starts over from a clean slate, with the waivers kept.

• @hermes-exosphere reconsider [reason] asks for one more decision on what is here now.

None of this is a judgement that the findings above are wrong. It is a judgement that another round of me is not what will settle them.

Hermes spent 5 rounds on this pull request without converging and has stood down. This change request is stale and should not block the merge.