attenu-guard

Delegation without escalation. attenu-guard checks every agent tool call in your process, narrows permissions at each handoff, and logs every decision in a verifiable chain. Works with 19 frameworks. No dependencies.

When one AI agent hands work to another, the frameworks we tested don't check the second one's permissions against the first one's. attenu-guard gives the child the permissions you declare for its task, never more than the parent holds, and refuses the rest, with no network call in the deny path.

What you get

1. One check on every tool call, inside your process, across 19 Python frameworks and A2A, with a TypeScript port.
2. Permissions that only narrow at each handoff, down any chain, with typed limits (rows, spend, calls) and cascade revocation.
3. A hash-chained, signable ledger of every allow and deny, for security audit, verified offline with the vendor absent.
4. Observe mode records everything and blocks nothing. Each decision goes on the ledger as it happens, and to any sink you add. You write the code that forwards it to your own endpoint.
5. No network in the deny path, and the library itself makes no network calls. Revoke at runtime.
6. Tested: 1,415 test functions, a red-team harness and property invariants in CI.

Apache-2.0 · Python 3.9+ · zero runtime dependencies · TypeScript port: attenu-guard-ts, on npm as attenu-guard

attenu.io · Docs · Attenu Derive — what each agent may do, read from your app · Internet-Draft · Changelog

Where it came from: a sub-agent in Open SWE pushed a workflow file its parent was held on. Reported, fixed by LangChain the same day, advisory published. The write-up.

pip install attenu-guard
attenu-guard demo   # one delegation, one poisoned instruction, the export refused, the chain verified

from attenu_guard import Authority, Guard, RowLimit, AuthorityDenied

# The orchestrator holds broad authority. Every decision lands in log.jsonl.
parent = Guard.issue("orchestrator", Authority(
    scopes={"crm.*", "mail.send"}, ceilings=[RowLimit(100_000)], ttl=3600),
    audit_path="log.jsonl")

# It delegates a narrow task. The child gets the meet of what the parent held
# and what the task needs, computed and enforced, not suggested.
child = parent.delegate("summarizer", Authority(
    scopes={"crm.read"}, ceilings=[RowLimit(5_000)], ttl=900), task="summarize Q3")

print(child.check("crm.read", context={"rows": 4_200}))

try:
    child.enforce("crm.export")
except AuthorityDenied as denied:
    print(denied)

Prints:

Decision(allowed=True, reasons=(), determining_node='chain:n1', call_id=None)
denied: scope_not_granted requested=crm.export: scope 'crm.export' not covered by held scopes ['crm.read']

Then render the log as a delegation tree and verify its hash chain:

attenu-guard view log.jsonl

orchestrator  [root]
    summarizer  «summarize Q3»
        · crm.read ✓
        · crm.export ✗ scope_not_granted

audit chain: 4 events · verification: OK

The guard will not overwrite an existing ledger, so delete log.jsonl before running the snippet again.

check() returns a Decision with machine-readable reason codes for your audit trail, enforce() is the hard-stop gate that raises, and would_allow() is a dry-run that writes nothing. The export is refused because the sub-agent never held that permission, so an injected instruction has nothing to widen.

Adapters for 19 frameworks and the A2A protocol, each integrated unmodified, each with offline tests, and all but OpenHands and AstrBot with an offline demo (matrix); install one with pip install 'attenu-guard[<extra>]'. MCP is a recipe rather than an adapter: a server that verifies the delegation chain before it runs a tool (server verifier).

Enforced live on Google's published adk-samples customer-service and financial-advisor apps, denying a real model mid-run (evidence). The same adapters run live on CrewAI and LangGraph, on crews and graphs we built for a travel-booking domain rather than on third-party apps. A3 states that limit.

Have a bundle to check? pipx run attenu-guard verify bundle.json checks integrity, child ⊆ parent and containment from the file alone, no account, no network. The auditor's walkthrough has three sample bundles (clean, tampered, widened) and takes a minute.

Just want to see it run? Clone the repo (git clone https://github.com/attenu-io/attenu-guard && cd attenu-guard); no install needed, the examples bootstrap the src/ path themselves: python3 examples/poisoned_summarizer.py, and python3 tests/run_properties.py for the invariants.

An open enforcement layer for OWASP ASI07 (insecure inter-agent communication) and ASI08 (cascading failures): delegated authority stays inside the parent's limits, and every check the guard records stays verifiable offline.

Proof

Does this happen in shipped code? Three projects merged native fixes for sub-agent defects we reported:

1. LangChain Open SWE. A sub-agent pushed a workflow file its parent was held on. Advisory GHSA-wpjg-64mw-3qj9 (published 2026-09-18, CWE-862, no CVE) credits "Reported by Rafael Asor (Attenu)"; reported 2026-09-07, native fix open-swe#2496 merged the same day. The write-up.
2. Yuxi. The default approval mode hid the write, edit and execute tools from sub-agents without intercepting them. Native fix xerrors/Yuxi#1001, merged 2026-09-08 with its tests.
3. minion-agent. A managed sub-agent's executor and step-limit configuration was dropped on the way in. Native fix femto/minion-agent#7, merged 2026-09-08 with regression tests.
4. And more. Further reports are inside their disclosure windows; they are listed here when they close.

Has anyone outside checked the claims? Three verifiers that share no code with this repository scored the published test vectors:

1. @safal207, Node.js: 20 of 20 Delegation Token vectors (HS256 profile, draft steps 1 to 5). Python, stdlib only: 18 of 18 observer-envelope vectors, revision v1.1.
2. @XuebinMa, Rust (agent-guard): 19 of 19 observer-envelope vectors, revision v1.2. Bundle vectors revision v1.4: 17 of 20 on the first run, 20 of 20 after one change.
3. Kieran Sweeney's Cred harness: 17 of 20 Delegation Token vectors, 0 fail, 3 declared gaps, each a stated design choice on his side.

Does it hold up today? Run 2026-09-28 on v0.18.0: tests/red_team.py 17 attacks, 15 defended, 2 documented limitations, 0 broken; tests/run_properties.py 4,000 random trees per invariant, all held.

Each third-party number is the author's reported corpus score at a pin, not completeness, runtime correctness or certification. Pins and boundaries: tests/vectors/README.md.

Compared with

Legend: ✓ stated on the project's own pages or shown by a run in this repository · ✗ its own pages or a run say no · — not stated on the pages read (silence is not a no). Framework hooks = Deep Agents, CrewAI, the OpenAI Agents SDK and Google ADK, each through its own hook API. Every quotation and every run, with 24 dated sources: docs/COMPARISON.md.

Tenuo and Keel enforce the same handoff rule we do. OAuth token exchange, SPIFFE, macaroons and Biscuit, and the four neighbouring Internet-Drafts (draft-niyikiza and draft-sweeney, both cited by our draft; draft-jackson, which cites ours; draft-schrock) are on the same page, each in its own words.

What happens at a handoff today

In the frameworks we audited, the handoff itself is not something the system can see: identity tokens describe two parties — user and agent — so "child ⊆ parent" cannot be written down, and policy checks fire when a tool is invoked rather than at the moment permissions are passed down. Verified against released code, and pinned by tests that fail the day the behaviour changes:

attenu-guard makes child ⊆ parent a computed, enforced, offline-verifiable invariant — in your framework, in your process — no proxy, and no network call in the deny path.

Features in detail

• Authority — an immutable capability (scopes + a list of typed, extensible Ceiling bounds + TTL) with meet, the lattice operation that can only ever shrink, and is_narrower_than, the provable subsumption relation.
• Guard — issue() a root, delegate() a sub-agent with attenuated authority, check() → Decision, enforce() → raises, would_allow() → dry-run, revoke() a whole subtree.
• Typed ceilings — RowLimit, SpendCap, CallLimit, EgressRank, Allow, Deny, Prefix, or your own via register_ceiling. Unknown ceiling types fail closed, never silently unbounded.
• Chain invariants — depth, fanout, and aggregate budget ceilings; cascade revocation (revoke any node, every descendant denies immediately).
• Hash-chained audit log — an open, versioned schema; attenu-guard view log.jsonl renders the tree and verifies it; tampering is provable offline. Every deny says why (disposition: held_pending_grant — waiting on a human · withheld_tier2 · unresolved — no authority known for the tool · out_of_authority — real over-reach), so "held" never reads as "denied"; evidence.export_bundle / verify_bundle / delegation_graph / denials give an auditor an offline-verifiable bundle and the folds a console renders. The bundle proves authorization and lifecycle, not execution or outcome — see what the evidence does not prove. AuditLog(sinks=…) hands each entry to every sink you add, after the file write; the library itself never sends it over the network. sinks.SpoolSink is a bounded, fsync'd, resumable write-ahead spool carrying the ingest idempotency key (boot_id, chain_id, seq, hash); attenu_guard.identity gives a product an identity before it has a key (.attenu/product.json, per-process boot_id, assigned chain ids). To forward every entry to your own endpoint as it is recorded, with a sink you write, see docs/STREAMING.md. A sink runs inside check(), so the one there only queues; a thread does the POST.
• Wire format (attenu_guard.wire) — serialize/load the delegation chain as signed Delegation Tokens and verify child ⊆ parent offline, across services, with no authorization server in the path. This is the reference implementation of the current working Internet-Draft in docs/; 20 interop test vectors live in tests/vectors/ and ship inside the installed package as attenu_guard.vectors, so an implementation in any language can score its own verifier with nothing but pip install attenu-guard.
• Scenario harness — declarative JSON/YAML authorization tests (attenu-guard scenarios file.json); see scenarios/.
• Adapters — shipped, tested integrations for the major agent frameworks as attenu_guard.adapters.<name>: LangGraph, LangChain create_agent / deepagents, OpenAI Agents SDK, Google ADK, Pydantic AI, CrewAI, AutoGen, Microsoft Agent Framework, AG2, Claude Agent SDK, smolagents, AWS Strands, LlamaIndex, Semantic Kernel, Agno, Haystack, CAMEL-AI, OpenHands, AstrBot — and, for the A2A protocol, a client interceptor plus a guarded AgentExecutor that carries the attenuated chain across a hop between processes. Each has offline tests, and all but OpenHands and AstrBot have an offline demo under examples/integrations/; install one with pip install 'attenu-guard[<extra>]'. Hooks, versions and what each framework enforces itself: docs/INTEGRATIONS.md.

Observe mode: record first, gate later

You do not have to decide a policy to get value out of this. Point it at agents that already exist, let every call through, and read what they did. Nothing is refused, so there is nothing to get wrong.

from attenu_guard import Authority, Guard

# Wide on purpose: you are watching, not gating.
# Note the scope grammar: "*" is only valid as the final segment, so list the
# families your app uses. A bare "*" is rejected.
WIDE = Authority(scopes={"crm.*", "mail.*", "fs.*"}, ceilings=[], ttl=3600)

root  = Guard.issue("orchestrator", WIDE, max_depth=4)
child = root.delegate("summarizer", WIDE, task="summarize")

root.check("crm.read")            # allowed, and recorded
child.check("crm.read")
child.check("mail.send")

for e in root.audit_log().entries:
    print(e.get("event"), e.get("node"), e.get("scope"))

root chain:n0 None
spawn chain:n1 None
allow chain:n0 crm.read
allow chain:n1 crm.read
allow chain:n1 mail.send

Every hand-off and every call is on the hash-chained log, with the parent each child came from. Read it, and you can see whether a child ever made a call its parent would not have been allowed to make. Then narrow the authorities and the same code starts refusing.

On somebody else's app, you will not know the tool names in advance. The adapters take two hooks for exactly this: default_policy(tool_name) -> ToolPolicy and default_subagent_authority(name) -> Authority. When nothing was declared for a tool or a sub-agent, the hook's result is used as if it had been, so the call is authorized and recorded with a generated scope instead of denied. default_policy takes precedence over allow_unlisted, which silently passes unlisted tools without recording a scope for them.

What this does not do. A wide authority is a choice you are making, not a magic pass: a tool that is listed and falls outside the authority still denies. Observe mode changes what you declare, not how check() decides. And a call that never reaches the hook is neither recorded nor refused — see docs/THREAT-MODEL.md.

Canonicalization and compatibility

Versions 0.7 and later use RFC 8785 JCS for every signed or hash-linked artifact: Delegation Token protected headers and payloads, parent commitments, integrity seals, audit entries, anchors, and evidence bundles. Tokens and metadata-bearing artifacts emit "c14n":"JCS" as an informational label. Verifiers enforce JCS from canonical bytes and hashes, not from that label; non-canonical input, duplicate object member names, non-finite numbers, and lone UTF-16 surrogates are rejected.

This is a deliberate wire-format break from versions through 0.6.1. Current versions have no legacy or dual-format reader. Producers and verifiers in different languages must move together; the 20 packaged interop vectors pin the required bytes and rejection reasons.

Prove the safety claims yourself

git clone https://github.com/attenu-io/attenu-guard && cd attenu-guard
python3 tests/run_properties.py      # 4,000 random delegation trees per invariant, zero deps
python3 tests/red_team.py            # 17 adversarial attacks, black- & white-box; 0 must break
python3 examples/poisoned_summarizer.py
attenu-guard demo                    # needs pip install attenu-guard

The property suite asserts — over thousands of random chains — that attenuation never widens, holds transitively down a chain, that a revoked subtree authorizes nothing, and that audit tampering is detected. The red-team harness (see docs/RED-TEAM.md) additionally tries to break the protocol — privilege escalation, chain splicing, expired-grant reuse — and every genuine finding is fixed and pinned as a regression. If you can break one, the core claim is false; please tell us.

Writing

Runs, not claims, on what each agent framework does at a handoff — one post per finding, versions pinned, output pasted: attenu.io/blog (feed). Start with Does a sub-agent inherit its parent's permissions? Five frameworks, five answers.

Standards

The protocol is designed to be IETF-acceptable: it reuses the OAuth/JOSE stack (JWT, RFC 9396 authorization_details, DPoP, Token Status List) and invents only the one missing piece — cryptographically-linked, subsumption-enforced, offline multi-hop attenuation. See docs/STANDARDS-ALIGNMENT.md and the Internet-Draft draft-asor-wimse-agent-delegation-chain (published revision -01, individual submission, targeting the WIMSE working group; source in docs/).

What this is not

This library does not decide authority for you. You write the Authority for each delegation — or you let attenu-derive, the open engine, compute it from your app's declared structure (agents, roster, tools, what each task calls) and approve it before it is enforced. The library is the enforcement shim and the open schema; it is useful entirely on its own, forever, with no account and no network. Attenu also has a console for denials and decisions. It is not public yet, and it is never in the deny path.

attenu-guard only sees calls that go through its hook. A tool called some other way is neither refused nor logged, and an allow means authorized, not executed. See docs/THREAT-MODEL.md and the documented limitations in docs/RED-TEAM.md.

License

Apache-2.0. Contributions under the DCO. Security policy in SECURITY.md.