delego

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SUMMARY

A policy & audit firewall for agent actions — deterministic authorization, action-bound human approval, and a signed, tamper-evident audit trail.

README.md

delego

CI
Python
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A policy & audit firewall for agent actions. It sits between an agent and
whatever credential broker holds the user's secrets, and it answers the one
question brokers don't: is this specific action the thing the human actually
asked for?

   agent  ──propose──▶  delego  ──if allowed──▶  credential broker  ──▶  service
   (LLM)               (policy +                (Agent Vault /         (bank,
                        approval +               OneCLI /               SaaS,
                        audit)                   Browser Use…)          API)
                           │
                           └── needs_approval ──▶  human (CLI)

📜 Protocol: delego implements protocol 0.2 of the open delego wire specification — canonicalization, the policy schema, intent/fingerprint binding, and the signed audit chain. The authorization token (spec 0.3) is specified but not yet implemented.

Why this exists

The "agent gets its own scoped credential, and never holds the user's secret
directly" pattern is now a crowded, converging space — Infisical's Agent
Vault
, OneCLI, Browser Use, Nango, and others all do credential
brokering.

The harder problem sits one level up — the confused deputy: the agent holds
a valid credential, a prompt injection redirects it, the scope covers the
action, so the broker happily injects the secret and the action goes through.
The credential is the wrong place to catch this — it's valid. OAuth tokens carry
no commitment to the original instruction.

Authorising the action (not just the credential) is an active area — see
deterministic policy engines (OPA/Cedar, Permit), human-in-the-loop approval
(HumanLayer), MCP gateways/firewalls, and the "pre-action authorization" line of
research. delego is a small, deterministic, local, Apache-2.0 reference for
it: no LLM in the decision path, no credential custody, approvals bound to the
exact action fingerprint, and a signed, hash-chained audit trail — riding the
existing broker layer rather than competing with it.

What it is / isn't

  • Is a decision-and-audit layer. Deterministic policy, human approval for
    sensitive actions, signed append-only audit ledger.
  • Isn't a credential vault or a proxy. It delegates execution to a broker
    through a thin BrokerAdapter interface — you ride the existing layer instead
    of rebuilding it.
  • Authorisation is pure Python, no LLM in the loop. A model can advise
    upstream; the decision that gates a credential is made outside the stochastic
    loop, so an injection can't talk its way past it.

Key properties

  1. Intent binding — every action carries a hash of the original human
    instruction, recorded in the audit ledger and re-checked at resolve time, so
    an approval cannot be re-pointed at a different claimed instruction.
  2. Action-bound, single-use approval — a human "yes" is bound to one exact
    action fingerprint. An agent that gets approval for action A cannot reuse it
    to run action B (the confused-deputy guard), and cannot replay the same
    approval to run action A twice — an approval releases its action exactly once.
  3. Tamper-evident audit — receipts form an Ed25519-signed hash chain.
    Editing, reordering, removing a receipt, or dropping a field breaks
    verification, which reports the fault rather than trusting the ledger.
    Caveats (be precise): hash-chaining does not catch truncation of the
    most recent receipts (a tail-truncated prefix verifies clean), and the local
    signing key protects nothing against a host compromise. For rollback
    detection, anchor the head externally and pass it to verify(expected_head=…);
    for key safety, use an HSM/KMS. See SECURITY.md.

Quickstart

pip install delego          # the `delego` library + CLI
# pip install "delego[mcp]" # add the `delego-mcp` server (MCP is an optional extra)
delego init               # creates ~/.delego with signing keys and an example policy
delego policy             # inspect the active policy

To run the full loop end-to-end from a clone — an allowed read, a forbidden deny,
an over-cap deny, an approval flow, the confused-deputy guard refusing a
substituted action, and audit-chain tamper detection (no agent or live service
needed):

git clone https://github.com/Delego-Dev/delego && cd delego
pip install -e ".[dev]"
python examples/demo.py
pytest

Human side (CLI)

delego policy            # show the active policy
delego pending           # list actions awaiting approval
delego approve apr_xxxx  # release a parked action (or: delego deny apr_xxxx)
delego log -n 20         # read recent receipts
delego verify            # check the audit chain (hashes, linkage, signatures)

Agent side (MCP) — wiring into Claude Code

delego ships an MCP server (delego_mcp) over stdio — install it with the mcp
extra: pip install "delego[mcp]". Register it in your MCP
config (for Claude Code, .mcp.json at the project root) so the agent can
propose actions. Set DELEGO_HOME to keep the policy, signing keys, and ledger
project-scoped under .claude/.delego:

{
  "mcpServers": {
    "delego": {
      "command": "delego-mcp",
      "env": { "DELEGO_HOME": "/abs/path/to/project/.claude/.delego" }
    }
  }
}

Initialise that home and approve from the same one (the CLI and MCP server must
share a home):

delego --home .claude/.delego init       # keys, example policy, and a .gitignore
delego --home .claude/.delego pending    # ...then: delego --home .claude/.delego approve apr_xxxx

If DELEGO_HOME is unset, the CLI also auto-uses ./.claude/.delego when run
from the project root, falling back to ~/.delego. (Use an absolute path in the
MCP env, since the server's launch directory isn't guaranteed.)

Tools exposed:

tool what it does
delego_propose_action submit an action; returns allow / deny / needs_approval
delego_resolve_action complete an approved action (fingerprint must match)
delego_audit_tail read recent receipts
delego_show_policy show the active policy

Typical flow: the agent calls delego_propose_action. If it comes back
needs_approval with an approval_id, a human runs delego approve <id>, then
the agent calls delego_resolve_action with the identical action to complete it.

Policy format

A rule matches on method / host / path (glob) / path_contains, decides
allow or needs_approval, and can attach constraints. Order is forbidden
(hard deny) → rules (first match wins) → default. A matched rule whose
constraints fail becomes a deny (fail-closed). See policy.example.yaml.

rules:
  - name: place-order
    decision: needs_approval
    match: { method: POST, host: api.example.com, path: /orders }
    constraints:
      amount:     { field: amount, max: 5000, currency: USD }
      allow_list: { field: destination, in: [internal] }

Supported constraints: amount (cap + currency), allow_list
(field-in-set), rate_limit (max per minute/hour/day, counted from the ledger).

Build on delego

Three ways to use it, lowest friction first:

  • As an MCP serverdelego init, add the delego-mcp server to your MCP
    config, and your agent proposes actions instead of executing them. No code.
  • As a librarypip install delego, write a policy + a BrokerAdapter, and
    call fw.propose(...) in your tool-call path.
  • Behind a service — wrap the Firewall in an HTTP API so many agents share
    one decision point and one audit chain.

The one extension point is the broker — where your credential lives and the
authorised action actually runs. delego never holds the secret:

  • NullBroker (default) — simulates execution; for demos and tests.
  • HTTPProxyBroker(gateway_url) — forwards the authorised action to an external
    credential gateway (OneCLI / vault / proxy) that injects the secret upstream.
  • Your own — implement execute(action) -> dict against the BrokerAdapter
    protocol in delego/brokers.py.

Delego-Dev/sample-app — a
FastAPI service built on the published package, with the full
propose → approve → resolve loop and a copy-paste curl walkthrough. The best
starting point for building your own.

See ROADMAP.md for where delego is going and where to help.

Status

  • Implemented (protocol 0.2): the policy engine, intent hashing, action
    fingerprinting, the confused-deputy guard, intent-bound + single-use human
    approvals, and the signed, hash-chained audit ledger with verification.
  • Brokers: the default NullBroker holds no credentials and makes no real
    request — it records what would be sent (for demos and tests). HTTPProxyBroker
    forwards an authorised action to an external credential gateway; or write your
    own against the BrokerAdapter protocol in delego/brokers.py.
  • Not yet: the authorization token (spec 0.3), an always-on daemon (state is
    file-backed and shared by the CLI and MCP server), and a non-MCP HTTP surface.
  • Known limitations: concurrent writes to the file-backed ledger and approval
    store are serialised with an OS file lock (corruption-safe), but rate-limit
    exactness under concurrency still needs the planned single-writer daemon;
    path globbing is coarse (** and * collapse); the URL query string is not
    part of the action fingerprint (spec 0.3).

License

Licensed under the Apache License 2.0.

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