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A policy & audit firewall for agent actions — authorise before a credential is used, require human approval for sensitive actions, and prove every action traces back to the instruction that authorised it.

Project description

delego

CI Python License

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 the open delego wire specification — canonicalization, the policy schema, the signed audit chain, and the authorization-token protocol.

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, deleting a receipt, or removing a field from one breaks verification, which reports the fault rather than trusting the ledger.

Quickstart

pip install delego        # installs the `delego` CLI and the `delego-mcp` server
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. 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 in v0.1: amount (cap + currency), allow_list (field-in-set), rate_limit (max per minute/hour/day, counted from the ledger).

Status (v0.1)

  • Implemented: the policy engine, intent hashing, action fingerprinting, the confused-deputy guard, the human approval queue, and the signed, hash-chained audit ledger with verification.
  • Stubbed: the broker. The default NullBroker holds no credentials and makes no real request — it records what would be sent. Swap in a real BrokerAdapter (see the HTTPProxyBroker sketch in delego/brokers.py) to act on live services.
  • Not yet: an always-on daemon (v0.1 uses file-backed state shared by the CLI and MCP server) and a non-MCP HTTP surface.
  • Known limitations: file-backed state is not safe under concurrent writers (a single-writer daemon is planned); path globbing is coarse (** and * collapse).

License

Licensed under the Apache License 2.0.

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