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Python SDK for the Agent Receipts protocol

Project description

agent-receipts

Python SDK for the Agent Receipts protocol

PyPI License: Apache 2.0 Python CI


Create, sign, hash-chain, store, and verify cryptographically signed audit trails for AI agent actions.

SpecTypeScript SDKReference Implementation


Why receipts?

If you're building with AI agents, you're probably already logging what they do. Receipts go further: they're cryptographically signed, hash-chained records that can't be quietly altered after the fact — and they follow a standard format that works across languages, agents, and systems.

Here's where that matters in practice:

  • Post-incident review — An agent ran overnight and something broke. The receipt chain shows exactly which actions it took, in what order, and whether each succeeded or failed — with cryptographic proof the log hasn't been tampered with after the fact.

  • Compliance and audit — Regulated environments require evidence of what systems did and why. Receipts are W3C Verifiable Credentials with Ed25519 signatures, giving auditors a tamper-evident trail they can independently verify.

  • Safer autonomous agents — Agents can query their own audit trail mid-session. Before taking a high-risk action, an agent can check what it has already done and whether previous steps succeeded, enabling self-correcting workflows.

  • Multi-agent trust — When agents collaborate, receipts serve as proof of prior actions. Agent B can verify that Agent A actually completed step 1 before proceeding to step 2, without trusting a shared log.

  • Usage tracking — Every action is classified by type and risk level, giving you a structured breakdown of what agents spent their time on.

Beyond local storage

The protocol is designed for receipts to travel — publishing to a shared ledger, forwarding to a compliance system, or exchanging between agents as proof of prior actions. Receipts are portable W3C Verifiable Credentials, but where they go is always under the user's control.


Install

pip install agent-receipts

Quick start

Create and sign a receipt

from agent_receipts import (
    create_receipt,
    generate_key_pair,
    hash_receipt,
    sign_receipt,
    CreateReceiptInput,
    Chain,
    Issuer,
    Outcome,
    Principal,
)
from agent_receipts.receipt.create import ActionInput

# Generate an Ed25519 key pair
keys = generate_key_pair()

# Create an unsigned receipt
unsigned = create_receipt(CreateReceiptInput(
    issuer=Issuer(id="did:agent:my-agent"),
    principal=Principal(id="did:user:alice"),
    action=ActionInput(
        type="filesystem.file.read",
        risk_level="low",
    ),
    outcome=Outcome(status="success"),
    chain=Chain(
        sequence=1,
        previous_receipt_hash=None,
        chain_id="chain_session-1",
    ),
))

# Sign and hash
receipt = sign_receipt(unsigned, keys.private_key, "did:agent:my-agent#key-1")
receipt_hash = hash_receipt(receipt)

Verify a receipt

from agent_receipts import verify_receipt

valid = verify_receipt(receipt, keys.public_key)
print(f"Signature valid: {valid}")  # True

Verify a chain

from agent_receipts import verify_chain

# Verify a list of receipts (e.g. [receipt] from the example above)
result = verify_chain([receipt], keys.public_key)
print(f"Chain valid: {result.valid}")
print(f"Receipts verified: {result.length}")
if not result.valid:
    print(f"Broken at index: {result.broken_at}")

Action taxonomy

The standardized action taxonomy (action types and risk levels) is defined in the protocol specification. Taxonomy classification will be added in a future milestone (M3).

What is an Agent Receipt?

A W3C Verifiable Credential signed with Ed25519, recording:

Field What it captures
Action What happened, classified by a standardized taxonomy
Principal Who authorized it (human or organization)
Issuer Which agent performed it
Outcome Success/failure, reversibility, undo method
Chain SHA-256 hash link to the previous receipt (tamper-evident)
Privacy Parameters are hashed, never stored in plaintext

API reference

Receipt creation and signing

from agent_receipts import (
    create_receipt,       # Build an unsigned receipt from input fields
    generate_key_pair,    # Ed25519 key pair (PEM-encoded)
    sign_receipt,         # Sign with Ed25519Signature2020 proof
    verify_receipt,       # Verify a receipt's signature
)

Hashing and canonicalization

from agent_receipts import (
    canonicalize,         # RFC 8785 JSON canonicalization
    hash_receipt,         # Hash receipt (excluding proof) -> "sha256:<hex>"
    sha256,               # Hash arbitrary data -> "sha256:<hex>"
)

Chain verification

from agent_receipts import (
    verify_chain,         # Verify signatures, hash links, and sequence numbering
)

Types (Pydantic v2 models)

from agent_receipts import (
    ActionReceipt,        # Signed receipt with proof
    UnsignedActionReceipt,  # Receipt before signing
    Action, ActionTarget, Authorization, Chain,
    CredentialSubject, Intent, Issuer, Operator,
    Outcome, Principal, Proof, StateChange,
)

Subpackage imports

from agent_receipts.receipt import create_receipt, sign_receipt
from agent_receipts.receipt.hash import canonicalize
from agent_receipts.receipt.types import CONTEXT, CREDENTIAL_TYPE

TypeScript SDK compatibility

camelCase aliases are available for users coming from the TS SDK:

from agent_receipts import (
    createReceipt,    # = create_receipt
    generateKeyPair,  # = generate_key_pair
    signReceipt,      # = sign_receipt
    verifyReceipt,    # = verify_receipt
    hashReceipt,      # = hash_receipt
    verifyChain,      # = verify_chain
)

Cross-language compatibility

This SDK produces byte-identical output to @agnt-rcpt/sdk-ts:

  • RFC 8785 canonical JSON matches exactly
  • SHA-256 hashes are identical
  • Ed25519 signatures from either SDK verify in the other

Cross-language compatibility is verified by test vectors generated from the TypeScript SDK.

Project structure

src/agent_receipts/
  receipt/
    types.py       # Pydantic models for all receipt types
    create.py      # Receipt creation with auto-generated IDs
    signing.py     # Ed25519 signing and verification
    hash.py        # RFC 8785 canonicalization + SHA-256
    chain.py       # Chain verification

Development

uv sync --all-extras
uv run pytest              # run tests
uv run ruff check .        # lint
uv run ruff format .       # format
uv run pyright             # type check
Language Python 3.11+
Types Pydantic v2, pyright strict mode
Linting ruff
Testing pytest
Dependencies pydantic>=2.0, cryptography>=41.0

Ecosystem

Repository Description
agent-receipts/spec Protocol specification, JSON Schemas, canonical taxonomy
agent-receipts/sdk-ts TypeScript SDK (npm)
agent-receipts/sdk-py (this package) Python SDK
ojongerius/attest MCP proxy + CLI (reference implementation)

License

Apache 2.0 — see LICENSE.

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