AGA Python SDK
Cryptographic governance receipts for AI agent tool calls. This SDK emits the canonical SEP evidence bundle, the same offline-verifiable artifact the AGA gateway produces, so a governance decision sealed in Python re-derives, byte-for-byte, under the reference verifiers in three languages (JavaScript, Go, Python): three separate implementations, runnable offline without the producer.
PyPI distribution: aga-governance.
What the SDK emits
Each governed tool call becomes a signed, 15-field governance receipt. Receipts hash-link into an append-only chain, the chain's leaves bind into a Merkle root, and a gateway-signed checkpoint binds the root, leaf count, and chain head so truncation is detectable. The bundle uses standard primitives only:
- Ed25519 receipt signatures (RFC 8032).
- SHA-256 for hash chaining, Merkle trees, and leaf computation.
- JCS-lineage canonicalization: deterministic, byte-compatible with the reference verifier and with the TypeScript and Go implementations.
- A no-prefix binary Merkle tree with a mandatory signed checkpoint
(the construction is frozen in the
aga-receipt-specrepository).
Install
pip install aga-governance
Install
aga-governance(the distribution name). The unrelated PyPI project namedagais a different package; installing it will not give you this SDK.
Quick Start
from aga import AgentSession
SEED = bytes.fromhex("cc" * 32) # 32-byte signing seed (provision securely)
with AgentSession(gateway_id="my-gateway", signing_key_seed=SEED) as session:
session.record_tool_call(
tool_name="read_file",
decision="PERMITTED",
reason="allowed by policy",
request_id="req-001",
)
bundle = session.export_bundle() # a canonical SEP evidence bundle (dict)
result = session.verify()
assert result["overall_valid"]
Verifying a bundle
Verification is producer-independent: any conformant verifier reaches the same verdict on the same bundle, offline. Start with the Python-native paths this package ships.
CLI:
aga verify bundle.json # human-readable, check-by-check output
aga verify bundle.json --json # the full result object as JSON
Bundle: bundle.json
Algorithm: Ed25519-SHA256-JCS
Receipts checked: 2
Algorithm valid: True
Signatures valid: True
Chain integrity: True
Merkle proofs: True
Bundle consistent: True
Checkpoint valid: True
Envelope consistent: True
Verification: PASSED (integrity only: issuer not verified; pass --pubkey to verify provenance)
API:
import aga
result = aga.verify_bundle_file("bundle.json")
assert result["overall_valid"]
Pin the gateway public key to also prove who issued the bundle; without a pinned key you get an integrity-only result:
aga verify bundle.json --pubkey <64-hex-gateway-public-key>
# -> Verification: PASSED (provenance verified)
result = aga.verify_bundle_file("bundle.json", expected_public_key="<64-hex>")
Cross-checking with the other reference verifiers
A Python-produced bundle verifies under the reference verifiers in three languages (JavaScript, Go, and Python): three separate implementations, runnable offline without the producer. The SDK's canonicalization and leaf computation are pinned to the same cross-language conformance vectors, so a bundle sealed here re-derives byte-for-byte under each. This SDK's verifier enforces the same strict conformance rules (exact-key schema, canonical timestamps and ordering, envelope consistency, strict-hex Merkle proofs, and a mandatory signed checkpoint), so it agrees with them verdict-for-verdict rather than being a looser convenience check.
Check-name mapping vs the JS reference verifier
The two stacks decompose the same seven-check verification differently. Overall verdicts and exit codes agree on every conformance-corpus case (re-proven 2026-07-01: 10/10 cells across pristine/tampered bundles with unpinned, correct, and wrong keys); the sub-check that reports a given tamper can differ:
| Python result field | JS reference check | What it covers |
|---|---|---|
algorithm_valid (+ parts of bundle_consistent) |
structural |
algorithm id, key well-formedness, counts |
receipt_signatures_valid |
receipt_signatures |
Ed25519 over canonical receipt bytes |
chain_integrity_valid |
chain_and_ordering |
prev-leaf linkage, monotonic ids and timestamps |
merkle_proofs_valid |
merkle_and_bijection |
leaf recompute, single-root walk, index bijection |
checkpoint_valid |
signed_checkpoint |
gateway-signed root + count + chain-head binding |
envelope_consistent |
envelope_consistency |
envelope metadata vs signed content |
gateway_key_match / provenance |
gateway_key_match (with --pubkey) |
pinned issuer key |
Known decomposition difference: the JS reference recomputes every Merkle leaf
from full receipt content, so a receipt-signature tamper also fails its
merkle_and_bijection; this SDK surfaces the same tamper in
receipt_signatures_valid, chain_integrity_valid, and bundle_consistent
while merkle_proofs_valid can remain true. Neither is looser: the bundle
fails in both stacks, exit 1. A malformed --pubkey pin is a usage error
(exit 2) here, while the JS reference treats a malformed pin as unpinned; the
Python behavior is strictly tighter.
# JavaScript reference verifier, from the aga-receipt-spec repository
# (published with the npm package @attested-intelligence/aga-mcp-server on
# GitHub: https://github.com/attestedintelligence/aga-mcp-server):
node aga-receipt-spec/verify/verify-sep.mjs bundle.json --pubkey <gateway-public-key>
Scope: what a verified bundle proves
A verified bundle proves the integrity of the receipts present: each is
authentic, correctly ordered, Merkle-included, and (when a key is pinned)
provenance-bound. It does not prove the policy was correct, and it does not
prove non-omission: completeness of capture is bounded by the tamper-evidence
of the interception point, which is outside the bundle. The offline-verifiable
artifact a counterparty receives is payload-excluded (it carries an
arguments_hash, never the raw payload). We prove the record, not that the
policy was correct.
Tests
Our source repository carries the automated suite: 209 tests as of 2026-07-04
(python -m pytest), including the cross-stack conformance vectors that prove
byte-for-byte agreement with the JavaScript and Go implementations. The
published wheel and sdist ship the library only; the tests are not part of the
installed package.
License
Apache-2.0. Patent Pending.
Release files for aga-governance 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aga_governance-0.3.0.tar.gz | 32.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aga_governance-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 72.7 kB
Release files / aga_governance-0.3.0.tar.gz
| Download URL | aga_governance-0.3.0.tar.gz |
|---|---|
| Size | 32.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
89c0124df09161ac3f46611732d4f55c731b3724782a0819834e60cb8c03d3bd
|
|
BLAKE2b-256 checksum How to use checksums |
76eb3157036fbc2864de2090b7dc9528f6bf78c74ad559352c0e80b32325acf2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 29, 2026.
Transparency logRelease files / aga_governance-0.3.0-py3-none-any.whl
| Download URL | aga_governance-0.3.0-py3-none-any.whl |
|---|---|
| Size | 39.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
23e899db17f0f804ba5f9bfec2270e942bcfd3b962d00ddc9fe98e534ffa6742
|
|
BLAKE2b-256 checksum How to use checksums |
422cc550db68c4c0fa172dd1c590ef3f658e8ea6a30417057789f7807bd22947
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 29, 2026.
Transparency log