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tenbri (Python)
Python bindings for Tenbri. Audit trail for AI agents:
every decision signed, chained and provable. The same Rust core as the tenbri CLI and tenbrid,
as an abi3 wheel for Python 3.10 and later.
pip install --pre tenbri
from tenbri import Refused, Tenbri
# A directory, file://..., s3://bucket/prefix or r2://bucket/prefix. create=True makes the stream
# and its keys (in $TENBRI_KEYS, else ~/.config/tenbri/keys) when there is none.
log = Tenbri.open("./audit/support", create=True, digest_key=b"a 32-byte secret, kept apart....")
print("pin this:", log.fingerprint)
with log.run("agent:support-assistant") as run:
# Reads are pinned to the next decision's inputs, with a keyed digest of what was read.
run.read("policy:refund", "14", b"refunds under 50 EUR are automatic")
# The intent is durable before the block runs; the outcome follows: ok, refused or error.
with run.decision("issue_refund", "stripe:ch_123"):
pass # issue the refund here; raise Refused(...) when your policy says no
report = log.verify(log.fingerprint)
print(report.ok, report.entries)
for m in log.query(inputs=["policy:refund@14"]):
print(m.verification, m.entry["action"])
log.close()
decision is also a decorator; target may be computed from the arguments:
@log.decision("issue_refund", target=lambda charge, amount: f"stripe:{charge}", principal="agent:billing")
def refund(charge: str, amount: int) -> None: ...
With asyncio, AsyncTenbri has the same methods as coroutines, async with decisions and
decorators of async functions. Nothing blocks the event loop, and concurrent appends share one
group commit.
from tenbri import AsyncTenbri
async with await AsyncTenbri.open("s3://acme-audit/tenbri/support") as log:
intent = await log.intent(action={"type": "reply_ticket"}, principal="agent:support")
await log.outcome(intent, "ok")
- Low level:
log.intent(draft, **fields),log.outcome(intent, status, **fields)andlog.append(entry)take format v1 drafts as dicts and return entries as stored. - Idempotent retries: give a draft an
id(tenbri.new_id()); appending the same entry again returns the original. Every write error carries theidit was writing. - Errors are typed, one per stable code shared with tenbrid:
TenbriErrorand its subclasses (StoreUnavailableErrorisTENBRI_STORE_UNAVAILABLE, ...), with.code,.reason(the format's error code) and.id. - Read-only: without the stream's keys, a stream opens read-only;
verifyandquerywork, writes raiseNoSessionKeyError. verify(key)is onlyokagainst a pinned key: without one it shows that the stream agrees with its own genesis key, which proves nothing about who wrote it.
Metadata
Release files for tenbri 0.1.0b1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| tenbri-0.1.0b1.tar.gz | 134.9 kB | Without provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| tenbri-0.1.0b1-cp310-abi3-win_amd64.whl | CPython 3.10 | abi3 | Windows x86-64 | Details |
| tenbri-0.1.0b1-cp310-abi3-musllinux_1_2_x86_64.whl | CPython 3.10 | abi3 | Linux musl 1.2+ x86-64 | Details |
| tenbri-0.1.0b1-cp310-abi3-musllinux_1_2_aarch64.whl | CPython 3.10 | abi3 | Linux musl 1.2+ ARM64 | Details |
| tenbri-0.1.0b1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.10 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| tenbri-0.1.0b1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | CPython 3.10 | abi3 | Linux glibc 2.17+ ARM64 | Details |
| tenbri-0.1.0b1-cp310-abi3-macosx_11_0_arm64.whl | CPython 3.10 | abi3 | macOS 11.0+ ARM64 | Details |
| tenbri-0.1.0b1-cp310-abi3-macosx_10_12_x86_64.whl | CPython 3.10 | abi3 | macOS 10.12+ x86-64 | Details |
Total release size: 28.7 MB
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| Download URL | tenbri-0.1.0b1-cp310-abi3-win_amd64.whl |
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