Skip to main content

agenticrail

AgenticRail Python SDK — deterministic sequence enforcement for AI agents.

Gate every step of your agent workflow before it executes. Cryptographic receipts. Zero enforcement failures.

pip install agenticrail

What it does

AgenticRail sits beneath your agent and enforces that steps run in the right order, with no skips, no replays, and no re-entry after a sequence is sealed. Every decision — ALLOW, DENY, or HALT — produces a cryptographically signed receipt stored at the edge.

Three verdicts:

  • ALLOW — step is clear, your agent code executes
  • DENY — enforcement violation (wrong order, replay, sealed), execution blocked
  • HALT — hard stop (injection attempt, poison payload detected), execution blocked

Install

# Core client only
pip install agenticrail

# With LangGraph support
pip install "agenticrail[langgraph]"

# With CrewAI support
pip install "agenticrail[crewai]"

# Everything
pip install "agenticrail[all]"

Quick start — any framework

You do not need a key. There is nothing to sign up for.

Since 0.3.0 the client sends no credential unless you give it one, and the gate serves unrecognised callers on its public demo lane: the call runs, the receipt is real and signed, and the response tells you which lane you are on via lane, lane_reason and lane_notice.

The trade is that a demo-lane sequence is prefixed demo-, is rate limited to 300 requests/minute, and its report is readable by anyone holding the sequence id at report.agenticrail.nz/report. So evaluate freely, and do not put anything private in attestation until you are on a key of your own.

DEMO-AGENTICRAIL-PUBLIC-2026 is that lane's real, public key if you would rather name it explicitly. It is not a placeholder.

Production keys look different — prefix.secret, with a dot. Pass anything else, including an unset environment variable, and you are not turned away: the call runs on the demo lane and says so. Only a real key presented wrongly is refused. For a production key: hello@agenticrail.nz

What the demo key can do, and what is public

It is a real key, not a sandbox. Your own step names, your own order, your own inputs, every action type, signed receipts, full chain verification. The only differences from a production key are the demo- prefix on your sequence ids, the 300 req/min limit, and a shared model_id.

inputs and attestation are treated differently. This is the one thing to read before pointing the demo key at real work.

stays private published in full
inputs values — hashed into the receipt (payload_hash), never in the report attestation — it is evidence, and evidence is meant to be readable
step names, order, decisions, timings, pack_ids, signatures
the generated compliance narrative

inputs is for the payload. A third party can prove your sequence ran in order and was not tampered with, and still learn nothing about what was in it.

attestation is for the evidence you want a reader to see{"aml_check": "passed", "approvals": ["alice@co.com"]} — so it appears verbatim in the report. That is the design, not a leak, but it means anything you put in attestation on a demo sequence is world-readable.

And any demo- sequence can be read by anyone who knows or guesses its id, with no key at all. So kyc_check → credit_decision → disburse_funds tells a reader your process even though it tells them nothing about the customer.

Use a random sequence id per run. If the step names or the attestation contents are sensitive, that is the point to move to a production key — hello@agenticrail.nz.

Give every run a fresh sequence_id. Sealing is permanent and by design: once a sequence reaches its last step it can never be reopened. A fixed id therefore works exactly once — and on the shared demo key that id is shared with every other user, so the second person to run it gets RailDenied: SEALED_SEQUENCE. That is the gate working, not a bug.

import uuid

from agenticrail import RailClient

# No key needed. With no argument the client uses $AGENTICRAIL_API_KEY if
# set, and otherwise sends no credential at all -- the gate answers on its
# public demo lane and every decision carries `lane` so you know where you are.
client = RailClient()

# Silences the startup warning by naming the same lane explicitly:
#   client = RailClient(api_key=DEMO_API_KEY)

# RailSequence sends step_order on every call — the gate reads it from each payload
seq = client.sequence(
    sequence_id=f"my-agent-run-{uuid.uuid4().hex[:8]}",
    step_order=["verify_identity", "assess_risk", "execute_transfer", "audit_ledger"],
)

seq.next("verify_identity")    # → ALLOW
seq.next("assess_risk")        # → ALLOW
seq.next("execute_transfer")   # → ALLOW
seq.next("audit_ledger")       # → ALLOW (seals sequence)

# Any out-of-order, replay, or post-seal call raises RailDenied
seq.next("verify_identity")    # → raises RailDenied: SEALED_SEQUENCE

Get a production API key at agenticrail.nz.


LangGraph integration

Wrap each node at add_node time. Uses thread_id from LangGraph config as the sequence_id — each graph invocation is isolated.

from langgraph.graph import StateGraph, END
from agenticrail import RailClient
from agenticrail.integrations.langgraph import LangGraphRail

client = RailClient()  # $AGENTICRAIL_API_KEY, else the public demo lane
rail = LangGraphRail(
    client,
    step_order=["research", "analyze", "write_report", "review"],
)

builder = StateGraph(AgentState)

# Wrap each node — gate fires before node execution
builder.add_node("research",     rail.wrap("research",     research_fn))
builder.add_node("analyze",      rail.wrap("analyze",      analyze_fn))
builder.add_node("write_report", rail.wrap("write_report", write_report_fn))
builder.add_node("review",       rail.wrap("review",       review_fn))

builder.set_entry_point("research")
builder.add_edge("research",     "analyze")
builder.add_edge("analyze",      "write_report")
builder.add_edge("write_report", "review")
builder.add_edge("review",       END)

graph = builder.compile()

# thread_id → sequence_id: each invocation is independently tracked and verifiable
result = graph.invoke(
    {"query": "EU AI Act compliance checklist"},
    config={"configurable": {"thread_id": "run-2026-001"}},
)

What happens on DENY or HALT: rail.wrap() raises RailDenied inside the node. LangGraph catches unhandled node exceptions and halts graph execution. No subsequent nodes run.

Concurrent runs: Each thread_id is a separate sequence. Concurrent graph invocations with different thread IDs do not interfere — the gate tracks them independently via Durable Objects.


CrewAI integration

Use guard.kickoff() instead of crew.kickoff(). Step[0] is gated before the crew starts; subsequent steps are gated via a task callback injected between tasks.

from crewai import Crew
from agenticrail import RailClient
from agenticrail.integrations.crewai import CrewRailGuard

client = RailClient()  # $AGENTICRAIL_API_KEY, else the public demo lane
guard = CrewRailGuard(
    client,
    step_order=["research_task", "analysis_task", "write_task"],
)

crew = Crew(
    agents=[researcher, analyst, writer],
    tasks=[research_task, analysis_task, write_task],
)

# Drop-in replacement for crew.kickoff()
# Each call generates a fresh sequence_id — each run is independently tracked
result = guard.kickoff(crew, inputs={"topic": "AI governance"})

Note on blocking: CrewAI's task_callback fires synchronously between tasks, so the gate can block task N before task N starts. However, if CrewAI swallows exceptions in callbacks, a denied task may still execute. In that case, guard.kickoff() raises RailDenied after the crew finishes, preserving the denial in the audit trail.

For hard blocking (guaranteed pre-execution), use guard.gate() in a custom orchestration loop:

guard.reset()
for step, task_fn in zip(STEP_ORDER, task_functions):
    guard.gate(step)   # raises RailDenied immediately on DENY
    task_fn()

API reference

RailClient

client = RailClient(
    api_key=None,        # Optional. Omit it and the gate answers on the
                         # public demo lane, labelled in every response.
    model_id="agent",    # Optional. Identifies your agent in receipts.
    base_url=None,       # Optional. Defaults to api.agenticrail.nz/v1/evaluate.
    timeout=10,          # Optional. Request timeout in seconds.
)

client.evaluate(sequence_id, step, *, ...)

decision = client.evaluate(
    sequence_id="my-run-001",
    step="verify_identity",
    action_type="CHECK_STATE",     # Optional. Default: CHECK_STATE.
    action="verify user identity", # Optional. Human-readable label.
    inputs={"user_id": "u123"},    # Optional. Metadata attached to receipt.
    step_order=[...],              # Required on every call — gate reads it from each payload.
    raise_on_deny=True,            # Optional. Default True.
)
# decision.decision  → "ALLOW" | "DENY" | "HALT"
# decision.allowed   → True if ALLOW
# decision.pack_id   → SHA-256 receipt hash
# decision.receipt   → full signed receipt dict
# decision.reasons   → list of reason codes on DENY/HALT

client.sequence(sequence_id, step_order)

Returns a RailSequence that tracks step_order state — call .next(step) for each step without managing step_order yourself.

RailDenied

try:
    seq.next("execute_transfer")
except RailDenied as e:
    print(e.decision)   # "DENY" or "HALT"
    print(e.reasons)    # ["SEQUENCE_VIOLATION"]
    print(e.pack_id)    # receipt hash for audit
    print(e.step)       # "execute_transfer"

LangGraphRail

rail = LangGraphRail(
    client,
    step_order=["step_a", "step_b", "step_c"],
    fallback_sequence_id=None,  # Used when thread_id not in config
)
wrapped_fn = rail.wrap("step_a", original_fn, action_type="CHECK_STATE")

CrewRailGuard

guard = CrewRailGuard(
    client,
    step_order=["task_1", "task_2", "task_3"],
    sequence_id=None,    # Optional. Auto-generated per kickoff() call if None.
    action_type="CHECK_STATE",
)
result = guard.kickoff(crew, inputs={...})
guard.gate("task_1")     # Explicit gate for custom loops
guard.reset()            # Reset state for a new run

Compliance reports

Every pack_id in a RailDecision is a verifiable receipt. Paste your sequence ID into the report generator or call it programmatically:

curl -X POST https://api.agenticrail.nz/v1/report \
  -H "Authorization: Bearer DEMO-AGENTICRAIL-PUBLIC-2026" \
  -H "Content-Type: application/json" \
  -d '{"sequence_id": "my-run-001", "format": "json"}'

Returns: chain proof (Ed25519 signature verification, offline-reproducible; legacy HMAC k1 verified server-side for pre-cutover receipts), enforcement log, AI-written compliance narrative.

Demo sequences (using DEMO-AGENTICRAIL-PUBLIC-2026) are verifiable at report.agenticrail.nz — no auth needed.


Action types

Type Use when
CHECK_STATE Reading or observing state (default)
VALIDATE_INPUT Verifying inputs before acting
RECORD_RESULT Writing or committing an outcome
CLARIFY_NEXT_STEP Asking for clarification
SELECT_NEXT_STEP Choosing a path
WAIT_FOR_SIGNAL Pausing for an external trigger
PAUSE_CYCLE Deliberate suspension
REDUCE_STIMULUS Backing off

Links


TUARA KURI LIMITED — trading as AgenticRail. Hokianga, New Zealand.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

agenticrail-0.3.0.tar.gz (22.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

agenticrail-0.3.0-py3-none-any.whl (18.0 kB view details)

Uploaded Python 3

File details

Details for the file agenticrail-0.3.0.tar.gz.

File metadata

  • Download URL: agenticrail-0.3.0.tar.gz
  • Upload date:
  • Size: 22.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for agenticrail-0.3.0.tar.gz
Algorithm Hash digest
SHA256 3ccb89d6fcec83a8acee7204b127925d93bfa5886d8a5c477dcd5922117c5a40
MD5 0417177f5393f92826fa593dc3f58579
BLAKE2b-256 8dd117d94106caa1e373786ac761deb8887903f8ad9f445a575a23667c30986d

See more details on using hashes here.

Provenance

The following attestation bundles were made for agenticrail-0.3.0.tar.gz:

Publisher: publish-python-sdk.yml on MSMD-RUA/AgenticRail

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file agenticrail-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: agenticrail-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 18.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for agenticrail-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b06ff91544de5a1f17376e389a5187bcbbb8066b2b54b2997a54e31c367a8447
MD5 2d28b4dd04affdc121003523b31f98a7
BLAKE2b-256 ee5aeaed246180904a480b095485db3f695e31187432a76e9cd57b84d9ade3c0

See more details on using hashes here.

Provenance

The following attestation bundles were made for agenticrail-0.3.0-py3-none-any.whl:

Publisher: publish-python-sdk.yml on MSMD-RUA/AgenticRail

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page