Sernixa Python SDK

Sernixa gates Python function execution through a deterministic approval engine. The backend decides whether an action is allowed, auto-approved, blocked, or pending human review; the SDK executes the wrapped business function locally only after an approved-style decision.

The SDK is intentionally small: it does not execute business logic in the Sernixa backend, and it does not pretend to be a full agent framework. It gives you low-friction interception points for plain Python, LangChain, CrewAI, and MCP-style tool boundaries.

Before You Start

You need:

• A Sernixa workspace.
• A Sernixa API base URL, for example https://api.sernixa.com for hosted environments or http://localhost:8000 for local development.
• A browser-issued access token or an organization API key for automation.
• One function, tool, or agent action to protect first.

The SDK sends governance metadata to Sernixa. Your function still runs in your process, and only after Sernixa returns an approved-style decision.

Quickstart

Install from PyPI:

pip install sernixa

For local development from this checkout:

pip install -e packages/sernixa

Configure the API endpoint and key:

export SERNIXA_BASE_URL=https://api.sernixa.com
export SERNIXA_API_KEY="<your-org-api-key>"

For local development, use the local FastAPI backend instead:

export SERNIXA_BASE_URL=http://localhost:8000

import sernixa

@sernixa.intercept(
    intent_id="customer-notes",
    risk_level="LOW",
    operation_class="read",
    data_sensitivity="internal",
    systems_touched=["postgres"],
    metadata={"ticket": "DEMO-1"},
)
def summarize_customer(customer_id: str) -> str:
    return f"summary for {customer_id}"

print(summarize_customer("cus_123"))

If Sernixa returns approved, auto_approved, or executed, the function runs locally. If it returns pending_review, the SDK polls until a reviewer approves or rejects the action, or until the configured timeout expires.

First Run Checklist

1. Create or choose a Sernixa workspace.
2. Sign in interactively or create an organization API key for automation.
3. Export SERNIXA_BASE_URL and the selected credential.
4. Wrap one low-risk function with @sernixa.intercept(...).
5. Run the function and confirm the decision appears in the Command Center.
6. Increase risk levels only after the low-risk path is working.

High and critical risk actions are not silently auto-approved. Expect them to wait for human review unless policy blocks them outright.

Configuration

• SERNIXA_BASE_URL: Sernixa API URL. Defaults to http://localhost:8000.
• SERNIXA_ACCESS_TOKEN: revocable browser session token. Takes precedence over an API key.
• SERNIXA_API_KEY: bearer token for the API.
• SERNIXA_POLL_INTERVAL_SECONDS: approval poll interval. Defaults to 2.
• SERNIXA_POLL_TIMEOUT_SECONDS: approval wait timeout. Defaults to 600.
• SERNIXA_TIMEOUT_SECONDS: per-request HTTP timeout. Defaults to 10.
• SERNIXA_MAX_RETRIES: retries for transient network errors, 429, and 5xx. Defaults to 2.
• SERNIXA_MAX_ASYNC_IN_FLIGHT: maximum concurrent async SDK HTTP requests per event loop. Defaults to 20.
• SERNIXA_SDK_DLP_MODE: metadata DLP mode. Defaults to mask; use warn, block, or off intentionally.
• SERNIXA_CAPTURE_ARGUMENTS: set to true to include function argument values in submitted metadata. Defaults to false.
• SERNIXA_LOG_LEVEL: optional SDK logger level such as INFO or DEBUG.
• SERNIXA_DEBUG: set to true for verbose SDK request/decision logging.

You can also configure a client directly:

import os
from sernixa import Client

client = Client(
    base_url="http://localhost:8000",
    access_token=os.environ.get("SERNIXA_ACCESS_TOKEN"),
    api_key=os.environ.get("SERNIXA_API_KEY"),
    poll_interval=1,
    poll_timeout=120,
    timeout_seconds=10,
    max_retries=2,
    max_async_in_flight=20,
)

Validate the configured key and evaluate a policy input directly:

identity = client.whoami()
decision = client.governance_test({"operation_class": "read"})

Backend-authoritative approval continuity and evidence export are also available without constructing raw HTTP requests:

approval = client.approval_detail("approval_123")

bundle = client.export_evidence_bundle(approval_id="approval_123")
verification = client.verify_evidence_bundle(bundle)
if verification.get("valid") is not True:
    raise RuntimeError("Evidence bundle verification failed")

For org or time-range evidence, omit approval_id or provide both date_from and date_to. Ambiguous approval/team/date scopes and limits outside 1..5000 fail locally before a request is sent. These methods return backend records; they do not reinterpret a cached local status as an approval or a valid evidence artifact.

For an interactive application, use the browser device flow and then create a client from its revocable session token:

pending = client.start_cli_device_login(device_name="Developer workstation")
print(pending.verification_uri, pending.user_code)
login = client.poll_cli_device_login(pending.device_code)

session = Client(access_token=login.access_token)
plan = session.current_plan()
flight = session.feature_availability("flight_recorder")

The backend remains authoritative for roles, plans, and feature availability. Call logout_cli_session() to revoke a browser session. API keys remain the recommended credential for unattended automation.

If whoami() fails, fix the base URL or API key before wrapping production tools.

Intercepting Functions

@client.intercept(
    intent_id="billing-adjustment",
    risk_level="HIGH",
    operation_class="financial",
    data_sensitivity="financial",
    systems_touched=["stripe", "postgres"],
)
def adjust_invoice(invoice_id: str, amount_cents: int) -> None:
    ...

High and critical risk actions are never auto-approved by Sernixa. They remain pending review even when similar low-risk actions have a strong approval history.

Async Functions

The same decorator works on coroutines:

@client.intercept(
    intent_id="agent-read",
    risk_level="LOW",
    operation_class="read",
    data_sensitivity="internal",
    systems_touched=["vectordb"],
)
async def run_agent(query: str) -> str:
    return await agent.ainvoke(query)

Async clients reuse one httpx.AsyncClient per event loop and cap concurrent SDK requests with SERNIXA_MAX_ASYNC_IN_FLIGHT. Long-running async services should close reusable sessions during shutdown:

async with Client() as client:
    await protected_tool()

# or
client = Client()
...
await client.aclose()

Decision Handling

from sernixa import is_approved_status, is_terminal_status

assert is_approved_status("auto_approved")
assert is_terminal_status("rejected")

The SDK raises explicit exceptions for reviewer and policy outcomes:

from sernixa.exceptions import (
    SernixaBlockedError,
    SernixaConfigurationError,
    SernixaExpiredError,
    SernixaRateLimitError,
    SernixaRejectedError,
    SernixaTimeoutError,
    SernixaValidationError,
)

try:
    adjust_invoice("inv_123", 1000)
except SernixaBlockedError as exc:
    print(f"Blocked by policy: {exc.reason}")
except SernixaRejectedError as exc:
    print(f"Rejected by reviewer: {exc.reason}")
except SernixaExpiredError:
    print("Approval expired before a reviewer decided.")
except SernixaTimeoutError:
    print("SDK timed out waiting for a decision.")

Configuration and payload mistakes fail before the business function runs:

• SernixaConfigurationError: invalid base URL, timeout, poll, or retry settings.
• SernixaValidationError: malformed action metadata such as an empty intent_id, invalid risk_level, or non-JSON metadata.
• SernixaRateLimitError: the backend kept returning 429 after retries.

Extra Review Metadata

Use metadata for non-sensitive context that helps the approver understand the action:

@sernixa.intercept(
    intent_id="support-note",
    risk_level="LOW",
    operation_class="update",
    data_sensitivity="internal",
    systems_touched=["postgres"],
    metadata={"change_ticket": "SUP-1842", "env": "local-demo"},
)
def write_support_note(...):
    ...

Core governance fields such as risk_level and idempotency_key cannot be overridden by extra metadata.

By default, the SDK does not upload function argument values. It sends argument counts and keyword names only, and masks sensitive-looking metadata before the request leaves the process. To include full argument values for a trusted local debugging session, set SERNIXA_CAPTURE_ARGUMENTS=true; keep the default for shared development and production-like runs.

V3 Delegation Context

For local multi-agent workflows, create a delegation token through Sernixa and attach it while any delegatee agent runs protected tools:

from sernixa import Client, delegation_scope, with_delegation

client = Client()
token = client.create_delegation_token(
    delegator_agent_id="orchestrator-agent",
    delegatee_agent_id="worker-agent",
    scope=delegation_scope(
        max_risk_level="low",
        allowed_operation_classes=["read"],
        allowed_data_sensitivities=["internal"],
        resources={"repo": ["sernixa"]},
    ),
    tool_subset=["view-details"],
)

with with_delegation(
    agent_id="worker-agent",
    token_id=token["token_id"],
    signing_secret=os.environ["SERNIXA_REQUEST_SIGNING_SECRET"],
    chain_id=token["chain_id"],
    runtime_id="local-worker-runtime",
    service_identity="spiffe://local/agent/worker-agent",
):
    view_details()

The SDK signs each delegated request with a canonical envelope, timestamp, nonce, request body hash, key ID, and runtime identity metadata. Sernixa verifies the request signature, replay status, token signature, hash chain, expiry, delegatee identity, and scope before the existing approval logic runs.

LangChain Adapter

For current LangChain agents, add one middleware instance instead of wrapping every tool:

from langchain.agents import create_agent
from sernixa import Client
from sernixa.adapters import sernixa_middleware

agent = create_agent(
    model="openai:gpt-5",
    tools=[search_customers, update_customer],
    middleware=[
        sernixa_middleware(
            client=Client(),
            environment="production",
            data_sensitivity="internal",
            systems_touched=["crm"],
        )
    ],
)

The middleware uses LangChain's current wrap_tool_call and awrap_tool_call lifecycle. It calls the handler exactly once for allow, raises SernixaReviewRequiredError for review, and raises SernixaBlockedError for deny. Tool arguments and adapter metadata are redacted before evaluation.

Use the decorator when you control the tool function:

from langchain.tools import tool
from sernixa.adapters import langchain_tool

@tool
@langchain_tool(
    intent_id="finance-tool",
    risk_level="HIGH",
    operation_class="financial",
    data_sensitivity="financial",
    systems_touched=["stripe"],
)
def transfer_funds_tool(amount_cents: int, destination_account: str) -> str:
    """Transfer funds after Sernixa approval."""
    ...

Use the object proxy when a tool object already exists:

from sernixa.adapters import secure_langchain_tool

protected_tool = secure_langchain_tool(
    existing_tool,
    intent_id="customer-lookup",
    risk_level="LOW",
    operation_class="read",
    data_sensitivity="internal",
    systems_touched=["crm"],
)

result = protected_tool.invoke({"customer_id": "cus_123"})

Install LangChain separately if you use the adapter:

pip install "sernixa[langchain]"

The dependency-free proxy remains available for older or custom tool pipelines. It guards invoke, ainvoke, run, arun, and direct calls where the underlying tool exposes them, and forwards unknown attributes to the wrapped tool.

CrewAI Adapter

Use the decorator for plain functions that become CrewAI tools:

from sernixa.adapters import crewai_tool

@crewai_tool(
    intent_id="ticket-update",
    risk_level="HIGH",
    operation_class="update",
    data_sensitivity="internal",
    systems_touched=["ticketing"],
)
def update_ticket(ticket_id: str, note: str) -> str:
    return "updated"

Use the object proxy for existing CrewAI-style tool objects:

from sernixa.adapters import secure_crewai_tool

protected_tool = secure_crewai_tool(
    existing_tool,
    intent_id="crew-ticket-update",
    risk_level="HIGH",
    operation_class="update",
    data_sensitivity="internal",
    systems_touched=["ticketing"],
)

protected_tool.run("SEC-1842")

Install CrewAI separately if you use CrewAI itself:

pip install "sernixa[crewai]"

The SDK proxy supports the common run, _run, and direct-call execution shapes without requiring CrewAI as a hard dependency.

MCP Boundary Helpers

The local SDK helper governs an in-process MCP-style tool boundary:

from sernixa.adapters import McpToolBoundary

boundary = McpToolBoundary(server_name="workspace-mcp", toolset_id="toolset-prod")

def read_file(path: str) -> str:
    return open(path).read()

result = boundary.invoke(
    tool_name="read_file",
    arguments={"path": "/workspace/report.md"},
    handler=read_file,
    intent_id="mcp-read-file",
    risk_level="LOW",
    operation_class="read",
    data_sensitivity="internal",
    client_name="local-agent-host",
)

Place this at the host/router boundary before dispatching a tool call to the underlying MCP server/tool implementation. For registered remote and stdio MCP servers, the backend's strict gateway owns protocol initialization, the initialized notification, session/version continuity, and tools/call.

Gateway Run Wrapper

SernixaGateway is the target high-level developer surface for governing an existing agent or MCP/tool run call without rewriting the agent. It wraps the current approval oracle and records gateway metadata on the action request.

import os

from sernixa import RuntimeSensorConfig, SernixaGateway

sensor = RuntimeSensorConfig(
    # Explicit argv only; the SDK never invokes a shell.
    command=("/opt/sernixa/bin/sernixa-host-sensor",),
    api_url=os.environ["SERNIXA_BASE_URL"],
    org_id=os.environ["SERNIXA_ORG_ID"],
    collector_id=os.environ["SERNIXA_COLLECTOR_ID"],
    ingest_secret=os.environ["KERNEL_COLLECTOR_INGEST_SECRET"],
)

with SernixaGateway(
    api_key=os.environ["SERNIXA_API_KEY"],
    mcp_profile="prod-tools",
    enforce_ebpf=True,
    auto_start_runtime_sensor=True,
    runtime_sensor_config=sensor,
) as gateway:
    result = gateway.run(agent.run, input=user_task)

With auto_start_runtime_sensor=True, the SDK validates and starts the installed host sensor, consumes its JSONL stream, signs Flight Recorder batches, tracks backend acceptance, privately spools failed non-empty batches, and terminates the process on close() or context exit. Required evidence fails closed unless the backend accepts a sensor event or heartbeat before the bounded startup timeout. The ingest secret remains in the SDK process and is never copied into the privileged sensor environment.

The SDK does not silently install or privilege a kernel component. Linux eBPF, macOS Endpoint Security, and Windows ETW/eBPF sensors still require the platform's explicit installation, entitlement, signing, and privilege steps. If automatic lifecycle is not requested, enforce_ebpf=True only checks backend readiness, preserving the existing deployment contract.

Agent Plan Guards

Use the plan guard when a chat agent, Claude-style hook runner, or Codex-style wrapper can declare intended tool calls before execution:

from sernixa import Client
from sernixa.adapters import SernixaAgentGuard, chat_plan_step

guard = SernixaAgentGuard(
    Client(),
    agent_type="chat",
    user_identity={"email": "operator@example.com"},
    context={"workspace": "support", "channel": "slack"},
)
guard.declare_plan([
    chat_plan_step(
        tool_name="calendar.create",
        action="calendar.write",
        arguments={"title": "Review"},
        resource="calendar:primary",
    )
])
guard.execute_tool(
    calendar_create,
    tool_name="calendar.create",
    action="calendar.write",
    arguments={"title": "Review"},
    resource="calendar:primary",
)

declare_plan() calls the shared backend endpoint /api/controls/governance/agent-plan/evaluate. Every step is evaluated through the same governance engine and audit chain as governance_test(). Execution is blocked if no plan was declared, the plan is denied/review-only, the requested tool is unplanned, or a plan step is reused.

For a host integration that performs execution itself, explicitly consume the backend-signed step proof immediately before dispatch:

client = Client(plan_session_file=".sernixa/passport.json")
intent = client.governance_issue_intent_proof(
    provider="codex",
    session_id="session-123",
    turn_id="turn-123",
    cwd_digest=sha256_of_cwd,
    prompt=direct_user_prompt,
)
passport = client.governance_evaluate_plan(
    [{
        "step_id": "read-1",
        "tool_name": "Read",
        "action": "file.read",
        "arguments": {"path": "README.md"},
        "resource": "README.md",
    }],
    agent_type="codex",
    intent_proof=intent["intent_proof"],
)
authorization = client.governance_authorize_plan_step(
    tool_name="Read",
    action="file.read",
    arguments={"path": "README.md"},
    resource="README.md",
    provider="codex",
)

The API verifies the signed plan and exact hashes, checks organization/principal binding and expiry, and atomically consumes the proof. A changed argument, undeclared tool, or replay raises SernixaBlockedError. Authorization does not execute the tool and does not replace host permissions.

Any exact action, target, destination, argument, credential use, privilege, or destructive operation in a verified direct human prompt can proceed without redundant review while retaining its risk classification and evidence. Scope introduced by the agent instead returns review; retry the unchanged plan_id and plan with its approval_id after approval. Hard organization policy, failed security infrastructure, invalid or expired proof, and proof replay remain blocked.

State Model

• executed: Sernixa allowed the action and the SDK executed the local function.
• auto_approved: Sernixa policy allowed execution without human review.
• pending_review: the SDK is waiting for a reviewer and polling the approval.
• rejected: a reviewer denied the action; the SDK raises SernixaRejectedError.
• blocked: policy/security denied the action; the SDK raises SernixaBlockedError.
• expired: approval TTL elapsed; the SDK raises SernixaExpiredError.
• failed: backend replay/execution evidence failed; the SDK raises SernixaError.

Troubleshooting

• Action blocked: inspect exc.reason and the approval/audit page. Dangerous primitives and invalid signatures fail closed.
• SernixaValidationError: fix empty IDs, invalid risk levels, empty systems_touched, or non-JSON metadata.
• SernixaConfigurationError: check SERNIXA_BASE_URL, timeout, poll, and retry values.
• SernixaRateLimitError: reduce agent concurrency or increase backend limits for the environment.
• SernixaTimeoutError: the approval is still pending after SERNIXA_POLL_TIMEOUT_SECONDS.
• Browser works but SDK fails: verify SERNIXA_API_KEY and that the backend URL is reachable from the Python process.

Local And Hosted Configuration

Local demo:

export SERNIXA_BASE_URL=http://localhost:8000
export SERNIXA_API_KEY=e2e-admin
export SERNIXA_POLL_INTERVAL_SECONDS=1

Hosted or shared environment:

export SERNIXA_BASE_URL=https://sernixa.example.com
export SERNIXA_API_KEY="$SERNIXA_SERVICE_TOKEN"
export SERNIXA_TIMEOUT_SECONDS=10
export SERNIXA_MAX_RETRIES=2

Use real bearer tokens, HTTPS, shared nonce/rate-limit storage, and production KMS/HSM signing before treating a hosted environment as production.

Current backend handoff note: local SDK examples target a configured API. A production-like Sernixa backend must run behind the Auth.js/Google web session boundary, accept only the short-lived API JWT minted by the web app, and use Convex plus shared Redis for production runtime state.

TypeScript handoff note: the monorepo now includes packages/sdk as a real Node client for action gating, approval polling, typed errors, and gateway readiness checks, and the package is published on npm as @sernixa/sdk. Python remains the fuller SDK for delegation request-envelope signing and framework adapters.

Release

The package is published on PyPI as sernixa. Use editable install from this repository only when developing the SDK itself.

For local repository development, use editable install from the repo root:

pip install -e packages/sernixa

Local Examples

• examples/basic_auto_approval/: local walkthrough showing low-risk, repeated approval memory, and high-risk pending behavior.
• examples/multi_agent_delegation/: generic orchestrator/worker delegation token flow.
• examples/sernixa-sdk/: lower-level sync, async, LangChain, CrewAI, MCP boundary, Node gateway, and compose smoke examples.