Skip to main content

VerifiedX Python SDK

Project description

VerifiedX Python SDK

Minimal Python SDK for framework-native VerifiedX capture and boundary preflight.

Install

pip install verifiedx

Protect one action free: verifiedx.me

Docs: docs.verifiedx.me/sdks/python

Doctor: verifiedx doctor

Create a project and runtime key in the VerifiedX dashboard, then set VERIFIEDX_API_KEY in the app environment. VERIFIEDX_BASE_URL is optional and only needed for self-hosting or non-default environments.

Quickstart

from verifiedx import init_verifiedx

vx = init_verifiedx()


class AgentHarness:
    def call_model(self, messages):
        return {"messages": messages}

    def send_email(self, to, body):
        return {"to": to, "body": body, "status": "sent"}


harness = AgentHarness()
vx.install_runtime(
    harness,
    llm={"call_model": {"model_name": "gpt-5.4-mini"}},
    tools={"send_email": {}},
)

init_verifiedx() stays stable. The default integration path is now a single install_runtime(...) bind that auto-instruments supported Python runtime surfaces, captures conversation windows, and routes boundary decisions through the V4 raw-capture lane without builder-authored semantic callbacks.

Minimal launch env:

export VERIFIEDX_API_KEY="vxpk_..."

LangGraph: from verifiedx.langgraph import compile

LangGraph native adapter, few LOC:

from verifiedx import init_verifiedx, install_langgraph
from langgraph.graph import StateGraph

vx = init_verifiedx()
install_langgraph(verifiedx=vx)

builder = StateGraph(MyState)
# add nodes / edges as usual
graph = builder.compile(checkpointer=my_checkpointer, store=my_store)

That path keeps LangGraph-native capture and trigger naming for Command(update=...), graph.update_state, store.get/search/put/delete, checkpointer.put/put_writes, LangGraph tool execution through BaseTool.invoke/ainvoke, AIMessage.tool_calls, and ToolMessage.tool_call_id.

LangChain: from verifiedx.langchain import create_agent

OpenAI direct: from verifiedx import install_openai_direct

OpenAI Agents: from verifiedx import install_openai_agents

Anthropic direct: from verifiedx import install_anthropic_direct

Claude Agent SDK: from verifiedx import install_claude_agent

Doctor: verifiedx doctor

Project details


Download files

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

Source Distribution

verifiedx-0.1.6.tar.gz (141.3 kB view details)

Uploaded Source

Built Distribution

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

verifiedx-0.1.6-py3-none-any.whl (151.3 kB view details)

Uploaded Python 3

File details

Details for the file verifiedx-0.1.6.tar.gz.

File metadata

  • Download URL: verifiedx-0.1.6.tar.gz
  • Upload date:
  • Size: 141.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.8

File hashes

Hashes for verifiedx-0.1.6.tar.gz
Algorithm Hash digest
SHA256 436076c26fb8d4e40b32bc36a4b8f0787b989264bfdbae296bf342b763a6df63
MD5 727a2bd948e736e094b71e05f6ebce55
BLAKE2b-256 ff9ed9b530b480819dbaa75a3984e687449853bf0f0952878d36b8b5f142327b

See more details on using hashes here.

File details

Details for the file verifiedx-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: verifiedx-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 151.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.8

File hashes

Hashes for verifiedx-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 f9c939866b2059fb54a386976ff5668f10487153c3a422662679c4c3763da2bf
MD5 6edcc33a751bc1c26c4366de2cddc970
BLAKE2b-256 6dec4ce94e230ef163db8a0ed253f8f549630fa3c469bba3429f357adbb5bc60

See more details on using hashes here.

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