Python SDK

# Core SDK (requires Python 3.10+)
pip install vorim

# With framework integrations (quote the extras so zsh doesn't expand the brackets)
pip install "vorim[langchain]"    # LangChain / LangGraph
pip install "vorim[crewai]"       # CrewAI
pip install "vorim[openai]"       # OpenAI Agents SDK
pip install "vorim[anthropic]"    # Anthropic / Claude
pip install "vorim[all]"          # All integrations

from vorim import Vorim

vorim = Vorim(api_key="agid_sk_live_...")

# Register an agent
result = vorim.register(
    name="invoice-processor",
    capabilities=["read_documents", "extract_data"],
    scopes=["agent:read", "agent:execute"],
)

# Check permissions (<5ms via Redis)
check = vorim.check(result.agent.agent_id, "agent:execute")

if check.allowed:
    # Emit audit event
    vorim.emit(
        agent_id=result.agent.agent_id,
        event_type="tool_call",
        action="process_invoice",
        result="success",
        latency_ms=142,
    )

# Verify any agent's trust (public, no auth required)
trust = vorim.verify(result.agent.agent_id)
print(f"Trust score: {trust.trust_score}/100")

import asyncio
from vorim import AsyncVorim

async def main():
    async with AsyncVorim(api_key="agid_sk_live_...") as vorim:
        result = await vorim.register(
            name="async-agent",
            capabilities=["search"],
            scopes=["agent:read"],
        )
        print(result.agent.agent_id)

asyncio.run(main())

from vorim import Vorim
from vorim.integrations.langchain import vorim_tool, VorimCallbackHandler

vorim = Vorim(api_key="agid_sk_live_...")

@vorim_tool(vorim, agent_id="agid_acme_...", permission="agent:execute")
def search(query: str) -> str:
    """Search documents."""
    return f"Results for {query}"

# search() is now a standard LangChain tool with Vorim permission checks + audit

from vorim import Vorim
from vorim.integrations.crewai import register_crew

vorim = Vorim(api_key="agid_sk_live_...")

crew = register_crew(vorim, {
    "crew_name": "content-pipeline",
    "members": [
        {
            "role": "researcher",
            "name": "crew-researcher",
            "capabilities": ["web_search"],
            "scopes": ["agent:read", "agent:execute"],
        },
    ],
})

from openai import OpenAI
from vorim import Vorim
from vorim.integrations.openai_agents import VorimToolRegistry

vorim = Vorim(api_key="agid_sk_live_...")
client = OpenAI()

registry = VorimToolRegistry(vorim=vorim, agent_id="agid_acme_...")
registry.add(
    name="search",
    description="Search documents",
    parameters={"type": "object", "properties": {"query": {"type": "string"}}},
    execute=lambda args: f"Results for {args['query']}",
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Search for AI papers"}],
    tools=registry.to_openai_tools(),
)

tool_messages = registry.execute_tool_calls(
    response.choices[0].message.tool_calls or []
)