trusera-sdk 1.1.0

Python SDK for monitoring and intercepting AI agent actions with Trusera

Trusera Python SDK

Python SDK for monitoring and intercepting AI agent actions with Trusera. Track LLM invocations, tool calls, data access, and enforce Cedar security policies before actions execute.

Installation

pip install trusera-sdk

Optional Dependencies

# Framework integrations
pip install trusera-sdk[langchain]
pip install trusera-sdk[crewai]
pip install trusera-sdk[autogen]

# LLM client wrappers
pip install trusera-sdk[openai]
pip install trusera-sdk[anthropic]

# Everything
pip install trusera-sdk[all]

# Development tools
pip install trusera-sdk[dev]

Quick Start: Passive Monitoring

from trusera_sdk import TruseraClient, Event, EventType

client = TruseraClient(api_key="tsk_your_api_key")
agent_id = client.register_agent(name="my-agent", framework="custom")

client.track(Event(
    type=EventType.TOOL_CALL,
    name="web_search",
    payload={"query": "latest AI news"},
))

client.close()

Active Interception (v0.3.0+)

The SDK now supports active interception - evaluating agent actions against Cedar policies before they execute. Use intercept() for a one-liner setup, or TruseraInterceptor for full control.

intercept() - One-Liner Setup

import trusera_sdk

client = trusera_sdk.TruseraClient(api_key="tsk_...")
client.register_agent("my-agent", "custom")

# Intercept all HTTP calls (requests, httpx, urllib3)
interceptor = trusera_sdk.intercept(client, enforcement="block")

# Your agent code runs normally - policy violations raise PolicyViolationError
import requests
requests.get("https://allowed-api.com/data")  # OK
requests.get("https://blocked-api.com/data")  # Raises PolicyViolationError

interceptor.uninstall()

TruseraInterceptor - Full Control

from trusera_sdk import TruseraClient, TruseraInterceptor
from trusera_sdk.policy_cache import PolicyCache

client = TruseraClient(api_key="tsk_...")
cache = PolicyCache(client=client, refresh_interval=30)

with TruseraInterceptor(client=client, policy_cache=cache, enforcement="warn") as i:
    # All outbound HTTP is evaluated against Cedar policies
    # Warn mode logs violations but allows requests to proceed
    pass

Enforcement Modes

Mode	Behavior
block	Raise PolicyViolationError and prevent the action
warn	Log a warning to stderr, allow the action
log	Silently record the violation, allow the action

Using the Decorator

from trusera_sdk import TruseraClient, monitor, set_default_client, EventType

client = TruseraClient(api_key="tsk_your_api_key")
client.register_agent("my-agent", "custom")
set_default_client(client)

@monitor(event_type=EventType.TOOL_CALL)
def search_database(query: str) -> list[dict]:
    return [{"id": 1, "title": "Result"}]

@monitor(event_type=EventType.LLM_INVOKE, name="gpt4_call")
async def call_llm(prompt: str) -> str:
    return "AI response"

Framework Integrations

LangChain (Active Interception)

from trusera_sdk import TruseraClient
from trusera_sdk.policy_cache import PolicyCache
from trusera_sdk.integrations.langchain_interceptor import TruseraLangChainInterceptor

client = TruseraClient(api_key="tsk_...")
cache = PolicyCache(client=client)

with TruseraLangChainInterceptor(client=client, policy_cache=cache, enforcement="block"):
    # BaseTool._run and BaseLLM._generate are now policy-checked
    agent.run("Your query here")

LangChain (Passive Monitoring)

from trusera_sdk.integrations.langchain import TruseraCallbackHandler

handler = TruseraCallbackHandler(client)
llm = OpenAI(callbacks=[handler])

CrewAI (Active Interception)

from trusera_sdk.integrations.crewai_interceptor import TruseraCrewAIInterceptor

with TruseraCrewAIInterceptor(client=client, policy_cache=cache, enforcement="warn"):
    crew.kickoff()

AutoGen (Active Interception)

from trusera_sdk.integrations.autogen_interceptor import TruseraAutoGenInterceptor

interceptor = TruseraAutoGenInterceptor(client=client, policy_cache=cache, enforcement="block")
interceptor.install()

# Optionally wrap individual agent functions
interceptor.intercept_agent(my_agent)

OpenAI / Anthropic (LLM Interceptor)

from openai import OpenAI
from trusera_sdk.integrations.llm_interceptor import TruseraLLMInterceptor

llm_interceptor = TruseraLLMInterceptor(
    client=trusera_client,
    policy_cache=cache,
    enforcement="warn",
    redact_pii=True,  # Redact emails, phones, SSNs from logged prompts
)

openai_client = OpenAI()
llm_interceptor.wrap_openai(openai_client)

# Tool-use calls in responses are now policy-checked
# PII is redacted from logged prompts (never from actual API calls)

Policy Cache

The PolicyCache fetches Cedar policies from the Trusera API and evaluates them locally (<1ms). It runs a background thread to keep policies fresh.

from trusera_sdk.policy_cache import PolicyCache

cache = PolicyCache(
    client=trusera_client,
    refresh_interval=60,   # Seconds between refreshes (default: 60)
    stale_ttl=300,         # Serve stale policies for this long when API is down (default: 300)
)

# Manual cache invalidation (e.g. on webhook)
cache.invalidate()

# Clean shutdown
cache.stop()

PII Redaction

from trusera_sdk import PIIRedactor

redactor = PIIRedactor()
redactor.redact_text("Email: [e-mail]")
# => "Email: [REDACTED_EMAIL]"

redactor.redact({"user": "[e-mail]", "age": 30})
# => {"user": "[REDACTED_EMAIL]", "age": 30}

Event Types

• EventType.TOOL_CALL - Tool or function invocations
• EventType.LLM_INVOKE - LLM API calls
• EventType.DATA_ACCESS - Database queries, file reads
• EventType.API_CALL - External API requests
• EventType.FILE_WRITE - File system modifications
• EventType.DECISION - Agent decision points
• EventType.POLICY_VIOLATION - Cedar policy violations (new in 0.3.0)
• EventType.INTERCEPTION - Intercepted HTTP requests (new in 0.3.0)

Migration from v0.2 to v0.3

v0.3.0 is fully backward compatible. All existing monitor(), TruseraClient, and StandaloneInterceptor APIs work unchanged.

New in v0.3.0:

• TruseraInterceptor - Multi-library HTTP interceptor (requests + httpx + urllib3)
• intercept() - One-liner convenience function
• PolicyCache - Background-refreshing policy cache
• PolicyViolationError - Typed exception for blocked actions
• EnforcementMode - Enum for block/warn/log
• PIIRedactor - PII detection and redaction
• Framework interceptors: LangChain, CrewAI, AutoGen, OpenAI/Anthropic
• New event types: POLICY_VIOLATION, INTERCEPTION

Configuration

client = TruseraClient(
    api_key="tsk_your_api_key",
    base_url="https://api.trusera.dev",
    flush_interval=5.0,
    batch_size=100,
    timeout=10.0,
)

Development

git clone https://github.com/Trusera/ai-bom.git
cd ai-bom/trusera-agent-sdk
pip install -e ".[dev]"
pytest
ruff check .

Documentation

Full documentation at docs.trusera.dev/sdk/python

Support

• Website: trusera.dev
• Documentation: docs.trusera.dev
• Issues: GitHub Issues
• Email: [e-mail]

License

Apache License 2.0 - see LICENSE file for details.