air-blackbox-sdk 0.1.1

Python SDK for AIR Blackbox Gateway — record, replay, and govern every AI decision

AIR SDK for Python

Record every AI decision your agents make. One line of code.

AIR SDK connects your Python AI applications to the AIR Blackbox Gateway — giving you tamper-evident audit trails, compliance reporting, and deterministic replay without changing how you write code.

Install

pip install air-blackbox-sdk

With framework extras:

pip install air-blackbox-sdk[openai]      # OpenAI integration
pip install air-blackbox-sdk[langchain]   # LangChain integration
pip install air-blackbox-sdk[crewai]      # CrewAI integration
pip install air-blackbox-sdk[all]         # Everything

Quickstart

OpenAI (3 lines)

from openai import OpenAI
import air

client = air.air_wrap(OpenAI())

response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "What is a flight recorder?"}],
)
print(response.choices[0].message.content)
# Every call recorded with tamper-evident audit trail

LangChain (2 lines)

from air.integrations.langchain import air_langchain_llm

llm = air_langchain_llm("gpt-4o-mini")
response = llm.invoke("Explain tamper-evident logging.")
print(response.content)
# Works with chains, agents, and tools

CrewAI (swap one import)

from crewai import Agent, Task, Crew
from air.integrations.crewai import air_crewai_llm

llm = air_crewai_llm("gpt-4o-mini")
agent = Agent(role="Researcher", goal="Find facts", llm=llm)
task = Task(description="Research AI safety", agent=agent,
            expected_output="A brief report.")
crew = Crew(agents=[agent], tasks=[task])
crew.kickoff()
# Every agent LLM call recorded in AIR

Direct Client

from air import AIRClient

with AIRClient() as client:
    # Chat through the gateway
    result = client.chat(
        messages=[{"role": "user", "content": "Hello"}],
        model="gpt-4o-mini",
    )
    print(result["_air"]["run_id"])  # Your audit trail ID

    # Check compliance status
    audit = client.audit(gateway_key="your-key")

    # Export signed evidence for regulators
    evidence = client.export_evidence(gateway_key="your-key")

Configuration

Environment Variable	Default	Description
AIR_GATEWAY_URL	http://localhost:8080	AIR gateway URL
OPENAI_API_KEY	(none)	Your LLM provider API key
AIR_TIMEOUT	120	Request timeout in seconds

What You Get

When your code runs through AIR, every LLM call automatically gets:

• Tamper-evident audit trail — HMAC-SHA256 chain, modify one record and the chain breaks
• Vault-backed content — prompts and completions in your S3/MinIO, not third-party clouds
• Compliance reporting — 22 controls across SOC 2 and ISO 27001, auto-evaluated
• Signed evidence export — hand your auditor a single JSON document
• Deterministic replay — reproduce any AI decision from the audit record

Part of the AIR Ecosystem

This SDK is the developer entry point to the AIR Blackbox Gateway infrastructure:

Component	What It Does
python-sdk (this repo)	Python integrations for OpenAI, LangChain, CrewAI
gateway	Core proxy + vault + audit chain + compliance
air-platform	Docker Compose orchestration
agent-episode-store	Episode-level audit grouping
agent-policy-engine	Risk-tiered autonomy + runtime policy

License

Apache-2.0