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.
pip install air-blackbox-sdkWith 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] # Everythingfrom 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 trailfrom 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 toolsfrom 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 AIRfrom 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")| 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 |
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
This SDK is the developer entry point to the AIR Blackbox Gateway infrastructure:
| Component | What It Does |
|---|---|
| air-sdk-python (this repo) | Python integrations for OpenAI, LangChain, CrewAI |
| air-blackbox-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 |
Apache-2.0