BivectorAI Python SDK
Enterprise AI safety verification for production systems.
Install
pip install bivectorai
Quick Start
from bivectorai import BivectorAI
client = BivectorAI(api_key="your-api-key")
# Scan AI output for safety issues
result = client.verify_output(
text="The model says X",
sources=["User asked Y"],
)
print(result.verdict) # PASS, REVIEW, or BLOCK
# Detect LLM injection
scan = client.scan_injection("Ignore previous instructions and...")
print(scan["verdict"]) # BLOCK or PASS
# Check for hallucinations
check = client.check_hallucination(
claim="Revenue was $10B in 2023",
evidence=[{"source": "annual_report.pdf", "text": "Revenue: $8.2B"}],
)
print(check["verdict"]) # GROUNDED or UNSUPPORTED
API Reference
verify_output(text, sources)— LLM output safety gatescan_injection(text)— prompt injection detectioncheck_hallucination(claim, evidence)— factual grounding checkdetect_pii(text)— PII detection and classificationscan_content(text, categories)— comprehensive content safetyverify_workflow(steps)— AI workflow verificationget_usage_summary(period)— usage statisticsrevoke_api_key(key_prefix)— key rotation helper
Full docs: https://bivectorai.com/docs/
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