llmverify 0.0.1

LLM Hallucination & Drift Detection — Verify LLM outputs for accuracy, consistency, and reliability

LLMCheck

LLM Hallucination & Drift Detection — Coming Soon

A Python toolkit to verify LLM outputs for hallucinations, factual accuracy, and model drift over time.

---

What This Package Is

LLMCheck is an upcoming utility package designed to help developers:

• Detect hallucinations in LLM-generated content
• Verify factual accuracy against source documents
• Monitor model drift across deployments and versions
• Score output reliability for production systems
• Alert on consistency degradation in LLM pipelines

This package is being developed by Haiec as part of a broader AI governance infrastructure.

---

Why This Namespace Exists

The llmverify namespace is reserved to provide developers with essential LLM quality assurance tools. As LLMs become critical infrastructure, verifying their outputs is non-negotiable.

This package will provide:

• Hallucination scoring algorithms
• Source-grounded verification
• Temporal drift analysis
• Confidence calibration utilities
• Integration with popular LLM frameworks (LangChain, LlamaIndex)
• Real-time monitoring hooks

---

Installation

pip install llmcheck

---

Placeholder Example

import llmcheck

# Check package status
print(llmcheck.__version__)  # '0.0.1'
print(llmcheck.__status__)   # 'placeholder'

# Detect hallucination (placeholder)
result = llmcheck.detect_hallucination(
    output="LLM generated this output",
    context="Original source context"
)
print(result["message"])

# Detect drift (placeholder)
drift_result = llmcheck.detect_drift([
    "output from day 1",
    "output from day 2",
    "output from day 3"
])
print(drift_result["message"])

---

Roadmap

• Hallucination detection engine
• Source-grounded verification
• Semantic drift scoring
• Confidence calibration
• LangChain integration
• LlamaIndex integration
• Real-time monitoring API
• Alerting webhooks
• Dashboard visualization hooks

---

License

MIT © 2025 Haiec

---

Contact

For early access or partnership inquiries, reach out to the Haiec team.