Provider Tracking
Track fingerprint changes over time across different providers for each model.
Fingerprint History
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Model Cards
Track updates and changes to model and system card documentation.
Model Card History
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Usage
Getting Started
Learn how to use stampr_ai to verify AI model identities in your applications. This guide covers installation, basic usage, and advanced features.
Installation
Install the stampr_ai package using pip:
pip install stampr-ai --preBasic Usage
Basic Model Verification
Verify that a model is what it claims to be:
from stampr_ai import verify_model
# Verify a model is what it claims to be
result = verify_model("gpt-4o", "OpenAI", api_key)
print(f"Model verified: {result['verified']}")
print(f"Fingerprint: {result.get('matched_hash', 'N/A')}")
print(f"Mode: {result['mode']}")
Verify Against Specific Fingerprint
Check if a model matches a specific fingerprint:
# Verify model matches a specific fingerprint hash
result = verify_model("gpt-4o:bede20", "OpenAI", api_key)
if result['verified']:
print("Fingerprint Verified.")
else:
print("Fingerprint mismatch!")
Latest Fingerprint Check
Verify against only the most recent fingerprint:
# Check against the most recent fingerprint only
result = verify_model("gpt-4o:latest", "OpenAI", api_key)
print(f"Latest fingerprint verified: {result['verified']}")
print(f"Fingerprint: {result.get('matched_hash')}")
Command Line Usage
You can also use stampr_ai directly from the command line:
Setup Your API Key
# Set your API key as an environment variable
export OPENAI_API_KEY=your_key_hereCommand Examples
# Basic verification
stampr gpt-4o OpenAI
# Verify latest fingerprint only
stampr gpt-4o:latest OpenAI
# Verify specific fingerprint with verbose output
stampr "gpt-4o:bede20" OpenAI --verboseUnderstanding Results
The verification result contains several important fields:
- verified: Boolean indicating if the model fingerprint was verified
- matched_hash: The fingerprint that was matched (if verification succeeded)
- mode: The verification mode used (e.g., "latest", "specific", or "any")
- timestamp: When the matched fingerprint was collected
About stampr_ai
What is stampr_ai?
stampr_ai is a tool for extracting and tracking AI model fingerprints in a blackbox manner. It monitors model behavior, detects changes, and ensures consistency across different providers.
The tool consists of two main components: a web-based tracker for monitoring model fingerprints over time, and a Python package for verifying model identities in your applications.
How It Works
- Fingerprint Generation: Our private collector generates unique fingerprints for AI models by analyzing their output patterns
- Public Verification: The pip package compares your models against our verified fingerprints to confirm their identity
- Change Detection: The website tracks and displays model changes over time, helping you stay informed about updates
Components
Web Tracker
This tracker page provides:
- Visualization of current model fingerprints
- Historical tracking of model changes
- Change detection and notifications (soon!)
Python Package
The pip package allows you to:
- Verify model identities programmatically
- Integrate model verification into your workflows
- Check against specific fingerprint versions
pip install stampr-ai --preContact
Questions? Collaboration ideas? We'd love to hear from you.