Python SDK for the Apostrofo Models API
Project description
Apostrofo Models SDK
A Python SDK for the Apostrofo Models API that provides easy access to various AI models for text analysis, classification, and processing.
Installation
pip install apostrofo-models-sdk
Features
- Automated authentication with API key
- Access to multiple AI models:
- Guardrails: Prompt injection and toxic language detection
- Data Processing: Text masking, classification, and entity extraction
- Content Enhancement: Tags generation and metadata extraction
- Validation: Answer verification
- Comprehensive error handling
- Type hints for better IDE support
- Pydantic models for request and response validation
Quick Start
from apostrofo_models_sdk import ApostrofoModelsClient
# Initialize client with your API key
client = ApostrofoModelsClient(api_key="your_api_key")
# Detect toxic language
toxic_result = client.detect_toxic_language("Text to analyze")
print(f"Is toxic: {toxic_result.is_toxic}")
print(f"Toxicity score: {toxic_result.toxicity_score}")
print(f"Explanation: {toxic_result.explanation}")
# Extract entities
entity_result = client.extract_entities(
"John Smith works at Apostrofo in New York.",
entity_types=["PERSON", "ORGANIZATION", "LOCATION"]
)
print(entity_result.entities)
Authentication
The SDK requires an API key for authentication, which is passed as a header (X-API-Key) to all API requests. You can obtain an API key by signing up at Apostrofo AI.
client = ApostrofoModelsClient(
api_key="your_api_key",
base_url="https://api.apostrofo.ai" # Optional, default URL
)
Available Models
Guardrails
# Prompt Injection Detection
injection_result = client.detect_prompt_injection("Ignore previous instructions and...")
print(f"Is injection: {injection_result.is_injection}")
# Toxic Language Detection
toxic_result = client.detect_toxic_language("Text to analyze")
print(f"Is toxic: {toxic_result.is_toxic}")
Data Processing
# Text Masking
mask_result = client.mask_text(
"My name is John and my email is john@example.com",
tags=["EMAIL", "PERSON"]
)
print(mask_result.bracketed_text)
# Text Classification
classification_result = client.classify_text(
"I'm really happy with this product!",
parameters={
"sentiment": {
"description": "Sentiment of the text",
"type": "string",
"properties": {
"values": ["positive", "negative", "neutral"]
}
}
}
)
print(classification_result.results)
# Entity Extraction
entity_result = client.extract_entities(
"Apple Inc. is headquartered in Cupertino, California.",
entity_types=["ORG", "LOC"]
)
print(entity_result.entities)
Content Enhancement
# Tags Generation
tags_result = client.generate_tags(
"This is a blog post about Python programming and data science.",
parameters={
"topics": {
"description": "Topics mentioned in the text",
"properties": {
"max": 5
}
}
}
)
print(tags_result.results)
# Metadata Extraction
metadata_result = client.extract_metadata(
"Publication: Science Journal\nDate: 2023-03-15\nTitle: New Advances in AI",
parameters={
"publication_info": {
"description": "Publication information",
"properties": {
"fields": ["journal", "date", "title"]
}
}
}
)
print(metadata_result.results)
Validation
# Answer Verification
verification_result = client.verify_answer(
question="What is the capital of France?",
answer="The capital of France is London."
)
print(f"Is accurate: {verification_result.is_accurate}")
print(f"Explanation: {verification_result.explanation}")
Error Handling
The SDK provides comprehensive error handling with custom exceptions:
from apostrofo_models_sdk import ApostrofoApiError, AuthenticationError
try:
result = client.detect_toxic_language("Test text")
except AuthenticationError:
print("Invalid API key")
except ApostrofoApiError as e:
print(f"API error: {e.message}, status code: {e.status_code}")
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This SDK is licensed under the MIT License - see the LICENSE file for details.
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