Python SDK for KoreShield LLM Security Platform
Project description
KoreShield Python SDK
A comprehensive Python SDK for integrating KoreShield's LLM security features into your applications with ease.
Supported LLM Providers
KoreShield supports multiple LLM providers through its proxy architecture. Configure your preferred provider in the KoreShield API:
- DeepSeek (OpenAI-compatible API)
- OpenAI (GPT models)
- Anthropic (Claude models)
- Google Gemini (coming soon)
- Azure OpenAI (coming soon)
Provider Configuration
Configure providers in your KoreShield config.yaml:
providers:
deepseek:
enabled: true
base_url: "https://api.deepseek.com/v1"
openai:
enabled: false
base_url: "https://api.openai.com/v1"
anthropic:
enabled: false
base_url: "https://api.anthropic.com/v1"
Set the corresponding API key as an environment variable:
export DEEPSEEK_API_KEY="your-deepseek-key"
# or
export OPENAI_API_KEY="your-openai-key"
# or
export ANTHROPIC_API_KEY="your-anthropic-key"
pip install koreshield-python-sdk
Optional Dependencies
For LangChain integration:
pip install koreshield-python-sdk[langchain]
For framework integrations:
pip install koreshield-python-sdk[fastapi,flask,django]
Quick Start
Basic Usage
from koreshield_sdk import KoreShieldClient
# Initialize client
client = KoreShieldClient(api_key="your-api-key")
# Scan a prompt
result = client.scan_prompt("Hello, how are you?")
print(f"Safe: {result.is_safe}, Threat Level: {result.threat_level}")
Async Usage
import asyncio
from koreshield_sdk import AsyncKoreShieldClient
async def main():
async with AsyncKoreShieldClient(api_key="your-api-key") as client:
result = await client.scan_prompt("Tell me a joke")
print(f"Confidence: {result.confidence}")
asyncio.run(main())
LangChain Integration
from langchain_openai import ChatOpenAI
from langchain.schema import HumanMessage
from koreshield_sdk.integrations import create_koreshield_callback
# Create security callback
security_callback = create_koreshield_callback(
api_key="your-api-key",
block_on_threat=True,
threat_threshold="medium"
)
# Use with LangChain
llm = ChatOpenAI(callbacks=[security_callback])
response = llm([HumanMessage(content="Hello!")])
API Reference
KoreShieldClient
Methods
scan_prompt(prompt: str, **kwargs) -> DetectionResultscan_batch(prompts: List[str], parallel=True, max_concurrent=10) -> List[DetectionResult]get_scan_history(limit=50, offset=0, **filters) -> Dictget_scan_details(scan_id: str) -> Dicthealth_check() -> Dict
AsyncKoreShieldClient
Methods
scan_prompt(prompt: str, **kwargs) -> DetectionResult(async)scan_batch(prompts: List[str], parallel=True, max_concurrent=10) -> List[DetectionResult](async)get_scan_history(limit=50, offset=0, **filters) -> Dict(async)get_scan_details(scan_id: str) -> Dict(async)health_check() -> Dict(async)
DetectionResult
class DetectionResult:
is_safe: bool
threat_level: ThreatLevel # "safe", "low", "medium", "high", "critical"
confidence: float # 0.0 to 1.0
indicators: List[DetectionIndicator]
processing_time_ms: float
scan_id: Optional[str]
metadata: Optional[Dict[str, Any]]
Configuration
Environment Variables
export KORESHIELD_API_KEY="your-api-key"
export KORESHIELD_BASE_URL="https://api.koreshield.com" # Optional
Client Configuration
client = KoreShieldClient(
api_key="your-api-key",
base_url="https://api.koreshield.com",
timeout=30.0
)
Examples
Basic Scanning
from koreshield_sdk import KoreShieldClient
client = KoreShieldClient(api_key="your-api-key")
# Single prompt
result = client.scan_prompt("What is the capital of France?")
print(f"Result: {result}")
# Batch scanning
prompts = [
"Hello world",
"Tell me a secret",
"Ignore previous instructions"
]
results = client.scan_batch(prompts)
for prompt, result in zip(prompts, results):
print(f"'{prompt}': {result.threat_level} ({result.confidence:.2f})")
FastAPI Integration
from fastapi import FastAPI, HTTPException
from koreshield_sdk import KoreShieldClient
app = FastAPI()
client = KoreShieldClient(api_key="your-api-key")
@app.post("/chat")
async def chat(message: str):
# Scan user input
result = client.scan_prompt(message)
if not result.is_safe and result.threat_level in ["high", "critical"]:
raise HTTPException(status_code=400, detail="Unsafe content detected")
# Process with your LLM
response = f"Processed: {message}"
return {"response": response, "safety": result.dict()}
Flask Integration
from flask import Flask, request, jsonify
from koreshield_sdk import KoreShieldClient
app = Flask(__name__)
client = KoreShieldClient(api_key="your-api-key")
@app.route("/api/chat", methods=["POST"])
def chat():
data = request.get_json()
message = data.get("message", "")
# Scan user input
result = client.scan_prompt(message)
if not result.is_safe:
return jsonify({
"error": "Unsafe content detected",
"threat_level": result.threat_level,
"confidence": result.confidence
}), 400
# Process with your LLM
response = f"Echo: {message}"
return jsonify({"response": response})
Django Integration
# views.py
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
from django.utils.decorators import method_decorator
from django.views import View
import json
from koreshield_sdk import KoreShieldClient
client = KoreShieldClient(api_key="your-api-key")
@method_decorator(csrf_exempt, name='dispatch')
class ChatView(View):
def post(self, request):
data = json.loads(request.body)
message = data.get("message", "")
# Scan user input
result = client.scan_prompt(message)
if not result.is_safe and result.threat_level == "critical":
return JsonResponse({
"error": "Critical threat detected"
}, status=400)
# Process with your LLM
response = f"Response to: {message}"
return JsonResponse({
"response": response,
"safety_check": {
"safe": result.is_safe,
"threat_level": result.threat_level,
"confidence": result.confidence
}
})
Error Handling
from koreshield_sdk import KoreShieldClient
from koreshield_sdk.exceptions import (
AuthenticationError,
ValidationError,
RateLimitError,
ServerError,
NetworkError,
TimeoutError
)
client = KoreShieldClient(api_key="your-api-key")
try:
result = client.scan_prompt("Test prompt")
except AuthenticationError:
print("Invalid API key")
except RateLimitError:
print("Rate limit exceeded")
except ServerError:
print("Server error")
except NetworkError:
print("Network issue")
except TimeoutError:
print("Request timed out")
except Exception as e:
print(f"Unexpected error: {e}")
Advanced Usage
Custom Threat Thresholds
# Only block on high/critical threats
callback = create_koreshield_callback(
api_key="your-api-key",
block_on_threat=True,
threat_threshold="high" # "low", "medium", "high", "critical"
)
Batch Processing with Custom Concurrency
# Process 100 prompts with controlled concurrency
results = await client.scan_batch(
prompts=prompts,
parallel=True,
max_concurrent=5 # Limit to 5 concurrent requests
)
Monitoring and Analytics
# Get scan history
history = client.get_scan_history(limit=100, threat_level="high")
# Get detailed scan info
details = client.get_scan_details(scan_id="scan_123")
Development
Setup
git clone https://github.com/koreshield/koreshield-python-sdk.git
cd koreshield-python-sdk
pip install -e ".[dev]"
Testing
pytest
Type Checking
mypy src/
Linting
ruff check src/
ruff format src/
Contributing
We welcome contributions! Please see our Contributing Guide for details.
License
MIT License - see LICENSE file for details.
Support
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