├── LICENSE ├── .python-version ├── tests └── __init__.py ├── src └── soteria_sdk │ ├── exceptions.py │ ├── __init__.py │ ├── decorators.py │ └── client.py ├── .gitignore ├── pyproject.toml ├── README.md └── uv.lock /LICENSE: -------------------------------------------------------------------------------- 1 | # TODO: Add me -------------------------------------------------------------------------------- /.python-version: -------------------------------------------------------------------------------- 1 | 3.11 2 | -------------------------------------------------------------------------------- /tests/__init__.py: -------------------------------------------------------------------------------- 1 | # Tests for soteria-sdk should come in here -------------------------------------------------------------------------------- /src/soteria_sdk/exceptions.py: -------------------------------------------------------------------------------- 1 | 2 | class SoteriaValidationError(Exception): 3 | """Raised when an input prompt is blocked by a Guard.""" 4 | ... -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Python-generated files 2 | __pycache__/ 3 | *.py[oc] 4 | build/ 5 | dist/ 6 | wheels/ 7 | *.egg-info 8 | 9 | # Virtual environments 10 | .venv 11 | test 12 | debug_imports.py 13 | main.py 14 | .env 15 | 16 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "soteria-sdk" 3 | version = "0.1.3" 4 | description = "A lightweight SDK to use Soteria's firewall" 5 | license = {text = "MIT"} 6 | readme = "README.md" 7 | requires-python = ">=3.11" 8 | dependencies = [ 9 | "requests>=2.32.5", 10 | ] 11 | 12 | classifiers = [ 13 | "Programming Language :: Python :: 3", 14 | "License :: OSI Approved :: MIT License", 15 | "Operating System :: OS Independent", 16 | ] 17 | 18 | [build-system] 19 | requires = ["uv_build>=0.8.13,<0.9.0"] 20 | build-backend = "uv_build" 21 | 22 | [dependency-groups] 23 | dev = [ 24 | "ruff>=0.12.11", 25 | ] 26 | -------------------------------------------------------------------------------- /src/soteria_sdk/__init__.py: -------------------------------------------------------------------------------- 1 | # File: soteria_sdk/__init__.py 2 | 3 | from soteria_sdk.client import configure 4 | from soteria_sdk.exceptions import SoteriaValidationError 5 | from soteria_sdk.decorators import guard_prompt 6 | 7 | # -- Redaction Guards -- 8 | guard_pii_redactor = guard_prompt(guard_name="pii-redactor", prompt_arg="prompt") 9 | guard_secrets_redactor = guard_prompt(guard_name="secrets-redactor", prompt_arg="prompt") 10 | 11 | 12 | # -- Blocking Guards -- 13 | guard_jailbreak = guard_prompt(guard_name="jailbreak-detector", prompt_arg="prompt") 14 | guard_prompt_injection = guard_prompt(guard_name="prompt-injection-detector", prompt_arg="prompt") 15 | 16 | 17 | __all__ = [ 18 | "configure", 19 | "guard_prompt", 20 | "SoteriaValidationError", 21 | # Pre-configured decorators (The "menu") 22 | "guard_pii_redactor", 23 | "guard_secrets_redactor", 24 | "guard_jailbreak", 25 | "guard_prompt_injection" 26 | ] -------------------------------------------------------------------------------- /src/soteria_sdk/decorators.py: -------------------------------------------------------------------------------- 1 | from functools import wraps 2 | from typing import Callable, Any 3 | 4 | from soteria_sdk.client import make_request 5 | from soteria_sdk.exceptions import SoteriaValidationError 6 | 7 | def guard_prompt(guard_name: str, prompt_arg: str) -> Callable: 8 | """ 9 | Decorator factory to apply a remote Guard to a function's argument. 10 | """ 11 | def decorator(func: Callable) -> Callable: 12 | @wraps(func) 13 | def wrapper(*args, **kwargs) -> Any: 14 | prompt: Any = kwargs.get(prompt_arg) 15 | if prompt is None: 16 | raise ValueError(f"Argument '{prompt_arg}' not found in function call.") 17 | 18 | outcome = make_request(prompt=prompt, guard_name=guard_name, metadata={}) 19 | 20 | if not outcome.get("is_valid"): 21 | raise SoteriaValidationError( 22 | f"Input prompt was blocked by Guard '{guard_name}'. " 23 | f"Summary: {outcome.get('validation_summaries')}" 24 | ) 25 | 26 | kwargs[prompt_arg] = outcome.get("processed_prompt") 27 | 28 | return func(*args, **kwargs) 29 | return wrapper 30 | return decorator -------------------------------------------------------------------------------- /src/soteria_sdk/client.py: -------------------------------------------------------------------------------- 1 | import requests 2 | 3 | _api_key: str = "" 4 | _api_base: str ="" 5 | 6 | def configure(api_key: str, api_base: str): 7 | """ 8 | Configure the SDK with your API key and base URL. 9 | 10 | Args: 11 | api_key: Your API key from the web app. 12 | api_base: The base URL of the API service. 13 | 14 | Example: 15 | soteria.configure( 16 | api_key="your-api-key", 17 | api_base="htpps://api.soteriainfra.com" 18 | ) 19 | """ 20 | global _api_key, _api_base 21 | _api_key = api_key 22 | _api_base = api_base 23 | 24 | def make_request(prompt: str, guard_name: str, metadata: dict) -> dict: 25 | """Internal function to make the API call.""" 26 | global _api_key, _api_base 27 | 28 | if not _api_key or not _api_base: 29 | raise ValueError("SDK not configured. Please run soteria.configure(api_key=..., api_base=...) first.") 30 | 31 | headers = {"X-API-Key": _api_key} 32 | payload = {"prompt": prompt, "guard_name": guard_name, "metadata": metadata} 33 | 34 | try: 35 | response = requests.post(f"{_api_base}/process", json=payload, headers=headers) 36 | response.raise_for_status() 37 | return response.json() 38 | except requests.exceptions.HTTPError as e: 39 | raise ConnectionError(f"API request failed: {e.response.status_code} - {e.response.text}") from e 40 | except requests.exceptions.RequestException as e: 41 | raise ConnectionError(f"Could not connect to the API service at {_api_base}. Details: {e}") from e -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Soteria SDK Documentation 2 | 3 | This document provides an in-depth guide to using the Soteria SDK for Python, focusing on its capabilities for input processing, sanitization, and validation of prompts before they are sent to Large Language Models (LLMs). 4 | 5 | ## 1. Introduction to Soteria SDK 6 | 7 | The Soteria SDK is designed to act as a robust firewall and pre-processor for your LLM inputs. It allows developers to define and apply a series of "guards" (validators) to incoming prompts, ensuring they meet specific criteria, are free from sensitive information, or do not attempt to circumvent LLM safety measures. 8 | 9 | The SDK operates on a client-server architecture: 10 | - **Client-side (SDK)**: Your application integrates with the Soteria SDK, which provides convenient decorators and functions to apply guards to your prompts. The SDK sends prompts to a Soteria AI server for processing. 11 | 12 | ```bash 13 | uv add soteria-sdk 14 | ``` 15 | 16 | ## 2. Configuration 17 | 18 | Before using the Soteria SDK, you need to configure it with your API key and the base URL of the Soteria AI service. 19 | 20 | ### Using `soteria_sdk.configure()` 21 | 22 | The primary way to configure the SDK is by calling the `soteria_sdk.configure()` function: 23 | 24 | ```python 25 | 26 | import soteria_sdk 27 | 28 | # Configure with your API key and optionally a custom API base URL 29 | soteria_sdk.configure(api_key="YOUR_API_KEY_HERE", api_base="https://api.soteriainfra.com") 30 | ``` 31 | 32 | - `api_key` (required): Your unique API key obtained from the Soteria web application. This authenticates your requests to the Soteria AI server. 33 | - `api_base` (required): The base URL of the Soteria AI service. 34 | 35 | ### Using Environment Variables 36 | 37 | Alternatively, you can configure the API key using the `SOTERIA_API_KEY` environment variable. This is particularly useful for deployment environments where you don't want to hardcode credentials in your code. 38 | 39 | ```bash 40 | export SOTERIA_API_KEY="YOUR_API_KEY_HERE" 41 | ``` 42 | 43 | If both `soteria_sdk.configure()` and the environment variable are set, the value provided to `configure()` will take precedence. 44 | 45 | ## 3. Basic Setup and Usage 46 | 47 | The Soteria SDK provides a convenient `@guard_prompt` decorator to easily integrate prompt validation into your Python functions. 48 | 49 | ### The `@guard_prompt` Decorator 50 | 51 | The Soteria SDK provides ready-to-use decorators for common validation scenarios. These decorators are pre-configured with specific guard names and expect your function to have a parameter named `@prompt`. 52 | 53 | When a function decorated with a pre-configured guard is called, the SDK automatically: 54 | 55 | - Intercepts the prompt argument 56 | - Sends it to the Soteria server for processing by the specified guard 57 | - Either allows the (potentially modified) prompt to proceed or raises a `SoteriaValidationError` 58 | 59 | ### Example Usage 60 | 61 | Here's a basic example of how to use a pre-configured guard: 62 | 63 | ```python 64 | 65 | import soteria_sdk 66 | 67 | # 1. Configure Soteria (replace with your actual API key) 68 | soteria_sdk.configure(api_key="YOUR_API_KEY_HERE", api_base="https://api.soteriainfra.com") 69 | 70 | 71 | # 2. Define a function that sends a prompt to an LLM 72 | # Apply the guard_pii decorator to the 'user_prompt' argument 73 | @soteria_sdk.guard_pii 74 | def send_to_llm(prompt: str): 75 | """ 76 | Simulates sending a prompt to an LLM. 77 | The 'guard_pii' guard will redact PII from 'user_prompt' before this function runs. 78 | """ 79 | print(f"Sending to LLM: {prompt}") 80 | # In a real application, you would call your LLM API here 81 | return f"LLM response to: {prompt}" 82 | 83 | 84 | # Example calls 85 | try: 86 | # This prompt contains PII (email address) 87 | response1 = send_to_llm(prompt="My email is john.doe@example.com. What's the weather like?") 88 | print(f"Response 1: {response1}") 89 | 90 | # This prompt is clean 91 | response2 = send_to_llm(prompt="Tell me a joke.") 92 | print(f"Response 2: {response2}") 93 | 94 | except soteria_sdk.SoteriaValidationError as e: 95 | print(f"Validation Error: {e}") 96 | print(f"Validation Summary: {e.validation_summaries}") 97 | except ConnectionError as e: 98 | print(f"Connection Error: {e}") 99 | ``` 100 | 101 | ## 4. Pre-configured Features (Firewall) 102 | 103 | The Soteria SDK comes with several pre-configured decorators for common use cases. These decorators correspond to specific guard pipelines that are expected to be available on the Soteria AI server. 104 | 105 | ### Redaction Firewall 106 | 107 | These firewalls are designed to identify and remove or mask sensitive information from prompts. If a redaction guard fails, it typically modifies the `processed_prompt` and allows the execution to continue. 108 | 109 | - `guard_pii`: Redacts Personally Identifiable Information (PII) from the prompt. 110 | - `guard_secrets`: Masks sensitive secrets (e.g., API keys, credentials) from the prompt. 111 | 112 | ### Blocking Firewall 113 | 114 | These firewalls are designed to prevent prompts from proceeding if they violate certain safety or content policies. If a blocking guard fails, it typically raises a `SoteriaValidationError`. 115 | 116 | - `guard_profanity`: Blocks prompts containing profane language. 117 | - `guard_jailbreak`: Detects and blocks prompts attempting to circumvent LLM safety mechanisms or extract sensitive information. 118 | - `guard_unusual_prompt`: Identifies and blocks prompts that are statistically unusual or out of distribution compared to expected inputs. 119 | - `guard_database_injection`: Detects and blocks prompts attempting to add malicious data into the database by unauthorized users. 120 | 121 | ### Combined Pipeline Firewall 122 | 123 | These firewalls represent a combination of multiple validators, forming a comprehensive security or content policy pipeline. 124 | 125 | - `guard_standard_security`: A pre-defined pipeline that combines common security-focused guards (e.g., PII, secrets, jailbreak, profanity). 126 | 127 | ### Formatting Firewall 128 | 129 | These firewalls enforce specific formatting or structural constraints on the prompt. 130 | 131 | - `guard_two_words`: Ensures the prompt consists of exactly two words. 132 | - `guard_short_length`: Ensures the prompt's length is below a certain threshold. 133 | 134 | ## 5. Error Handling 135 | 136 | Effective error handling is crucial when integrating Soteria into your application. The SDK provides a specific exception for validation failures. 137 | 138 | ### Catching `SoteriaValidationError` 139 | 140 | When a prompt fails validation due to a `BLOCK` or `EXCEPTION` `on_fail` action configured for a validator on the server, the `@guard_prompt` decorator raises a `soteria.SoteriaValidationError`. You should wrap your guarded function calls in `try...except` blocks to gracefully handle these scenarios. 141 | 142 | ```python 143 | 144 | import soteria_sdk 145 | 146 | soteria_sdk.configure(api_key="YOUR_API_KEY_HERE", api_base="https://api.soteriainfra.com") 147 | 148 | 149 | @soteria_sdk.guard_profanity 150 | def send_message(prompt: str): 151 | print(f"Sending message: {prompt}") 152 | 153 | 154 | try: 155 | send_message(prompt="Hello, world!") 156 | send_message(prompt="This is a bad word.") # This will trigger the error 157 | except soteria_sdk.SoteriaValidationError as e: 158 | print("\n--- Soteria Validation Error Caught ---") 159 | print(f"Error Message: {e}") 160 | print(f"Detailed Summaries: {e.validation_summaries}") 161 | print("The prompt was blocked or caused an exception on the server.") 162 | except ConnectionError as e: 163 | print(f"Failed to connect to Soteria server: {e}") 164 | ``` -------------------------------------------------------------------------------- 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