veris-ai 1.0.0

A Python package for Veris AI tools

Veris AI Python SDK

A Python package for Veris AI tools with simulation capabilities and FastAPI MCP (Model Context Protocol) integration.

Installation

You can install the package using uv:

# Install the package
uv add veris-ai

# Install with development dependencies
uv add "veris-ai[dev]"

# Install with FastAPI MCP integration
uv add "veris-ai[fastapi]"

Environment Setup

The package requires the following environment variables:

# Required: URL for the mock endpoint
VERIS_MOCK_ENDPOINT_URL=http://your-mock-endpoint.com

# Optional: Timeout in seconds (default: 30.0)
VERIS_MOCK_TIMEOUT=30.0

# Optional: Set to "simulation" to enable mock mode
ENV=simulation

Python Version

This project requires Python 3.11 or higher. We use pyenv for Python version management.

To set up the correct Python version:

# Install Python 3.11.0 using pyenv
pyenv install 3.11.0

# Set the local Python version for this project
pyenv local 3.11.0

Usage

from veris_ai import veris

@veris.mock()
async def your_function(param1: str, param2: int) -> dict:
    """
    Your function documentation here.
    
    Args:
        param1: Description of param1
        param2: Description of param2
        
    Returns:
        A dictionary containing the results
    """
    # Your implementation here
    return {"result": "actual implementation"}

When ENV=simulation is set, the decorator will:

1. Capture the function signature, type hints, and docstring
2. Send this information to the mock endpoint
3. Convert the mock response to the expected return type
4. Return the mock result

When not in simulation mode, the original function will be executed normally.

FastAPI MCP Integration

The SDK provides integration with FastAPI applications through the Model Context Protocol (MCP). This allows your FastAPI endpoints to be exposed as MCP tools that can be used by AI agents.

from fastapi import FastAPI
from veris_ai import veris

app = FastAPI()

# Set up FastAPI MCP with automatic session handling
veris.set_fastapi_mcp(
    fastapi=app,
    name="My API Server",
    description="My FastAPI application exposed as MCP tools",
    describe_all_responses=True,
    include_operations=["get_users", "create_user"],
    exclude_tags=["internal"]
)

# The MCP server is now available at veris.fastapi_mcp
mcp_server = veris.fastapi_mcp

Configuration Options

The set_fastapi_mcp() method accepts the following parameters:

• fastapi (required): Your FastAPI application instance
• name: Custom name for the MCP server (defaults to app.title)
• description: Custom description (defaults to app.description)
• describe_all_responses: Whether to include all response schemas in tool descriptions
• describe_full_response_schema: Whether to include full JSON schema for responses
• http_client: Optional custom httpx.AsyncClient instance
• include_operations: List of operation IDs to include as MCP tools
• exclude_operations: List of operation IDs to exclude (can't use with include_operations)
• include_tags: List of tags to include as MCP tools
• exclude_tags: List of tags to exclude (can't use with include_tags)
• auth_config: Optional FastAPI MCP AuthConfig for custom authentication

Session Management

The SDK automatically handles session management through OAuth2 authentication:

• Session IDs are extracted from bearer tokens
• Context is maintained across API calls
• Sessions can be managed programmatically:

# Get current session ID
session_id = veris.session_id

# Set a new session ID
veris.set_session_id("new-session-123")

# Clear the session
veris.clear_session_id()

Project Structure

src/veris_ai/
├── __init__.py        # Main entry point, exports the veris instance
├── tool_mock.py       # VerisSDK class with @veris.mock() decorator
└── utils.py           # Type conversion utilities

tests/
├── conftest.py        # Pytest fixtures
├── test_tool_mock.py  # Tests for VerisSDK functionality
└── test_utils.py      # Tests for type conversion utilities

Development

This project uses pyproject.toml for dependency management and uv for package installation.

Development Dependencies

To install the package with development dependencies:

uv add "veris-ai[dev]"

This will install the following development tools:

• Ruff: Fast Python linter
• pytest: Testing framework
• pytest-asyncio: Async support for pytest
• pytest-cov: Coverage reporting for pytest
• black: Code formatter
• mypy: Static type checker
• pre-commit: Git hooks for code quality

Code Quality

This project uses Ruff for linting and code quality checks. Ruff is a fast Python linter written in Rust.

To run Ruff:

# Lint code
ruff check .

# Auto-fix linting issues
ruff check --fix .

# Format code
ruff format .

# Check formatting only
ruff format --check .

The Ruff configuration is defined in pyproject.toml under the [tool.ruff] section.

Running Tests

# Run all tests with coverage
pytest tests/ --cov=veris_ai --cov-report=xml --cov-report=term-missing

# Run specific test file
pytest tests/test_tool_mock.py

# Run tests with verbose output
pytest -v tests/

Type Checking

# Run static type checking
mypy src/veris_ai tests

License

This project is licensed under the MIT License - see the LICENSE file for details.