auditry 0.1.1

FastAPI middleware for request/response logging, correlation IDs, and sensitive data redaction

auditry

FastAPI observability middleware with automatic request/response logging, correlation IDs, and sensitive data redaction.

Installation

pip install auditry

Quick Start

from fastapi import FastAPI
from auditry import configure_logging, ObservabilityMiddleware, ObservabilityConfig
from auditry import get_logger

# Configure structured logging at startup
configure_logging(level="INFO")

app = FastAPI()

# Add observability middleware (single line!)
app.add_middleware(
    ObservabilityMiddleware,
    config=ObservabilityConfig(
        service_name="my-service-name",
    ),
)

logger = get_logger(__name__) # always use the get_logger from this package

@app.get("/")
async def root():
   
    logger.info("Hello World")

    return {"message": "Hello World"}

Configuration

Required Configuration

config = ObservabilityConfig(
    service_name="your-service-name",  # REQUIRED
)

Full Configuration Options

config = ObservabilityConfig(
    # REQUIRED: Service name for log filtering
    service_name="my-service-name",

    # Correlation ID header name (default: X-Correlation-ID)
    # Use this if your org uses a different header, such as X-Request-ID
    correlation_id_header="X-Correlation-ID",

    # Maximum request/response body size to log (default: 10KB)
    payload_size_limit=10_240,

    # Additional sensitive field patterns to redact
    additional_redaction_patterns=["internal_id", "employee_ssn"],

    # Whether to log request headers (default: True)
    log_request_headers=True,

    # Whether to log response headers (default: False)
    log_response_headers=False,

    # Whether to log query parameters (default: True)
    log_query_params=True,
)

app.add_middleware(ObservabilityMiddleware, config=config)

Correlation IDs

Correlation IDs are automatically handled:

• Incoming requests: Extracts from X-Correlation-ID header (or your custom header)
• Generated if missing: Creates a new UUID if no correlation ID provided
• Added to response: Returns the correlation ID in the response header
• Included in logs: Automatically included in all structured logs

Using Correlation IDs in Your Code

from auditry import get_logger, get_correlation_id

logger = get_logger(__name__)

@app.get("/users/{user_id}")
async def get_user(user_id: str):
    # Correlation ID is automatically available
    correlation_id = get_correlation_id()

    # All logs automatically include the correlation ID
    logger.info(f"Fetching user {user_id}")

    return {"user_id": user_id, "correlation_id": correlation_id}

Propagating to Downstream Services

import httpx
from auditry import get_correlation_id

@app.get("/proxy")
async def proxy_request():
    # Get the current correlation ID
    correlation_id = get_correlation_id()

    # Pass it to downstream services
    async with httpx.AsyncClient() as client:
        response = await client.get(
            "https://downstream-service.com/api/data",
            headers={"X-Correlation-ID": correlation_id}  # Use your org's header name
        )

    return response.json()

User Tracking

The middleware automatically extracts user IDs from FastAPI dependencies and includes them in logs.

Supported User Patterns

The middleware automatically detects user IDs from these patterns:

1. Object with id attribute: current_user.id
2. Object with user_id attribute: current_user.user_id
3. Dict with id key: user["id"]
4. Dict with user_id key: user["user_id"]
5. Dict with sub key: user["sub"] (JWT standard)
6. Request state: request.state.user_id

You don't need to modify any existing code - the middleware automatically finds the user ID!

Business Event Tagging (For Analytics)

Tag specific endpoints as "business events" to make analytics queries easier for your sales/product teams.

Configuration

Tag endpoints in your middleware config - zero code changes needed in your actual endpoints:

from auditry import ObservabilityMiddleware, ObservabilityConfig, BusinessEventConfig

app.add_middleware(
    ObservabilityMiddleware,
    config=ObservabilityConfig(
        service_name="my-service-name",
        
        # Define which endpoints to tag for analytics
        business_events={
            "POST /workflows": BusinessEventConfig(
                event_type="workflow.created",
                extract_from_request=["file_id"],  # Pull file_id from request body
                extract_from_response=["id"],       # Pull workflow id from response
            ),
            "DELETE /workflows/{workflow_id}": BusinessEventConfig(
                event_type="workflow.deleted",
                extract_from_path=["workflow_id"],    # Pull workflow_id from URL path
            ),
        },
    ),
)

Log Output with Event Tags

Regular log (no tagging):

{
  "service": "my-service-name",
  "message": "Request completed: POST /workflows - Status: 201",
  "request": {...},
  "response": {...}
}

Tagged business event log:

{
  "service": "my-service-name",
  "message": "Request completed: POST /workflows - Status: 201",
  "event_type": "workflow.created",          // ← Filterable in log platform
  "business_context": {
    "file_id": "file_123",                   // ← From request body
    "id": "workflow_789"                    // ← From response body
  },
  "request": {...},
  "response": {...}
}

Supported Extract Locations

• extract_from_request: Fields from request JSON body
• extract_from_response: Fields from response JSON body
• extract_from_path: Parameters from URL path (e.g., /workflows/{workflow_id})

Log Output

All logs are structured JSON, ready for log aggregators:

{
  "timestamp": "2025-10-28T12:34:56.789012+00:00",
  "level": "INFO",
  "service": "my-service-name",
  "correlation_id": "550e8400-e29b-41d4-a716-446655440000",
  "message": "Request completed: POST /workflows - Status: 201 - Duration: 45.23ms",
  "request": {
    "method": "POST",
    "path": "/workflows",
    "query_params": {},
    "headers": {"user-agent": "curl/7.64.1", "authorization": "[REDACTED]"},
    "body": {"name": "My Workflow", "password": "[REDACTED]"},
    "user_id": "user_12345"
  },
  "response": {
    "status_code": 201,
    "duration_ms": 45.23,
    "body": {"id": "workflow_789", "name": "My Workflow"}
  }
}

Sensitive Data Redaction

Automatically redacts these sensitive field patterns:

• password
• token
• api_key / apikey
• secret
• authorization
• ssn / social_security_number
• credit_card / creditcard
• x-api-key

Add custom patterns via configuration:

config = ObservabilityConfig(
    service_name="my-service-name",
    additional_redaction_patterns=["internal_token", "employee_id"],
)

Best Practices

1. Configure Logging Early

Call configure_logging() at application startup, before any other code:

from auditry import configure_logging

# First thing in your app
configure_logging(level="INFO")

app = FastAPI()
# ... rest of your app

2. Use Structured Logging

Always use get_logger(__name__) instead of standard Python logging:

from auditry import get_logger

logger = get_logger(__name__)

# Good - structured with correlation ID
logger.info("Processing payment", amount=100.50, currency="USD")

# Bad - loses structured data
import logging
logging.info("Processing payment")

3. Propagate Correlation IDs

When calling downstream services, always pass the correlation ID:

from auditry import get_correlation_id

correlation_id = get_correlation_id()
headers = {"X-Correlation-ID": correlation_id}  # Use your org's header name
response = await client.get(url, headers=headers)

4. Customize for Your Organization

Match your org's conventions:

config = ObservabilityConfig(
    service_name="my-service-name",
    correlation_id_header="X-Request-ID",  # If your org uses this header instead
    additional_redaction_patterns=["ssn", "tax_id"],  # Your sensitive fields
)

Example Output: Success vs Failure

Successful Request

{
  "level": "INFO",
  "service": "my-service-name",
  "correlation_id": "abc-123",
  "message": "Request completed: POST /workflows - Status: 201 - Duration: 45ms",
  "request": {...},
  "response": {...}
}

Failed Request

{
  "level": "ERROR",
  "service": "my-service-name",
  "correlation_id": "abc-123",
  "message": "Request failed: POST /workflows - Error: ValueError: Invalid name",
  "request": {...},
  "exception_type": "ValueError",
  "exception_message": "Invalid name",
  "execution_duration_ms": 12.34
}

License

MIT License - see LICENSE file for details.

Contributing

Contributions welcome! Please submit a Pull Request.

Support

For issues and questions: GitHub Issues

Author

Liv Stark - [e-mail]