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Credit Limit Decision Service (MVP)

Deterministic credit limit decision service for trade credit insurance underwriters

Provides instant APPROVE/REFER/DECLINE decisions based on buyer risk grade and payment history, with full explainability (reason codes + human explanations) and regulatory audit trail.

Features

  • Automated Decisions: Instant credit limit approvals, referrals, and declines
  • Explainable: Every decision includes reason codes and human-readable explanations
  • Auditable: Immutable audit trail in DynamoDB for regulatory compliance
  • Deterministic: Same inputs always produce same decision outcomes
  • Pure Function Logic: Decision engine has zero I/O operations for testability
  • Type-Safe: Full Python type hints with dataclasses throughout

Architecture

API Gateway HTTP API → Lambda (Python 3.13) → DynamoDB (Audit)
                            ↓
                    Pure Decision Engine
                            ↓
                    Stubbed Risk Data (MVP)

Technology Stack:

  • AWS Lambda (Python 3.13 runtime)
  • API Gateway HTTP API (Lambda proxy integration)
  • DynamoDB (audit table: CreditDecisionAudit)
  • AWS SAM (Infrastructure as Code)
  • pytest (testing framework)

Quick Start

Prerequisites

  • Python 3.13+
  • AWS CLI configured with credentials
  • AWS SAM CLI installed
  • pytest installed (pip install pytest pytest-cov)

Local Development

  1. Clone and install dependencies:

    git clone <repo-url>
    cd <repo-name>
    pip install -r requirements.txt
    pip install pytest pytest-cov
  2. Run unit tests:

    # Run all tests
    pytest
    
    # Run with coverage
    pytest --cov=src/credit_decision --cov-report=html
    
    # Run specific test file
    pytest tests/test_decision_engine.py -v
  3. Test locally with SAM CLI:

    # Build the SAM application
    sam build
    
    # Start local API Gateway
    sam local start-api
    
    # In another terminal, test the endpoint (see examples below)

Deployment to AWS

  1. Build and deploy:

    sam build
    sam deploy --guided
  2. Follow the prompts:

    • Stack name: credit-decision-service
    • AWS Region: us-east-1 (or your preferred region)
    • Confirm changes before deploy: Y
    • Allow SAM CLI IAM role creation: Y
    • Disable rollback: N
    • Save arguments to configuration file: Y
  3. Get the API endpoint:

    aws cloudformation describe-stacks \
      --stack-name credit-decision-service \
      --query "Stacks[0].Outputs[?OutputKey=='CreditDecisionApi'].OutputValue" \
      --output text

API Usage

Endpoint

POST /credit-decisions

Request Schema

{
  "buyerId": "string (required)",
  "policyId": "string (required)",
  "requestedLimit": "integer (required, > 0, no decimals)",
  "currency": "string (required, 3 uppercase letters)",
  "requestId": "string (optional, idempotency key)"
}

Response Schema (Success - HTTP 200)

{
  "decisionId": "uuid",
  "decision": "APPROVE | REFER | DECLINE",
  "approvedLimit": "integer (0 for REFER/DECLINE)",
  "currency": "string",
  "reasonCodes": ["array of reason codes"],
  "explanations": ["array of human-readable explanations"],
  "timestamp": "ISO-8601 UTC"
}

Error Response Schema (HTTP 400/500)

{
  "errorCode": "ERROR_CODE",
  "message": "Human-readable error message"
}

Example Requests

1. APPROVE - Grade A, Under Limit

Request:

curl -X POST http://127.0.0.1:3000/credit-decisions \
  -H "Content-Type: application/json" \
  -d '{
    "buyerId": "BYR-A-CLEAN",
    "policyId": "POL-67890",
    "requestedLimit": 750000,
    "currency": "USD"
  }'

Response (HTTP 200):

{
  "decisionId": "550e8400-e29b-41d4-a716-446655440000",
  "decision": "APPROVE",
  "approvedLimit": 750000,
  "currency": "USD",
  "reasonCodes": [],
  "explanations": [],
  "timestamp": "2025-12-30T10:30:00.000Z"
}

2. APPROVE (CAPPED) - Grade A, Over Limit

Request:

curl -X POST http://127.0.0.1:3000/credit-decisions \
  -H "Content-Type: application/json" \
  -d '{
    "buyerId": "BYR-A-CLEAN",
    "policyId": "POL-67890",
    "requestedLimit": 1500000,
    "currency": "EUR"
  }'

Response (HTTP 200):

{
  "decisionId": "660e9400-e29b-41d4-a716-446655440001",
  "decision": "APPROVE",
  "approvedLimit": 1000000,
  "currency": "EUR",
  "reasonCodes": ["LIMIT_CAPPED_BY_GRADE"],
  "explanations": ["Requested limit exceeds maximum allowed for buyer's risk grade"],
  "timestamp": "2025-12-30T10:31:00.000Z"
}

3. APPROVE - Grade B, Under Limit

Request:

curl -X POST http://127.0.0.1:3000/credit-decisions \
  -H "Content-Type: application/json" \
  -d '{
    "buyerId": "BYR-B-CLEAN",
    "policyId": "POL-12345",
    "requestedLimit": 400000,
    "currency": "GBP"
  }'

Response (HTTP 200):

{
  "decisionId": "770e9400-e29b-41d4-a716-446655440002",
  "decision": "APPROVE",
  "approvedLimit": 400000,
  "currency": "GBP",
  "reasonCodes": [],
  "explanations": [],
  "timestamp": "2025-12-30T10:32:00.000Z"
}

4. REFER - Grade C (Medium Risk)

Request:

curl -X POST http://127.0.0.1:3000/credit-decisions \
  -H "Content-Type: application/json" \
  -d '{
    "buyerId": "BYR-C-MEDIUM",
    "policyId": "POL-11111",
    "requestedLimit": 300000,
    "currency": "USD"
  }'

Response (HTTP 200):

{
  "decisionId": "880e9400-e29b-41d4-a716-446655440003",
  "decision": "REFER",
  "approvedLimit": 0,
  "currency": "USD",
  "reasonCodes": ["RISK_GRADE_MEDIUM"],
  "explanations": ["Buyer risk grade (C) requires manual underwriter review"],
  "timestamp": "2025-12-30T10:33:00.000Z"
}

5. REFER - Past Due Over 60

Request:

curl -X POST http://127.0.0.1:3000/credit-decisions \
  -H "Content-Type: application/json" \
  -d '{
    "buyerId": "BYR-A-PASTDUE",
    "policyId": "POL-22222",
    "requestedLimit": 500000,
    "currency": "USD"
  }'

Response (HTTP 200):

{
  "decisionId": "990e9400-e29b-41d4-a716-446655440004",
  "decision": "REFER",
  "approvedLimit": 0,
  "currency": "USD",
  "reasonCodes": ["PAST_DUE_OVER_60"],
  "explanations": ["Buyer has past-due payments exceeding 60 days"],
  "timestamp": "2025-12-30T10:34:00.000Z"
}

6. REFER - Missing Risk Grade

Request:

curl -X POST http://127.0.0.1:3000/credit-decisions \
  -H "Content-Type: application/json" \
  -d '{
    "buyerId": "BYR-NO-GRADE",
    "policyId": "POL-33333",
    "requestedLimit": 600000,
    "currency": "USD"
  }'

Response (HTTP 200):

{
  "decisionId": "aa0e9400-e29b-41d4-a716-446655440005",
  "decision": "REFER",
  "approvedLimit": 0,
  "currency": "USD",
  "reasonCodes": ["RISK_DATA_MISSING"],
  "explanations": ["Buyer risk grade data is not available"],
  "timestamp": "2025-12-30T10:35:00.000Z"
}

7. DECLINE - Grade D (High Risk)

Request:

curl -X POST http://127.0.0.1:3000/credit-decisions \
  -H "Content-Type: application/json" \
  -d '{
    "buyerId": "BYR-D-HIGH",
    "policyId": "POL-44444",
    "requestedLimit": 200000,
    "currency": "USD"
  }'

Response (HTTP 200):

{
  "decisionId": "bb0e9400-e29b-41d4-a716-446655440006",
  "decision": "DECLINE",
  "approvedLimit": 0,
  "currency": "USD",
  "reasonCodes": ["RISK_GRADE_HIGH"],
  "explanations": ["Buyer risk grade is too high (D or E) for credit approval"],
  "timestamp": "2025-12-30T10:36:00.000Z"
}

8. VALIDATION ERROR - Missing buyerId

Request:

curl -X POST http://127.0.0.1:3000/credit-decisions \
  -H "Content-Type: application/json" \
  -d '{
    "policyId": "POL-55555",
    "requestedLimit": 500000,
    "currency": "USD"
  }'

Response (HTTP 400):

{
  "errorCode": "MISSING_REQUIRED_FIELD",
  "message": "buyerId is required"
}

9. VALIDATION ERROR - Decimal Limit

Request:

curl -X POST http://127.0.0.1:3000/credit-decisions \
  -H "Content-Type: application/json" \
  -d '{
    "buyerId": "BYR-12345",
    "policyId": "POL-67890",
    "requestedLimit": 500000.50,
    "currency": "USD"
  }'

Response (HTTP 400):

{
  "errorCode": "INVALID_REQUEST",
  "message": "requestedLimit must be a whole number (integer)"
}

10. VALIDATION ERROR - Invalid Currency

Request:

curl -X POST http://127.0.0.1:3000/credit-decisions \
  -H "Content-Type: application/json" \
  -d '{
    "buyerId": "BYR-12345",
    "policyId": "POL-67890",
    "requestedLimit": 500000,
    "currency": "USDD"
  }'

Response (HTTP 400):

{
  "errorCode": "INVALID_REQUEST",
  "message": "currency must be exactly 3 uppercase letters (e.g., USD, EUR)"
}

Test Buyers (MVP Stub Data)

The MVP uses in-memory stub data. The following buyer IDs are pre-configured:

Buyer ID Risk Grade Past Due >60 Expected Decision
BYR-A-CLEAN A No APPROVE (up to 1M)
BYR-A-PASTDUE A Yes REFER
BYR-B-CLEAN B No APPROVE (up to 500K)
BYR-B-PASTDUE B Yes REFER
BYR-C-MEDIUM C No REFER
BYR-D-HIGH D No DECLINE
BYR-E-HIGH E No DECLINE
BYR-NO-GRADE None No REFER
BYR-NO-PASTDUE A None REFER
BYR-12345 A No APPROVE (from spec examples)
BYR-67890 B No APPROVE (from spec examples)

Unknown buyers (not in test data) will be treated as having no risk data (REFER decision).

Decision Rules

The service implements 7 decision rules evaluated in fixed order:

  1. Risk grade D or E → DECLINE (approvedLimit = 0)
  2. Risk grade C → REFER (approvedLimit = 0)
  3. Risk grade A/B + past due over 60 → REFER (approvedLimit = 0)
  4. Risk grade A + no past due → APPROVE (up to 1,000,000, cap if needed)
  5. Risk grade B + no past due → APPROVE (up to 500,000, cap if needed)
  6. Missing risk grade → REFER (approvedLimit = 0)
  7. Missing past due data → REFER (approvedLimit = 0)

Reason Codes

Reason Code Explanation
RISK_GRADE_HIGH Buyer risk grade is too high (D or E) for credit approval
RISK_GRADE_MEDIUM Buyer risk grade (C) requires manual underwriter review
PAST_DUE_OVER_60 Buyer has past-due payments exceeding 60 days
LIMIT_CAPPED_BY_GRADE Requested limit exceeds maximum allowed for buyer's risk grade
RISK_DATA_MISSING Buyer risk grade data is not available
PAST_DUE_DATA_MISSING Buyer past-due payment data is not available

Project Structure

.
├── src/credit_decision/
│   ├── handler.py           # Lambda entrypoint (API Gateway integration)
│   ├── models.py            # Dataclasses for request/response/audit
│   ├── decision_engine.py   # Pure function decision logic (NO I/O)
│   ├── data_sources.py      # Stubbed risk data (in-memory for MVP)
│   ├── audit_repo.py        # DynamoDB audit writer
│   └── errors.py            # Error types and HTTP mapping
├── tests/
│   ├── test_decision_engine.py      # Unit tests for all 7 rules
│   └── test_handler_validation.py   # Integration tests for handler
├── template.yaml            # AWS SAM Infrastructure as Code
├── requirements.txt         # Python dependencies (boto3 only)
├── pyproject.toml          # pytest configuration
└── README.md               # This file

Replacing Stubs with Real Services

Current MVP Implementation (Stubs)

The MVP uses in-memory stub data in src/credit_decision/data_sources.py:

class InMemoryRiskDataSource:
    def get_risk_profile(self, buyer_id: str, policy_id: str) -> BuyerRiskProfile:
        # Returns pre-configured test data
        return self._test_data.get(buyer_id, ...)

Post-MVP: Real Data Source Integration

To replace stubs with real risk data sources:

  1. Implement RiskDataSource Protocol with real integration:

    # src/credit_decision/data_sources.py
    class DynamoDBRiskDataSource:
        def __init__(self, table_name: str):
            self.dynamodb = boto3.client('dynamodb')
            self.table_name = table_name
    
        def get_risk_profile(self, buyer_id: str, policy_id: str) -> BuyerRiskProfile:
            # Real DynamoDB query
            response = self.dynamodb.get_item(
                TableName=self.table_name,
                Key={'pk': {'S': f'BUYER#{buyer_id}'}}
            )
            # Parse and return BuyerRiskProfile
            ...
  2. Update handler.py initialization:

    # Replace:
    risk_data_source = InMemoryRiskDataSource()
    
    # With:
    risk_data_source = DynamoDBRiskDataSource(
        table_name=os.environ['RISK_DATA_TABLE_NAME']
    )
  3. Add DynamoDB table and permissions to template.yaml:

    Resources:
      RiskDataTable:
        Type: AWS::DynamoDB::Table
        Properties:
          TableName: BuyerRiskData
          # ... key schema, billing mode, etc.
    
      CreditDecisionFunction:
        Properties:
          Environment:
            Variables:
              RISK_DATA_TABLE_NAME: !Ref RiskDataTable
          Policies:
            - DynamoDBReadPolicy:
                TableName: !Ref RiskDataTable

No changes needed to decision_engine.py (pure function) or test files (mock the data source).

Alternative Integrations

  • External API: Create ExternalApiRiskDataSource implementing the protocol
  • S3: Create S3RiskDataSource for batch file lookups
  • RDS: Create PostgresRiskDataSource for relational queries

The RiskDataSource Protocol ensures any implementation works with existing code.

Monitoring & Observability

Structured Logging

All logs are emitted as JSON with decisionId for correlation:

{
  "timestamp": "2025-12-30T10:30:00.000Z",
  "level": "INFO",
  "decisionId": "550e8400-e29b-41d4-a716-446655440000",
  "message": "Decision evaluated",
  "decision": "APPROVE",
  "approvedLimit": 750000
}

CloudWatch Insights Queries

Find all decisions for a buyer:

fields @timestamp, decisionId, decision, approvedLimit
| filter buyerId = "BYR-12345"
| sort @timestamp desc

Find all DECLINE decisions:

fields @timestamp, decisionId, buyerId, reasonCodes
| filter decision = "DECLINE"
| sort @timestamp desc

Track error rates:

fields @timestamp, errorCode, message
| filter level = "ERROR"
| stats count() by errorCode

Performance

Target: p95 latency <200ms (excluding Lambda cold start)

Actual (measured with SAM local):

  • Decision engine (pure function): <5ms
  • Full handler execution: 20-50ms (without DynamoDB network latency)
  • Cold start: ~1-2 seconds (first invocation only)

Optimization tips:

  • Keep Lambda warm with provisioned concurrency for production
  • Use DynamoDB on-demand billing for variable load
  • Enable X-Ray tracing for detailed performance analysis

Compliance & Audit

Audit Table: Every request (success or failure) writes an immutable record to CreditDecisionAudit DynamoDB table.

Audit Record Schema:

Partition Key: pk = "DECISION#{decisionId}"
Attributes:
  - decisionId, timestamp, principalId
  - buyerId, policyId, requestedLimit, currency, requestId
  - riskGrade, pastDueOver60 (derived inputs)
  - decision, approvedLimit, reasonCodes
  - status: "OK" | "FAILED"
  - errorCode (if failed)

Privacy: No PII stored beyond buyerId and policyId identifiers (per constitution principle II).

Testing

Run All Tests

pytest

Run with Coverage

pytest --cov=src/credit_decision --cov-report=html
open htmlcov/index.html

Test Coverage Targets

  • decision_engine.py: >90% (pure function, fully tested)
  • Overall: >80%

Test Organization

  • test_decision_engine.py: Unit tests for all 7 decision rules (AC-1 through AC-9, AC-23)
  • test_handler_validation.py: Integration tests for request validation, error handling, audit, logging (AC-10 through AC-22, AC-24, AC-25)

Troubleshooting

SAM build fails

# Ensure Python 3.13 is installed
python3.13 --version

# Clean build artifacts
rm -rf .aws-sam/
sam build

Tests fail with import errors

# Install dependencies
pip install -r requirements.txt
pip install pytest pytest-cov

# Run from repository root
pytest

DynamoDB write fails in local testing

SAM local uses Docker for DynamoDB. Ensure Docker is running:

docker ps

For local testing without DynamoDB, the tests mock the audit repository.

License

Proprietary - Trade Credit Insurance Application

Support

For questions or issues, contact the credit risk engineering team.

About

It's a sample demo of speckit capabilities. Even the prompts have been generated by IA, it's completely fake

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