plano/demos/use_cases/credit_risk_case_copilot/config.yaml

version: v0.3.0

# Define the standalone credit risk agents
agents:
  - id: loan_intake_agent
    #url: http://localhost:10530/v1/agents/intake/chat/completions
    url: http://host.docker.internal:10530/v1/agents/intake/chat/completions
  - id: risk_scoring_agent
    #url: http://localhost:10530/v1/agents/risk/chat/completions
    url: http://host.docker.internal:10530/v1/agents/risk/chat/completions
  - id: policy_compliance_agent
    #url: http://localhost:10530/v1/agents/policy/chat/completions
    url: http://host.docker.internal:10530/v1/agents/policy/chat/completions
  - id: decision_memo_agent
    #url: http://localhost:10530/v1/agents/memo/chat/completions
    url: http://host.docker.internal:10530/v1/agents/memo/chat/completions

# HTTP filter for PII redaction and prompt injection detection
filters:
  - id: pii_security_filter
    #url: http://localhost:10550/v1/tools/pii_security_filter
    url: http://host.docker.internal:10550/v1/tools/pii_security_filter
    type: http

# LLM providers with model routing
model_providers:
  - model: openai/gpt-4o
    access_key: $OPENAI_API_KEY
    default: true
  - model: openai/gpt-4o-mini
    access_key: $OPENAI_API_KEY

# ToDo: Debug model aliases
# Model aliases for semantic naming
model_aliases:
  risk_fast:
    target: openai/gpt-4o-mini
  risk_reasoning:
    target: openai/gpt-4o

# Listeners
listeners:
  # Agent listener for routing credit risk requests
  - type: agent
    name: credit_risk_service
    port: 8001
    router: plano_orchestrator_v1
    address: 0.0.0.0
    agents:
      - id: loan_intake_agent
        description: |
          Loan Intake Agent - Extracts and normalizes loan application data for downstream analysis.

          CAPABILITIES:
          * Normalize applicant data and calculate derived fields (e.g., DTI)
          * Identify missing or inconsistent fields
          * Produce structured intake JSON for other agents

          USE CASES:
          * "Normalize this loan application"
          * "Extract and validate applicant data"

          When requests focus on intake or data normalization for loan applications, route here.
        filter_chain:
          - pii_security_filter
      - id: risk_scoring_agent
        description: |
          Risk Scoring Agent - Produces risk band, confidence score, and top drivers.

          CAPABILITIES:
          * Evaluate credit score, DTI, delinquencies, utilization
          * Assign LOW/MEDIUM/HIGH risk bands with confidence
          * Explain top 3 risk drivers with evidence

          USE CASES:
          * "Score the risk for this applicant"
          * "Provide risk band and drivers"

          When requests focus on risk scoring or drivers, route here.
        filter_chain:
          - pii_security_filter
      - id: policy_compliance_agent
        description: |
          Policy Compliance Agent - Checks lending policy rules and required documents.

          CAPABILITIES:
          * Verify KYC, income, and address checks
          * Flag policy exceptions (DTI, credit score, delinquencies)
          * Determine required documents by risk band

          USE CASES:
          * "Check policy compliance"
          * "List required documents"

          When requests focus on policy checks or exceptions, route here.
        filter_chain:
          - pii_security_filter
      - id: decision_memo_agent
        description: |
          Decision Memo Agent - Summarizes findings and recommends actions.

          CAPABILITIES:
          * Create concise decision memos
          * Recommend APPROVE/CONDITIONAL_APPROVE/REFER/REJECT

          USE CASES:
          * "Draft a decision memo"
          * "Recommend a credit decision"

          When requests focus on final memo or recommendation, route here.
        filter_chain:
          - pii_security_filter

  # Model listener for internal LLM gateway (used by agents)
  - type: model
    name: llm_gateway
    address: 0.0.0.0
    port: 12000

# OpenTelemetry tracing
tracing:
  random_sampling: 100