Dispute Scenario
4 ScenariosRuntime Telemetry
P99 Execution Time
0 ms
Token Cost / Run
0 tokens
Safety Guard Invariant
IDLE
DB Mutation State
SYNCED
Agentic Orchestration Flow
Watch state transition, tool calls, and automated database updates in real time.
1. Ingest & PII
Pending2. Carrier MCP
Pending3. Policy Gate
Pending4. ACID Mutation
Pending5. Ledger Audit
Pending
STEP 1
Inbound Ingestion & PII Anonymization
Inspector View:
Common AI Engineer Trap
Passes raw user input directly to the LLM context without PII scrub. Allows prompt injection to overwrite internal instructions.
# Naive Implementation
response = openai.ChatCompletion.create(
messages=[{"role": "user", "content": raw_user_prompt}]
)
response = openai.ChatCompletion.create(
messages=[{"role": "user", "content": raw_user_prompt}]
)
The FDE Production Fix
Applies deterministic regex/Presidio anonymizers to redact SSN/credit cards before API ingress. Enforces strict Pydantic typed contracts.
# Hardened Production Pydantic & Redaction
clean_text = presidio_anonymizer.redact(payload.text)
validated = DisputeSchema.model_validate_json(clean_text)
clean_text = presidio_anonymizer.redact(payload.text)
validated = DisputeSchema.model_validate_json(clean_text)
app/services/dispute_pipeline.py
Python 3.11 • Async FastAPI
Live Step Execution Stream
Latency: 0ms
> System initialized. Awaiting pipeline trigger...
Live Enterprise PostgreSQL State (`orders` table)
| Order ID | Customer ID | Original Status | Current DB Status | Refund Amount | Carrier Proof | Tamper-Proof Audit Hash |
|---|
FDE Production Insight:
A naive AI engineer often issues direct unconditional writes from asynchronous LLM callbacks, causing race conditions and dirty reads. The FDE wraps mutations in an explicit transaction using
SELECT ... FOR UPDATE with optimistic version checks and cryptographic SHA-256 state snapshots.