Specialized Agents Operational Use Cases (All 23 Agents)

Overview

This reference provides production-grade operational use case scenario workflows for each of the 23 specialized Pydantic AI agents in the platform. Each scenario details the operational context, invocation trigger, multi-database query execution (PostgreSQL, Qdrant, Memgraph), EvidenceGate zero-trust hash verification, structured Pydantic output payload, and regulatory compliance audit trail.

1. RequirementsTraceabilityAgent

Scenario: Bi-Directional Traceability Gap Remediation for DeltaV MES Release

Specialization: Traceability Engineer
Governing Regulations: ISPE GAMP 5 Second Edition, 21 CFR § 11.10(a), EU Annex 11 Clause 4
Operational Pre-conditions: Manufacturing Execution System (MES) configuration update pending pre-release qualification gate; 3 orphan User Requirements detected.

1. Input Trigger & Invocation Payload

response = await requirements_traceability_agent.run(
    "Audit requirements traceability coverage for DeltaV MES release v4.1 and identify unmapped specifications.",
    deps=GxpAgentDeps(
        pg_pool=pg_pool,
        qdrant_client=qdrant_client,
        memgraph_client=memgraph_client,
        rustfs_client=rustfs_client,
        langfuse_tracker=langfuse_tracker,
        system_code="MES",
        regulatory_mode="operational"
    )
)

2. Specialist Reasoning & Multi-Database Traversal

Memgraph Graph Traversal:

MATCH (s:System {code: 'MES'})-[:HAS_REQUIREMENT]->(u:Requirement)
OPTIONAL MATCH (u)-[:SPECIFIED_BY]->(f:FunctionalSpec)
OPTIONAL MATCH (f)-[:VERIFIED_BY]->(p:Protocol)
WHERE p IS NULL
RETURN u.req_id, u.description, f.spec_id

PostgreSQL System of Record Query:

SELECT requirement_id, description, risk_level, gamp_category
FROM system_requirements
WHERE system_code = 'MES' AND status = 'ACTIVE';

Qdrant Vector Retrieval: Retrieves historical test protocols matching barcode verification and electronic batch dispensation to auto-generate corresponding test steps.

3. EvidenceGate Verification

Validates that URS-MES-088, URS-MES-089, and URS-MES-090 are active versions in PostgreSQL with valid SHA-256 content hashes, filtering out draft or retired specifications.

4. Structured Output Payload

Returns TraceabilityMatrixResponse:

{
  "system_code": "MES",
  "total_requirements": 84,
  "mapped_requirements": 81,
  "coverage_percentage": 96.43,
  "orphan_requirements": [
    {
      "req_id": "URS-MES-088",
      "description": "Automated dispensation tolerance interlock (+/- 0.5%)",
      "recommended_action": "Generate Functional Specification FS-MES-088 and link to OQ-MES-TOL-01"
    }
  ],
  "disposition": "REMEDIATION_REQUIRED",
  "audit_trail_id": "TRC-MES-2026-0042"
}

5. Regulatory Compliance Impact

Prevents premature system release lacking complete V-Model test coverage, directly mitigating 21 CFR § 11.10(a) validation omission findings during FDA cGMP inspections.

2. RiskAssessmentAgent

Scenario: FDA CSA Critical Thinking Risk Assessment for Cloud QC Analytical Portal

Specialization: GAMP 5 & CSA Strategist
Governing Regulations: FDA Computer Software Assurance (CSA) Guidance, ISO 14971, GAMP 5 Appendix M3
Operational Pre-conditions: Quality Control lab deploying a cloud-hosted analytical portal for HPLC chromatogram review.

1. Input Trigger & Invocation Payload

response = await risk_assessment_agent.run(
    "Perform CSA Critical Thinking risk evaluation for Cloud Analytical Portal automated peak tailing calculation module.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Evaluates three core FDA CSA risk vectors:
- Direct Impact on Patient Safety: Assessed as No Impact.
- Direct Impact on Product Quality: Assessed as Indirect Impact (supporting analytical release testing).
- Direct Impact on Data Integrity: Assessed as Direct Impact (primary chromatographic record calculation).
Qdrant Similarity Search: Queries historical CSA assessments for chromatographic calculation engines to maintain institutional consistency.
Computes FMEA Risk Priority Number: $RPN = S(3) \times O(2) \times D(2) = 12$.

3. EvidenceGate Verification

Ensures vendor ISO 9001 and ISO/IEC 27001 audit certificates stored in RustFS pass cryptographic signature validation.

4. Structured Output Payload

Returns RiskAssessmentResponse:

{
  "system_name": "Cloud Analytical Portal",
  "gamp_category": 4,
  "critical_thinking_rationale": "Direct data integrity impact with indirect product quality consequence; standard math algorithms configured via vendor API.",
  "risk_items": [
    {
      "hazard_id": "HAZ-PORTAL-01",
      "description": "Peak tailing rounding truncation error exceeding 0.05% tolerance",
      "severity": 3,
      "occurrence": 2,
      "detection": 2,
      "rpn": 12,
      "csa_rigor": "LIMITED_SCRIPTED_TESTING",
      "mitigation_action": "Execute scripted boundary testing comparing output against NIST reference chromatographic sequences."
    }
  ],
  "overall_risk_level": "MEDIUM",
  "evidence_citations": ["SOP-QC-019", "CSA-FRAMEWORK-2026"]
}

5. Regulatory Compliance Impact

Applies FDA CSA risk-based principles to reduce unnecessary scripted testing burden by 60% while strengthening testing on direct data integrity risks.

3. ValidationTestingAgent

Scenario: Operational Qualification (OQ) Protocol Assurance Review for LIMS v5.0

Specialization: Protocol Specialist
Governing Regulations: 21 CFR § 11.10, EU Annex 11 Clause 4, GAMP 5
Operational Pre-conditions: Draft test protocol OQ-LIMS-024 submitted for audit trail verification prior to formal execution.

1. Input Trigger & Invocation Payload

response = await validation_testing_agent.run(
    "Audit draft test protocol OQ-LIMS-024 against 21 CFR Part 11 and EU Annex 11 acceptance criteria standards.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Reads protocol content from PostgreSQL table qualification_protocols.
Inspects step-by-step instructions for:
- Positive and negative challenge testing.
- Objective, verifiable acceptance criteria (avoiding subjective terms like “verify system works properly”).
- Contemporaneous recording requirements.
Cross-references against 21 CFR § 11.10(e) mandates for computer-generated time-stamped audit trails.

3. EvidenceGate Verification

Verifies underlying functional specification FS-LIMS-SEC-01 hash in PostgreSQL to ensure protocol reflects current design freeze.

4. Structured Output Payload

Returns ValidationTestingResponse:

{
  "protocol_code": "OQ-LIMS-024",
  "system_code": "LIMS",
  "qualification_type": "OQ",
  "audit_status": "DEFICIENT",
  "findings": [
    {
      "step_number": 4,
      "deficiency": "Step specifies 'Verify audit trail records user change' without defining specific required fields (date, time, user ID, old value, new value, reason).",
      "regulatory_citation": "21 CFR § 11.10(e)",
      "recommended_correction": "Update acceptance criteria: 'Audit trail entry must explicitly record ISO 8601 UTC timestamp, Operator GUID, Previous Value, New Value, and mandatory Reason Code.'"
    }
  ],
  "pre_execution_clearance": false
}

5. Regulatory Compliance Impact

Guarantees test protocols contain legally defensible acceptance criteria before execution, preventing unscientific or vague qualification records.

4. DeviationRcaAgent

Scenario: Fill-Finish Sterile Vial Seal Integrity Failure Investigation

Specialization: Quality Incident & RCA Lead
Governing Regulations: 21 CFR § 211.192, ISO 13485 Clause 8.5.2, EU GMP Chapter 1
Operational Pre-conditions: Automated visual inspection system flags 18 vials with crimp seal defects in batch LOT-FF-901.

1. Input Trigger & Invocation Payload

response = await deviation_rca_agent.run(
    "Conduct forensic 5-Whys deduction and Ishikawa Fishbone root cause analysis for deviation DEV-FF-2026-09 on sterile crimp capping station.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Traverses Memgraph for maintenance and calibration history of Capping Station EQ-CAP-002:

MATCH (a:Asset {tag: 'EQ-CAP-002'})-[:HAS_MAINTENANCE_EVENT]->(m:MaintenanceEvent)
RETURN m.event_date, m.work_order_type, m.technician, m.description
ORDER BY m.event_date DESC LIMIT 5

Identifies that a pneumatic actuator cylinder was replaced 48 hours prior to the run under emergency work order WO-EMG-102.
Constructs formal 5-Whys causal chain isolating lack of post-replacement pneumatic pressure calibration.

3. EvidenceGate Verification

Retrieves and validates active version of SOP-MNT-044 (Capping Station Overhaul) and checks technician qualification records.

4. Structured Output Payload

Returns DeviationRcaResponse:

{
  "deviation_code": "DEV-FF-2026-09",
  "severity": "CRITICAL",
  "ishikawa_category": "MACHINE_MAINTENANCE",
  "five_whys_analysis": [
    "Vial crimp seals exhibited incomplete folding.",
    "Capping head pneumatic downward stroke force was below 120 N specification.",
    "Air supply regulator was set to 4.2 bar instead of 5.8 bar.",
    "Replacement pneumatic cylinder had different internal bore volume than original unit.",
    "Technicians did not perform post-maintenance stroke pressure qualification prior to releasing line to production."
  ],
  "root_cause_summary": "Inadequate post-maintenance return-to-service testing following emergency actuator replacement.",
  "immediate_containment": "Quarantine 100% of batch LOT-FF-901; lock line EQ-CAP-002.",
  "capa_recommendation": "Revise SOP-MNT-044 to mandate independent QA witnessing of pneumatic pressure calibration prior to line clearance."
}

5. Regulatory Compliance Impact

Provides scientifically sound root cause investigations adhering to FDA 21 CFR § 211.192 requirements for thorough investigations extending to other potentially affected batches.

5. CapaChangeControlAgent

Scenario: Continuous Improvement CAPA Implementation for Cleanroom Differential Pressure

Specialization: Continuous Improvement Lead
Governing Regulations: ISO 13485 Clauses 8.5.2 & 8.5.3, 21 CFR § 820.100, GAMP 5
Operational Pre-conditions: Investigation DEV-HVAC-014 concluded; CAPA plan requires damper automation logic update.

1. Input Trigger & Invocation Payload

response = await capa_change_control_agent.run(
    "Draft formal CAPA remediation plan and engineering change control for Cleanroom Suite 3 differential pressure control logic.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Queries PostgreSQL for active deviations referencing Cleanroom Suite 3.
Traverses Memgraph to identify all computerized systems linked to building automation HVAC controllers.
Formulates action plan with designated owners, regulatory milestones, and quantifiable effectiveness check metrics (e.g., zero pressure excursions over 60 consecutive production days).

3. EvidenceGate Verification

Validates that SOP-QMS-008 (CAPA Management) is the active regulatory procedure governing action timing.

4. Structured Output Payload

Returns CapaChangeControlResponse:

{
  "capa_id": "CAPA-2026-031",
  "source_deviation": "DEV-HVAC-014",
  "remediation_actions": [
    {
      "action_id": "ACT-01",
      "description": "Modify PLC proportional-integral loop parameters in BMS software to prevent overshoot during airlock door transitions.",
      "assignee_role": "Automation Controls Engineer",
      "due_date": "2026-10-15",
      "verification_method": "OQ-BMS-PID-01 test execution"
    }
  ],
  "effectiveness_criteria": "Zero Grade B airlock differential pressure alarms (< 12.5 Pa) for 60 consecutive days under full operational load.",
  "change_control_required": true,
  "change_control_code": "CC-BMS-2026-19"
}

5. Regulatory Compliance Impact

Fulfills ISO 13485:2016 Clause 8.5.2 requirements for documented corrective actions with verified effectiveness criteria.

6. DataIntegrityAuditAgent

Scenario: Forensic Electronic Record & Signature Manifest Verification

Specialization: 21 CFR Part 11 Auditor
Governing Regulations: 21 CFR Part 11 Subpart B & C, EU Annex 11 Clauses 12 & 14, ALCOA+ Principles
Operational Pre-conditions: Internal audit of commercial batch release records for potential electronic signature tampering.

1. Input Trigger & Invocation Payload

response = await data_integrity_audit_agent.run(
    "Perform ALCOA+ and cryptographic hash audit on all electronic signatures executed for batch LOT-2026-B88.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

PostgreSQL Relational Ledger:

SELECT event_id, timestamp, user_id, user_role, action, record_id, cryptographic_hash, manifest_signature
FROM audit_trail_events
WHERE record_id LIKE '%LOT-2026-B88%'
ORDER BY timestamp ASC;

Recomputes SHA-256 hashes of record payload tuples (timestamp, user_id, record_id, payload_data) and matches against cryptographic_hash.
Inspects token session durations to verify no signature was applied through an expired security context.

3. EvidenceGate Verification

Confirms that the cryptographic public verification keys stored in the PostgreSQL security schema are valid and unrevoked.

4. Structured Output Payload

Returns DataIntegrityAuditResponse:

{
  "batch_record_id": "LOT-2026-B88",
  "total_signatures_evaluated": 14,
  "tampering_detected": false,
  "alcoa_compliance_score": 100.0,
  "alcoa_evaluation": {
    "attributable": "PASS (All 14 signatures bound to verified Active Directory employee GUIDs)",
    "legible": "PASS (Full human-readable reason codes recorded)",
    "contemporaneous": "PASS (Zero backdated timestamps detected; delta < 200ms)",
    "original": "PASS (PostgreSQL immutable triggers confirm zero record updates)",
    "accurate": "PASS (100% cryptographic SHA-256 manifest match)"
  },
  "audit_disposition": "FULLY_COMPLIANT"
}

5. Regulatory Compliance Impact

Provides mathematical proof of data integrity for electronic records during regulatory inspections, neutralizing 21 CFR Part 11 citations.

7. PeriodicReviewAgent

Scenario: 2-Year Periodic Validation Review of Chromatography Data System (CDS)

Specialization: Lifecycle Governance Lead
Governing Regulations: EU Annex 11 Clause 11, GAMP 5 Appendix M5, PIC/S PI 011-3
Operational Pre-conditions: Empower CDS operational for 24 months since last periodic review.

1. Input Trigger & Invocation Payload

response = await periodic_review_agent.run(
    "Compile 2-year Periodic Validation Review for Empower CDS (System Code: CDS).",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Queries total deviations, change controls, maintenance events, and security access reviews over the 24-month operational window.
Computes System Health Score based on open incidents, patch currency, and disaster recovery drill compliance.
Inspects Memgraph for all attached instruments and assesses whether hardware driver updates invalidated validated state.

3. EvidenceGate Verification

Verifies original Validation Plan VP-CDS-001 and subsequent change controls CC-CDS-001 through CC-CDS-014 in PostgreSQL.

4. Structured Output Payload

Returns PeriodicReviewResponse:

{
  "system_code": "CDS",
  "review_period_months": 24,
  "system_health_score": 94.5,
  "changes_implemented": 14,
  "deviations_logged": 3,
  "open_critical_issues": 0,
  "validated_state_maintained": true,
  "recommendations": [
    "Schedule database index optimization during upcoming maintenance window.",
    "Verify compatibility of vendor patch v3.8.2 before Q1 2027."
  ],
  "next_review_due": "2028-09-06"
}

5. Regulatory Compliance Impact

Satisfies EU Annex 11 Clause 11 requirements for periodic evaluation to confirm that computerized systems remain in a valid state and compliant with GMP.

8. AssetManagementAgent

Scenario: Out-of-Tolerance Automated Instrument Lockout & Triage

Specialization: Equipment & Metrology Sentry
Governing Regulations: ISO 13485:7.5.1, 21 CFR § 211.68, GAMP 5
Operational Pre-conditions: Benchtop TOC Analyzer EQ-TOC-002 exceeds NIST calibration grace period.

1. Input Trigger & Invocation Payload

response = await asset_management_agent.run(
    "Inspect calibration status for EQ-TOC-002 and enforce regulatory containment if overdue.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Queries asset record in PostgreSQL: last calibration 2025-08-15, interval 365 days, grace period 36 days (+10%). Current date exceeds threshold.

Executes Memgraph Cypher query to determine dependent QC test methods:

MATCH (a:Asset {tag: 'EQ-TOC-002'})<-[:USES_EQUIPMENT]-(tm:TestMethod)
RETURN tm.method_code, tm.sample_type

Sets asset state to Under Maintenance / Lockout in PostgreSQL.

3. EvidenceGate Verification

Retrieves calibration specification SPEC-MET-TOC and confirms standard operating limits.

4. Structured Output Payload

Returns AssetManagementResponse:

{
  "asset_tag": "EQ-TOC-002",
  "criticality": "DIRECT_GXP",
  "calibration_status": "OVERDUE",
  "lockout_enforced": true,
  "impacted_methods": ["TM-WFI-TOC-01", "TM-CLEANING-VAL-04"],
  "immediate_actions": [
    "Instrument software port disabled to prevent sample run initiation.",
    "Physical calibration overdue tag required on unit front panel.",
    "Deviation logged for metrology interval breach."
  ],
  "work_order_dispatched": true
}

5. Regulatory Compliance Impact

Prevents the execution of release testing on uncalibrated analytical hardware, eliminating severe cGMP warning letter vulnerabilities under 21 CFR § 211.160.

9. CmmsMaintenanceAgent

Scenario: Preventative Maintenance Scheduling for Cleanroom Autoclave

Specialization: Maintenance Governance Lead
Governing Regulations: 21 CFR § 211.67, ISO 13485:6.3, GAMP 5
Operational Pre-conditions: GMP Steam Autoclave EQ-AUTO-001 reaches 500 operational sterilization cycles.

1. Input Trigger & Invocation Payload

response = await cmms_maintenance_agent.run(
    "Generate preventative maintenance work order and cleanroom clearance protocol for Autoclave EQ-AUTO-001 at 500-cycle threshold.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Queries maintenance history and replacement part bills-of-material for EQ-AUTO-001 in PostgreSQL.
Identifies required component replacements: Chamber door gasket (silicone), steam trap thermostatic element, and pressure safety relief valve inspection.
Coordinates cleanroom line clearance requirements with production scheduling.

3. EvidenceGate Verification

Confirms technician certification for pressurized vessel maintenance under SOP-FAC-033.

4. Structured Output Payload

Returns CmmsMaintenanceResponse:

{
  "work_order_id": "WO-PM-2026-88",
  "asset_tag": "EQ-AUTO-001",
  "maintenance_type": "PREVENTATIVE",
  "tasks": [
    "Replace chamber door silicone gasket lot-verified USP Class VI.",
    "Inspect and rebuild Spirax Sarco steam trap assembly.",
    "Perform chamber pressure decay leak rate test (< 0.01 bar/min)."
  ],
  "cleanroom_clearance_required": true,
  "post_maintenance_qualification": "OQ-AUTO-LEAK-01",
  "scheduled_downtime_hours": 6.0
}

5. Regulatory Compliance Impact

Fulfills 21 CFR § 211.67 equipment maintenance mandates, ensuring sterile barrier autoclaves remain compliant and leak-tight.

10. BatchRecordReviewAgent

Scenario: Right-First-Time (RFT) Review of Commercial Drug Substance Batch Record

Specialization: Batch Release & RFT Sentry
Governing Regulations: 21 CFR § 211.188, EU GMP Annex 16, EU Annex 11 Clause 14
Operational Pre-conditions: Bioreactor cell culture run finished; electronic batch record submitted for Qualified Person (QP) release.

1. Input Trigger & Invocation Payload

response = await batch_record_review_agent.run(
    "Execute automated Right-First-Time review on Electronic Batch Record eBR-2026-B88.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Inspects 240 process steps in eBR database:
- Verifies 100% of required critical process parameter (CPP) entries fall within validated ranges (pH 7.05 +/- 0.10, DO 40% +/- 5%, Temp 36.8°C +/- 0.2°C).
- Verifies dual-signature witness execution on all raw material dispensations.
- Cross-checks in-process sampling timestamps against LIMS analytical test results.

3. EvidenceGate Verification

Ensures the Master Batch Record template used is the approved Rev 04 registered in PostgreSQL.

4. Structured Output Payload

Returns BatchRecordReviewResponse:

{
  "batch_id": "eBR-2026-B88",
  "rft_status": "CLEARED_FOR_QP_RELEASE",
  "exceptions_detected": 0,
  "cpp_adherence_rate": 100.0,
  "signature_completeness": "100% (48 of 48 mandatory dual signatures executed)",
  "linked_deviations": ["DEV-EBR-002 (Classified Minor, Resolved, Non-Impacting)"],
  "disposition_recommendation": "RELEASE"
}

5. Regulatory Compliance Impact

Reduces manual batch record review cycle time from 5 days to 20 minutes while eliminating missed critical process parameter deviations prior to market release.

11. OosInvestigationAgent

Scenario: Phase 1 Laboratory Out-of-Specification (OOS) Potency Assay Triage

Specialization: QC Analytical OOS Lead
Governing Regulations: FDA Guidance for Industry - Investigating Out-of-Specification (OOS) Test Results, ISO 17025
Operational Pre-conditions: HPLC assay potency result of 84.2% against specification limit of 95.0% - 105.0% on Lot #DS-409.

1. Input Trigger & Invocation Payload

response = await oos_investigation_agent.run(
    "Initiate Phase 1 laboratory OOS investigation for HPLC potency failure on Lot DS-409.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Executes Phase 1 laboratory 5-point checklist:
- System Suitability Test (SST) criteria evaluation (%RSD, peak tailing, retention time).
- Chromatographic baseline integration and peak splitting analysis.
- Reference standard lot validity and preparation balance calibration.
- Volumetric glassware calibration and pipette verification.
- Instrument pressure trace anomalies.
Identifies that reference standard solution was prepared using an expired volumetric flask lot, while instrument SST passed.

3. EvidenceGate Verification

Validates SOP-QC-035 (Handling of OOS and OOT Test Results) active version.

4. Structured Output Payload

Returns OosInvestigationResponse:

{
  "oos_id": "OOS-2026-018",
  "investigation_phase": "PHASE_1_LAB",
  "laboratory_error_confirmed": true,
  "error_classification": "CALCULATION_OR_PREPARATION_FAULT",
  "findings": "Analyst utilized volumetric standard solution past the 24-hour room temperature stability window defined in TM-HPLC-POT-01.",
  "retest_authorized": true,
  "retest_protocol": "Prepare fresh standard solution from primary reference standard ampoule; test in triplicate alongside original test sample.",
  "escalation_to_phase_2": false
}

5. Regulatory Compliance Impact

Enforces rigorous adherence to the FDA Barr Laboratories OOS ruling, prohibiting unjustified re-testing without documented proof of laboratory error.

12. GxpTrainingCompetencyAgent

Scenario: Automated Cleanroom Aseptic Operator Lockout on Expired Qualification

Specialization: Curriculum & Training Sentry
Governing Regulations: 21 CFR § 211.25, EU Annex 11 Clause 2, ISO 13485:6.2
Operational Pre-conditions: Cleanroom Operator attempts to sign a critical batch record step while aseptic gowning qualification has lapsed.

1. Input Trigger & Invocation Payload

response = await gxp_training_competency_agent.run(
    "Verify operator training qualification for Employee EMP-4092 attempting electronic signature on eBR-2026-B88.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Queries PostgreSQL LMS table training_records for employee EMP-4092:
- Good Manufacturing Practice Annual Refresher: Valid.
- Data Integrity & Part 11: Valid.
- Semi-Annual Aseptic Gowning Qualification: Expired 3 days ago.
Evaluates job role requirements for step eBR Step 14: Inoculation In-Process Transfer.
Issues automated signature block to the Electronic Batch Record system.

3. EvidenceGate Verification

Cross-checks training curriculum matrix CURR-MFG-ASEPTIC-01 against active document versions.

4. Structured Output Payload

Returns GxpTrainingResponse:

{
  "employee_id": "EMP-4092",
  "qualification_status": "DISQUALIFIED_FOR_STEP",
  "lapsed_competencies": [
    {
      "course_code": "QUAL-ASEPTIC-GOWN-01",
      "title": "Aseptic Cleanroom Gowning & Microbiological Touch Plate Qualification",
      "expiry_date": "2026-09-03"
    }
  ],
  "electronic_signature_allowed": false,
  "remediation": "Operator must complete microbiological gowning requalification under QA observation before performing Grade A/B manipulations."
}

5. Regulatory Compliance Impact

Prevents unauthorized or unqualified personnel from executing critical manufacturing steps, satisfying 21 CFR § 211.25 personnel qualification directives.

13. ItHelpdeskAgent

Scenario: High-Priority Part 11 Signature Lockout Triage & Dual-Custody Escalation

Specialization: GxP Service Desk Specialist
Governing Regulations: 21 CFR § 11.10(d), 21 CFR § 11.300
Operational Pre-conditions: Operator locked out of DeltaV MES during commercial production run.

1. Input Trigger & Invocation Payload

response = await helpdesk_agent.run(
    "Process emergency unlock request for Operator EMP-8812 locked out of DeltaV MES on production line 2.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Classifies ticket under Regulated GxP Incident Track (21 CFR Part 11).
Verifies system criticality: Direct GxP impact.
Denies single-tier helpdesk bypass; initiates dual-custody verification workflow requiring QA Floor Supervisor witnessing per SOP-IT-005.

3. EvidenceGate Verification

Retrieves SOP-IT-005 (Identity Management and Password Security in Regulated Systems) and verifies authorized supervisor roles.

4. Structured Output Payload

Returns HelpdeskTicketResponse:

{
  "ticket_id": "HD-2026-9041",
  "track": "GXP_REGULATED",
  "priority": "HIGH",
  "action_taken": "DISPATCH_SUPERVISOR_VERIFICATION",
  "requires_dual_custody": true,
  "supervisor_approval_guid": null,
  "resolution_notes": "Single-sign-on administrative reset blocked. Awaiting secondary QA supervisor digital signature before generating one-time challenge token."
}

5. Regulatory Compliance Impact

Ensures that administrative account overrides on validated production systems cannot be exploited by rogue actors or tier-1 support personnel without formal QA authorization.

14. DocumentAuthoringAgent

Scenario: Authoring ISO 13485 & GAMP 5 Compliant Cleanroom Sanitation SOP

Specialization: Quality & CSV Document Drafter
Governing Regulations: ISO 13485:4.2.3, 21 CFR § 820.40, GAMP 5
Operational Pre-conditions: Facility commissioning new ISO Class 7 cleanroom suite; required standard operating procedure must be drafted.

1. Input Trigger & Invocation Payload

response = await document_authoring_agent.run(
    "Author a formal standard operating procedure SOP-CLN-022 for Grade C Cleanroom Sanitization adhering to ISO 13485 and Annex 1 guidelines.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Retrieves quality document templates and governing disinfectant validation reports from PostgreSQL and Qdrant.
Structures document with mandatory life sciences sections:
- Header with Document Number, Title, Version 1.0, Effective Date, Review Cycle.
- 1.0 Purpose, 2.0 Scope, 3.0 Regulatory References.
- 4.0 Responsibilities (RACI Matrix: Facilities, QA, Microbiological QC).
- 5.0 Procedures (Sporicidal rotation, contact time, cleaning directions).
- 6.0 ALCOA+ Documentation and Environmental Monitoring Logging.
- 7.0 Revision History.

3. EvidenceGate Verification

Checks cited disinfectant efficacy study VAL-DISINF-004 to ensure referenced contact times (e.g. 10-minute wet dwell) are scientifically verified.

4. Structured Output Payload

Returns DocumentAuthoringResponse:

{
  "document_code": "SOP-CLN-022",
  "document_type": "SOP",
  "title": "Grade C Cleanroom Cleaning and Sporicidal Disinfection Procedure",
  "gxp_compliant_structure": true,
  "sections_authored": [
    "Purpose", "Scope", "Responsibilities", "Materials & Reagents", "Procedure", "Environmental Monitoring", "References", "Revision History"
  ],
  "disinfectant_rotation_verified": "Phenolic / Quaternary Ammonium alternating monthly with sterile Hydrogen Peroxide sporicidal agent",
  "ready_for_review": true
}

5. Regulatory Compliance Impact

Eliminates procedural omissions and formats controlled documents in full compliance with ISO 13485 Clause 4.2 document control standards.

15. SupplierQualityAgent

Scenario: External Cloud Software Vendor Qualification & Risk Tiering

Specialization: Supplier Purchasing Lead
Governing Regulations: ISO 13485:7.4, FDA QMSR 21 CFR § 820.50, GAMP 5
Operational Pre-conditions: Enterprise selecting cloud-based Electronic Trial Master File (eTMF) SaaS vendor.

1. Input Trigger & Invocation Payload

response = await supplier_quality_agent.run(
    "Evaluate vendor SOC 2 Type II audit report and ISO 27001 certification for eTMF SaaS provider CloudClinical Inc.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Ingests supplier audit documentation and penetration test summaries from RustFS.
Evaluates supplier quality management system, change notification SLA, disaster recovery posture, and 21 CFR Part 11 electronic signature implementation.
Categorizes supplier risk tier (Tier 1 Direct Patient/Clinical Data Impact).

3. EvidenceGate Verification

Verifies accreditation certificate authenticity of the auditing body (AICPA / ANAB).

4. Structured Output Payload

Returns SupplierQualityResponse:

{
  "vendor_name": "CloudClinical Inc",
  "service_type": "SAAS_ETMF",
  "supplier_risk_tier": "TIER_1_CRITICAL",
  "audit_disposition": "CONDITIONALLY_APPROVED",
  "gaps_identified": [
    "Vendor standard agreement allows 15-day notice for major software updates; GxP requirement mandates 60-day notification for CSV re-qualification."
  ],
  "mitigation_required": "Execute Quality Agreement (QAg) amendment enforcing 60-day change freeze and dedicated sandbox tenant access."
}

5. Regulatory Compliance Impact

Enforces strict supplier control under ISO 13485 Clause 7.4.1, preventing unannounced cloud vendor updates from compromising validated computerized systems.

16. ComplaintVigilanceAgent

Scenario: Medical Device Post-Market Complaint Adverse Event MDR Triage

Specialization: Post-Market Vigilance Lead
Governing Regulations: 21 CFR Part 803 (MDR), ISO 13485:8.2.2, EU MDR 2017/745
Operational Pre-conditions: Customer complaint received reporting infusion pump software error code E-402 during insulin delivery.

1. Input Trigger & Invocation Payload

response = await complaint_vigilance_agent.run(
    "Triage customer complaint CMP-2026-088 regarding Infusion Pump firmware error E-402 and determine FDA MDR reportability.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Evaluates reported malfunction: infusion pump paused medication delivery without audible alarm.

Traverses Memgraph for software hazard analysis linked to error E-402:

MATCH (h:Hazard {code: 'HAZ-PUMP-402'})<-[:LINKED_TO]-(c:SoftwareComponent)
RETURN h.severity, h.patient_harm_potential

Assesses 21 CFR Part 803 criteria: Device malfunction that would be likely to cause or contribute to a death or serious injury if the malfunction were to recur.

3. EvidenceGate Verification

Retrieves active Risk Management File RMF-PUMP-REV09 and verifies hazard severity rating.

4. Structured Output Payload

Returns ComplaintVigilanceResponse:

{
  "complaint_id": "CMP-2026-088",
  "mdr_reportable": true,
  "fda_reporting_timeframe_days": 30,
  "hazard_classification": "CRITICAL_SOFTWARE_DEFECT",
  "clinical_rationale": "Undetected cessation of insulin delivery poses immediate risk of severe ketoacidosis in diabetic patients.",
  "immediate_actions": [
    "Generate FDA MedWatch Form 3500A electronic submission draft.",
    "Issue urgent software CAPA to Biomedical Engineering team.",
    "Initiate serial number recall investigation for affected firmware build v2.1.0."
  ]
}

5. Regulatory Compliance Impact

Guarantees timely compliance with FDA 21 CFR Part 803 Medical Device Reporting (MDR) deadlines, preventing severe penalties and regulatory consent decrees.

17. ApqrQualityMetricsAgent

Scenario: Annual Product Quality Review (APQR) Trend Analysis for Potency & Yield

Specialization: Annual Product Review Sentry
Governing Regulations: 21 CFR § 211.180(e), EU GMP Chapter 1 Clause 1.10
Operational Pre-conditions: Compiling Annual Product Quality Review for Monoclonal Antibody Product MAB-101 across 52 commercial batches.

1. Input Trigger & Invocation Payload

response = await apqr_quality_metrics_agent.run(
    "Compile annual statistical trend metrics, process capability (Cpk), and out-of-trend indicators for product MAB-101 (Fiscal Year 2025/2026).",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Queries PostgreSQL for release potency, chromatographic purity, and final vial fill yield across all 52 batches.
Calculates process capability statistics: $$\bar{X} = 99.4%, \quad \sigma = 1.12%, \quad C_{pk} = \min\left(\frac{USL - \bar{X}}{3\sigma}, \frac{\bar{X} - LSL}{3\sigma}\right) = 1.61$$
Identifies slight downward yield trend in Q3 coinciding with raw material resin lot change.

3. EvidenceGate Verification

Confirms analytical release methods and specifications remained unchanged throughout the 12-month evaluation period.

4. Structured Output Payload

Returns ApqrMetricsResponse:

{
  "product_code": "MAB-101",
  "evaluation_year": "2025/2026",
  "total_batches_manufactured": 52,
  "batches_released": 51,
  "batches_rejected": 1,
  "cpk_statistic": 1.61,
  "process_capability": "CAPABLE_AND_IN_CONTROL",
  "out_of_trend_signals": [
    "Q3 purification yield declined by 2.4% following Protein A resin lot changeover."
  ],
  "regulatory_action_recommended": "Execute vendor resin capacity qualification under CAPA-2026-019."
}

5. Regulatory Compliance Impact

Satisfies mandatory annual regulatory review requirements under 21 CFR § 211.180(e), verifying ongoing state of control and process robustness.

18. AuditInspectionReadinessAgent

Scenario: Pre-Inspection Audit Dossier Compilation for Health Authority Inspection

Specialization: Inspection Readiness Auditor
Governing Regulations: FDA Compliance Program Guidance Manual 7382.850, ISO 13485:8.2.4
Operational Pre-conditions: Notice received of upcoming FDA cGMP inspection in 14 days.

1. Input Trigger & Invocation Payload

response = await audit_inspection_readiness_agent.run(
    "Compile computerized systems inspection readiness binder and flag potential Form 483 risk areas.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Audits all 5 core regulated software systems (EBR, CDS, LIMS, QMS, MES).
Evaluates:
- Status of open deviations older than 30 days.
- Unapproved or pending change controls.
- Training completion percentages for system administrators.
- Disaster recovery periodic drill completion records.
Flags 1 open Major deviation in LIMS currently at day 28 without formal extension rationale.

3. EvidenceGate Verification

Verifies cryptographic integrity of all audit trail exports destined for the auditor front-room.

4. Structured Output Payload

Returns InspectionReadinessResponse:

{
  "readiness_score": 91.2,
  "inspection_risk_level": "LOW_TO_MODERATE",
  "high_risk_findings": [
    {
      "area": "QMS Deviations",
      "issue": "DEV-2026-082 has been open 28 days without formal QA extension request on file.",
      "citation_risk": "FDA 483 citation under 21 CFR § 211.192 (Failure to complete investigations in timely manner)."
    }
  ],
  "binder_readiness": {
    "system_descriptions": "READY",
    "validation_summary_reports": "READY",
    "audit_trail_exports": "READY",
    "dr_drill_certificates": "READY"
  }
}

5. Regulatory Compliance Impact

Identifies and remediates regulatory vulnerabilities prior to auditor arrival, protecting the site from avoidable Form 483 inspection observations.

19. SystemInterfaceMigrationAgent

Scenario: Chromatographic Database Cloud Schema Migration & ALCOA+ Reconciliation

Specialization: Data Migration Specialist
Governing Regulations: GAMP 5 Appendix D6, 21 CFR § 11.10(c), ALCOA+ Principles
Operational Pre-conditions: Migrating 14,000 legacy Empower CDS raw sequence directories to cloud object storage.

1. Input Trigger & Invocation Payload

response = await system_interface_migration_agent.run(
    "Execute automated schema mapping and data migration qualification for 14,000 legacy chromatograms to AWS S3 / RustFS.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Reads source database tables from legacy on-premises Oracle database.
Formulates migration validation mapping:
- Raw binary injection traces (.raw / .dat).
- Integration method parameters and baseline coordinates.
- Electronic signature metadata and audit timestamps.
Computes pre-migration SHA-256 hash digests for every individual chromatographic sequence.
Executes automated batch migration into RustFS object storage.
Performs post-migration 100% bit-level hash reconciliation.

3. EvidenceGate Verification

Validates that 14,000 post-migration files match source database SHA-256 digests with zero byte discrepancy.

4. Structured Output Payload

Returns DataMigrationResponse:

{
  "migration_project_id": "MIG-CDS-2026",
  "total_records_migrated": 14000,
  "successful_transfers": 14000,
  "failed_transfers": 0,
  "reconciliation_rate": 100.0,
  "alcoa_enduring_compliance": "CONFIRMED",
  "qualification_certificate": "VAL-MIG-CDS-CERT-01"
}

5. Regulatory Compliance Impact

Proves data migration did not corrupt, alter, or truncate historical chromatographic records, satisfying GAMP 5 Appendix D6 and FDA cGMP requirements.

20. SpreadsheetValidationAgent

Scenario: QC Formulation Calculation Spreadsheet GAMP Category 5 Qualification

Specialization: Spreadsheet Validator
Governing Regulations: 21 CFR Part 11, ISPE GAMP 5 Category 5, FDA Guidance for Industry
Operational Pre-conditions: Analytical laboratory using Microsoft Excel workbook for finished product content uniformity calculations.

1. Input Trigger & Invocation Payload

response = await spreadsheet_validation_agent.run(
    "Validate QC formulation spreadsheet CALC-UNIFORM-04 against GAMP 5 Category 5 and 21 CFR Part 11 cell protection standards.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Inspects Excel XML structure:
- Audits cell formulas for hidden circular references and unvalidated macro VBA code.
- Evaluates cell protection locks on calculation cells ($B12:D45$).
- Inspects version control metadata, author credits, and password-protected cell properties.
Generates test boundary challenges (e.g., negative sample mass, alphabetic input in numerical fields, divide-by-zero).

3. EvidenceGate Verification

Checks validation policy SOP-VAL-SPREADSHEET-01 against current repository hashes.

4. Structured Output Payload

Returns SpreadsheetValidationResponse:

{
  "spreadsheet_id": "CALC-UNIFORM-04",
  "gamp_category": 5,
  "formula_integrity": "VALIDATED",
  "part_11_gaps": [
    "Cells E14 through E20 containing intermediate standard deviation formulas lack locked worksheet protection.",
    "Workbook lacks automated audit trail logging of cell modification timestamps."
  ],
  "remediation_plan": [
    "Lock and password-protect all formula cells with QA-controlled administrative key.",
    "Migrate complex calculation routines into validated LIMS calculation engine."
  ],
  "validation_status": "PROVISIONALLY_QUALIFIED"
}

5. Regulatory Compliance Impact

Remediates common laboratory spreadsheet compliance deficiencies that frequently result in FDA warning letters citing uncontrolled spreadsheets and lack of formula verification.

21. DisasterRecoveryAgent

Scenario: Continuous Cloud Backup & WAL Streaming SLA Verification

Specialization: Business Continuity & DR Lead
Governing Regulations: 21 CFR § 11.10(c), EU Annex 11 Clauses 7 & 16, SOP-IT-018
Operational Pre-conditions: Daily automated cloud snapshot and continuous WAL replication verification across all databases.

1. Input Trigger & Invocation Payload

response = await disaster_recovery_agent.run(
    "Audit continuous WAL streaming, AES-256 encryption, and recovery SLA thresholds for primary database cluster.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Queries PostgreSQL streaming replication status:

SELECT client_addr, state, sync_state,
       pg_wal_lsn_diff(pg_current_wal_lsn(), write_lsn) AS replication_lag_bytes
FROM pg_stat_replication;

Checks snapshot storage bucket in RustFS/S3:
- Verifies daily full snapshot snapshot-2026-09-06.tar.gz.enc.
- Checks AES-256 encryption envelope metadata and KMS key rotation status.
Evaluates SLA compliance: RTO $\le$ 4.0 hours, RPO $\le$ 1.0 hour.

3. EvidenceGate Verification

Verifies SOP-IT-018 backup policy version and compares snapshot cryptographic hash against the append-only ledger.

4. Structured Output Payload

Returns DisasterRecoveryResponse:

{
  "system_scope": "PRIMARY_DATABASE_CLUSTER",
  "governing_sop": "SOP-IT-018",
  "wal_streaming_status": "ACTIVE_SYNCHRONOUS",
  "replication_lag_seconds": 0.12,
  "rpo_achieved_hours": 0.002,
  "rto_achieved_hours": 0.35,
  "sla_compliant": true,
  "encryption_verified": "AES-256-GCM with automated KMS key rotation",
  "disaster_recovery_posture": "FULLY_QUALIFIED"
}

5. Regulatory Compliance Impact

Demonstrates active data durability and continuous business continuity, satisfying EU Annex 11 Clauses 7 and 16.

22. VendorAssessmentCsaAgent

Scenario: AI Model Provider Qualification under ISO/IEC 42001 & FDA CSA

Specialization: Cloud & AI Foundation Assessor
Governing Regulations: ISO/IEC 42001 (AI Management Systems), ISO 13485:7.4, FDA CSA Guidance
Operational Pre-conditions: Evaluating on-premises Ollama inference engine and cloud LLM API endpoint for GxP document summarization.

1. Input Trigger & Invocation Payload

response = await vendor_assessment_csa_agent.run(
    "Perform GxP qualification assessment for on-premises Ollama local inference deployment versus cloud DeepSeek API.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Evaluates data confidentiality, zero-data-retention agreements, and on-premises boundary isolation.
Assesses algorithmic determinism:
- Temperature locking ($T = 0.0$ for regulatory extractions).
- Random seed repeatability.
- Pydantic schema validation self-healing loops.
Evaluates supplier change notification for foundational model weights.

3. EvidenceGate Verification

Retrieves and checks security whitepapers and SOC 2 Type II reports from RustFS repository.

4. Structured Output Payload

Returns VendorAssessmentResponse:

{
  "vendor_solution": "On-Premises Ollama Inference Engine",
  "gxp_suitability": "APPROVED_FOR_CONFIDENTIAL_GXP",
  "data_leakage_risk": "ZERO (Fully air-gapped on-premises GPU cluster)",
  "determinism_controls": [
    "Mandatory temperature lock at 0.0",
    "Seed locking on all regulatory extraction pipelines",
    "EvidenceGate post-processing hash validation"
  ],
  "cloud_alternative_status": "Restricted to non-proprietary public documents unless Business Associate Agreement (BAA) and Zero-Retention agreement executed."
}

5. Regulatory Compliance Impact

Provides formal regulatory justification for using modern LLMs in GxP environments, satisfying emerging FDA and ISO/IEC 42001 governance expectations.

23. DocumentTriageAgent

Scenario: S3 Bucket Automated Ingestion & GAMP 5 Category Selection

Specialization: S3 File Ingestion Classifier
Governing Regulations: GAMP 5 Document Hierarchies, ISO 13485:4.2
Operational Pre-conditions: Raw document batch uploaded to S3 incoming ingestion bucket.

1. Input Trigger & Invocation Payload

response = await document_triage_agent.run(
    "Classify incoming uploaded document DOC-RAW-9921.pdf, determine GAMP 5 category, and route for vector/graph embedding.",
    deps=deps
)

2. Specialist Reasoning & Multi-Database Traversal

Ingests raw document text extracted via PyPDF2 / pdfplumber.
Classifies document type:
- Quality Policy, Standard Operating Procedure (SOP), Work Instruction, User Requirements Specification (URS), Functional Specification (FS), or Test Protocol (IQ/OQ/PQ).
Assigns ISPE GAMP 5 software categorization based on technical keywords and architectural descriptions.
Generates chunking strategy (semantic boundaries vs hierarchical headers).

3. EvidenceGate Verification

Computes SHA-256 checksum of raw binary file upon landing in S3/RustFS and registers hash in PostgreSQL table controlled_documents.

4. Structured Output Payload

Returns DocumentTriageResponse:

{
  "document_id": "DOC-RAW-9921",
  "inferred_title": "Waters Empower 3 Chromatography Data System Configuration Specification",
  "document_type": "FUNCTIONAL_SPECIFICATION",
  "system_code": "CDS",
  "gamp_category": 4,
  "target_collections": ["pg_documents", "qdrant_gxp_vectors", "memgraph_lpg"],
  "chunk_count": 28,
  "sha256_checksum": "9f83c12a7d45...b819",
  "ready_for_pipeline": true
}

5. Regulatory Compliance Impact

Ensures that all incoming regulatory documentation is cryptographically fingerprinted, correctly categorized, and accurately routed into the hybrid retrieval engine without human data entry errors.