Add conflict detection step to CDS pipeline

- Add ConflictType enum, ClinicalConflict, ConflictDetectionResult models to schemas
- Add conflicts field to CDSReport and conflict_detection to AgentState
- Create conflict_detection.py tool (compares guidelines vs patient data)
- Wire as Step 5 in orchestrator between guideline retrieval and synthesis
- Update synthesis to accept and format conflict data in prompt
- Add fallback to copy detected conflicts into report if LLM misses them
- Add prominent Conflicts & Gaps section to frontend CDSReport.tsx
with severity-coded cards, guideline vs patient data comparison,
and suggested resolutions

src/backend/app/agent/orchestrator.py

@@ -30,6 +30,7 @@ from app.tools.patient_parser import PatientParserTool
 from app.tools.clinical_reasoning import ClinicalReasoningTool
 from app.tools.drug_interactions import DrugInteractionTool
 from app.tools.guideline_retrieval import GuidelineRetrievalTool
+from app.tools.conflict_detection import ConflictDetectionTool
 from app.tools.synthesis import SynthesisTool
 
 
@@ -55,6 +56,7 @@ class Orchestrator:
         self.clinical_reasoning = ClinicalReasoningTool()
         self.drug_interaction = DrugInteractionTool()
         self.guideline_retrieval = GuidelineRetrievalTool()
+        self.conflict_detection = ConflictDetectionTool()
         self.synthesis = SynthesisTool()
 
         # State
@@ -94,6 +96,14 @@ class Orchestrator:
                     tool_name="guideline_retrieval",
                 )
             )
+        if case.include_guidelines:
+            steps.append(
+                AgentStep(
+                    step_id="conflicts",
+                    step_name="Conflict Detection",
+                    tool_name="conflict_detection",
+                )
+            )
         steps.append(
             AgentStep(
                 step_id="synthesize",
@@ -146,7 +156,11 @@ class Orchestrator:
                     else:
                         yield result
 
-            # ── Step 5: Synthesis ──
+            # ── Step 5: Conflict Detection ──
+            if case.include_guidelines:
+                yield await self._run_step("conflicts", self._step_conflict_detection)
+
+            # ── Step 6: Synthesis ──
             yield await self._run_step("synthesize", self._step_synthesize)
 
             self._state.completed_at = datetime.utcnow()
@@ -246,13 +260,31 @@ class Orchestrator:
         step = self._get_step("guidelines")
         step.output_summary = f"{len(result.excerpts)} guideline excerpts retrieved"
 
+    async def _step_conflict_detection(self):
+        """Step 5: Detect conflicts between guidelines and patient data."""
+        result = await self.conflict_detection.run(
+            patient_profile=self._state.patient_profile,
+            clinical_reasoning=self._state.clinical_reasoning,
+            drug_interactions=self._state.drug_interactions,
+            guideline_retrieval=self._state.guideline_retrieval,
+        )
+        self._state.conflict_detection = result
+
+        step = self._get_step("conflicts")
+        n = len(result.conflicts)
+        if n == 0:
+            step.output_summary = "No conflicts detected"
+        else:
+            step.output_summary = f"{n} conflict(s) detected — {result.summary}"
+
     async def _step_synthesize(self):
-        """Step 5: Synthesize all tool outputs into a final CDS report."""
+        """Step 6: Synthesize all tool outputs into a final CDS report."""
         report = await self.synthesis.run(
             patient_profile=self._state.patient_profile,
             clinical_reasoning=self._state.clinical_reasoning,
             drug_interactions=self._state.drug_interactions,
             guideline_retrieval=self._state.guideline_retrieval,
+            conflict_detection=self._state.conflict_detection,
         )
         self._state.final_report = report
 

src/backend/app/models/schemas.py

@@ -155,6 +155,39 @@ class GuidelineRetrievalResult(BaseModel):
     excerpts: List[GuidelineExcerpt] = Field(default_factory=list)
 
 
+# ──────────────────────────────────────────────
+# Conflict Detection Models
+# ──────────────────────────────────────────────
+
+class ConflictType(str, Enum):
+    OMISSION = "omission"                # Guideline recommends X, patient not receiving X
+    CONTRADICTION = "contradiction"      # Patient's current care contradicts guideline
+    DOSAGE = "dosage"                    # Dose adjustment criteria apply to this patient
+    MONITORING = "monitoring"            # Required monitoring not documented/ordered
+    ALLERGY_RISK = "allergy_risk"        # Guideline suggests drug patient is allergic to
+    INTERACTION_GAP = "interaction_gap"  # Drug interaction not addressed in current plan
+
+
+class ClinicalConflict(BaseModel):
+    """A single detected conflict between guidelines and patient data."""
+    conflict_type: ConflictType = Field(..., description="Category of the conflict")
+    severity: Severity = Field(..., description="Potential clinical impact")
+    guideline_source: str = Field(..., description="Which guideline flagged this")
+    guideline_text: str = Field(..., description="What the guideline recommends")
+    patient_data: str = Field(..., description="Relevant patient data that conflicts")
+    description: str = Field(..., description="Plain-language explanation of the gap")
+    suggested_resolution: Optional[str] = Field(
+        None, description="Potential resolution for the clinician to consider"
+    )
+
+
+class ConflictDetectionResult(BaseModel):
+    """Output of the Conflict Detection tool."""
+    conflicts: List[ClinicalConflict] = Field(default_factory=list)
+    guidelines_checked: int = Field(0, description="Number of guidelines compared")
+    summary: str = Field("", description="Brief summary of conflict analysis")
+
+
 # ──────────────────────────────────────────────
 # Final CDS Report
 # ──────────────────────────────────────────────
@@ -175,6 +208,10 @@ class CDSReport(BaseModel):
         default_factory=list,
         description="Limitations, uncertainties, and disclaimers"
     )
+    conflicts: List[ClinicalConflict] = Field(
+        default_factory=list,
+        description="Detected conflicts between guidelines and patient care"
+    )
     sources_cited: List[str] = Field(default_factory=list)
     generated_at: datetime = Field(default_factory=datetime.utcnow)
 
@@ -203,6 +240,7 @@ class AgentState(BaseModel):
     clinical_reasoning: Optional[ClinicalReasoningResult] = None
     drug_interactions: Optional[DrugInteractionResult] = None
     guideline_retrieval: Optional[GuidelineRetrievalResult] = None
+    conflict_detection: Optional[ConflictDetectionResult] = None
     final_report: Optional[CDSReport] = None
     started_at: Optional[datetime] = None
     completed_at: Optional[datetime] = None

src/backend/app/tools/conflict_detection.py

@@ -0,0 +1,254 @@
+"""
+Tool: Conflict Detection
+
+Compares retrieved clinical guidelines against the patient's actual data to
+surface gaps, omissions, contradictions, and monitoring deficiencies.
+
+This step runs AFTER guideline retrieval and BEFORE synthesis, giving the
+synthesis engine explicit conflict data to highlight in the final report.
+"""
+from __future__ import annotations
+
+import logging
+from typing import Optional
+
+from app.models.schemas import (
+    ClinicalReasoningResult,
+    ConflictDetectionResult,
+    DrugInteractionResult,
+    GuidelineRetrievalResult,
+    PatientProfile,
+)
+from app.services.medgemma import MedGemmaService
+
+logger = logging.getLogger(__name__)
+
+SYSTEM_PROMPT = """You are a clinical safety reviewer. Your SOLE job is to compare 
+clinical guideline recommendations against this patient's actual data and identify 
+conflicts, gaps, and omissions.
+
+CRITICAL RULES:
+1. Only flag SPECIFIC, ACTIONABLE conflicts — not vague concerns
+2. Every conflict MUST reference a specific guideline AND specific patient data
+3. Be precise about the conflict type:
+   - OMISSION: Guideline recommends something the patient is NOT receiving
+   - CONTRADICTION: Patient's current treatment CONFLICTS with guideline advice
+   - DOSAGE: Guideline specifies dose adjustments that apply to this patient (age, renal function, etc.)
+   - MONITORING: Guideline requires monitoring that is not documented as ordered
+   - ALLERGY_RISK: Guideline-recommended treatment involves a medication the patient is allergic to
+   - INTERACTION_GAP: Known drug interaction is not addressed in the care plan
+4. Severity levels:
+   - CRITICAL: Immediate patient safety risk (e.g., allergy to recommended drug)
+   - HIGH: Significant clinical concern requiring prompt attention
+   - MODERATE: Important gap that should be addressed
+   - LOW: Minor optimization opportunity
+5. If there are NO genuine conflicts, return an empty list — do NOT fabricate issues
+6. For each conflict, suggest a concrete resolution when possible"""
+
+
+CONFLICT_PROMPT = """Analyze the following patient case against the retrieved clinical 
+guidelines. Identify any conflicts, gaps, omissions, or safety concerns.
+
+═══ PATIENT PROFILE ═══
+{patient_profile}
+
+═══ CLINICAL REASONING ═══
+{clinical_reasoning}
+
+═══ DRUG INTERACTIONS ═══
+{drug_interactions}
+
+═══ RETRIEVED GUIDELINES ═══
+{guidelines}
+
+For each conflict found, provide:
+- conflict_type: one of [omission, contradiction, dosage, monitoring, allergy_risk, interaction_gap]
+- severity: one of [low, moderate, high, critical]
+- guideline_source: which guideline flagged this
+- guideline_text: the specific recommendation from the guideline
+- patient_data: the specific patient data that conflicts
+- description: plain-language explanation
+- suggested_resolution: what the clinician should consider
+
+Return ALL conflicts found. If none exist, return an empty conflicts list."""
+
+
+class ConflictDetectionTool:
+    """
+    Detects conflicts between clinical guideline recommendations and patient data.
+
+    Takes the patient profile, clinical reasoning, drug interaction results, and
+    retrieved guidelines, then uses MedGemma to identify specific gaps and
+    contradictions that should be surfaced to the clinician.
+    """
+
+    def __init__(self):
+        self.medgemma = MedGemmaService()
+
+    async def run(
+        self,
+        patient_profile: Optional[PatientProfile],
+        clinical_reasoning: Optional[ClinicalReasoningResult],
+        drug_interactions: Optional[DrugInteractionResult],
+        guideline_retrieval: Optional[GuidelineRetrievalResult],
+    ) -> ConflictDetectionResult:
+        """
+        Run conflict detection across all available data.
+
+        Args:
+            patient_profile: Structured patient data
+            clinical_reasoning: Differential diagnosis and recommendations
+            drug_interactions: Drug interaction check results
+            guideline_retrieval: Retrieved clinical guideline excerpts
+
+        Returns:
+            ConflictDetectionResult with any identified conflicts
+        """
+        # If no guidelines were retrieved, there's nothing to compare against
+        if not guideline_retrieval or not guideline_retrieval.excerpts:
+            logger.info("No guidelines available — skipping conflict detection")
+            return ConflictDetectionResult(
+                conflicts=[],
+                guidelines_checked=0,
+                summary="No guidelines available for comparison",
+            )
+
+        prompt = CONFLICT_PROMPT.format(
+            patient_profile=self._format_profile(patient_profile),
+            clinical_reasoning=self._format_reasoning(clinical_reasoning),
+            drug_interactions=self._format_interactions(drug_interactions),
+            guidelines=self._format_guidelines(guideline_retrieval),
+        )
+
+        result = await self.medgemma.generate_structured(
+            prompt=prompt,
+            response_model=ConflictDetectionResult,
+            system_prompt=SYSTEM_PROMPT,
+            temperature=0.1,  # Low temp for safety-critical analysis
+            max_tokens=4096,
+        )
+
+        # Fill in metadata
+        result.guidelines_checked = len(guideline_retrieval.excerpts)
+        if not result.summary:
+            n = len(result.conflicts)
+            if n == 0:
+                result.summary = (
+                    f"No conflicts detected across {result.guidelines_checked} guidelines"
+                )
+            else:
+                critical = sum(
+                    1 for c in result.conflicts if c.severity.value == "critical"
+                )
+                high = sum(
+                    1 for c in result.conflicts if c.severity.value == "high"
+                )
+                result.summary = (
+                    f"{n} conflict(s) detected"
+                    + (f" ({critical} critical)" if critical else "")
+                    + (f" ({high} high)" if high else "")
+                )
+
+        logger.info(
+            "Conflict detection complete — %d conflicts found across %d guidelines",
+            len(result.conflicts),
+            result.guidelines_checked,
+        )
+        return result
+
+    # ── Formatters (reuse the same style as synthesis) ──
+
+    @staticmethod
+    def _format_profile(profile: Optional[PatientProfile]) -> str:
+        if not profile:
+            return "Patient profile not available"
+        parts = [
+            f"Age: {profile.age or 'Unknown'}, Gender: {profile.gender.value}",
+            f"Chief Complaint: {profile.chief_complaint}",
+            f"HPI: {profile.history_of_present_illness}",
+        ]
+        if profile.past_medical_history:
+            parts.append(f"PMH: {', '.join(profile.past_medical_history)}")
+        if profile.current_medications:
+            meds = "; ".join(
+                f"{m.name} {m.dose or ''}" for m in profile.current_medications
+            )
+            parts.append(f"Medications: {meds}")
+        if profile.allergies:
+            parts.append(f"Allergies: {', '.join(profile.allergies)}")
+        if profile.lab_results:
+            labs = "; ".join(
+                f"{l.test_name}: {l.value}{' [ABNORMAL]' if l.is_abnormal else ''}"
+                for l in profile.lab_results
+            )
+            parts.append(f"Labs: {labs}")
+        if profile.vital_signs:
+            vs = profile.vital_signs
+            vitals = []
+            if vs.blood_pressure:
+                vitals.append(f"BP: {vs.blood_pressure}")
+            if vs.heart_rate:
+                vitals.append(f"HR: {vs.heart_rate}")
+            if vs.temperature:
+                vitals.append(f"Temp: {vs.temperature}")
+            if vs.oxygen_saturation:
+                vitals.append(f"SpO2: {vs.oxygen_saturation}")
+            if vitals:
+                parts.append(f"Vitals: {', '.join(vitals)}")
+        return "\n".join(parts)
+
+    @staticmethod
+    def _format_reasoning(reasoning: Optional[ClinicalReasoningResult]) -> str:
+        if not reasoning:
+            return "Clinical reasoning not available"
+        parts = []
+        if reasoning.differential_diagnosis:
+            parts.append("Differential Diagnosis:")
+            for i, dx in enumerate(reasoning.differential_diagnosis, 1):
+                parts.append(
+                    f"  {i}. {dx.diagnosis} (likelihood: {dx.likelihood.value}) — {dx.reasoning}"
+                )
+        if reasoning.risk_assessment:
+            parts.append(f"Risk Assessment: {reasoning.risk_assessment}")
+        if reasoning.recommended_workup:
+            parts.append("Recommended Workup:")
+            for action in reasoning.recommended_workup:
+                parts.append(
+                    f"  - [{action.priority.value.upper()}] {action.action} — {action.rationale}"
+                )
+        return "\n".join(parts)
+
+    @staticmethod
+    def _format_interactions(interactions: Optional[DrugInteractionResult]) -> str:
+        if not interactions:
+            return "Drug interaction check not performed"
+        if not interactions.interactions_found:
+            return (
+                f"No interactions found among "
+                f"{len(interactions.medications_checked)} medications checked"
+            )
+        parts = [f"Checked {len(interactions.medications_checked)} medications:"]
+        for ix in interactions.interactions_found:
+            parts.append(
+                f"  ⚠ {ix.drug_a} + {ix.drug_b} [{ix.severity.value.upper()}]: "
+                f"{ix.description}"
+            )
+        if interactions.warnings:
+            parts.append("Warnings: " + "; ".join(interactions.warnings))
+        return "\n".join(parts)
+
+    @staticmethod
+    def _format_guidelines(guidelines: Optional[GuidelineRetrievalResult]) -> str:
+        if not guidelines or not guidelines.excerpts:
+            return "No guidelines retrieved"
+        parts = [f"Query: {guidelines.query}", "Retrieved excerpts:"]
+        for excerpt in guidelines.excerpts:
+            score = (
+                f" (relevance: {excerpt.relevance_score})"
+                if excerpt.relevance_score
+                else ""
+            )
+            parts.append(f"  [{excerpt.source}] {excerpt.title}{score}")
+            # Include full excerpt text for conflict analysis (unlike synthesis which truncates)
+            parts.append(f"    {excerpt.excerpt}")
+        return "\n".join(parts)

src/backend/app/tools/synthesis.py

@@ -13,6 +13,7 @@ from typing import Optional
 from app.models.schemas import (
     CDSReport,
     ClinicalReasoningResult,
+    ConflictDetectionResult,
     DrugInteractionResult,
     GuidelineRetrievalResult,
     PatientProfile,
@@ -48,14 +49,20 @@ Clinical Decision Support report.
 ═══ CLINICAL GUIDELINES ═══
 {guidelines}
 
+═══ CONFLICTS & GAPS DETECTED ═══
+{conflicts}
+
 Create a comprehensive CDS report including:
 1. Patient Summary — concise summary of the case
 2. Differential Diagnosis — ranked with reasoning, integrating guideline concordance
 3. Drug Interaction Warnings — any flagged interactions with clinical significance
 4. Guideline-Concordant Recommendations — actionable steps aligned with guidelines
-5. Suggested Next Steps — prioritized actions for the clinician
-6. Caveats — limitations, uncertainties, and important disclaimers
-7. Sources — cited guidelines and data sources used"""
+5. Conflicts & Gaps — PROMINENTLY include every detected conflict. For each conflict,
+   state what the guideline recommends, what the patient's current state is, and the
+   suggested resolution. This section is CRITICAL for patient safety.
+6. Suggested Next Steps — prioritized actions for the clinician, incorporating conflict resolutions
+7. Caveats — limitations, uncertainties, and important disclaimers
+8. Sources — cited guidelines and data sources used"""
 
 
 class SynthesisTool:
@@ -70,6 +77,7 @@ class SynthesisTool:
         clinical_reasoning: Optional[ClinicalReasoningResult],
         drug_interactions: Optional[DrugInteractionResult],
         guideline_retrieval: Optional[GuidelineRetrievalResult],
+        conflict_detection: Optional[ConflictDetectionResult] = None,
     ) -> CDSReport:
         """
         Synthesize all available tool outputs into a final CDS report.
@@ -88,6 +96,7 @@ class SynthesisTool:
             clinical_reasoning=self._format_reasoning(clinical_reasoning),
             drug_interactions=self._format_interactions(drug_interactions),
             guidelines=self._format_guidelines(guideline_retrieval),
+            conflicts=self._format_conflicts(conflict_detection),
         )
 
         report = await self.medgemma.generate_structured(
@@ -105,6 +114,12 @@ class SynthesisTool:
             "be verified by a qualified clinician before acting on them."
         )
 
+        # Ensure detected conflicts are always surfaced even if LLM doesn't
+        # populate the conflicts field in its structured output
+        if conflict_detection and conflict_detection.conflicts:
+            if not report.conflicts:
+                report.conflicts = conflict_detection.conflicts
+
         logger.info("Synthesis complete — CDS report generated")
         return report
 
@@ -178,3 +193,22 @@ class SynthesisTool:
             parts.append(f"  [{excerpt.source}] {excerpt.title}{score}")
             parts.append(f"    {excerpt.excerpt[:300]}...")
         return "\n".join(parts)
+
+    @staticmethod
+    def _format_conflicts(conflicts: Optional[ConflictDetectionResult]) -> str:
+        if not conflicts or not conflicts.conflicts:
+            return "No conflicts detected between guidelines and patient data"
+        parts = [
+            f"{len(conflicts.conflicts)} conflict(s) detected "
+            f"across {conflicts.guidelines_checked} guidelines:"
+        ]
+        for i, c in enumerate(conflicts.conflicts, 1):
+            parts.append(
+                f"\n  {i}. [{c.severity.value.upper()}] {c.conflict_type.value.upper()}"
+            )
+            parts.append(f"     Guideline ({c.guideline_source}): {c.guideline_text}")
+            parts.append(f"     Patient data: {c.patient_data}")
+            parts.append(f"     Issue: {c.description}")
+            if c.suggested_resolution:
+                parts.append(f"     Suggested resolution: {c.suggested_resolution}")
+        return "\n".join(parts)

src/frontend/src/components/CDSReport.tsx

@@ -14,6 +14,15 @@ interface Report {
     severity: string;
     description: string;
   }>;
+  conflicts: Array<{
+    conflict_type: string;
+    severity: string;
+    guideline_source: string;
+    guideline_text: string;
+    patient_data: string;
+    description: string;
+    suggested_resolution?: string;
+  }>;
   guideline_recommendations: string[];
   suggested_next_steps: Array<{
     action: string;
@@ -41,6 +50,38 @@ const LIKELIHOOD_BADGE: Record<string, string> = {
   low: "bg-gray-100 text-gray-600",
 };
 
+const CONFLICT_TYPE_LABEL: Record<string, string> = {
+  omission: "Omission",
+  contradiction: "Contradiction",
+  dosage: "Dosage Concern",
+  monitoring: "Monitoring Gap",
+  allergy_risk: "Allergy Risk",
+  interaction_gap: "Interaction Gap",
+};
+
+const CONFLICT_SEVERITY_STYLE: Record<string, { bg: string; border: string; icon: string }> = {
+  critical: {
+    bg: "bg-red-50",
+    border: "border-red-400",
+    icon: "🔴",
+  },
+  high: {
+    bg: "bg-orange-50",
+    border: "border-orange-400",
+    icon: "🟠",
+  },
+  moderate: {
+    bg: "bg-yellow-50",
+    border: "border-yellow-400",
+    icon: "🟡",
+  },
+  low: {
+    bg: "bg-blue-50",
+    border: "border-blue-300",
+    icon: "🔵",
+  },
+};
+
 export function CDSReport({ report }: CDSReportProps) {
   return (
     <div className="space-y-6">
@@ -124,6 +165,81 @@ export function CDSReport({ report }: CDSReportProps) {
         </Section>
       )}
 
+      {/* Conflicts & Gaps — PROMINENTLY displayed */}
+      {report.conflicts && report.conflicts.length > 0 && (
+        <div className="bg-white rounded-xl border-2 border-red-300 p-5 ring-1 ring-red-100">
+          <div className="flex items-center gap-2 mb-4">
+            <span className="text-xl">🚨</span>
+            <h3 className="text-base font-bold text-red-800">
+              Conflicts &amp; Gaps Detected ({report.conflicts.length})
+            </h3>
+          </div>
+          <p className="text-xs text-red-600 mb-4">
+            The following conflicts were identified between clinical guideline
+            recommendations and this patient&apos;s current data. Review each item
+            carefully.
+          </p>
+          <div className="space-y-3">
+            {report.conflicts.map((conflict, i) => {
+              const style =
+                CONFLICT_SEVERITY_STYLE[conflict.severity] ||
+                CONFLICT_SEVERITY_STYLE.moderate;
+              return (
+                <div
+                  key={i}
+                  className={`p-4 rounded-lg border-l-4 ${style.bg} ${style.border}`}
+                >
+                  <div className="flex items-center gap-2 mb-2">
+                    <span>{style.icon}</span>
+                    <span className="text-xs font-bold uppercase text-gray-500">
+                      {CONFLICT_TYPE_LABEL[conflict.conflict_type] ||
+                        conflict.conflict_type}
+                    </span>
+                    <span className="text-xs font-semibold uppercase px-2 py-0.5 rounded bg-white/60">
+                      {conflict.severity}
+                    </span>
+                  </div>
+                  <p className="text-sm font-medium text-gray-800 mb-2">
+                    {conflict.description}
+                  </p>
+                  <div className="grid grid-cols-1 sm:grid-cols-2 gap-2 text-xs">
+                    <div className="bg-white/50 rounded p-2">
+                      <span className="font-semibold text-gray-500 block mb-0.5">
+                        Guideline says:
+                      </span>
+                      <span className="text-gray-700">
+                        {conflict.guideline_text}
+                      </span>
+                      <span className="block text-gray-400 mt-1">
+                        — {conflict.guideline_source}
+                      </span>
+                    </div>
+                    <div className="bg-white/50 rounded p-2">
+                      <span className="font-semibold text-gray-500 block mb-0.5">
+                        Patient data:
+                      </span>
+                      <span className="text-gray-700">
+                        {conflict.patient_data}
+                      </span>
+                    </div>
+                  </div>
+                  {conflict.suggested_resolution && (
+                    <div className="mt-2 p-2 bg-green-50 border border-green-200 rounded text-xs">
+                      <span className="font-semibold text-green-700">
+                        Suggested resolution:{" "}
+                      </span>
+                      <span className="text-green-800">
+                        {conflict.suggested_resolution}
+                      </span>
+                    </div>
+                  )}
+                </div>
+              );
+            })}
+          </div>
+        </div>
+      )}
+
       {/* Guideline Recommendations */}
       {report.guideline_recommendations.length > 0 && (
         <Section title="📖 Guideline-Concordant Recommendations">

src/frontend/tsconfig.tsbuildinfo

@@ -0,0 +1 @@
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