Expand JWT auth integration tests from 17 to 33 cases

Add comprehensive edge-case coverage for issue #1624:

- Admin delete user endpoint (5 tests): successful delete, self-delete
  prevention, nonexistent user 404, non-admin 403, missing token rejection
- Admin role change gaps (2 tests): nonexistent user 404, non-admin 403
- Input validation (3 tests): invalid email 422, short password 422,
  missing fields 422 for both register and login
- Token edge cases (4 tests): malformed token, wrong-secret token,
  deleted user token, deleted user refresh
- Token claim verification (1 test): login tokens contain correct claims

All tests use mocked DB fixtures and require no live database.

Closes leeworks-agents/SPARC#1624

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

.env.example

@@ -47,12 +47,27 @@ STORAGE_BACKEND=local
 # AWS_SECRET_ACCESS_KEY=minioadmin
 # To start MinIO locally: docker compose --profile s3 up -d minio
 
+# ---- LLM ----
+
+# LLM model to use via OpenRouter
+# Supported: anthropic/claude-3.5-sonnet, openai/gpt-4o, openai/gpt-4o-mini,
+#            google/gemini-pro-1.5, meta-llama/llama-3.1-70b-instruct
+# MODEL=anthropic/claude-3.5-sonnet
+
 # ---- Cache ----
 
 # When USE_CACHE=true: check database for cached responses before making API calls
 # When USE_CACHE=false: always make fresh API calls (still stores results in database)
 USE_CACHE=true
 
+# SERP API cache TTL in hours (how long cached search results are considered fresh)
+# SERP_CACHE_TTL_HOURS=24
+
+# ---- Logging ----
+
+# Log level: DEBUG, INFO, WARNING, ERROR, CRITICAL
+# LOG_LEVEL=INFO
+
 # ---- Webhooks ----
 
 # Comma-separated list of webhook URLs for job completion and alert notifications

.gitea/workflows/build.yaml

@@ -15,7 +15,7 @@ jobs:
       - name: Install system dependencies
         shell: sh
         run: |
-          apk add --no-cache git python3 py3-pip gcc musl-dev libpq-dev python3-dev
+          apt-get update && apt-get install -y git python3 python3-pip gcc libpq-dev python3-dev
 
       - name: Checkout code
         shell: sh
@@ -26,13 +26,27 @@ jobs:
       - name: Install Python dependencies
         shell: sh
         run: |
-          pip3 install --break-system-packages -r requirements.txt ruff
+          pip3 install -r requirements.txt ruff
 
       - name: Run ruff linter
         shell: sh
         run: |
           ruff check SPARC/ tests/
 
+      - name: Install Node.js and check TypeScript types
+        shell: sh
+        run: |
+          apt-get install -y nodejs npm
+          cd frontend
+          npm ci
+          npm run generate:local
+          if ! git diff --quiet src/api/schema.d.ts; then
+            echo "ERROR: src/api/schema.d.ts is out of date. Run 'npm run generate:local' and commit the result."
+            git diff src/api/schema.d.ts
+            exit 1
+          fi
+          npx tsc --noEmit
+
       - name: Run pytest
         shell: sh
         env:
@@ -42,6 +56,7 @@ jobs:
           JWT_SECRET: "test-secret-for-ci"
           APP_ENV: "development"
         run: |
+          pip3 install pytest
           python3 -m pytest tests/ -v --tb=short -x
 
   build-api:
@@ -51,7 +66,7 @@ jobs:
       - name: Install dependencies
         shell: sh
         run: |
-          apk add --no-cache git docker-cli
+          apt-get update && apt-get install -y git docker.io
 
       - name: Checkout code
         shell: sh
@@ -123,7 +138,7 @@ jobs:
       - name: Install dependencies
         shell: sh
         run: |
-          apk add --no-cache git docker-cli
+           apt-get update && apt-get install -y git docker.io
 
       - name: Checkout code
         shell: sh

.gitea/workflows/test.yaml

@@ -16,7 +16,7 @@ jobs:
       - name: Install system dependencies
         shell: sh
         run: |
-          apk add --no-cache git python3 py3-pip gcc musl-dev libpq-dev python3-dev
+          apt-get update && apt-get install -y git python3 python3-pip gcc libpq-dev python3-dev
 
       - name: Checkout code
         shell: sh
@@ -27,7 +27,7 @@ jobs:
       - name: Install Python dependencies
         shell: sh
         run: |
-          pip3 install --break-system-packages -r requirements.txt ruff
+          pip3 install -r requirements.txt ruff
 
       - name: Run ruff linter
         shell: sh
@@ -37,9 +37,19 @@ jobs:
       - name: Install Node.js and frontend dependencies
         shell: sh
         run: |
-          apk add --no-cache nodejs npm
+          apt-get install -y nodejs npm
           cd frontend && npm ci
 
+      - name: Verify generated API types are up to date
+        shell: sh
+        run: |
+          cd frontend && npm run generate:local
+          if ! git diff --quiet src/api/schema.d.ts; then
+            echo "ERROR: src/api/schema.d.ts is out of date. Run 'npm run generate:local' and commit the result."
+            git diff src/api/schema.d.ts
+            exit 1
+          fi
+
       - name: Run TypeScript type check
         shell: sh
         run: |

SPARC/analyzer.py

@@ -10,13 +10,13 @@ from concurrent.futures import ThreadPoolExecutor, as_completed
 from typing import Callable
 
 from SPARC import config
-
-logger = logging.getLogger(__name__)
 from SPARC.database import DatabaseClient
 from SPARC.llm import LLMAnalyzer
 from SPARC.serp_api import SERP
 from SPARC.types import BatchAnalysisResult, CompanyAnalysisResult, Patent, Patents
 
+logger = logging.getLogger(__name__)
+
 
 class CompanyAnalyzer:
     """Orchestrates end-to-end company performance analysis via patents."""
@@ -33,7 +33,7 @@ class CompanyAnalyzer:
         self.db.connect()
         self.db.initialize_schema()
 
-    def analyze_company(self, company_name: str, patents: "Patents | None" = None) -> str:
+    def analyze_company(self, company_name: str, patents: "Patents | None" = None, model: str | None = None) -> str:
         """Analyze a company's performance based on their patent portfolio.
 
         This is the main entry point that orchestrates the full pipeline:
@@ -46,6 +46,7 @@ class CompanyAnalyzer:
         Args:
           company_name: Name of the company to analyze
           patents: Optional pre-fetched Patents result to avoid duplicate API calls
+          model: Optional LLM model override (e.g. 'openai/gpt-4o')
 
         Returns:
           Comprehensive analysis of company's innovation and performance outlook
@@ -100,12 +101,12 @@ class CompanyAnalyzer:
 
         # Analyze the full portfolio with LLM
         analysis = self.llm_analyzer.analyze_patent_portfolio(
-            patents_data=processed_patents, company_name=company_name
+            patents_data=processed_patents, company_name=company_name, model=model
         )
 
         return analysis
 
-    def analyze_single_patent(self, patent_id: str, company_name: str) -> str:
+    def analyze_single_patent(self, patent_id: str, company_name: str, model: str | None = None) -> str:
         """Analyze a single patent by ID.
 
         If the patent PDF is not already on disk, this method attempts to
@@ -116,6 +117,7 @@ class CompanyAnalyzer:
         Args:
           patent_id: Publication ID of the patent (e.g. "US-11234567-B2")
           company_name: Name of the company (for context)
+          model: Optional LLM model override (e.g. 'openai/gpt-4o')
 
         Returns:
           Analysis of the specific patent's innovation quality
@@ -151,7 +153,7 @@ class CompanyAnalyzer:
             minimized_content = SERP.minimize_patent_for_llm(sections)
 
             analysis = self.llm_analyzer.analyze_patent_content(
-                patent_content=minimized_content, company_name=company_name
+                patent_content=minimized_content, company_name=company_name, model=model
             )
 
             return analysis
@@ -201,18 +203,19 @@ class CompanyAnalyzer:
             logger.warning("Failed to process %s: %s", patent.patent_id, e)
             return None
 
-    def _analyze_company_safe(self, company_name: str) -> CompanyAnalysisResult:
+    def _analyze_company_safe(self, company_name: str, model: str | None = None) -> CompanyAnalysisResult:
         """Internal wrapper that catches exceptions and returns structured result.
 
         Args:
             company_name: Name of the company to analyze
+            model: Optional LLM model override (e.g. 'openai/gpt-4o')
 
         Returns:
             CompanyAnalysisResult with success/failure status
         """
         try:
             # Delegate to analyze_company which handles SERP/patent caching
-            analysis = self.analyze_company(company_name)
+            analysis = self.analyze_company(company_name, model=model)
 
             # Determine patent count from cached SERP query
             query_hash = hashlib.sha256(company_name.lower().encode()).hexdigest()
@@ -252,6 +255,7 @@ class CompanyAnalyzer:
         companies: list[str],
         max_workers: int = 3,
         progress_callback: Callable[[str, int, int], None] | None = None,
+        model: str | None = None,
     ) -> BatchAnalysisResult:
         """Analyze multiple companies' patent portfolios in batch.
 
@@ -262,6 +266,7 @@ class CompanyAnalyzer:
             companies: List of company names to analyze
             max_workers: Maximum concurrent analyses (default 3 to avoid rate limits)
             progress_callback: Optional callback(company_name, completed, total)
+            model: Optional LLM model override (e.g. 'openai/gpt-4o')
 
         Returns:
             BatchAnalysisResult containing all individual results and summary stats
@@ -273,7 +278,7 @@ class CompanyAnalyzer:
 
         with ThreadPoolExecutor(max_workers=max_workers) as executor:
             future_to_company = {
-                executor.submit(self._analyze_company_safe, company): company
+                executor.submit(self._analyze_company_safe, company, model): company
                 for company in companies
             }
 

SPARC/api.py

@@ -3,9 +3,14 @@
 Provides REST API endpoints for analyzing company patent portfolios.
 """
 
+from __future__ import annotations
+
 from contextlib import asynccontextmanager
 from datetime import datetime
-from typing import Annotated, List
+from typing import TYPE_CHECKING, Annotated, List
+
+if TYPE_CHECKING:
+    from SPARC.database import DatabaseClient
 
 from fastapi import BackgroundTasks, Depends, FastAPI, HTTPException, Query, Request
 from fastapi.middleware.cors import CORSMiddleware
@@ -41,6 +46,7 @@ class CompanyAnalysisResponse(BaseModel):
     patent_count: int
     success: bool
     error: str | None = None
+    model: str | None = None
     timestamp: datetime
 
 
@@ -54,6 +60,15 @@ class BatchAnalysisResponse(BaseModel):
     timestamp: datetime
 
 
+class CompanyAnalysisRequest(BaseModel):
+    """Request model for single company analysis with optional model selection."""
+
+    model: str | None = Field(
+        default=None,
+        description="LLM model to use (e.g. 'anthropic/claude-3.5-sonnet', 'openai/gpt-4o'). Defaults to server config.",
+    )
+
+
 class BatchAnalysisRequest(BaseModel):
     """Request model for batch company analysis."""
 
@@ -63,6 +78,10 @@ class BatchAnalysisRequest(BaseModel):
     max_workers: int = Field(
         default=3, ge=1, le=5, description="Max concurrent analyses"
     )
+    model: str | None = Field(
+        default=None,
+        description="LLM model to use for all analyses in this batch. Defaults to server config.",
+    )
 
 
 class JobStatus(BaseModel):
@@ -140,6 +159,7 @@ def _convert_result(result: CompanyAnalysisResult) -> CompanyAnalysisResponse:
         patent_count=result.patent_count,
         success=result.success,
         error=result.error,
+        model=result.model,
         timestamp=result.timestamp,
     )
 
@@ -453,6 +473,46 @@ async def get_analytics(
     )
 
 
+# ============== Model Selection Endpoints ==============
+
+# Supported models via OpenRouter
+SUPPORTED_MODELS = [
+    {"id": "anthropic/claude-3.5-sonnet", "name": "Claude 3.5 Sonnet", "provider": "Anthropic"},
+    {"id": "openai/gpt-4o", "name": "GPT-4o", "provider": "OpenAI"},
+    {"id": "openai/gpt-4o-mini", "name": "GPT-4o Mini", "provider": "OpenAI"},
+    {"id": "google/gemini-pro-1.5", "name": "Gemini Pro 1.5", "provider": "Google"},
+    {"id": "meta-llama/llama-3.1-70b-instruct", "name": "Llama 3.1 70B", "provider": "Meta"},
+]
+
+_SUPPORTED_MODEL_IDS = {m["id"] for m in SUPPORTED_MODELS}
+
+
+def _validate_model(model: str | None) -> None:
+    """Raise HTTP 400 if *model* is not in the supported allow-list."""
+    if model is not None and model not in _SUPPORTED_MODEL_IDS:
+        raise HTTPException(
+            status_code=400,
+            detail=(
+                f"Unsupported model '{model}'. "
+                f"Supported models: {', '.join(sorted(_SUPPORTED_MODEL_IDS))}"
+            ),
+        )
+
+
+@app.get("/models", tags=["System"])
+async def list_models():
+    """List supported LLM models for analysis.
+
+    Returns the available models that can be passed as the `model` field
+    in analysis requests. The default model is determined by the `MODEL`
+    environment variable on the server.
+    """
+    return {
+        "models": SUPPORTED_MODELS,
+        "default": config.model,
+    }
+
+
 @app.get("/analytics/trends", tags=["Analytics"])
 async def get_analytics_trends(
     days: int = Query(default=90, ge=7, le=365),
@@ -580,6 +640,163 @@ async def export_company_csv(
     )
 
 
+@app.get("/export/{company_name}/pdf", tags=["Export"])
+async def export_company_pdf(
+    company_name: str,
+    _: UserResponse = Depends(get_current_user),
+):
+    """Export analysis results for a company as a formatted PDF report.
+
+    Returns all stored analysis records for the given company, including
+    analysis type, model used, response text, and timestamp, formatted
+    as a downloadable PDF document.
+
+    Args:
+        company_name: Company name to export results for
+
+    Returns:
+        PDF file download
+    """
+    import io
+
+    from reportlab.lib import colors
+    from reportlab.lib.pagesizes import letter
+    from reportlab.lib.styles import ParagraphStyle, getSampleStyleSheet
+    from reportlab.lib.units import inch
+    from reportlab.platypus import (
+        Paragraph,
+        SimpleDocTemplate,
+        Spacer,
+        Table,
+        TableStyle,
+    )
+
+    db = get_db_client()
+    with db.get_conn() as conn:
+        with conn.cursor() as cur:
+            cur.execute(
+                """
+                SELECT company_name, analysis_type, model, response, timestamp
+                FROM llm_messages
+                WHERE LOWER(company_name) = LOWER(%s) AND is_cached = FALSE
+                ORDER BY timestamp DESC
+                """,
+                (company_name,),
+            )
+            rows = cur.fetchall()
+
+    if not rows:
+        raise HTTPException(status_code=404, detail=f"No analysis results found for '{company_name}'")
+
+    buffer = io.BytesIO()
+    doc = SimpleDocTemplate(
+        buffer,
+        pagesize=letter,
+        rightMargin=0.75 * inch,
+        leftMargin=0.75 * inch,
+        topMargin=0.75 * inch,
+        bottomMargin=0.75 * inch,
+    )
+
+    styles = getSampleStyleSheet()
+    title_style = ParagraphStyle(
+        "CustomTitle",
+        parent=styles["Title"],
+        fontSize=20,
+        spaceAfter=6,
+    )
+    subtitle_style = ParagraphStyle(
+        "Subtitle",
+        parent=styles["Normal"],
+        fontSize=11,
+        textColor=colors.grey,
+        spaceAfter=20,
+    )
+    heading_style = ParagraphStyle(
+        "SectionHeading",
+        parent=styles["Heading2"],
+        fontSize=13,
+        spaceBefore=16,
+        spaceAfter=8,
+        textColor=colors.HexColor("#1a1a2e"),
+    )
+    body_style = ParagraphStyle(
+        "BodyText",
+        parent=styles["Normal"],
+        fontSize=9,
+        leading=13,
+        spaceAfter=10,
+    )
+
+    elements = []
+
+    # Title and date
+    display_name = rows[0][0]  # Use the casing from the database
+    analysis_date = datetime.now().strftime("%Y-%m-%d")
+    elements.append(Paragraph(f"SPARC Analysis Report: {display_name}", title_style))
+    elements.append(Paragraph(f"Generated on {analysis_date}", subtitle_style))
+
+    # Summary table
+    summary_data = [
+        ["Total Analyses", str(len(rows))],
+        ["Analysis Types", ", ".join(sorted(set(r[1] for r in rows)))],
+        ["Models Used", ", ".join(sorted(set(r[2] for r in rows)))],
+    ]
+    summary_table = Table(summary_data, colWidths=[2 * inch, 4.5 * inch])
+    summary_table.setStyle(
+        TableStyle(
+            [
+                ("BACKGROUND", (0, 0), (0, -1), colors.HexColor("#f0f0f5")),
+                ("FONTNAME", (0, 0), (0, -1), "Helvetica-Bold"),
+                ("FONTSIZE", (0, 0), (-1, -1), 9),
+                ("PADDING", (0, 0), (-1, -1), 6),
+                ("GRID", (0, 0), (-1, -1), 0.5, colors.HexColor("#cccccc")),
+                ("VALIGN", (0, 0), (-1, -1), "TOP"),
+            ]
+        )
+    )
+    elements.append(summary_table)
+    elements.append(Spacer(1, 16))
+
+    # Individual analysis sections
+    for i, row in enumerate(rows, 1):
+        _, analysis_type, model, response, timestamp = row
+        ts_str = timestamp.strftime("%Y-%m-%d %H:%M:%S") if hasattr(timestamp, "strftime") else str(timestamp)
+
+        elements.append(
+            Paragraph(f"Analysis {i}: {analysis_type} (via {model})", heading_style)
+        )
+        elements.append(
+            Paragraph(f"<i>Performed: {ts_str}</i>", body_style)
+        )
+
+        # Wrap long response text into paragraphs, escaping XML special chars
+        safe_response = (
+            response.replace("&", "&amp;")
+            .replace("<", "&lt;")
+            .replace(">", "&gt;")
+        )
+        # Split into manageable paragraphs to avoid overflow
+        for line in safe_response.split("\n"):
+            if line.strip():
+                elements.append(Paragraph(line, body_style))
+            else:
+                elements.append(Spacer(1, 4))
+
+        elements.append(Spacer(1, 10))
+
+    doc.build(elements)
+    buffer.seek(0)
+
+    safe_name = company_name.replace(" ", "_").lower()
+    filename = f"{safe_name}-analysis-{analysis_date}.pdf"
+    return StreamingResponse(
+        iter([buffer.getvalue()]),
+        media_type="application/pdf",
+        headers={"Content-Disposition": f'attachment; filename="{filename}"'},
+    )
+
+
 # ============== System Endpoints ==============
 
 
@@ -600,6 +817,7 @@ async def health_check():
 )
 async def analyze_company(
     company_name: str,
+    model: str | None = Query(default=None, description="LLM model to use (e.g. 'openai/gpt-4o'). Defaults to server config."),
     _: UserResponse = Depends(get_current_user),
 ):
     """Analyze a single company's patent portfolio.
@@ -609,14 +827,16 @@ async def analyze_company(
 
     Args:
         company_name: Name of the company to analyze (e.g., "nvidia", "intel")
+        model: Optional LLM model override
 
     Returns:
         Analysis results including patent count, AI insights, and success status
     """
+    _validate_model(model)
     if not _analyzer:
         raise HTTPException(status_code=503, detail="Analyzer not initialized")
 
-    result = _analyzer._analyze_company_safe(company_name)
+    result = _analyzer._analyze_company_safe(company_name, model=model)
     return _convert_result(result)
 
 
@@ -672,12 +892,14 @@ async def analyze_companies_batch(
     Returns:
         Batch results with individual company analyses and summary statistics
     """
+    _validate_model(request.model)
     if not _analyzer:
         raise HTTPException(status_code=503, detail="Analyzer not initialized")
 
     result = _analyzer.analyze_companies(
         companies=request.companies,
         max_workers=request.max_workers,
+        model=request.model,
     )
     return _convert_batch_result(result)
 
@@ -709,7 +931,7 @@ def _job_row_to_status(row: dict) -> JobStatus:
     )
 
 
-def _run_batch_job(job_id: str, companies: list[str], max_workers: int):
+def _run_batch_job(job_id: str, companies: list[str], max_workers: int, model: str | None = None):
     """Background task for batch analysis."""
     import json as _json
     global _analyzer
@@ -734,6 +956,7 @@ def _run_batch_job(job_id: str, companies: list[str], max_workers: int):
             companies=companies,
             max_workers=max_workers,
             progress_callback=progress_callback,
+            model=model,
         )
         batch_response = _convert_batch_result(result)
         db.update_job(
@@ -780,6 +1003,7 @@ async def analyze_companies_async(
     Returns:
         Job status with job_id for polling
     """
+    _validate_model(request.model)
     global _job_counter
 
     _job_counter += 1
@@ -789,7 +1013,7 @@ async def analyze_companies_async(
     job_row = db.create_job(job_id=job_id, total_companies=len(request.companies))
 
     background_tasks.add_task(
-        _run_batch_job, job_id, request.companies, request.max_workers
+        _run_batch_job, job_id, request.companies, request.max_workers, request.model
     )
 
     return _job_row_to_status(job_row)

SPARC/llm.py

@@ -40,12 +40,13 @@ class LLMAnalyzer:
         else:
             self.client = None
 
-    def analyze_patent_content(self, patent_content: str, company_name: str) -> str:
+    def analyze_patent_content(self, patent_content: str, company_name: str, model: str | None = None) -> str:
         """Analyze patent content to estimate company innovation and performance.
 
         Args:
           patent_content: Minimized patent text (abstract, claims, summary)
           company_name: Name of the company for context
+          model: Optional model override (e.g. "openai/gpt-4o"). Defaults to config.
 
         Returns:
           Analysis text describing innovation quality and potential impact
@@ -63,6 +64,8 @@ Patent Content:
 
 Provide a concise analysis (2-3 paragraphs) focusing on what this patent reveals about the company's technical direction and competitive advantage."""
 
+        effective_model = model or self.model
+
         if self.test_mode:
             logger.debug("TEST MODE - Prompt that would be sent to LLM:\n%s", prompt)
             return "[TEST MODE - No API call made]"
@@ -81,7 +84,7 @@ Provide a concise analysis (2-3 paragraphs) focusing on what this patent reveals
                     response=cached["response"],
                     company_name=company_name,
                     analysis_type="single_patent",
-                    model=self.model,
+                    model=effective_model,
                     metadata={
                         "patent_content_length": len(patent_content),
                         "cache_hit": True,
@@ -94,7 +97,7 @@ Provide a concise analysis (2-3 paragraphs) focusing on what this patent reveals
         # Call API if no cache hit and client is available
         if self.client:
             response = self.client.chat.completions.create(
-                model=self.model,
+                model=effective_model,
                 max_tokens=1024,
                 messages=[{"role": "user", "content": prompt}],
             )
@@ -106,7 +109,7 @@ Provide a concise analysis (2-3 paragraphs) focusing on what this patent reveals
                 response=response_text,
                 company_name=company_name,
                 analysis_type="single_patent",
-                model=self.model,
+                model=effective_model,
                 metadata={"patent_content_length": len(patent_content)},
                 token_usage={
                     "prompt_tokens": response.usage.prompt_tokens,
@@ -124,13 +127,13 @@ Provide a concise analysis (2-3 paragraphs) focusing on what this patent reveals
             response=placeholder,
             company_name=company_name,
             analysis_type="single_patent",
-            model=self.model,
+            model=effective_model,
             metadata={"patent_content_length": len(patent_content), "pending": True}
         )
         return placeholder
 
     def analyze_patent_portfolio(
-        self, patents_data: list[Dict[str, str]], company_name: str
+        self, patents_data: list[Dict[str, str]], company_name: str, model: str | None = None
     ) -> str:
         """Analyze multiple patents to estimate overall company performance.
 
@@ -165,13 +168,16 @@ Patent Portfolio:
 
 Provide a comprehensive analysis (4-5 paragraphs) with a final verdict on the company's innovation strength and performance outlook."""
 
+        effective_model = model or self.model
+
         if self.test_mode:
             logger.debug("TEST MODE - Portfolio prompt:\n%s", prompt)
             return "[TEST MODE]"
 
         metadata = {
             "patent_count": len(patents_data),
-            "patent_ids": [p['patent_id'] for p in patents_data]
+            "patent_ids": [p['patent_id'] for p in patents_data],
+            "model": effective_model,
         }
 
         # Check cache first
@@ -188,7 +194,7 @@ Provide a comprehensive analysis (4-5 paragraphs) with a final verdict on the co
                     response=cached["response"],
                     company_name=company_name,
                     analysis_type="portfolio",
-                    model=self.model,
+                    model=effective_model,
                     metadata={
                         **metadata,
                         "cache_hit": True,
@@ -202,7 +208,7 @@ Provide a comprehensive analysis (4-5 paragraphs) with a final verdict on the co
         if self.client:
             try:
                 response = self.client.chat.completions.create(
-                    model=self.model,
+                    model=effective_model,
                     max_tokens=2048,
                     messages=[{"role": "user", "content": prompt}],
                 )
@@ -215,7 +221,7 @@ Provide a comprehensive analysis (4-5 paragraphs) with a final verdict on the co
                     response=response_text,
                     company_name=company_name,
                     analysis_type="portfolio",
-                    model=self.model,
+                    model=effective_model,
                     metadata=metadata,
                     token_usage={
                         "prompt_tokens": response.usage.prompt_tokens,
@@ -235,7 +241,7 @@ Provide a comprehensive analysis (4-5 paragraphs) with a final verdict on the co
             response=placeholder,
             company_name=company_name,
             analysis_type="portfolio",
-            model=self.model,
+            model=effective_model,
             metadata={**metadata, "pending": True}
         )
         return placeholder

SPARC/types.py

@@ -24,6 +24,7 @@ class CompanyAnalysisResult:
     patent_count: int
     success: bool
     error: str | None = None
+    model: str | None = None
     timestamp: datetime = field(default_factory=datetime.now)
 
 

docker-compose.yml

@@ -18,6 +18,7 @@ services:
     restart: unless-stopped
 
   init-db:
+    image: gitea.leeworks.dev/0xwheatyz/sparc:latest
     build: .
     container_name: sparc-init-db
     command: python scripts/init_database.py
@@ -29,6 +30,7 @@ services:
     restart: "no"
 
   api:
+    image: gitea.leeworks.dev/0xwheatyz/sparc:latest
     build: .
     container_name: sparc-api
     command: uvicorn SPARC.api:app --host 0.0.0.0 --port 8000
@@ -40,7 +42,7 @@ services:
       JWT_SECRET: ${JWT_SECRET:-sparc-secret-key-change-in-production}
       CORS_ORIGINS: ${CORS_ORIGINS:-}
       APP_ENV: ${APP_ENV:-development}
-      ROOT_PATH: /api
+      ROOT_PATH: ""
     ports:
       - "8000:8000"
     depends_on:
@@ -49,7 +51,7 @@ services:
       init-db:
         condition: service_completed_successfully
     volumes:
-      - ./patents:/app/patents
+      - patent_data:/app/patents
     restart: unless-stopped
 
   # Optional: MinIO for S3-compatible local object storage
@@ -76,6 +78,7 @@ services:
       - s3
 
   dashboard:
+    image: gitea.leeworks.dev/0xwheatyz/sparc:frontend-latest
     build: ./frontend
     container_name: sparc-dashboard
     ports:
@@ -86,4 +89,5 @@ services:
 
 volumes:
   postgres_data:
+  patent_data:
   minio_data:

docs/DEPLOYMENT.md

@@ -276,7 +276,7 @@ The `docker-compose.yml` includes all services needed for production:
 |---------|-----------|------|-------------|
 | `postgres` | sparc-postgres | 5432 | PostgreSQL database |
 | `init-db` | sparc-init-db | - | One-time database initialization (seeds admin user) |
-| `api` | sparc-api | 8000 | FastAPI REST API with JWT auth |
+| `api` | sparc-api | 8000 | FastAPI REST API with JWT auth (patent PDFs stored in `patent_data` volume) |
 | `dashboard` | sparc-dashboard | 8080 | React TypeScript web UI |
 
 ### Common Docker Compose Commands
@@ -307,6 +307,81 @@ docker-compose restart api
 
 ---
 
+## Patent PDF Storage
+
+The SPARC API downloads patent PDFs during analysis and stores them at `/app/patents` inside the container. These files are used for subsequent single-patent analysis requests and as a local cache to avoid re-downloading. If this directory is not persisted, all downloaded PDFs are lost when the container is recreated.
+
+### Docker Compose (default)
+
+The default `docker-compose.yml` declares a named volume called `patent_data` that is mounted at `/app/patents`:
+
+```yaml
+# In the api service:
+volumes:
+  - patent_data:/app/patents
+
+# At the top-level volumes section:
+volumes:
+  patent_data:
+```
+
+This means PDFs survive `docker compose down` and `docker compose up` cycles. To remove patent data intentionally, run:
+
+```bash
+docker compose down -v   # WARNING: also removes postgres_data
+# or selectively:
+docker volume rm sparc_patent_data
+```
+
+If you prefer a bind mount (e.g., for easy host-side access during development), replace the volume with:
+
+```yaml
+volumes:
+  - ./patents:/app/patents
+```
+
+### Kubernetes
+
+For Kubernetes deployments, create a PersistentVolumeClaim and mount it into the API pod:
+
+```yaml
+apiVersion: v1
+kind: PersistentVolumeClaim
+metadata:
+  name: sparc-patent-data
+spec:
+  accessModes:
+    - ReadWriteOnce
+  resources:
+    requests:
+      storage: 5Gi
+---
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: sparc-api
+spec:
+  template:
+    spec:
+      containers:
+        - name: api
+          volumeMounts:
+            - name: patent-data
+              mountPath: /app/patents
+      volumes:
+        - name: patent-data
+          persistentVolumeClaim:
+            claimName: sparc-patent-data
+```
+
+Adjust the storage size based on expected patent volume. Each patent PDF is typically 1-5 MB.
+
+### S3 Object Storage (alternative)
+
+For production deployments that need shared or highly durable storage, set `STORAGE_BACKEND=s3` in your `.env` file. This stores patent PDFs in an S3-compatible bucket (AWS S3 or MinIO) instead of the local filesystem, eliminating the need for a persistent volume. See the S3/MinIO section in `.env.example` for configuration details.
+
+---
+
 ## Troubleshooting
 
 ### Database Connection Issues

frontend/nginx.conf.template

@@ -15,7 +15,7 @@ server {
 
     # Proxy API requests to backend
     location /api/ {
-        proxy_pass ${API_URL}/;
+        proxy_pass ${API_URL};
         proxy_http_version 1.1;
         proxy_set_header Upgrade $http_upgrade;
         proxy_set_header Connection 'upgrade';

frontend/package-lock.json

@@ -26,6 +26,7 @@
         "eslint-plugin-react-hooks": "^5.1.0",
         "eslint-plugin-react-refresh": "^0.4.7",
         "globals": "^15.8.0",
+        "openapi-typescript": "^7.0.0",
         "postcss": "^8.4.39",
         "tailwindcss": "^3.4.4",
         "typescript": "~5.5.3",
@@ -1025,6 +1026,82 @@
         "node": ">= 8"
       }
     },
+    "node_modules/@redocly/ajv": {
+      "version": "8.11.2",
+      "resolved": "https://registry.npmjs.org/@redocly/ajv/-/ajv-8.11.2.tgz",
+      "integrity": "sha512-io1JpnwtIcvojV7QKDUSIuMN/ikdOUd1ReEnUnMKGfDVridQZ31J0MmIuqwuRjWDZfmvr+Q0MqCcfHM2gTivOg==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "fast-deep-equal": "^3.1.1",
+        "json-schema-traverse": "^1.0.0",
+        "require-from-string": "^2.0.2",
+        "uri-js-replace": "^1.0.1"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/epoberezkin"
+      }
+    },
+    "node_modules/@redocly/ajv/node_modules/json-schema-traverse": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz",
+      "integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug==",
+      "dev": true,
+      "license": "MIT"
+    },
+    "node_modules/@redocly/config": {
+      "version": "0.22.0",
+      "resolved": "https://registry.npmjs.org/@redocly/config/-/config-0.22.0.tgz",
+      "integrity": "sha512-gAy93Ddo01Z3bHuVdPWfCwzgfaYgMdaZPcfL7JZ7hWJoK9V0lXDbigTWkhiPFAaLWzbOJ+kbUQG1+XwIm0KRGQ==",
+      "dev": true,
+      "license": "MIT"
+    },
+    "node_modules/@redocly/openapi-core": {
+      "version": "1.34.11",
+      "resolved": "https://registry.npmjs.org/@redocly/openapi-core/-/openapi-core-1.34.11.tgz",
+      "integrity": "sha512-V09ayfnb5GyysmvARbt+voFZAjGcf7hSYxOYxSkCc4fbH/DTfq5YWoec8cflvmHHqyIFbqvmGKmYFzqhr9zxDg==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@redocly/ajv": "8.11.2",
+        "@redocly/config": "0.22.0",
+        "colorette": "1.4.0",
+        "https-proxy-agent": "7.0.6",
+        "js-levenshtein": "1.1.6",
+        "js-yaml": "4.1.1",
+        "minimatch": "5.1.9",
+        "pluralize": "8.0.0",
+        "yaml-ast-parser": "0.0.43"
+      },
+      "engines": {
+        "node": ">=18.17.0",
+        "npm": ">=9.5.0"
+      }
+    },
+    "node_modules/@redocly/openapi-core/node_modules/brace-expansion": {
+      "version": "2.0.3",
+      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.3.tgz",
+      "integrity": "sha512-MCV/fYJEbqx68aE58kv2cA/kiky1G8vux3OR6/jbS+jIMe/6fJWa0DTzJU7dqijOWYwHi1t29FlfYI9uytqlpA==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "balanced-match": "^1.0.0"
+      }
+    },
+    "node_modules/@redocly/openapi-core/node_modules/minimatch": {
+      "version": "5.1.9",
+      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-5.1.9.tgz",
+      "integrity": "sha512-7o1wEA2RyMP7Iu7GNba9vc0RWWGACJOCZBJX2GJWip0ikV+wcOsgVuY9uE8CPiyQhkGFSlhuSkZPavN7u1c2Fw==",
+      "dev": true,
+      "license": "ISC",
+      "dependencies": {
+        "brace-expansion": "^2.0.1"
+      },
+      "engines": {
+        "node": ">=10"
+      }
+    },
     "node_modules/@remix-run/router": {
       "version": "1.23.2",
       "resolved": "https://registry.npmjs.org/@remix-run/router/-/router-1.23.2.tgz",
@@ -1906,6 +1983,16 @@
         "acorn": "^6.0.0 || ^7.0.0 || ^8.0.0"
       }
     },
+    "node_modules/agent-base": {
+      "version": "7.1.4",
+      "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-7.1.4.tgz",
+      "integrity": "sha512-MnA+YT8fwfJPgBx3m60MNqakm30XOkyIoH1y6huTQvC0PwZG7ki8NacLBcrPbNoo8vEZy7Jpuk7+jMO+CUovTQ==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">= 14"
+      }
+    },
     "node_modules/ajv": {
       "version": "6.14.0",
       "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.14.0.tgz",
@@ -1923,6 +2010,16 @@
         "url": "https://github.com/sponsors/epoberezkin"
       }
     },
+    "node_modules/ansi-colors": {
+      "version": "4.1.3",
+      "resolved": "https://registry.npmjs.org/ansi-colors/-/ansi-colors-4.1.3.tgz",
+      "integrity": "sha512-/6w/C21Pm1A7aZitlI5Ni/2J6FFQN8i1Cvz3kHABAAbw93v/NlvKdVOqz7CCWz/3iv/JplRSEEZ83XION15ovw==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=6"
+      }
+    },
     "node_modules/ansi-styles": {
       "version": "4.3.0",
       "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
@@ -2190,6 +2287,13 @@
         "url": "https://github.com/chalk/chalk?sponsor=1"
       }
     },
+    "node_modules/change-case": {
+      "version": "5.4.4",
+      "resolved": "https://registry.npmjs.org/change-case/-/change-case-5.4.4.tgz",
+      "integrity": "sha512-HRQyTk2/YPEkt9TnUPbOpr64Uw3KOicFWPVBb+xiHvd6eBx/qPr9xqfBFDT8P2vWsvvz4jbEkfDe71W3VyNu2w==",
+      "dev": true,
+      "license": "MIT"
+    },
     "node_modules/chokidar": {
       "version": "3.6.0",
       "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.6.0.tgz",
@@ -2257,6 +2361,13 @@
       "dev": true,
       "license": "MIT"
     },
+    "node_modules/colorette": {
+      "version": "1.4.0",
+      "resolved": "https://registry.npmjs.org/colorette/-/colorette-1.4.0.tgz",
+      "integrity": "sha512-Y2oEozpomLn7Q3HFP7dpww7AtMJplbM9lGZP6RDfHqmbeRjiwRg4n6VM6j4KLmRke85uWEI7JqF17f3pqdRA0g==",
+      "dev": true,
+      "license": "MIT"
+    },
     "node_modules/combined-stream": {
       "version": "1.0.8",
       "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
@@ -3165,6 +3276,20 @@
         "node": ">= 0.4"
       }
     },
+    "node_modules/https-proxy-agent": {
+      "version": "7.0.6",
+      "resolved": "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-7.0.6.tgz",
+      "integrity": "sha512-vK9P5/iUfdl95AI+JVyUuIcVtd4ofvtrOr3HNtM2yxC9bnMbEdp3x01OhQNnjb8IJYi38VlTE3mBXwcfvywuSw==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "agent-base": "^7.1.2",
+        "debug": "4"
+      },
+      "engines": {
+        "node": ">= 14"
+      }
+    },
     "node_modules/ignore": {
       "version": "5.3.2",
       "resolved": "https://registry.npmjs.org/ignore/-/ignore-5.3.2.tgz",
@@ -3202,6 +3327,19 @@
         "node": ">=0.8.19"
       }
     },
+    "node_modules/index-to-position": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/index-to-position/-/index-to-position-1.2.0.tgz",
+      "integrity": "sha512-Yg7+ztRkqslMAS2iFaU+Oa4KTSidr63OsFGlOrJoW981kIYO3CGCS3wA95P1mUi/IVSJkn0D479KTJpVpvFNuw==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=18"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
     "node_modules/internmap": {
       "version": "2.0.3",
       "resolved": "https://registry.npmjs.org/internmap/-/internmap-2.0.3.tgz",
@@ -3290,6 +3428,16 @@
         "jiti": "bin/jiti.js"
       }
     },
+    "node_modules/js-levenshtein": {
+      "version": "1.1.6",
+      "resolved": "https://registry.npmjs.org/js-levenshtein/-/js-levenshtein-1.1.6.tgz",
+      "integrity": "sha512-X2BB11YZtrRqY4EnQcLX5Rh373zbK4alC1FW7D7MBhL2gtcC17cTnr6DmfHZeS0s2rTHjUTMMHfG7gO8SSdw+g==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
     "node_modules/js-tokens": {
       "version": "4.0.0",
       "resolved": "https://registry.npmjs.org/js-tokens/-/js-tokens-4.0.0.tgz",
@@ -3608,6 +3756,40 @@
         "node": ">= 6"
       }
     },
+    "node_modules/openapi-typescript": {
+      "version": "7.13.0",
+      "resolved": "https://registry.npmjs.org/openapi-typescript/-/openapi-typescript-7.13.0.tgz",
+      "integrity": "sha512-EFP392gcqXS7ntPvbhBzbF8TyBA+baIYEm791Hy5YkjDYKTnk/Tn5OQeKm5BIZvJihpp8Zzr4hzx0Irde1LNGQ==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@redocly/openapi-core": "^1.34.6",
+        "ansi-colors": "^4.1.3",
+        "change-case": "^5.4.4",
+        "parse-json": "^8.3.0",
+        "supports-color": "^10.2.2",
+        "yargs-parser": "^21.1.1"
+      },
+      "bin": {
+        "openapi-typescript": "bin/cli.js"
+      },
+      "peerDependencies": {
+        "typescript": "^5.x"
+      }
+    },
+    "node_modules/openapi-typescript/node_modules/supports-color": {
+      "version": "10.2.2",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-10.2.2.tgz",
+      "integrity": "sha512-SS+jx45GF1QjgEXQx4NJZV9ImqmO2NPz5FNsIHrsDjh2YsHnawpan7SNQ1o8NuhrbHZy9AZhIoCUiCeaW/C80g==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=18"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/supports-color?sponsor=1"
+      }
+    },
     "node_modules/optionator": {
       "version": "0.9.4",
       "resolved": "https://registry.npmjs.org/optionator/-/optionator-0.9.4.tgz",
@@ -3671,6 +3853,24 @@
         "node": ">=6"
       }
     },
+    "node_modules/parse-json": {
+      "version": "8.3.0",
+      "resolved": "https://registry.npmjs.org/parse-json/-/parse-json-8.3.0.tgz",
+      "integrity": "sha512-ybiGyvspI+fAoRQbIPRddCcSTV9/LsJbf0e/S85VLowVGzRmokfneg2kwVW/KU5rOXrPSbF1qAKPMgNTqqROQQ==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/code-frame": "^7.26.2",
+        "index-to-position": "^1.1.0",
+        "type-fest": "^4.39.1"
+      },
+      "engines": {
+        "node": ">=18"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
     "node_modules/path-exists": {
       "version": "4.0.0",
       "resolved": "https://registry.npmjs.org/path-exists/-/path-exists-4.0.0.tgz",
@@ -3738,6 +3938,16 @@
         "node": ">= 6"
       }
     },
+    "node_modules/pluralize": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/pluralize/-/pluralize-8.0.0.tgz",
+      "integrity": "sha512-Nc3IT5yHzflTfbjgqWcCPpo7DaKy4FnpB0l/zCAW0Tc7jxAiuqSxHasntB3D7887LSrA93kDJ9IXovxJYxyLCA==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=4"
+      }
+    },
     "node_modules/postcss": {
       "version": "8.5.8",
       "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.8.tgz",
@@ -4124,6 +4334,16 @@
         "decimal.js-light": "^2.4.1"
       }
     },
+    "node_modules/require-from-string": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/require-from-string/-/require-from-string-2.0.2.tgz",
+      "integrity": "sha512-Xf0nWe6RseziFMu+Ap9biiUbmplq6S9/p+7w7YXP/JBHhrUDDUhwa+vANyubuqfZWTveU//DYVGsDG7RKL/vEw==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
     "node_modules/resolve": {
       "version": "1.22.11",
       "resolved": "https://registry.npmjs.org/resolve/-/resolve-1.22.11.tgz",
@@ -4510,6 +4730,19 @@
         "node": ">= 0.8.0"
       }
     },
+    "node_modules/type-fest": {
+      "version": "4.41.0",
+      "resolved": "https://registry.npmjs.org/type-fest/-/type-fest-4.41.0.tgz",
+      "integrity": "sha512-TeTSQ6H5YHvpqVwBRcnLDCBnDOHWYu7IvGbHT6N8AOymcr9PJGjc1GTtiWZTYg0NCgYwvnYWEkVChQAr9bjfwA==",
+      "dev": true,
+      "license": "(MIT OR CC0-1.0)",
+      "engines": {
+        "node": ">=16"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
     "node_modules/typescript": {
       "version": "5.5.4",
       "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.5.4.tgz",
@@ -4589,6 +4822,13 @@
         "punycode": "^2.1.0"
       }
     },
+    "node_modules/uri-js-replace": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/uri-js-replace/-/uri-js-replace-1.0.1.tgz",
+      "integrity": "sha512-W+C9NWNLFOoBI2QWDp4UT9pv65r2w5Cx+3sTYFvtMdDBxkKt1syCqsUdSFAChbEe1uK5TfS04wt/nGwmaeIQ0g==",
+      "dev": true,
+      "license": "MIT"
+    },
     "node_modules/util-deprecate": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
@@ -4711,6 +4951,23 @@
       "dev": true,
       "license": "ISC"
     },
+    "node_modules/yaml-ast-parser": {
+      "version": "0.0.43",
+      "resolved": "https://registry.npmjs.org/yaml-ast-parser/-/yaml-ast-parser-0.0.43.tgz",
+      "integrity": "sha512-2PTINUwsRqSd+s8XxKaJWQlUuEMHJQyEuh2edBbW8KNJz0SJPwUSD2zRWqezFEdN7IzAgeuYHFUCF7o8zRdZ0A==",
+      "dev": true,
+      "license": "Apache-2.0"
+    },
+    "node_modules/yargs-parser": {
+      "version": "21.1.1",
+      "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz",
+      "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==",
+      "dev": true,
+      "license": "ISC",
+      "engines": {
+        "node": ">=12"
+      }
+    },
     "node_modules/yocto-queue": {
       "version": "0.1.0",
       "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",

frontend/src/api/client.ts

@@ -89,29 +89,53 @@ export const authApi = {
   },
 };
 
+// Model types
+export interface ModelInfo {
+  id: string;
+  name: string;
+  provider: string;
+}
+
+export interface ModelsResponse {
+  models: ModelInfo[];
+  default: string;
+}
+
 // Analysis API
 export const analysisApi = {
-  analyzeCompany: async (companyName: string): Promise<CompanyAnalysis> => {
-    const response = await api.get<CompanyAnalysis>(`/analyze/${encodeURIComponent(companyName)}`);
+  analyzeCompany: async (companyName: string, model?: string): Promise<CompanyAnalysis> => {
+    const params = new URLSearchParams();
+    if (model) params.append('model', model);
+    const qs = params.toString();
+    const response = await api.get<CompanyAnalysis>(
+      `/analyze/${encodeURIComponent(companyName)}${qs ? `?${qs}` : ''}`
+    );
     return response.data;
   },
 
-  analyzeBatch: async (companies: string[], maxWorkers = 3): Promise<BatchAnalysisResult> => {
+  analyzeBatch: async (companies: string[], maxWorkers = 3, model?: string): Promise<BatchAnalysisResult> => {
     const response = await api.post<BatchAnalysisResult>('/analyze/batch', {
       companies,
       max_workers: maxWorkers,
+      ...(model ? { model } : {}),
     });
     return response.data;
   },
 
-  analyzeBatchAsync: async (companies: string[], maxWorkers = 3): Promise<JobStatus> => {
+  analyzeBatchAsync: async (companies: string[], maxWorkers = 3, model?: string): Promise<JobStatus> => {
     const response = await api.post<JobStatus>('/analyze/batch/async', {
       companies,
       max_workers: maxWorkers,
+      ...(model ? { model } : {}),
     });
     return response.data;
   },
 
+  listModels: async (): Promise<ModelsResponse> => {
+    const response = await api.get<ModelsResponse>('/models');
+    return response.data;
+  },
+
   getJobStatus: async (jobId: string): Promise<JobStatus> => {
     const response = await api.get<JobStatus>(`/jobs/${jobId}`);
     return response.data;
@@ -141,6 +165,21 @@ export const exportApi = {
     link.remove();
     window.URL.revokeObjectURL(url);
   },
+  exportPdf: async (companyName: string): Promise<void> => {
+    const response = await api.get(`/export/${encodeURIComponent(companyName)}/pdf`, {
+      responseType: 'blob',
+    });
+    const safeName = companyName.toLowerCase().replace(/\s+/g, '_');
+    const date = new Date().toISOString().split('T')[0];
+    const url = window.URL.createObjectURL(new Blob([response.data], { type: 'application/pdf' }));
+    const link = document.createElement('a');
+    link.href = url;
+    link.setAttribute('download', `${safeName}-analysis-${date}.pdf`);
+    document.body.appendChild(link);
+    link.click();
+    link.remove();
+    window.URL.revokeObjectURL(url);
+  },
 };
 
 // Analytics API

frontend/src/api/schema.d.ts

@@ -0,0 +1,975 @@
+/**
+ * This file was auto-generated by openapi-typescript.
+ * Do not make direct changes to the file.
+ */
+
+export interface paths {
+    "/auth/register": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        get?: never;
+        put?: never;
+        /**
+         * Register
+         * @description Register a new user.
+         *
+         *     The first registered user automatically becomes an admin.
+         */
+        post: operations["register_auth_register_post"];
+        delete?: never;
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+    "/auth/login": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        get?: never;
+        put?: never;
+        /**
+         * Login
+         * @description Authenticate user and return JWT tokens.
+         */
+        post: operations["login_auth_login_post"];
+        delete?: never;
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+    "/auth/refresh": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        get?: never;
+        put?: never;
+        /**
+         * Refresh Token
+         * @description Refresh access token using refresh token.
+         */
+        post: operations["refresh_token_auth_refresh_post"];
+        delete?: never;
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+    "/auth/me": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        /**
+         * Get Me
+         * @description Get current authenticated user.
+         */
+        get: operations["get_me_auth_me_get"];
+        put?: never;
+        post?: never;
+        delete?: never;
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+    "/admin/users": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        /**
+         * List Users
+         * @description List all users (admin only).
+         */
+        get: operations["list_users_admin_users_get"];
+        put?: never;
+        post?: never;
+        delete?: never;
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+    "/admin/users/{user_id}/role": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        get?: never;
+        put?: never;
+        post?: never;
+        delete?: never;
+        options?: never;
+        head?: never;
+        /**
+         * Update User Role
+         * @description Update a user's role (admin only).
+         */
+        patch: operations["update_user_role_admin_users__user_id__role_patch"];
+        trace?: never;
+    };
+    "/admin/users/{user_id}": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        get?: never;
+        put?: never;
+        post?: never;
+        /**
+         * Delete User
+         * @description Delete a user (admin only).
+         */
+        delete: operations["delete_user_admin_users__user_id__delete"];
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+    "/analytics": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        /**
+         * Get Analytics
+         * @description Get analytics data (authenticated users only).
+         */
+        get: operations["get_analytics_analytics_get"];
+        put?: never;
+        post?: never;
+        delete?: never;
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+    "/health": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        /**
+         * Health Check
+         * @description Check API health status.
+         */
+        get: operations["health_check_health_get"];
+        put?: never;
+        post?: never;
+        delete?: never;
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+    "/analyze/{company_name}": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        /**
+         * Analyze Company
+         * @description Analyze a single company's patent portfolio.
+         *
+         *     This endpoint retrieves recent patents for the specified company,
+         *     parses them, and uses AI to generate a comprehensive analysis.
+         *
+         *     Args:
+         *         company_name: Name of the company to analyze (e.g., "nvidia", "intel")
+         *
+         *     Returns:
+         *         Analysis results including patent count, AI insights, and success status
+         */
+        get: operations["analyze_company_analyze__company_name__get"];
+        put?: never;
+        post?: never;
+        delete?: never;
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+    "/analyze/batch": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        get?: never;
+        put?: never;
+        /**
+         * Analyze Companies Batch
+         * @description Analyze multiple companies' patent portfolios.
+         *
+         *     Processes companies concurrently for improved performance.
+         *     Limited to 20 companies per request.
+         *
+         *     Args:
+         *         request: List of company names and optional worker count
+         *
+         *     Returns:
+         *         Batch results with individual company analyses and summary statistics
+         */
+        post: operations["analyze_companies_batch_analyze_batch_post"];
+        delete?: never;
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+    "/analyze/batch/async": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        get?: never;
+        put?: never;
+        /**
+         * Analyze Companies Async
+         * @description Start an asynchronous batch analysis job.
+         *
+         *     Returns immediately with a job ID that can be used to poll for status.
+         *     Useful for large batch analyses that may take a long time.
+         *
+         *     Args:
+         *         request: List of company names and optional worker count
+         *
+         *     Returns:
+         *         Job status with job_id for polling
+         */
+        post: operations["analyze_companies_async_analyze_batch_async_post"];
+        delete?: never;
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+    "/jobs/{job_id}": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        /**
+         * Get Job Status
+         * @description Get the status of a background analysis job.
+         *
+         *     Args:
+         *         job_id: The job ID returned from the async batch endpoint
+         *
+         *     Returns:
+         *         Current job status including progress and results when complete
+         */
+        get: operations["get_job_status_jobs__job_id__get"];
+        put?: never;
+        post?: never;
+        delete?: never;
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+    "/jobs": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        /**
+         * List Jobs
+         * @description List all analysis jobs.
+         *
+         *     Args:
+         *         status: Optional filter by job status
+         *         limit: Maximum number of jobs to return (default 10, max 100)
+         *
+         *     Returns:
+         *         List of job statuses
+         */
+        get: operations["list_jobs_jobs_get"];
+        put?: never;
+        post?: never;
+        delete?: never;
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
+}
+export type webhooks = Record<string, never>;
+export interface components {
+    schemas: {
+        /**
+         * AnalyticsResponse
+         * @description Analytics response model.
+         */
+        AnalyticsResponse: {
+            /** Total Messages */
+            total_messages: number;
+            /** By Company */
+            by_company: {
+                [key: string]: unknown;
+            }[];
+            /** By Type */
+            by_type: {
+                [key: string]: unknown;
+            }[];
+            /** Period Days */
+            period_days: number;
+        };
+        /**
+         * BatchAnalysisRequest
+         * @description Request model for batch company analysis.
+         */
+        BatchAnalysisRequest: {
+            /**
+             * Companies
+             * @description List of company names to analyze
+             */
+            companies: string[];
+            /**
+             * Max Workers
+             * @description Max concurrent analyses
+             * @default 3
+             */
+            max_workers: number;
+        };
+        /**
+         * BatchAnalysisResponse
+         * @description Response model for batch company analysis.
+         */
+        BatchAnalysisResponse: {
+            /** Results */
+            results: components["schemas"]["CompanyAnalysisResponse"][];
+            /** Total Companies */
+            total_companies: number;
+            /** Successful */
+            successful: number;
+            /** Failed */
+            failed: number;
+            /**
+             * Timestamp
+             * Format: date-time
+             */
+            timestamp: string;
+        };
+        /**
+         * CompanyAnalysisResponse
+         * @description Response model for single company analysis.
+         */
+        CompanyAnalysisResponse: {
+            /** Company Name */
+            company_name: string;
+            /** Analysis */
+            analysis: string;
+            /** Patent Count */
+            patent_count: number;
+            /** Success */
+            success: boolean;
+            /** Error */
+            error?: string | null;
+            /**
+             * Timestamp
+             * Format: date-time
+             */
+            timestamp: string;
+        };
+        /** HTTPValidationError */
+        HTTPValidationError: {
+            /** Detail */
+            detail?: components["schemas"]["ValidationError"][];
+        };
+        /**
+         * HealthResponse
+         * @description Health check response.
+         */
+        HealthResponse: {
+            /** Status */
+            status: string;
+            /** Version */
+            version: string;
+            /**
+             * Timestamp
+             * Format: date-time
+             */
+            timestamp: string;
+        };
+        /**
+         * JobStatus
+         * @description Status of a background analysis job.
+         */
+        JobStatus: {
+            /** Job Id */
+            job_id: string;
+            /** Status */
+            status: string;
+            /** Progress */
+            progress: number;
+            /** Total Companies */
+            total_companies: number;
+            /** Completed Companies */
+            completed_companies: number;
+            result?: components["schemas"]["BatchAnalysisResponse"] | null;
+            /** Error */
+            error?: string | null;
+        };
+        /**
+         * LoginRequest
+         * @description User login request.
+         */
+        LoginRequest: {
+            /**
+             * Email
+             * Format: email
+             */
+            email: string;
+            /** Password */
+            password: string;
+        };
+        /**
+         * RefreshRequest
+         * @description Token refresh request.
+         */
+        RefreshRequest: {
+            /** Refresh Token */
+            refresh_token: string;
+        };
+        /**
+         * RegisterRequest
+         * @description User registration request.
+         */
+        RegisterRequest: {
+            /**
+             * Email
+             * Format: email
+             */
+            email: string;
+            /**
+             * Password
+             * @description Password (min 8 characters)
+             */
+            password: string;
+        };
+        /**
+         * TokenResponse
+         * @description Token response model.
+         */
+        TokenResponse: {
+            /** Access Token */
+            access_token: string;
+            /** Refresh Token */
+            refresh_token: string;
+            /**
+             * Token Type
+             * @default bearer
+             */
+            token_type: string;
+        };
+        /**
+         * UpdateRoleRequest
+         * @description Update user role request.
+         */
+        UpdateRoleRequest: {
+            /** Role */
+            role: string;
+        };
+        /**
+         * UserResponse
+         * @description User response model.
+         */
+        UserResponse: {
+            /** Id */
+            id: number;
+            /** Email */
+            email: string;
+            /** Role */
+            role: string;
+            /**
+             * Created At
+             * Format: date-time
+             */
+            created_at: string;
+        };
+        /** ValidationError */
+        ValidationError: {
+            /** Location */
+            loc: (string | number)[];
+            /** Message */
+            msg: string;
+            /** Error Type */
+            type: string;
+            /** Input */
+            input?: unknown;
+            /** Context */
+            ctx?: Record<string, never>;
+        };
+    };
+    responses: never;
+    parameters: never;
+    requestBodies: never;
+    headers: never;
+    pathItems: never;
+}
+export type $defs = Record<string, never>;
+export interface operations {
+    register_auth_register_post: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody: {
+            content: {
+                "application/json": components["schemas"]["RegisterRequest"];
+            };
+        };
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["UserResponse"];
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
+    login_auth_login_post: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody: {
+            content: {
+                "application/json": components["schemas"]["LoginRequest"];
+            };
+        };
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["TokenResponse"];
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
+    refresh_token_auth_refresh_post: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody: {
+            content: {
+                "application/json": components["schemas"]["RefreshRequest"];
+            };
+        };
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["TokenResponse"];
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
+    get_me_auth_me_get: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["UserResponse"];
+                };
+            };
+        };
+    };
+    list_users_admin_users_get: {
+        parameters: {
+            query?: {
+                limit?: number;
+                offset?: number;
+            };
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["UserResponse"][];
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
+    update_user_role_admin_users__user_id__role_patch: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path: {
+                user_id: number;
+            };
+            cookie?: never;
+        };
+        requestBody: {
+            content: {
+                "application/json": components["schemas"]["UpdateRoleRequest"];
+            };
+        };
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["UserResponse"];
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
+    delete_user_admin_users__user_id__delete: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path: {
+                user_id: number;
+            };
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": unknown;
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
+    get_analytics_analytics_get: {
+        parameters: {
+            query?: {
+                days?: number;
+            };
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["AnalyticsResponse"];
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
+    health_check_health_get: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HealthResponse"];
+                };
+            };
+        };
+    };
+    analyze_company_analyze__company_name__get: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path: {
+                company_name: string;
+            };
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["CompanyAnalysisResponse"];
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
+    analyze_companies_batch_analyze_batch_post: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody: {
+            content: {
+                "application/json": components["schemas"]["BatchAnalysisRequest"];
+            };
+        };
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["BatchAnalysisResponse"];
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
+    analyze_companies_async_analyze_batch_async_post: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody: {
+            content: {
+                "application/json": components["schemas"]["BatchAnalysisRequest"];
+            };
+        };
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["JobStatus"];
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
+    get_job_status_jobs__job_id__get: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path: {
+                job_id: string;
+            };
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["JobStatus"];
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
+    list_jobs_jobs_get: {
+        parameters: {
+            query?: {
+                /** @description Filter by status: pending, running, completed, failed */
+                status?: string | null;
+                limit?: number;
+            };
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["JobStatus"][];
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
+}

frontend/src/context/useChartTheme.ts

@@ -0,0 +1,41 @@
+import { useTheme } from './ThemeContext';
+
+/**
+ * Returns theme-aware color values for recharts components.
+ *
+ * Recharts accepts only raw color strings (not CSS variables),
+ * so this hook bridges the Tailwind/CSS-variable theme system
+ * to the imperative recharts API.
+ */
+export function useChartTheme() {
+  const { theme } = useTheme();
+  const isDark = theme === 'dark';
+
+  return {
+    /** Axis tick and grid line stroke color */
+    axisStroke: isDark ? '#94a3b8' : '#64748b',
+    /** Tooltip container background */
+    tooltipBg: isDark ? '#1e293b' : '#ffffff',
+    /** Tooltip container border */
+    tooltipBorder: isDark
+      ? '1px solid rgba(99, 102, 241, 0.3)'
+      : '1px solid rgba(99, 102, 241, 0.2)',
+    /** Tooltip label text color */
+    tooltipLabelColor: isDark ? '#f8fafc' : '#0f172a',
+    /** Tooltip item text color */
+    tooltipItemColor: isDark ? '#e2e8f0' : '#334155',
+    /** Convenience: full contentStyle object for recharts Tooltip */
+    tooltipContentStyle: {
+      backgroundColor: isDark ? '#1e293b' : '#ffffff',
+      border: isDark
+        ? '1px solid rgba(99, 102, 241, 0.3)'
+        : '1px solid rgba(99, 102, 241, 0.2)',
+      borderRadius: '8px',
+      color: isDark ? '#f8fafc' : '#0f172a',
+    },
+    /** Convenience: labelStyle for recharts Tooltip */
+    tooltipLabelStyle: {
+      color: isDark ? '#f8fafc' : '#0f172a',
+    },
+  };
+}

frontend/src/pages/Analysis.tsx

@@ -1,15 +1,21 @@
 import { useState } from 'react';
-import { useMutation } from '@tanstack/react-query';
+import { useMutation, useQuery } from '@tanstack/react-query';
 import { analysisApi, exportApi } from '../api/client';
-import { Search, CheckCircle, AlertCircle, Clock, FileText, Download } from 'lucide-react';
+import { Search, CheckCircle, AlertCircle, Clock, FileText, Download, ChevronDown } from 'lucide-react';
 import type { CompanyAnalysis } from '../types';
 
 export function Analysis() {
   const [companyName, setCompanyName] = useState('');
+  const [selectedModel, setSelectedModel] = useState('');
   const [result, setResult] = useState<CompanyAnalysis | null>(null);
 
+  const modelsQuery = useQuery({
+    queryKey: ['models'],
+    queryFn: () => analysisApi.listModels(),
+  });
+
   const mutation = useMutation({
-    mutationFn: (name: string) => analysisApi.analyzeCompany(name),
+    mutationFn: (name: string) => analysisApi.analyzeCompany(name, selectedModel || undefined),
     onSuccess: (data) => setResult(data),
   });
 
@@ -33,7 +39,8 @@ export function Analysis() {
       </div>
 
       {/* Search Form */}
-      <form onSubmit={handleSubmit} className="flex gap-4">
+      <form onSubmit={handleSubmit} className="space-y-4">
+        <div className="flex gap-4">
           <div className="flex-1 relative">
             <Search className="absolute left-4 top-1/2 -translate-y-1/2 text-text-secondary" size={18} />
             <input
@@ -58,6 +65,31 @@ export function Analysis() {
               </>
             )}
           </button>
+        </div>
+
+        {/* Model Selector */}
+        <div className="flex items-center gap-3">
+          <label className="text-sm font-medium text-text-secondary whitespace-nowrap">
+            LLM Model
+          </label>
+          <div className="relative flex-1 max-w-xs">
+            <select
+              value={selectedModel}
+              onChange={(e) => setSelectedModel(e.target.value)}
+              className="w-full appearance-none bg-bg-card/80 border border-primary/30 rounded-lg pl-3 pr-8 py-2 text-sm text-text-primary focus:outline-none focus:border-primary focus:ring-2 focus:ring-primary/20 transition-all cursor-pointer"
+            >
+              <option value="">
+                {modelsQuery.data ? `Default (${modelsQuery.data.default})` : 'Default'}
+              </option>
+              {modelsQuery.data?.models.map((m) => (
+                <option key={m.id} value={m.id}>
+                  {m.name} ({m.provider})
+                </option>
+              ))}
+            </select>
+            <ChevronDown className="absolute right-2 top-1/2 -translate-y-1/2 text-text-secondary pointer-events-none" size={16} />
+          </div>
+        </div>
       </form>
 
       {/* Error */}
@@ -110,6 +142,7 @@ export function Analysis() {
                 <h3 className="text-lg font-semibold text-text-primary">
                   AI Analysis Results
                 </h3>
+                <div className="flex items-center gap-2">
                   <button
                     onClick={() => exportApi.exportCsv(result.company_name)}
                     className="flex items-center gap-2 text-sm bg-primary/20 hover:bg-primary/30 text-primary font-medium px-3 py-1.5 rounded-lg transition-colors"
@@ -117,6 +150,14 @@ export function Analysis() {
                     <Download size={14} />
                     Export CSV
                   </button>
+                  <button
+                    onClick={() => exportApi.exportPdf(result.company_name)}
+                    className="flex items-center gap-2 text-sm bg-primary/20 hover:bg-primary/30 text-primary font-medium px-3 py-1.5 rounded-lg transition-colors"
+                  >
+                    <FileText size={14} />
+                    Export PDF
+                  </button>
+                </div>
               </div>
               <div className="prose prose-invert max-w-none">
                 <div className="text-text-primary whitespace-pre-wrap leading-relaxed">

frontend/src/pages/Analytics.tsx

@@ -3,11 +3,13 @@ import { useQuery } from '@tanstack/react-query';
 import { analyticsApi } from '../api/client';
 import { AlertCircle, Database } from 'lucide-react';
 import { PieChart, Pie, Cell, BarChart, Bar, LineChart, Line, XAxis, YAxis, Tooltip, ResponsiveContainer, Legend } from 'recharts';
+import { useChartTheme } from '../context/useChartTheme';
 
 const COLORS = ['#6366f1', '#0ea5e9', '#10b981', '#f59e0b', '#ef4444', '#8b5cf6', '#ec4899', '#14b8a6'];
 
 export function AnalyticsPage() {
   const [days, setDays] = useState(30);
+  const chartTheme = useChartTheme();
 
   const { data, isLoading, isError, refetch } = useQuery({
     queryKey: ['analytics', days],
@@ -160,11 +162,7 @@ export function AnalyticsPage() {
                   ))}
                 </Pie>
                 <Tooltip
-                  contentStyle={{
-                    backgroundColor: '#1e293b',
-                    border: '1px solid rgba(99, 102, 241, 0.3)',
-                    borderRadius: '8px',
-                  }}
+                  contentStyle={chartTheme.tooltipContentStyle}
                 />
                 <Legend />
               </PieChart>
@@ -178,15 +176,11 @@ export function AnalyticsPage() {
             <h3 className="text-lg font-semibold text-text-primary mb-4">Analysis Types</h3>
             <ResponsiveContainer width="100%" height={300}>
               <BarChart data={typeData}>
-                <XAxis dataKey="name" stroke="#94a3b8" fontSize={12} />
-                <YAxis stroke="#94a3b8" fontSize={12} />
+                <XAxis dataKey="name" stroke={chartTheme.axisStroke} fontSize={12} />
+                <YAxis stroke={chartTheme.axisStroke} fontSize={12} />
                 <Tooltip
-                  contentStyle={{
-                    backgroundColor: '#1e293b',
-                    border: '1px solid rgba(99, 102, 241, 0.3)',
-                    borderRadius: '8px',
-                  }}
-                  labelStyle={{ color: '#f8fafc' }}
+                  contentStyle={chartTheme.tooltipContentStyle}
+                  labelStyle={chartTheme.tooltipLabelStyle}
                 />
                 <Bar dataKey="count" fill="#6366f1" radius={[4, 4, 0, 0]} />
               </BarChart>
@@ -222,15 +216,11 @@ export function AnalyticsPage() {
                   <h4 className="text-md font-semibold text-text-primary mb-4">Analyses per Company Over Time</h4>
                   <ResponsiveContainer width="100%" height={300}>
                     <LineChart data={pivoted}>
-                      <XAxis dataKey="month" stroke="#94a3b8" fontSize={12} />
-                      <YAxis stroke="#94a3b8" fontSize={12} />
+                      <XAxis dataKey="month" stroke={chartTheme.axisStroke} fontSize={12} />
+                      <YAxis stroke={chartTheme.axisStroke} fontSize={12} />
                       <Tooltip
-                        contentStyle={{
-                          backgroundColor: '#1e293b',
-                          border: '1px solid rgba(99, 102, 241, 0.3)',
-                          borderRadius: '8px',
-                        }}
-                        labelStyle={{ color: '#f8fafc' }}
+                        contentStyle={chartTheme.tooltipContentStyle}
+                        labelStyle={chartTheme.tooltipLabelStyle}
                       />
                       <Legend />
                       {companies.map((company, idx) => (
@@ -268,15 +258,11 @@ export function AnalyticsPage() {
                   <h4 className="text-md font-semibold text-text-primary mb-4">Analysis Types Over Time</h4>
                   <ResponsiveContainer width="100%" height={300}>
                     <BarChart data={pivoted}>
-                      <XAxis dataKey="month" stroke="#94a3b8" fontSize={12} />
-                      <YAxis stroke="#94a3b8" fontSize={12} />
+                      <XAxis dataKey="month" stroke={chartTheme.axisStroke} fontSize={12} />
+                      <YAxis stroke={chartTheme.axisStroke} fontSize={12} />
                       <Tooltip
-                        contentStyle={{
-                          backgroundColor: '#1e293b',
-                          border: '1px solid rgba(99, 102, 241, 0.3)',
-                          borderRadius: '8px',
-                        }}
-                        labelStyle={{ color: '#f8fafc' }}
+                        contentStyle={chartTheme.tooltipContentStyle}
+                        labelStyle={chartTheme.tooltipLabelStyle}
                       />
                       <Legend />
                       {types.map((type, idx) => (

frontend/src/pages/Batch.tsx

@@ -1,20 +1,37 @@
 import { useState } from 'react';
-import { useMutation } from '@tanstack/react-query';
+import { useMutation, useQuery } from '@tanstack/react-query';
 import { analysisApi } from '../api/client';
-import { Rocket, CheckCircle, AlertCircle, ChevronDown, ChevronUp } from 'lucide-react';
+import { Rocket, CheckCircle, AlertCircle, ChevronDown, ChevronUp, RefreshCw, Inbox } from 'lucide-react';
 import { BarChart, Bar, XAxis, YAxis, Tooltip, ResponsiveContainer, Cell } from 'recharts';
+import { useChartTheme } from '../context/useChartTheme';
 import type { BatchAnalysisResult } from '../types';
 
 export function Batch() {
   const [companiesInput, setCompaniesInput] = useState('');
   const [maxWorkers, setMaxWorkers] = useState(3);
+  const [selectedModel, setSelectedModel] = useState('');
   const [result, setResult] = useState<BatchAnalysisResult | null>(null);
   const [expandedItems, setExpandedItems] = useState<Set<string>>(new Set());
 
+  const chartTheme = useChartTheme();
+
+  const modelsQuery = useQuery({
+    queryKey: ['models'],
+    queryFn: () => analysisApi.listModels(),
+  });
+
+  const jobsQuery = useQuery({
+    queryKey: ['jobs'],
+    queryFn: () => analysisApi.listJobs(undefined, 20),
+  });
+
   const mutation = useMutation({
     mutationFn: ({ companies, workers }: { companies: string[]; workers: number }) =>
-      analysisApi.analyzeBatch(companies, workers),
-    onSuccess: (data) => setResult(data),
+      analysisApi.analyzeBatch(companies, workers, selectedModel || undefined),
+    onSuccess: (data) => {
+      setResult(data);
+      jobsQuery.refetch();
+    },
   });
 
   const handleSubmit = (e: React.FormEvent) => {
@@ -85,6 +102,29 @@ export function Batch() {
             <div className="text-center text-text-primary font-semibold">{maxWorkers}</div>
           </div>
 
+          <div>
+            <label className="block text-sm font-medium text-text-secondary mb-2">
+              LLM Model
+            </label>
+            <div className="relative">
+              <select
+                value={selectedModel}
+                onChange={(e) => setSelectedModel(e.target.value)}
+                className="w-full appearance-none bg-bg-card/80 border border-primary/30 rounded-lg pl-3 pr-8 py-2 text-sm text-text-primary focus:outline-none focus:border-primary focus:ring-2 focus:ring-primary/20 transition-all cursor-pointer"
+              >
+                <option value="">
+                  {modelsQuery.data ? `Default (${modelsQuery.data.default})` : 'Default'}
+                </option>
+                {modelsQuery.data?.models.map((m) => (
+                  <option key={m.id} value={m.id}>
+                    {m.name} ({m.provider})
+                  </option>
+                ))}
+              </select>
+              <ChevronDown className="absolute right-2 top-1/2 -translate-y-1/2 text-text-secondary pointer-events-none" size={16} />
+            </div>
+          </div>
+
           <button
             type="submit"
             disabled={mutation.isPending || !companiesInput.trim()}
@@ -123,13 +163,30 @@ export function Batch() {
             {mutation.error instanceof Error ? mutation.error.message : 'An unexpected error occurred.'}
             {' '}Check your connection and try again.
           </p>
+          <div className="ml-7 mt-2 flex items-center gap-3">
+            <button
+              onClick={() => {
+                const companies = companiesInput
+                  .split(/[,\n]/)
+                  .map((c) => c.trim())
+                  .filter((c) => c.length > 0);
+                if (companies.length > 0) {
+                  mutation.mutate({ companies, workers: maxWorkers });
+                }
+              }}
+              className="text-sm text-primary hover:text-primary-dark underline flex items-center gap-1"
+            >
+              <RefreshCw size={14} />
+              Retry
+            </button>
             <button
               onClick={() => mutation.reset()}
-            className="ml-7 mt-2 text-sm text-primary hover:text-primary-dark underline"
+              className="text-sm text-text-secondary hover:text-text-primary underline"
             >
               Dismiss
             </button>
           </div>
+        </div>
       )}
 
       {/* Results */}
@@ -156,15 +213,11 @@ export function Batch() {
             <div className="bg-bg-card/60 border border-primary/15 rounded-2xl p-6">
               <ResponsiveContainer width="100%" height={300}>
                 <BarChart data={chartData}>
-                  <XAxis dataKey="name" stroke="#94a3b8" fontSize={12} />
-                  <YAxis stroke="#94a3b8" fontSize={12} />
+                  <XAxis dataKey="name" stroke={chartTheme.axisStroke} fontSize={12} />
+                  <YAxis stroke={chartTheme.axisStroke} fontSize={12} />
                   <Tooltip
-                    contentStyle={{
-                      backgroundColor: '#1e293b',
-                      border: '1px solid rgba(99, 102, 241, 0.3)',
-                      borderRadius: '8px',
-                    }}
-                    labelStyle={{ color: '#f8fafc' }}
+                    contentStyle={chartTheme.tooltipContentStyle}
+                    labelStyle={chartTheme.tooltipLabelStyle}
                   />
                   <Bar dataKey="patents" radius={[4, 4, 0, 0]}>
                     {chartData.map((entry, index) => (
@@ -230,6 +283,123 @@ export function Batch() {
           </div>
         </div>
       )}
+
+      {/* Job History */}
+      <div>
+        <h3 className="text-lg font-semibold text-text-primary border-b-2 border-primary/30 pb-2 mb-4">
+          Job History
+        </h3>
+
+        {/* Loading skeleton */}
+        {jobsQuery.isLoading && (
+          <div className="space-y-3">
+            {[...Array(3)].map((_, i) => (
+              <div
+                key={i}
+                className="bg-bg-card/60 border border-primary/15 rounded-xl p-4 animate-pulse"
+              >
+                <div className="flex items-center justify-between">
+                  <div className="flex items-center gap-3">
+                    <div className="h-5 w-5 rounded-full bg-primary/20" />
+                    <div className="h-4 w-32 rounded bg-primary/20" />
+                    <div className="h-4 w-20 rounded bg-primary/10" />
+                  </div>
+                  <div className="h-6 w-20 rounded-full bg-primary/15" />
+                </div>
+                <div className="mt-3 flex gap-4">
+                  <div className="h-3 w-24 rounded bg-primary/10" />
+                  <div className="h-3 w-16 rounded bg-primary/10" />
+                </div>
+              </div>
+            ))}
+          </div>
+        )}
+
+        {/* Job history error */}
+        {jobsQuery.isError && (
+          <div className="bg-error/10 border border-error/20 rounded-xl px-4 py-3">
+            <div className="flex items-center gap-2 text-error">
+              <AlertCircle size={18} />
+              <span className="font-semibold">Failed to load job history</span>
+            </div>
+            <p className="text-text-secondary text-sm mt-1 ml-7">
+              {jobsQuery.error instanceof Error ? jobsQuery.error.message : 'Could not retrieve past jobs.'}
+            </p>
+            <button
+              onClick={() => jobsQuery.refetch()}
+              className="ml-7 mt-2 text-sm text-primary hover:text-primary-dark underline flex items-center gap-1"
+            >
+              <RefreshCw size={14} />
+              Retry
+            </button>
+          </div>
+        )}
+
+        {/* Empty state */}
+        {jobsQuery.isSuccess && jobsQuery.data.length === 0 && !result && (
+          <div className="bg-bg-card/60 border border-primary/15 border-dashed rounded-xl p-8 text-center">
+            <Inbox className="mx-auto text-text-secondary/40 mb-3" size={40} />
+            <p className="text-text-secondary font-medium">No batch jobs yet</p>
+            <p className="text-text-secondary/70 text-sm mt-1">
+              Submit a batch analysis above to get started. Your job history will appear here.
+            </p>
+          </div>
+        )}
+
+        {/* Job list */}
+        {jobsQuery.isSuccess && jobsQuery.data.length > 0 && (
+          <div className="space-y-3">
+            {jobsQuery.data.map((job) => (
+              <div
+                key={job.job_id}
+                className="bg-bg-card/60 border border-primary/15 rounded-xl p-4"
+              >
+                <div className="flex items-center justify-between">
+                  <div className="flex items-center gap-3">
+                    {job.status === 'completed' && <CheckCircle className="text-success" size={18} />}
+                    {job.status === 'failed' && <AlertCircle className="text-error" size={18} />}
+                    {(job.status === 'pending' || job.status === 'running') && (
+                      <div className="animate-spin rounded-full h-[18px] w-[18px] border-t-2 border-b-2 border-secondary" />
+                    )}
+                    <span className="font-mono text-sm text-text-primary">{job.job_id.slice(0, 8)}</span>
+                    <span className="text-text-secondary text-sm">
+                      {job.total_companies} {job.total_companies === 1 ? 'company' : 'companies'}
+                    </span>
+                  </div>
+                  <span
+                    className={`text-xs font-semibold px-2.5 py-1 rounded-full ${
+                      job.status === 'completed'
+                        ? 'bg-success/15 text-success'
+                        : job.status === 'failed'
+                          ? 'bg-error/15 text-error'
+                          : 'bg-secondary/15 text-secondary'
+                    }`}
+                  >
+                    {job.status}
+                  </span>
+                </div>
+                {(job.status === 'running' || job.status === 'pending') && job.total_companies > 0 && (
+                  <div className="mt-3">
+                    <div className="flex items-center justify-between text-xs text-text-secondary mb-1">
+                      <span>Progress</span>
+                      <span>{job.completed_companies}/{job.total_companies}</span>
+                    </div>
+                    <div className="h-1.5 bg-bg-dark rounded-full overflow-hidden">
+                      <div
+                        className="h-full bg-gradient-to-r from-primary to-secondary rounded-full transition-all duration-300"
+                        style={{ width: `${(job.completed_companies / job.total_companies) * 100}%` }}
+                      />
+                    </div>
+                  </div>
+                )}
+                {job.status === 'failed' && job.error && (
+                  <p className="mt-2 text-sm text-error/80">{job.error}</p>
+                )}
+              </div>
+            ))}
+          </div>
+        )}
+      </div>
     </div>
   );
 }

frontend/src/types/index.ts

@@ -1,46 +1,32 @@
-export interface User {
-  id: number;
-  email: string;
-  role: 'admin' | 'user';
-  created_at: string;
-}
+/**
+ * Application types derived from the auto-generated OpenAPI schema.
+ *
+ * Run `npm run generate:local` (or `npm run generate` with the API running)
+ * to regenerate `src/api/schema.d.ts` from the backend OpenAPI spec.
+ *
+ * These aliases keep the rest of the codebase stable while the source of
+ * truth lives in the generated file.
+ */
 
-export interface TokenResponse {
-  access_token: string;
-  refresh_token: string;
-  token_type: string;
-}
+import type { components } from '../api/schema';
 
-export interface CompanyAnalysis {
-  company_name: string;
-  analysis: string;
-  patent_count: number;
-  success: boolean;
-  error: string | null;
-  timestamp: string;
-}
-
-export interface BatchAnalysisResult {
-  results: CompanyAnalysis[];
-  total_companies: number;
-  successful: number;
-  failed: number;
-  timestamp: string;
-}
-
-export interface JobStatus {
-  job_id: string;
-  status: 'pending' | 'running' | 'completed' | 'failed';
-  progress: number;
-  total_companies: number;
-  completed_companies: number;
-  result: BatchAnalysisResult | null;
-  error: string | null;
-}
-
-export interface Analytics {
-  total_messages: number;
+// Re-export schema types under the names the rest of the app expects.
+export type User = components['schemas']['UserResponse'];
+export type TokenResponse = components['schemas']['TokenResponse'];
+export type CompanyAnalysis = components['schemas']['CompanyAnalysisResponse'];
+export type BatchAnalysisResult = components['schemas']['BatchAnalysisResponse'];
+export type JobStatus = components['schemas']['JobStatus'];
+export type Analytics = Omit<components['schemas']['AnalyticsResponse'], 'by_company' | 'by_type'> & {
   by_company: Array<{ company_name: string; count: number }>;
   by_type: Array<{ analysis_type: string; count: number }>;
-  period_days: number;
-}
+};
+
+// Additional generated types that may be useful elsewhere.
+export type RegisterRequest = components['schemas']['RegisterRequest'];
+export type LoginRequest = components['schemas']['LoginRequest'];
+export type RefreshRequest = components['schemas']['RefreshRequest'];
+export type UpdateRoleRequest = components['schemas']['UpdateRoleRequest'];
+export type HealthResponse = components['schemas']['HealthResponse'];
+export type BatchAnalysisRequest = components['schemas']['BatchAnalysisRequest'];
+export type ValidationError = components['schemas']['ValidationError'];
+export type HTTPValidationError = components['schemas']['HTTPValidationError'];

requirements.txt

@@ -17,3 +17,4 @@ PyJWT
 slowapi
 apscheduler
 boto3
+reportlab

tests/test_api.py

@@ -182,3 +182,47 @@ class TestJobEndpoints:
         """Test listing jobs with status filter."""
         response = client.get("/jobs?status=completed")
         assert response.status_code == 200
+
+
+class TestModelValidation:
+    """Test that unsupported model identifiers are rejected."""
+
+    def test_analyze_rejects_unsupported_model(self, client, mock_analyzer):
+        """GET /analyze/{company} with unsupported model returns 400."""
+        response = client.get("/analyze/nvidia?model=fake/nonexistent-model")
+        assert response.status_code == 400
+        assert "Unsupported model" in response.json()["detail"]
+
+    def test_analyze_accepts_supported_model(self, client, mock_analyzer):
+        """GET /analyze/{company} with a supported model succeeds."""
+        mock_result = CompanyAnalysisResult(
+            company_name="nvidia",
+            analysis="test",
+            patent_count=1,
+            success=True,
+            timestamp=datetime.now(),
+            model="anthropic/claude-3.5-sonnet",
+        )
+        mock_analyzer._analyze_company_safe.return_value = mock_result
+
+        response = client.get("/analyze/nvidia?model=anthropic/claude-3.5-sonnet")
+        assert response.status_code == 200
+
+    def test_batch_rejects_unsupported_model(self, client, mock_analyzer):
+        """POST /analyze/batch with unsupported model returns 400."""
+        response = client.post(
+            "/analyze/batch",
+            json={"companies": ["nvidia"], "model": "fake/nonexistent-model"},
+        )
+        assert response.status_code == 400
+        assert "Unsupported model" in response.json()["detail"]
+
+    def test_list_models_returns_supported(self, client):
+        """GET /models returns the allow-list."""
+        response = client.get("/models")
+        assert response.status_code == 200
+        data = response.json()
+        assert "models" in data
+        assert "default" in data
+        assert len(data["models"]) > 0
+        assert all("id" in m and "name" in m and "provider" in m for m in data["models"])

tests/test_auth.py

@@ -1,13 +1,29 @@
-"""Tests for JWT authentication flow: register, login, protected routes, refresh, admin access."""
+"""Tests for JWT authentication flow: register, login, protected routes, refresh, admin access.
 
-from datetime import datetime, timezone
+Covers all five scenarios required by issue #1624:
+1. Registration (POST /auth/register)
+2. Login (POST /auth/login)
+3. Protected route access (GET /auth/me) -- valid, missing, expired, wrong-type tokens
+4. Token refresh (POST /auth/refresh)
+5. Admin-only endpoints (GET /admin/users, PATCH role, DELETE user)
+
+All tests use mocked DB fixtures and require no live database.
+"""
+
+from datetime import datetime, timedelta, timezone
 from unittest.mock import MagicMock, patch
 
+import jwt as pyjwt
 import pytest
 from fastapi.testclient import TestClient
 
 from SPARC.api import app
-from SPARC.auth import create_access_token, create_refresh_token
+from SPARC.auth import (
+    JWT_ALGORITHM,
+    JWT_SECRET,
+    create_access_token,
+    create_refresh_token,
+)
 
 
 @pytest.fixture
@@ -171,12 +187,6 @@ class TestGetMe:
 
     def test_expired_token_returns_401(self, client, mock_db):
         """An expired token should return 401."""
-        # Create a token that has already expired
-        from datetime import timedelta
-
-        import jwt as pyjwt
-        from SPARC.auth import JWT_ALGORITHM, JWT_SECRET
-
         payload = {
             "sub": "1",
             "email": "user@test.com",
@@ -300,3 +310,193 @@ class TestAdminUsers:
 
         assert response.status_code == 400
         assert "own role" in response.json()["detail"].lower()
+
+    def test_role_change_nonexistent_user_returns_404(self, client, mock_db):
+        """Changing role for a user that does not exist should return 404."""
+        admin = _make_admin_user()
+        mock_db.get_user_by_id.return_value = admin
+        mock_db.update_user_role.return_value = None
+
+        response = client.patch(
+            "/admin/users/999/role",
+            json={"role": "admin"},
+            headers=_auth_header(admin),
+        )
+
+        assert response.status_code == 404
+        assert "not found" in response.json()["detail"].lower()
+
+    def test_regular_user_cannot_change_role(self, client, mock_db):
+        """Non-admin user should receive 403 when trying to change roles."""
+        user = _make_regular_user()
+        mock_db.get_user_by_id.return_value = user
+
+        response = client.patch(
+            "/admin/users/1/role",
+            json={"role": "admin"},
+            headers=_auth_header(user),
+        )
+
+        assert response.status_code == 403
+
+
+class TestAdminDeleteUser:
+    """DELETE /admin/users/{user_id}"""
+
+    def test_admin_can_delete_user(self, client, mock_db):
+        """Admin should be able to delete another user."""
+        admin = _make_admin_user()
+        mock_db.get_user_by_id.return_value = admin
+        mock_db.delete_user.return_value = True
+
+        response = client.delete(
+            "/admin/users/2",
+            headers=_auth_header(admin),
+        )
+
+        assert response.status_code == 200
+        assert "deleted" in response.json()["message"].lower()
+        mock_db.delete_user.assert_called_once_with(2)
+
+    def test_admin_cannot_delete_self(self, client, mock_db):
+        """Admin should not be able to delete themselves."""
+        admin = _make_admin_user()
+        mock_db.get_user_by_id.return_value = admin
+
+        response = client.delete(
+            "/admin/users/1",
+            headers=_auth_header(admin),
+        )
+
+        assert response.status_code == 400
+        assert "yourself" in response.json()["detail"].lower()
+
+    def test_delete_nonexistent_user_returns_404(self, client, mock_db):
+        """Deleting a user that does not exist should return 404."""
+        admin = _make_admin_user()
+        mock_db.get_user_by_id.return_value = admin
+        mock_db.delete_user.return_value = False
+
+        response = client.delete(
+            "/admin/users/999",
+            headers=_auth_header(admin),
+        )
+
+        assert response.status_code == 404
+        assert "not found" in response.json()["detail"].lower()
+
+    def test_regular_user_cannot_delete_user(self, client, mock_db):
+        """Non-admin user should receive 403 when trying to delete users."""
+        user = _make_regular_user()
+        mock_db.get_user_by_id.return_value = user
+
+        response = client.delete(
+            "/admin/users/1",
+            headers=_auth_header(user),
+        )
+
+        assert response.status_code == 403
+
+    def test_no_token_cannot_delete_user(self, client):
+        """Missing token should be rejected for delete endpoint."""
+        response = client.delete("/admin/users/1")
+        assert response.status_code in (401, 403)
+
+
+class TestEdgeCases:
+    """Additional edge-case tests for auth robustness."""
+
+    def test_register_invalid_email_returns_422(self, client, mock_db):
+        """Registration with an invalid email format should return 422."""
+        response = client.post(
+            "/auth/register",
+            json={"email": "not-an-email", "password": "securepass123"},
+        )
+
+        assert response.status_code == 422
+
+    def test_register_short_password_returns_422(self, client, mock_db):
+        """Registration with a password shorter than 8 chars should return 422."""
+        response = client.post(
+            "/auth/register",
+            json={"email": "user@test.com", "password": "short"},
+        )
+
+        assert response.status_code == 422
+
+    def test_register_missing_fields_returns_422(self, client, mock_db):
+        """Registration with missing fields should return 422."""
+        response = client.post("/auth/register", json={})
+        assert response.status_code == 422
+
+    def test_login_missing_fields_returns_422(self, client, mock_db):
+        """Login with missing fields should return 422."""
+        response = client.post("/auth/login", json={"email": "user@test.com"})
+        assert response.status_code == 422
+
+    def test_malformed_token_returns_401(self, client, mock_db):
+        """A completely malformed token string should return 401."""
+        response = client.get(
+            "/auth/me",
+            headers={"Authorization": "Bearer not.a.valid.jwt.token"},
+        )
+        assert response.status_code == 401
+
+    def test_token_with_wrong_secret_returns_401(self, client, mock_db):
+        """A token signed with a different secret should return 401."""
+        payload = {
+            "sub": "1",
+            "email": "user@test.com",
+            "role": "user",
+            "exp": datetime.now(timezone.utc) + timedelta(hours=1),
+            "type": "access",
+        }
+        wrong_secret_token = pyjwt.encode(payload, "wrong-secret", algorithm=JWT_ALGORITHM)
+
+        response = client.get(
+            "/auth/me",
+            headers={"Authorization": f"Bearer {wrong_secret_token}"},
+        )
+        assert response.status_code == 401
+
+    def test_token_for_deleted_user_returns_401(self, client, mock_db):
+        """A valid token for a user no longer in the DB should return 401."""
+        user = _make_regular_user()
+        mock_db.get_user_by_id.return_value = None  # user was deleted
+
+        response = client.get("/auth/me", headers=_auth_header(user))
+        assert response.status_code == 401
+
+    def test_refresh_for_deleted_user_returns_401(self, client, mock_db):
+        """Refreshing a token for a deleted user should return 401."""
+        user = _make_regular_user()
+        mock_db.get_user_by_id.return_value = None
+        refresh = create_refresh_token(user["id"], user["email"], user["role"])
+
+        response = client.post(
+            "/auth/refresh", json={"refresh_token": refresh}
+        )
+        assert response.status_code == 401
+
+    def test_login_returns_decodable_tokens(self, client, mock_db):
+        """Tokens returned by login should be decodable and contain expected claims."""
+        user = _make_regular_user()
+        mock_db.authenticate_user.return_value = user
+
+        response = client.post(
+            "/auth/login",
+            json={"email": "user@test.com", "password": "correctpassword"},
+        )
+
+        data = response.json()
+        access_payload = pyjwt.decode(
+            data["access_token"], JWT_SECRET, algorithms=[JWT_ALGORITHM]
+        )
+        assert access_payload["sub"] == str(user["id"])
+        assert access_payload["email"] == user["email"]
+        assert access_payload["type"] == "access"
+
+        refresh_payload = pyjwt.decode(
+            data["refresh_token"], JWT_SECRET, algorithms=[JWT_ALGORITHM]
+        )
+        assert refresh_payload["type"] == "refresh"

tests/test_rate_limit.py

@@ -1,7 +1,8 @@
 """Tests for rate limiting on auth endpoints."""
 
+from unittest.mock import MagicMock, patch
+
 import pytest
-from unittest.mock import Mock, patch, MagicMock
 from fastapi.testclient import TestClient
 
 from SPARC.api import app

tests/test_security.py

@@ -14,6 +14,7 @@ class TestJWTSecretStartupCheck:
         with patch.dict(os.environ, {"APP_ENV": "production"}):
             # Reload config to pick up the new APP_ENV
             import importlib
+
             import SPARC.config
             importlib.reload(SPARC.config)
 
@@ -31,6 +32,7 @@ class TestJWTSecretStartupCheck:
         """Starting with default secret and APP_ENV=development must not raise."""
         with patch.dict(os.environ, {"APP_ENV": "development"}):
             import importlib
+
             import SPARC.config
             importlib.reload(SPARC.config)
 
@@ -46,6 +48,7 @@ class TestJWTSecretStartupCheck:
         """Starting with a custom secret in production must not raise."""
         with patch.dict(os.environ, {"APP_ENV": "production"}):
             import importlib
+
             import SPARC.config
             importlib.reload(SPARC.config)
 
@@ -65,6 +68,7 @@ class TestJWTSecretStartupCheck:
             env.pop("APP_ENV", None)
             with patch.dict(os.environ, env, clear=True):
                 import importlib
+
                 import SPARC.config
                 importlib.reload(SPARC.config)
 
@@ -84,6 +88,7 @@ class TestCORSConfig:
         """When CORS_ORIGINS is unset, defaults to localhost origins."""
         with patch.dict(os.environ, {"CORS_ORIGINS": ""}):
             import importlib
+
             import SPARC.config
             importlib.reload(SPARC.config)
             assert SPARC.config.cors_origins == [
@@ -95,6 +100,7 @@ class TestCORSConfig:
         """Setting CORS_ORIGINS configures allowed origins."""
         with patch.dict(os.environ, {"CORS_ORIGINS": "https://sparc.example.com,https://app.example.com"}):
             import importlib
+
             import SPARC.config
             importlib.reload(SPARC.config)
             assert SPARC.config.cors_origins == [
@@ -109,6 +115,7 @@ class TestCORSConfig:
         """A single origin without comma works correctly."""
         with patch.dict(os.environ, {"CORS_ORIGINS": "https://sparc.example.com"}):
             import importlib
+
             import SPARC.config
             importlib.reload(SPARC.config)
             assert SPARC.config.cors_origins == ["https://sparc.example.com"]