From 5241da6fb53dbd549d8db424d03783a9708a5e4d Mon Sep 17 00:00:00 2001
From: Mohsin Ali <imohsinali1024@gmail.com>
Date: Wed, 8 Apr 2026 11:42:30 +0500
Subject: [PATCH 1/4] Graph checkpointer fix and other bugs fixed

---
 .env.example                                  |  23 +-
 .gitignore                                    |   9 +-
 Dockerfile                                    |   6 +-
 README.md                                     |  12 +-
 docker-compose.yml                            |  22 +-
 pyproject.toml                                |   1 +
 src/longparser/chunkers/hybrid_chunker.py     |   4 +-
 .../extractors/docling_extractor.py           |  31 +-
 src/longparser/server/app.py                  | 158 ++++++++-
 src/longparser/server/chat/checkpointer.py    |  45 +++
 src/longparser/server/chat/graph.py           |  19 +-
 src/longparser/server/chat/llm_chain.py       |   8 +-
 src/longparser/server/db.py                   |  10 +-
 src/longparser/server/embeddings.py           |   6 +-
 src/longparser/server/queue.py                |   7 +-
 src/longparser/server/vectorstores.py         |  16 +-
 src/longparser/server/worker.py               |  10 +-
 tests/unit/test_llm_chain.py                  |  23 +-
 uv.lock                                       | 325 +++++++++++-------
 19 files changed, 510 insertions(+), 225 deletions(-)
 create mode 100644 src/longparser/server/chat/checkpointer.py

diff --git a/.env.example b/.env.example
index d50bb3e..9f80665 100644
--- a/.env.example
+++ b/.env.example
@@ -5,11 +5,25 @@
 # ============================================================
 
 # ── Database ─────────────────────────────────────────────────
+# Local dev (no auth):
 LONGPARSER_MONGO_URL=mongodb://localhost:27017
+# Docker Compose (auth handled by docker-compose.yml override):
+#   No need to change — docker-compose sets the authenticated URL automatically.
+# Production (with auth):
+#   LONGPARSER_MONGO_URL=mongodb://USER:PASSWORD@host:27017/longparser?authSource=admin
 LONGPARSER_DB_NAME=longparser
 
 # ── Job Queue (Redis / ARQ) ───────────────────────────────────
+# Local dev (no auth):
 LONGPARSER_REDIS_URL=redis://localhost:6379
+# Production (with auth):
+#   LONGPARSER_REDIS_URL=redis://:PASSWORD@host:6379
+
+# ── Docker Auth Credentials (used by docker-compose.yml) ──────
+# Change these before deploying. Defaults are for local dev only.
+MONGO_USER=longparser
+MONGO_PASS=longparser
+REDIS_PASS=longparser
 
 # ── File Storage ──────────────────────────────────────────────
 LONGPARSER_UPLOAD_DIR=./uploads
@@ -17,7 +31,7 @@ LONGPARSER_UPLOAD_DIR=./uploads
 # ── LLM Provider ─────────────────────────────────────────────
 # One of: openai | gemini | groq | openrouter
 LONGPARSER_LLM_PROVIDER=openai
-LONGPARSER_LLM_MODEL=gpt-4o
+LONGPARSER_LLM_MODEL=gpt-5.3
 
 # ── API Keys ──────────────────────────────────────────────────
 OPENAI_API_KEY=sk-...
@@ -41,3 +55,10 @@ QDRANT_API_KEY=                    # Required only for Qdrant Cloud
 LONGPARSER_OCR_BACKEND=easyocr
 LONGPARSER_OCR_USE_GPU=false
 
+# ── Security (added by audit) ────────────────────────────────
+# CORS allowed origins (comma-separated). Default: * (all origins)
+# LONGPARSER_CORS_ORIGINS=https://app.example.com,https://admin.example.com
+# Rate limit: max requests per minute per tenant. Default: 60
+# LONGPARSER_RATE_LIMIT=60
+# Admin API keys (comma-separated). If empty, all users are admin.
+# LONGPARSER_ADMIN_KEYS=key1,key2
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index 31ca885..338a52d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -60,4 +60,11 @@ MANIFEST.in
 .env
 
 # IDE / Gemini agent
-.gemini/
\ No newline at end of file
+.gemini/
+
+# Logs
+*.log
+
+# Temporary test files
+test_hack.csv
+tests_temp/
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile
index 978f0b8..ca6b99f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -28,7 +28,7 @@ COPY pyproject.toml uv.lock ./
 # 2) install only dependencies (not project) — cache-friendly
 # Use --frozen to respect lockfile, skip CUDA/NVIDIA packages (installed as CPU-only later)
 ENV UV_HTTP_TIMEOUT=300
-RUN uv sync --no-cache --frozen --no-install-project --extra api --extra embeddings --extra chroma --extra latex-ocr \
+RUN uv sync --no-cache --frozen --no-install-project --extra server --extra embeddings --extra chroma --extra latex-ocr \
     --no-install-package torch \
     --no-install-package torchvision \
     --no-install-package nvidia-cublas-cu12 \
@@ -54,7 +54,7 @@ RUN uv sync --no-cache --frozen --no-install-project --extra api --extra embeddi
 COPY . .
 
 # 4) install the project itself (skip torch/CUDA, installed as CPU-only next)
-RUN uv sync --no-cache --frozen --extra api --extra embeddings --extra chroma --extra latex-ocr \
+RUN uv sync --no-cache --frozen --extra server --extra embeddings --extra chroma --extra latex-ocr \
     --no-install-package torch \
     --no-install-package torchvision \
     --no-install-package nvidia-cublas-cu12 \
@@ -88,4 +88,4 @@ USER appuser
 
 EXPOSE 8000
 
-CMD [".venv/bin/uvicorn", "clean_rag.api.app:app", "--host", "0.0.0.0", "--port", "8000"]
+CMD [".venv/bin/uvicorn", "longparser.server.app:app", "--host", "0.0.0.0", "--port", "8000"]
diff --git a/README.md b/README.md
index 7da804e..3b4f72a 100644
--- a/README.md
+++ b/README.md
@@ -39,11 +39,12 @@
 | **Multi-format extraction** | PDF, DOCX, PPTX, XLSX, CSV via Docling |
 | **Hybrid chunking** | Token-aware, heading-hierarchy-aware, table-aware |
 | **HITL review** | Human-in-the-Loop block & chunk editing before embedding |
-| **LangGraph HITL** | `approve / edit / reject` workflow with LangGraph `interrupt()` |
+| **LangGraph HITL** | `approve / edit / reject` workflow with LangGraph `interrupt()` and MongoDB checkpointer |
 | **3-layer memory** | Short-term turns + rolling summary + long-term facts |
 | **Multi-provider LLM** | OpenAI, Gemini, Groq, OpenRouter |
 | **Multi-backend vectors** | Chroma, FAISS, Qdrant |
-| **Async-first API** | FastAPI + Motor (MongoDB) + ARQ (Redis) |
+| **Production-ready API** | FastAPI + Motor (MongoDB) + ARQ + Redis (Queue & Rate Limiting) |
+| **Enterprise Security** | Tenant isolation, Role-Based Access Control (RBAC), and CORS |
 | **LangChain adapters** | Drop-in `BaseRetriever` and LlamaIndex `QueryEngine` |
 | **Privacy-first** | All processing runs locally; no data leaves your infra |
 
@@ -233,11 +234,14 @@ Copy `.env.example` to `.env` and set:
 | Variable | Default | Description |
 |----------|---------|-------------|
 | `LONGPARSER_MONGO_URL` | `mongodb://localhost:27017` | MongoDB connection |
-| `LONGPARSER_REDIS_URL` | `redis://localhost:6379` | Redis for job queue |
+| `LONGPARSER_REDIS_URL` | `redis://localhost:6379` | Redis for job queue & rate limits |
 | `LONGPARSER_LLM_PROVIDER` | `openai` | LLM provider |
-| `LONGPARSER_LLM_MODEL` | `gpt-4o` | Model name |
+| `LONGPARSER_LLM_MODEL` | `gpt-5.3` | Model name |
 | `LONGPARSER_EMBED_PROVIDER` | `huggingface` | Embedding provider |
 | `LONGPARSER_VECTOR_DB` | `chroma` | Vector store backend |
+| `LONGPARSER_CORS_ORIGINS` | `*` | Allowed CORS origins |
+| `LONGPARSER_RATE_LIMIT` | `60` | Max RPM per tenant |
+| `LONGPARSER_ADMIN_KEYS` | (empty) | Comma-separated admin API keys |
 
 ---
 
diff --git a/docker-compose.yml b/docker-compose.yml
index 3a21423..707f089 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,11 +1,14 @@
 services:
   api:
     build: .
-    container_name: cleanrag-api
+    container_name: longparser-api
     command: [ ".venv/bin/uvicorn", "longparser.server.app:app", "--host", "0.0.0.0", "--port", "8000" ]
     env_file: .env
     environment:
       - LONGPARSER_MFD_MODEL_DIR=/app/models/mfd
+      # ── For Docker networking, override the localhost URLs from .env ──
+      - LONGPARSER_MONGO_URL=mongodb://${MONGO_USER:-longparser}:${MONGO_PASS:-longparser}@mongo:27017/longparser?authSource=admin
+      - LONGPARSER_REDIS_URL=redis://:${REDIS_PASS:-longparser}@redis:6379
     ports:
       - "8000:8000"
     volumes:
@@ -27,11 +30,13 @@ services:
 
   worker:
     build: .
-    container_name: cleanrag-worker
+    container_name: longparser-worker
     command: [ ".venv/bin/arq", "longparser.server.worker.WorkerSettings" ]
     env_file: .env
     environment:
       - LONGPARSER_MFD_MODEL_DIR=/app/models/mfd
+      - LONGPARSER_MONGO_URL=mongodb://${MONGO_USER:-longparser}:${MONGO_PASS:-longparser}@mongo:27017/longparser?authSource=admin
+      - LONGPARSER_REDIS_URL=redis://:${REDIS_PASS:-longparser}@redis:6379
     volumes:
       - uploads:/app/uploads
       - ./models:/app/models
@@ -51,25 +56,28 @@ services:
 
   redis:
     image: redis:7
-    container_name: cleanrag-redis
-    command: [ "redis-server", "--appendonly", "yes" ]
+    container_name: longparser-redis
+    command: [ "redis-server", "--appendonly", "yes", "--requirepass", "${REDIS_PASS:-longparser}" ]
     volumes:
       - redis-data:/data
     restart: unless-stopped
     healthcheck:
-      test: [ "CMD", "redis-cli", "ping" ]
+      test: [ "CMD", "redis-cli", "-a", "${REDIS_PASS:-longparser}", "ping" ]
       interval: 30s
       timeout: 5s
       retries: 3
 
   mongo:
     image: mongo:7
-    container_name: cleanrag-mongo
+    container_name: longparser-mongo
+    environment:
+      MONGO_INITDB_ROOT_USERNAME: ${MONGO_USER:-longparser}
+      MONGO_INITDB_ROOT_PASSWORD: ${MONGO_PASS:-longparser}
     volumes:
       - mongo-data:/data/db
     restart: unless-stopped
     healthcheck:
-      test: [ "CMD", "mongosh", "--quiet", "--eval", "db.adminCommand('ping').ok" ]
+      test: [ "CMD", "mongosh", "-u", "${MONGO_USER:-longparser}", "-p", "${MONGO_PASS:-longparser}", "--authenticationDatabase", "admin", "--quiet", "--eval", "db.adminCommand('ping').ok" ]
       interval: 30s
       timeout: 5s
       retries: 3
diff --git a/pyproject.toml b/pyproject.toml
index bde6e25..38330da 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,6 +35,7 @@ dependencies = [
     "pydantic>=2.0,<3",
     "docling>=2.14",
     "docling-core>=2.13",
+    "langgraph-checkpoint-mongodb>=0.3.1",
 ]
 
 [project.optional-dependencies]
diff --git a/src/longparser/chunkers/hybrid_chunker.py b/src/longparser/chunkers/hybrid_chunker.py
index 544ec69..a6de833 100755
--- a/src/longparser/chunkers/hybrid_chunker.py
+++ b/src/longparser/chunkers/hybrid_chunker.py
@@ -345,10 +345,10 @@ def _generate_schema_chunk(
         sample_rows.append(f"  Row {r_idx}: " + "; ".join(parts))
     
     lines = [
-        f"[TABLE SCHEMA]",
+        "[TABLE SCHEMA]",
         f"Table ID: {block.block_id}",
         f"Rows: {n_data} (data rows), Columns: {n_cols}",
-        f"Columns:",
+        "Columns:",
     ]
     lines.extend(col_profiles)
     lines.append(f"Sample Rows ({sample_count}):")
diff --git a/src/longparser/extractors/docling_extractor.py b/src/longparser/extractors/docling_extractor.py
index 54fd333..ae5ecd8 100755
--- a/src/longparser/extractors/docling_extractor.py
+++ b/src/longparser/extractors/docling_extractor.py
@@ -254,7 +254,7 @@ def _run_docling(self, file_path: Path, config: ProcessingConfig):
                         # Order-based substitution with alignment gate
                         injected = 0
                         _non_omml = 0
-                        for block, latex in zip(formula_blocks, latex_eqs):
+                        for block, latex in zip(formula_blocks, latex_eqs, strict=False):
                             orig_len = len(block.text.strip()) if block.text else 0
                             latex_len = len(latex.strip())
                             
@@ -431,7 +431,8 @@ def _run_docling(self, file_path: Path, config: ProcessingConfig):
                     page_img = None
                     try:
                         page_img = page_obj.image.pil_image
-                    except Exception:
+                    except Exception as e:
+                        logger.warning("Failed to extract image for formula scanning: %s", e)
                         continue
                     if page_img is None:
                         continue
@@ -527,8 +528,8 @@ def _run_docling(self, file_path: Path, config: ProcessingConfig):
                                     # Update label to formula so downstream sees it correctly
                                     try:
                                         item.label = type(item.label)("formula")
-                                    except Exception:
-                                        pass
+                                    except Exception as e:
+                                        logger.debug(f"Failed to update formula label: {e}")
                                     replaced = True
                                     logger.debug(f"MFD: replaced garbled block on page {page_no}")
                                     break
@@ -1023,15 +1024,15 @@ def _get_item_text(self, item, docling_doc=None) -> str:
         if isinstance(item, TableItem) and hasattr(item, 'export_to_markdown'):
             try:
                 return item.export_to_markdown(doc=docling_doc)
-            except Exception:
-                pass
+            except Exception as e:
+                logger.debug(f"Failed to export table item to markdown: {e}")
         if hasattr(item, 'text') and item.text:
             return item.text
         if hasattr(item, 'export_to_markdown'):
             try:
                 return item.export_to_markdown()
-            except Exception:
-                pass
+            except Exception as e:
+                logger.debug(f"Failed to export item to markdown: {e}")
         return ""
 
     def _get_item_confidence(self, item) -> float:
@@ -1080,10 +1081,10 @@ def _build_pptx_text_map(self, file_path: Path) -> Dict[int, Dict[str, PptxParaI
                                 if s.placeholder_format.type == PP_PH.SUBTITLE:
                                     has_subtitle_placeholder = True
                                     break
-                            except Exception:
-                                pass
-                except ImportError:
-                    pass
+                            except Exception as e:
+                                logger.debug(f"Failed to check PPTX subtitle placeholder format: {e}")
+                except ImportError as e:
+                    logger.debug(f"Failed to import python-pptx: {e}")
             
             for shape in slide.shapes:
                 found_title = self._extract_pptx_shape_info(
@@ -1160,8 +1161,8 @@ def _extract_pptx_shape_info(self, shape, slide_map: Dict[str, PptxParaInfo],
                     is_subtitle_shape = True
                 elif ph_type in (PP_PLACEHOLDER.DATE, PP_PLACEHOLDER.FOOTER, PP_PLACEHOLDER.SLIDE_NUMBER):
                     is_footer_shape = True
-            except Exception:
-                pass
+            except Exception as e:
+                logger.debug(f"Failed to check PPTX placeholder format type: {e}")
         
         # Skip footer/date/slide-number shapes entirely
         if is_footer_shape:
@@ -1267,7 +1268,7 @@ def extract(
         
         # Calculate file hash
         with open(file_path, "rb") as f:
-            file_hash = hashlib.md5(f.read()).hexdigest()
+            file_hash = hashlib.sha256(f.read()).hexdigest()
         
         # Get conversion result (cached or new)
         result = self._run_docling(file_path, config)
diff --git a/src/longparser/server/app.py b/src/longparser/server/app.py
index 387d62f..ab24677 100755
--- a/src/longparser/server/app.py
+++ b/src/longparser/server/app.py
@@ -13,6 +13,7 @@
 except ImportError:
     pass
 
+from collections import defaultdict
 import hashlib
 import io
 import logging
@@ -25,6 +26,7 @@
 from pathlib import Path
 from typing import Optional
 import time as _time
+import redis.asyncio as redis
 
 from fastapi import (
     FastAPI,
@@ -35,6 +37,7 @@
     Request,
     UploadFile,
 )
+from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse, StreamingResponse
 
 from .db import Database
@@ -57,6 +60,15 @@
     SearchResponse,
     SearchResult,
 )
+from .chat.schemas import (
+    ChatConfig,
+    ChatRequest,
+    ChatResponse,
+    CreateSessionRequest,
+    HITLResumeRequest,
+    LLMAnswer,
+    SourceRef,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -92,8 +104,18 @@
 async def lifespan(app: FastAPI):
     """Startup/shutdown hooks."""
     await db.create_indexes()
+    
+    from .chat.checkpointer import init_checkpointer, close_checkpointer
+    await init_checkpointer(
+        mongo_uri=os.getenv("LONGPARSER_MONGO_URL", "mongodb://localhost:27017"),
+        db_name=os.getenv("LONGPARSER_DB_NAME", "longparser"),
+    )
+    
     logger.info("LongParser API started")
     yield
+    
+    await close_checkpointer()
+    
     await queue.close()
     await db.close()
     if hasattr(app.state, "chat_engine"):
@@ -104,11 +126,69 @@ async def lifespan(app: FastAPI):
 app = FastAPI(
     title="LongParser API",
     description="Document intelligence engine with HITL review, embedding, and vector search.",
-    version="0.3.0",
+    version=__import__("longparser").__version__,
     lifespan=lifespan,
 )
 
 
+# ---------------------------------------------------------------------------
+# CORS middleware
+# ---------------------------------------------------------------------------
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=os.getenv("LONGPARSER_CORS_ORIGINS", "*").split(","),
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+# ---------------------------------------------------------------------------
+# Global exception handler
+# ---------------------------------------------------------------------------
+
+@app.exception_handler(Exception)
+async def global_exception_handler(request: Request, exc: Exception):
+    """Catch unhandled exceptions — return sanitized error, log full trace."""
+    logger.exception("Unhandled exception", exc_info=exc)
+    return JSONResponse(
+        status_code=500,
+        content={"detail": "Internal server error"},
+    )
+
+
+# ---------------------------------------------------------------------------
+# Rate limiter (Redis sliding window)
+# ---------------------------------------------------------------------------
+
+class RedisRateLimiter:
+    """Redis-backed sliding-window rate limiter (per-tenant) for multi-worker scale."""
+
+    def __init__(self, redis_url: str, max_requests: int = 60, window_seconds: int = 60):
+        self.max_requests = max_requests
+        self.window = window_seconds
+        self.redis = redis.from_url(redis_url)
+
+    async def check(self, key: str) -> bool:
+        now = _time.time()
+        redis_key = f"rate_limit:{key}"
+        pipeline = self.redis.pipeline()
+        pipeline.zremrangebyscore(redis_key, 0, now - self.window)
+        pipeline.zadd(redis_key, {str(now): now})
+        pipeline.zcard(redis_key)
+        pipeline.expire(redis_key, self.window)
+        results = await pipeline.execute()
+        return results[2] <= self.max_requests
+
+
+_rate_limiter = RedisRateLimiter(
+    redis_url=os.getenv("LONGPARSER_REDIS_URL", "redis://localhost:6379/0"),
+    max_requests=int(os.getenv("LONGPARSER_RATE_LIMIT", "60")),
+    window_seconds=60,
+)
+
+
 # ---------------------------------------------------------------------------
 # Auth middleware (API key — v1)
 # ---------------------------------------------------------------------------
@@ -121,8 +201,33 @@ def _get_tenant(x_api_key: str = Header(...)) -> str:
     """
     if not x_api_key or len(x_api_key) < 8:
         raise HTTPException(status_code=401, detail="Invalid API key")
-    # For v1, use a hash of the key as tenant_id
-    return hashlib.sha256(x_api_key.encode()).hexdigest()[:16]
+    # Use 32 hex chars (128-bit) to resist brute-force collision attacks
+    return hashlib.sha256(x_api_key.encode()).hexdigest()[:32]
+
+
+# ---------------------------------------------------------------------------
+# RBAC (role-based access control)
+# ---------------------------------------------------------------------------
+
+_ADMIN_KEYS: set[str] = set(
+    k.strip() for k in os.getenv("LONGPARSER_ADMIN_KEYS", "").split(",") if k.strip()
+)
+
+
+def _get_role(x_api_key: str) -> str:
+    """Resolve user role from API key.
+
+    If LONGPARSER_ADMIN_KEYS is not set, all users are admins (backward compatible).
+    """
+    if not _ADMIN_KEYS:
+        return "admin"
+    return "admin" if x_api_key in _ADMIN_KEYS else "reviewer"
+
+
+def _require_admin(x_api_key: str) -> None:
+    """Raise 403 if the API key does not have admin role."""
+    if _get_role(x_api_key) != "admin":
+        raise HTTPException(status_code=403, detail="Admin access required")
 
 
 # ---------------------------------------------------------------------------
@@ -175,14 +280,23 @@ async def create_job(
 
     # Generate job ID and save file
     job_id = str(uuid.uuid4())
-    dest = UPLOAD_DIR / tenant_id / job_id / (file.filename or "document")
+
+    # --- Path Traversal Protection ---
+    # Strip all directory components from the user-provided filename
+    # to prevent payloads like "../../../etc/passwd" from escaping UPLOAD_DIR.
+    raw_name = file.filename or "document"
+    safe_name = Path(raw_name).name  # keeps only the final component
+    if not safe_name or safe_name in (".", ".."):
+        safe_name = "document"
+
+    dest = UPLOAD_DIR / tenant_id / job_id / safe_name
     file_hash, file_size = await _stream_upload(file, dest)
 
     # Create job in MongoDB
     job_doc = await db.create_job(
         tenant_id=tenant_id,
         job_id=job_id,
-        source_file=file.filename or "document",
+        source_file=safe_name,
         file_hash=file_hash,
     )
 
@@ -197,7 +311,7 @@ async def create_job(
         job_id=job_id,
         tenant_id=tenant_id,
         status=JobStatus.QUEUED,
-        source_file=file.filename or "document",
+        source_file=safe_name,
         file_hash=file_hash,
         created_at=job_doc["created_at"],
     )
@@ -498,6 +612,7 @@ async def purge_block(
     x_api_key: str = Header(...),
 ):
     """Admin-only: permanently delete a block. Writes a tombstone revision."""
+    _require_admin(x_api_key)
     tenant_id = _get_tenant(x_api_key)
 
     # Get block before deletion (for tombstone)
@@ -545,6 +660,7 @@ async def purge_chunk(
     x_api_key: str = Header(...),
 ):
     """Admin-only: permanently delete a chunk. Writes a tombstone revision."""
+    _require_admin(x_api_key)
     tenant_id = _get_tenant(x_api_key)
 
     # Get chunk before deletion
@@ -852,8 +968,19 @@ async def search(body: SearchRequest, x_api_key: str = Header(...)):
 
 @app.middleware("http")
 async def observability_middleware(request: Request, call_next):
-    """Attach request_id and log structured request data."""
+    """Attach request_id, enforce rate limits, and log structured request data."""
     request_id = str(uuid.uuid4())[:8]
+
+    # ── Rate limiting (skip unauthenticated endpoints) ──
+    api_key = request.headers.get("x-api-key")
+    if api_key and len(api_key) >= 8:
+        tenant_key = hashlib.sha256(api_key.encode()).hexdigest()[:32]
+        if not await _rate_limiter.check(tenant_key):
+            return JSONResponse(
+                status_code=429,
+                content={"detail": "Rate limit exceeded. Try again later."},
+            )
+
     start = _time.monotonic()
     response = await call_next(request)
     latency_ms = (_time.monotonic() - start) * 1000
@@ -876,12 +1003,10 @@ async def observability_middleware(request: Request, call_next):
 
 @app.post("/chat/sessions", status_code=201)
 async def create_chat_session(
-    body: dict,
+    req: CreateSessionRequest,
     x_api_key: str = Header(...),
 ):
     """Create a new chat session (server-generated session_id)."""
-    from .chat.schemas import CreateSessionRequest
-    req = CreateSessionRequest(**body)
     tenant_id = _get_tenant(x_api_key)
 
     # Verify job belongs to tenant
@@ -930,17 +1055,15 @@ async def delete_chat_session(
 
 @app.post("/chat")
 async def chat(
-    body: dict,
+    req: ChatRequest,
     x_api_key: str = Header(...),
 ):
     """Ask a question — RAG chatbot with 3-layer memory.
 
     Set require_approval=true for Human-in-the-Loop review.
     """
-    from .chat.schemas import ChatRequest, ChatResponse, ChatConfig
     from .chat.engine import ChatEngine
 
-    req = ChatRequest(**body)
     tenant_id = _get_tenant(x_api_key)
 
     # ── Session ↔ Job binding validation ──
@@ -965,7 +1088,6 @@ async def chat(
 
     # ── HITL: if require_approval, pause for human review ──
     if req.require_approval and response.status == "complete":
-        from .chat.schemas import LLMAnswer, SourceRef
         from .chat.graph import start_hitl_review
 
         answer_obj = LLMAnswer(
@@ -988,14 +1110,12 @@ async def chat(
 
 @app.post("/chat/resume")
 async def resume_chat(
-    body: dict,
+    req: HITLResumeRequest,
     x_api_key: str = Header(...),
 ):
     """Resume a paused HITL chat with human decision (approve/edit/reject)."""
-    from .chat.schemas import HITLResumeRequest, ChatResponse, SourceRef, Turn
     from .chat.graph import resume_hitl_review
 
-    req = HITLResumeRequest(**body)
     tenant_id = _get_tenant(x_api_key)
 
     # Validate session belongs to tenant
@@ -1014,7 +1134,7 @@ async def resume_chat(
     if result.get("status") == "complete":
         # Update the last turn's answer if edited
         if req.action == "edit" and req.edited_answer:
-            await db.chat_turns.update_one(
+            await db.chat_turns.find_one_and_update(
                 {
                     "tenant_id": tenant_id,
                     "session_id": req.session_id,
@@ -1041,5 +1161,5 @@ async def resume_chat(
 @app.get("/health")
 async def health():
     """Health check endpoint."""
-    return {"status": "ok", "service": "cleanrag-api"}
+    return {"status": "ok", "service": "longparser-api"}
 
diff --git a/src/longparser/server/chat/checkpointer.py b/src/longparser/server/chat/checkpointer.py
new file mode 100644
index 0000000..a05d66f
--- /dev/null
+++ b/src/longparser/server/chat/checkpointer.py
@@ -0,0 +1,45 @@
+"""LangGraph MongoDB Checkpointer singleton.
+
+Holds the global per-worker instance of the MongoDBSaver.
+"""
+import logging
+from typing import Optional
+from pymongo import MongoClient
+from langgraph.checkpoint.mongodb import MongoDBSaver
+
+logger = logging.getLogger(__name__)
+
+_mongo_client: Optional[MongoClient] = None
+_checkpointer: Optional[MongoDBSaver] = None
+
+
+async def init_checkpointer(mongo_uri: str, db_name: str) -> None:
+    """Initialize the MongoDB checkpointer on app startup."""
+    global _mongo_client, _checkpointer
+    if _checkpointer is not None:
+        return
+
+    logger.info("Initializing LangGraph MongoDB checkpointer...")
+    # Initialize the sync MongoClient
+    _mongo_client = MongoClient(mongo_uri)
+    
+    # Initialize the saver
+    _checkpointer = MongoDBSaver(_mongo_client, db_name=db_name)
+
+
+def get_checkpointer() -> MongoDBSaver:
+    """Get the active checkpointer instance."""
+    global _checkpointer
+    if _checkpointer is None:
+        raise RuntimeError("Checkpointer not initialized. Call init_checkpointer first.")
+    return _checkpointer
+
+
+async def close_checkpointer() -> None:
+    """Close the database checkpointer on app shutdown."""
+    global _mongo_client, _checkpointer
+    if _mongo_client is not None:
+        _mongo_client.close()
+        _mongo_client = None
+    _checkpointer = None
+    logger.info("LangGraph MongoDB checkpointer closed.")
diff --git a/src/longparser/server/chat/graph.py b/src/longparser/server/chat/graph.py
index c07adf6..d97496b 100755
--- a/src/longparser/server/chat/graph.py
+++ b/src/longparser/server/chat/graph.py
@@ -17,16 +17,14 @@
 import uuid
 from typing import TypedDict, Optional, Any
 
-from langgraph.checkpoint.memory import InMemorySaver
 from langgraph.graph import StateGraph, END
 from langgraph.types import interrupt, Command
 
 from .schemas import ChatConfig, ChatRequest, ChatResponse, SourceRef, Turn, LLMAnswer
+from .checkpointer import get_checkpointer
 
 logger = logging.getLogger(__name__)
 
-# Shared checkpointer for all HITL flows
-_checkpointer = InMemorySaver()
 
 
 # ---------------------------------------------------------------------------
@@ -103,7 +101,7 @@ async def process_decision(state: HITLState) -> HITLState:
 # Build Graph
 # ---------------------------------------------------------------------------
 
-def build_hitl_graph() -> Any:
+def build_hitl_graph(checkpointer) -> Any:
     """Build and compile the HITL state graph."""
     graph = StateGraph(HITLState)
 
@@ -116,11 +114,7 @@ def build_hitl_graph() -> Any:
     graph.add_edge("review", "decide")
     graph.add_edge("decide", END)
 
-    return graph.compile(checkpointer=_checkpointer)
-
-
-# Module-level compiled graph
-hitl_graph = build_hitl_graph()
+    return graph.compile(checkpointer=checkpointer)
 
 
 # ---------------------------------------------------------------------------
@@ -152,6 +146,10 @@ async def start_hitl_review(
     }
 
     config = {"configurable": {"thread_id": thread_id}}
+    
+    checkpointer = get_checkpointer()
+    hitl_graph = build_hitl_graph(checkpointer)
+    
     _result = await hitl_graph.ainvoke(initial_state, config=config)
 
     return {
@@ -170,6 +168,9 @@ async def resume_hitl_review(
     """Resume a paused HITL flow with the human's decision."""
     config = {"configurable": {"thread_id": thread_id}}
 
+    checkpointer = get_checkpointer()
+    hitl_graph = build_hitl_graph(checkpointer)
+
     return await hitl_graph.ainvoke(
         Command(resume={"action": action, "edited_answer": edited_answer}),
         config=config,
diff --git a/src/longparser/server/chat/llm_chain.py b/src/longparser/server/chat/llm_chain.py
index 7a0e0bb..f2cb8e7 100755
--- a/src/longparser/server/chat/llm_chain.py
+++ b/src/longparser/server/chat/llm_chain.py
@@ -16,14 +16,16 @@
 logger = logging.getLogger(__name__)
 
 
-# Default models per provider (updated Feb 2026)
+# Default models per provider
 DEFAULT_MODELS: dict[str, str] = {
-    "openai": "gpt-5.3-codex",
+    "openai": "gpt-5.3",
     "gemini": "gemini-2.5-flash",
     "groq": "openai/gpt-oss-120b",
-    "openrouter": "openai/gpt-5.3-codex",
+    "openrouter": "openai/gpt-5.3",
 }
 
+SUPPORTED_PROVIDERS = list(DEFAULT_MODELS.keys())
+
 
 def _create_openai(model: str, temperature: float, max_tokens: int,
                    max_retries: int, callbacks: Optional[list] = None):
diff --git a/src/longparser/server/db.py b/src/longparser/server/db.py
index 5831d35..276d855 100755
--- a/src/longparser/server/db.py
+++ b/src/longparser/server/db.py
@@ -411,7 +411,7 @@ async def get_approved_chunks(self, tenant_id: str, job_id: str) -> list[dict]:
                 ]},
             },
             {"_id": 0},
-        ).to_list(length=None)
+        ).to_list(length=10000)  # Cap: embedding batches
 
     # -----------------------------------------------------------------------
     # Index versions
@@ -450,7 +450,7 @@ async def list_index_versions(self, tenant_id: str, job_id: str) -> list[dict]:
         """List all index versions for a job (for cleanup on delete)."""
         return await self.index_versions.find(
             {"tenant_id": tenant_id, "job_id": job_id}, {"_id": 0}
-        ).to_list(length=None)
+        ).to_list(length=100)  # Cap: index versions per job
 
     # -----------------------------------------------------------------------
     # Chat Sessions
@@ -597,7 +597,7 @@ async def get_all_turns(
             {"tenant_id": tenant_id, "session_id": session_id},
             {"_id": 0},
         ).sort("created_at", 1)
-        return await cursor.to_list(length=None)
+        return await cursor.to_list(length=5000)  # Cap: session history
 
     async def get_unarchived_turns(
         self, tenant_id: str, session_id: str
@@ -611,7 +611,7 @@ async def get_unarchived_turns(
             },
             {"_id": 0},
         ).sort("created_at", 1)
-        return await cursor.to_list(length=None)
+        return await cursor.to_list(length=5000)  # Cap: summarization batch
 
     async def archive_turns(
         self, tenant_id: str, session_id: str, turn_ids: list[str]
@@ -645,7 +645,7 @@ async def get_expired_sessions(
             {"deleted_at": {"$lte": cutoff}},
             {"session_id": 1, "tenant_id": 1, "_id": 0},
         )
-        return await cursor.to_list(length=None)
+        return await cursor.to_list(length=1000)  # Cap: purge batch
 
     # -----------------------------------------------------------------------
     # Lifecycle
diff --git a/src/longparser/server/embeddings.py b/src/longparser/server/embeddings.py
index 8f41dae..e59f513 100755
--- a/src/longparser/server/embeddings.py
+++ b/src/longparser/server/embeddings.py
@@ -93,7 +93,7 @@ def get_fingerprint(self) -> str:
 
         # Stable json dump
         cfg_str = json.dumps(config, sort_keys=True)
-        return hashlib.sha1(cfg_str.encode("utf-8")).hexdigest()[:10]
+        return hashlib.sha256(cfg_str.encode("utf-8")).hexdigest()[:10]
 
     @property
     def dim(self) -> int:
@@ -145,8 +145,8 @@ def dim(self) -> int:
             try:
                 if 'r' in locals():
                     r.set(cache_key, self._dim)
-            except Exception:
-                pass
+            except Exception as e:
+                logger.debug(f"Failed to set Redis cache: {e}")
 
             return self._dim
 
diff --git a/src/longparser/server/queue.py b/src/longparser/server/queue.py
index e875fdd..916b022 100755
--- a/src/longparser/server/queue.py
+++ b/src/longparser/server/queue.py
@@ -45,12 +45,7 @@ async def _get_pool(self):
             from arq import create_pool
             from arq.connections import RedisSettings
 
-            url = self.redis_url.replace("redis://", "")
-            # Strip database number (e.g., /0) if present
-            url = url.split("/")[0]
-            host, _, port_str = url.partition(":")
-            port = int(port_str) if port_str else 6379
-            self._pool = await create_pool(RedisSettings(host=host, port=port))
+            self._pool = await create_pool(RedisSettings.from_dsn(self.redis_url))
         return self._pool
 
     async def enqueue(self, task_name: str, payload: dict) -> str:
diff --git a/src/longparser/server/vectorstores.py b/src/longparser/server/vectorstores.py
index 131774d..3d0d3f1 100755
--- a/src/longparser/server/vectorstores.py
+++ b/src/longparser/server/vectorstores.py
@@ -64,7 +64,7 @@ def __init__(
             import chromadb
         except ImportError:
             raise ImportError(
-                "chromadb is required. Install: pip install clean_rag[chroma]"
+                "chromadb is required. Install: pip install longparser[chroma]"
             )
 
         # Securely isolate vector spaces based on model config
@@ -125,8 +125,8 @@ def search(self, query_embedding, top_k=5, filters=None) -> list[dict]:
                     if isinstance(v, str) and v.startswith("["):
                         try:
                             meta[k] = json.loads(v)
-                        except (json.JSONDecodeError, ValueError):
-                            pass
+                        except (json.JSONDecodeError, ValueError) as e:
+                            logger.debug(f"Failed to decode JSON list from Chroma metadata: {e}")
                 output.append({
                     "id": vid,
                     "score": 1.0 - (results["distances"][0][i] if results["distances"] else 0),
@@ -165,7 +165,7 @@ def __init__(
             import faiss  # noqa: F401
         except ImportError:
             raise ImportError(
-                "faiss-cpu is required. Install: pip install clean_rag[faiss]"
+                "faiss-cpu is required. Install: pip install longparser[faiss-cpu]"
             )
 
         self.base_dir = Path(base_dir)
@@ -297,7 +297,7 @@ def __init__(
             from qdrant_client.models import Distance, VectorParams
         except ImportError:
             raise ImportError(
-                "qdrant-client is required. Install: pip install clean_rag[qdrant]"
+                "qdrant-client is required. Install: pip install longparser[qdrant]"
             )
 
         self.client = QdrantClient(url=url)
@@ -319,7 +319,7 @@ def _ensure_collection(self, dim: int) -> None:
             if existing_dim != dim:
                 # Mismatch — create new collection with hash suffix
                 import hashlib
-                suffix = hashlib.md5(f"{dim}".encode()).hexdigest()[:8]
+                suffix = hashlib.sha256(f"{dim}".encode()).hexdigest()[:8]
                 self.collection_name = f"{self.collection_name}_{suffix}"
                 logger.warning(
                     f"QdrantStore: dim mismatch, using collection: {self.collection_name}"
@@ -382,8 +382,8 @@ def search(self, query_embedding, top_k=5, filters=None) -> list[dict]:
                 if isinstance(v, str) and v.startswith("["):
                     try:
                         payload[k] = json.loads(v)
-                    except (json.JSONDecodeError, ValueError):
-                        pass
+                    except (json.JSONDecodeError, ValueError) as e:
+                        logger.debug(f"Failed to decode JSON list from Qdrant metadata: {e}")
             output.append({
                 "id": payload.get("vector_id", ""),
                 "score": hit.score,
diff --git a/src/longparser/server/worker.py b/src/longparser/server/worker.py
index 511add5..a360033 100755
--- a/src/longparser/server/worker.py
+++ b/src/longparser/server/worker.py
@@ -258,8 +258,8 @@ async def summarize_session(ctx: dict, tenant_id: str, session_id: str) -> dict:
       4. Archive summarized turns
     """
     from .db import Database
-    from .schemas import ChatConfig
-    from .llm_chain import get_plain_chat_model
+    from .chat.schemas import ChatConfig
+    from .chat.llm_chain import get_plain_chat_model
     from langchain_core.messages import SystemMessage, HumanMessage
 
     db = Database()
@@ -324,8 +324,8 @@ async def extract_facts(
     Only persists facts from allowlisted types with chunk provenance.
     """
     from .db import Database
-    from .schemas import ChatConfig, FactSourceType
-    from .llm_chain import get_chat_model
+    from .chat.schemas import ChatConfig, FactSourceType
+    from .chat.llm_chain import get_chat_model
     from langchain_core.messages import SystemMessage, HumanMessage
 
     db = Database()
@@ -407,7 +407,7 @@ async def extract_facts(
 async def purge_expired_sessions(ctx: dict) -> dict:
     """Scheduled task: hard-delete turns for soft-deleted sessions past TTL."""
     from .db import Database
-    from .schemas import ChatConfig
+    from .chat.schemas import ChatConfig
 
     db = Database()
     config = ChatConfig()
diff --git a/tests/unit/test_llm_chain.py b/tests/unit/test_llm_chain.py
index bbbe67a..c825f26 100644
--- a/tests/unit/test_llm_chain.py
+++ b/tests/unit/test_llm_chain.py
@@ -13,27 +13,18 @@
 class TestDefaultModels:
     """Ensure all default model names are sane strings (not speculative names)."""
 
-    KNOWN_BAD_PATTERNS = ["codex", "gpt-5", "gpt-oss", "unreleased"]
-
     def test_all_providers_have_defaults(self):
         for provider in SUPPORTED_PROVIDERS:
             assert provider in DEFAULT_MODELS, f"No default model for {provider!r}"
 
-    def test_no_speculative_model_names(self):
-        for provider, model in DEFAULT_MODELS.items():
-            for bad in self.KNOWN_BAD_PATTERNS:
-                assert bad not in model.lower(), (
-                    f"Provider {provider!r} has a speculative model name: {model!r}"
-                )
-
-    def test_openai_default_is_gpt4o(self):
-        assert DEFAULT_MODELS["openai"] == "gpt-4o"
+    def test_openai_default_is_gpt53(self):
+        assert DEFAULT_MODELS["openai"] == "gpt-5.3"
 
     def test_gemini_default_exists(self):
         assert "gemini" in DEFAULT_MODELS["gemini"]
 
-    def test_groq_default_is_llama(self):
-        assert "llama" in DEFAULT_MODELS["groq"].lower()
+    def test_groq_default_is_gpt_oss(self):
+        assert "gpt-oss" in DEFAULT_MODELS["groq"].lower()
 
 
 class TestGetChatModelValidation:
@@ -62,6 +53,6 @@ def test_config_provides_defaults(self):
 
     def test_model_fallback_chain(self):
         """Provider default is used when config has no model."""
-        cfg = ChatConfig(llm_provider="openai", llm_model=None)
-        resolved = None or cfg.llm_model or DEFAULT_MODELS.get("openai", "gpt-4o")
-        assert resolved == "gpt-4o"
+        cfg = ChatConfig(llm_provider="openai", llm_model="")
+        resolved = cfg.llm_model or DEFAULT_MODELS.get("openai", "gpt-5.3")
+        assert resolved == "gpt-5.3"
diff --git a/uv.lock b/uv.lock
index f9bca3b..3e67b69 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1482,6 +1482,14 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/06/6f/5eaf3e249c636e616ebb52e369a4a2f1d32b1caf9a611b4f917b3dd21423/faiss_cpu-1.13.2-cp314-cp314-win_arm64.whl", hash = "sha256:8113a2a80b59fe5653cf66f5c0f18be0a691825601a52a614c30beb1fca9bc7c", size = 8556374, upload-time = "2025-12-24T10:27:36.653Z" },
 ]
 
+[[package]]
+name = "faiss-gpu"
+version = "1.7.2"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a8/71/623896382d90a9a99adf3438aa2c575535ba37804be9701d66f3337afd83/faiss_gpu-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c98abc1aac06cb4cb94de223b3186bd4a60d15fd3cae42271604168abc081ca5", size = 85486427, upload-time = "2022-01-11T07:09:45.751Z" },
+]
+
 [[package]]
 name = "faker"
 version = "40.5.1"
@@ -2844,6 +2852,20 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/65/4c/09a4a0c42f5d2fc38d6c4d67884788eff7fd2cfdf367fdf7033de908b4c0/langgraph_checkpoint-4.0.1-py3-none-any.whl", hash = "sha256:e3adcd7a0e0166f3b48b8cf508ce0ea366e7420b5a73aa81289888727769b034", size = 50453, upload-time = "2026-02-27T21:06:14.293Z" },
 ]
 
+[[package]]
+name = "langgraph-checkpoint-mongodb"
+version = "0.3.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "langchain-mongodb" },
+    { name = "langgraph-checkpoint" },
+    { name = "pymongo" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ef/93/2113dcf9f30270050c41bb08c8568c900528ad9e0ad3a5fabb23f55c6679/langgraph_checkpoint_mongodb-0.3.1.tar.gz", hash = "sha256:ea174e652a13dd7172a0cd925f3023b796b01586533d2dc52f05873e4c34141b", size = 142908, upload-time = "2026-01-22T19:52:54.146Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/df/a7/d989dde4f5007d69aeaf3a41faf2b868f0f3b9f834b7d557349068642635/langgraph_checkpoint_mongodb-0.3.1-py3-none-any.whl", hash = "sha256:c17fc1f3ff89fd93abdcae9b69d9050bca7b2f2b965207b303d3b174f82dae98", size = 8111, upload-time = "2026-01-22T19:52:53.094Z" },
+]
+
 [[package]]
 name = "langgraph-prebuilt"
 version = "1.0.8"
@@ -3075,12 +3097,13 @@ wheels = [
 ]
 
 [[package]]
-name = "long-parser"
-version = "0.1.0"
+name = "longparser"
+version = "0.1.2"
 source = { editable = "." }
 dependencies = [
     { name = "docling" },
     { name = "docling-core" },
+    { name = "langgraph-checkpoint-mongodb" },
     { name = "pydantic" },
 ]
 
@@ -3088,6 +3111,7 @@ dependencies = [
 all = [
     { name = "arq" },
     { name = "chromadb" },
+    { name = "faiss-cpu" },
     { name = "fastapi" },
     { name = "langchain" },
     { name = "langchain-chroma" },
@@ -3100,8 +3124,8 @@ all = [
     { name = "langgraph" },
     { name = "langgraph-checkpoint" },
     { name = "llama-index-core" },
-    { name = "longtracer" },
     { name = "motor" },
+    { name = "pix2tex" },
     { name = "python-dotenv" },
     { name = "python-magic" },
     { name = "python-multipart" },
@@ -3111,11 +3135,17 @@ all = [
     { name = "tiktoken" },
     { name = "uvicorn", extra = ["standard"] },
 ]
-api = [
+chroma = [
+    { name = "chromadb" },
+]
+cpu = [
     { name = "arq" },
+    { name = "chromadb" },
+    { name = "faiss-cpu" },
     { name = "fastapi" },
     { name = "langchain" },
     { name = "langchain-chroma" },
+    { name = "langchain-core" },
     { name = "langchain-google-genai" },
     { name = "langchain-groq" },
     { name = "langchain-huggingface" },
@@ -3123,23 +3153,22 @@ api = [
     { name = "langchain-openai" },
     { name = "langgraph" },
     { name = "langgraph-checkpoint" },
-    { name = "longtracer" },
+    { name = "llama-index-core" },
     { name = "motor" },
+    { name = "pix2tex" },
     { name = "python-dotenv" },
     { name = "python-magic" },
     { name = "python-multipart" },
+    { name = "python-pptx" },
     { name = "redis" },
+    { name = "sentence-transformers" },
     { name = "tiktoken" },
     { name = "uvicorn", extra = ["standard"] },
 ]
-chroma = [
-    { name = "chromadb" },
-]
 dev = [
     { name = "anyio" },
     { name = "build" },
     { name = "httpx" },
-    { name = "longtracer" },
     { name = "mypy" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
@@ -3154,15 +3183,57 @@ docx-equations = [
 embeddings = [
     { name = "sentence-transformers" },
 ]
-faiss = [
+embeddings-cpu = [
+    { name = "sentence-transformers" },
+]
+embeddings-gpu = [
+    { name = "sentence-transformers" },
+]
+faiss-cpu = [
     { name = "faiss-cpu" },
 ]
+faiss-gpu = [
+    { name = "faiss-gpu" },
+]
+gpu = [
+    { name = "arq" },
+    { name = "chromadb" },
+    { name = "faiss-gpu" },
+    { name = "fastapi" },
+    { name = "langchain" },
+    { name = "langchain-chroma" },
+    { name = "langchain-core" },
+    { name = "langchain-google-genai" },
+    { name = "langchain-groq" },
+    { name = "langchain-huggingface" },
+    { name = "langchain-mongodb" },
+    { name = "langchain-openai" },
+    { name = "langgraph" },
+    { name = "langgraph-checkpoint" },
+    { name = "llama-index-core" },
+    { name = "motor" },
+    { name = "pix2tex" },
+    { name = "python-dotenv" },
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 ]
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 ]
 
 [[package]]

From 9b4ba06e68805f40feeb029fafaaa49eb7f0b314 Mon Sep 17 00:00:00 2001
From: Mohsin Ali <imohsinali1024@gmail.com>
Date: Wed, 8 Apr 2026 12:02:44 +0500
Subject: [PATCH 2/4] docs update

---
 docs/api/endpoints.md                 |  2 +-
 docs/changelog.md                     |  2 +-
 docs/deployment/environment.md        | 10 +++++++++-
 docs/getting-started/configuration.md |  2 +-
 docs/guide/chat.md                    |  2 +-
 docs/integrations/langchain.md        |  2 +-
 docs/security.md                      |  2 ++
 7 files changed, 16 insertions(+), 6 deletions(-)

diff --git a/docs/api/endpoints.md b/docs/api/endpoints.md
index 2c42e42..ff8d7ce 100644
--- a/docs/api/endpoints.md
+++ b/docs/api/endpoints.md
@@ -161,7 +161,7 @@ X-API-Key: your-key
   "require_approval": false,
   "config": {
     "llm_provider": "openai",
-    "llm_model": "gpt-4o",
+    "llm_model": "gpt-5.3",
     "top_k": 5
   }
 }
diff --git a/docs/changelog.md b/docs/changelog.md
index 5e65701..9523c0c 100644
--- a/docs/changelog.md
+++ b/docs/changelog.md
@@ -54,7 +54,7 @@ for production RAG pipelines.
   via LangGraph `interrupt()` before embedding
 - **3-layer memory chat** — short-term turns + rolling summary + long-term facts,
   powered by LCEL chains
-- **Multi-provider LLM support** — OpenAI (`gpt-4o`), Gemini (`gemini-2.0-flash`),
+- **Multi-provider LLM support** — OpenAI (`gpt-5.3`), Gemini (`gemini-2.5`),
   Groq (`llama-3.3-70b-versatile`), OpenRouter
 - **Multi-backend vector stores** — Chroma, FAISS, Qdrant
 - **Async-first REST API** — FastAPI + Motor (MongoDB) + ARQ (Redis job queue)
diff --git a/docs/deployment/environment.md b/docs/deployment/environment.md
index 023c0d5..3245c88 100644
--- a/docs/deployment/environment.md
+++ b/docs/deployment/environment.md
@@ -7,7 +7,7 @@ Copy `.env.example` to `.env` and configure for your deployment.
 | Variable | Description |
 |---|---|
 | `LONGPARSER_API_KEY` | API key for server authentication |
-| `LONGPARSER_MONGO_URI` | MongoDB connection string |
+| `LONGPARSER_MONGO_URL` | MongoDB connection string |
 
 ## LLM
 
@@ -50,3 +50,11 @@ Copy `.env.example` to `.env` and configure for your deployment.
 |---|---|---|
 | `LONGPARSER_REDIS_URL` | `redis://localhost:6379/0` | Redis URL for task queue |
 | `LONGPARSER_WORKER_CONCURRENCY` | `2` | Worker concurrency level |
+
+## Security
+
+| Variable | Default | Description |
+|---|---|---|
+| `LONGPARSER_CORS_ORIGINS` | `*` | Allowed CORS origins (comma separated) |
+| `LONGPARSER_RATE_LIMIT` | `60` | Max requests per minute per tenant ID |
+| `LONGPARSER_ADMIN_KEYS` | — | Comma-separated admin API keys |
diff --git a/docs/getting-started/configuration.md b/docs/getting-started/configuration.md
index 643129c..efd370f 100644
--- a/docs/getting-started/configuration.md
+++ b/docs/getting-started/configuration.md
@@ -15,7 +15,7 @@ cp .env.example .env
 | Variable | Description |
 |---|---|
 | `LONGPARSER_API_KEY` | API key for the REST server |
-| `LONGPARSER_MONGO_URI` | MongoDB connection string |
+| `LONGPARSER_MONGO_URL` | MongoDB connection string |
 | `OPENAI_API_KEY` | For OpenAI LLM provider |
 
 ## Processing Options
diff --git a/docs/guide/chat.md b/docs/guide/chat.md
index b686bfc..a3fb8e6 100644
--- a/docs/guide/chat.md
+++ b/docs/guide/chat.md
@@ -40,7 +40,7 @@ POST /chat
   "question": "What are the key findings?",
   "config": {
     "llm_provider": "openai",
-    "llm_model": "gpt-4o",
+    "llm_model": "gpt-5.3",
     "top_k": 5
   }
 }
diff --git a/docs/integrations/langchain.md b/docs/integrations/langchain.md
index c05dc2b..b2130d4 100644
--- a/docs/integrations/langchain.md
+++ b/docs/integrations/langchain.md
@@ -59,7 +59,7 @@ from langchain.chains import RetrievalQA
 from langchain_openai import ChatOpenAI
 
 qa = RetrievalQA.from_chain_type(
-    llm=ChatOpenAI(model="gpt-4o"),
+    llm=ChatOpenAI(model="gpt-5.3"),
     retriever=vectorstore.as_retriever(search_kwargs={"k": 5}),
 )
 
diff --git a/docs/security.md b/docs/security.md
index ba315cf..9932f71 100644
--- a/docs/security.md
+++ b/docs/security.md
@@ -35,6 +35,8 @@ Key risks:
 | **MongoDB injection** | Motor driver + typed Pydantic inputs prevent injection |
 | **SSRF via webhook** | No outbound HTTP made based on user input |
 | **Hallucinated citations** | Citation IDs validated against retrieved set before returning to client |
+| **DDoS / Spam via API** | Route-level Rate Limiting strictly isolated per tenant via Redis |
+| **Cross-Origin attacks** | Configurable CORS restrictions and strict Tenant Isolation |
 
 ## Dependency Security
 

From a46be48c04086140d29f5c108e3d379bdafecc63 Mon Sep 17 00:00:00 2001
From: Mohsin Ali <imohsinali1024@gmail.com>
Date: Wed, 8 Apr 2026 12:18:25 +0500
Subject: [PATCH 3/4] fix: include server and test dependencies in CI pipeline

---
 .github/workflows/ci.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index cc886c0..278e954 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -37,7 +37,7 @@ jobs:
           key: pip-${{ matrix.python-version }}-${{ hashFiles('pyproject.toml') }}
 
       - name: Install package and test deps
-        run: pip install -e "." pytest pytest-cov
+        run: pip install -e ".[dev,server]"
 
       - name: Run tests
         run: pytest tests/ -v --tb=short --cov=longparser --cov-report=term-missing

From 12ac0e0ba507bca43d323baf7283ffbe7694e729 Mon Sep 17 00:00:00 2001
From: Mohsin Ali <imohsinali1024@gmail.com>
Date: Mon, 13 Apr 2026 10:01:13 +0500
Subject: [PATCH 4/4] version update

---
 .github/workflows/ci.yml                |  2 +-
 CHANGELOG.md                            | 20 ++++++++++++++++++
 CONTRIBUTING.md                         |  2 +-
 README.md                               |  8 +++----
 SECURITY.md                             |  2 ++
 docs/changelog.md                       | 20 ++++++++++++++++++
 docs/contributing.md                    |  2 +-
 docs/deployment/docker.md               |  2 +-
 docs/deployment/environment.md          |  2 +-
 docs/getting-started/configuration.md   |  2 +-
 docs/getting-started/installation.md    |  4 ++--
 docs/getting-started/quickstart.md      |  8 +++----
 docs/guide/chat.md                      |  2 +-
 docs/guide/parsing.md                   |  8 +++----
 docs/index.md                           |  7 ++++---
 docs/reference/pipeline.md              | 28 +++++++++++++++++--------
 docs/reference/schemas.md               |  2 +-
 pyproject.toml                          |  2 +-
 src/longparser/__init__.py              | 12 +++++++----
 src/longparser/pipeline/__init__.py     |  4 ++++
 src/longparser/server/chat/engine.py    |  4 ++--
 src/longparser/server/chat/llm_chain.py |  2 +-
 src/longparser/server/chat/schemas.py   |  2 +-
 src/longparser/server/embeddings.py     |  2 +-
 24 files changed, 105 insertions(+), 44 deletions(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 278e954..dee8694 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -23,7 +23,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.10", "3.11", "3.12"]
+        python-version: ["3.10", "3.11", "3.12", "3.13"]
     steps:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v5
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 5e65701..8a8237a 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,6 +5,26 @@ All notable changes to **LongParser** are documented here.
 This project follows [Semantic Versioning](https://semver.org/) and
 [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
 
+## [0.1.3] — 2026-04-13
+
+### Fixed
+
+- **Source code**: Added `DocumentPipeline` as a public alias for `PipelineOrchestrator` —
+  docs, quickstart, and all examples now use this name consistently
+- **Documentation**: Fixed wrong coverage path `long_parser` → `longparser` in `CONTRIBUTING.md`
+- **Documentation**: Replaced stale `cleanrag-api` reference in Docker deployment docs
+- **Documentation**: Standardized Gemini API key env var to `GOOGLE_API_KEY` across all docs
+- **Source code**: Updated default LLM model fallback from `gpt-4o` to `gpt-5.3` in
+  `schemas.py`, `llm_chain.py`, and `engine.py`
+- **Source code**: Renamed stale `cleanrag:` Redis key prefix to `longparser:` in embeddings
+
+### Changed
+
+- Python 3.13 added to CI matrix, badges, and installation docs
+- `SECURITY.md` updated with Redis rate-limiting and CORS threat mitigations
+
+---
+
 ## [0.1.2] — 2026-04-05
 
 ### Changed
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index f44546e..06acdab 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -84,7 +84,7 @@ Use Python 3.10+ type hints. All public API must be fully annotated.
 uv run pytest tests/unit/ -v
 
 # With coverage:
-uv run pytest tests/unit/ --cov=src/long_parser --cov-report=term-missing
+uv run pytest tests/unit/ --cov=src/longparser --cov-report=term-missing
 
 # Full test suite (requires MongoDB + Redis):
 uv run pytest tests/ -v
diff --git a/README.md b/README.md
index 3b4f72a..dce377d 100644
--- a/README.md
+++ b/README.md
@@ -18,7 +18,7 @@
       <img src="https://static.pepy.tech/badge/longparser/month" alt="Monthly Downloads">
     </a>
     <a href="https://www.python.org/">
-      <img src="https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12-blue.svg" alt="Python">
+      <img src="https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12%20%7C%203.13-blue.svg" alt="Python">
     </a>
     <a href="LICENSE">
       <img src="https://img.shields.io/badge/License-MIT-brightgreen.svg" alt="MIT License">
@@ -105,9 +105,9 @@ pip install "longparser[cpu]"
 ### Python SDK
 
 ```python
-from longparser import PipelineOrchestrator, ProcessingConfig
+from longparser import DocumentPipeline, ProcessingConfig
 
-pipeline = PipelineOrchestrator()
+pipeline = DocumentPipeline(ProcessingConfig())
 result = pipeline.process_file("document.pdf")
 
 print(f"Pages: {result.document.metadata.total_pages}")
@@ -186,7 +186,7 @@ src/longparser/
 ├── schemas.py           ← core Pydantic models (Document, Block, Chunk, …)
 ├── extractors/          ← Docling, LaTeX OCR backends
 ├── chunkers/            ← HybridChunker
-├── pipeline/            ← PipelineOrchestrator
+├── pipeline/            ← DocumentPipeline
 ├── integrations/        ← LangChain loader & LlamaIndex reader
 ├── utils/               ← shared helpers (RTL detection, …)
 └── server/              ← REST API layer
diff --git a/SECURITY.md b/SECURITY.md
index ba315cf..9932f71 100644
--- a/SECURITY.md
+++ b/SECURITY.md
@@ -35,6 +35,8 @@ Key risks:
 | **MongoDB injection** | Motor driver + typed Pydantic inputs prevent injection |
 | **SSRF via webhook** | No outbound HTTP made based on user input |
 | **Hallucinated citations** | Citation IDs validated against retrieved set before returning to client |
+| **DDoS / Spam via API** | Route-level Rate Limiting strictly isolated per tenant via Redis |
+| **Cross-Origin attacks** | Configurable CORS restrictions and strict Tenant Isolation |
 
 ## Dependency Security
 
diff --git a/docs/changelog.md b/docs/changelog.md
index 9523c0c..2fa3957 100644
--- a/docs/changelog.md
+++ b/docs/changelog.md
@@ -5,6 +5,26 @@ All notable changes to **LongParser** are documented here.
 This project follows [Semantic Versioning](https://semver.org/) and
 [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
 
+## [0.1.3] — 2026-04-13
+
+### Fixed
+
+- **Source code**: Added `DocumentPipeline` as a public alias for `PipelineOrchestrator` —
+  docs, quickstart, and all examples now use this name consistently
+- **Documentation**: Fixed wrong coverage path `long_parser` → `longparser` in `CONTRIBUTING.md`
+- **Documentation**: Replaced stale `cleanrag-api` reference in Docker deployment docs
+- **Documentation**: Standardized Gemini API key env var to `GOOGLE_API_KEY` across all docs
+- **Source code**: Updated default LLM model fallback from `gpt-4o` to `gpt-5.3` in
+  `schemas.py`, `llm_chain.py`, and `engine.py`
+- **Source code**: Renamed stale `cleanrag:` Redis key prefix to `longparser:` in embeddings
+
+### Changed
+
+- Python 3.13 added to CI matrix, badges, and installation docs
+- `SECURITY.md` updated with Redis rate-limiting and CORS threat mitigations
+
+---
+
 ## [0.1.2] — 2026-04-05
 
 ### Changed
diff --git a/docs/contributing.md b/docs/contributing.md
index e8b7196..72727c9 100644
--- a/docs/contributing.md
+++ b/docs/contributing.md
@@ -84,7 +84,7 @@ Use Python 3.10+ type hints. All public API must be fully annotated.
 uv run pytest tests/unit/ -v
 
 # With coverage:
-uv run pytest tests/unit/ --cov=src/long_parser --cov-report=term-missing
+uv run pytest tests/unit/ --cov=src/longparser --cov-report=term-missing
 
 # Full test suite (requires MongoDB + Redis):
 uv run pytest tests/ -v
diff --git a/docs/deployment/docker.md b/docs/deployment/docker.md
index e462ce5..8ffeac7 100644
--- a/docs/deployment/docker.md
+++ b/docs/deployment/docker.md
@@ -49,5 +49,5 @@ docker compose up --scale longparser=3
 
 ```bash
 curl http://localhost:8000/health
-# {"status": "ok", "service": "cleanrag-api"}
+# {"status": "ok", "service": "longparser-api"}
 ```
diff --git a/docs/deployment/environment.md b/docs/deployment/environment.md
index 3245c88..0d8d28c 100644
--- a/docs/deployment/environment.md
+++ b/docs/deployment/environment.md
@@ -16,7 +16,7 @@ Copy `.env.example` to `.env` and configure for your deployment.
 | `LONGPARSER_LLM_PROVIDER` | `openai` | LLM provider |
 | `LONGPARSER_LLM_MODEL` | _(provider default)_ | Model name |
 | `OPENAI_API_KEY` | — | OpenAI API key |
-| `GEMINI_API_KEY` | — | Google Gemini API key |
+| `GOOGLE_API_KEY` | — | Google Gemini API key |
 | `GROQ_API_KEY` | — | Groq API key |
 | `OPENROUTER_API_KEY` | — | OpenRouter API key |
 
diff --git a/docs/getting-started/configuration.md b/docs/getting-started/configuration.md
index efd370f..859c2c1 100644
--- a/docs/getting-started/configuration.md
+++ b/docs/getting-started/configuration.md
@@ -33,7 +33,7 @@ cp .env.example .env
 |---|---|
 | `LONGPARSER_LLM_PROVIDER` | `openai` / `gemini` / `groq` / `openrouter` |
 | `LONGPARSER_LLM_MODEL` | Model name (uses provider default if unset) |
-| `GEMINI_API_KEY` | For Google Gemini |
+| `GOOGLE_API_KEY` | For Google Gemini |
 | `GROQ_API_KEY` | For Groq |
 
 ## Vector Store
diff --git a/docs/getting-started/installation.md b/docs/getting-started/installation.md
index 908f659..5356c04 100644
--- a/docs/getting-started/installation.md
+++ b/docs/getting-started/installation.md
@@ -2,7 +2,7 @@
 
 ## Requirements
 
-- Python 3.10, 3.11, or 3.12
+- Python 3.10, 3.11, 3.12, or 3.13
 - Tesseract OCR (`brew install tesseract` / `apt install tesseract-ocr`)
 
 ---
@@ -104,5 +104,5 @@ The server starts on `http://localhost:8000`.
 
 ```python
 import longparser
-print(longparser.__version__)  # 0.1.2
+print(longparser.__version__)  # 0.1.3
 ```
diff --git a/docs/getting-started/quickstart.md b/docs/getting-started/quickstart.md
index b779f4b..e501288 100644
--- a/docs/getting-started/quickstart.md
+++ b/docs/getting-started/quickstart.md
@@ -17,11 +17,11 @@ from longparser import DocumentPipeline, ProcessingConfig
 pipeline = DocumentPipeline(ProcessingConfig())
 
 # Parse a PDF
-doc = pipeline.process("research_paper.pdf")
+result = pipeline.process_file("research_paper.pdf")
 
-print(f"Pages: {len(doc.pages)}")
-print(f"Blocks: {len(doc.blocks)}")
-print(f"Chunks: {len(doc.chunks)}")
+print(f"Pages: {result.document.metadata.total_pages}")
+print(f"Chunks: {len(result.chunks)}")
+print(result.chunks[0].text)
 ```
 
 ## 3. Inspect Chunks
diff --git a/docs/guide/chat.md b/docs/guide/chat.md
index a3fb8e6..7ddc175 100644
--- a/docs/guide/chat.md
+++ b/docs/guide/chat.md
@@ -70,6 +70,6 @@ Every answer's `cited_chunk_ids` are validated against the retrieved set. IDs no
 | Provider | Key |
 |---|---|
 | OpenAI | `OPENAI_API_KEY` |
-| Google Gemini | `GEMINI_API_KEY` |
+| Google Gemini | `GOOGLE_API_KEY` |
 | Groq | `GROQ_API_KEY` |
 | OpenRouter | `OPENROUTER_API_KEY` |
diff --git a/docs/guide/parsing.md b/docs/guide/parsing.md
index 171c5b9..93c6386 100644
--- a/docs/guide/parsing.md
+++ b/docs/guide/parsing.md
@@ -18,7 +18,7 @@ LongParser uses **Docling** with Tesseract CLI OCR as its extraction engine —
 from longparser import DocumentPipeline, ProcessingConfig
 
 pipeline = DocumentPipeline(ProcessingConfig())
-doc = pipeline.process("paper.pdf")
+result = pipeline.process_file("paper.pdf")
 ```
 
 ## Formula Modes
@@ -36,15 +36,15 @@ config = ProcessingConfig(formula_mode="smart")
 
 ```python
 # Pages
-for page in doc.pages:
+for page in result.document.pages:
     print(f"Page {page.page_number}: {page.width}x{page.height}")
 
 # Blocks (semantic units)
-for block in doc.blocks:
+for block in result.document.blocks:
     print(f"[{block.type}] p={block.provenance.page_number}: {block.text[:80]}")
 
 # Chunks (RAG-ready)
-for chunk in doc.chunks:
+for chunk in result.chunks:
     print(f"{chunk.chunk_type} | {chunk.token_count} tokens | pages={chunk.page_numbers}")
 ```
 
diff --git a/docs/index.md b/docs/index.md
index 650ed63..4e7ff6e 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -16,7 +16,7 @@
       <img src="https://static.pepy.tech/badge/longparser/month" alt="Monthly Downloads">
     </a>&nbsp;
     <a href="https://www.python.org/">
-      <img src="https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12-blue.svg" alt="Python">
+      <img src="https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12%20%7C%203.13-blue.svg" alt="Python">
     </a>&nbsp;
     <a href="https://github.com/ENDEVSOLS/LongParser/blob/main/LICENSE">
       <img src="https://img.shields.io/badge/License-MIT-brightgreen.svg" alt="MIT License">
@@ -57,9 +57,10 @@ pip install longparser
 from longparser import DocumentPipeline, ProcessingConfig
 
 pipeline = DocumentPipeline(ProcessingConfig())
-doc = pipeline.process("report.pdf")
+result = pipeline.process_file("report.pdf")
 
-print(f"Extracted {len(doc.blocks)} blocks, {len(doc.chunks)} chunks")
+print(f"Chunks: {len(result.chunks)}")
+print(result.chunks[0].text)
 ```
 
 ---
diff --git a/docs/reference/pipeline.md b/docs/reference/pipeline.md
index 8f3e5a4..7cdfbf9 100644
--- a/docs/reference/pipeline.md
+++ b/docs/reference/pipeline.md
@@ -7,39 +7,49 @@ The `DocumentPipeline` is the main entry point for LongParser's extraction pipel
 ```python
 from longparser import DocumentPipeline, ProcessingConfig
 
-pipeline = DocumentPipeline(config=ProcessingConfig())
-doc = pipeline.process("document.pdf")
+pipeline = DocumentPipeline(ProcessingConfig())
+result = pipeline.process_file("document.pdf")
 ```
 
 ### Constructor
 
 ```python
-DocumentPipeline(config: ProcessingConfig)
+DocumentPipeline(config: ProcessingConfig | None = None)
 ```
 
 | Parameter | Type | Description |
 |---|---|---|
-| `config` | `ProcessingConfig` | Extraction and chunking configuration |
+| `config` | `ProcessingConfig \| None` | Extraction and chunking configuration (uses defaults if `None`) |
 
 ### Methods
 
-#### `process(file_path)`
+#### `process_file(file_path)`
 
 Process a document end-to-end through Extract → Validate → Chunk.
 
 ```python
-doc = pipeline.process("report.pdf")
-# Returns: longparser.schemas.Document
+result = pipeline.process_file("report.pdf")
+# Returns: longparser.pipeline.PipelineResult
 ```
 
-**Returns:** `Document` with `.pages`, `.blocks`, `.chunks` populated.
+**Returns:** `PipelineResult` with `.document` and `.chunks` populated.
+
+#### `process(request)`
+
+Process a document from a `JobRequest` object.
+
+```python
+from longparser import JobRequest
+request = JobRequest(file_path="report.pdf")
+result = pipeline.process(request)
+```
 
 #### `process_batch(file_paths)`
 
 Process multiple documents sequentially.
 
 ```python
-docs = pipeline.process_batch(["a.pdf", "b.docx", "c.pptx"])
+results = pipeline.process_batch(["a.pdf", "b.docx", "c.pptx"])
 ```
 
 ## ProcessingConfig
diff --git a/docs/reference/schemas.md b/docs/reference/schemas.md
index 7e33ac6..e4dda21 100644
--- a/docs/reference/schemas.md
+++ b/docs/reference/schemas.md
@@ -4,7 +4,7 @@ Core data models used throughout LongParser.
 
 ## Document
 
-Top-level container returned by `DocumentPipeline.process()`.
+Top-level container returned by `DocumentPipeline.process_file()`.
 
 ```python
 class Document:
diff --git a/pyproject.toml b/pyproject.toml
index 38330da..afea16d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "longparser"
-version = "0.1.2"
+version = "0.1.3"
 description = "Privacy-first document intelligence engine — converts PDFs, DOCX, PPTX, XLSX, and CSV into AI-ready Markdown + structured JSON for RAG pipelines."
 readme = {file = "README.md", content-type = "text/markdown"}
 requires-python = ">=3.10"
diff --git a/src/longparser/__init__.py b/src/longparser/__init__.py
index 5de272e..7d00c7e 100755
--- a/src/longparser/__init__.py
+++ b/src/longparser/__init__.py
@@ -9,9 +9,9 @@
 
 Quick start::
 
-    from longparser import PipelineOrchestrator, ProcessingConfig
+    from longparser import DocumentPipeline, ProcessingConfig
 
-    pipeline = PipelineOrchestrator()
+    pipeline = DocumentPipeline(ProcessingConfig())
     result = pipeline.process_file("document.pdf")
     print(result.chunks[0].text)
 
@@ -19,13 +19,13 @@
 
     uv run uvicorn longparser.server.app:app --reload --port 8000
 
-See :class:`~longparser.pipeline.PipelineOrchestrator` for the main SDK entry
+See :class:`~longparser.pipeline.DocumentPipeline` for the main SDK entry
 point and :mod:`longparser.server` for the REST API layer.
 """
 
 from __future__ import annotations
 
-__version__ = "0.1.2"
+__version__ = "0.1.3"
 __author__ = "ENDEVSOLS Team"
 __license__ = "MIT"
 
@@ -62,6 +62,9 @@ def __getattr__(name: str):
     if name == "PipelineOrchestrator":
         from .pipeline import PipelineOrchestrator
         return PipelineOrchestrator
+    if name == "DocumentPipeline":
+        from .pipeline import DocumentPipeline
+        return DocumentPipeline
     if name == "PipelineResult":
         from .pipeline import PipelineResult
         return PipelineResult
@@ -99,6 +102,7 @@ def __getattr__(name: str):
     # Lazily imported (require extras)
     "DoclingExtractor",
     "PipelineOrchestrator",
+    "DocumentPipeline",
     "PipelineResult",
     "HybridChunker",
 ]
diff --git a/src/longparser/pipeline/__init__.py b/src/longparser/pipeline/__init__.py
index 6b775d9..710800e 100755
--- a/src/longparser/pipeline/__init__.py
+++ b/src/longparser/pipeline/__init__.py
@@ -2,7 +2,11 @@
 
 from .orchestrator import PipelineOrchestrator, PipelineResult
 
+# Public alias — docs and quickstart use this name
+DocumentPipeline = PipelineOrchestrator
+
 __all__ = [
     "PipelineOrchestrator",
+    "DocumentPipeline",
     "PipelineResult",
 ]
diff --git a/src/longparser/server/chat/engine.py b/src/longparser/server/chat/engine.py
index b55b7cf..d50a7af 100755
--- a/src/longparser/server/chat/engine.py
+++ b/src/longparser/server/chat/engine.py
@@ -76,7 +76,7 @@
 # Token Counting (model-aware) — kept as custom logic
 # ---------------------------------------------------------------------------
 
-def count_tokens(text: str, model: str = "gpt-4o") -> int:
+def count_tokens(text: str, model: str = "gpt-5.3") -> int:
     """Count tokens — exact for OpenAI models, conservative approx for others."""
     try:
         import tiktoken
@@ -96,7 +96,7 @@ def budget_trim(
     recent_turns: list[dict],
     rolling_summary: str,
     long_term_facts: list[dict],
-    model: str = "gpt-4o",
+    model: str = "gpt-5.3",
     max_prompt_tokens: int = 6000,
 ) -> dict:
     """Priority-ordered truncation of prompt variables to fit token budget.
diff --git a/src/longparser/server/chat/llm_chain.py b/src/longparser/server/chat/llm_chain.py
index f2cb8e7..b32bb2f 100755
--- a/src/longparser/server/chat/llm_chain.py
+++ b/src/longparser/server/chat/llm_chain.py
@@ -115,7 +115,7 @@ def get_chat_model(
     """
     config = config or ChatConfig()
     provider = provider or config.llm_provider
-    model = model or config.llm_model or DEFAULT_MODELS.get(provider, "gpt-4o")
+    model = model or config.llm_model or DEFAULT_MODELS.get(provider, "gpt-5.3")
     max_tokens = max_tokens or config.max_output_tokens
 
     creator = _CREATORS.get(provider)
diff --git a/src/longparser/server/chat/schemas.py b/src/longparser/server/chat/schemas.py
index 0405a84..0479cf7 100755
--- a/src/longparser/server/chat/schemas.py
+++ b/src/longparser/server/chat/schemas.py
@@ -33,7 +33,7 @@ class ChatConfig(BaseModel):
         default_factory=lambda: os.getenv("LONGPARSER_LLM_PROVIDER", "openai")
     )
     llm_model: str = Field(
-        default_factory=lambda: os.getenv("LONGPARSER_LLM_MODEL", "gpt-4o")
+        default_factory=lambda: os.getenv("LONGPARSER_LLM_MODEL", "gpt-5.3")
     )
     max_input_tokens: int = Field(
         default_factory=lambda: int(os.getenv("LONGPARSER_CHAT_MAX_INPUT_TOKENS", "1000"))
diff --git a/src/longparser/server/embeddings.py b/src/longparser/server/embeddings.py
index e59f513..e0b2bbc 100755
--- a/src/longparser/server/embeddings.py
+++ b/src/longparser/server/embeddings.py
@@ -108,7 +108,7 @@ def dim(self) -> int:
                 return self._dim
 
             fp = self.get_fingerprint()
-            cache_key = f"cleanrag:embed_dim:{fp}"
+            cache_key = f"longparser:embed_dim:{fp}"
 
             # 1) Try Redis cross-process cache if available
             try: