refactor: consolidate Ollama model configuration

- Add OLLAMA_EMBEDDING_MODEL for embeddings (nomic-embed-text)
- OLLAMA_MODEL now used for all LLM operations (mistral-nemo-large:latest)
- Remove separate reranker_model setting
- Update WikiPageWriter to use settings instead of hardcoded model
- Improves VRAM efficiency by keeping one model hot

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

CHANGELOG.md

@@ -5,6 +5,17 @@ All notable changes to Library Desk will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [1.3.2] - 2025-12-22
+
+### Changed
+
+- **Consolidated Ollama model configuration** - All LLM operations now use single `OLLAMA_MODEL` environment variable
+  - Removed separate `reranker_model` setting
+  - HybridRAG re-ranking, consolidation analysis, and wiki page writing all use the same model
+  - Improves VRAM efficiency by keeping one model hot
+- Added `OLLAMA_EMBEDDING_MODEL` environment variable for embedding model (previously overloaded `OLLAMA_MODEL`)
+- Updated WikiPageWriter to accept settings instead of hardcoded model name
+
 ## [1.3.1] - 2025-12-16
 
 ### Fixed

README.md

@@ -49,7 +49,8 @@ QDRANT_PORT=6333
 WIKIJS_URL=http://wiki:3000
 SEARXNG_URL=http://searxng:8080
 OLLAMA_URL=http://ollama:11434
-OLLAMA_MODEL=nomic-embed-text
+OLLAMA_MODEL=mistral-nemo-large:latest
+OLLAMA_EMBEDDING_MODEL=nomic-embed-text
 REDIS_HOST=redis-shared
 REDIS_PORT=6379
 REDIS_DB=2

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "library-desk"
-version = "1.3.1"
+version = "1.3.2"
 description = "Coordination service for The Library system - HybridRAG queries, document ingestion, entity extraction, and knowledge consolidation"
 readme = "README.md"
 requires-python = ">=3.12"

src/config.py

@@ -62,12 +62,12 @@ class Settings(BaseSettings):
     # SearXNG Configuration
     searxng_url: str = Field(default="http://searxng:8080", description="SearXNG URL")
 
-    # Ollama Configuration (for embeddings)
+    # Ollama Configuration
     ollama_url: str = Field(default="http://ollama:11434", description="Ollama URL")
-    ollama_model: str = Field(default="nomic-embed-text", description="Ollama embedding model")
+    ollama_model: str = Field(default="mistral-nemo-large:latest", description="Ollama LLM model")
+    ollama_embedding_model: str = Field(default="nomic-embed-text", description="Ollama embedding model")
 
     # HybridRAG Configuration
-    reranker_model: str = Field(default="mistral-nemo", description="Model for LLM re-ranking")
     reranker_enabled: bool = Field(default=True, description="Enable LLM re-ranking")
     hybrid_rag_vector_limit: int = Field(default=10, ge=1, le=50, description="Vector search limit")
     hybrid_rag_graph_limit: int = Field(default=10, ge=1, le=50, description="Graph search limit")

src/core/dependencies.py

@@ -113,7 +113,7 @@ def get_ollama_client() -> OllamaClient:
     settings = get_settings()
     client = OllamaClient(
         base_url=settings.ollama_url,
-        model=settings.ollama_model
+        model=settings.ollama_embedding_model
     )
     logger.debug("Created Ollama client instance")
     return client

src/routers/wiki.py

@@ -229,7 +229,7 @@ async def smart_create_page(
             content_extractor=content_extractor,
             settings=settings
         )
-        wiki_page_writer = WikiPageWriter(ollama_client=ollama_client)
+        wiki_page_writer = WikiPageWriter(ollama_client=ollama_client, settings=settings)
 
         # Step 1-5: Research + Generate + Create page
         page, research_data = await wiki_service.smart_create_page(

src/services/consolidation_service.py

@@ -47,7 +47,7 @@ class ConsolidationService:
         self.ollama = ollama
         self.wiki = wiki
         self.settings = settings
-        self.wiki_page_writer = WikiPageWriter(ollama_client=ollama)
+        self.wiki_page_writer = WikiPageWriter(ollama_client=ollama, settings=settings)
         self.ingestion_service = ingestion_service  # Optional to avoid circular dependency
 
     async def consolidate_knowledge(
@@ -465,7 +465,7 @@ JSON:"""
             # Call Ollama for analysis
             response = await self.ollama.generate_text(
                 prompt=prompt,
-                model=self.settings.reranker_model,  # Use mistral-nemo
+                model=self.settings.ollama_model,
                 stream=False
             )
 

src/services/hybrid_rag_service.py

@@ -6,7 +6,7 @@ HybridRAG service combining vector, graph, and web search.
 1. Parallel Retrieval - Vector + Graph + Web search
 2. RRF Fusion - Merge results with Reciprocal Rank Fusion
 3. Enrichment - Add related dossiers via graph
-4. LLM Re-ranking - Re-rank with mistral-nemo
+4. LLM Re-ranking - Re-rank with configured Ollama model
 5. Context Formatting - Format for LLM consumption
 6. Persistence - Store for Librarian processing
 """
@@ -65,7 +65,7 @@ class HybridRAGService:
         self.ollama = ollama_client
         self.content_extractor = content_extractor
         self.settings = settings
-        self.reranker_model = settings.reranker_model
+        self.reranker_model = settings.ollama_model
 
     async def search(
         self,

src/services/wiki_page_writer.py

@@ -1,7 +1,7 @@
 """
 Intelligent Wiki Page Writer Service
 
-Uses LLM (mistral-nemo) to create and reconstruct wiki pages with:
+Uses LLM to create and reconstruct wiki pages with:
 - Holistic content restructuring
 - Zero fact loss (unless superseded)
 - Conflict detection and flagging
@@ -25,15 +25,16 @@ class WikiPageWriter:
     Intelligent wiki page writer using LLM for content generation and restructuring.
     """
 
-    def __init__(self, ollama_client):
+    def __init__(self, ollama_client, settings):
         """
         Initialize wiki page writer.
 
         Args:
             ollama_client: OllamaClient for LLM operations
+            settings: Application settings
         """
         self.ollama = ollama_client
-        self.model = "mistral-nemo"  # Default model for writing
+        self.model = settings.ollama_model
 
     async def create_page(
         self,