docs(architecture): correct agent model to gemma4:e2b

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

AGENTS.md

@@ -270,7 +270,7 @@ echo $WEBBER_API_URL  # Should be http://localhost:8095
 curl http://192.168.86.149:11434/api/tags
 
 # Check model is available
-curl http://192.168.86.149:11434/api/tags | grep mistral-nemo
+curl http://192.168.86.149:11434/api/tags | grep gemma4
 ```
 
 ### Tests failing

README.md

@@ -107,7 +107,7 @@ This project uses prefixed tags for independent release cycles:
 ## Requirements
 
 - Python 3.12+
-- Ollama running with `mistral-nemo:latest` model
+- Ollama running with `gemma4:e2b` model
 - Docker (for production deployment)
 - SearXNG (optional, for web search)
 

webber-api/.env.example

@@ -14,7 +14,7 @@ CORS_ORIGINS=["http://localhost:3000","http://localhost:8080"]
 
 # LLM - Ollama (tower-of-joy)
 OLLAMA_URL=http://192.168.86.149:11434
-OLLAMA_AGENT_MODEL=mistral-nemo-large:latest
+OLLAMA_AGENT_MODEL=gemma4:e2b
 OLLAMA_EMBED_MODEL=nomic-embed-text:latest
 
 # Auth - Tatlock integration (optional)

webber-api/CHANGELOG.md

@@ -7,6 +7,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+### Changed
+- Default `OLLAMA_AGENT_MODEL` is now `gemma4:e2b` instead of `mistral-nemo-large:latest`, so a deployment without an explicit override no longer exhausts shared GPU memory
+
 ## [1.0.1] - 2026-07-19
 
 ### Changed

webber-api/docs/architecture.md

@@ -13,7 +13,7 @@ Webber is a FastAPI-based agent orchestration service that provides:
 **Port:** 8086
 **Runtime:** Python 3.12, FastAPI, Uvicorn
 **Agent Framework:** PydanticAI
-**Default LLM:** Ollama with mistral-nemo-large:latest
+**Default LLM:** Ollama with gemma4:e2b
 
 ---
 
@@ -205,7 +205,7 @@ All settings via environment variables or `.env`:
 | HOST | 0.0.0.0 | Server host |
 | PORT | 8086 | Server port |
 | OLLAMA_URL | http://192.168.86.149:11434 | Ollama API URL |
-| OLLAMA_AGENT_MODEL | mistral-nemo-large:latest | Agent reasoning model |
+| OLLAMA_AGENT_MODEL | gemma4:e2b | Agent reasoning model |
 | OLLAMA_EMBED_MODEL | nomic-embed-text:latest | Embedding model |
 | TATLOCK_API_URL | http://tatlock:8000 | Tatlock auth service |
 | SEARXNG_URL | http://searxng:8080 | SearXNG web search instance |
@@ -359,7 +359,7 @@ Gitea Actions workflow:
 
 Deployed in Portainer `agents` stack alongside Tatlock:
 - Network: `docker-dataplane`
-- Registry: `git.schweitz.internal/jpmschweitzer/webber`
+- Registry: `git.schweitz.net/jpmschweitzer/webber`
 - Auto-update: Watchtower with label `com.centurylinklabs.watchtower.enable=true`
 
 ---

webber-api/src/shared/config.py

@@ -64,7 +64,7 @@ class Settings(BaseSettings):
 
     # LLM - Ollama (always hot in VRAM on tower-of-joy)
     ollama_url: str = "http://192.168.86.149:11434"
-    ollama_agent_model: str = "mistral-nemo-large:latest"
+    ollama_agent_model: str = "gemma4:e2b"
     ollama_embed_model: str = "nomic-embed-text:latest"
 
     # Auth - Tatlock integration