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

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Co-Authored-By: Claude <noreply@anthropic.com>
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jpmschweitzer
2026-08-07 14:59:12 +02:00
co-authored by Claude
parent 9d58df85f3
commit 9612c7af05
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webber-api/docs/architecture.md
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@@ -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 |