gramps/jarvisChat
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

docs: add roadmap items M (MCP) and N (AMQP cluster nervous system), fix jarvis IP

Browse Source
This commit is contained in:
Llama Chile Shop
2026-06-23 15:31:16 +00:00
parent ec2f4c0332
commit 41a8708c0d
1 changed files with 7 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

9
README.md
View File

@@ -43,7 +43,7 @@ Solo developers and homelab enthusiasts who are:
│ │ │ │
│ ┌─────────────────┐ ┌──────────────────────────┐ │ │ ┌─────────────────┐ ┌──────────────────────────┐ │
│ │ jarvis │◄──RPC───│ ultron │ │ │ │ jarvis │◄──RPC───│ ultron │ │
│ │ 192.168.50.212│ 50052 │ 192.168.50.108 │ │ │ │ 192.168.50.210│ 50052 │ 192.168.50.108 │ │
│ │ │ │ │ │ │ │ │ │ │ │
│ │ jC :8080 │ │ llama-server :8081 │ │ │ │ jC :8080 │ │ llama-server :8081 │ │
│ │ SearXNG :8888 │ │ llama-server :8082 (*) │ │ │ │ SearXNG :8888 │ │ llama-server :8082 (*) │ │
@@ -122,7 +122,7 @@ Type=simple
User=root User=root
ExecStart=/root/llama.cpp/build/bin/llama-server \ ExecStart=/root/llama.cpp/build/bin/llama-server \
--model /home/gramps/models/Mistral-Nemo-Instruct-2407-Q4_K_M.gguf \ --model /home/gramps/models/Mistral-Nemo-Instruct-2407-Q4_K_M.gguf \
--rpc 192.168.50.212:50052 \ --rpc 192.168.50.210:50052 \
--host 0.0.0.0 \ --host 0.0.0.0 \
--port 8081 \ --port 8081 \
--n-gpu-layers 99 --n-gpu-layers 99
@@ -429,6 +429,11 @@ python3 -c "import sqlite3; print(sqlite3.connect('/opt/jarvischat/jarvischat.db
**(L) Dual inference model architecture** — Mistral-Nemo-12B on ultron:8081 (general assistant), Qwen2.5-Coder-14B-Q5_K_M on ultron:8082 (code/pair programming). jC selects endpoint based on active model. Only one model hot at a time given ultron's 16GB RAM constraint. **(L) Dual inference model architecture** — Mistral-Nemo-12B on ultron:8081 (general assistant), Qwen2.5-Coder-14B-Q5_K_M on ultron:8082 (code/pair programming). jC selects endpoint based on active model. Only one model hot at a time given ultron's 16GB RAM constraint.
**(M) MCP server compatibility** — Expose jC as an MCP server. Minimum scope: tool manifest endpoint, SSE transport, chat and RAG query as callable tools. Depends on TODO #22 (OpenAI-compat `/v1/chat/completions` endpoint). Reference: [bubblit](https://github.com/soup-oss/bubblit) for behavior-class lazy loading of tool manifests.
**(N) AMQP Cluster Nervous System** — RabbitMQ on ultron as the cluster master/hub. Topic exchange `jc.cluster`, direct exchange `jc.commands`. Worker nodes (jarvis + future nodes) self-register by connecting to the ultron broker and publishing to `node.<hostname>.health` (GPU/RPC/RAM stats) and `node.<hostname>.models` (available GGUFs). jC subscribes to all `node.*` topics — drives UI status dots, model dropdown, and resource bars. Commands flow ultron→node via `cmd.<hostname>.*` queues (e.g. model load, service restart). **Long-term vision:** a resident AI model on each node acts as the AMQP agent — consuming its command queue, building a prompt, deciding action, publishing result. The message bus becomes the nervous system for a distributed agentic cluster where intelligence lives at the edges. ultron orchestrates; worker nodes are autonomous agents. Scales to arbitrary additional nodes with no topology changes.
--- ---
## Primary Cluster Objectives ## Primary Cluster Objectives