nomyo-router/README.md

NOMYO Router

is a transparent proxy for Ollama with model deployment aware routing.

It runs between your frontend application and Ollama backend and is transparent for both, the front- and backend.

Installation

Copy/Clone the repository, edit the config.yaml by adding your Ollama backend servers and the max_concurrent_connections setting per endpoint. This equals to your OLLAMA_NUM_PARALLEL config settings.

# config.yaml
# Ollama or OpenAI API V1 endpoints
endpoints:
  - http://ollama0:11434
  - http://ollama1:11434
  - http://ollama2:11434
  - https://api.openai.com/v1

# llama.cpp server endpoints
llama_server_endpoints:
  - http://192.168.0.33:8889/v1

# Maximum concurrent connections *per endpoint‑model pair*
max_concurrent_connections: 2

# Optional router-level API key to lock down router + dashboard (leave empty to disable)
nomyo-router-api-key: ""

# API keys for remote endpoints
# Set an environment variable like OPENAI_KEY
# Confirm endpoints are exactly as in endpoints block
api_keys:
  "http://192.168.0.50:11434": "ollama"
  "http://192.168.0.51:11434": "ollama"
  "http://192.168.0.52:11434": "ollama"
  "https://api.openai.com/v1": "${OPENAI_KEY}"
  "http://192.168.0.33:8889/v1": "llama"

Run the NOMYO Router in a dedicated virtual environment, install the requirements and run with uvicorn:

python3 -m venv .venv/router
source .venv/router/bin/activate
pip3 install -r requirements.txt

[optional] on the shell do:

export OPENAI_KEY=YOUR_SECRET_API_KEY
# Optional: router-level key (clients must send Authorization: Bearer)
# export NOMYO_ROUTER_API_KEY=YOUR_ROUTER_KEY

finally you can

uvicorn router:app --host 127.0.0.1 --port 12434

in very high concurrent scenarios (> 500 simultaneous requests) you can also run with uvloop

uvicorn router:app --host 127.0.0.1 --port 12434 --loop uvloop

Docker Deployment

Pre-built image (GitHub Container Registry)

Pre-built multi-arch images (linux/amd64, linux/arm64) are published automatically on every release.

Lean image (exact-match cache, ~300 MB):

docker pull bitfreedom.net/nomyo-ai/nomyo-router:latest
docker pull bitfreedom.net/nomyo-ai/nomyo-router:0.7

Semantic image (semantic cache with all-MiniLM-L6-v2 pre-baked, ~800 MB):

docker pull bitfreedom.net/nomyo-ai/nomyo-router:latest-semantic
docker pull bitfreedom.net/nomyo-ai/nomyo-router:0.7-semantic

Build the container image locally

# Lean build (exact match cache, default)
docker build -t nomyo-router .

# Semantic build — sentence-transformers + model baked in
docker build --build-arg SEMANTIC_CACHE=true -t nomyo-router:semantic .

Run the router in Docker with your own configuration file mounted from the host. The entrypoint script accepts a --config-path argument so you can point to a file anywhere inside the container:

docker run -d \
  --name nomyo-router \
  -p 12434:12434 \
  -v /absolute/path/to/config_folder:/app/config/ \
  -e CONFIG_PATH /app/config/config.yaml
  nomyo-router \

Notes:

• -e CONFIG_PATH sets the NOMYO_ROUTER_CONFIG_PATH environment variable under the hood; you can export it directly instead if you prefer.
• To override the bind address or port, export UVICORN_HOST or UVICORN_PORT, or pass the corresponding uvicorn flags after --, e.g. nomyo-router --config-path /config/config.yaml -- --port 9000.
• Use docker logs nomyo-router to confirm the loaded endpoints and concurrency settings at startup.

Routing

NOMYO Router accepts any Ollama request on the configured port for any Ollama endpoint from your frontend application. It then checks the available backends for the specific request. When the request is embed(dings), chat or generate the request will be forwarded to a single Ollama server, answered and send back to the router which forwards it back to the frontend.

If another request for the same model config is made, NOMYO Router is aware which model runs on which Ollama server and routes the request to an Ollama server where this model is already deployed.

If at the same time there are more than max concurrent connections than configured, NOMYO Router will route this request to another Ollama server serving the requested model and having the least connections for fastest completion.

This way the Ollama backend servers are utilized more efficient than by simply using a wheighted, round-robin or least-connection approach.

NOMYO Router also supports OpenAI API compatible v1 backend servers.

Semantic LLM Cache

NOMYO Router includes an optional semantic cache that serves repeated or semantically similar LLM requests from cache — no endpoint round-trip, no token cost, response in <10 ms.

Enable (exact match, any image)

# config.yaml
cache_enabled: true
cache_backend: sqlite    # persists across restarts
cache_similarity: 1.0   # exact match only
cache_ttl: 3600

Enable (semantic matching, :semantic image)

cache_enabled: true
cache_backend: sqlite
cache_similarity: 0.90   # "What is Python?" ≈ "What's Python?" → cache hit
cache_ttl: 3600
cache_history_weight: 0.3

Pull the semantic image:

docker pull ghcr.io/nomyo-ai/nomyo-router:latest-semantic

Cache key strategy

Each request is keyed on model + system_prompt (exact) combined with a weighted-mean embedding of BM25-weighted chat history (30%) and the last user message (70%). This means:

• Different system prompts → always separate cache namespaces (no cross-tenant leakage)
• Same question, different phrasing → cache hit (semantic mode)
• MOE requests (moe-*) → always bypass the cache

Cached routes

/api/chat · /api/generate · /v1/chat/completions · /v1/completions

Cache management

curl http://localhost:12434/api/cache/stats        # hit rate, counters, config
curl -X POST http://localhost:12434/api/cache/invalidate  # clear all entries

Supplying the router API key

If you set nomyo-router-api-key in config.yaml (or NOMYO_ROUTER_API_KEY env), every request to NOMYO Router must include the key:

• HTTP header (recommended): Authorization: Bearer <router_key>
• Query param (fallback): ?api_key=<router_key>

Examples:

curl -H "Authorization: Bearer $NOMYO_ROUTER_API_KEY" http://localhost:12434/api/tags
curl "http://localhost:12434/api/tags?api_key=$NOMYO_ROUTER_API_KEY"