diff --git a/config.yaml b/config.yaml
new file mode 100644
index 0000000..a0d14ed
--- /dev/null
+++ b/config.yaml
@@ -0,0 +1,8 @@
+# config.yaml
+endpoints:
+  - http://192.168.0.50:11434
+  - http://192.168.0.51:11434
+  - http://192.168.0.52:11434
+
+# Maximum concurrent connections *per endpoint‑model pair*
+max_concurrent_connections: 2
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..988d1df
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,21 @@
+annotated-types==0.7.0
+anyio==4.10.0
+certifi==2025.8.3
+click==8.2.1
+exceptiongroup==1.3.0
+fastapi==0.116.1
+h11==0.16.0
+httpcore==1.0.9
+httpx==0.28.1
+idna==3.10
+ollama==0.5.3
+pydantic==2.11.7
+pydantic-settings==2.10.1
+pydantic_core==2.33.2
+python-dotenv==1.1.1
+PyYAML==6.0.2
+sniffio==1.3.1
+starlette==0.47.2
+typing-inspection==0.4.1
+typing_extensions==4.14.1
+uvicorn==0.35.0
diff --git a/router.py b/router.py
new file mode 100644
index 0000000..3e864db
--- /dev/null
+++ b/router.py
@@ -0,0 +1,753 @@
+"""
+title: NOMYO Router - an Ollama Proxy with Endpoint:Model aware routing
+author: alpha-nerd-nomyo
+author_url: https://github.com/nomyo-ai
+version: 0.1
+license: AGPL
+"""
+# -------------------------------------------------------------
+import json, random, asyncio, yaml, httpx, ollama
+from pathlib import Path
+from typing import Dict, Set, List
+from fastapi import FastAPI, Request, HTTPException
+from starlette.responses import StreamingResponse, JSONResponse, Response
+from pydantic import Field
+from pydantic_settings import BaseSettings
+from collections import defaultdict
+
+# -------------------------------------------------------------
+# 1. Configuration loader
+# -------------------------------------------------------------
+class Config(BaseSettings):
+    # List of Ollama endpoints
+    endpoints: list[str] = Field(
+        default_factory=lambda: [
+            "http://localhost:11434",
+        ]
+    )
+    # Max concurrent connections per endpoint‑model pair, see OLLAMA_NUM_PARALLEL
+    max_concurrent_connections: int = 1
+
+    class Config:
+        # Load from `config.yaml` first, then from env variables
+        env_prefix = "OLLAMA_PROXY_"
+        yaml_file = Path("config.yaml")  # relative to cwd
+
+    @classmethod
+    def from_yaml(cls, path: Path) -> "Config":
+        """Load the YAML file and create the Config instance."""
+        if path.exists():
+            with path.open("r", encoding="utf-8") as fp:
+                data = yaml.safe_load(fp) or {}
+            return cls(**data)
+        return cls()
+
+# Create the global config object – it will be overwritten on startup
+config = Config()
+
+# -------------------------------------------------------------
+# 2. FastAPI application
+# -------------------------------------------------------------
+app = FastAPI()
+
+# -------------------------------------------------------------
+# 3. Global state: per‑endpoint per‑model active connection counters
+# -------------------------------------------------------------
+usage_counts: Dict[str, Dict[str, int]] = defaultdict(lambda: defaultdict(int))
+usage_lock = asyncio.Lock()  # protects access to usage_counts
+
+# -------------------------------------------------------------
+# 4. Helperfunctions 
+# -------------------------------------------------------------
+async def fetch_loaded_models(endpoint: str) -> Set[str]:
+    """
+    Query <endpoint>/api/ps and return a set of model names that are currently
+    loaded on that endpoint. If the request fails (e.g. timeout, 5xx), an empty
+    set is returned.
+    """
+    try:
+        async with httpx.AsyncClient(timeout=1.0) as client:
+            resp = await client.get(f"{endpoint}/api/ps")
+            resp.raise_for_status()
+            data = resp.json()
+            # The response format is:
+            #   {"models": [{"name": "model1"}, {"name": "model2"}]}
+            models = {m.get("name") for m in data.get("models", []) if m.get("name")}
+            return models
+    except Exception:
+        # If anything goes wrong we simply assume the endpoint has no models
+        return set()
+
+async def fetch_endpoint_details(endpoint: str, route: str, detail: str) -> List[dict]:
+    """
+    Query <endpoint>/<route> to fetch <detail> and return a List of dicts with details
+    for the corresponding Ollama endpoint. If the request fails we respond with "N/A" for detail.
+    """
+    try:
+        async with httpx.AsyncClient(timeout=1.0) as client:
+            resp = await client.get(f"{endpoint}{route}")
+            resp.raise_for_status()
+            data = resp.json()
+            detail = data.get(detail)
+            return detail
+    except Exception:
+        # If anything goes wrong we cannot reply versions
+        return {detail: "N/A"}
+
+def dedupe_on_keys(dicts, key_fields):
+    """
+    Helper function to deduplicate endpoint details based on given dict keys.
+    """
+    seen = set()
+    out = []
+    for d in dicts:
+        # Build a tuple of the values for the chosen keys
+        key = tuple(d.get(k) for k in key_fields)
+        if key not in seen:
+            seen.add(key)
+            out.append(d)
+    return out
+
+# -------------------------------------------------------------
+# 5. Endpoint selection logic (respecting the configurable limit)
+# -------------------------------------------------------------
+async def choose_endpoint(model: str) -> str:
+    """
+    Determine which endpoint to use for the given model while respecting the
+    `max_concurrent_connections` per endpoint‑model pair.
+
+    The selection algorithm is as follows:
+
+    1. Find all endpoints that have the model *already loaded* and that still
+       have a free slot (< max_concurrent_connections).
+    2. If none exist, find any endpoint that has a free slot regardless of
+       whether the model is loaded – the endpoint will load the model on demand.
+    3. If all endpoints are at capacity for this model, pick any endpoint
+       arbitrarily – the request will queue on that endpoint.
+    """
+    # Gather loaded models for all endpoints concurrently
+    tasks = [fetch_loaded_models(ep) for ep in config.endpoints]
+    loaded_sets = await asyncio.gather(*tasks)
+
+    async with usage_lock:
+        # 1️⃣ Endpoints that have the model loaded *and* a free slot
+        loaded_and_free = [
+            ep for ep, models in zip(config.endpoints, loaded_sets)
+            if model in models and usage_counts[ep].get(model, 0) < config.max_concurrent_connections
+        ]
+
+        if loaded_and_free:
+            # Prefer an endpoint that already hosts the model and has capacity
+            return random.choice(loaded_and_free)
+
+        # 2️⃣ Endpoints that simply have a free slot (model may or may not be loaded)
+        endpoints_with_free_slot = [
+            ep for ep in config.endpoints
+            if usage_counts[ep].get(model, 0) < config.max_concurrent_connections
+        ]
+
+        if endpoints_with_free_slot:
+            return random.choice(endpoints_with_free_slot)
+
+        # 3️⃣ All endpoints are at capacity – pick any (will queue on that endpoint according to OLLAMA_MAX_QUEUE)
+        return random.choice(config.endpoints)
+
+async def increment_usage(endpoint: str, model: str) -> None:
+    async with usage_lock:
+        usage_counts[endpoint][model] += 1
+
+async def decrement_usage(endpoint: str, model: str) -> None:
+    async with usage_lock:
+        # Avoid negative counts
+        current = usage_counts[endpoint].get(model, 0)
+        if current > 0:
+            usage_counts[endpoint][model] = current - 1
+        # Optionally, clean up zero entries
+        if usage_counts[endpoint].get(model, 0) == 0:
+            usage_counts[endpoint].pop(model, None)
+        if not usage_counts[endpoint]:
+            usage_counts.pop(endpoint, None)
+
+# -------------------------------------------------------------
+# 6. API route – Generate
+# -------------------------------------------------------------
+@app.post("/api/generate")
+async def proxy(request: Request):
+    """
+    Proxy a generate request to Ollama and stream the response back to the client.
+    """
+    # 1. Parse and validate request
+    try:
+        body_bytes = await request.body()
+        payload = json.loads(body_bytes.decode("utf-8"))
+        
+        model = payload.get("model")
+        prompt = payload.get("prompt")
+        suffix = payload.get("suffix")
+        system = payload.get("system")
+        template = payload.get("template")
+        context = payload.get("context")
+        stream = payload.get("stream")
+        think = payload.get("think")
+        raw = payload.get("raw")
+        format = payload.get("format")
+        images = payload.get("images")
+        options = payload.get("options")
+        keep_alive = payload.get("keep_alive")
+
+        if not model:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'model'"
+            )
+        if not prompt:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'prompt'"
+            )
+    except json.JSONDecodeError as e:
+        raise HTTPException(status_code=400, detail=f"Invalid JSON: {e}") from e
+
+    # 2. Decide which endpoint to use
+    endpoint = await choose_endpoint(model)
+
+    # Increment usage counter for this endpoint‑model pair
+    await increment_usage(endpoint, model)
+
+    # 3. Create Ollama client instance
+    client = ollama.AsyncClient(host=endpoint)
+
+    # 4. Async generator that streams data and decrements the counter
+    async def stream_generate_response():
+        try:
+            async_gen = await client.generate(model=model, prompt=prompt, suffix=suffix, system=system, template=template, context=context, stream=stream, think=think, raw=raw, format=format, images=images, options=options, keep_alive=keep_alive)
+            if stream == True:
+                async for chunk in async_gen:
+                    if hasattr(chunk, "model_dump_json"):
+                        json_line = chunk.model_dump_json()
+                    else:
+                        json_line = json.dumps(chunk)
+                    yield json_line.encode("utf-8") + b"\n"
+            else:
+                json_line = (
+                    async_gen.model_dump_json()
+                    if hasattr(async_gen, "model_dump_json")
+                    else json.dumps(async_gen)
+                )
+                yield json_line.encode("utf-8") + b"\n"
+
+        finally:
+            # Ensure counter is decremented even if an exception occurs
+            await decrement_usage(endpoint, model)
+
+    # 5. Return a StreamingResponse backed by the generator
+    return StreamingResponse(
+        stream_generate_response(),
+        media_type="application/json",
+    )
+
+# -------------------------------------------------------------
+# 7. API route – Chat
+# -------------------------------------------------------------
+@app.post("/api/chat")
+async def chat_proxy(request: Request):
+    """
+    Proxy a chat request to Ollama and stream the endpoint reply.
+    """
+    # 1. Parse and validate request
+    try:
+        body_bytes = await request.body()
+        payload = json.loads(body_bytes.decode("utf-8"))
+
+        model = payload.get("model")
+        messages = payload.get("messages")
+        tools = payload.get("tools")
+        stream = payload.get("stream")
+        think = payload.get("think")
+        format = payload.get("format")
+        options = payload.get("options")
+        keep_alive = payload.get("keep_alive")
+
+        if not model:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'model'"
+            )
+        if not isinstance(messages, list):
+            raise HTTPException(
+                status_code=400, detail="Missing or invalid 'message' field (must be a list)"
+            )
+    except json.JSONDecodeError as e:
+        raise HTTPException(status_code=400, detail=f"Invalid JSON: {e}") from e
+
+    # 2. Endpoint logic
+    endpoint = await choose_endpoint(model)
+    await increment_usage(endpoint, model)
+    client = ollama.AsyncClient(host=endpoint)
+
+    # 3. Async generator that streams chat data and decrements the counter
+    async def stream_chat_response():
+        try:
+            # The chat method returns a generator of dicts (or GenerateResponse)
+            async_gen = await client.chat(model=model, messages=messages, tools=tools, stream=stream, think=think, format=format, options=options, keep_alive=keep_alive)
+            if stream == True:
+                async for chunk in async_gen:
+                    # `chunk` can be a dict or a pydantic model – dump to JSON safely
+                    if hasattr(chunk, "model_dump_json"):
+                        json_line = chunk.model_dump_json()
+                    else:
+                        json_line = json.dumps(chunk)
+                    yield json_line.encode("utf-8") + b"\n"
+            else:
+                json_line = (
+                    async_gen.model_dump_json()
+                    if hasattr(async_gen, "model_dump_json")
+                    else json.dumps(async_gen)
+                )
+                yield json_line.encode("utf-8") + b"\n"
+
+        finally:
+            # Ensure counter is decremented even if an exception occurs
+            await decrement_usage(endpoint, model)
+
+    # 4. Return a StreamingResponse backed by the generator
+    return StreamingResponse(
+        stream_chat_response(),
+        media_type="application/json",
+    )
+
+# -------------------------------------------------------------
+# 8. API route – Embedding
+# -------------------------------------------------------------
+@app.post("/api/embeddings")
+async def embedding_proxy(request: Request):
+    """
+    Proxy an embedding request to Ollama and reply with embeddings.
+
+    """
+    # 1. Parse and validate request
+    try:
+        body_bytes = await request.body()
+        payload = json.loads(body_bytes.decode("utf-8"))
+
+        model = payload.get("model")
+        prompt = payload.get("prompt")
+        options = payload.get("options")
+        keep_alive = payload.get("keep_alive")
+
+        if not model:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'model'"
+            )
+        if not prompt:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'prompt'"
+            )
+    except json.JSONDecodeError as e:
+        raise HTTPException(status_code=400, detail=f"Invalid JSON: {e}") from e
+
+    # 2. Endpoint logic
+    endpoint = await choose_endpoint(model)
+    await increment_usage(endpoint, model)
+    client = ollama.AsyncClient(host=endpoint)
+
+    # 3. Async generator that streams embedding data and decrements the counter
+    async def stream_embedding_response():
+        try:
+            # The chat method returns a generator of dicts (or GenerateResponse)
+            async_gen = await client.embeddings(model=model, prompt=prompt, options=options, keep_alive=keep_alive)
+            if hasattr(async_gen, "model_dump_json"):
+                json_line = async_gen.model_dump_json()
+            else:
+                json_line = json.dumps(async_gen)
+            yield json_line.encode("utf-8") + b"\n"
+        finally:
+            # Ensure counter is decremented even if an exception occurs
+            await decrement_usage(endpoint, model)
+
+    # 5. Return a StreamingResponse backed by the generator
+    return StreamingResponse(
+        stream_embedding_response(),
+        media_type="application/json",
+    )
+
+# -------------------------------------------------------------
+# 8. API route – Embed
+# -------------------------------------------------------------
+@app.post("/api/embed")
+async def embed_proxy(request: Request):
+    """
+    Proxy an embed request to Ollama and reply with embeddings.
+
+    """
+    # 1. Parse and validate request
+    try:
+        body_bytes = await request.body()
+        payload = json.loads(body_bytes.decode("utf-8"))
+
+        model = payload.get("model")
+        input = payload.get("input")
+        truncate = payload.get("truncate")
+        options = payload.get("options")
+        keep_alive = payload.get("keep_alive")
+
+        if not model:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'model'"
+            )
+        if not input:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'input'"
+            )
+    except json.JSONDecodeError as e:
+        raise HTTPException(status_code=400, detail=f"Invalid JSON: {e}") from e
+
+    # 2. Endpoint logic
+    endpoint = await choose_endpoint(model)
+    await increment_usage(endpoint, model)
+    client = ollama.AsyncClient(host=endpoint)
+
+    # 3. Async generator that streams embed data and decrements the counter
+    async def stream_embedding_response():
+        try:
+            # The chat method returns a generator of dicts (or GenerateResponse)
+            async_gen = await client.embed(model=model, input=input, truncate=truncate, options=options, keep_alive=keep_alive)
+            if hasattr(async_gen, "model_dump_json"):
+                json_line = async_gen.model_dump_json()
+            else:
+                json_line = json.dumps(async_gen)
+            yield json_line.encode("utf-8") + b"\n"
+        finally:
+            # Ensure counter is decremented even if an exception occurs
+            await decrement_usage(endpoint, model)
+
+    # 4. Return a StreamingResponse backed by the generator
+    return StreamingResponse(
+        stream_embedding_response(),
+        media_type="application/json",
+    )
+
+# -------------------------------------------------------------
+# 9. API route – Create
+# -------------------------------------------------------------
+@app.post("/api/create")
+async def create_proxy(request: Request):
+    """
+    Proxy a create request to all Ollama endpoints and reply with deduplicated status.
+    """
+    try:
+        body_bytes = await request.body()
+        payload = json.loads(body_bytes.decode("utf-8"))
+
+        model = payload.get("model")
+        quantize = payload.get("quantize")
+        from_ = payload.get("from")
+        files = payload.get("files")
+        adapters = payload.get("adapters")
+        template = payload.get("template")
+        license = payload.get("license")
+        system = payload.get("system")
+        parameters = payload.get("parameters")
+        messages = payload.get("messages")
+        
+        if not model:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'model'"
+            )
+        if not from_ and not files:
+            raise HTTPException(
+                status_code=400, detail="You need to provide either from_ or files parameter!"
+            )
+    except json.JSONDecodeError as e:
+        raise HTTPException(status_code=400, detail=f"Invalid JSON: {e}") from e
+    
+    status_lists = []
+    for endpoint in config.endpoints:
+        client = ollama.AsyncClient(host=endpoint)
+        create = await client.create(model=model, quantize=quantize, from_=from_, files=files, adapters=adapters, template=template, license=license, system=system, parameters=parameters, messages=messages, stream=False)
+        status_lists.append(create)
+
+    combined_status = []
+    for status_list in status_lists:
+        combined_status += status_list
+
+    final_status = list(dict.fromkeys(combined_status))
+
+    return dict(final_status)
+
+# -------------------------------------------------------------
+# 10. API route – Show
+# -------------------------------------------------------------
+@app.post("/api/show")
+async def show_proxy(request: Request):
+    """
+    Proxy a model show request to Ollama and reply with ShowResponse.
+
+    """
+    try:
+        body_bytes = await request.body()
+        payload = json.loads(body_bytes.decode("utf-8"))
+
+        model = payload.get("model")
+        
+        if not model:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'model'"
+            )
+    except json.JSONDecodeError as e:
+        raise HTTPException(status_code=400, detail=f"Invalid JSON: {e}") from e
+
+    # 2. Endpoint logic
+    endpoint = await choose_endpoint(model)
+    await increment_usage(endpoint, model)
+    client = ollama.AsyncClient(host=endpoint)
+
+    # 3. Proxy a simple show request
+    show = await client.show(model=model)
+
+    # 4. Return ShowResponse
+    return show
+
+# -------------------------------------------------------------
+# 11. API route – Copy
+# -------------------------------------------------------------
+@app.post("/api/copy")
+async def copy_proxy(request: Request):
+    """
+    Proxy a model copy request to each Ollama endpoint and reply with Status Code.
+
+    """
+    # 1. Parse and validate request
+    try:
+        body_bytes = await request.body()
+        payload = json.loads(body_bytes.decode("utf-8"))
+
+        src = payload.get("source")
+        dst = payload.get("destination")
+        
+        if not src:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'source'"
+            )
+        if not dst:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'destination'"
+            )
+    except json.JSONDecodeError as e:
+        raise HTTPException(status_code=400, detail=f"Invalid JSON: {e}") from e
+
+    # 3. Iterate over all endpoints to copy the model on each endpoint
+    status_list = []
+    for endpoint in config.endpoints:
+        client = ollama.AsyncClient(host=endpoint)
+        # 4. Proxy a simple copy request
+        copy = await client.copy(source=src, destination=dst)
+        status_list.append(copy.status)
+
+    # 4. Return with 200 OK if all went well, 404 if a single endpoint failed
+    if 404 in status_list:
+        return Response(
+            status_code=404
+        )
+    else:
+        return Response(
+            status_code=200
+        )    
+
+# -------------------------------------------------------------
+# 12. API route – Delete
+# -------------------------------------------------------------
+@app.delete("/api/delete")
+async def delete_proxy(request: Request):
+    """
+    Proxy a model delete request to each Ollama endpoint and reply with Status Code.
+
+    """
+    # 1. Parse and validate request
+    try:
+        body_bytes = await request.body()
+        payload = json.loads(body_bytes.decode("utf-8"))
+
+        model = payload.get("model")
+        
+        if not model:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'model'"
+            )
+    except json.JSONDecodeError as e:
+        raise HTTPException(status_code=400, detail=f"Invalid JSON: {e}") from e
+
+    # 2. Iterate over all endpoints to delete the model on each endpoint
+    status_list = []
+    for endpoint in config.endpoints:
+        client = ollama.AsyncClient(host=endpoint)
+        # 3. Proxy a simple copy request
+        copy = await client.delete(model=model)
+        status_list.append(copy.status)
+    
+    # 4. Retrun 200 0K, if a single enpoint fails, respond with 404
+    if 404 in status_list:
+        return Response(
+            status_code=404
+        )
+    else:
+        return Response(
+            status_code=200
+        )    
+
+# -------------------------------------------------------------
+# 13. API route – Pull
+# -------------------------------------------------------------
+@app.post("/api/pull")
+async def pull_proxy(request: Request):
+    """
+    Proxy a pull request to all Ollama endpoint and report status back.
+    """
+    # 1. Parse and validate request
+    try:
+        body_bytes = await request.body()
+        payload = json.loads(body_bytes.decode("utf-8"))
+
+        model = payload.get("model")
+        insecure = payload.get("insecure")
+
+        if not model:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'model'"
+            )
+    except json.JSONDecodeError as e:
+        raise HTTPException(status_code=400, detail=f"Invalid JSON: {e}") from e
+
+    # 2. Iterate over all endpoints to pull the model
+    status_list = []
+    for endpoint in config.endpoints:
+        client = ollama.AsyncClient(host=endpoint)
+        # 3. Proxy a simple pull request
+        pull = await client.pull(model=model, insecure=insecure, stream=False)
+        status_list.append(pull)
+
+    combined_status = []
+    for status in status_list:
+        combined_status += status
+    
+    # 4. Report back a deduplicated status message
+    final_status = list(dict.fromkeys(combined_status))
+
+    return dict(final_status)
+
+# -------------------------------------------------------------
+# 14. API route – Push
+# -------------------------------------------------------------
+@app.post("/api/push")
+async def push_proxy(request: Request):
+    """
+    Proxy a push request to Ollama and respond the deduplicated Ollama endpoint replies.
+    """
+    # 1. Parse and validate request
+    try:
+        body_bytes = await request.body()
+        payload = json.loads(body_bytes.decode("utf-8"))
+
+        model = payload.get("model")
+        insecure = payload.get("insecure")
+
+        if not model:
+            raise HTTPException(
+                status_code=400, detail="Missing required field 'model'"
+            )
+    except json.JSONDecodeError as e:
+        raise HTTPException(status_code=400, detail=f"Invalid JSON: {e}") from e
+
+    # 2. Iterate over all endpoints
+    status_list = []
+    for endpoint in config.endpoints:
+        client = ollama.AsyncClient(host=endpoint)
+        # 3. Proxy a simple push request
+        push = await client.push(model=model, insecure=insecure, stream=False)
+        status_list.append(push)
+
+    combined_status = []
+    for status in status_list:
+        combined_status += status
+    
+    # 4. Report a deduplicated status
+    final_status = list(dict.fromkeys(combined_status))
+
+    return dict(final_status)
+
+
+# -------------------------------------------------------------
+# 15. API route – Version
+# -------------------------------------------------------------
+@app.get("/api/version")
+async def version_proxy(request: Request):
+    """
+    Proxy a version request to Ollama and reply lowest version of all endpoints.
+
+    """
+    # 1. Query all endpoints for version
+    tasks = [fetch_endpoint_details(ep, "/api/version", "version") for ep in config.endpoints]
+    all_versions = await asyncio.gather(*tasks)
+    
+    def version_key(v):
+        return tuple(map(int, v.split('.')))
+    
+    # 2. Return a JSONResponse with the min Version of all endpoints to maintain compatibility
+    return JSONResponse(
+        content={"version": str(min(all_versions, key=version_key))},
+        status_code=200,
+    )
+
+# -------------------------------------------------------------
+# 16. API route – tags
+# -------------------------------------------------------------
+@app.get("/api/tags")
+async def tags_proxy(request: Request):
+    """
+    Proxy a tags request to Ollama endpoints and reply with a unique list of all models.
+
+    """
+    # 1. Query all endpoints for models
+    tasks = [fetch_endpoint_details(ep, "/api/tags", "models") for ep in config.endpoints]
+    all_models = await asyncio.gather(*tasks)
+    
+    models = {'models': []}
+    for modellist in all_models:
+        models['models'] += modellist
+    
+    # 2. Return a JSONResponse with a deduplicated list of unique models for inference
+    return JSONResponse(
+        content={"models": dedupe_on_keys(models['models'], ['digest','name'])},
+        status_code=200,
+    )
+
+# -------------------------------------------------------------
+# 17. API route – ps
+# -------------------------------------------------------------
+@app.get("/api/ps")
+async def ps_proxy(request: Request):
+    """
+    Proxy a ps request to all Ollama endpoints and reply a unique list of all running models.
+
+    """
+    # 1. Query all endpoints for running models
+    tasks = [fetch_endpoint_details(ep, "/api/ps", "models") for ep in config.endpoints]
+    loaded_models = await asyncio.gather(*tasks)
+
+    models = {'models': []}
+    for modellist in loaded_models:
+        models['models'] += modellist
+    
+    # 25. Return a JSONResponse with deduplicated currently deployed models
+    return JSONResponse(
+        content={"models": dedupe_on_keys(models['models'], ['digest'])},
+        status_code=200,
+    )
+
+# -------------------------------------------------------------
+# 18. FastAPI startup event – load configuration
+# -------------------------------------------------------------
+@app.on_event("startup")
+async def startup_event() -> None:
+    global config
+    # Load YAML config (or use defaults if not present)
+    config = Config.from_yaml(Path("config.yaml"))
+    print(f"Loaded configuration:\n endpoints={config.endpoints},\n "
+          f"max_concurrent_connections={config.max_concurrent_connections}")
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