fix: working URL with both http and https

docker/compose/docker-compose.deepseek-14b-gpu.yml

@@ -22,8 +22,7 @@ services:
       --tensor-parallel-size 1
       --uvicorn-log-level warning
     environment:
-      - SVC_HOST=deepseek_14b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://deepseek_14b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=false
     volumes:

docker/compose/docker-compose.gemma-27b-gpu.yml

@@ -27,8 +27,7 @@ services:
       --kv-cache-dtype fp8
       --uvicorn-log-level warning
     environment:
-      - SVC_HOST=gemma_27b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://gemma_27b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=false
       - MULTIMODAL_SUPPORT=true

docker/compose/docker-compose.gemma-4b-gpu.ci.yml

@@ -26,8 +26,7 @@ services:
 
       --uvicorn-log-level warning
     environment:
-      - SVC_HOST=gemma_4b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://gemma_4b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=false
       - MULTIMODAL_SUPPORT=true

docker/compose/docker-compose.gpt-120b-gpu.yml

@@ -26,8 +26,7 @@ services:
       --tensor-parallel-size 1
       --uvicorn-log-level warning
     environment:
-      - SVC_HOST=gpt_120b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://gpt_120b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=true
     volumes:

docker/compose/docker-compose.gpt-20b-gpu.ci.yml

@@ -21,8 +21,7 @@ services:
     command: >
       --model openai/gpt-oss-20b --gpu-memory-utilization 0.95 --max-model-len 10000 --max-num-batched-tokens 10000 --max-num-seqs 2 --tensor-parallel-size 1 --uvicorn-log-level warning --async-scheduling
     environment:
-      - SVC_HOST=gpt_20b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://gpt_20b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=true
     volumes:

docker/compose/docker-compose.gpt-20b-gpu.yml

@@ -26,8 +26,7 @@ services:
       --tensor-parallel-size 1
       --uvicorn-log-level warning
     environment:
-      - SVC_HOST=gpt_20b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://gpt_20b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=true
     volumes:

docker/compose/docker-compose.llama-1b-cpu.yml

@@ -17,8 +17,7 @@ services:
       --tool-call-parser llama3_json
       --uvicorn-log-level warning
     environment:
-      - SVC_HOST=llama_1b_cpu
-      - SVC_PORT=8000
+      - SVC_URL=http://llama_1b_cpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=true
     volumes:

docker/compose/docker-compose.llama-1b-gpu.ci.yml

@@ -30,8 +30,7 @@ services:
       --uvicorn-log-level warning
       --dtype half
     environment:
-      - SVC_HOST=llama_1b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://llama_1b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=true
       - CUDA_LAUNCH_BLOCKING=1

docker/compose/docker-compose.llama-1b-gpu.yml

@@ -28,8 +28,7 @@ services:
       --tool-call-parser llama3_json
       --uvicorn-log-level warning
     environment:
-      - SVC_HOST=llama_1b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://llama_1b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=true
     volumes:

docker/compose/docker-compose.llama-3b-gpu.yml

@@ -28,8 +28,7 @@ services:
       --tool-call-parser llama3_json
       --uvicorn-log-level warning
     environment:
-      - SVC_HOST=llama_3b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://llama_3b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=true
     volumes:

docker/compose/docker-compose.llama-70b-gpu.yml

@@ -28,8 +28,7 @@ services:
       --tool-call-parser llama3_json
       --uvicorn-log-level warning
     environment:
-      - SVC_HOST=llama_70b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://llama_70b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=true
     volumes:

docker/compose/docker-compose.llama-8b-gpu.yml

@@ -29,8 +29,7 @@ services:
       --enable-auto-tool-choice
       --chat-template /daemon/nilai-models/templates/llama3.1_tool_json.jinja
     environment:
-      - SVC_HOST=llama_8b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://llama_8b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=true
     volumes:

docker/compose/docker-compose.lmstudio.yml

@@ -7,8 +7,7 @@ services:
       redis:
         condition: service_healthy
     environment:
-      - SVC_HOST=host.docker.internal
-      - SVC_PORT=1234
+      - SVC_URL=http://host.docker.internal:1234
       - DISCOVERY_URL=redis://redis:6379
       - LMSTUDIO_SUPPORTED_FEATURES=chat_completion
     extra_hosts:

docker/compose/docker-compose.nilai-prod-1.yml

@@ -27,8 +27,7 @@ services:
       --kv-cache-dtype fp8
       --uvicorn-log-level warning
     environment:
-      - SVC_HOST=gemma_27b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://gemma_27b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=false
       - MULTIMODAL_SUPPORT=true

docker/compose/docker-compose.nilai-prod-2.yml

@@ -35,8 +35,7 @@ services:
       --enable-auto-tool-choice
       --chat-template /daemon/nilai-models/templates/llama3.1_tool_json.jinja
     environment:
-      - SVC_HOST=llama_8b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://llama_8b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=true
     volumes:
@@ -74,8 +73,7 @@ services:
       --tensor-parallel-size 1
       --uvicorn-log-level warning
     environment:
-      - SVC_HOST=gpt_20b_gpu
-      - SVC_PORT=8000
+      - SVC_URL=http://gpt_20b_gpu:8000
       - DISCOVERY_URL=redis://redis:6379
       - TOOL_SUPPORT=true
     volumes:

docker/compose/docker-compose.qwen-2b-gpu.ci.yml

@@ -42,8 +42,7 @@ services:
       ]
 
     environment:
-      SVC_HOST: qwen2vl_2b_gpu
-      SVC_PORT: "8000"
+      SVC_URL: http://qwen2vl_2b_gpu:8000
       DISCOVERY_URL: redis://redis:6379
       TOOL_SUPPORT: "true"
       MULTIMODAL_SUPPORT: "true"

nilai-api/src/nilai_api/app.py

@@ -1,6 +1,3 @@
-# Fast API and serving
-
-
 from prometheus_fastapi_instrumentator import Instrumentator
 from fastapi import Depends, FastAPI
 from nilai_api.auth import get_auth_info
@@ -25,7 +22,8 @@ async def lifespan(app: FastAPI):
     yield {"redis": client, "redis_rate_limit_command": rate_limit_command}
 
 
-host = SETTINGS.host
+api_base = SETTINGS.url.rstrip("/")
+openapi_url = f"{api_base}/openapi.json"
 description = f"""
 An AI model serving platform powered by secure, confidential computing.
 
@@ -39,7 +37,7 @@ async def lifespan(app: FastAPI):
 pip install openapi-generator-cli
 
 # Generate your Python client
-openapi-generator-cli generate -i https://{host}/openapi.json -g python -o ./python-client
+openapi-generator-cli generate -i {openapi_url} -g python -o ./python-client
 ```
 
 ### For JavaScript/TypeScript Developers
@@ -48,7 +46,7 @@ async def lifespan(app: FastAPI):
 npm install @openapitools/openapi-generator-cli -g
 
 # Generate your TypeScript client
-openapi-generator-cli generate -i https://{host}/openapi.json -o ./typescript-client
+openapi-generator-cli generate -i {openapi_url} -o ./typescript-client
 ```
 
 After generating, you'll have a fully functional client library that makes it easy to interact with our AI services. No more manual API request handling!

nilai-models/src/nilai_models/daemon.py

@@ -23,7 +23,7 @@ async def get_metadata():
     while True:
         url = None
         try:
-            url = f"http://{SETTINGS.host}:{SETTINGS.port}/v1/models"
+            url = f"{SETTINGS.url}/v1/models"
             async with httpx.AsyncClient() as client:
                 response = await client.get(url)
                 response.raise_for_status()
@@ -94,9 +94,7 @@ async def main():
 
     # Fetch metadata and create endpoint
     metadata = await get_metadata()
-    model_endpoint = ModelEndpoint(
-        url=f"http://{SETTINGS.host}:{SETTINGS.port}", metadata=metadata
-    )
+    model_endpoint = ModelEndpoint(url=SETTINGS.url.rstrip("/"), metadata=metadata)
 
     # Create service task
     service_task = asyncio.create_task(run_service(discovery_service, model_endpoint))

nilai-models/src/nilai_models/lmstudio_announcer.py

@@ -144,9 +144,7 @@ async def main():
     logging.basicConfig(level=logging.INFO)
 
     # Load configuration from environment
-    api_base = os.getenv(
-        "LMSTUDIO_API_BASE", f"http://{SETTINGS.host}:{SETTINGS.port}"
-    ).rstrip("/")
+    api_base = os.getenv("LMSTUDIO_API_BASE", SETTINGS.url).rstrip("/")
     models_endpoint = os.getenv("LMSTUDIO_MODELS_ENDPOINT", "/v1/models")
     registration_url = os.getenv("LMSTUDIO_REGISTRATION_URL", api_base).rstrip("/")
     lease_ttl = int(os.getenv("LMSTUDIO_LEASE_TTL", "60"))
@@ -192,7 +190,7 @@ async def main():
     )
 
     logger.info(
-        "Announcing LMStudio models %s via %s with Redis at %s:%s",
+        "Announcing LMStudio models %s via %s with Redis at %s",
         ", ".join(model_ids),
         registration_url,
         SETTINGS.discovery_url,

packages/nilai-common/src/nilai_common/config/host.py

@@ -12,8 +12,9 @@ def to_bool(value: str) -> bool:
 class HostSettings(BaseModel):
     """Infrastructure and service host configuration."""
 
-    host: str = Field(default="localhost", description="Host of the service")
-    port: int = Field(default=8000, description="Port of the service")
+    url: str = Field(
+        default="http://localhost:8000", description="Base URL of the service"
+    )
     discovery_url: str = Field(
         default="redis://redis:6379",
         description="Redis URL of the discovery service (preferred)",
@@ -23,8 +24,7 @@ class HostSettings(BaseModel):
 
 # Global host settings instance
 SETTINGS: HostSettings = HostSettings(
-    host=str(os.getenv("SVC_HOST", "localhost")),
-    port=int(os.getenv("SVC_PORT", 8000)),
+    url=str(os.getenv("SVC_URL", "http://localhost:8000")),
     discovery_url=str(os.getenv("DISCOVERY_URL", "redis://redis:6379")),
     gunicorn_workers=int(os.getenv("NILAI_GUNICORN_WORKERS", 10)),
 )

packages/nilai-common/src/nilai_common/discovery.py

@@ -23,8 +23,6 @@ def __init__(
         Initialize Redis client for model service discovery.
 
         :param url: Redis URL (e.g., redis:// or rediss://). Preferred default.
-        :param host: Redis server host
-        :param port: Redis server port
         :param lease_ttl: TTL time for endpoint registration (in seconds)
         """
         self.lease_ttl = lease_ttl