Update

Dockerfile

@@ -12,7 +12,8 @@ ENV PYTHONUNBUFFERED=1 \
     UV_COMPILE_BYTECODE=1 \
     UV_CACHE_DIR=/tmp/uv-cache \
     PORT=${PORT} \
-    TRANSPORT_SERVER_URL=${TRANSPORT_SERVER_URL}
+    TRANSPORT_SERVER_URL=${TRANSPORT_SERVER_URL} \
+    HF_HOME=/app/.cache
 
 # Install system dependencies
 RUN apt-get update && apt-get install -y \
@@ -58,6 +59,10 @@ COPY --chown=appuser:appuser . .
 RUN --mount=type=cache,target=/tmp/uv-cache \
     uv sync --locked --no-editable --no-dev
 
+# Create cache directories for Hugging Face with proper ownership
+RUN mkdir -p /app/.cache && \
+    chown -R appuser:appuser /app/.cache
+
 # Switch to non-root user
 USER appuser
 

client/examples/basic-usage.ts

@@ -1,6 +1,6 @@
 #!/usr/bin/env bun
 /**
- * Basic Usage Example for LeRobot Arena Inference Server TypeScript Client
+ * Basic Usage Example for RobotHub Inference Server TypeScript Client
  * 
  * This example demonstrates how to:
  * 1. Create a client instance
@@ -234,7 +234,7 @@ async function quickExample() {
 
 // Run the main example
 if (import.meta.main) {
-  console.log('=== LeRobot Arena Inference Server Client Example ===\n');
+  console.log('=== RobotHub Inference Server Client Example ===\n');
   
   // Choose which example to run based on command line argument
   const runQuick = process.argv.includes('--quick');

src/inference_server/export_openapi.py

@@ -7,7 +7,6 @@ from typing import Any
 import yaml
 from fastapi.openapi.utils import get_openapi
 
-
 from inference_server.main import app
 
 
@@ -29,7 +28,7 @@ def create_custom_openapi_schema(app) -> dict[str, Any]:
         {"name": "Health", "description": "Health check and server status endpoints"},
         {
             "name": "Sessions",
-            "description": "Inference session management - create, control, and monitor AI sessions",
+            "description": "Inference session management - create, control, and monitor Inference Sessions",
         },
         {
             "name": "Control",
@@ -171,6 +170,7 @@ Examples:
         if args.validate:
             try:
                 from openapi_spec_validator import validate_spec
+
                 validate_spec(schema)
                 print("✅ Schema validation passed")
             except ImportError: