fix demo

demos/use_cases/multi_agent_with_crewai_langchain/Dockerfile

@@ -2,27 +2,23 @@ FROM python:3.13-slim
 
 WORKDIR /app
 
-# Install bash and uv
-RUN apt-get update && apt-get install -y bash && rm -rf /var/lib/apt/lists/*
-RUN pip install --no-cache-dir uv
+# Install system dependencies
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends bash && \
+    rm -rf /var/lib/apt/lists/* && \
+    pip install --no-cache-dir uv
 
-# Copy dependency files
-COPY pyproject.toml ./
-COPY README.md ./
-
-# Install dependencies to system Python
+# Install Python dependencies
+COPY pyproject.toml README.md ./
 RUN uv pip install --system .
 
-# Copy shared utilities
-COPY openai_protocol.py ./
-
 # Copy application code
+COPY openai_protocol.py ./
 COPY crewai/ ./crewai/
 COPY langchain/ ./langchain/
 
-# Set environment variables
-ENV PYTHONUNBUFFERED=1
-ENV PYTHONPATH=/app:$PYTHONPATH
+# Runtime configuration
+ENV PYTHONUNBUFFERED=1 \
+    PYTHONPATH=/app
 
-# Default command (will be overridden in docker-compose)
 CMD ["uv", "run", "python", "crewai/flight_agent.py"]

demos/use_cases/multi_agent_with_crewai_langchain/config.yaml

@@ -2,9 +2,9 @@ version: v0.3.0
 
 agents:
   - id: weather_agent
-    url: http://host.docker.internal:10510
+    url: http://langchain-weather-agent:10510
   - id: flight_agent
-    url: http://host.docker.internal:10520
+    url: http://crewai-flight-agent:10520
 
 model_providers:
   - model: openai/gpt-4o

demos/use_cases/multi_agent_with_crewai_langchain/crewai/flight_agent.py

@@ -36,7 +36,7 @@ http_client = httpx.AsyncClient(timeout=30.0)
 openai_client = AsyncOpenAI(base_url=LLM_GATEWAY_ENDPOINT, api_key="EMPTY")
 
 
-SYSTEM_PROMPT = """You are a travel planning assistant specializing in flight information.
+SYSTEM_PROMPT = """You are a travel planning assistant specializing in flight information and travel conditions.
 
 CRITICAL: You MUST respond with ONLY the final answer to the user.
 
@@ -60,12 +60,20 @@ Flight Information Format:
 - Aircraft: Model name
 - Status: Current status
 
+Weather Information (when available):
+- Present weather data in a clear, readable format
+- Include temperature, conditions, and any travel advisories
+- Integrate weather context with flight information naturally
+- Mention how weather might affect travel plans if relevant
+
 Your task:
 1. Use tools silently (don't mention them to the user)
 2. Convert technical data into friendly, readable text
 3. Use 12-hour time format (e.g., "9:00 AM")
 4. Organize flights chronologically by departure time
-5. Include terminal/gate info when available6. NOTE (Multi-agent context): If the conversation includes information from other sources that are not flight-related, incorporate it naturally."""
+5. Include terminal/gate info when available
+6. When weather data is provided, summarize it clearly and relate it to the travel plans
+7. NOTE (Multi-agent context): If the conversation includes information from other sources (weather, hotels, etc.), incorporate it naturally and cohesively in your response."""
 
 
 def build_flight_crew(

demos/use_cases/multi_agent_with_crewai_langchain/docker-compose.yaml

@@ -1,13 +1,11 @@
 
 services:
   plano:
-    image: katanemo/plano:0.4.2  # Will auto-pull from Docker Hub if not present locally
-    container_name: plano-dataplane
+    build:
+      context: ../../../
+      dockerfile: Dockerfile
     ports:
-      - "12000:12000"  # Main LLM gateway port
-      - "8001:8001"    # Agent/prompt gateway port
-      - "12001:12001"  # Control plane port
-      - "19901:9901"   # Envoy admin interface
+      - "8001:8001"
     environment:
       - ARCH_CONFIG_PATH=/app/arch_config.yaml
       - OPENAI_API_KEY=${OPENAI_API_KEY:?OPENAI_API_KEY environment variable is required but not set}
@@ -15,51 +13,28 @@ services:
     volumes:
       - ./config.yaml:/app/arch_config.yaml:ro
       - /etc/ssl/cert.pem:/etc/ssl/cert.pem
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:12000/healthz"]
-      interval: 5s
-      timeout: 3s
-      retries: 5
-      start_period: 10s
-    extra_hosts:
-      - "host.docker.internal:host-gateway"
 
   crewai-flight-agent:
     build:
-      context: .
       dockerfile: Dockerfile
-    container_name: crewai-flight-agent
     restart: always
     ports:
       - "10520:10520"
     environment:
-      - LLM_GATEWAY_ENDPOINT=http://host.docker.internal:12000/v1
+      - LLM_GATEWAY_ENDPOINT=http://plano:12000/v1
       - AEROAPI_KEY=${AEROAPI_KEY:?AEROAPI_KEY environment variable is required but not set}
       - PYTHONUNBUFFERED=1
     command: ["python", "-u", "crewai/flight_agent.py"]
-    depends_on:
-      plano:
-        condition: service_healthy
-    extra_hosts:
-      - "host.docker.internal:host-gateway"
 
   langchain-weather-agent:
     build:
-      context: .
       dockerfile: Dockerfile
-    container_name: langchain-weather-agent
     restart: always
     ports:
       - "10510:10510"
     environment:
-      - LLM_GATEWAY_ENDPOINT=http://host.docker.internal:12000/v1
-      - PYTHONUNBUFFERED=1
+      - LLM_GATEWAY_ENDPOINT=http://plano:12000/v1
     command: ["python", "-u", "langchain/weather_agent.py"]
-    depends_on:
-      plano:
-        condition: service_healthy
-    extra_hosts:
-      - "host.docker.internal:host-gateway"
 
   open-web-ui:
     image: dyrnq/open-webui:main
@@ -69,21 +44,11 @@ services:
     environment:
       - DEFAULT_MODEL=gpt-4o-mini
       - ENABLE_OPENAI_API=true
-      - OPENAI_API_BASE_URL=http://host.docker.internal:8001/v1
-    depends_on:
-      plano:
-        condition: service_healthy
-      langchain-weather-agent:
-        condition: service_started
-      crewai-flight-agent:
-        condition: service_started
-    extra_hosts:
-      - "host.docker.internal:host-gateway"
+      - OPENAI_API_BASE_URL=http://plano:8001/v1
 
   jaeger:
     build:
       context: ../../shared/jaeger
-    container_name: jaeger
     restart: always
     ports:
       - "16686:16686"  # Jaeger UI

demos/use_cases/multi_agent_with_crewai_langchain/langchain/weather_agent.py

@@ -250,7 +250,7 @@ class WeatherToolInput(BaseModel):
     )
 
 
-WEATHER_SYSTEM_PROMPT = """You are a weather assistant in a multi-agent system. You will receive weather data in JSON format with these fields:
+WEATHER_SYSTEM_PROMPT = """You are a weather and travel conditions assistant in a multi-agent system. You will receive weather data in JSON format with these fields:
 
     - "location": City name
     - "forecast": Array of weather objects, each with date, day_name, temperature_c, temperature_f, temperature_max_c, temperature_min_c, weather_code, sunrise, sunset
@@ -263,7 +263,11 @@ WEATHER_SYSTEM_PROMPT = """You are a weather assistant in a multi-agent system.
     4. Include temperature in both Celsius and Fahrenheit
     5. Describe conditions naturally based on weather_code
     6. Use conversational language
-    7. NOTE (Multi-agent context): If the conversation includes information from other agents and sources incorporate it naturally.
+    7. When flight information is present in the conversation, summarize it clearly:
+       - Present flight details in a readable format (airline, times, gates, status)
+       - Integrate flight and weather information cohesively
+       - Mention how weather might affect the flights if relevant
+    8. NOTE (Multi-agent context): If the conversation includes information from other agents and sources (flights, hotels, etc.), incorporate it naturally and provide a comprehensive travel summary.
 
     Remember: Only use the provided data. If fields are null, mention data is unavailable."""