mirror of
https://github.com/katanemo/plano.git
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cleaning up demos
This commit is contained in:
parent
ae28ab8612
commit
005ae95383
50 changed files with 178 additions and 35 deletions
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@ -1,7 +1,7 @@
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services:
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chatbot_ui:
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build:
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context: ../shared/chatbot_ui
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context: ../../shared/chatbot_ui
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ports:
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- "18080:8080"
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environment:
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@ -8,7 +8,6 @@ services:
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- CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1
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volumes:
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- ./arch_config.yaml:/app/arch_config.yaml
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- ../shared/chatbot_ui/common.py:/app/common.py
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ports:
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- "18080:80"
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healthcheck:
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@ -18,7 +17,7 @@ services:
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chatbot_ui:
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build:
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context: ../shared/chatbot_ui
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context: ../../shared/chatbot_ui
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dockerfile: Dockerfile
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ports:
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- "18080:8080"
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Before Width: | Height: | Size: 549 KiB After Width: | Height: | Size: 549 KiB |
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@ -1,5 +1,5 @@
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# Stage 1: Build the application using Maven
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FROM maven:3.8.7-openjdk-17 AS build
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FROM maven:3.8.7-openjdk-18-slim AS build
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WORKDIR /app
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# Copy pom.xml and download dependencies first (caching)
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COPY pom.xml .
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@ -14,5 +14,5 @@ WORKDIR /app
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# Copy the built jar from the previous stage
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COPY --from=build /app/target/weather-forecast-service-0.0.1-SNAPSHOT.jar app.jar
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# Expose the port on which the app runs (default Spring Boot is 8080)
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EXPOSE 8080
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EXPOSE 8081
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ENTRYPOINT ["java", "-jar", "app.jar"]
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@ -0,0 +1,45 @@
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version: v0.1
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listener:
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address: 127.0.0.1
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port: 10000 #If you configure port 443, you'll need to update the listener with tls_certificates
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message_format: huggingface
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# Centralized way to manage LLMs, manage keys, retry logic, failover and limits in a central way
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llm_providers:
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- name: OpenAI
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provider_interface: openai
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access_key: $OPENAI_API_KEY
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model: gpt-4o-mini
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default: true
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# Arch creates a round-robin load balancing between different endpoints, managed via the cluster subsystem.
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endpoints:
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weather_forecast_service:
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# value could be ip address or a hostname with port
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# this could also be a list of endpoints for load balancing
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# for example endpoint: [ ip1:port, ip2:port ]
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endpoint: host.docker.internal:18081
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# max time to wait for a connection to be established
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connect_timeout: 0.005s
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# default system prompt used by all prompt targets
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system_prompt: |
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You are a helpful weather assistant.
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prompt_targets:
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- name: weather_forecast
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description: get the weather forecast
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parameters:
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- name: location
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description: the location for which to get the weather forecast
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required: true
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type: string
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format: City, State
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- name: days
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description: the number of days for the forecast
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required: true
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type: int
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endpoint:
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name: weather_forecast_service
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path: /weather
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http_method: POST
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@ -0,0 +1,20 @@
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services:
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weather_forecast_service:
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build:
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context: .
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dockerfile: Dockerfile
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ports:
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- "18081:8081"
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chatbot_ui:
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build:
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context: ../../../shared/chatbot_ui
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dockerfile: Dockerfile
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ports:
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- "18080:8080"
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environment:
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- CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1
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extra_hosts:
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- "host.docker.internal:host-gateway"
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volumes:
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- ./arch_config.yaml:/app/arch_config.yaml
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@ -4,7 +4,7 @@
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https://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<groupId></groupId>
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<groupId>weather</groupId>
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<artifactId>weather-forecast-service</artifactId>
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<version>0.0.1-SNAPSHOT</version>
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<packaging>jar</packaging>
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@ -1,7 +1,6 @@
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package weather.controller;
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import weather.model.DayForecast;
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import weeather.model.Temperature;
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import weather.model.WeatherForecastResponse;
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import weather.model.WeatherRequest;
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import org.springframework.web.bind.annotation.PostMapping;
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@ -20,7 +19,7 @@ public class WeatherController {
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private Random random = new Random();
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@PostMapping("/weather")
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public WeatherForecastResponse getWeather(@RequestBody WeatherRequest req) {
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public WeatherForecastResponse getRandomWeatherForecast(@RequestBody WeatherRequest req) {
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WeatherForecastResponse response = new WeatherForecastResponse();
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response.setLocation(req.getLocation());
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response.setUnits(req.getUnits());
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@ -5,7 +5,7 @@ import java.util.List;
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public class WeatherForecastResponse {
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private String location;
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private String units;
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private List<DayForecast> temperature;
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private List<DayForecast> forecast;
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// Default Constructor
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public WeatherForecastResponse() {}
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@ -28,10 +28,10 @@ public class WeatherForecastResponse {
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}
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public List<DayForecast> getDailyForecast() {
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return temperature;
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return forecast;
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}
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public void setDailyForecas(List<DayForecast> forecast) {
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public void setDailyForecast(List<DayForecast> forecast) {
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this.forecast = forecast;
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}
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}
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@ -0,0 +1 @@
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server.port=8081
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19
demos/sample_apps/network_switch_operator_agent/Dockerfile
Normal file
19
demos/sample_apps/network_switch_operator_agent/Dockerfile
Normal file
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@ -0,0 +1,19 @@
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FROM python:3.12 AS base
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FROM base AS builder
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WORKDIR /src
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COPY requirements.txt /src/
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RUN pip install --prefix=/runtime --force-reinstall -r requirements.txt
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COPY ../. /src
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FROM python:3.12-slim AS output
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COPY --from=builder /runtime /usr/local
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COPY ../. /app
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WORKDIR /app
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80", "--log-level", "info"]
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@ -0,0 +1,20 @@
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services:
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api_server:
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build:
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context: .
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dockerfile: Dockerfile
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ports:
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- "18083:80"
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chatbot_ui:
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build:
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context: ../../shared/chatbot_ui
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dockerfile: Dockerfile
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ports:
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- "18080:8080"
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environment:
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- CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1
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extra_hosts:
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- "host.docker.internal:host-gateway"
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volumes:
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- ./arch_config.yaml:/app/arch_config.yaml
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Before Width: | Height: | Size: 636 KiB After Width: | Height: | Size: 636 KiB |
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@ -0,0 +1,13 @@
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fastapi
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uvicorn
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pydantic
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typing
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pandas
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gradio==5.3.0
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async_timeout==4.0.3
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loguru==0.7.2
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asyncio==3.4.3
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httpx==0.27.0
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python-dotenv==1.0.1
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pydantic==2.8.2
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openai==1.51.0
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@ -1,7 +1,7 @@
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services:
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chatbot_ui:
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build:
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context: ../shared/chatbot_ui
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context: ../../shared/chatbot_ui
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ports:
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- "18080:8080"
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environment:
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47
demos/sample_apps/stock_quote/run_demo.sh
Normal file
47
demos/sample_apps/stock_quote/run_demo.sh
Normal file
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#!/bin/bash
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set -e
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# Function to start the demo
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start_demo() {
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# Step 1: Check if .env file exists
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if [ -f ".env" ]; then
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echo ".env file already exists. Skipping creation."
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else
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# Step 2: Create `.env` file and set OpenAI key
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if [ -z "$OPENAI_API_KEY" ]; then
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echo "Error: OPENAI_API_KEY environment variable is not set for the demo."
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exit 1
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fi
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echo "Creating .env file..."
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echo "OPENAI_API_KEY=$OPENAI_API_KEY" > .env
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echo ".env file created with OPENAI_API_KEY."
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fi
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# Step 3: Start Arch
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echo "Starting Arch with arch_config.yaml..."
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archgw up arch_config.yaml
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# Step 4: Start developer services
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echo "Starting Network Agent using Docker Compose..."
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docker compose up -d # Run in detached mode
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}
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# Function to stop the demo
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stop_demo() {
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# Step 1: Stop Docker Compose services
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echo "Stopping Network Agent using Docker Compose..."
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docker compose down
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# Step 2: Stop Arch
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echo "Stopping Arch..."
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archgw down
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}
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# Main script logic
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if [ "$1" == "down" ]; then
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stop_demo
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else
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# Default action is to bring the demo up
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start_demo
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fi
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Before Width: | Height: | Size: 673 KiB After Width: | Height: | Size: 673 KiB |
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@ -11,7 +11,7 @@ services:
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chatbot_ui:
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build:
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context: ../shared/chatbot_ui
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context: ../../shared/chatbot_ui
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ports:
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- "18080:8080"
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environment:
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@ -19,23 +19,3 @@ services:
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- CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1
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extra_hosts:
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- "host.docker.internal:host-gateway"
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volumes:
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- ./arch_config.yaml:/app/arch_config.yaml
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jaeger:
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build:
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context: ../shared/jaeger
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ports:
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- "16686:16686"
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- "4317:4317"
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- "4318:4318"
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prometheus:
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build:
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context: ../shared/prometheus
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grafana:
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build:
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context: ../shared/grafana
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ports:
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- "3000:3000"
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@ -2,7 +2,7 @@ services:
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chatbot_ui:
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build:
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context: ../shared/chatbot_ui
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context: ../../shared/chatbot_ui
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dockerfile: Dockerfile
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ports:
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- "18080:8080"
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@ -1,7 +1,7 @@
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services:
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chatbot_ui:
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build:
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context: ../shared/chatbot_ui
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context: ../../shared/chatbot_ui
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ports:
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- "18080:8080"
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environment:
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