refactor demos (#398)

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Salman Paracha 2025-02-07 18:45:42 -08:00 committed by GitHub
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This demo shows how you can use a publicly hosted rest api that is protected by an access key.
Before you start the demo make sure you set `OPENAI_API_KEY` and `TWELVEDATA_API_KEY`.
To get `TWELVEDATA_API_KEY` please head over to https://twelvedata.com/.
Following screenshot shows interaction with stock quote demo,
![alt text](stock_quote_demo.png)

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version: v0.1
listener:
address: 0.0.0.0
port: 10000
message_format: huggingface
connect_timeout: 0.005s
llm_providers:
- name: gpt-4o
access_key: $OPENAI_API_KEY
provider_interface: openai
model: gpt-4o
endpoints:
twelvedata_api:
endpoint: api.twelvedata.com
protocol: https
system_prompt: |
You are a helpful assistant.
prompt_guards:
input_guards:
jailbreak:
on_exception:
message: Looks like you're curious about my abilities, but I can only provide assistance for currency exchange.
prompt_targets:
- name: stock_quote
description: get current stock exchange rate for a given symbol
parameters:
- name: symbol
description: Stock symbol
required: true
type: str
endpoint:
name: twelvedata_api
path: /quote
http_headers:
Authorization: "apikey $TWELVEDATA_API_KEY"
system_prompt: |
You are a helpful stock exchange assistant. You are given stock symbol along with its exchange rate in json format. Your task is to parse the data and present it in a human-readable format. Keep the details to highlevel and be concise.
- name: stock_quote_time_series
description: get historical stock exchange rate for a given symbol
parameters:
- name: symbol
description: Stock symbol
required: true
type: str
- name: interval
description: Time interval
default: 1day
enum:
- 1h
- 1day
type: str
endpoint:
name: twelvedata_api
path: /time_series
http_headers:
Authorization: "apikey $TWELVEDATA_API_KEY"
system_prompt: |
You are a helpful stock exchange assistant. You are given stock symbol along with its historical data in json format. Your task is to parse the data and present it in a human-readable format. Keep the details to highlevel only and be concise.
tracing:
random_sampling: 100
trace_arch_internal: true

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services:
chatbot_ui:
build:
context: ../../shared/chatbot_ui
ports:
- "18080:8080"
environment:
# this is only because we are running the sample app in the same docker container environment as archgw
- CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1
extra_hosts:
- "host.docker.internal:host-gateway"
volumes:
- ./arch_config.yaml:/app/arch_config.yaml
jaeger:
build:
context: ../../shared/jaeger
ports:
- "16686:16686"
- "4317:4317"
- "4318:4318"

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#!/bin/bash
set -e
# Function to start the demo
start_demo() {
# Step 1: Check if .env file exists
if [ -f ".env" ]; then
echo ".env file already exists. Skipping creation."
else
# Step 2: Create `.env` file and set OpenAI key
if [ -z "$OPENAI_API_KEY" ]; then
echo "Error: OPENAI_API_KEY environment variable is not set for the demo."
exit 1
fi
echo "Creating .env file..."
echo "OPENAI_API_KEY=$OPENAI_API_KEY" > .env
echo ".env file created with OPENAI_API_KEY."
fi
# Step 3: Start Arch
echo "Starting Arch with arch_config.yaml..."
archgw up arch_config.yaml
# Step 4: Start developer services
echo "Starting Network Agent using Docker Compose..."
docker compose up -d # Run in detached mode
}
# Function to stop the demo
stop_demo() {
# Step 1: Stop Docker Compose services
echo "Stopping Network Agent using Docker Compose..."
docker compose down
# Step 2: Stop Arch
echo "Stopping Arch..."
archgw down
}
# Main script logic
if [ "$1" == "down" ]; then
stop_demo
else
# Default action is to bring the demo up
start_demo
fi

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