Adding files to deploy CodeGen application on AMD GPU (#1130)
Signed-off-by: Chingis Yundunov <YundunovCN@sibedge.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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CodeGen/docker_compose/amd/gpu/rocm/README.md
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CodeGen/docker_compose/amd/gpu/rocm/README.md
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# Build and deploy CodeGen Application on AMD GPU (ROCm)
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## Build images
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### Build the LLM Docker Image
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```bash
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### Cloning repo
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git clone https://github.com/opea-project/GenAIComps.git
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cd GenAIComps
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### Build Docker image
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docker build -t opea/llm-tgi:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/llms/text-generation/tgi/Dockerfile .
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```
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### Build the MegaService Docker Image
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```bash
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### Cloning repo
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git clone https://github.com/opea-project/GenAIExamples
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cd GenAIExamples/CodeGen
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### Build Docker image
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docker build -t opea/codegen:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
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```
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### Build the UI Docker Image
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```bash
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cd GenAIExamples/CodeGen/ui
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### Build UI Docker image
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docker build -t opea/codegen-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile .
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### Build React UI Docker image (React UI allows you to use file uploads)
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docker build --no-cache -t opea/codegen-react-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile.react .
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```
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It is recommended to use the React UI as it works for downloading files. The use of React UI is set in the Docker Compose file
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## Deploy CodeGen Application
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### Features of Docker compose for AMD GPUs
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1. Added forwarding of GPU devices to the container TGI service with instructions:
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```yaml
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shm_size: 1g
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devices:
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- /dev/kfd:/dev/kfd
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- /dev/dri/:/dev/dri/
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cap_add:
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- SYS_PTRACE
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group_add:
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- video
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security_opt:
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- seccomp:unconfined
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```
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In this case, all GPUs are thrown. To reset a specific GPU, you need to use specific device names cardN and renderN.
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For example:
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```yaml
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shm_size: 1g
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devices:
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- /dev/kfd:/dev/kfd
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- /dev/dri/card0:/dev/dri/card0
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- /dev/dri/render128:/dev/dri/render128
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cap_add:
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- SYS_PTRACE
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group_add:
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- video
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security_opt:
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- seccomp:unconfined
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```
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To find out which GPU device IDs cardN and renderN correspond to the same GPU, use the GPU driver utility
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### Go to the directory with the Docker compose file
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```bash
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cd GenAIExamples/CodeGen/docker_compose/amd/gpu/rocm
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```
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### Set environments
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In the file "GenAIExamples/CodeGen/docker_compose/amd/gpu/rocm/set_env.sh " it is necessary to set the required values. Parameter assignments are specified in the comments for each variable setting command
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```bash
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chmod +x set_env.sh
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. set_env.sh
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```
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### Run services
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```
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docker compose up -d
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```
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# Validate the MicroServices and MegaService
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## Validate TGI service
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```bash
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curl http://${HOST_IP}:${CODEGEN_TGI_SERVICE_PORT}/generate \
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-X POST \
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-d '{"inputs":"Implement a high-level API for a TODO list application. The API takes as input an operation request and updates the TODO list in place. If the request is invalid, raise an exception.","parameters":{"max_new_tokens":256, "do_sample": true}}' \
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-H 'Content-Type: application/json'
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```
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## Validate LLM service
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```bash
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curl http://${HOST_IP}:${CODEGEN_LLM_SERVICE_PORT}/v1/chat/completions\
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-X POST \
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-d '{"query":"Implement a high-level API for a TODO list application. The API takes as input an operation request and updates the TODO list in place. If the request is invalid, raise an exception.","max_tokens":256,"top_k":10,"top_p":0.95,"typical_p":0.95,"temperature":0.01,"repetition_penalty":1.03,"streaming":true}' \
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-H 'Content-Type: application/json'
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```
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## Validate MegaService
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```bash
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curl http://${HOST_IP}:${CODEGEN_BACKEND_SERVICE_PORT}/v1/codegen -H "Content-Type: application/json" -d '{
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"messages": "Implement a high-level API for a TODO list application. The API takes as input an operation request and updates the TODO list in place. If the request is invalid, raise an exception."
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}'
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```
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CodeGen/docker_compose/amd/gpu/rocm/compose.yaml
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CodeGen/docker_compose/amd/gpu/rocm/compose.yaml
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# Copyright (C) 2024 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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services:
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codegen-tgi-service:
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image: ghcr.io/huggingface/text-generation-inference:2.3.1-rocm
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container_name: codegen-tgi-service
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ports:
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- "${CODEGEN_TGI_SERVICE_PORT:-8028}:80"
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volumes:
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- "/var/lib/GenAI/data:/data"
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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HUGGING_FACE_HUB_TOKEN: ${CODEGEN_HUGGINGFACEHUB_API_TOKEN}
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HUGGINGFACEHUB_API_TOKEN: ${CODEGEN_HUGGINGFACEHUB_API_TOKEN}
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shm_size: 1g
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devices:
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- /dev/kfd:/dev/kfd
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- /dev/dri/:/dev/dri/
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cap_add:
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- SYS_PTRACE
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group_add:
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- video
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security_opt:
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- seccomp:unconfined
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ipc: host
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command: --model-id ${CODEGEN_LLM_MODEL_ID} --max-input-length 1024 --max-total-tokens 2048
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codegen-llm-server:
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image: ${REGISTRY:-opea}/llm-tgi:${TAG:-latest}
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container_name: codegen-llm-server
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depends_on:
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- codegen-tgi-service
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ports:
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- "${CODEGEN_LLM_SERVICE_PORT:-9000}:9000"
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ipc: host
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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TGI_LLM_ENDPOINT: "http://codegen-tgi-service"
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HUGGINGFACEHUB_API_TOKEN: ${CODEGEN_HUGGINGFACEHUB_API_TOKEN}
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restart: unless-stopped
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codegen-backend-server:
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image: ${REGISTRY:-opea}/codegen:${TAG:-latest}
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container_name: codegen-backend-server
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depends_on:
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- codegen-llm-server
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ports:
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- "${CODEGEN_BACKEND_SERVICE_PORT:-7778}:7778"
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environment:
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no_proxy: ${no_proxy}
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https_proxy: ${https_proxy}
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http_proxy: ${http_proxy}
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MEGA_SERVICE_HOST_IP: ${CODEGEN_MEGA_SERVICE_HOST_IP}
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LLM_SERVICE_HOST_IP: "codegen-llm-server"
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ipc: host
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restart: always
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codegen-ui-server:
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image: ${REGISTRY:-opea}/codegen-ui:${TAG:-latest}
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container_name: codegen-ui-server
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depends_on:
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- codegen-backend-server
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ports:
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- "${CODEGEN_UI_SERVICE_PORT:-5173}:5173"
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environment:
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no_proxy: ${no_proxy}
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https_proxy: ${https_proxy}
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http_proxy: ${http_proxy}
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BASIC_URL: ${CODEGEN_BACKEND_SERVICE_URL}
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BACKEND_SERVICE_ENDPOINT: ${CODEGEN_BACKEND_SERVICE_URL}
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ipc: host
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restart: always
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networks:
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default:
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driver: bridge
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37
CodeGen/docker_compose/amd/gpu/rocm/set_env.sh
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CodeGen/docker_compose/amd/gpu/rocm/set_env.sh
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#!/usr/bin/env bash
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# Copyright (C) 2024 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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### The IP address or domain name of the server on which the application is running
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export HOST_IP=direct-supercomputer1.powerml.co
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### The port of the TGI service. On this port, the TGI service will accept connections
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export CODEGEN_TGI_SERVICE_PORT=8028
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### A token for accessing repositories with models
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export CODEGEN_HUGGINGFACEHUB_API_TOKEN=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
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### Model ID
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export CODEGEN_LLM_MODEL_ID="Qwen/Qwen2.5-Coder-7B-Instruct"
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### The port of the LLM service. On this port, the LLM service will accept connections
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export CODEGEN_LLM_SERVICE_PORT=9000
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### The endpoint of the TGI service to which requests to this service will be sent (formed from previously set variables)
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export CODEGEN_TGI_LLM_ENDPOINT="http://${HOST_IP}:${CODEGEN_TGI_SERVICE_PORT}"
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### The IP address or domain name of the server for CodeGen MegaService
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export CODEGEN_MEGA_SERVICE_HOST_IP=${HOST_IP}
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### The port for CodeGen backend service
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export CODEGEN_BACKEND_SERVICE_PORT=18150
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### The URL of CodeGen backend service, used by the frontend service
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export CODEGEN_BACKEND_SERVICE_URL="http://${HOST_IP}:${CODEGEN_BACKEND_SERVICE_PORT}/v1/codegen"
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### The endpoint of the LLM service to which requests to this service will be sent
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export CODEGEN_LLM_SERVICE_HOST_IP=${HOST_IP}
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### The CodeGen service UI port
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export CODEGEN_UI_SERVICE_PORT=18151
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