CodeGen¶

Helm chart for deploying CodeGen service.

CodeGen depends on LLM and tgi microservice, refer to llm-uservice and tgi for more config details.

Installing the Chart¶

To install the chart, run the following:

cd GenAIInfra/helm-charts/
./update_dependency.sh
helm dependency update codegen
export HFTOKEN="insert-your-huggingface-token-here"
export MODELDIR="/mnt/opea-models"
export MODELNAME="Qwen/Qwen2.5-Coder-7B-Instruct"
# To use CPU with vLLM
helm install codegen codegen --set global.HUGGINGFACEHUB_API_TOKEN=${HFTOKEN} --set global.modelUseHostPath=${MODELDIR} --set llm-uservcie.LLM_MODEL_ID=${MODELNAME} --set vllm.LLM_MODEL_ID=${MODELNAME} -f cpu-values.yaml
# To use CPU with TGI
# helm install codegen codegen --set global.HUGGINGFACEHUB_API_TOKEN=${HFTOKEN} --set global.modelUseHostPath=${MODELDIR} --set llm-uservcie.LLM_MODEL_ID=${MODELNAME} --set tgi.LLM_MODEL_ID=${MODELNAME} -f cpu-tgi-values.yaml
# To use Gaudi device with vLLM
# helm install codegen codegen --set global.HUGGINGFACEHUB_API_TOKEN=${HFTOKEN} --set global.modelUseHostPath=${MODELDIR} --set llm-uservcie.LLM_MODEL_ID=${MODELNAME} --set vllm.LLM_MODEL_ID=${MODELNAME} -f gaudi-values.yaml
# To use Gaudi device with TGI
# helm install codegen codegen --set global.HUGGINGFACEHUB_API_TOKEN=${HFTOKEN} --set global.modelUseHostPath=${MODELDIR} --set llm-uservcie.LLM_MODEL_ID=${MODELNAME} --set tgi.LLM_MODEL_ID=${MODELNAME} -f gaudi-tgi-values.yaml

IMPORTANT NOTE¶

Make sure your MODELDIR exists on the node where your workload is schedueled so you can cache the downloaded model for next time use. Otherwise, set global.modelUseHostPath to ‘null’ if you don’t want to cache the model.

Verify¶

To verify the installation, run the command kubectl get pod to make sure all pods are running.

Curl command and UI are the two options that can be leveraged to verify the result.

Verify the workload through curl command¶

Then run the command kubectl port-forward svc/codegen 7778:7778 to expose the service for access.

Open another terminal and run the following command to verify the service if working:

curl http://localhost:7778/v1/codegen \
    -H "Content-Type: application/json" \
    -d '{"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."}'

Verify the workload through UI¶

The UI has already been installed via the Helm chart. To access it, use the external IP of one your Kubernetes node along with the NGINX port. You can find the NGINX port using the following command:

export port=$(kubectl get service codegen-nginx --output='jsonpath={.spec.ports[0].nodePort}')
echo $port

Open a browser to access http://<k8s-node-ip-address>:${port} to play with the ChatQnA workload.

Values¶

Key	Type	Default	Description
image.repository	string	`"opea/codegen"`
service.port	string	`"7778"`
tgi.LLM_MODEL_ID	string	`"Qwen/Qwen2.5-Coder-7B-Instruct"`	Models id from https://huggingface.co/, or predownloaded model directory
global.monitoring	bool	`false`	Enable usage metrics for the service components. See ../monitoring.md before enabling!