At Helicone we believe that open-source software makes the world a better place. We are committed to open-source and we made a guide to make it easy for you to deploy your own instance of Helicone.

Running locally

Running Helicone locally should be super easy. Just a few scripts.

Please clone our Repo and follow the instructions below.

git clone git@github.com:Helicone/helicone.git
cd helicone

Step 1 - Install all the things

Requirements

  • Docker

Install Supabase

brew install supabase/tap/supabase

Install Wrangler and Yarn

nvm install 18.11.0
nvm use 18.11.0
npm install -g wrangler
npm install -g yarn

Step 2 - Start all the services

Start Supabase

supabase start

Start Clickhouse

# This will start clickhouse locally
python3 clickhouse/ch_hcone.py --start

Start Workers

# Install worker dependencies
cd worker
yarn
# Start All Workers
chmod +x run_all_workers.sh
./run_all_workers

Start Jawn (Serves Web)

cd valhalla/jawn
yarn && yarn dev

Start Web

cd web
yarn
yarn dev

Step 3 - Setup your instance

You are done!

curl --request POST \
  --url http://127.0.0.1:8787/v1/chat/completions \
  --header 'Authorization: Bearer <OPENAI_KEY>' \
  --header 'Helicone-Auth: Bearer sk-helicone-aizk36y-5yue2my-qmy5tza-n7x3aqa' \
  --header 'Content-Type: application/json' \
  --header 'OpenAI-Organization: ' \
  --header 'helicone-property-hello: world' \
  --data '{
    "model": "gpt-3.5-turbo-0613",
    "messages": [
        {
            "role": "system",
            "content": "generate a prompt for stable diffusion using this article.\n The prompt should instruct the image generation model to generate a image that would be suitable for the main image of the article.\n Therefore, the image should be relevant to the article, while being photorealistic, and safe for work.\n Only include the prompt, and do not include a introduction to the prompt. The entire prompt should be 90 characters or less. Make it as relevant to the image as possible, but do not include people or faces in the prompt."
        }
    ]
}'

You can login to Helicone at http://localhost:3000 with the following credentials:

User: test@helicone.ai Password: password

Change the Org to Organization for Test and then you should be able to see your requests!

Please do not hesitate to reach out on discord if you have any questions.