Google Cloud Storage Buckets

Log LLM Logs to Google Cloud Storage Buckets

:::info

✨ This is an Enterprise only feature Get Started with Enterprise here

:::

Usage

1. Add gcs_bucket to LiteLLM Config.yaml

model_list:
- litellm_params:
    api_base: https://openai-function-calling-workers.tasslexyz.workers.dev/
    api_key: my-fake-key
    model: openai/my-fake-model
  model_name: fake-openai-endpoint

litellm_settings:
  callbacks: ["gcs_bucket"] # 👈 KEY CHANGE # 👈 KEY CHANGE

2. Set required env variables

GCS_BUCKET_NAME="<your-gcs-bucket-name>"
GCS_PATH_SERVICE_ACCOUNT="/Users/ishaanjaffer/Downloads/adroit-crow-413218-a956eef1a2a8.json" # Add path to service account.json

3. Start Proxy

litellm --config /path/to/config.yaml

4. Test it!

curl --location 'http://0.0.0.0:4000/chat/completions' \\
--header 'Content-Type: application/json' \\
--data ' {
      "model": "fake-openai-endpoint",
      "messages": [
        {
          "role": "user",
          "content": "what llm are you"
        }
      ],
    }
'

Expected Logs on GCS Buckets

Fields Logged on GCS Buckets

The standard logging object is logged on GCS Bucket

Getting service_account.json from Google Cloud Console

1. Go to Google Cloud Console
2. Search for IAM & Admin
3. Click on Service Accounts
4. Select a Service Account
5. Click on 'Keys' -> Add Key -> Create New Key -> JSON
6. Save the JSON file and add the path to GCS_PATH_SERVICE_ACCOUNT

Support & Talk to Founders

• Schedule Demo 👋
• Community Discord 💭
• Our emails ✉️ ishaan@berri.ai / krrish@berri.ai