Can you go over with me how I should be managing G...
# ask-ai
m
Can you go over with me how I should be managing GCS secrets if I want to egress into my GCS bucket with my LiveKit agent project?
t
Thanks for reaching out, Alexander. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Thanks — I’ll walk you through how to manage GCS secrets so your LiveKit agent can egress into your GCS bucket. I’ll cover the recommended steps, two ways to provide credentials to the agent, how to configure egress, and security best practices. Acknowledging your question: you want secure, practical guidance for storing and supplying Google Cloud credentials so LiveKit egress can write to your GCS bucket. 1) Create a service account and key • In Google Cloud Console → IAM & Admin → Service Accounts, create (or reuse) a service account. • Grant it the minimal role needed to write objects to your bucket (e.g., Storage Object Creator on that bucket). • Create and download a JSON key for that service account. Treat the JSON as highly sensitive. 2) Two safe ways to supply credentials to your LiveKit agent • Option A — Environment variable (recommended for most deployments) ◦ Upload the JSON key as a file in your deployment environment or secret manager. ◦ Set
GOOGLE_APPLICATION_CREDENTIALS
to the path of that JSON file in the agent’s environment. The Google Cloud libraries used by LiveKit plugins will pick this up automatically. ◦ In LiveKit Cloud you can store the JSON as a file-mounted secret and set the env var to the mounted path. • Option B — Pass credentials directly to the plugin (useful for programmatic/ephemeral credentials) ◦ Load the JSON into memory and pass it as
credentials_info
(a dict/object) or set
credentials_file="/path/to/key.json"
when constructing Google plugins (STT/TTS or other Google integrations) in the agent. ◦ Example: provide the JSON fields (type, project_id, private_key, client_email, etc.) to the plugin API so it authenticates without relying on env vars. 3) Configure egress to target GCS • When starting composite egress (TrackCompositeEgress or RoomCompositeEgress), specify the output bucket. • Use the S3-style output configuration but supply your GCS bucket name; access/secret fields can be left empty when using a service account credential. • Ensure the service account has Storage Object Creator permission for that bucket and any prefix you use. 4) Security best practices • Never commit the JSON key to source control. • Store the JSON in a secret store or file-mounted secret; avoid plaintext in code. • Use least privilege: grant only required permissions to the service account. • Rotate keys periodically and revoke old keys. • Prefer short-lived credentials or workload identity where possible (if you run in GKE/GCE, consider using Workload Identity or instance service accounts instead of long-lived JSON keys). If you’d like, tell me: • Where you run the agent (LiveKit Cloud, GKE, VM, etc.) so I can give exact steps for storing the file or setting the env var there. • Whether you prefer file-mounted secrets or passing credentials in code — I’ll provide the exact config/snippet for your environment. Sources: Google Gemini LLM plugin guide | LiveKit docs | Google Cloud TTS integration guide | LiveKit docs | Google Cloud STT plugin guide | LiveKit docs | server-sdk-ruby | livekit/livekit_composite | DeepWiki
m
Thoughts on the HMAC/S3-to-GCS path?
t
Thanks — responding about the HMAC / S3-to-GCS path and whether it’s a good fit for LiveKit egress. Quick summary: HMAC-based S3 interoperability with GCS works with LiveKit’s S3-style egress output, but HMAC keys are long‑lived credentials and carry higher risk than short‑lived or OAuth/service-account approaches. Use HMAC only if you need S3-compatible tooling and accept the tradeoffs. Recommendations and practical steps • If you choose HMAC: ◦ Scope it: grant write-only access to just the target bucket (limit to specific prefixes if possible). ◦ Rotate keys regularly and record rotations. ◦ Monitor usage via Cloud Audit Logs and alert on anomalous activity. ◦ Store keys in a secrets manager or file-mounted secret; never check into source control. • Prefer alternatives when possible: ◦ Service account JSON /
GOOGLE_APPLICATION_CREDENTIALS
(OAuth) for direct GCS uploads. ◦ Short‑lived credentials, signed URLs, or backend upload on
egress_ended
webhooks to avoid long‑lived keys. Questions to tailor guidance • Where does your agent run (LiveKit Cloud, GKE, GCE, VM)? I can give exact steps for secret storage and env var/config setup. • Do you need S3 compatibility for other tooling, or can you switch to direct GCS auth (service account or signed URLs)? Tell me those two details and I’ll give the exact configuration snippet and recommended IAM policy for your chosen path. Sources: Universal Egress | Data Processing Addendum | LiveKit | Server-side | livekit/livekit_composite | DeepWiki | server-sdk-ruby | livekit/livekit_composite | DeepWiki