Release notes from agents-cli
Articles about Release notes from agents-cli
Release v1.10.0
Release v1.10.0 New projects use Agent Identity by default. agents-cli scaffold create records agent_runtime_identity_default: agent_identity. Then agents-cli deploy creates the Agent Runtime agent under its own Agent Identity principal, and the generated Terraform (infra single-project, infra cicd) does the same. To keep a service account, pass --agent-runtime-identity-default service_account to scaffold create or scaffold enhance.
Release v1.9.0
Release v1.9.0 Usage telemetry is now on by default. Each command writes one log entry to your own Google Cloud project with the command name, exit code, error class, duration, and CLI, Python and OS versions, never arguments or file contents. Its purpose is to provide users with analytics regarding their tool use, process efficiency, and help diagnose potential issues. The request also sends Google the CLI, Python and OS versions, CPU architecture and command name for usage analytics; no sensitive data is sent.
Release v1.8.0
Release v1.8.0 New flag foragents-cli scaffold upgrade: --force. A fallback for when the 3-way merge cannot run or leaves too many conflicts, similar to the existing flag for agents-cli scaffold enhance. It generates only the new template and overwrites the scaffolding files: Agent code, config files and files you own are kept: your tests, custom eval metrics, eval datasets, READMEs, agent guidance files, .gitignore, deployment_metadata.json and Terraform env.tfvars files. Dependencies are merged as a union.
Release v1.7.0
Release v1.7.0 Live (voice) agents now work in run and eval. Pass --mode adk_live wherever you already pass --mode adk: agents-cli run --mode adk_live sends a prompt over ADK's /run_live WebSocket, against a local server or any deployment target. A turn that answers only in audio says so instead of printing nothing. agents-cli eval generate and agents-cli eval run play each case over one persistent Live socket, with the same dataset format, trace output and grading as the SSE path.
Release v1.6.1
Release v1.6.1 ADK Go is now available to everyone (Preview). The adk_go template ("Go agent with A2A") now appears in agents-cli scaffold create with no experiment override, and Go projects get the toolchain Python already has: Deploy to Agent Runtime, Cloud Run and GKE, with session methods exposed to agent_engines.get() clients. CloudSQL, Agent Platform and in-memory session services. Prompts and responses in BigQuery Agent Analytics, and telemetry through OTLP. CI/CD templates at parity with Python.