Tags: google/agents-cli

Release v1.3.1

- Add agent-plugins.org plugin manifest
- Smarter backoff handling for CICD command
- Rollback to npx skills 1.5.9 to avoid a spurious error message during `setup`
  - #59

Release v1.3.0

- Update to use A2A 1.0 throughout, with a compatibility layer for A2A 0.3 clients
- Improve retry for Cloud Run deploy
- Streamline retry handing for `infra cicd` command
- Fix `npx skills` output formatting during setup and update
- Print Cloud Logging URL at Agent Runtime deploy start
- Add --concurrency and --header flags to eval generate/run
- Tweak messages around `--session-type` when used with `agent_runtime`

Release v1.2.1

- Fix an import problem on `uv sync` caused by a yanked `opentelemetry-resourcedetector-gcp` version
- Add optional HTTP-based path for `eval generate` using `--url` (in-progress feature, stay tuned)

Release v1.2.0

- **Cloud telemetry moved to ADK's `otel_to_cloud`, across the CLI and deploys.** `playground` and `run` gain an `--otel-to-cloud` flag that forwards ADK's current `--otel_to_cloud`; the old `--trace-to-cloud` stays as a hidden, still-functional alias that warns when used. On the deployment side, Agent Runtime now exports through `otel_to_cloud` (gated on `GOOGLE_CLOUD_AGENT_ENGINE_ENABLE_TELEMETRY`) and generated projects configure Cloud telemetry declaratively in Terraform instead of at runtime. Bundled `google-adk` moves to `>=2.2.0` with the `otel-gcp` extra, and the observability skill was updated to match.
- Scaffolds now default to `gemini-3.6-flash`.
- **Agent Analytics now captures GenAI completions on Agent Runtime.** The BigQuery telemetry log sink is configured per deployment target, so Agent Runtime deployments route their GenAI request/response logs into BigQuery instead of leaving the completions view empty.
- **Managed Agents guidance in the ADK code skill.** The bundled ADK cheatsheet gained a Managed Agents section covering when to use `ManagedAgent`, Gemini API vs Agent Platform (GEAP) setup, and a runnable create-and-use example.

Release v1.1.0

- **Guided brainstorming for new agents.** The workflow skill's Phase 0 is now an interactive brainstorming dialogue that helps you shape an agent's spec before any code is written, and surfaces its assumptions for review when it can't ask.
- `eval generate` and `eval grade` no longer clutter output with benign third-party warnings and progress bars that never affected results. This output is still shown on failure and can be re-enabled for debugging.
- Generated projects now name the default scaffolded eval metric module `tests/eval/response_quality.py` (was `metrics.py`) to match the metric it implements.
- Broad Windows compatibility fixes across the CLI.
- Fixed a command-name typo in user-facing hints so they point to the correct `agents-cli` command.
- Refreshed the bundled skills, including pointing the RAG samples at `core/python/` in `google/adk-samples`.

Release v1.0.0

**Agents CLI is now 1.0 — Generally Available.** This is our first GA release: a stable, production-ready CLI for scaffolding, evaluating, and deploying ADK agents on Google Cloud.

- Redeploys now preserve the existing deployment spec on Agent Runtime and Cloud Run instead of resetting unspecified settings.
- Agent Runtime deploys now honor `.gcloudignore` and `.gitignore` when packaging source, so uploads no longer include ignored files.
- RAG is now a clone-and-study recipe: start from the `rag-vector-search` / `rag-agent-search` samples in `google/adk-samples` (surfaced via the workflow skill). The `agentic_rag` template, the `--datastore` flag, and the `infra datastore` / `data-ingestion` commands were removed and now print a redirect.
- Generated projects now consolidate Python environment configuration into a single templated `.env` file.
- Eval commands now tolerate ADK toolsets when introspecting eval metadata, so agents that use toolsets no longer fail metadata collection.
- GKE Cloud Build deploys are now resilient to log-streaming limits and no longer fail when the build log stream is truncated.
- Refreshed the bundled skills: RAG samples point to `core/` on adk-samples `main`, the always-active workflow skill was generalized and trimmed, and the ADK code guidance notes `streaming_agent_run_with_events` for debugging on Agent Runtime.

Release v0.6.1

- `publish gemini-enterprise` now registers Agent Runtime deployments via ADK by default, which Gemini Enterprise invokes natively and reliably. A2A registration remains the default for Cloud Run and GKE; requesting A2A on Agent Runtime now warns and recommends ADK. Re-publishing an A2A agent no longer creates duplicate registrations, and A2A agent cards now carry the correct public URL on the first deploy.
- `agents-cli update` now exits non-zero and clearly reports when a skill fails to update, instead of always printing a misleading green "Skills updated." banner. Also fixes failure messages rendering in the wrong color on Windows PowerShell.
- Refreshed the generated project `uv.lock` files for all templated agents, updating bundled `google-adk` from 2.2.0 to 2.3.0.

Release v0.6.0

- Agent Runtime deploys now serve ADK web, A2A, and the reasoning engine from a single unified container app.
- Cloud Trace spans no longer capture LLM prompts and responses, keeping sensitive content out of traces.
- Refreshed the bundled skills: correctness fixes, de-duplication, and a leaner always-active workflow guide, plus a2ui documented in the ADK code cheatsheet.

Release v0.5.1

- Fixed run and playground commands on Windows
  - #34
  - #35
  - Thanks to @Abdullah-k0de for discovering and reporting these!
- Fixed stale GCS bucket in failure-investigation guide
- Added Agent Registry fleet management to publish skill

Release v0.5.0

- chore(deps): bump @grpc/grpc-js
- Update publish script to mirror and publish source
- Smart fixture to find tests broken by pyfakefs / patching conflicts
- fix: don't tear down a reused local server on a plain run
- fix: upgrade builds the prior-version template via uvx
- docs: fix pre-existing inaccuracies in skills and generated READMEs
- Make publish script a bit more robust
- fix: only announce the project root when chdir actually moves
- feat: print a copy-pasteable resume command in the run session footer
- feat: surface machine-shape params as deploy flags (Agent Runtime + Cloud Run)
- feat(deploy): add --service-name override
- Refactor for more consistent project resolution
- fix: drain npx stderr concurrently to avoid pipe-buffer deadlock
- docs: codify recurring review feedback in agent guidance
- Clean up remaining adk_live stuff