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docs: correct fabricated google-adk + gemini-cli runtime tutorials #2004

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core-lead merged 1 commits from fix/google-adk-runtime-doc-accuracy into main 2026-05-29 06:26:27 +00:00
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docs/tutorials/gemini-cli-runtime.md
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# Running a Gemini CLI Workspace on Molecule AI
> **⚠️ Accuracy correction (2026-05-29):** this page is **aspirational, not
> shipped.** There is **no `gemini-cli` runtime** in `manifest.json` or the
> provisioner's `knownRuntimes`, and the "PR #379" cited below is unrelated (a
> CI-workflow-cleanup PR, not a gemini-cli adapter). Do not follow this as-is.
>
> **For Gemini on Molecule, use the real `google-adk` runtime instead** — see
> [`google-adk-runtime.md`](./google-adk-runtime.md) (ADK engine + Gemini on
> Vertex AI/AI Studio), implemented in PR
> [`molecule-ai-workspace-template-google-adk#1`](https://git.moleculesai.app/molecule-ai/molecule-ai-workspace-template-google-adk) per RFC `internal#730`.
> This gemini-cli page is retained only until it's either implemented for real or removed.
Molecule AI now ships a `gemini-cli` runtime adapter alongside the existing `claude-code` adapter. This tutorial walks you from zero to a running Gemini agent workspace in under five minutes.
## What you'll need
docs/tutorials/google-adk-runtime.md
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# Running a Google ADK Workspace on Molecule AI
Google's Agent Development Kit (ADK) is now a first-class runtime on Molecule AI. This tutorial walks you from zero to a running ADK agent workspace — one that persists per-conversation session state and sits alongside your Claude Code and Gemini CLI workers in the same A2A network.
> **Status (2026-05-29):** the `google-adk` runtime is **landing**, not yet on
> `main`. It's implemented in the template repo
> [`molecule-ai-workspace-template-google-adk`](https://git.moleculesai.app/molecule-ai/molecule-ai-workspace-template-google-adk)
> (PR **#1**) with platform registration in molecule-core PR **#2003** and the
> validator allowlist in molecule-ci PR **#26**. Design + approval: RFC
> [`internal#730`](https://git.moleculesai.app/molecule-ai/internal/issues/730).
> Remove this banner once those PRs merge.
>
> **Doc-accuracy note:** a prior version of this page claimed ADK was "already
> first-class" and cited "PR #550" — that PR is unrelated (a MemoryTab test
> suite). No `google-adk` adapter existed at that time. This rewrite reflects
> the real implementation.
## What you'll need
Google's Agent Development Kit (ADK) runs as a Molecule AI workspace runtime:
ADK is the **agent engine** (`LlmAgent` + `Runner`), and the workspace
participates in Molecule's A2A org like any other runtime.
- A Molecule AI account with at least one provisioned tenant
- A `GOOGLE_API_KEY` from [aistudio.google.com](https://aistudio.google.com) (or Vertex AI credentials — see below)
- `curl` + `jq`
## How it actually works
## Setup
- **ADK = engine only.** The adapter builds an ADK `LlmAgent` from the
workspace config (model + system prompt + tools) and drives its `Runner`.
It installs `google-adk[mcp]==2.1.0` and **never** the `[a2a]` extra — ADK's
a2a layer pins `a2a-sdk<0.4`, which is incompatible with the platform's
`a2a-sdk>=1.0`. (Verified: `google-adk[mcp]==2.1.0` + `a2a-sdk 1.0.3` coexist.)
- **A2A** is provided by the platform's a2a-1.x server; a Molecule-authored
executor bridges ADK's `Runner` event stream onto it, one ADK session per
A2A `context_id`.
- **Tools** reach the agent via ADK's native `McpToolset` pointed at the
workspace's `a2a_mcp_server` — the same MCP surface the CLI runtimes use
(`delegate_task`, `commit_memory`, `list_peers`, …). No LangChain.
## Auth — Vertex AI via ADC (keyless), or an AI Studio key
The runtime supports both google-genai auth paths:
- **Vertex AI + Application Default Credentials (recommended; required if your
org disallows API keys).** Set `model: vertex:gemini-2.5-pro` and provide
`GOOGLE_CLOUD_PROJECT`; the adapter sets `GOOGLE_GENAI_USE_VERTEXAI=1` and
google-genai authenticates via ADC — no API key. (Locally:
`gcloud auth application-default login`.)
- **AI Studio API key** (where your org permits API keys): set
`model: google_genai:gemini-2.5-pro` and `GOOGLE_API_KEY`.
## Create a workspace
```bash
# 1. Store your Google API key as a global secret
curl -s -X PUT http://localhost:8080/settings/secrets \
-H "Content-Type: application/json" \
-d '{"key":"GOOGLE_API_KEY","value":"YOUR-AI-STUDIO-KEY"}' | jq .
# 2. Create a google-adk workspace
WS=$(curl -s -X POST http://localhost:8080/workspaces \
# Vertex AI + ADC (keyless)
curl -s -X POST http://localhost:8080/workspaces \
-H "Content-Type: application/json" \
-d '{
"name": "adk-agent",
"role": "Google ADK inference worker",
"runtime": "google-adk",
"model": "google:gemini-2.0-flash"
}' | jq -r '.id')
echo "Workspace: $WS"
# 3. Wait for ready (~30s)
until curl -s http://localhost:8080/workspaces/$WS | jq -r '.status' | grep -q ready; do
echo "Waiting..."; sleep 5
done
# 4. Send your first task
curl -s -X POST http://localhost:8080/workspaces/$WS/a2a \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":"1","method":"message/send",
"params":{"message":{"role":"user","parts":[{"kind":"text",
"text":"Summarise the ADK architecture in 3 bullet points."}]}}}' \
| jq '.result.parts[0].text'
# 5. Multi-turn — session state is preserved across calls
curl -s -X POST http://localhost:8080/workspaces/$WS/a2a \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":"2","method":"message/send",
"params":{"message":{"role":"user","parts":[{"kind":"text",
"text":"Now give me a one-line TL;DR of what you just said."}]}}}' \
| jq '.result.parts[0].text'
# 6. Vertex AI alternative — set these instead of GOOGLE_API_KEY
# curl -X PUT .../secrets -d '{"key":"GOOGLE_GENAI_USE_VERTEXAI","value":"1"}'
# curl -X PUT .../secrets -d '{"key":"GOOGLE_CLOUD_PROJECT","value":"my-project"}'
# curl -X PUT .../secrets -d '{"key":"GOOGLE_CLOUD_LOCATION","value":"us-central1"}'
"model": "vertex:gemini-2.5-pro",
"runtime_config": {"required_env": ["GOOGLE_CLOUD_PROJECT"]}
}'
```
## Expected output
After step 4, ADK streams the Gemini response through its event bus, filters for `is_final_response()` events, and returns the agent's reply as a standard A2A text part. Step 5 should reference the prior answer — the adapter ties each A2A `context_id` to an `InMemorySessionService` session, so conversation state is isolated per task context and survives across calls within the same session.
## How it works
The `google-adk` adapter wraps Google ADK's runner/session model behind the same `AgentExecutor` interface used by every other Molecule AI runtime. On each turn, `GoogleADKA2AExecutor` calls `runner.run_async()` with the incoming message wrapped in a `google.genai.types.Content` object, then drains the event stream until it collects a final-response event. The `google:` model prefix is stripped before being passed to ADK — so `google:gemini-2.0-flash` in your workspace config becomes `gemini-2.0-flash` in the ADK `LlmAgent`. Error class names are sanitized before leaving the executor; raw Google SDK stack traces never reach the A2A caller.
## Mixed-runtime teams
ADK workspaces participate in the same A2A network as Claude Code, Gemini CLI, Hermes, and LangGraph workers. An orchestrator can delegate long-context summarisation to a `google-adk` worker (Gemini 1.5 Pro's 1M token window) while routing tool-use tasks to a `claude-code` worker — with no provider-specific code in the orchestrator itself. Add an ADK peer with `POST /workspaces`, set `GOOGLE_API_KEY`, and it's available for `delegate_task` immediately.
Send it a task via the A2A proxy (`POST /workspaces/:id/a2a`, JSON-RPC
`message/send`) and it replies through the ADK `Runner`. Verified end-to-end:
a Gemini 2.5 round-trip on Vertex via ADC returns through the built image.
## Related
- PR #550: [feat(adapters): add google-adk runtime adapter](https://git.moleculesai.app/molecule-ai/molecule-core/pull/550)
- Template + adapter: [`molecule-ai-workspace-template-google-adk`](https://git.moleculesai.app/molecule-ai/molecule-ai-workspace-template-google-adk) (PR #1)
- Platform registration: molecule-core PR #2003 · validator: molecule-ci PR #26
- Design/approval: RFC [`internal#730`](https://git.moleculesai.app/molecule-ai/internal/issues/730)
- [Google ADK (adk-python)](https://github.com/google/adk-python)
- [Gemini CLI runtime tutorial](./gemini-cli-runtime.md)
- [Platform API reference](../api-reference.md)