Gemini CLI

gemini_local runs Google's Gemini CLI on the same machine as Paperclip. Use it when you want a local agent with session resume, configurable sandboxing, and Paperclip skills injected into Gemini's skills directory.

When To Use

• Gemini CLI is installed on the host machine.
• You want the agent to resume the same Gemini session across heartbeats.
• You want Paperclip to manage skills locally without polluting the project directory.
• You want an adapter that can authenticate through API keys or Gemini CLI login.

When Not To Use

• The agent runs behind a webhook or remote API. Use HTTP.
• You only need a command runner or script. Use Process.
• Gemini CLI is not installed or cannot reach the target working directory.

Running in Docker? The official Paperclip image pre-bundles the Gemini CLI alongside the other local CLIs, so gemini_local works in-container without a manual install. The image also sets GEMINI_SANDBOX=false for safe in-container use. You still need to supply credentials — see Docker.

Common Fields

Note: Gemini CLI uses --output-format stream-json for readiness checks and resumes sessions with --resume when the stored session cwd still matches the current cwd. It passes your prompt with --prompt for non-interactive runs (not through stdin), and it sets a headless-safe terminal and browser environment for the Gemini CLI child process so unattended runs never stall waiting on browser auth or a colour-terminal prompt.

ACP Engine

Gemini can run through one of two engines — ACP or the classic Gemini CLI — selected by the engine field:

• auto (default) — ACP. Paperclip runs Gemini through the Agent Client Protocol (ACP). If the host doesn't meet the ACP prerequisites, the run fails with a setup error explaining why — Paperclip never switches engines on its own.
• acp — always ACP. Force the Agent Client Protocol path.
• cli — always the Gemini CLI. Force the classic CLI wrapper and skip ACP entirely.

ACP gives you a richer, structured live transcript: session identity, status with context-window usage, assistant and thinking token deltas, and tool-call updates that fold into a single card as they progress. That extra detail is most useful when you're watching a sandbox run stream in.

When the engine resolves to ACP (auto or acp), these extra fields apply:

Heads-up: ACP is where the old standalone acpx_local adapter's capabilities now live. That adapter has been retired — pick gemini_local (or claude_local / codex_local) and leave engine on auto to get ACP by default.

ACP in sandbox environments

You can keep engine on auto when this agent runs in a Paperclip sandbox environment. If that sandbox provides Paperclip's bidirectional process session, Paperclip keeps the ACP engine and its structured live transcript; you do not add a separate bridge setting to the adapter config.

An environment that only runs one-shot commands cannot host an ACP session, so an auto run there fails with a setup error rather than switching to the Gemini CLI. Set engine: "cli" when you want the CLI lane — for example on such environments.

Models

Pick a Gemini model id in the model field. The known options are:

• auto (the adapter default — Gemini CLI picks the model)
• gemini-3.1-pro-preview
• gemini-3.1-pro-preview-customtools
• gemini-3.8-flash
• gemini-3.7-flash
• gemini-3.6-flash
• gemini-3.5-flash
• gemini-3.5-flash-lite
• gemini-3.1-flash-lite
• gemini-3-flash-preview
• gemini-2.5-pro
• gemini-2.5-flash
• gemini-2.5-flash-lite

The older gemini-2.0-flash and gemini-2.0-flash-lite entries have been dropped from the list. You can still type any model id your Gemini CLI accepts.

Session Persistence

The adapter stores Gemini session ids between heartbeats and resumes them on the next wake.

If the working directory changed, the adapter starts a fresh session instead of trying to resume the old one.

If Gemini reports an unknown session error, Paperclip retries with a new session automatically.

If a resumed session grows past the model's token budget — Gemini reports that the input exceeds the maximum number of tokens — the adapter treats the old session as unrecoverable and retries once with a fresh session instead of failing the run. Expect this on long-running agents whose conversation history eventually outgrows the context window.

Headless Auth

Gemini CLI refuses non-interactive runs unless an auth method is persisted in ~/.gemini/settings.json, and the GEMINI_DEFAULT_AUTH_TYPE environment variable alone does not satisfy this. To keep headless runs from stalling on the interactive auth-method prompt, the adapter pre-selects the API-key auth method for you when it manages the run's home directory and an API key (GEMINI_API_KEY or GOOGLE_API_KEY) is present. It writes selectedAuthType: "gemini-api-key" to that settings.json and leaves any existing settings.json untouched.

This pre-selection only applies to runs where Paperclip provisions a managed home directory (remote execution targets). For ordinary local runs the adapter uses your real home directory, where your existing Gemini auth is already in place.

Skills Injection

Gemini CLI symlinks Paperclip skills into ~/.gemini/skills.

The adapter does not overwrite existing user skills. It only exposes the Paperclip-managed skills it needs for the run.

Environment Test

The Test Environment button checks:

• Gemini CLI is installed and executable.
• The working directory is absolute and usable.
• Authentication is available through GEMINI_API_KEY, GOOGLE_API_KEY, Google account login, or Gemini's CLI auth.
• The hello probe can run gemini --output-format json "Respond with hello."

The hello probe runs in the same unattended yolo approval mode that real runs use, unless you set approvalMode or turn yolo off.

The test also detects auth and quota failures, so a passing install check does not automatically mean the account can still run work.

Example

{
  "adapterType": "gemini_local",
  "adapterConfig": {
    "cwd": "/Users/me/projects/paperclip-workspace",
    "model": "gemini-2.5-pro",
    "instructionsFilePath": "/Users/me/projects/paperclip-workspace/INSTRUCTIONS.md",
    "promptTemplate": "You are the product engineer for this company. Stay focused on the task.",
    "sandbox": false,
    "yolo": true,
    "env": {
      "GEMINI_API_KEY": {
        "type": "secret_ref",
        "secretId": "secret-id",
        "version": "latest"
      }
    },
    "helloProbeTimeoutSec": 10,
    "timeoutSec": 300,
    "graceSec": 15
  }
}

Next Steps

• Creating an Adapter
• Adapter UI Parser Contract
• External Adapters