chore(sync): mirror docs from openclaw/openclaw@4d4dbe8e15

.openclaw-sync/source.json

@@ -1,5 +1,5 @@
 {
   "repository": "openclaw/openclaw",
-  "sha": "124cd5e307aee778cbe0ff18de8803ac51bf5b14",
-  "syncedAt": "2026-04-07T08:55:41.593Z"
+  "sha": "4d4dbe8e15159c1b0a5d74e5b99eb85456b81071",
+  "syncedAt": "2026-04-07T09:36:23.035Z"
 }

docs/concepts/model-providers.md

@@ -360,7 +360,7 @@ OpenClaw ships with the pi‑ai catalog. These providers require **no**
     - or `npm install -g @google/gemini-cli`
   - Enable: `openclaw plugins enable google`
   - Login: `openclaw models auth login --provider google-gemini-cli --set-default`
-  - Default model: `google-gemini-cli/gemini-3.1-pro-preview`
+  - Default model: `google-gemini-cli/gemini-3-flash-preview`
   - Note: you do **not** paste a client id or secret into `openclaw.json`. The CLI login flow stores
     tokens in auth profiles on the gateway host.
   - If requests fail after login, set `GOOGLE_CLOUD_PROJECT` or `GOOGLE_CLOUD_PROJECT_ID` on the gateway host.

docs/gateway/cli-backends.md

@@ -214,8 +214,10 @@ The bundled OpenAI plugin also registers a default for `codex-cli`:
 The bundled Google plugin also registers a default for `google-gemini-cli`:
 
 - `command: "gemini"`
-- `args: ["--prompt", "--output-format", "json"]`
-- `resumeArgs: ["--resume", "{sessionId}", "--prompt", "--output-format", "json"]`
+- `args: ["--output-format", "json", "--prompt", "{prompt}"]`
+- `resumeArgs: ["--resume", "{sessionId}", "--output-format", "json", "--prompt", "{prompt}"]`
+- `imageArg: "@"`
+- `imagePathScope: "workspace"`
 - `modelArg: "--model"`
 - `sessionMode: "existing"`
 - `sessionIdFields: ["session_id", "sessionId"]`
@@ -251,8 +253,9 @@ opt into a generated MCP config overlay with `bundleMcp: true`.
 
 Current bundled behavior:
 
-- `codex-cli`: no bundle MCP overlay
-- `google-gemini-cli`: no bundle MCP overlay
+- `claude-cli`: generated strict MCP config file
+- `codex-cli`: inline config overrides for `mcp_servers`
+- `google-gemini-cli`: generated Gemini system settings file
 
 When bundle MCP is enabled, OpenClaw:
 
@@ -260,8 +263,8 @@ When bundle MCP is enabled, OpenClaw:
 - authenticates the bridge with a per-session token (`OPENCLAW_MCP_TOKEN`)
 - scopes tool access to the current session, account, and channel context
 - loads enabled bundle-MCP servers for the current workspace
-- merges them with any existing backend `--mcp-config`
-- rewrites the CLI args to pass `--strict-mcp-config --mcp-config <generated-file>`
+- merges them with any existing backend MCP config/settings shape
+- rewrites the launch config using the backend-owned integration mode from the owning extension
 
 If no MCP servers are enabled, OpenClaw still injects a strict config when a
 backend opts into bundle MCP so background runs stay isolated.

docs/help/faq.md

@@ -701,7 +701,7 @@ for usage/billing and raise limits as needed.
        - npm: `npm install -g @google/gemini-cli`
     2. Enable the plugin: `openclaw plugins enable google`
     3. Login: `openclaw models auth login --provider google-gemini-cli --set-default`
-    4. Default model after login: `google-gemini-cli/gemini-3.1-pro-preview`
+    4. Default model after login: `google-gemini-cli/gemini-3-flash-preview`
     5. If requests fail, set `GOOGLE_CLOUD_PROJECT` or `GOOGLE_CLOUD_PROJECT_ID` on the gateway host
 
     This stores OAuth tokens in auth profiles on the gateway host. Details: [Model providers](/concepts/model-providers).

docs/help/testing.md

@@ -300,6 +300,7 @@ Notes:
 - The Docker runner lives at `scripts/test-live-cli-backend-docker.sh`.
 - It runs the live CLI-backend smoke inside the repo Docker image as the non-root `node` user.
 - It resolves CLI smoke metadata from the owning extension, then installs the matching Linux CLI package (`@anthropic-ai/claude-code`, `@openai/codex`, or `@google/gemini-cli`) into a cached writable prefix at `OPENCLAW_DOCKER_CLI_TOOLS_DIR` (default: `~/.cache/openclaw/docker-cli-tools`).
+- The live CLI-backend smoke now exercises the same end-to-end flow for Claude, Codex, and Gemini: text turn, image classification turn, then MCP `cron` tool call verified through the gateway CLI.
 
 ## Live: ACP bind smoke (`/acp spawn ... --bind here`)
 

docs/providers/google.md

@@ -52,7 +52,7 @@ An alternative provider `google-gemini-cli` uses PKCE OAuth instead of an API
 key. This is an unofficial integration; some users report account
 restrictions. Use at your own risk.
 
-- Default model: `google-gemini-cli/gemini-3.1-pro-preview`
+- Default model: `google-gemini-cli/gemini-3-flash-preview`
 - Alias: `gemini-cli`
 - Install prerequisite: local Gemini CLI available as `gemini`
   - Homebrew: `brew install gemini-cli`

docs/providers/models.md

@@ -54,7 +54,7 @@ model as `provider/model`.
 
 - `anthropic-vertex` - implicit Anthropic on Google Vertex support when Vertex credentials are available; no separate onboarding auth choice
 - `copilot-proxy` - local VS Code Copilot Proxy bridge; use `openclaw onboard --auth-choice copilot-proxy`
-- `google-gemini-cli` - unofficial Gemini CLI OAuth flow; requires a local `gemini` install (`brew install gemini-cli` or `npm install -g @google/gemini-cli`); default model `google-gemini-cli/gemini-3.1-pro-preview`; use `openclaw onboard --auth-choice google-gemini-cli` or `openclaw models auth login --provider google-gemini-cli --set-default`
+- `google-gemini-cli` - unofficial Gemini CLI OAuth flow; requires a local `gemini` install (`brew install gemini-cli` or `npm install -g @google/gemini-cli`); default model `google-gemini-cli/gemini-3-flash-preview`; use `openclaw onboard --auth-choice google-gemini-cli` or `openclaw models auth login --provider google-gemini-cli --set-default`
 
 For the full provider catalog (xAI, Groq, Mistral, etc.) and advanced configuration,
 see [Model providers](/concepts/model-providers).