Merge branch 'main' into gemini-cli-headless-monitor

docs/cli/plan-mode.md

@@ -80,18 +80,37 @@ manually during a session.
 
 ### Planning Workflow
 
+Plan Mode uses an adaptive planning workflow where the research depth, plan
+structure, and consultation level are proportional to the task's complexity:
+
 1.  **Explore & Analyze:** Analyze requirements and use read-only tools to map
-    the codebase and validate assumptions. For complex tasks, identify at least
-    two viable implementation approaches.
-2.  **Consult:** Present a summary of the identified approaches via [`ask_user`]
-    to obtain a selection. For simple or canonical tasks, this step may be
-    skipped.
-3.  **Draft:** Once an approach is selected, write a detailed implementation
-    plan to the plans directory.
+    affected modules and identify dependencies.
+2.  **Consult:** The depth of consultation is proportional to the task's
+    complexity:
+    - **Simple Tasks:** Proceed directly to drafting.
+    - **Standard Tasks:** Present a summary of viable approaches via
+      [`ask_user`] for selection.
+    - **Complex Tasks:** Present detailed trade-offs for at least two viable
+      approaches via [`ask_user`] and obtain approval before drafting.
+3.  **Draft:** Write a detailed implementation plan to the
+    [plans directory](#custom-plan-directory-and-policies). The plan's structure
+    adapts to the task:
+    - **Simple Tasks:** Focused on specific **Changes** and **Verification**
+      steps.
+    - **Standard Tasks:** Includes an **Objective**, **Key Files & Context**,
+      **Implementation Steps**, and **Verification & Testing**.
+    - **Complex Tasks:** Comprehensive plans including **Background &
+      Motivation**, **Scope & Impact**, **Proposed Solution**, **Alternatives
+      Considered**, a phased **Implementation Plan**, **Verification**, and
+      **Migration & Rollback** strategies.
 4.  **Review & Approval:** Use the [`exit_plan_mode`] tool to present the plan
     and formally request approval.
     - **Approve:** Exit Plan Mode and start implementation.
     - **Iterate:** Provide feedback to refine the plan.
+    - **Refine manually:** Press **Ctrl + X** to open the plan file in your
+      [preferred external editor]. This allows you to manually refine the plan
+      steps before approval. The CLI will automatically refresh and show the
+      updated plan after you save and close the editor.
 
 For more complex or specialized planning tasks, you can
 [customize the planning workflow with skills](#customizing-planning-with-skills).
@@ -290,3 +309,4 @@ performance. You can disable this automatic switching in your settings:
   https://github.com/google-gemini/gemini-cli/blob/main/packages/core/src/policy/policies/plan.toml
 [auto model]: /docs/reference/configuration.md#model-settings
 [model routing]: /docs/cli/telemetry.md#model-routing
+[preferred external editor]: /docs/reference/configuration.md#general

docs/cli/settings.md

@@ -80,6 +80,12 @@ they appear in the UI.
 | -------- | ------------- | ---------------------------- | ------- |
 | IDE Mode | `ide.enabled` | Enable IDE integration mode. | `false` |
 
+### Billing
+
+| UI Label         | Setting                   | Description                                                                                                                                                | Default |
+| ---------------- | ------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| Overage Strategy | `billing.overageStrategy` | How to handle quota exhaustion when AI credits are available. 'ask' prompts each time, 'always' automatically uses credits, 'never' disables credit usage. | `"ask"` |
+
 ### Model
 
 | UI Label                | Setting                      | Description                                                                            | Default     |
@@ -140,6 +146,7 @@ they appear in the UI.
 | Plan                       | `experimental.plan`                      | Enable planning features (Plan Mode and tools).                                                                                                           | `false` |
 | Model Steering             | `experimental.modelSteering`             | Enable model steering (user hints) to guide the model during tool execution.                                                                              | `false` |
 | Direct Web Fetch           | `experimental.directWebFetch`            | Enable web fetch behavior that bypasses LLM summarization.                                                                                                | `false` |
+| Enable Gemma Model Router  | `experimental.gemmaModelRouter.enabled`  | Enable the Gemma Model Router. Requires a local endpoint serving Gemma via the Gemini API using LiteRT-LM shim.                                           | `false` |
 
 ### Skills
 

docs/cli/telemetry.md

@@ -176,11 +176,12 @@ Sends telemetry directly to Google Cloud services. No collector needed.
    }
    ```
 2. Run Gemini CLI and send prompts.
-3. View logs and metrics:
+3. View logs, metrics, and traces:
    - Open the Google Cloud Console in your browser after sending prompts:
-     - Logs: https://console.cloud.google.com/logs/
-     - Metrics: https://console.cloud.google.com/monitoring/metrics-explorer
-     - Traces: https://console.cloud.google.com/traces/list
+     - Logs (Logs Explorer): https://console.cloud.google.com/logs/
+     - Metrics (Metrics Explorer):
+       https://console.cloud.google.com/monitoring/metrics-explorer
+     - Traces (Trace Explorer): https://console.cloud.google.com/traces/list
 
 ### Collector-based export (advanced)
 
@@ -208,11 +209,12 @@ forward data to Google Cloud.
    - Save collector logs to `~/.gemini/tmp/<projectHash>/otel/collector-gcp.log`
    - Stop collector on exit (e.g. `Ctrl+C`)
 3. Run Gemini CLI and send prompts.
-4. View logs and metrics:
+4. View logs, metrics, and traces:
    - Open the Google Cloud Console in your browser after sending prompts:
-     - Logs: https://console.cloud.google.com/logs/
-     - Metrics: https://console.cloud.google.com/monitoring/metrics-explorer
-     - Traces: https://console.cloud.google.com/traces/list
+     - Logs (Logs Explorer): https://console.cloud.google.com/logs/
+     - Metrics (Metrics Explorer):
+       https://console.cloud.google.com/monitoring/metrics-explorer
+     - Traces (Trace Explorer): https://console.cloud.google.com/traces/list
    - Open `~/.gemini/tmp/<projectHash>/otel/collector-gcp.log` to view local
      collector logs.
 
@@ -270,10 +272,10 @@ For local development and debugging, you can capture telemetry data locally:
 3. View traces at http://localhost:16686 and logs/metrics in the collector log
    file.
 
-## Logs and metrics
+## Logs, metrics, and traces
 
-The following section describes the structure of logs and metrics generated for
-Gemini CLI.
+The following section describes the structure of logs, metrics, and traces
+generated for Gemini CLI.
 
 The `session.id`, `installation.id`, `active_approval_mode`, and `user.email`
 (available only when authenticated with a Google account) are included as common
@@ -824,6 +826,32 @@ Optional performance monitoring for startup, CPU/memory, and phase timing.
     - `current_value` (number)
     - `baseline_value` (number)
 
+### Traces
+
+Traces offer a granular, "under-the-hood" view of every agent and backend
+operation. By providing a high-fidelity execution map, they enable precise
+debugging of complex tool interactions and deep performance optimization. Each
+trace captures rich, consistent metadata via custom span attributes:
+
+- `gen_ai.operation.name` (string): The high-level operation kind (e.g.
+  "tool_call", "llm_call").
+- `gen_ai.agent.name` (string): The service agent identifier ("gemini-cli").
+- `gen_ai.agent.description` (string): The service agent description.
+- `gen_ai.input.messages` (string): Input messages or metadata specific to the
+  operation.
+- `gen_ai.output.messages` (string): Output messages or metadata generated from
+  the operation.
+- `gen_ai.request.model` (string): The request model name.
+- `gen_ai.response.model` (string): The response model name.
+- `gen_ai.system_instructions` (json string): The system instructions.
+- `gen_ai.prompt.name` (string): The prompt name.
+- `gen_ai.tool.name` (string): The executed tool's name.
+- `gen_ai.tool.call_id` (string): The generated specific ID of the tool call.
+- `gen_ai.tool.description` (string): The executed tool's description.
+- `gen_ai.tool.definitions` (json string): The executed tool's description.
+- `gen_ai.conversation.id` (string): The current CLI session ID.
+- Additional user-defined Custom Attributes passed via the span's configuration.
+
 #### GenAI semantic convention
 
 The following metrics comply with [OpenTelemetry GenAI semantic conventions] for