docs: remove subagents from experimental (#4907)

This commit is contained in:
dianed-square
2025-09-30 19:32:48 -07:00
committed by GitHub
parent f2bf927011
commit 937c75bc51
31 changed files with 42 additions and 55 deletions
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@@ -19,11 +19,6 @@ The list of experimental features may change as Goose development progresses. So
<div className={styles.categorySection}>
<h2 className={styles.categoryTitle}>🧪 Experimental Features</h2>
<div className={styles.cardGrid}>
<Card
title="Subagents"
description="Independent instances that execute tasks while keeping your main conversation clean and focused. Run tasks sequentially or in parallel with process isolation and context preservation."
link="/docs/experimental/subagents"
/>
<Card
title="Ollama Tool Shim"
description="Enable tool calling capabilities for language models that don't natively support tool calling (like DeepSeek) using an experimental local interpreter model setup."
@@ -44,6 +39,11 @@ The list of experimental features may change as Goose development progresses. So
description="Intelligent, context-aware switching between models based on conversation content, complexity, and tool usage patterns."
link="/docs/guides/multi-model/autopilot"
/>
<Card
title="Using goose in ACP Clients"
description="Interact with goose natively in ACP-compatible clients like Zed."
link="/docs/guides/acp-clients"
/>
</div>
</div>
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@@ -1,5 +1,5 @@
---
sidebar_position: 25
sidebar_position: 105
title: Using Goose in ACP Clients
sidebar_label: Goose in ACP Clients
---
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@@ -1,5 +1,5 @@
---
sidebar_position: 19
sidebar_position: 90
title: Goose Extension Allowlist
sidebar_label: Extension Allowlist
---
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@@ -1,5 +1,5 @@
---
sidebar_position: 8
sidebar_position: 45
title: CLI Providers
sidebar_label: CLI Providers
description: Use Claude Code, Cursor Agent, or Gemini CLI subscriptions in Goose
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@@ -1,5 +1,5 @@
---
sidebar_position: 15
sidebar_position: 85
title: Configuration File
sidebar_label: Configuration File
---
@@ -47,7 +47,7 @@ These settings enable experimental features that are in active development. Thes
| Setting | Purpose | Values | Default | Required |
|---------|---------|---------|---------|-----------|
| `ALPHA_FEATURES` | Enables experimental alpha features like [subagents](/docs/experimental/subagents) | true/false | false | No |
| `ALPHA_FEATURES` | Enables access to experimental alpha features&mdash;check the feature docs to see if this flag is required | true/false | false | No |
Additional [environment variables](/docs/guides/environment-variables) may also be supported in config.yaml.
@@ -2,6 +2,7 @@
title: Enhanced Code Editing with AI Models
sidebar_label: Enhanced Code Editing
description: Use AI models to intelligently apply code changes
sidebar_position: 110
---
The [Developer extension](/docs/mcp/developer-mcp) supports using AI models for enhanced code editing through the `str_replace` command. When configured, it intelligently applies code changes using an AI model instead of simple string replacement.
@@ -1,5 +1,5 @@
---
sidebar_position: 20
sidebar_position: 95
title: Environment Variables
sidebar_label: Environment Variables
---
@@ -319,7 +319,7 @@ These variables enable experimental features that are in active development. The
| Variable | Purpose | Values | Default |
|----------|---------|---------|---------|
| `ALPHA_FEATURES` | Enables experimental alpha features like [subagents](/docs/experimental/subagents) | "true", "1" (case insensitive) to enable | false |
| `ALPHA_FEATURES` | Enables experimental alpha features&mdash;check the feature docs to see if this flag is required | "true", "1" (case insensitive) to enable | false |
**Examples**
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---
title: File Access and Management
sidebar_position: 10
sidebar_position: 70
sidebar_label: File Management
description: Efficiently find and reference files in Goose Desktop and follow best practices for safe file operations
---
@@ -1,5 +1,5 @@
---
sidebar_position: 7
sidebar_position: 35
title: CLI Commands
sidebar_label: CLI Commands
toc_max_heading_level: 4
@@ -1,5 +1,5 @@
---
sidebar_position: 6
sidebar_position: 25
title: Goose Permission Modes
sidebar_label: Goose Permissions
---
@@ -1,7 +1,7 @@
---
title: Set LLM Rate Limits
sidebar_label: LLM Rate Limits
sidebar_position: 9
sidebar_position: 60
---
import Tabs from '@theme/Tabs';
@@ -1,6 +1,6 @@
{
"label": "Rich Interactive Chat",
"position": 8,
"position": 55,
"link": {
"type": "doc",
"id": "guides/interactive-chat/index"
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@@ -1,7 +1,7 @@
---
title: Goose Logging System
sidebar_label: Logging System
sidebar_position: 9
sidebar_position: 65
---
@@ -1,5 +1,5 @@
---
sidebar_position: 3
sidebar_position: 15
title: Managing Projects
sidebar_label: Managing Projects
---
@@ -1,6 +1,6 @@
{
"label": "Managing Tools",
"position": 4,
"position": 15,
"link": {
"type": "doc",
"id": "guides/managing-tools/index"
@@ -1,5 +1,5 @@
{
"label": "Multi-Model Config",
"position": 20,
"position": 100,
"description": "Configure multiple models and providers for model-switching strategies."
}
@@ -1,6 +1,6 @@
{
"label": "Recipes",
"position": 2,
"position": 5,
"link": {
"type": "doc",
"id": "guides/recipes/index"
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@@ -1,5 +1,5 @@
---
sidebar_position: 13
sidebar_position: 75
title: Running Tasks
sidebar_label: Run Tasks
---
@@ -1,15 +1,11 @@
---
title: Subagents
sidebar_position: 1
sidebar_position: 50
sidebar_label: Subagents
---
Subagents are independent instances that execute tasks while keeping your main conversation clean and focused. They bring process isolation and context preservation by offloading work to separate instances. Think of them as temporary assistants that handle specific jobs without cluttering your chat with tool execution details.
:::warning
Subagents are an experimental feature in active development. Behavior and configuration may change in future releases.
:::
## How to Use Subagents
To use subagents, ask Goose to delegate tasks using natural language. Goose automatically decides when to spawn subagents and handles their lifecycle. You can:
@@ -30,20 +26,6 @@ You can run multiple subagents sequentially or in parallel.
If a subagent fails or times out (5-minute default), you will receive no output from that subagent. For parallel execution, if any subagent fails, you get results only from the successful ones.
:::
## Prerequisites
To use subagents, you need to enable alpha features first. You can do this by setting an [environment variable](/docs/guides/environment-variables#experimental-features) or adding it to your [config file](/docs/guides/config-file#experimental-features):
**Environment Variable:**
```bash
export ALPHA_FEATURES=true
```
**Config File** (`~/.config/goose/config.yaml`):
```yaml
ALPHA_FEATURES: true
```
## Internal Subagents
Internal subagents spawn Goose instances to handle tasks using your current session's context and extensions. There are two ways to configure and execute internal subagents:
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---
title: Quick Goose Tips
sidebar_position: 6
sidebar_position: 30
sidebar_label: Quick Tips
description: Best practices for working with Goose
---
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---
sidebar_position: 5
sidebar_position: 20
title: Updating Goose
sidebar_label: Updating Goose
---
@@ -1,6 +1,6 @@
---
title: Providing Hints to Goose
sidebar_position: 7
sidebar_position: 40
sidebar_label: Using Goosehints
---
@@ -1,7 +1,7 @@
---
title: Prevent Goose from Accessing Files
sidebar_label: Using Gooseignore
sidebar_position: 14
sidebar_position: 80
---
@@ -452,6 +452,6 @@ The key is treating Goose as a planning partner, not just a code generator. Give
- Try this approach with your own complex setup challenges
- Experiment with different types of planning prompts
- Share your planning successes with the [Goose community](https://discord.gg/block-opensource)
- Explore how planning integrates with [Lead/Worker mode](/docs/tutorials/lead-worker) or [Subagents](/docs/experimental/subagents) for even more sophisticated workflows
- Explore how planning integrates with [Lead/Worker mode](/docs/tutorials/lead-worker) or [Subagents](/docs/guides/subagents) for even more sophisticated workflows
Remember, the goal is to get the right approach, in the right order, with the right safeguards. That's what makes the difference between a quick fix and a robust, maintainable solution.