docs: remove ALPHA_FEATURES flag from documentation (#7315)

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Rizel Scarlett 2026-02-18 15:14:12 -05:00 committed by GitHub
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@ -50,11 +50,9 @@ For this project, I turned my subagents into an on-demand dev squad, and I assig
Sidenote: It felt like I was assembling the Avengers.
![avengers](avengers.gif)
Since the feature is still experimental, I had to enable it via an environment variable:
```bash
export GOOSE_ALPHA_FEATURES=true
```
:::note
As of version 1.10.0, subagents are no longer experimental and don't require enabling any feature flags.
:::
## Instructing My Team
@ -186,4 +184,4 @@ What will you build with subagents?
<meta name="twitter:title" content="Orchestrating 6 Subagents to Build a Collaborative API Playground for Kids" />
<meta name="twitter:description" content="Delegating backend, frontend, docs, and tests so six subagents could build collaborative API tool for kids." />
<meta name="twitter:image" content="https://block.github.io/goose/assets/images/built-by-subagents-869a01d4b147ebdb54334dcc22dc521e.png" />
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@ -395,8 +395,11 @@ What we demonstrated in this workshop hints at a fascinating future for software
Want to try this yourself? Here's what you need:
1. **Install and Configure Goose**: Follow the [quickstart guide](https://block.github.io/goose/docs/quickstart)
2. **Enable Alpha Features**: Add `ALPHA_FEATURES: true` to your config
3. **Start Small**: Try building a simple app first to get comfortable with the workflow
2. **Start Small**: Try building a simple app first to get comfortable with the workflow
:::note
As of version 1.10.0, subagents are no longer experimental and don't require enabling any feature flags.
:::
The [complete workshop materials](https://gist.github.com/angiejones/60ff19c08c5a3992e42adc8de3e96309) are available, including step-by-step instructions and cheat sheet prompts.
@ -421,4 +424,4 @@ Remember, this is about prototyping and exploration, not production deployment.
<meta name="twitter:title" content="How 7 AI Agents Worked Together to Build an App in One Hour" />
<meta name="twitter:description" content="Learn how to build a full-stack AI app in under an hour using Goose's multi-agent orchestration, from planning to QA testing." />
<meta name="twitter:image" content="https://block.github.io/goose/assets/images/header-image-b685ea475ff7b8ae3563317b347fddb0.png" />
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@ -56,14 +56,6 @@ The following settings can be configured at the root level of your config.yaml f
| `SECURITY_PROMPT_CLASSIFIER_TOKEN` | Authentication token for `SECURITY_PROMPT_CLASSIFIER_ENDPOINT` | String | None | No |
| `GOOSE_TELEMETRY_ENABLED` | Enable [anonymous usage data](/docs/guides/usage-data) collection | true/false | false | No |
## Experimental Features
These settings enable experimental features that are in active development. These may change or be removed in future releases.
| Setting | Purpose | Values | Default | Required |
|---------|---------|---------|---------|-----------|
| `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.
## Example Configuration

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@ -543,24 +543,6 @@ export GOOSE_RECIPE_RETRY_TIMEOUT_SECONDS=300
export GOOSE_RECIPE_ON_FAILURE_TIMEOUT_SECONDS=60
```
## Experimental Features
These variables enable experimental features that are in active development. These may change or be removed in future releases. Use with caution in production environments.
| Variable | Purpose | Values | Default |
|----------|---------|---------|---------|
| `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**
```bash
# Enable alpha features
export ALPHA_FEATURES=true
# Or enable for a single session
ALPHA_FEATURES=true goose session
```
## Development & Testing
These variables are primarily used for development, testing, and debugging goose itself.