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bugfix

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jinli.yl 2025-07-22 20:39:13 +08:00
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README.md
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@ -150,9 +150,13 @@ curl -fsSL https://elastic.co/start-local | sh
📖 **Need Help?** Refer to [Vector Store Setup](./doc/vector_store_setup.md) for comprehensive deployment guidance.
## 📝 Your First ExperienceMaker Script
Here's how to get started! The `load_dotenv()` function loads environment variables from your `.env` file, or you can manually export them.
The `base_url` points to your ExperienceMaker service, and `workspace_id` serves as your experience storage namespace.
Experiences in different workspaces remain completely isolated and cannot access each other.
Here's how to get started!
- The `load_dotenv()` function loads environment variables from your `.env` file, or you can manually export them.
- The `base_url` points to your ExperienceMaker service.
- The `workspace_id` serves as your experience storage namespace. Experiences in different workspaces remain completely
isolated and cannot access each other.
### 📊 Call Summarizer Examples
```python

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doc/quick_start.md
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@ -72,9 +72,13 @@ Refer to [Vector Store Setup](./doc/vector_store_setup.md) for more details.
## 📝 Your First ExperienceMaker Script
Here, load_dotenv is used to load environment variables from the .env file, or you can manually export them to the environment.
`base_url` is the address of the ExperienceMaker service mentioned above, and workspace_id is the name of the current workspace for storing experiences.
Experiences in different workspace_ids are not shared or accessible across workspaces.
Here's how to get started!
- The `load_dotenv()` function loads environment variables from your `.env` file, or you can manually export them.
- The `base_url` points to your ExperienceMaker service.
- The `workspace_id` serves as your experience storage namespace. Experiences in different workspaces remain completely
isolated and cannot access each other.
### Call Summarizer Examples
```python