e57ab8cb0c
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Alexandre Girard <alexandre@airbyte.io>
31 lines
1000 B
Markdown
31 lines
1000 B
Markdown
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products: embedded
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# Agent Engine API
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The Agent Engine API allows you to build a fully integrated Airbyte Embedded Experience.
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## Implementation Steps
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Follow these steps to implement Airbyte Embedded with the API:
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### 1. One-Time Setup (Your Organization)
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First, configure the foundation for your embedded integration:
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1. **[Create Connection Templates](./connection-templates.md)**: Define where your users' data will be stored (destination configuration)
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2. **[Create Source Templates](./source-templates.md)**: Choose which data connectors your users can access
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### 2. Per-User Integration (Runtime)
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For each user who wants to connect their data:
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1. **[Generate User Tokens & Configure Sources](./configuring-sources.md)**: Authenticate users and collect their source credentials
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This approach separates one-time organizational setup from per-user operations, making your integration more scalable.
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[Full Agent Engine API reference](/ai-agents/embedded/api-reference/sonar).
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