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Fix cross-ref links (for pages under Services) (#333)
* Fix cross-ref links (for pages under Services) * Add sandbox env var info
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‎content/Agents/ai-gateway.mdx‎

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@@ -174,4 +174,4 @@ We recommend using the AI Gateway for most projects.
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- [Using the AI SDK](/Agents/ai-sdk-integration): Structured output, tool calling, and multi-turn conversations
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- [Returning Streaming Responses](/Agents/streaming-responses): Real-time chat UIs and progress indicators
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- [Logging](/Observability/logging): Debug requests and track LLM performance
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- [Logging](/Services/Observability/logging): Debug requests and track LLM performance

‎content/Agents/events-lifecycle.mdx‎

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@@ -251,5 +251,5 @@ Use events for observability. Use [evaluations](/Agents/evaluations) for output
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- [Evaluations](/Agents/evaluations): Automated quality testing for agent outputs
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- [State Management](/Agents/state-management): Thread and session state patterns
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- [Calling Other Agents](/Agents/calling-other-agents): Multi-agent coordination
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- [Logging](/Observability/logging): Structured logging for debugging events
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- [Tracing](/Observability/tracing): Track timing across event handlers
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- [Logging](/Services/Observability/logging): Structured logging for debugging events
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- [Tracing](/Services/Observability/tracing): Track timing across event handlers

‎content/Agents/state-management.mdx‎

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For most use cases, use `ctx.state`. Use `ctx.session.state` only when you need data in session completion events. See [Events & Lifecycle](/Agents/events-lifecycle) for more on event handlers.
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<Callout type="info" title="Persistent Data">
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Neither `ctx.state` nor `ctx.session.state` persist across requests. For data that should survive across requests, use `ctx.thread.state` (up to 1 hour) or [KV storage](/Storage/key-value) (durable).
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Neither `ctx.state` nor `ctx.session.state` persist across requests. For data that should survive across requests, use `ctx.thread.state` (up to 1 hour) or [KV storage](/Services/Storage/key-value) (durable).
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</Callout>
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## Persisting to Storage
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</Callout>
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To stay within limits:
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- Store large data in [KV storage](/Storage/key-value) instead of state
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- Store large data in [KV storage](/Services/Storage/key-value) instead of state
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- Keep only recent messages (e.g., last 20-50)
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- Store IDs or references rather than full objects
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## Next Steps
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- [Key-Value Storage](/Storage/key-value): Durable data persistence with namespaces and TTL
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- [Key-Value Storage](/Services/Storage/key-value): Durable data persistence with namespaces and TTL
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- [Calling Other Agents](/Agents/calling-other-agents): Share state between agents in workflows
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- [Events & Lifecycle](/Agents/events-lifecycle): Monitor agent execution and cleanup

‎content/Agents/streaming-responses.mdx‎

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await stream.close();
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```
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This page focuses on ephemeral streaming with the AI SDK. For persistent streaming patterns, see the [Storage documentation](/Storage/durable-streams).
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This page focuses on ephemeral streaming with the AI SDK. For persistent streaming patterns, see the [Storage documentation](/Services/Storage/durable-streams).
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<Callout type="info" title="Two Parts to Streaming">
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Streaming requires both: `schema.stream: true` in your agent (so the handler returns a stream) and `stream()` middleware in your route (so the response is streamed to the client).

‎content/Learn/Cookbook/Patterns/background-tasks.mdx‎

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## See Also
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- [Durable Streams](/Storage/durable-streams) for stream creation and management
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- [Durable Streams](/Services/Storage/durable-streams) for stream creation and management
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- [Webhook Handler](/Learn/Cookbook/Patterns/webhook-handler) for another `waitUntil` example

‎content/Learn/Cookbook/Patterns/cron-with-storage.mdx‎

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## See Also
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- [Cron Routes](/Routes/cron) for schedule expressions and patterns
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- [Key-Value Storage](/Storage/key-value) for KV operations and TTL options
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- [Key-Value Storage](/Services/Storage/key-value) for KV operations and TTL options

‎content/Learn/Cookbook/Patterns/product-search.mdx‎

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## See Also
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- [Vector Storage](/Storage/vector) for all vector operations
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- [Vector Storage](/Services/Storage/vector) for all vector operations
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- [Build a RAG Agent](/Learn/Cookbook/Tutorials/rag-agent) for question-answering
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- [AI SDK Integration](/Agents/ai-sdk-integration) for `generateObject` patterns

‎content/Learn/Cookbook/Tutorials/rag-agent.mdx‎

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## Prerequisites
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- An Agentuity project ([Quickstart](/Get-Started/quickstart) if you need one)
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- Basic familiarity with [Vector Storage](/Storage/vector)
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- Basic familiarity with [Vector Storage](/Services/Storage/vector)
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## Project Structure
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- Add an [evaluation](/Agents/evaluations) to check answer quality
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- Implement [streaming](/Agents/streaming-responses) for longer responses
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- Add metadata filtering to search specific categories
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- See the [Vector Storage](/Storage/vector) guide for advanced search options
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- See the [Vector Storage](/Services/Storage/vector) guide for advanced search options

‎content/Reference/CLI/debugging.mdx‎

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- [Managing Cloud Data](/Reference/CLI/data-management): Inspect storage, env vars, and secrets
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- [Deploying to the Cloud](/Reference/CLI/deployment): Deploy and manage projects
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- [Logging](/Observability/logging): Configure logging in your agents
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- [Logging](/Services/Observability/logging): Configure logging in your agents

‎content/Reference/CLI/deployment.mdx‎

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## Next Steps
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- [Debugging Deployments](/Reference/CLI/debugging): SSH access and debugging tools
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- [Logging](/Observability/logging): Configure logging in your agents
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- [Key-Value Storage](/Storage/key-value): Store persistent data
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- [Logging](/Services/Observability/logging): Configure logging in your agents
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- [Key-Value Storage](/Services/Storage/key-value): Store persistent data

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