mirror of https://github.com/dapr/docs.git
style: update some references
Signed-off-by: Samantha Coyle <sam@diagrid.io>
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@ -298,7 +298,7 @@ Agent tasks enable workflows to leverage specialized agents with their own tools
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### Workflow Patterns
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Workflows enable the implementation of various agentic patterns through structured orchestration, including Prompt Chaining, Routing, Parallelization, Orchestrator-Workers, Evaluator-Optimizer, Human-in-the-loop, and others. For detailed implementations and examples of these patterns, see the [Patterns documentation]({{< ref "developing-applications/dapr-agents/dapr-agents-patterns.md" >}}).
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Workflows enable the implementation of various agentic patterns through structured orchestration, including Prompt Chaining, Routing, Parallelization, Orchestrator-Workers, Evaluator-Optimizer, Human-in-the-loop, and others. For detailed implementations and examples of these patterns, see the [Patterns documentation]({{< ref dapr-agents-patterns.md >}}).
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### Workflows vs. Durable Agents
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@ -64,7 +64,7 @@ Dapr Agents is a Python framework built on top of the [Python Dapr SDK]({{% ref
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### Getting Started
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Get started with Dapr Agents by following the instructions on the [Getting Started page]({{% ref "developing-applications/dapr-agents/dapr-agents-getting-started.md" %}}).
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Get started with Dapr Agents by following the instructions on the [Getting Started page]({{% ref dapr-agents-getting-started.md %}}).
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### Framework Integrations
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@ -10,7 +10,7 @@ description: "Get started with Dapr Agents through practical step-by-step exampl
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#### Before you begin
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- [Set up your local Dapr environment]({{% ref "getting-started/install-dapr-cli.md" %}}).
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- [Set up your local Dapr environment]({{% ref install-dapr-cli.md %}}).
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## Quickstarts
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