Update filename numbering to match quickstarts/ on dapr-agents (#5143)

Signed-off-by: Sergio Herrera <627709+seherv@users.noreply.github.com>

Author: seherv

daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-getting-started.md

@@ -145,7 +145,7 @@ Dapr also supports Anthropic, Mistral, and other providers through the [Conversa
 
 ## Prepare your environment
 
-In this getting started guide, you'll work directly from the [Dapr Agents quickstarts](https://github.com/dapr/dapr-agents/tree/main/quickstarts). You'll focus on `02_durable_agent_http.py`—a reliable durable agent backed by Dapr's workflow engine and exposed over HTTP.
+In this getting started guide, you'll work directly from the [Dapr Agents quickstarts](https://github.com/dapr/dapr-agents/tree/main/quickstarts). You'll focus on `03_durable_agent_http.py`—a reliable durable agent backed by Dapr's workflow engine and exposed over HTTP.
 
 ### 1. Clone the repository
 
@@ -179,14 +179,14 @@ This example creates an agent that assists with weather information and uses Dap
 
 For this quickstart you'll primarily work with:
 
-* `02_durable_agent_http.py` – the main durable weather agent application exposed over HTTP
+* `03_durable_agent_http.py` – the main durable weather agent application exposed over HTTP
 * `function_tools.py` – contains `slow_weather_func`, the tool used by the agent
 * `resources/llm-provider.yaml` – Conversation API and LLM configuration
 * `resources/agent-memory.yaml` – conversation memory state store
 * `resources/agent-workflow.yaml` – workflow and durable execution state store
 
 
-Open `02_durable_agent_http.py`:
+Open `03_durable_agent_http.py`:
 
 ```python
 from dapr_agents.llm import DaprChatClient
@@ -347,13 +347,13 @@ Together, these features make the agent **durable**, **reliable**, and **provide
 From the `quickstarts` folder, with your virtual environment activated:
 
 ```bash
-uv run dapr run --app-id durable-agent --resources-path resources -- python 02_durable_agent_http.py
+uv run dapr run --app-id durable-agent --resources-path resources -- python 03_durable_agent_http.py
 ```
 
 This:
 
 * Starts a Dapr sidecar using the components in `resources/`.
-* Runs `02_durable_agent_http.py` with the durable `WeatherAgent`.
+* Runs `03_durable_agent_http.py` with the durable `WeatherAgent`.
 * Exposes the agent's HTTP API on port `8001`.
 
 ### Trigger the agent with a prompt
@@ -407,7 +407,7 @@ To see durable execution in action:
    Start it again with the same command:
 
 ```bash
-   uv run dapr run --app-id durable-agent --resources-path resources -- python 02_durable_agent_http.py
+   uv run dapr run --app-id durable-agent --resources-path resources -- python 03_durable_agent_http.py
 ```
 
 4. **Query the same workflow**

daprdocs/content/en/developing-ai/dapr-agents/dapr-agents-quickstarts.md

@@ -24,12 +24,13 @@ The [Dapr Agents Fundamentals quickstart](https://github.com/dapr/dapr-agents/tr
 | Step | File | What You'll Learn |
 |------|------|-------------------|
 | 1 | [`01_llm_client.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/01_llm_client.py) | Call an LLM via the Dapr Conversation API using `DaprChatClient` |
-| 2 | [`02_durable_agent_http.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/02_durable_agent_http.py) | Run a durable agent backed by Dapr Workflows, exposed over HTTP |
-| 3 | [`03_durable_agent_pubsub.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/03_durable_agent_pubsub.py) | Trigger a durable agent via pub/sub instead of HTTP |
-| 4 | [`04_workflow_llm.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/04_workflow_llm.py) | Build a deterministic Dapr Workflow that calls LLMs as activities |
-| 5 | [`05_workflow_agents.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/05_workflow_agents.py) | Orchestrate multiple specialized agents as child workflows |
-| 6 | [`06_durable_agent_tracing.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/06_durable_agent_tracing.py) | Enable distributed tracing for agents and workflows with Zipkin |
-| 7 | [`07_durable_agent_hot_reload.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/07_durable_agent_hot_reload.py) | Hot-reload agent configuration at runtime via Dapr Configuration Store |
+| 2 | [`02_durable_agent_workflow.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/02_durable_agent_workflow.py) | Run a durable agent triggered programmatically via the Dapr Workflow API, using `trigger_agent` from client code or `call_agent` from within another orchestrator |
+| 3 | [`03_durable_agent_http.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/03_durable_agent_http.py) | Run a durable agent backed by Dapr Workflows, exposed over HTTP |
+| 4 | [`04_durable_agent_pubsub.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/04_durable_agent_pubsub.py) | Trigger a durable agent via pub/sub instead of HTTP |
+| 5 | [`05_workflow_llm.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/05_workflow_llm.py) | Build a deterministic Dapr Workflow that calls LLMs as activities |
+| 6 | [`06_workflow_agents.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/06_workflow_agents.py) | Orchestrate multiple specialized agents as child workflows |
+| 7 | [`07_durable_agent_tracing.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/07_durable_agent_tracing.py) | Enable distributed tracing for agents and workflows with Zipkin |
+| 8 | [`08_durable_agent_hot_reload.py`](https://github.com/dapr/dapr-agents/blob/main/quickstarts/08_durable_agent_hot_reload.py) | Hot-reload agent configuration at runtime via Dapr Configuration Store |
 
 See the [quickstarts README](https://github.com/dapr/dapr-agents/tree/main/quickstarts#readme) for full setup instructions including LLM configuration and prerequisites.