feat: add project-id in deployment.json file

samples/hosted-agent/README.md

@@ -0,0 +1,48 @@
+# Hosted Agent Samples
+
+This folder contains sample templates for building code-based **hosted agents** that can be deployed to Microsoft Foundry. Templates are available in both **Python** and **.NET**.
+
+## Available Templates
+
+| Template | Python | .NET | Description |
+|----------|--------|------|-------------|
+| **Agent** | `python/agent` | `dotnet/agent` | A single agent with local tool execution (Seattle Hotel search demo) |
+| **Workflow** | `python/workflow` | `dotnet/workflow` | A multi-agent workflow with Writer and Reviewer agents |
+| **Minimal** | `python/minimal` | `dotnet/minimal` | A bare-bones Dockerfile for custom implementations |
+
+## Placeholder Values
+
+These samples are **project templates** and contain placeholder values that must be replaced before use:
+
+- `{{AgentName}}` — Your agent's name
+- `{{PROJECT_ENDPOINT}}` — Your Microsoft Foundry project endpoint (e.g., `https://<project>.services.ai.azure.com`)
+- `{{MODEL_DEPLOYMENT_NAME}}` — Your deployed model name (e.g., `gpt-4o`, `gpt-4.1-mini`)
+- `{{SafeProjectName}}` — (.NET) Your project name for the `.csproj` file
+
+These placeholders appear in `agent.yaml`, source files, and project configuration files throughout the templates.
+
+## Recommended: Use the Microsoft Foundry VS Code Extension
+
+For the best experience creating hosted agents, we recommend using the **Microsoft Foundry for Visual Studio Code** extension instead of manually filling in placeholders. The extension provides a guided workflow that automatically configures your project, connects to your Microsoft Foundry resources, and scaffolds a ready-to-run agent project.
+
+**Install the extension:** [Microsoft Foundry for Visual Studio Code](https://marketplace.visualstudio.com/items?itemName=ms-windows-ai-studio.windows-ai-studio)
+
+With the extension you can:
+- Scaffold a new hosted agent project with your settings pre-filled
+- Deploy directly to Microsoft Foundry from VS Code
+- Test and debug agents locally before deployment
+
+## Project Structure
+
+```
+hosted-agent/
+├── version-manifest.json      # Version and release metadata
+├── python/
+│   ├── agent/                 # Single agent with local tool
+│   ├── workflow/              # Multi-agent workflow
+│   └── minimal/               # Minimal Dockerfile only
+└── dotnet/
+    ├── agent/                 # Single agent with local tool
+    ├── workflow/              # Multi-agent workflow
+    └── minimal/               # Minimal Dockerfile only
+```

samples/hosted-agent/dotnet/agent/.foundry/.deployment.json

@@ -0,0 +1,3 @@
+{
+  "projectId": "{{ProjectId}}"
+}

samples/hosted-agent/dotnet/workflow/.foundry/.deployment.json

@@ -0,0 +1,3 @@
+{
+  "projectId": "{{ProjectId}}"
+}

samples/hosted-agent/python/agent/.foundry/.deployment.json

@@ -0,0 +1,3 @@
+{
+  "projectId": "{{ProjectId}}"
+}

samples/hosted-agent/python/workflow/.foundry/.deployment.json

@@ -0,0 +1,3 @@
+{
+  "projectId": "{{ProjectId}}"
+}

samples/hosted-agent/python/workflow/main.py

@@ -99,8 +99,7 @@ async def main() -> None:
             # Server mode (default)
             print("Starting workflow agent HTTP server...")
             from azure.ai.agentserver.agentframework import from_agent_framework
-
-        await from_agent_framework(agent).run_async()
+            await from_agent_framework(agent).run_async()
 
 
 if __name__ == "__main__":