> ## Documentation Index
> Fetch the complete documentation index at: https://praison.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Azure Container Apps dynamic sessions Code runtime Tool

> Guide for using the Azure Container Apps dynamic sessions based code Interpreter tool with PraisonAI agents.

## Overview

The Azure Container Apps dynamic sessions based code Interpreter tool is a tool that allows you to execute and run development environments using the AI Agents.

The user sends code to run; the agent executes it in an Azure dynamic session and returns the output.

```mermaid theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
graph LR
    subgraph "AzureInterpreter Flow"
        User[👤 User] --> Agent[🤖 Agent]
        Agent --> Tool[🔧 AzureInterpreter]
        Tool --> Result[✅ Result]
        Result --> Agent
    end

    classDef agent fill:#8B0000,stroke:#7C90A0,color:#fff
    classDef tool fill:#189AB4,stroke:#7C90A0,color:#fff
    classDef output fill:#10B981,stroke:#7C90A0,color:#fff

    class User,Agent agent
    class Tool tool
    class Result output
```

```bash theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
pip install langchain-azure-dynamic-sessions langchain-openai langchainhub langchain langchain-community
```

```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
from praisonaiagents import Agent, AgentTeam
import getpass
from langchain_azure_dynamic_sessions import SessionsPythonREPLTool

POOL_MANAGEMENT_ENDPOINT = getpass.getpass()

coder_agent = Agent(instructions="""word = "strawberry"
                                    count = word.count("r")
                                    print(f"There are {count}'R's in the word 'Strawberry'")""", tools=[SessionsPythonREPLTool])

agents = AgentTeam(agents=[coder_agent])
agents.start()
```

## Getting Started

<Steps>
  <Step title="Simple Usage">
    1. Install dependencies (see **Overview** above)
    2. Set required API keys in your environment
    3. Run the agent example in **Overview**
  </Step>

  <Step title="With Configuration">
    Use the same tool with an agent — see the **Overview** example, or pass env vars from the sections above.
  </Step>
</Steps>

## How It Works

```mermaid theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
sequenceDiagram
    participant User
    participant Agent
    participant Tool as Tool
    participant Svc as Azure Sessions

    User->>Agent: Request
    Agent->>Tool: Call tool
    Tool->>Svc: Query
    Svc-->>Tool: Data
    Tool-->>Agent: Result
    Agent-->>User: Response
```

***

## Best Practices

<AccordionGroup>
  <Accordion title="Keep sessions short-lived">
    Azure Container Apps dynamic sessions are ephemeral — treat each run as stateless and pass all inputs explicitly.
  </Accordion>

  <Accordion title="Validate untrusted code">
    Only run code the agent generated from trusted instructions. Sandbox limits protect the host, not your data.
  </Accordion>

  <Accordion title="Handle timeouts">
    Long-running code can hit the session timeout. Wrap execution in error handling so the agent recovers gracefully.
  </Accordion>
</AccordionGroup>

***

## Related Tools

<CardGroup cols={2}>
  <Card title="Python" icon="book" href="/docs/tools/external/python">
    Run Python code
  </Card>

  <Card title="Shell" icon="book" href="/docs/tools/external/shell">
    Shell commands
  </Card>

  <Card title="Bearly Code Interpreter" icon="book" href="/docs/tools/external/bearly-code-interpreter">
    Cloud code execution
  </Card>
</CardGroup>