> For the complete documentation index, see [llms.txt](https://axar-ai.gitbook.io/axar/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://axar-ai.gitbook.io/axar/examples/a-real-world-agent.md).

# A real world agent

This tutorial walks you through creating a **Daily Update Agent** using AXAR AI. The agent retrieves activities from JIRA and Bitbucket, summarizes them, and presents a concise daily update. This example demonstrates AXAR’s features like dynamic prompts, tools, and dependency injection.

### **The Problem**

Keeping track of daily team activities across tools like JIRA and Bitbucket can be time-consuming. Let’s automate this by building an agent that:

1. Fetches team members.
2. Collects their JIRA and Bitbucket activities.
3. Summarizes the activities in a readable format.

### **The Solution**

We'll use AXAR AI to create a **Daily Update Agent**. Here’s the full code:

```typescript
import { model, systemPrompt, Agent, tool } from "@axarai/axar";
import { JiraClient } from "./tools/jira";
import { BitbucketClient } from "./tools/bitbucket";

/**
 * An AI agent that generates daily team updates by collecting and summarizing
 * activities from JIRA and Bitbucket. The agent follows a structured approach
 * to gather information about team members and their activities.
 *
 * @model openai:gpt-4o-mini - Uses GPT-4 for natural language processing
 * @systemPrompt - Main system prompt for the agent
 */
@model("openai:gpt-4o-mini")
@systemPrompt(`
# Objective
Your task is to create a daily team update summarizing the activities of each team member.

# Steps

## 1. Retrieve Team Members
- Use the appropriate tools to fetch the list of team members.

## 2. Collect Activities
- Use the tools to gather each member's **JIRA activities** for the day.
- Use the tools to gather each member's **Bitbucket activities** for the day.

## 3. Summarize Activities
- Create a **short, readable summary** of the activities for each team member in a **TL;DR format**.
- If a team member has **no activities**, include the message: "No activities for the day."

# Output Format
- Organize the output into **separate sections** for each team member.
- Present the information in **Markdown format**.
`)
export class DailyUpdateAgent extends Agent<string, string> {
  /**
   * Creates a new instance of DailyUpdateAgent
   * @param jiraClient - Client for interacting with JIRA API
   * @param bitbucketClient - Client for interacting with Bitbucket API
   */
  constructor(
    private jiraClient: JiraClient,
    private bitbucketClient: BitbucketClient
  ) {
    super();
  }

  /**
   * Fetches all active members from the JIRA workspace
   * @returns Markdown formatted string containing workspace member details
   */
  @tool("Fetch all active members from the JIRA workspace")
  async getWorkspaceMembers(): Promise<string> {
    return this.jiraClient.fetchWorkspaceMembers();
  }

  /**
   * Retrieves JIRA activities (issues, updates) from the last 24 hours
   * @returns Markdown formatted string containing recent JIRA activities
   */
  @tool("Retrieve recent JIRA activities (issues, updates)")
  async getRecentJiraActivities(): Promise<string> {
    return this.jiraClient.fetchRecentActivities();
  }

  /**
   * Retrieves Bitbucket activities (commits) from the last 24 hours
   * @returns Markdown formatted string containing recent Bitbucket activities
   */
  @tool("Retrieve recent Bitbucket activities")
  async getRecentBitbucketActivities(): Promise<string> {
    return this.bitbucketClient.fetchRecentActivities();
  }
}

/**
 * Main function to run the daily update agent
 * Initializes JIRA and Bitbucket clients with authentication details
 * and executes the agent to generate the daily update
 */
async function main() {
  // Initialize JIRA client with authentication details
  const jiraClient = new JiraClient({
    baseUrl: "https://timetackle-team.atlassian.net",
    email: "your@email.com",
    apiToken: "YOUR-API-KEY",
    projectKey: "YOUR-PROJECT-KEY",
  });

  // Initialize Bitbucket client with authentication details
  const bitbucketClient = new BitbucketClient({
    auth: {
      username: "YOUR-USER-NAME",
      password: "YOUR-APP-PASSWORD",
    },
    workspace: "YOUR-WORKSPACE-ID",
  });

  // Create and run the agent
  const agent = new DailyUpdateAgent(jiraClient, bitbucketClient);
  const response = await agent.run("Give me the daily update for the team");
  console.log(response);
}

// Execute the main function and handle any errors
main().catch(console.error);

```

{% hint style="info" %}
For brevity, the implementation of `BitbucketClient` and `JiraClient` is not included here. We will publish them soon in our **axar-examples** repository.
{% endhint %}

### 💡 **What just happened?**

Let’s break this down step by step:

{% stepper %}
{% step %}
**Define the agent**

We created a class `DailyUpdateAgent` that extends `Agent` from AXAR. It specifies:

* **Model**: The AI model using the `@model` decorator (`openai:gpt-4o-mini` in this case).
* **Prompt**: A detailed system-level instruction using `@systemPrompt`.

The prompt defines:

* What the agent should do.
* The format of the output.
  {% endstep %}

{% step %}
**Dependency injection**

The agent is initialized with two clients:

* `JiraClient`: Manages JIRA interactions.
* `BitbucketClient`: Manages Bitbucket interactions.

This makes the agent modular and testable.

```typescript
constructor(
  private jiraClient: JiraClient,
  private bitbucketClient: BitbucketClient
) {
  super();
}
```

{% endstep %}

{% step %}
**Add tools**

Tools are  decorated with `@tool`, allowing the agent to interact with external world. We added three tools:

1. **Get Workspace Members**: Fetches the list of team members from JIRA.<br>

   ```typescript
   @tool("Fetch all active members from the JIRA workspace")
   async getWorkspaceMembers(): Promise<string> // ...
   ```
2. **Get Recent JIRA Activities**: Retrieves activities from JIRA.<br>

   ```typescript
   @tool("Retrieve recent JIRA activities (issues, updates)")
   async getRecentJiraActivities(): Promise<string> // ...
   ```
3. **Get Recent Bitbucket Activities**: Retrieves activities from Bitbucket.<br>

   ```typescript
   @tool("Retrieve recent Bitbucket activities")
   async getRecentBitbucketActivities(): Promise<string> // ...
   ```

{% endstep %}

{% step %}
**Run the agent**

In `main()`, we:

1. Instantiate `JiraClient` and `BitbucketClient` with their respective configurations.
2. Create a `DailyUpdateAgent` using the clients.
3. Call `agent.run()` to execute the prompt logic.

```typescript
const agent = new DailyUpdateAgent(jiraClient, bitbucketClient);
const response = await agent.run("Give me the daily update for the team");
console.log(response);
```

{% endstep %}

{% step %}
**Output**

The agent:

* Fetches the list of members.
* Retrieves their activities from JIRA and Bitbucket.
* Summarizes these in Markdown format, with placeholders for team members with no activity.
  {% endstep %}
  {% endstepper %}

### **Conclusion**

This example demonstrated how to use AXAR AI to automate summarizing daily activities from across multiple external platforms. By leveraging tools and a clear system prompt, we created a modular, scalable agent that integrates with external APIs.

Now, extend this agent for additional workflows or integrate other platforms!