> For the complete documentation index, see [llms.txt](https://help.telebotcreator.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.telebotcreator.com/changelog/version-5.0.0-update.md).

# Version 5.0.0 — Stats, TransferData, OpenRouter AI

*Platform version at time of release: 5.0.0 | Current platform: 7.1.2 · Telegram Bot API 10.1*

We're excited to announce the release of TeleBot Creator 5.0.0, featuring significant improvements to performance, stability, and functionality.

## Major Improvements

### ⏱️ Extended Command Runtime

* Commands can now run up to 160 seconds (increased from 120 seconds)
* Performance optimizations for better command execution
* Major bug fixes improving overall stability

### 📊 New Statistics Functions

Account and Bot classes now include powerful statistics tracking capabilities:

#### Account.getStats

This function allows you to retrieve user statistics across multiple bots in your account:

```python
# Get user statistics for all bots in your account
stats = Account.getStats()

# Get user statistics for specific time frames
stats = Account.getStats(time_frames=["24h", "7d", "30d"])

# Get user statistics for specific bots
stats = Account.getStats(bot_ids=["bot123456", "bot654321"])

# Combine both parameters
stats = Account.getStats(time_frames=["24h", "7d"], bot_ids=["bot123456"])
```

**Parameters:**

* `time_frames`: List of time frames to query (optional, default: \["24h"])
  * Format: "h" for hours or "d" for days (e.g., "24h", "7d")
  * Maximum time frame: 365 days
* `bot_ids`: List of bot IDs to query (optional, default: all bots in account)

**Returns:**

* Dictionary with time frames as keys and active user counts as values
* Example: `{"24h": 150, "7d": 350}`

#### Bot.getStats

Similar to Account.getStats but for a specific bot:

```python
# Get user statistics for current bot
stats = Bot.getStats()

# Get user statistics for specific time frames
stats = Bot.getStats(time_frames=["24h", "7d", "30d"])

# Get statistics for a specific bot with API key authentication
stats = Bot.getStats(bot_id="bot123456", api_key="your_api_key")
```

**Parameters:**

* `time_frames`: List of time frames to query (optional, default: \["24h"])
* `bot_id`: Bot ID to query (optional, default: current bot)
* `api_key`: API key for authentication when querying other bots (optional)

**Returns:**

* Dictionary with time frames as keys and active user counts as values
* Example: `{"24h": 150, "7d": 350}`

### 🔄 Data Transfer Functionality

The new TransferData function in the Account class allows you to transfer bot data between bots:

```python
# Transfer data from one bot to another
result = Account.TransferData(from_bot="source_bot_id", to_bot="destination_bot_id")
```

**Parameters:**

* `from_bot`: Source bot ID to transfer data from
* `to_bot`: Destination bot ID to transfer data to

**Returns:**

* Dictionary with operation status
* Success: `{"ok": True, "result": "Data transferred successfully"}`
* Failure: `{"ok": False, "result": "Error message"}`

### 🤖 OpenRouter AI Integration

OpenRouter API is now fully supported through the openai\_lib, with enhanced timeout capabilities:

```python
# Initialize OpenAI client with OpenRouter
API_KEY = "YOUR_OPENROUTER_API_KEY"
MESSAGE = "hello"

# Create client with extended timeout (up to 160 seconds)
client = libs.openai_lib.OpenAIClient(api_key=API_KEY, timeout=120)

# Initialize AI assistant with specific model
assistant = libs.openai_lib.AIAssistant(
    openai_client=client,
    model="meta-llama/llama-3.3-8b-instruct:free",
    system_message="You're helpful assistant."
)

# Send message and get response
response = assistant.send_message(MESSAGE)
response_text = str(response.get("content")[0]['text']['value'])
bot.sendMessage(response_text)
```

**Key Features:**

* Support for OpenRouter API with access to multiple AI models
* Extended timeout up to 160 seconds (configurable)
* Automatic error handling and retries
* System message customization
* Compatible with various models including Meta's Llama models

## Stability Improvements

* Enhanced bot optimization for better performance
* Improved error handling and logging
* Memory usage optimizations
* Fixed issues with long-running commands

## Upgrading

To take advantage of these new features, simply restart your bot or create a new one. All improvements are automatically available in your workspace.

## Feedback

As always, we value your feedback. If you encounter any issues or have suggestions for further improvements, please let us know through our support channels.