Basic Slack Integration for Nevron Framework

[gromdimon]

Is your feature request related to a problem? Please describe.
Currently, the Nevron framework lacks integration with Slack, a widely used communication platform. This limitation prevents our autonomous AI agents from interacting with users and channels within Slack, thereby reducing their effectiveness in environments where Slack is the primary communication tool.

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Describe the solution you'd like
Implement a basic Slack integration to enable the following features:

• Message Reception: Allow agents to receive messages from specified Slack channels or direct messages.
• Message Sending: Enable agents to send messages to specific channels or users.

The implementation should:

• Utilize the [Python Slack SDK](https://github.com/slackapi/python-slack-sdk) for interacting with Slack's API.
• Include functions for:
  • Initialization: Authenticate and establish a connection to the Slack workspace using a bot token.
  • Message Handling: Listen for incoming messages and process them appropriately.
  • Message Sending: Send messages to designated channels or users.

Additionally:

• Develop tests to ensure the integration functions as intended, covering scenarios such as message reception and sending.
• Provide documentation detailing the setup process, usage examples, and necessary configurations.
• Include TODOs for future enhancements, such as handling file uploads, reacting to messages, or managing interactive components.

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Describe alternatives you've considered
An alternative approach could involve using webhooks for sending messages to Slack. However, this method would not support bi-directional communication, limiting the agent's ability to receive and process messages from Slack users.

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Additional context
Reference: The [Eliza Slack client](https://github.com/gromdimon/eliza/tree/main/packages/client-slack) provides an example of integrating with Slack in TypeScript. This can serve as inspiration for developing a Python-based integration using the Python Slack SDK.

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Specifications:

1. Python Library: Python Slack SDK for interacting with Slack's API.

2. Functions to Implement:

   • initialize_slack_client(bot_token: str) -> WebClient: Authenticates and returns a Slack WebClient instance.
   • listen_for_messages(client: WebClient, callback: Callable) -> None: Listens for incoming messages and passes them to a callback function for processing.
   • send_message(client: WebClient, channel_id: str, message: str) -> None: Sends a message to a specified Slack channel or user.

3. Testing:

   • Mock Slack API interactions using testing frameworks to simulate API responses.
   • Create tests for:
     • Successful client initialization with a valid bot token.
     • Receiving messages from channels or users.
     • Sending messages to channels or users.

4. Documentation:

   • Provide a setup guide for configuring the Slack integration, including obtaining a bot token and necessary permissions.
   • Include usage examples demonstrating how to:
     • Initialize the Slack client.
     • Listen for and process incoming messages.
     • Send messages to channels or users.

5. TODOs for Future Enhancements:

   • Implement file upload capabilities.
   • Add support for reacting to messages with emojis.
   • Manage interactive components such as buttons and menus.
   • Enhance error handling and retry mechanisms for API interactions.

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This feature request outlines a foundational integration with Slack, enabling Nevron's autonomous AI agents to interact within Slack workspaces and enhancing their communication capabilities.