Basic Lens Protocol Integration for Nevron Framework

[gromdimon]

Is your feature request related to a problem? Please describe.
Currently, the Nevron framework lacks integration with the Lens Protocol, a decentralized social graph that enables the development of Web3 social applications. Incorporating Lens Protocol integration would allow our autonomous AI agents to interact with decentralized social networks, enhancing their capabilities in the Web3 ecosystem.

Important

We just need an integration, not new workflow, which will actually utilize it.
Also don't forget to wrap the tool in beatiful client

---

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

• Profile Interaction: Retrieve and manage user profiles within the Lens ecosystem.
• Content Publication: Enable agents to publish content (e.g., posts) to the Lens network.
• Content Retrieval: Fetch and process content from the Lens network for analysis or response generation.

The implementation should:

• Utilize the [LensPy](https://pypi.org/project/LensProtocolPy/) library, a Python library designed for interacting with the Lens Protocol .
• Include functions for:
  • Initialization: Set up the connection to the Lens Protocol using appropriate authentication mechanisms.
  • Profile Management: Retrieve and manage profiles within the Lens ecosystem.
  • Content Publishing: Publish content to the Lens network.
  • Content Retrieval: Fetch content from the Lens network for processing.

Additionally:

• Develop tests to ensure the integration functions as intended, covering scenarios such as profile retrieval, content publication, and content fetching.
• Provide documentation detailing the setup process, usage examples, and any necessary configurations.
• Include TODOs for future enhancements, such as advanced content interactions, real-time updates, or integration with other Web3 protocols.

---

Describe alternatives you've considered
An alternative approach could involve directly interfacing with the Lens Protocol's GraphQL API. However, utilizing the LensPy library abstracts much of the complexity, streamlining development and reducing potential errors.

---

Additional context
Reference: The [Eliza Lens client](https://github.com/elizaos-plugins/client-lens) provides an example of integrating with the Lens Protocol in TypeScript . This can serve as inspiration for developing a Python-based integration using LensPy.

---

Specifications:

1. Python Library: [LensPy](https://pypi.org/project/LensProtocolPy/) for interacting with the Lens Protocol .

2. Functions to Implement:

   • initialize_connection(auth_credentials: dict) -> None: Establishes a connection to the Lens Protocol using provided authentication credentials.
   • get_profile(profile_id: str) -> dict: Retrieves profile information for a given profile ID.
   • publish_content(profile_id: str, content: str) -> dict: Publishes content to the Lens network under the specified profile.
   • fetch_content(query_params: dict) -> list: Fetches content from the Lens network based on query parameters.

3. Testing:

   • Mock interactions with the Lens Protocol using testing frameworks to simulate API responses.
   • Create tests for:
     • Successful connection initialization.
     • Profile retrieval with valid and invalid IDs.
     • Content publication and verification of successful posting.
     • Content retrieval with various query parameters.

4. Documentation:

   • Provide a setup guide for configuring the Lens Protocol integration, including authentication setup and necessary dependencies.
   • Include usage examples demonstrating how to:
     • Initialize the connection.
     • Retrieve and manage profiles.
     • Publish content to the Lens network.
     • Fetch and process content from the Lens network.

5. TODOs for Future Enhancements:

   • Implement real-time content updates and notifications.
   • Support for advanced content interactions, such as comments and reactions.
   • Integration with other Web3 protocols to expand agent capabilities.
   • Enhanced error handling and retry mechanisms for network interactions.

---

This feature request outlines a foundational integration with the Lens Protocol, enabling Nevron's autonomous AI agents to participate in decentralized social networks and paving the way for future enhancements in the Web3 space.