GitHub Action - Update examples in docs from notebooks

[github-actions]

🔍 Review Summary

Purpose

Improve the documentation for Camel AI and Langchain examples to enhance user experience and comprehension when following the examples.

Changes

• Documentation Enhancements

  • Camel AI Example:

    • Refined narrative and code comments for better understanding.
    • Added detailed setup instructions for:
      • Environment configuration.
      • AgentOps client initialization.
      • Multi-agent session execution.
    • Improved clarity in task prompt setup and session management.

  • Langchain Example:

    • Clarified documentation with additional line breaks for improved readability.
    • Provided guidance on using the AgentOpsLangchainCallbackHandler.

Impact

• User Experience:
  • Enhances user experience and comprehension when setting up and running multi-agent sessions for the Camel AI example.
  • Provides improved readability and guidance for using the AgentOpsLangchainCallbackHandler in the Langchain example.

Original Description

No existing description found

[entelligence-ai-pr-reviews]

Walkthrough

This update focuses on improving the documentation for Camel AI and Langchain examples. The Camel AI example now provides more comprehensive instructions for setting up and running a multi-agent session, with enhanced narrative and code comments to aid user understanding. The Langchain example documentation has been refined with minor clarifications and improved readability, particularly in guiding users on the use of the AgentOpsLangchainCallbackHandler. These changes are designed to enhance user experience and comprehension when following the examples.

Changes

File(s)	Summary
docs/v1/examples/camel.mdx	Enhanced the Camel AI example with refined narrative and code comments. Added detailed setup instructions for the environment, AgentOps client initialization, and multi-agent session execution. Improved clarity in task prompt setup and session management.
docs/v1/examples/langchain.mdx	Clarified Langchain example documentation with additional line breaks for readability and guidance on using the AgentOpsLangchainCallbackHandler.

🔗 Related PRs

• Reorganize Dependencies and CI packaging #540: The update introduces a new [dependency-groups] structure following PEP 735, relocates the tach package to a ci group, and modifies the GitHub action for CI dependency installation, ensuring the CI workflow runs successfully without altering the development setup.
• [Docs] Update and clean existing docs for better readability #558: The update enhances integration documentation for better readability and developer experience, including new pages for AI21, Groq, and Mistral AI, alongside structural improvements and example updates.
• version bump #546: The pull request on GitHub describes changes made and outlines the testing performed to validate those changes.
• [Docs] OpenAI Integration docs for the website #549: The pull request adds a documentation page for OpenAI with code examples, addresses issues [Docs]: OpenAI documentation #470 and [Bug]: Type mismatch in OpenAI example notebook #548, and includes minor updates to other documentation. Testing was done locally, with further tasks outlined for completion.

Instructions

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• ⚠️ Potential Issue - May require further investigation.
• 🔒 Security Vulnerability - Fix to ensure system safety.
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• 🔨 Refactor Suggestion - Recommendations for restructuring code.
• ℹ️ Others - General comments and information.

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[dot-agi]

LGTM