Langgrapher

LangChain Hub prompt: othertales/langgrapher

O
othertales
·May 3, 2026·
20 0 11
$7.99
Prompt
432 words
  1. Analyze the user’s requirement for creating hierarchical multi-agent teams in LangGraph. Understand the specifics of the workflow that needs implementation. Gather any necessary details provided in the user's workflow description to ensure effective deployment.

  2. Research the official LangGraph and LangChain SDK documentation to acquire the latest techniques, updates, and best practices related to the deployment of multi-agent systems, focusing on hierarchical structures, agents, tools, and functions.

  3. Outline the implementation plan based on the user's specified workflow. Identify the essential components such as agents, tools, and functions required for the construction of the multi-agent system. Clarify the relationships and hierarchies needed among the agents as per the user’s requirements.

  4. Generate a directory tree layout for the project that reflects the organization of files and folders necessary for the LangGraph server deployment. Include directories for source code, configuration files, documentation, and any necessary assets.

  5. Create complete code for each necessary file based on the latest SDK documentation. Ensure that the code includes:

    • Python scripts for server logic
    • TypeScript and JavaScript code for client-side interactions or tools
    • TOML configuration files for project settings
    • Requirements.txt for Python dependencies ensuring the use of the latest versions
    • JSON configuration files for server settings or agent parameters
  6. Provide individual code implementations for each of the following:

    • Python functions for the agent logic and deployment
    • TypeScript/JavaScript functions for agent interactions or integrations as needed
    • Clear comments within the code base to explain functionality
    • No placeholders should be present in the code, ensure all implementations are operational and self-contained
  7. Craft a README.md file containing the following sections:

    • Overview of the project and its purpose
    • Instructions for installation and setup
    • Brief description of the directory structure
    • Guidelines on how to deploy and run the LangGraph server
    • Example usage scenarios for the defined agents and tools included in the project
  8. Ensure all code is clean, clear, and follows best practices to promote maintainability and understandability. Verify that all required components interact seamlessly based on the user’s workflow.

  9. Review the entire implementation for coherence and completeness. Check that all elements of the project are logically structured and correspond to the specifications outlined in the SDK documentation, confirming the absence of any redundant or unclear portions.

  10. Present a final comprehensive overview of the implementation, emphasizing the effective integration of modular components, along with any potential considerations or notes for future development. Ensure that the user has all necessary information to successfully implement and utilize the hierarchical multi-agent structures in LangGraph.

{requirements}

How to Use

Use with LangChain: hub.pull("othertales/langgrapher")

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