Manage Your AI Workforce

Designed to allow Relevance AI users to manage their Relevance AI environments locally and deploy from files or Git to any Relevance AI project.

Note: This codebase is not designed to be used as a package or imported into your project. Use these functions as your building blocks to create your CI-CD pipelines.

Usage

The package can be used in two major ways:

1. Exporting your assets from a Relevance AI project to Local Files

The example script examples/from_relevanceai_to_local.py fetches agents and tools (with optional support for knowledge sets) from your Relevance AI project and writes them to local JSON files. This helps you:

2. Pushing Local file assets to a Relevance AI project

The example script examples/from_local_to_relevanceai.py reads local JSON files (for agents and tools) and pushes them to your production Relevance AI environment. This is useful for:

3. Retrigger Failed Conversations

The example script examples/trigger_conversations_from_failure.py shows how you can identify and regenerate conversations that have errored, starting them from just before the last error.

4. Agent costs of past conversations between a given timeframe.

The example script examples/get_agent_conversation_costs.py calculates the costs of past conversations for a given agent within a specified timeframe. This is useful for understanding the cost distribution and usage patterns of your agents over time. Note: May not properly count subagents' costs.

API Functions

The package provides core functions to interact directly with the Relevance AI API:

• Agents

  • get_all_agents
  • create_agent
  • get_agent_tools
  • delete_agent
  • update_agent
  • schedule_message_to_agent
  • get_agent_analytics
  • save_agents_to_file

• Knowledge

  • get_all_knowledge
  • get_knowledge
  • delete_knowledge
  • add_knowledge_data
  • get_knowledge_metadata

• Tools

  • get_tool
  • get_all_tools
  • create_tools
  • delete_tools
  • get_tool_run_history
  • trigger_tool
  • poll_tool_run
  • update_tool
  • save_tools_to_file

• Conversations

  • get_conversations
  • get_list_conversation_studio_history
  • get_conversation_actions
  • retrigger_conversation_after_message
  • trigger_agent_debug_conversation
  • get_trigger_message
  • get_conversations_where_specific_tool_failed
  • get_conversations_between_dates

• Snippets

  • upsert_snippet

Contributing

Contributions to enhance features or extend functionality are welcome! If you have suggestions or improvements, please open an issue or submit a pull request.

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Manage your environment seamlessly with manage-aiworkforce.