crewAI/docs/telemetry/Telemetry.md

Telemetry

CrewAI uses anonymous telemetry to collect usage data with the main purpose of helping us improve the library by focusing our efforts on the most used features, integrations and tools.

There is NO data being collected on the prompts, tasks descriptions agents backstories or goals nor tools usage, no API calls, nor responses nor any data that is being processed by the agents, nor any secrets and env vars.

Data collected includes:

• Version of crewAI
  • So we can understand how many users are using the latest version
• Version of Python
  • So we can decide on what versions to better support
• General OS (e.g. number of CPUs, macOS/Windows/Linux)
  • So we know what OS we should focus on and if we could build specific OS related features
• Number of agents and tasks in a crew
  • So we make sure we are testing internally with similar use cases and educate people on the best practices
• Crew Process being used
  • Understand where we should focus our efforts
• If Agents are using memory or allowing delegation
  • Understand if we improved the features or maybe even drop them
• If Tasks are being executed in parallel or sequentially
  • Understand if we should focus more on parallel execution
• Language model being used
  • Improved support on most used languages
• Roles of agents in a crew
  • Understand high level use cases so we can build better tools, integrations and examples about it
• Tools names available
  • Understand out of the publically available tools, which ones are being used the most so we can improve them

Users can opt-in sharing the complete telemetry data by setting the share_crew attribute to True on their Crews.