To ensure the efficient operation of Deep Agents, the following should be noted:
- Network Stability: Some functions (e.g. search) rely on external APIs and require a stable internet connection.
- API Key Security: Avoid uploading .env files containing keys to public repositories; key permissions should be restricted in production environments.
- Dependency management: Upgrade pip regularly and use the virtual environment, if there is a conflict try rebuilding the environment.
- Community & Updates: Get support via GitHub Issues or Discord and follow project updates to fix potential issues.
- Offline Restrictions: Core functions (e.g. planning) are supported offline, but functions such as searching require an internet connection and rely on local LLM configuration.
Following these precautions will reduce barriers to use and take full advantage of Deep Agents' capabilities.
This answer comes from the articleDeep Agents: a Python toolkit for rapidly building AI agents for complex tasksThe
May not be reproduced without permission:AI productivity tools " What are the special considerations when using Deep Agents?
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