Convo offers a "Five Minute Rapid Integration" program with the following steps:
- environmental preparation
- Ensure Python ≥ 3.8 environment
- LangGraph project infrastructure already in place
- SDK Installation
- fulfillment
pip install convoInstall the latest SDK - Importing in code
from convo import ConvoAgent
- fulfillment
- Initialization Configuration
- Get the API key from the official website
- Creates an instance of the agent:
agent = ConvoAgent(api_key="your_key", logging_enabled=True)
- Functional Testing
- Run the official sample code to verify the core functionality
- Check that the instrument panel is receiving data properly
It is recommended that the following basic features be enabled immediately after integration:
- Automatic logging (parameterized at initialization)
- Error alerts (configure email notifications in dashboard)
- First checkpoint save (added at major business process node)
The official website provides SDKs and troubleshooting guides for each language, and it is recommended to prioritize the "Common Integration Problems" document when encountering problems.
This answer comes from the articleConvo: Logging and Debugging Tools for Building Intelligent AI AgentsThe
May not be reproduced without permission:AI productivity tools " As a developer, how can I quickly integrate Convo into an existing LangGraph project?
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