I’m facing issues with Azure AI Agents. I created custom functions and bundled them in a ToolSet, but when I use it from another file, I encounter an error.
Here’s the process:
- I define the
ToolSet in one file, say tools.py.
- I import it in another file,
main.py, to build the agent.
- Running the code shows:
ValueError: Toolset is not available in the client.
The odd part is that when I combine all the code in one file, the error disappears. It indicates the problem lies in using the ToolSet across modules.
I’ve ensured that everything is imported correctly and the settings are in order, but I’m still stuck. Does anyone have insights on why this error occurs and how to address it so my ToolSet from tools.py works seamlessly in main.py?
Any suggestions are appreciated!
have u tried using a singleton pattern for ur Azure client? it could help maintain consistency across modules. also, make sure ur not accidentally creating multiple instances of ToolSet. sometimes that causes weird errors. if nothing else works, try wrapping ur ToolSet in a custom class that handles serialization. good luck!
I’ve dealt with this exact problem in a recent project. The key is to ensure proper serialization of your ToolSet. When you define your ToolSet in tools.py, make sure you’re using Azure’s serialization methods, not just standard Python imports.
Try using the azure.ai.ml.entities.Tool.load() method in your main.py to load the ToolSet you defined in tools.py. This approach maintains the integrity of the ToolSet across module boundaries.
Also, double-check your Azure role assignments. Sometimes, this error crops up due to insufficient permissions at the service principal level, especially when operating across different modules.
If you’re still stuck, consider using Azure’s unified configuration approach. It centralizes your settings and can help resolve cross-module discrepancies. Good luck!
hey ameliat, sounds like a pain! I’ve run into similar issues. have u tried explicitly importing the ToolSet class from azure.ai.ml.agents in both files? sometimes that helps. also double check ur azure config is set up right in both files. if nothing works, maybe try posting ur code snippets so we can take a look?
I’ve encountered this issue before when working with Azure AI Agents across modules. One potential solution is to ensure that you’re using the same Azure client instance in both files. Try creating the client in your main.py and passing it as an argument when initializing your ToolSet in tools.py. This way, you maintain a consistent client across your modules.
Another approach is to use a configuration file or environment variables to store your Azure credentials and settings. Then, in both files, you can load these configurations to create identical client instances. This method often resolves cross-module issues and improves overall code organization.
If these suggestions don’t work, consider reviewing your Azure service principal permissions. Sometimes, the error can occur due to insufficient permissions when accessing resources across different modules.