Hey everyone, I’m having some trouble with Azure AI Agents. I’m trying to use custom functions in an agent, but I’m running into an error. Here’s what’s going on:
I’ve set up some user-defined functions and put them in a ToolSet using FunctionTool. When I create an agent with this toolset, I get this error:
ValueError: Toolset is not available in the client.
The weird thing is, if I put all the code in one file, it works fine. But when I split it into separate files (like tools.py and main.py), I get the error.
I’ve made sure to import everything correctly and double-checked all my settings. Has anyone run into this before? How can I use a ToolSet from one file in an agent created in another file?
Any help would be great. Thanks!
I’ve encountered a similar issue when working with Azure AI Agents and custom functions. The ‘Toolset is not available in the client’ error can be tricky to diagnose, especially when splitting code across files.
One solution that worked for me was to ensure that the ToolSet is properly serialized and deserialized when passing between files. You might need to implement custom serialization methods for your ToolSet class.
Another approach is to use a configuration file (like JSON or YAML) to define your tools and functions. Then, in your main.py, you can load this configuration and dynamically create the ToolSet. This method can help maintain separation of concerns while avoiding serialization issues.
If these don’t work, you might want to check if there’s any circular import happening between your files. Sometimes, that can cause unexpected behavior with custom objects like ToolSets.
Lastly, make sure you’re using the latest version of the Azure AI SDK. There have been updates addressing similar issues in the past.
yo, ive run into this too. super annoying! Try wrapping ur toolset in a function and importing that. like:
def get_toolset():
return ToolSet(...)
ten in main.py just do:
from tools import get_toolset
agent = Agent(tools=get_toolset())
that fixed it 4 me. good luck!
I’ve wrestled with this issue too, and it can be a real pain. One thing that worked for me was using a singleton pattern for the ToolSet. Here’s what I mean:
In your tools.py, create a singleton class for your ToolSet:
class ToolSetSingleton:
_instance = None
@classmethod
def get_instance(cls):
if cls._instance is None:
cls._instance = ToolSet(...) # Your ToolSet initialization here
return cls._instance
Then in your main.py, you can do:
from tools import ToolSetSingleton
agent = Agent(tools=ToolSetSingleton.get_instance())
This ensures you’re always working with the same ToolSet instance across files. It solved the ‘not available in the client’ error for me.
Also, make sure your Azure AI SDK is up to date. They’ve fixed similar issues in recent versions. If you’re still stuck, try enabling debug logging - it can reveal some hidden quirks in the agent’s behavior.
I’ve dealt with this exact problem before. The issue likely stems from how Azure AI Agents handle module imports and object serialization across different files. A workaround I found effective is to create a separate module for initializing and managing your ToolSet. In this module, define a function that returns the fully constructed ToolSet.
Then, in your main.py, import this function and call it to get your ToolSet. This approach ensures that all necessary components are properly initialized within the same context. Additionally, make sure you’re not accidentally creating multiple instances of the client or agent. Sometimes, this can lead to inconsistencies in how tools are recognized.
If you’re still facing issues, consider using Azure’s built-in logging features to trace the execution flow. This can help pinpoint exactly where the ToolSet becomes unavailable. Remember, the Azure AI ecosystem is constantly evolving, so staying updated with the latest SDK version is crucial for avoiding such quirks.
I’ve encountered this issue before when working with Azure AI Agents across multiple files. One effective solution I found was to use a factory pattern for creating your ToolSet. Here’s how you can implement it:
In your tools.py file, create a factory function:
def create_toolset():
# Your ToolSet initialization logic here
return ToolSet(...)
Then in your main.py, import and use this factory function:
from tools import create_toolset
agent = Agent(tools=create_toolset())
This approach ensures that the ToolSet is created in the correct context each time it’s needed. It also helps maintain clean separation between your modules while avoiding serialization issues.
If you’re still experiencing problems, double-check your Azure AI SDK version and consider updating to the latest release. The development team often addresses these types of issues in newer versions.