Now Reading: {How to} Use your own model when generating responses in copilot studio.
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{How to} Use your own model when generating responses in copilot studio.
Hello Everyone,
Today i am going to share my thoughts on how to use your own model when generating responses in copilot studio.
Let’s get’s started.
In Copilot Studio, you can enhance AI behavior and responses by integrating your own custom model instead of relying on the default GPT based assistant. This is particularly useful for organizations that have domain specific data, proprietary language models, or unique use cases that require tailored AI responses. By using own model, you gain greater control over responses logic, accuracy and compliance with general standards or regulations.
To use your own model in Copilot Studio, you typically configure it through plugin actions or APIs.
This involves settings up an external endpoint where your model is hosted(e.g., Azure ML, AWS SageMaker, or a self-hosted REST API). Then you create a plugin in Copilot Studio that calls your model’s API, passing in user input and returning the model’s responses.
You can then use this plugin as a custom action in topics, ensuring your bot routes user queries through your specific model when needed.
+———————+
| User Message |
+———————+
|
v
+————————–+
| Copilot Studio Topic |
+————————–+
|
v
+————————–+
| Custom Plugin Action | <– Calls your model
+————————–+
|
v
+————————–+
| Your Custom Model (API) |
+————————–+
|
v
+————————–+
| Response to Copilot |
+————————–+
|
v
+————————–+
| User Receives |
| Model’s Response |
+————————–+
This setup allows you to combine Copilot’s powerful orchestration tools with the unique reasoning and training of your own AI models.
That’s it for today.
Malla Reddy Gurram(@aka UK365GUY)
#365blogpostsin365days
Original Post https://mscrmgmr.blogspot.com/2025/06/how-to-use-your-own-model-when.html
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