Copilot: Configuration
Copilot uses a Bring Your Own Model approach. To use the feature, your organization must provide access to a supported Large Language Model (LLM).
An administrator must configure Copilot so that users can access it.
Before you begin
Make sure you have:
- An account with a supported LLM vendor.
- Access to the model you want Copilot to use.
- Valid connection parameters to connect and authenticate requests to the LLM vendor (e.g. API keys, urls, etc. see tables below).
The availability and cost of a model depend on the selected LLM vendor.
Configure Copilot
To configure Copilot:
- Open Settings.
- Select Copilot Configuration.
- Fill the configuration fields (it depends on the vendor, see the dedicated section below).
- Select Save.
After the configuration is saved, Copilot uses the selected model to process users' requests.
Configuration fields
You first need to choose your LLM Vendor via the "Vendor" field. Supported vendors include Google, Anthropic, OpenAI, Mistral, Azure OpenAI and AWS Bedrock. We also support connecting to a LLM via Ollama (use the "Custom" vendor option). According to the vendor, different fields are available to connect to the LLM.
⚠️ API keys are sensitive credentials. Do not share them or include them in screenshots, support requests, or other documentation.
Google, OpenAI or Mistral
| Field | Description |
|---|---|
| Model | The name or identifier of the model that Copilot will use. The configured account must have access to this model. |
| API key | The API key to use when making requests to the vendor. |
| URL (optional) | The base url of the API to use for requests to the vendor (useful for on-premise setups). |
Anthropic
| Field | Description |
|---|---|
| Model | The name or identifier of the model that Copilot will use. The configured account must have access to this model. |
| API key | The API key to use when making requests to the vendor. |
Azure OpenAI
| Field | Description |
|---|---|
| API key | The credential used to authenticate requests. |
| URL | Base url for Azure OpenAI API. e.g. setting this value to "https://westeurope.api.cognitive.microsoft.com/openai/deployments" will be result in the endpoint URL: https://westeurope.api.cognitive.microsoft.com/openai/deployments/{DeploymentName}/ |
| Deployment Name | Azure OpenAI API deployment name to use for completions when making requests to Azure OpenAI. This is the name of the deployment you created in the Azure portal. e.g. "my-openai-deployment" this will be used in the endpoint URL: https://{InstanceName}.openai.azure.com/openai/deployments/my-openai-deployment/ |
| API Version | API version to use when making requests to Azure OpenAI. |
AWS Bedrock
| Field | Description |
|---|---|
| Model | Model to use. For example, "anthropic.claude-haiku-4-5-20251001-v1:0", this is equivalent to the modelId property in the list-foundation-models api. See the full list of models. |
| Access Key ID | AWS access key ID. |
| Secret Access Key | AWS secret access key. |
| URL (optional) | The base url of the API to use for requests (useful for on-premise setups). |
| Region | The AWS region e.g. us-west-2. |
Custom (Ollama)
| Field | Description |
|---|---|
| Model | The model to invoke. |
| URL | The host URL of the Ollama server. |