Are you sure you want to delete this access key?
Feature | Available |
---|---|
Tools | No |
Multimodal | No |
Chat UI can connect to the google Vertex API endpoints (List of supported models).
To enable:
The service account credentials file can be imported as an environmental variable:
GOOGLE_APPLICATION_CREDENTIALS = clientid.json
Make sure your docker container has access to the file and the variable is correctly set. Afterwards Google Vertex endpoints can be configured as following:
MODELS=`[
{
"name": "gemini-1.5-pro",
"displayName": "Vertex Gemini Pro 1.5",
"endpoints" : [{
"type": "vertex",
"project": "abc-xyz",
"location": "europe-west3",
"extraBody": {
"model_version": "gemini-1.5-pro-002",
},
// Optional
"safetyThreshold": "BLOCK_MEDIUM_AND_ABOVE",
"apiEndpoint": "", // alternative api endpoint url,
"tools": [{
"googleSearchRetrieval": {
"disableAttribution": true
}
}]
}]
}
]`
Or use the Gemini API API provider from:
Make sure that you have an API key from Google Cloud Platform. To get an API key, follow the instructions here.
You can either specify them directly in your .env.local
using the GOOGLE_GENAI_API_KEY
variables, or you can set them directly in the endpoint config.
You can find the list of models available here, and experimental models available here.
MODELS=`[
{
"name": "gemini-1.5-flash",
"displayName": "Gemini Flash 1.5",
"multimodal": true,
"endpoints": [
{
"type": "genai",
// Optional
"apiKey": "abc...xyz"
"safetyThreshold": "BLOCK_MEDIUM_AND_ABOVE",
}
]
},
{
"name": "gemini-1.5-pro",
"displayName": "Gemini Pro 1.5",
"multimodal": false,
"endpoints": [
{
"type": "genai",
// Optional
"apiKey": "abc...xyz"
}
]
}
]`
Press p or to see the previous file or, n or to see the next file
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?