POST
/
api
/
alph
/
{server_name}
/
gemini
curl --request POST \
  --url https://dashboard.amdatascience.com/api/alph/{server_name}/gemini \
  --header 'Content-Type: application/json' \
  --header 'apiKey: <api-key>' \
  --data '{
  "messages": [
    {
      "content": "hi",
      "role": "user"
    }
  ]
}'
"0:\"Hello there! My name is Agent Alph, and I'm here to assist\"\n0:\" you with your data science and AI/ML engineering needs.\\n\\nIt looks like you're currently working in the \\\"ai\\\" environment on the \\\"amds\"\n0:\"-medium_cpu\\\" server. This environment is specifically designed for working with AI tools and SDKs, including AlphAI, OpenAI/Anthropic/Cohere SDKs, Scikit Learn, pandas, and numpy.\\n\\nHere are some helpful resources to get you started:\\n\\n* [AlphAI documentation](\"\n0:\"https://docs.alphai.com/)\\n* [OpenAI documentation](https://beta.openai.com/docs/api-reference)\\n* [Anthropic documentation](https://docs.anthropic.com/)\\n* [Cohere documentation](https://docs.cohere.ai/)\\n* [Scikit Learn documentation](https://scikit-learn.org/stable/)\\n* [Pandas documentation](https://pandas.pydata.org/docs/)\\n* [NumPy documentation](https://numpy.org/doc/)\\n\\nIf you have any specific questions or need further assistance, please\"\n0:\" don't hesitate to ask. I'm here to help you succeed in your data science and AI/ML projects.\"\n"

Authorizations

apiKey
string
headerrequired

Path Parameters

server_name
string
required

Body

application/json
messages
object[]

Response

200 - text/plain

The response is of type file.