import os
from datagrid_ai import Datagrid

client = Datagrid(
    api_key=os.environ.get("DATAGRID_API_KEY"),  # This is the default and can be omitted
)
voice_session_response = client.voice.start_session()
print(voice_session_response.agent_id)

import Datagrid from 'datagrid-ai';

const client = new Datagrid({
  apiKey: process.env['DATAGRID_API_KEY'], // This is the default and can be omitted
});

const voiceSessionResponse = await client.voice.startSession();

console.log(voiceSessionResponse.agent_id);

curl --request POST \
  --url https://api.datagrid.com/v1/voice \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "agent_id": "<string>",
  "conversation_id": "<string>",
  "config": {
    "system_prompt": "<string>",
    "custom_prompt": "<string>"
  },
  "file_ids": [
    "<string>"
  ],
  "secret_ids": [
    "<string>"
  ],
  "knowledge_ids": [
    "<string>"
  ],
  "page_ids": [
    "<string>"
  ],
  "user": {
    "first_name": "<string>",
    "last_name": "<string>",
    "email": "<string>"
  },
  "initial_context": "<string>",
  "initial_message": "<string>",
  "ephemeral": false,
  "voice_config": {
    "voice_preset": "<string>",
    "silence_commit_ms": 123,
    "segment_max_duration_ms": 123,
    "silence_discard_ratio": 123,
    "input_transcription": true,
    "output_transcription": true,
    "silence_timeout": true,
    "silent_start": true
  }
}
'

{
  "object": "voice.session",
  "url": "<string>",
  "agent_id": "<string>",
  "start_message": {}
}

{
  "status_code": 123,
  "error": "rate_limit_exceeded",
  "message": "<string>",
  "retryable": true,
  "statusCode": 123,
  "mitigation": "<string>",
  "details": {
    "reason": "<string>"
  }
}