Generate Eino/CALM AI draft reply

POST/v1/ai/draft

Authorization

bearerAuthbearerAuthrequired

apiKeyAuthapiKeyAuthrequired

Request body

requiredapplication/json

conversation_contextstring

conversation_idstring

messagesAIDraftMessageInput[] | null

Show properties

Array of AIDraftMessageInput

contentstringrequired

Message content

rolestring

Message role (customer/agent/system)

Responses

200OK

draftstringrequired

400Bad Request

errorErrorBodyrequired

Show properties

codestringrequired

detailsErrorDetail[] | null

Show properties

Array of ErrorDetail

codestring

fieldstring

locationstring

messagestringrequired

request_idstring

401Unauthorized

errorErrorBodyrequired

Show properties

codestringrequired

detailsErrorDetail[] | null

Show properties

Array of ErrorDetail

codestring

fieldstring

locationstring

messagestringrequired

request_idstring

403Forbidden

errorErrorBodyrequired

Show properties

codestringrequired

detailsErrorDetail[] | null

Show properties

Array of ErrorDetail

codestring

fieldstring

locationstring

messagestringrequired

request_idstring

422Unprocessable Entity

errorErrorBodyrequired

Show properties

codestringrequired

detailsErrorDetail[] | null

Show properties

Array of ErrorDetail

codestring

fieldstring

locationstring

messagestringrequired

request_idstring

500Internal Server Error

errorErrorBodyrequired

Show properties

codestringrequired

detailsErrorDetail[] | null

Show properties

Array of ErrorDetail

codestring

fieldstring

locationstring

messagestringrequired

request_idstring

Request

curl -X POST "/v1/ai/draft" \
  -H "Content-Type: application/json" \
  -d '{
  "conversation_context": "string",
  "conversation_id": "string",
  "messages": [
    {
      "content": "string",
      "role": "string"
    }
  ]
}'

const response = await fetch("/v1/ai/draft", {
  method: "POST",
  headers: {
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
  "conversation_context": "string",
  "conversation_id": "string",
  "messages": [
    {
      "content": "string",
      "role": "string"
    }
  ]
})
});

import requests

response = requests.post(
    "/v1/ai/draft",
    headers={
        "Content-Type": "application/json"
    },
    json={
  "conversation_context": "string",
  "conversation_id": "string",
  "messages": [
    {
      "content": "string",
      "role": "string"
    }
  ]
},
)

Response

{
  "draft": "string"
}

{
  "error": {
    "code": "string",
    "details": [
      {
        "code": "string",
        "field": "string",
        "location": "string",
        "message": "string"
      }
    ],
    "message": "string",
    "request_id": "string"
  }
}

{
  "error": {
    "code": "string",
    "details": [
      {
        "code": "string",
        "field": "string",
        "location": "string",
        "message": "string"
      }
    ],
    "message": "string",
    "request_id": "string"
  }
}

{
  "error": {
    "code": "string",
    "details": [
      {
        "code": "string",
        "field": "string",
        "location": "string",
        "message": "string"
      }
    ],
    "message": "string",
    "request_id": "string"
  }
}

{
  "error": {
    "code": "string",
    "details": [
      {
        "code": "string",
        "field": "string",
        "location": "string",
        "message": "string"
      }
    ],
    "message": "string",
    "request_id": "string"
  }
}

{
  "error": {
    "code": "string",
    "details": [
      {
        "code": "string",
        "field": "string",
        "location": "string",
        "message": "string"
      }
    ],
    "message": "string",
    "request_id": "string"
  }
}