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POST
/
v1
/
ai
/
agents
/
tasks
Create an AI Agent Task
curl --request POST \
  --url https://eu1.api.matillion.com/dpc/v1/ai/agents/tasks \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "agentConfig": {
    "name": "data_engineer_agent",
    "environmentName": "development",
    "mode": "ACT",
    "projectId": "550e8400-e29b-41d4-a716-446655440001",
    "sourceBranchName": "main",
    "generateBranch": true,
    "graphId": "my-pipeline",
    "targetBranchName": "feature/my-pipeline",
    "workingDirectory": "/pipelines"
  },
  "message": "Build a pipeline to load sales data from S3 into Snowflake",
  "grantedPermissions": [
    {
      "toolName": "execute_sql"
    }
  ]
}
'
{
  "taskId": "550e8400-e29b-41d4-a716-446655440000",
  "status": "RUNNING",
  "agentName": "data_engineer_agent",
  "createdAt": "2024-01-15T10:30:00.000Z"
}

Documentation Index

Fetch the complete documentation index at: https://docs.maia.ai/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

a valid bearer token

Body

application/json
​
agentConfig
object
required

Configuration specifying the agent type and its parameters

​
message
string
required

The instruction or question to send to the agent

Minimum string length: 1
Example:

"Build a pipeline to load sales data from S3 into Snowflake"

​
grantedPermissions
object[] | null

Permissions pre-granted to the agent for this task. Each entry must be unique

Response

Agent task created successfully

​
agentName
string

The name of the agent handling the task

Example:

"data_engineer_agent"

​
createdAt
string<date-time>

The date and time the task was created

Example:

"2024-01-15T10:30:00.000Z"

​
status
enum<string>

The current status of the task

Available options:
RUNNING,
STOPPED,
STOPPING,
ERRORED
Example:

"RUNNING"

​
taskId
string<uuid>

The unique identifier of the created task

Example:

"550e8400-e29b-41d4-a716-446655440000"