# TaskApi (Task APIs)

## getTaskId

Description...

```
TaskApi.getTaskId()
```

#### Parameters

```
None
```

#### Returns

```
Task ID
```

## cancelTasks

Description...

```
TaskApi.cancelTasks(ids)
```

#### Parameters

```
ids: list of IDs
```

#### Returns

```
Cancels the tasks and returns status in the form of an Object
```

## cancelTask

Description...

```
TaskApi.cancelTask(taskId)
```

#### Parameters

```
taskId: string
```

#### Returns

```
Cancels the task
```

## isMyExecutionCancelled

Description...

```
TaskApi.isMyExecutionCancelled()
```

#### Parameters

```
None
```

#### Returns

```
Boolean
```

## isMyFlowCancelled

Description...

```
TaskApi.isMyFlowCancelled()
```

#### Parameters

```
None
```

#### Returns

```
Boolean
```

## isMyTaskCancelled

Description...

```
TaskApi.isMyTaskCancelled()
```

#### Parameters

```
None
```

#### Returns

```
Boolean
```

## isMyTaskFailed

Description...

```
TaskApi.isMyTaskFailed()
```

#### Parameters

```
None
```

#### Returns

```
Boolean
```

## cancelRemoteRequest

Description...

```
TaskApi.cancelRemoteRequest(requestId)
```

#### Parameters

```
requestId: string
```

#### Returns

None. Cancels the request for the provided Request ID

## enqueueSvcRequest

Description...

```
TaskApi.enqueueSvcRequest(queueId, svcUrl, svcToken, serviceName, callbackFunctionName, methodName, serviceRequestBody, 
      context)
```

#### Parameters

```
queueId: string
svcUrl: string
svcToken: string
serviceName: string
callbackFunctionName: string
methodName: string
serviceRequestBody: dictionary
context: dictionary
```

#### Returns

```
// Some code
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://trillo.gitbook.io/trillo-workbench-python-sdk/taskapi-task-apis.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
