Skip to main content

Documentation Index

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

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

Chunkr AI allows you to update the configuration of existing tasks. You can update a task either by its ID or using a task object.

​
Updating by Task ID

Use the update() method with a task ID when you have the ID stored: 
from chunkr_ai import Chunkr, Configuration
chunkr = Chunkr()

# Update task with new configuration
new_config = Configuration(
    # your configuration options here
)

# Update and wait for processing
task = chunkr.update("task_123", new_config)

​
Updating from TaskResponse Object

If you have a task object (from a previous get_task() or create_task()), you can update it directly: 
# Get existing task
task = chunkr.get_task("task_123")

# Update configuration
new_config = Configuration(
    # your configuration options here
)

# Update and wait
task = task.update(new_config)

​
Immediate vs. Waited Updates

Like task creation, you have two options for updates:

​
Wait for Processing

The standard update() method waits for processing to complete: 
# Updates and waits for completion
task = chunkr.update("task_123", new_config)
print(task.status) # Will be "Succeeded"

​
Immediate Response

Use update_task() for an immediate response without waiting: 
# Updates and returns immediately
task = chunkr.update_task("task_123", new_config)
print(task.status) # Might be "Starting"

# Get status later
result = task.poll()

​
Async Usage

For async applications, use await with the update methods: 
# Update and wait
task = await chunkr.update("task_123", new_config)

# Update without waiting
task = await chunkr.update_task("task_123", new_config)
result = await task.poll() # Check status later