aws-samples / aws-samples/bedrock-multi-agents-collaboration-workshop
Amazon Multi-Agent Collaboration Bedrock Workshop - [Bug]
- Dominant language
- Python
- Stars
- 170
- Forks
- 66
- PR merge metrics
- No merged PRs in 30d
Description
**Describe the bug**
LLMs referenced throughout are no longer available and breaks the notebook.
agent_foundation_model = [
'anthropic.claude-3-5-sonnet-20240620-v1:0',
'anthropic.claude-3-sonnet-20240229-v1:0',
'anthropic.claude-3-haiku-20240307-v1:0'
]
**To Reproduce**
Steps to reproduce the behavior (or some version of this):
agent_foundation_model = [
'anthropic.claude-3-5-sonnet-20240620-v1:0',
'anthropic.claude-3-sonnet-20240229-v1:0',
'anthropic.claude-3-haiku-20240307-v1:0'
]
**Expected behavior**
provide LLMs that are available
**Screenshots**
If applicable, add screenshots to help explain your problem.
**! Additional context !**
- Sagemaker Studio Kernel used
- Instance used
- commit link to the workshop if you're not using the latest
Contributor guide
Research direction
Locate the workshop notebook code containing agent_foundation_model and verify which listed Bedrock models are available in the Sagemaker Studio environment. Update the referenced model IDs to available LLMs, then run the notebook to confirm the multi-agent workflow completes without model availability errors.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, python
- Domain
- ai, cloud
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 65/100